From 63d96037c0d0424de6176a75e6ab46eb25f33079 Mon Sep 17 00:00:00 2001
From: Anubhav Choudhary <b380723@mlogin100.hpc.dkrz.de>
Date: Wed, 2 Feb 2022 13:44:00 +0100
Subject: [PATCH] transfer scripts
---
.../Figure_1-checkpoint.ipynb | 205 ++++
.../Figure_10-checkpoint.ipynb | 468 ++++++++
.../Figure_11-checkpoint.ipynb | 225 ++++
.../Figure_12-checkpoint.ipynb | 226 ++++
.../Figure_13-checkpoint.ipynb | 280 +++++
.../Figure_14-checkpoint.ipynb | 149 +++
.../Figure_2-checkpoint.ipynb | 161 +++
.../Figure_3-checkpoint.ipynb | 162 +++
.../Figure_4-checkpoint.ipynb | 222 ++++
.../Figure_5-checkpoint.ipynb | 280 +++++
.../Figure_6-checkpoint.ipynb | 481 ++++++++
.../Figure_7-checkpoint.ipynb | 316 +++++
.../Figure_8-checkpoint.ipynb | 305 +++++
.../Figure_9-checkpoint.ipynb | 172 +++
.../Supp_Figure_1-checkpoint.ipynb | 267 +++++
.../Supp_Figure_2-checkpoint.ipynb | 234 ++++
.../Supp_Figure_3-checkpoint.ipynb | 126 ++
scripts/plotting_scripts/Figure_1.ipynb | 205 ++++
scripts/plotting_scripts/Figure_10.ipynb | 468 ++++++++
scripts/plotting_scripts/Figure_11.ipynb | 225 ++++
scripts/plotting_scripts/Figure_12.ipynb | 226 ++++
scripts/plotting_scripts/Figure_13.ipynb | 280 +++++
scripts/plotting_scripts/Figure_14.ipynb | 149 +++
scripts/plotting_scripts/Figure_2.ipynb | 161 +++
scripts/plotting_scripts/Figure_3.ipynb | 162 +++
scripts/plotting_scripts/Figure_4.ipynb | 202 ++++
scripts/plotting_scripts/Figure_5.ipynb | 280 +++++
scripts/plotting_scripts/Figure_6.ipynb | 481 ++++++++
scripts/plotting_scripts/Figure_7.ipynb | 316 +++++
scripts/plotting_scripts/Figure_8.ipynb | 305 +++++
scripts/plotting_scripts/Figure_9.ipynb | 172 +++
scripts/plotting_scripts/Supp_Figure_1.ipynb | 267 +++++
scripts/plotting_scripts/Supp_Figure_2.ipynb | 234 ++++
scripts/plotting_scripts/Supp_Figure_3.ipynb | 126 ++
scripts/processing_scripts/dhr/binning_dhr.py | 1026 +++++++++++++++++
.../dhr/binning_radiative_heating.py | 649 +++++++++++
.../dhr/radiative_heating_calculation.py | 77 ++
.../dynamical_variables/av/av.py | 660 +++++++++++
.../dynamical_variables/av/av_cal.py | 47 +
.../dynamical_variables/pv/pv.py | 660 +++++++++++
.../dynamical_variables/w/w.py | 660 +++++++++++
scripts/processing_scripts/ipv/ipv.py | 348 ++++++
scripts/processing_scripts/ipv/ipv22.py | 351 ++++++
scripts/processing_scripts/ipv/ipv23.py | 348 ++++++
scripts/processing_scripts/ipv/ipv24.py | 350 ++++++
.../processing_scripts/ipv/prepare_data.sh | 44 +
scripts/processing_scripts/pte/pte.ipynb | 511 ++++++++
.../theta_e/prepare_data.sh | 44 +
scripts/processing_scripts/theta_e/thetae.py | 62 +
.../processing_scripts/trajectories/run.sh | 5 +
.../processing_scripts/trajectories/tracevars | 10 +
.../trajectories/tracevars1 | 10 +
.../trajectories/tracevars2 | 8 +
.../trajectories/tracevars3 | 10 +
54 files changed, 14418 insertions(+)
create mode 100755 scripts/plotting_scripts/.ipynb_checkpoints/Figure_1-checkpoint.ipynb
create mode 100644 scripts/plotting_scripts/.ipynb_checkpoints/Figure_10-checkpoint.ipynb
create mode 100644 scripts/plotting_scripts/.ipynb_checkpoints/Figure_11-checkpoint.ipynb
create mode 100644 scripts/plotting_scripts/.ipynb_checkpoints/Figure_12-checkpoint.ipynb
create mode 100644 scripts/plotting_scripts/.ipynb_checkpoints/Figure_13-checkpoint.ipynb
create mode 100644 scripts/plotting_scripts/.ipynb_checkpoints/Figure_14-checkpoint.ipynb
create mode 100755 scripts/plotting_scripts/.ipynb_checkpoints/Figure_2-checkpoint.ipynb
create mode 100755 scripts/plotting_scripts/.ipynb_checkpoints/Figure_3-checkpoint.ipynb
create mode 100755 scripts/plotting_scripts/.ipynb_checkpoints/Figure_4-checkpoint.ipynb
create mode 100755 scripts/plotting_scripts/.ipynb_checkpoints/Figure_5-checkpoint.ipynb
create mode 100644 scripts/plotting_scripts/.ipynb_checkpoints/Figure_6-checkpoint.ipynb
create mode 100755 scripts/plotting_scripts/.ipynb_checkpoints/Figure_7-checkpoint.ipynb
create mode 100755 scripts/plotting_scripts/.ipynb_checkpoints/Figure_8-checkpoint.ipynb
create mode 100755 scripts/plotting_scripts/.ipynb_checkpoints/Figure_9-checkpoint.ipynb
create mode 100644 scripts/plotting_scripts/.ipynb_checkpoints/Supp_Figure_1-checkpoint.ipynb
create mode 100755 scripts/plotting_scripts/.ipynb_checkpoints/Supp_Figure_2-checkpoint.ipynb
create mode 100644 scripts/plotting_scripts/.ipynb_checkpoints/Supp_Figure_3-checkpoint.ipynb
create mode 100755 scripts/plotting_scripts/Figure_1.ipynb
create mode 100644 scripts/plotting_scripts/Figure_10.ipynb
create mode 100644 scripts/plotting_scripts/Figure_11.ipynb
create mode 100644 scripts/plotting_scripts/Figure_12.ipynb
create mode 100644 scripts/plotting_scripts/Figure_13.ipynb
create mode 100644 scripts/plotting_scripts/Figure_14.ipynb
create mode 100755 scripts/plotting_scripts/Figure_2.ipynb
create mode 100755 scripts/plotting_scripts/Figure_3.ipynb
create mode 100755 scripts/plotting_scripts/Figure_4.ipynb
create mode 100755 scripts/plotting_scripts/Figure_5.ipynb
create mode 100644 scripts/plotting_scripts/Figure_6.ipynb
create mode 100755 scripts/plotting_scripts/Figure_7.ipynb
create mode 100755 scripts/plotting_scripts/Figure_8.ipynb
create mode 100755 scripts/plotting_scripts/Figure_9.ipynb
create mode 100644 scripts/plotting_scripts/Supp_Figure_1.ipynb
create mode 100755 scripts/plotting_scripts/Supp_Figure_2.ipynb
create mode 100644 scripts/plotting_scripts/Supp_Figure_3.ipynb
create mode 100755 scripts/processing_scripts/dhr/binning_dhr.py
create mode 100755 scripts/processing_scripts/dhr/binning_radiative_heating.py
create mode 100755 scripts/processing_scripts/dhr/radiative_heating_calculation.py
create mode 100755 scripts/processing_scripts/dynamical_variables/av/av.py
create mode 100755 scripts/processing_scripts/dynamical_variables/av/av_cal.py
create mode 100755 scripts/processing_scripts/dynamical_variables/pv/pv.py
create mode 100755 scripts/processing_scripts/dynamical_variables/w/w.py
create mode 100755 scripts/processing_scripts/ipv/ipv.py
create mode 100755 scripts/processing_scripts/ipv/ipv22.py
create mode 100755 scripts/processing_scripts/ipv/ipv23.py
create mode 100755 scripts/processing_scripts/ipv/ipv24.py
create mode 100755 scripts/processing_scripts/ipv/prepare_data.sh
create mode 100755 scripts/processing_scripts/pte/pte.ipynb
create mode 100755 scripts/processing_scripts/theta_e/prepare_data.sh
create mode 100755 scripts/processing_scripts/theta_e/thetae.py
create mode 100755 scripts/processing_scripts/trajectories/run.sh
create mode 100755 scripts/processing_scripts/trajectories/tracevars
create mode 100755 scripts/processing_scripts/trajectories/tracevars1
create mode 100755 scripts/processing_scripts/trajectories/tracevars2
create mode 100755 scripts/processing_scripts/trajectories/tracevars3
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Figure_1-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_1-checkpoint.ipynb
new file mode 100755
index 0000000..f830ff5
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_1-checkpoint.ipynb
@@ -0,0 +1,205 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "# load packages\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib as mpl\n",
+ "import xarray as xr\n",
+ "import pickle\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "import cartopy.mpl.ticker as cticker\n",
+ "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
+ "import matplotlib.ticker as mticker\n",
+ "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
+ "from scipy.ndimage.filters import gaussian_filter"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "<ipython-input-3-3b277d79210a>:69: MatplotlibDeprecationWarning: The 'extend' parameter to Colorbar has no effect because it is overridden by the mappable; it is deprecated since 3.3 and will be removed two minor releases later.\n",
+ " cb = fig.colorbar(cf, cax=cbar_ax, orientation='vertical', ticks=clevs, extend='')\n",
+ "<ipython-input-3-3b277d79210a>:109: MatplotlibDeprecationWarning: The 'extend' parameter to Colorbar has no effect because it is overridden by the mappable; it is deprecated since 3.3 and will be removed two minor releases later.\n",
+ " cb = fig.colorbar(cf, cax=cbar_ax, orientation='vertical', ticks=clevs, extend='')\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 1440x504 with 8 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "## plot equivalent potential temperature and isentropic potential vorticity at 24h interval\n",
+ "\n",
+ "#Loading mean sea level pressure data\n",
+ "ipath='/work/bb1018/b380723/0.025convoff/1m/other/'\n",
+ "file='mslp.nc'\n",
+ "ds=xr.open_dataset(ipath+file)\n",
+ "\n",
+ "timesteps = ['2016-09-22T12:00', '2016-09-23T12:00', '2016-09-24T12:00']\n",
+ "\n",
+ "#setting map\n",
+ "proj = ccrs.PlateCarree()\n",
+ "fig, ax = plt.subplots(2, 3, figsize=(20,7), subplot_kw=dict(projection=proj))\n",
+ "ax = ax.reshape(-1)\n",
+ "for i in range(ax.shape[0]):\n",
+ " ax[i].coastlines(rasterized=True)\n",
+ " ax[i].set_aspect('auto')\n",
+ " ax[i].tick_params(labelsize=16)\n",
+ " ax[i].set_extent([-50, 10, 35, 70], ccrs.PlateCarree())\n",
+ " \n",
+ " # set xticks and yticks for latitudes and longitudes\n",
+ " # xaxis: longitudes\n",
+ " if i in [3, 4, 5]:\n",
+ " ax[i].set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ " lon_formatter = LongitudeFormatter(#zero_direction_label=True,\n",
+ " degree_symbol='',\n",
+ " dateline_direction_label=True)\n",
+ " ax[i].xaxis.set_major_formatter(lon_formatter)\n",
+ " del lon_formatter\n",
+ " # yaxis: latitudes\n",
+ " if i in [0, 3]:\n",
+ " ax[i].set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ " lat_formatter = LatitudeFormatter(degree_symbol='')\n",
+ " ax[i].yaxis.set_major_formatter(lat_formatter)\n",
+ " del lat_formatter\n",
+ " \n",
+ "\n",
+ "fig.canvas.draw()\n",
+ "fig.tight_layout()\n",
+ "\n",
+ "#mslp contour\n",
+ "for i in [0,1,2]:\n",
+ " clevs=np.arange(960,1020,5)\n",
+ " cf = ax[i].contour(ds.lon, ds.lat,(ds['pres_msl']/100).sel(time=timesteps[i]),clevs,colors='maroon',linewidths=0.3,extend='both')\n",
+ " plt.clabel(cf, fmt='%d', fontsize=10, inline=1, inline_spacing=5)\n",
+ " ax[i].set_title(timesteps[i][0:10] + ' ' + timesteps[i][11:13] + 'UTC',loc='center',fontsize=22)\n",
+ "ax[0].set_title('(a)', loc='left', fontsize=22)\n",
+ "ax[1].set_title('(b)', loc='left', fontsize=22)\n",
+ "ax[2].set_title('(c)', loc='left', fontsize=22)\n",
+ "\n",
+ "#theta (equivalent potential temperature at 850hPa)\n",
+ "thetae=[]\n",
+ "for i in [22,23,24]:\n",
+ " with open(ipath+'ap2pl_thetae'+str(i)+'.pkl',\"rb\") as f:\n",
+ " thetae.append(pickle.load(f))\n",
+ "\n",
+ "#lat-lon information for plotting\n",
+ "data=xr.open_dataset(ipath+'input1.nc')\n",
+ "lon=data.lon\n",
+ "lat=data.lat\n",
+ "del data\n",
+ "\n",
+ "#plotting\n",
+ "for i in [0,1,2]:\n",
+ " clevs=np.arange(260,390,5)\n",
+ " cf=ax[i].contourf(lon,lat,thetae[i].squeeze(axis=0),clevs, cmap='coolwarm')\n",
+ "\n",
+ "#colorbar for theta\n",
+ "cbar_ax = fig.add_axes([0.82, 0.57, 0.01, 0.41]) # left,bottom,width,height\n",
+ "clevs=np.arange(260,390,15)\n",
+ "cb = fig.colorbar(cf, cax=cbar_ax, orientation='vertical', ticks=clevs, extend='')\n",
+ "cb.set_label('THE (K)', fontsize=15, labelpad=5)\n",
+ "cb.ax.tick_params(labelsize=14)\n",
+ "fig.subplots_adjust(right=0.8, wspace=0.1, hspace=0.2)\n",
+ "del cbar_ax, cb, cf, clevs\n",
+ "\n",
+ "#cyclone location mark \n",
+ "data=[]\n",
+ "ds_final_coord=[]\n",
+ "for i in [0,1,2]:\n",
+ " data.append(ds['pres_msl'].sel(time=timesteps[i]).sel(lat=slice(45, 62), lon=slice(-50,-18)))\n",
+ " ds_final_coord.append(data[i].where(data[i]==data[i].min(), drop=True))\n",
+ " ax[i].plot(ds_final_coord[i].lon, ds_final_coord[i].lat, marker='x', markeredgecolor='blue', markersize=14, mew=3)\n",
+ " \n",
+ " \n",
+ "#Potential vorticity (PV) on the 320 K isentrope\n",
+ "ipath='/work/bb1018/b380723/0.025convoff/1m/'\n",
+ "ipv=[]\n",
+ "for i in [22,23,24,22,23,24]:\n",
+ " with open(ipath+'ipv'+str(i)+'.pkl',\"rb\") as f:\n",
+ " ipv.append(pickle.load(f))\n",
+ "\n",
+ "cmap = mpl.colors.ListedColormap([\"purple\", \"darkmagenta\", \"magenta\", \"royalblue\", \"cornflowerblue\", \"lightskyblue\", \"lightsteelblue\", \"navajowhite\", \"burlywood\", \"darkorange\", \"crimson\", \"coral\", \"gold\", \"yellow\", \"lightgoldenrodyellow\", \"lawngreen\", \"forestgreen\", \"seagreen\"])\n",
+ "norm = mpl.colors.BoundaryNorm([-10,-5,-2,-1.5,-1,-0.5,0,0.5,1,1.5,2,3,4,6,8,10.5,13,24], cmap.N)\n",
+ "clevs=[-5,-2,-1.5,-1,-0.5,0,0.5,1,1.5,2,3,4,6,8,10.5,13,24]\n",
+ "\n",
+ "#lat-lon information for plotting\n",
+ "ds=xr.open_dataset(ipath+'input1.nc')\n",
+ "\n",
+ "#plotting\n",
+ "for i in [3,4,5]:\n",
+ " cf=ax[i].contourf(ds.lon[:-1],ds.lat[:-1],ipv[i]/1e-6,clevs,cmap=cmap,norm=norm,extend='both',transform=ccrs.PlateCarree()) #RdBu_r\n",
+ "\n",
+ "ax[3].set_title('(d)', loc='left', fontsize=22)\n",
+ "ax[4].set_title('(e)', loc='left', fontsize=22)\n",
+ "ax[5].set_title('(f)', loc='left', fontsize=22)\n",
+ "\n",
+ "# colorbar for PV\n",
+ "cbar_ax = fig.add_axes([0.82, 0.07, 0.01, 0.41]) # left,bottom,width,height\n",
+ "clevs=[-2,-1,0,1,2,4,8,13]\n",
+ "cb = fig.colorbar(cf, cax=cbar_ax, orientation='vertical', ticks=clevs, extend='')\n",
+ "cb.set_label('PV (PVU)', fontsize=15, labelpad=5)\n",
+ "cb.ax.tick_params(labelsize=14)\n",
+ "fig.subplots_adjust(right=0.8, wspace=0.1, hspace=0.2)\n",
+ "del cbar_ax, cb, cf, clevs\n",
+ "\n",
+ "plt.show(fig)\n",
+ "plt.close(fig)\n",
+ "del fig, ax, proj\n",
+ "del timesteps"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 unstable (using the module python3/unstable)",
+ "language": "python",
+ "name": "python3_unstable"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Figure_10-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_10-checkpoint.ipynb
new file mode 100644
index 0000000..727983e
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_10-checkpoint.ipynb
@@ -0,0 +1,468 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import pickle\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#########mslp drop b/w 3-21h from native_filtered mslp coordinates###########\n",
+ "\n",
+ "####1m###############################################################################\n",
+ "\n",
+ "path='/mnt/lustre01/pf/b/b380459/wcb-vladiana/'\n",
+ "pres1_1m=xr.open_dataset(path+'nawdexnwp-80km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres2_1m=xr.open_dataset(path+'nawdexnwp-40km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres3_1m=xr.open_dataset(path+'nawdexnwp-20km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres4_1m=xr.open_dataset(path+'nawdexnwp-10km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres5_1m=xr.open_dataset(path+'nawdexnwp-5km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres6_1m=xr.open_dataset(path+'nawdexnwp-2km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres7_1m=xr.open_dataset(path+'nawdexnwp-10km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres8_1m=xr.open_dataset(path+'nawdexnwp-5km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres9_1m=xr.open_dataset(path+'nawdexnwp-2km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "\n",
+ "y1=pres1_1m['pres_msl_min_filtered'][3]-pres1_1m['pres_msl_min_filtered'][21]\n",
+ "y2=pres2_1m['pres_msl_min_filtered'][3]-pres2_1m['pres_msl_min_filtered'][21]\n",
+ "y3=pres3_1m['pres_msl_min_filtered'][3]-pres3_1m['pres_msl_min_filtered'][21]\n",
+ "y4=pres4_1m['pres_msl_min_filtered'][3]-pres4_1m['pres_msl_min_filtered'][21]\n",
+ "y5=pres5_1m['pres_msl_min_filtered'][3]-pres5_1m['pres_msl_min_filtered'][21]\n",
+ "y6=pres6_1m['pres_msl_min_filtered'][3]-pres6_1m['pres_msl_min_filtered'][21]\n",
+ "y7=pres7_1m['pres_msl_min_filtered'][3]-pres7_1m['pres_msl_min_filtered'][21]\n",
+ "y8=pres8_1m['pres_msl_min_filtered'][3]-pres8_1m['pres_msl_min_filtered'][21]\n",
+ "y9=pres9_1m['pres_msl_min_filtered'][3]-pres9_1m['pres_msl_min_filtered'][21]\n",
+ "\n",
+ "y=[y1/100,y2/100,y3/100,y4/100,y5/100,y6/100,y7/100,y8/100,y9/100]\n",
+ "\n",
+ "\n",
+ "\n",
+ "############################################2m############################################\n",
+ "\n",
+ "pres1_2m=xr.open_dataset(path+'nawdexnwp-80km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres2_2m=xr.open_dataset(path+'nawdexnwp-40km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres3_2m=xr.open_dataset(path+'nawdexnwp-20km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres4_2m=xr.open_dataset(path+'nawdexnwp-10km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres5_2m=xr.open_dataset(path+'nawdexnwp-5km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres6_2m=xr.open_dataset(path+'nawdexnwp-2km-mis-0004_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres7_2m=xr.open_dataset(path+'nawdexnwp-10km-mis-0004_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres8_2m=xr.open_dataset(path+'nawdexnwp-5km-mis-0004_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres9_2m=xr.open_dataset(path+'nawdexnwp-2km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "\n",
+ "\n",
+ "y1=pres1_2m['pres_msl_min_filtered'][3]-pres1_2m['pres_msl_min_filtered'][21]\n",
+ "y2=pres2_2m['pres_msl_min_filtered'][3]-pres2_2m['pres_msl_min_filtered'][21]\n",
+ "y3=pres3_2m['pres_msl_min_filtered'][3]-pres3_2m['pres_msl_min_filtered'][21]\n",
+ "y4=pres4_2m['pres_msl_min_filtered'][3]-pres4_2m['pres_msl_min_filtered'][21]\n",
+ "y5=pres5_2m['pres_msl_min_filtered'][3]-pres5_2m['pres_msl_min_filtered'][21]\n",
+ "y6=pres6_2m['pres_msl_min_filtered'][3]-pres6_2m['pres_msl_min_filtered'][21]\n",
+ "y7=pres7_2m['pres_msl_min_filtered'][3]-pres7_2m['pres_msl_min_filtered'][21]\n",
+ "y8=pres8_2m['pres_msl_min_filtered'][3]-pres8_2m['pres_msl_min_filtered'][21]\n",
+ "y9=pres9_2m['pres_msl_min_filtered'][3]-pres9_2m['pres_msl_min_filtered'][21]\n",
+ "\n",
+ "y2m=[y1/100,y2/100,y3/100,y4/100,y5/100,y6/100,y7/100,y8/100,y9/100]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "###############loading dhr sum over 3-21h##################################################\n",
+ "\n",
+ "#########################1m#########################\n",
+ "\n",
+ "\n",
+ "ds1=xr.open_dataset('../../0.8/1m/outtrace3.nc')\n",
+ "ds2=xr.open_dataset('../../0.8/1m/outtrace3box1.nc')\n",
+ "ds3=xr.open_dataset('../../0.8/1m/outtrace3box2.nc')\n",
+ "ds4=xr.open_dataset('../../0.8/1m/outtrace3box3.nc')\n",
+ "ds5=xr.open_dataset('../../0.8/1m/outtrace3box4.nc')\n",
+ "ds6=xr.open_dataset('../../0.4/1m/outtrace3.nc')\n",
+ "ds7=xr.open_dataset('../../0.4/1m/outtrace3box1.nc')\n",
+ "ds8=xr.open_dataset('../../0.4/1m/outtrace3box2.nc')\n",
+ "ds9=xr.open_dataset('../../0.4/1m/outtrace3box3.nc')\n",
+ "ds10=xr.open_dataset('../../0.4/1m/outtrace3box4.nc')\n",
+ "ds11=xr.open_dataset('../../0.2/1m/outtrace3.nc')\n",
+ "ds12=xr.open_dataset('../../0.2/1m/outtrace3box1.nc')\n",
+ "ds13=xr.open_dataset('../../0.2/1m/outtrace3box2.nc')\n",
+ "ds14=xr.open_dataset('../../0.2/1m/outtrace3box3.nc')\n",
+ "ds15=xr.open_dataset('../../0.2/1m/outtrace3box4.nc')\n",
+ "ds16=xr.open_dataset('../../0.1convon/1m/outtrace3.nc')\n",
+ "ds17=xr.open_dataset('../../0.1convon/1m/outtrace3box1.nc')\n",
+ "ds18=xr.open_dataset('../../0.1convon/1m/outtrace3box2.nc')\n",
+ "ds19=xr.open_dataset('../../0.1convon/1m/outtrace3box3.nc')\n",
+ "ds20=xr.open_dataset('../../0.1convon/1m/outtrace3box4.nc')\n",
+ "ds21=xr.open_dataset('../../0.1convoff/1m/outtrace3.nc')\n",
+ "ds22=xr.open_dataset('../../0.1convoff/1m/outtrace3box1.nc')\n",
+ "ds23=xr.open_dataset('../../0.1convoff/1m/outtrace3box2.nc')\n",
+ "ds24=xr.open_dataset('../../0.1convoff/1m/outtrace3box3.nc')\n",
+ "ds25=xr.open_dataset('../../0.1convoff/1m/outtrace3box4.nc')\n",
+ "ds26=xr.open_dataset('../../0.05convon/1m/outtrace3.nc')\n",
+ "ds27=xr.open_dataset('../../0.05convon/1m/outtrace3box1.nc')\n",
+ "ds28=xr.open_dataset('../../0.05convon/1m/outtrace3box2.nc')\n",
+ "ds29=xr.open_dataset('../../0.05convon/1m/outtrace3box3.nc')\n",
+ "ds30=xr.open_dataset('../../0.05convon/1m/outtrace3box4.nc')\n",
+ "ds31=xr.open_dataset('../../0.05convoff/1m/outtrace3.nc')\n",
+ "ds32=xr.open_dataset('../../0.05convoff/1m/outtrace3box1.nc')\n",
+ "ds33=xr.open_dataset('../../0.05convoff/1m/outtrace3box2.nc')\n",
+ "ds34=xr.open_dataset('../../0.05convoff/1m/outtrace3box3.nc')\n",
+ "ds35=xr.open_dataset('../../0.05convoff/1m/outtrace3box4.nc')\n",
+ "ds36=xr.open_dataset('../../0.025convon/1m/outtrace3.nc')\n",
+ "ds37=xr.open_dataset('../../0.025convon/1m/outtrace3box1.nc')\n",
+ "ds38=xr.open_dataset('../../0.025convon/1m/outtrace3box2.nc')\n",
+ "ds39=xr.open_dataset('../../0.025convon/1m/outtrace3box3.nc')\n",
+ "ds40=xr.open_dataset('../../0.025convon/1m/outtrace3box4.nc')\n",
+ "ds41=xr.open_dataset('../../0.025convoff/1m/outtrace3.nc')\n",
+ "ds42=xr.open_dataset('../../0.025convoff/1m/outtrace3box1.nc')\n",
+ "ds43=xr.open_dataset('../../0.025convoff/1m/outtrace3box2.nc')\n",
+ "ds44=xr.open_dataset('../../0.025convoff/1m/outtrace3box3.nc')\n",
+ "ds45=xr.open_dataset('../../0.025convoff/1m/outtrace3box4.nc')\n",
+ "\n",
+ "\n",
+ "x1=['80', '40', '20', '10', '5', '2.5']\n",
+ "x2=['10_convoff', '5_convoff', '2.5_convoff']\n",
+ "trajtot=[ds1['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds6['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds11['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds16['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds26['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds36['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj1=[ds2['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds7['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds12['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds17['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds27['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds37['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2=[ds3['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds8['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds13['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds18['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds28['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds38['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj3=[ds4['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds9['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds14['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds19['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds29['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds39['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj4=[0, ds10['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds15['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds20['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds30['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds40['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "\n",
+ "trajtotconvoff=[ds21['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds31['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds41['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj1convoff=[ds22['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds32['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds42['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2convoff=[ds23['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds33['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds43['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj3convoff=[ds24['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds34['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds44['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj4convoff=[ds25['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds35['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds45['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "\n",
+ "\n",
+ "###############################2m###########################################################################\n",
+ "\n",
+ "\n",
+ "ds1=xr.open_dataset('../../0.8/2m/outtrace3.nc')\n",
+ "ds2=xr.open_dataset('../../0.8/2m/outtrace3box1.nc')\n",
+ "ds3=xr.open_dataset('../../0.8/2m/outtrace3box2.nc')\n",
+ "ds4=xr.open_dataset('../../0.8/2m/outtrace3box3.nc')\n",
+ "ds5=xr.open_dataset('../../0.8/2m/outtrace3box4.nc')\n",
+ "ds6=xr.open_dataset('../../0.4/2m/outtrace3.nc')\n",
+ "ds7=xr.open_dataset('../../0.4/2m/outtrace3box1.nc')\n",
+ "ds8=xr.open_dataset('../../0.4/2m/outtrace3box2.nc')\n",
+ "ds9=xr.open_dataset('../../0.4/2m/outtrace3box3.nc')\n",
+ "ds10=xr.open_dataset('../../0.4/2m/outtrace3box4.nc')\n",
+ "ds11=xr.open_dataset('../../0.2/2m/outtrace3.nc')\n",
+ "ds12=xr.open_dataset('../../0.2/2m/outtrace3box1.nc')\n",
+ "ds13=xr.open_dataset('../../0.2/2m/outtrace3box2.nc')\n",
+ "ds14=xr.open_dataset('../../0.2/2m/outtrace3box3.nc')\n",
+ "ds15=xr.open_dataset('../../0.2/2m/outtrace3box4.nc')\n",
+ "ds16=xr.open_dataset('../../0.1convon/2m/outtrace3.nc')\n",
+ "ds17=xr.open_dataset('../../0.1convon/2m/outtrace3box1.nc')\n",
+ "ds18=xr.open_dataset('../../0.1convon/2m/outtrace3box2.nc')\n",
+ "ds19=xr.open_dataset('../../0.1convon/2m/outtrace3box3.nc')\n",
+ "ds20=xr.open_dataset('../../0.1convon/2m/outtrace3box4.nc')\n",
+ "ds21=xr.open_dataset('../../0.1convoff/2m/outtrace3.nc')\n",
+ "ds22=xr.open_dataset('../../0.1convoff/2m/outtrace3box1.nc')\n",
+ "ds23=xr.open_dataset('../../0.1convoff/2m/outtrace3box2.nc')\n",
+ "ds24=xr.open_dataset('../../0.1convoff/2m/outtrace3box3.nc')\n",
+ "ds25=xr.open_dataset('../../0.1convoff/2m/outtrace3box4.nc')\n",
+ "ds26=xr.open_dataset('../../0.05convon/2m/outtrace3.nc')\n",
+ "ds27=xr.open_dataset('../../0.05convon/2m/outtrace3box1.nc')\n",
+ "ds28=xr.open_dataset('../../0.05convon/2m/outtrace3box2.nc')\n",
+ "ds29=xr.open_dataset('../../0.05convon/2m/outtrace3box3.nc')\n",
+ "ds30=xr.open_dataset('../../0.05convon/2m/outtrace3box4.nc')\n",
+ "ds31=xr.open_dataset('../../0.05convoff/2m/outtrace3.nc')\n",
+ "ds32=xr.open_dataset('../../0.05convoff/2m/outtrace3box1.nc')\n",
+ "ds33=xr.open_dataset('../../0.05convoff/2m/outtrace3box2.nc')\n",
+ "ds34=xr.open_dataset('../../0.05convoff/2m/outtrace3box3.nc')\n",
+ "ds35=xr.open_dataset('../../0.05convoff/2m/outtrace3box4.nc')\n",
+ "ds36=xr.open_dataset('../../0.025convon/2m/outtrace3.nc')\n",
+ "ds37=xr.open_dataset('../../0.025convon/2m/outtrace3box1.nc')\n",
+ "ds38=xr.open_dataset('../../0.025convon/2m/outtrace3box2.nc')\n",
+ "ds39=xr.open_dataset('../../0.025convon/2m/outtrace3box3.nc')\n",
+ "ds40=xr.open_dataset('../../0.025convon/2m/outtrace3box4.nc')\n",
+ "ds41=xr.open_dataset('../../0.025convoff/2m/outtrace3.nc')\n",
+ "ds42=xr.open_dataset('../../0.025convoff/2m/outtrace3box1.nc')\n",
+ "ds43=xr.open_dataset('../../0.025convoff/2m/outtrace3box2.nc')\n",
+ "ds44=xr.open_dataset('../../0.025convoff/2m/outtrace3box3.nc')\n",
+ "ds45=xr.open_dataset('../../0.025convoff/2m/outtrace3box4.nc')\n",
+ "\n",
+ "\n",
+ "x1=['80', '40', '20', '10', '5', '2.5']\n",
+ "x2=['10_convoff', '5_convoff', '2.5_convoff']\n",
+ "traj2mtot=[ds1['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds6['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds11['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds16['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds26['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds36['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m1=[ds2['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds7['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds12['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds17['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds27['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds37['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m2=[ds3['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds8['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds13['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds18['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds28['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds38['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m3=[ds4['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds9['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds14['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds19['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds29['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds39['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m4=[0, ds10['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds15['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds20['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds30['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds40['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "\n",
+ "traj2mtotconvoff=[ds21['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds31['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds41['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m1convoff=[ds22['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds32['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds42['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m2convoff=[ds23['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds33['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds43['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m3convoff=[ds24['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds34['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds44['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m4convoff=[ds25['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds35['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds45['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 576x1728 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "def colordictionary():\n",
+ " # manually defined colors\n",
+ " mymaroon= np.array([128, 0, 0])/255\n",
+ " myred = np.array([230, 25, 75])/255\n",
+ " myorange= np.array([245, 130, 48])/255\n",
+ " mymagenta=np.array([240, 50, 230 ])/255\n",
+ " myolive = np.array([128, 128, 0])/255\n",
+ " myteal = np.array([ 0, 128, 128])/255\n",
+ " myblue = np.array([ 0, 130, 200])/255\n",
+ " mynavy = np.array([ 0, 0, 128])/255\n",
+ "\n",
+ " return {'80km': mymaroon, '40km': myred, '20km': myorange, '10km': myolive, '5km': myteal, '2km': myblue}\n",
+ "colors=colordictionary()\n",
+ "###########################################\n",
+ "\n",
+ "###############loading dhr sum over 3-21h##################################################\n",
+ "\n",
+ "#########################1m#########################\n",
+ "\n",
+ "\n",
+ "ds1=xr.open_dataset('../../0.8/1m/outtrace3.nc')\n",
+ "ds2=xr.open_dataset('../../0.8/1m/outtrace3box1.nc')\n",
+ "ds3=xr.open_dataset('../../0.8/1m/outtrace3box2.nc')\n",
+ "ds4=xr.open_dataset('../../0.8/1m/outtrace3box3.nc')\n",
+ "ds5=xr.open_dataset('../../0.8/1m/outtrace3box4.nc')\n",
+ "ds6=xr.open_dataset('../../0.4/1m/outtrace3.nc')\n",
+ "ds7=xr.open_dataset('../../0.4/1m/outtrace3box1.nc')\n",
+ "ds8=xr.open_dataset('../../0.4/1m/outtrace3box2.nc')\n",
+ "ds9=xr.open_dataset('../../0.4/1m/outtrace3box3.nc')\n",
+ "ds10=xr.open_dataset('../../0.4/1m/outtrace3box4.nc')\n",
+ "ds11=xr.open_dataset('../../0.2/1m/outtrace3.nc')\n",
+ "ds12=xr.open_dataset('../../0.2/1m/outtrace3box1.nc')\n",
+ "ds13=xr.open_dataset('../../0.2/1m/outtrace3box2.nc')\n",
+ "ds14=xr.open_dataset('../../0.2/1m/outtrace3box3.nc')\n",
+ "ds15=xr.open_dataset('../../0.2/1m/outtrace3box4.nc')\n",
+ "ds16=xr.open_dataset('../../0.1convon/1m/outtrace3.nc')\n",
+ "ds17=xr.open_dataset('../../0.1convon/1m/outtrace3box1.nc')\n",
+ "ds18=xr.open_dataset('../../0.1convon/1m/outtrace3box2.nc')\n",
+ "ds19=xr.open_dataset('../../0.1convon/1m/outtrace3box3.nc')\n",
+ "ds20=xr.open_dataset('../../0.1convon/1m/outtrace3box4.nc')\n",
+ "ds21=xr.open_dataset('../../0.1convoff/1m/outtrace3.nc')\n",
+ "ds22=xr.open_dataset('../../0.1convoff/1m/outtrace3box1.nc')\n",
+ "ds23=xr.open_dataset('../../0.1convoff/1m/outtrace3box2.nc')\n",
+ "ds24=xr.open_dataset('../../0.1convoff/1m/outtrace3box3.nc')\n",
+ "ds25=xr.open_dataset('../../0.1convoff/1m/outtrace3box4.nc')\n",
+ "ds26=xr.open_dataset('../../0.05convon/1m/outtrace3.nc')\n",
+ "ds27=xr.open_dataset('../../0.05convon/1m/outtrace3box1.nc')\n",
+ "ds28=xr.open_dataset('../../0.05convon/1m/outtrace3box2.nc')\n",
+ "ds29=xr.open_dataset('../../0.05convon/1m/outtrace3box3.nc')\n",
+ "ds30=xr.open_dataset('../../0.05convon/1m/outtrace3box4.nc')\n",
+ "ds31=xr.open_dataset('../../0.05convoff/1m/outtrace3.nc')\n",
+ "ds32=xr.open_dataset('../../0.05convoff/1m/outtrace3box1.nc')\n",
+ "ds33=xr.open_dataset('../../0.05convoff/1m/outtrace3box2.nc')\n",
+ "ds34=xr.open_dataset('../../0.05convoff/1m/outtrace3box3.nc')\n",
+ "ds35=xr.open_dataset('../../0.05convoff/1m/outtrace3box4.nc')\n",
+ "ds36=xr.open_dataset('../../0.025convon/1m/outtrace3.nc')\n",
+ "ds37=xr.open_dataset('../../0.025convon/1m/outtrace3box1.nc')\n",
+ "ds38=xr.open_dataset('../../0.025convon/1m/outtrace3box2.nc')\n",
+ "ds39=xr.open_dataset('../../0.025convon/1m/outtrace3box3.nc')\n",
+ "ds40=xr.open_dataset('../../0.025convon/1m/outtrace3box4.nc')\n",
+ "ds41=xr.open_dataset('../../0.025convoff/1m/outtrace3.nc')\n",
+ "ds42=xr.open_dataset('../../0.025convoff/1m/outtrace3box1.nc')\n",
+ "ds43=xr.open_dataset('../../0.025convoff/1m/outtrace3box2.nc')\n",
+ "ds44=xr.open_dataset('../../0.025convoff/1m/outtrace3box3.nc')\n",
+ "ds45=xr.open_dataset('../../0.025convoff/1m/outtrace3box4.nc')\n",
+ "\n",
+ "\n",
+ "x1=['80', '40', '20', '10', '5', '2.5']\n",
+ "x2=['10_convoff', '5_convoff', '2.5_convoff']\n",
+ "trajtot=[ds1['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds6['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds11['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds16['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds26['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds36['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj1=[ds2['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds7['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds12['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds17['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds27['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds37['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2=[ds3['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds8['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds13['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds18['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds28['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds38['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj3=[ds4['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds9['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds14['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds19['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds29['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds39['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj4=[0, ds10['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds15['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds20['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds30['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds40['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "\n",
+ "trajtotconvoff=[ds21['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds31['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds41['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj1convoff=[ds22['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds32['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds42['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2convoff=[ds23['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds33['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds43['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj3convoff=[ds24['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds34['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds44['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj4convoff=[ds25['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds35['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds45['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "\n",
+ "\n",
+ "###############################2m###########################################################################\n",
+ "\n",
+ "\n",
+ "ds1=xr.open_dataset('../../0.8/2m/outtrace3.nc')\n",
+ "ds2=xr.open_dataset('../../0.8/2m/outtrace3box1.nc')\n",
+ "ds3=xr.open_dataset('../../0.8/2m/outtrace3box2.nc')\n",
+ "ds4=xr.open_dataset('../../0.8/2m/outtrace3box3.nc')\n",
+ "ds5=xr.open_dataset('../../0.8/2m/outtrace3box4.nc')\n",
+ "ds6=xr.open_dataset('../../0.4/2m/outtrace3.nc')\n",
+ "ds7=xr.open_dataset('../../0.4/2m/outtrace3box1.nc')\n",
+ "ds8=xr.open_dataset('../../0.4/2m/outtrace3box2.nc')\n",
+ "ds9=xr.open_dataset('../../0.4/2m/outtrace3box3.nc')\n",
+ "ds10=xr.open_dataset('../../0.4/2m/outtrace3box4.nc')\n",
+ "ds11=xr.open_dataset('../../0.2/2m/outtrace3.nc')\n",
+ "ds12=xr.open_dataset('../../0.2/2m/outtrace3box1.nc')\n",
+ "ds13=xr.open_dataset('../../0.2/2m/outtrace3box2.nc')\n",
+ "ds14=xr.open_dataset('../../0.2/2m/outtrace3box3.nc')\n",
+ "ds15=xr.open_dataset('../../0.2/2m/outtrace3box4.nc')\n",
+ "ds16=xr.open_dataset('../../0.1convon/2m/outtrace3.nc')\n",
+ "ds17=xr.open_dataset('../../0.1convon/2m/outtrace3box1.nc')\n",
+ "ds18=xr.open_dataset('../../0.1convon/2m/outtrace3box2.nc')\n",
+ "ds19=xr.open_dataset('../../0.1convon/2m/outtrace3box3.nc')\n",
+ "ds20=xr.open_dataset('../../0.1convon/2m/outtrace3box4.nc')\n",
+ "ds21=xr.open_dataset('../../0.1convoff/2m/outtrace3.nc')\n",
+ "ds22=xr.open_dataset('../../0.1convoff/2m/outtrace3box1.nc')\n",
+ "ds23=xr.open_dataset('../../0.1convoff/2m/outtrace3box2.nc')\n",
+ "ds24=xr.open_dataset('../../0.1convoff/2m/outtrace3box3.nc')\n",
+ "ds25=xr.open_dataset('../../0.1convoff/2m/outtrace3box4.nc')\n",
+ "ds26=xr.open_dataset('../../0.05convon/2m/outtrace3.nc')\n",
+ "ds27=xr.open_dataset('../../0.05convon/2m/outtrace3box1.nc')\n",
+ "ds28=xr.open_dataset('../../0.05convon/2m/outtrace3box2.nc')\n",
+ "ds29=xr.open_dataset('../../0.05convon/2m/outtrace3box3.nc')\n",
+ "ds30=xr.open_dataset('../../0.05convon/2m/outtrace3box4.nc')\n",
+ "ds31=xr.open_dataset('../../0.05convoff/2m/outtrace3.nc')\n",
+ "ds32=xr.open_dataset('../../0.05convoff/2m/outtrace3box1.nc')\n",
+ "ds33=xr.open_dataset('../../0.05convoff/2m/outtrace3box2.nc')\n",
+ "ds34=xr.open_dataset('../../0.05convoff/2m/outtrace3box3.nc')\n",
+ "ds35=xr.open_dataset('../../0.05convoff/2m/outtrace3box4.nc')\n",
+ "ds36=xr.open_dataset('../../0.025convon/2m/outtrace3.nc')\n",
+ "ds37=xr.open_dataset('../../0.025convon/2m/outtrace3box1.nc')\n",
+ "ds38=xr.open_dataset('../../0.025convon/2m/outtrace3box2.nc')\n",
+ "ds39=xr.open_dataset('../../0.025convon/2m/outtrace3box3.nc')\n",
+ "ds40=xr.open_dataset('../../0.025convon/2m/outtrace3box4.nc')\n",
+ "ds41=xr.open_dataset('../../0.025convoff/2m/outtrace3.nc')\n",
+ "ds42=xr.open_dataset('../../0.025convoff/2m/outtrace3box1.nc')\n",
+ "ds43=xr.open_dataset('../../0.025convoff/2m/outtrace3box2.nc')\n",
+ "ds44=xr.open_dataset('../../0.025convoff/2m/outtrace3box3.nc')\n",
+ "ds45=xr.open_dataset('../../0.025convoff/2m/outtrace3box4.nc')\n",
+ "\n",
+ "\n",
+ "x1=['80', '40', '20', '10', '5', '2.5']\n",
+ "x2=['10_convoff', '5_convoff', '2.5_convoff']\n",
+ "traj2mtot=[ds1['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds6['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds11['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds16['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds26['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds36['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m1=[ds2['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds7['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds12['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds17['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds27['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds37['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m2=[ds3['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds8['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds13['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds18['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds28['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds38['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m3=[ds4['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds9['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds14['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds19['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds29['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds39['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m4=[0, ds10['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds15['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds20['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds30['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds40['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "\n",
+ "traj2mtotconvoff=[ds21['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds31['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds41['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m1convoff=[ds22['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds32['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds42['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m2convoff=[ds23['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds33['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds43['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m3convoff=[ds24['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds34['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds44['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m4convoff=[ds25['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds35['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds45['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "\n",
+ "\n",
+ "#############all traj#####################################\n",
+ "\n",
+ "\n",
+ "plt.figure(figsize=(8,24))\n",
+ "plt.rcParams.update({'font.size': 11})\n",
+ "plt.subplots_adjust(hspace = 0.6, wspace=0.5)\n",
+ "\n",
+ "ax= plt.subplot(621)\n",
+ "\n",
+ "ax.plot(trajtot[0],y[0], marker='o', markersize=7, label='80km', color=colors['80km'],clip_on=False)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "\n",
+ "plt.plot(trajtot[1],y[1], marker='o', markersize=7, label='40km', color=colors['40km'])\n",
+ "plt.plot(trajtot[2],y[2], marker='o', markersize=7, label='20km', color=colors['20km'])\n",
+ "plt.plot(trajtot[3],y[3], marker='o', markersize=7, label='10km', color=colors['10km'])\n",
+ "plt.plot(trajtot[4],y[4], marker='o', markersize=7, label='5km', color=colors['5km'])\n",
+ "plt.plot(trajtot[5],y[5], marker='o', markersize=7, label='2.5km', color=colors['2km'])\n",
+ "plt.plot(trajtotconvoff[0],y[6], marker='o', markerfacecolor='None', markersize=7, color=colors['10km'])\n",
+ "plt.plot(trajtotconvoff[1],y[7], marker='o', markerfacecolor='None', markersize=7, color=colors['5km'])\n",
+ "plt.plot(trajtotconvoff[2],y[8], marker='o', markerfacecolor='None', markersize=7, color=colors['2km'])\n",
+ "\n",
+ "leg = plt.legend(loc='best', bbox_to_anchor=(1,0.63), handlelength=0, markerscale=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ " \n",
+ "\n",
+ "# #########################################2m##########################################\n",
+ "\n",
+ "plt.plot(traj2mtot[0],y2m[0], marker='s', markersize=7, label='80km', color=colors['80km'],clip_on=False)\n",
+ "plt.plot(traj2mtot[1],y2m[1], marker='s', markersize=7, label='40km', color=colors['40km'])\n",
+ "plt.plot(traj2mtot[2],y2m[2], marker='s', markersize=7, label='20km', color=colors['20km'])\n",
+ "plt.plot(traj2mtot[3],y2m[3], marker='s', markersize=7, label='10km', color=colors['10km'])\n",
+ "plt.plot(traj2mtot[4],y2m[4], marker='s', markersize=7, label='5km', color=colors['5km'])\n",
+ "plt.plot(traj2mtot[5],y2m[5], marker='s', markersize=7, label='2.5km', color=colors['2km'])\n",
+ "plt.plot(traj2mtotconvoff[0],y2m[6], marker='s', markerfacecolor='None', markersize=7, color=colors['10km'])\n",
+ "plt.plot(traj2mtotconvoff[1],y2m[7], marker='s', markerfacecolor='None', markersize=7, color=colors['5km'])\n",
+ "plt.plot(traj2mtotconvoff[2],y2m[8], marker='s', markerfacecolor='None', markersize=7, color=colors['2km'])\n",
+ "\n",
+ "\n",
+ "plt.xticks(np.arange(9,18,2))\n",
+ "plt.xlim(9,17.1)\n",
+ "\n",
+ "plt.yticks(np.arange(6,11.1,1))\n",
+ "plt.ylim(6,11)\n",
+ "\n",
+ "axes = plt.gca()\n",
+ "axes.spines['right'].set_color('none')\n",
+ "axes.spines['top'].set_color('none')\n",
+ "axes.xaxis.set_ticks_position('bottom')\n",
+ "axes.spines['bottom'].set_position(('axes', -0.05))\n",
+ "axes.yaxis.set_ticks_position('left')\n",
+ "axes.spines['left'].set_position(('axes', -0.05))\n",
+ "axes.tick_params(axis='x', direction='out')\n",
+ "axes.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "plt.ylabel(\"Cyclone deepening (hPa 18h$^{-1}$)\", fontsize=10)\n",
+ "plt.xlabel(\"DHR$_{total}$ (K 18h$^{-1}$)\")\n",
+ "\n",
+ "\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Figure_11-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_11-checkpoint.ipynb
new file mode 100644
index 0000000..c8bc891
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_11-checkpoint.ipynb
@@ -0,0 +1,225 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.ticker as mticker\n",
+ "import pickle\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
+ "\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 936x648 with 8 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "###############################loading pte calculation files#####################\n",
+ "\n",
+ "path1='/pf/b/b380796/scratch/NAWDEX_Anubhav/0.8/1deg/1m/'\n",
+ "path2='/work/bb1018/b380723/pte/0.8/1m/'\n",
+ "\n",
+ "dp_dt=np.load(path1+'dp_dt.npy')\n",
+ "dfi_dt=np.load(path1+'dfi_dt.npy')\n",
+ "i_itt=np.load(path1+'i_itt.npy')\n",
+ "i_tadv=np.load(path1+'i_tadv.npy')\n",
+ "i_vmt=np.load(path1+'i_vmt.npy')\n",
+ "i_diab_res=np.load(path1+'i_diab_res.npy')\n",
+ "\n",
+ "ds=xr.open_dataset(path2+'basicvar_pl_1deg.nc')\n",
+ "mslp=xr.open_dataset(path2+'2dvar_1deg.nc')['pres_msl']\n",
+ "mslpsel=mslp.sel(time='2016-09-23T12:00:00').sel(lat=slice(50, 57), lon=slice(-30,-22))\n",
+ "mslp_coord =mslpsel.where(mslpsel==mslpsel.min(), drop=True)\n",
+ "\n",
+ "##########################converting numpy array to xarray###################\n",
+ "\n",
+ "time=ds.pres.time\n",
+ "lat=ds.pres.lat.values\n",
+ "lon=ds.pres.lon.values\n",
+ "dp_dt=xr.DataArray(dp_dt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "dfi_dt=xr.DataArray(dfi_dt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_itt=xr.DataArray(i_itt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_tadv=xr.DataArray(i_tadv, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_vmt=xr.DataArray(i_vmt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_diab_res=xr.DataArray(i_diab_res, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "\n",
+ "stp = 36\n",
+ "fig=plt.figure(figsize=(13,9))\n",
+ "plt.rcParams.update({'font.size': 14})\n",
+ "plt.subplots_adjust(hspace = 0.3, wspace=0)\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 1, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(dp_dt.lon,dp_dt.lat,dp_dt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('Dp')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 2, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(dfi_dt.lon,dfi_dt.lat,dfi_dt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('DΦ')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 3, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_itt.lon,i_itt.lat,i_itt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('ITT')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 4, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(dp_dt.lon,dp_dt.lat,(dp_dt[stp,:,:]- dfi_dt[stp,:,:]- i_itt[stp,:,:])/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('RES$_{PTE}$')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 5, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_tadv.lon,i_tadv.lat,i_tadv[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('TADV')\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 6, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_vmt.lon,i_vmt.lat,i_vmt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('VMT')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 7, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_diab_res.lon,i_diab_res.lat,i_diab_res[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "plt.title('DIAB$_{res}$')\n",
+ "\n",
+ "# colorbar\n",
+ "cbar_ax = fig.add_axes([0.82, 0.2, 0.02, 0.5]) # left,bottom,width,height\n",
+ "ticks=[-3. , -2.4, -1.8, -1.2, -0.6, 0. , 0.6, 1.2, 1.8, 2.4, 3. ]\n",
+ "cb = fig.colorbar(cd, cax=cbar_ax, ticks=ticks, orientation='vertical', extend='')\n",
+ "cb.set_label('hPa/h', fontsize=14, labelpad=5)\n",
+ "cb.ax.tick_params(labelsize=14)\n",
+ "fig.subplots_adjust(right=0.8, wspace=0.1, hspace=0.2)\n",
+ "\n",
+ "plt.show()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Figure_12-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_12-checkpoint.ipynb
new file mode 100644
index 0000000..80eb3ef
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_12-checkpoint.ipynb
@@ -0,0 +1,226 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.ticker as mticker\n",
+ "import pickle\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
+ "\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 936x648 with 8 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "###############################loading pte calculation files#####################\n",
+ "\n",
+ "path1='/pf/b/b380796/scratch/NAWDEX_Anubhav/0.025/1deg/1m/'\n",
+ "path2='/work/bb1018/b380723/pte/0.025convoff/1m/'\n",
+ "\n",
+ "dp_dt=np.load(path1+'dp_dt.npy')\n",
+ "dfi_dt=np.load(path1+'dfi_dt.npy')\n",
+ "i_itt=np.load(path1+'i_itt.npy')\n",
+ "i_tadv=np.load(path1+'i_tadv.npy')\n",
+ "i_vmt=np.load(path1+'i_vmt.npy')\n",
+ "i_diab_res=np.load(path1+'i_diab_res.npy')\n",
+ "\n",
+ "ds=xr.open_dataset(path2+'basicvar_pl_1deg.nc')\n",
+ "mslp=xr.open_dataset(path2+'2dvar_1deg.nc')['pres_msl']\n",
+ "mslpsel=mslp.sel(time='2016-09-23T12:00:00').sel(lat=slice(50, 57), lon=slice(-30,-22))\n",
+ "mslp_coord =mslpsel.where(mslpsel==mslpsel.min(), drop=True)\n",
+ "\n",
+ "##########################converting numpy array to xarray###################\n",
+ "\n",
+ "time=ds.pres.time\n",
+ "lat=ds.pres.lat.values\n",
+ "lon=ds.pres.lon.values\n",
+ "dp_dt=xr.DataArray(dp_dt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "dfi_dt=xr.DataArray(dfi_dt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_itt=xr.DataArray(i_itt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_tadv=xr.DataArray(i_tadv, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_vmt=xr.DataArray(i_vmt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_diab_res=xr.DataArray(i_diab_res, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "\n",
+ "stp = 36\n",
+ "fig=plt.figure(figsize=(13,9))\n",
+ "plt.rcParams.update({'font.size': 14})\n",
+ "plt.subplots_adjust(hspace = 0.3, wspace=0)\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 1, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(dp_dt.lon,dp_dt.lat,dp_dt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('Dp')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 2, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(dfi_dt.lon,dfi_dt.lat,dfi_dt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('DΦ')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 3, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_itt.lon,i_itt.lat,i_itt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('ITT')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 4, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(dp_dt.lon,dp_dt.lat,(dp_dt[stp,:,:]- dfi_dt[stp,:,:]- i_itt[stp,:,:])/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('RES$_{PTE}$')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 5, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_tadv.lon,i_tadv.lat,i_tadv[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('TADV')\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 6, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_vmt.lon,i_vmt.lat,i_vmt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('VMT')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 7, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_diab_res.lon,i_diab_res.lat,i_diab_res[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "plt.title('DIAB$_{res}$')\n",
+ "\n",
+ "# colorbar\n",
+ "cbar_ax = fig.add_axes([0.82, 0.2, 0.02, 0.5]) # left,bottom,width,height\n",
+ "ticks=[-3. , -2.4, -1.8, -1.2, -0.6, 0. , 0.6, 1.2, 1.8, 2.4, 3. ]\n",
+ "cb = fig.colorbar(cd, cax=cbar_ax, ticks=ticks, orientation='vertical', extend='')\n",
+ "cb.set_label('hPa/h', fontsize=14, labelpad=5)\n",
+ "cb.ax.tick_params(labelsize=14)\n",
+ "fig.subplots_adjust(right=0.8, wspace=0.1, hspace=0.2)\n",
+ "\n",
+ "\n",
+ "plt.show()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Figure_13-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_13-checkpoint.ipynb
new file mode 100644
index 0000000..e320a6f
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_13-checkpoint.ipynb
@@ -0,0 +1,280 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.ticker as mticker\n",
+ "import pickle\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
+ "\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#loading cyclone track coordinates\n",
+ "coord=np.load('/work/bb1018/b380723/figures/large_scale/coord_1m.npy')\n",
+ "\n",
+ "#loading cyclone mslp\n",
+ "path='/mnt/lustre01/pf/b/b380459/wcb-vladiana/'\n",
+ "pres1=xr.open_dataset(path+'nawdexnwp-80km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres2=xr.open_dataset(path+'nawdexnwp-40km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres3=xr.open_dataset(path+'nawdexnwp-20km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres4=xr.open_dataset(path+'nawdexnwp-10km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres5=xr.open_dataset(path+'nawdexnwp-5km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres6=xr.open_dataset(path+'nawdexnwp-2km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres7=xr.open_dataset(path+'nawdexnwp-10km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres8=xr.open_dataset(path+'nawdexnwp-5km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres9=xr.open_dataset(path+'nawdexnwp-2km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 576x1152 with 3 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "###############################loading pte calculation files#####################\n",
+ "\n",
+ "path1='/pf/b/b380796/scratch/NAWDEX_Anubhav/0.025/1deg/1m/'\n",
+ "path2='/work/bb1018/b380723/pte/0.025convoff/1m/'\n",
+ "\n",
+ "dp_dt=np.load(path1+'dp_dt.npy')\n",
+ "dfi_dt=np.load(path1+'dfi_dt.npy')\n",
+ "i_itt=np.load(path1+'i_itt.npy')\n",
+ "i_tadv=np.load(path1+'i_tadv.npy')\n",
+ "i_vmt=np.load(path1+'i_vmt.npy')\n",
+ "i_diab_res=np.load(path1+'i_diab_res.npy')\n",
+ "\n",
+ "ds=xr.open_dataset(path2+'basicvar_pl_1deg.nc')\n",
+ "\n",
+ "\n",
+ "##########################converting numpy array to xarray###################\n",
+ "\n",
+ "time=ds.pres.time\n",
+ "lat=ds.pres.lat.values\n",
+ "lon=ds.pres.lon.values\n",
+ "dp_dt=xr.DataArray(dp_dt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "dfi_dt=xr.DataArray(dfi_dt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_itt=xr.DataArray(i_itt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_tadv=xr.DataArray(i_tadv, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_vmt=xr.DataArray(i_vmt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_diab_res=xr.DataArray(i_diab_res, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "\n",
+ "#i_itt.to_netcdf('i_itt.nc')\n",
+ "\n",
+ "#Another method to convert the numpy array to xarray\n",
+ "# a=ds\n",
+ "# a['pres'].values=i_itt\n",
+ "# ds['i_itt']=a['pres']\n",
+ "\n",
+ "######Cyclone centre location###########################\n",
+ "\n",
+ "x=coord[2][0]\n",
+ "y=coord[2][1]\n",
+ "\n",
+ "################for 2(or 4) by 2(or 4) degree box##############\n",
+ "xplus=np.array(x)+1\n",
+ "xminus=np.array(x)-1\n",
+ "yplus=np.array(y)+1\n",
+ "yminus=np.array(y)-1\n",
+ "#######################################################\n",
+ "\n",
+ "#########################calculating weighted mean over cyclone box##################################\n",
+ "\n",
+ "weights = np.zeros((lat.size, lon.size)) + np.expand_dims(np.cos(np.deg2rad(lat)), axis=1)\n",
+ "weights = xr.DataArray(weights, coords={'lat':lat, 'lon':lon}, dims=['lat', 'lon'])\n",
+ "weights.name = \"weights\"\n",
+ "\n",
+ "#tim = i_itt.sel(time=slice(\"2016-09-22T12:00:00\",\"2016-09-24T12:00:00\")).time[0::2]\n",
+ "tim = i_itt.sel(time=slice(\"2016-09-22T12:00:00\",\"2016-09-24T12:00:00\")).time\n",
+ "\n",
+ "\n",
+ "dp_dt_sel=np.full(len(tim), np.nan)\n",
+ "dfi_dt_sel=np.full(len(tim), np.nan)\n",
+ "i_itt_sel=np.full(len(tim), np.nan)\n",
+ "i_tadv_sel=np.full(len(tim), np.nan)\n",
+ "i_vmt_sel=np.full(len(tim), np.nan)\n",
+ "i_diab_res_sel=np.full(len(tim), np.nan)\n",
+ "\n",
+ "\n",
+ "for j in range(0,len(tim),1):\n",
+ " dp_dt_sel[j]=dp_dt.sel(time=tim[j]).sel(lat=slice(yminus[j],yplus[j]), lon=slice(xminus[j],xplus[j])).weighted(weights).mean(('lat','lon'))\n",
+ "for j in range(0,len(tim),1):\n",
+ " dfi_dt_sel[j]=dfi_dt.sel(time=tim[j]).sel(lat=slice(yminus[j],yplus[j]), lon=slice(xminus[j],xplus[j])).weighted(weights).mean(('lat','lon'))\n",
+ "for j in range(0,len(tim),1):\n",
+ " i_itt_sel[j]=i_itt.sel(time=tim[j]).sel(lat=slice(yminus[j],yplus[j]), lon=slice(xminus[j],xplus[j])).weighted(weights).mean(('lat','lon'))\n",
+ "for j in range(0,len(tim),1):\n",
+ " i_tadv_sel[j]=i_tadv.sel(time=tim[j]).sel(lat=slice(yminus[j],yplus[j]), lon=slice(xminus[j],xplus[j])).weighted(weights).mean(('lat','lon'))\n",
+ "for j in range(0,len(tim),1):\n",
+ " i_vmt_sel[j]=i_vmt.sel(time=tim[j]).sel(lat=slice(yminus[j],yplus[j]), lon=slice(xminus[j],xplus[j])).weighted(weights).mean(('lat','lon'))\n",
+ "for j in range(0,len(tim),1):\n",
+ " i_diab_res_sel[j]=i_diab_res.sel(time=tim[j]).sel(lat=slice(yminus[j],yplus[j]), lon=slice(xminus[j],xplus[j])).weighted(weights).mean(('lat','lon'))\n",
+ "\n",
+ "#######################Plotting#############################################\n",
+ "\n",
+ "plt.figure(figsize=(8,16))\n",
+ "plt.rcParams.update({'font.size': 16})\n",
+ "plt.subplots_adjust(hspace = 0.3, wspace=0.5)\n",
+ "\n",
+ "width = 0.5\n",
+ "\n",
+ "data = np.array([dfi_dt_sel/100, i_itt_sel/100])\n",
+ "\n",
+ "data_shape = np.shape(data)\n",
+ "\n",
+ "# Take negative and positive data apart and cumulate\n",
+ "def get_cumulated_array(data, **kwargs):\n",
+ " cum = data.clip(**kwargs)\n",
+ " cum = np.cumsum(cum, axis=0)\n",
+ " d = np.zeros(np.shape(data))\n",
+ " d[1:] = cum[:-1]\n",
+ " return d \n",
+ "\n",
+ "cumulated_data = get_cumulated_array(data, min=0)\n",
+ "cumulated_data_neg = get_cumulated_array(data, max=0)\n",
+ "\n",
+ "# Re-merge negative and positive data.\n",
+ "row_mask = (data<0)\n",
+ "cumulated_data[row_mask] = cumulated_data_neg[row_mask]\n",
+ "data_stack = cumulated_data\n",
+ "\n",
+ "\n",
+ "cols = [\"forestgreen\", \"brown\"]\n",
+ "\n",
+ "ax = plt.subplot(311)\n",
+ "ax.plot(np.arange(0,49,1), dp_dt_sel/100, color='black')\n",
+ "\n",
+ "for i in np.arange(0, data_shape[0]):\n",
+ " ax.bar(np.arange(0,49,1), data[i], bottom=data_stack[i], width=0.5,color=cols[i],)\n",
+ "\n",
+ "ax.set_ylabel('hPa h$^{-1}$')\n",
+ "ax.set_title('Dp/dt terms')\n",
+ "#ax.set_xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))\n",
+ "#ax.set_yticks(np.arange(0, 81, 10))\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['bottom'].set_position('zero')\n",
+ "ax.tick_params(axis=\"x\", pad=70, labelbottom=False)\n",
+ "ax.legend(labels=['Dp', 'Dφ','ITT'], fontsize=12)\n",
+ "plt.xticks(rotation=45,ha='right')\n",
+ "plt.yticks(np.arange(-1.5,1.1,0.5))\n",
+ "plt.ylim(-1.5,1.1)\n",
+ "\n",
+ "\n",
+ "data = np.array([i_tadv_sel/100, i_vmt_sel/100, i_diab_res_sel/100])\n",
+ "\n",
+ "data_shape = np.shape(data)\n",
+ "\n",
+ "# Take negative and positive data apart and cumulate\n",
+ "def get_cumulated_array(data, **kwargs):\n",
+ " cum = data.clip(**kwargs)\n",
+ " cum = np.cumsum(cum, axis=0)\n",
+ " d = np.zeros(np.shape(data))\n",
+ " d[1:] = cum[:-1]\n",
+ " return d \n",
+ "\n",
+ "cumulated_data = get_cumulated_array(data, min=0)\n",
+ "cumulated_data_neg = get_cumulated_array(data, max=0)\n",
+ "\n",
+ "# Re-merge negative and positive data.\n",
+ "row_mask = (data<0)\n",
+ "cumulated_data[row_mask] = cumulated_data_neg[row_mask]\n",
+ "data_stack = cumulated_data\n",
+ "\n",
+ "\n",
+ "cols = [\"red\", \"blue\", \"green\"]\n",
+ "\n",
+ "ax = plt.subplot(312)\n",
+ "ax.plot(np.arange(0,49,1), i_itt_sel/100, color='black')\n",
+ "\n",
+ "for i in np.arange(0, data_shape[0]):\n",
+ " ax.bar(np.arange(0,49,1), data[i], bottom=data_stack[i], width=0.5,color=cols[i],)\n",
+ "\n",
+ "ax.set_ylabel('hPa h$^{-1}$')\n",
+ "ax.set_title('ITT terms')\n",
+ "#ax.set_xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))\n",
+ "#ax.set_yticks(np.arange(0, 81, 10))\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['bottom'].set_position('zero')\n",
+ "ax.tick_params(axis=\"x\", pad=70, labelbottom=False)\n",
+ "ax.legend(labels=['ITT', 'TADV','VMT','DIAB$_{res}$'], fontsize=12)\n",
+ "plt.xticks(rotation=45,ha='right')\n",
+ "plt.yticks(np.arange(-3,3.1,1))\n",
+ "plt.ylim(-3.4,3)\n",
+ "\n",
+ "\n",
+ "ax=plt.subplot(313)\n",
+ "ax.plot(pres6.pres_msl_min_filtered/100)\n",
+ "#plt.xticks(rotation=45,ha='right')\n",
+ "plt.yticks(np.arange(976,995.1,3))\n",
+ "plt.ylim(976,995)\n",
+ "plt.xticks(np.arange(0,48.1,6))\n",
+ "ax.tick_params(axis=\"x\", pad=10, labelbottom=True)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "\n",
+ "ax.set_ylabel(\"cyclone mslp (hPa)\")\n",
+ "#ax.set_xlabel(\"\")\n",
+ "ax.set_title('mslp evolution')\n",
+ "\n",
+ "\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Figure_14-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_14-checkpoint.ipynb
new file mode 100644
index 0000000..a96edc1
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_14-checkpoint.ipynb
@@ -0,0 +1,149 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.ticker as mticker\n",
+ "import pickle\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
+ "\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Loading file containing values for each resolution, of 'area averaged' time series of pte terms around cyclone centre: dp_dt_sel/100, dfi_dt_sel/100, i_itt_sel/100, i_tadv_sel/100, i_vmt_sel/100 and i_diab_res_sel/100 (in hPa)\n",
+ "#See the pte time series script for calculation of these terms for each resolution\n",
+ "\n",
+ "pte=np.load('/work/bb1018/b380723/pte/0.8/1m/pte_2deg_1m.npy')\n",
+ "\n",
+ "dP_dt=[pte[0][0,10:22].mean(),pte[1][0,10:22].mean(),pte[2][0,10:22].mean(),pte[3][0,10:22].mean(),pte[4][0,10:22].mean(),pte[5][0,10:22].mean(),pte[6][0,10:22].mean(),pte[7][0,10:22].mean(),pte[8][0,10:22].mean()]\n",
+ "dfi_dt=[pte[0][1,10:22].mean(),pte[1][1,10:22].mean(),pte[2][1,10:22].mean(),pte[3][1,10:22].mean(),pte[4][1,10:22].mean(),pte[5][1,10:22].mean(),pte[6][1,10:22].mean(),pte[7][1,10:22].mean(),pte[8][1,10:22].mean()]\n",
+ "ITT=[pte[0][2,10:22].mean(),pte[1][2,10:22].mean(),pte[2][2,10:22].mean(),pte[3][2,10:22].mean(),pte[4][2,10:22].mean(),pte[5][2,10:22].mean(),pte[6][2,10:22].mean(),pte[7][2,10:22].mean(),pte[8][2,10:22].mean()]\n",
+ "TADV=[pte[0][3,10:22].mean(),pte[1][3,10:22].mean(),pte[2][3,10:22].mean(),pte[3][3,10:22].mean(),pte[4][3,10:22].mean(),pte[5][3,10:22].mean(),pte[6][3,10:22].mean(),pte[7][3,10:22].mean(),pte[8][3,10:22].mean()]\n",
+ "VMT=[pte[0][4,10:22].mean(),pte[1][4,10:22].mean(),pte[2][4,10:22].mean(),pte[3][4,10:22].mean(),pte[4][4,10:22].mean(),pte[5][4,10:22].mean(),pte[6][4,10:22].mean(),pte[7][4,10:22].mean(),pte[8][4,10:22].mean()]\n",
+ "DIAB_res=[pte[0][5,10:22].mean(),pte[1][5,10:22].mean(),pte[2][5,10:22].mean(),pte[3][5,10:22].mean(),pte[4][5,10:22].mean(),pte[5][5,10:22].mean(),pte[6][5,10:22].mean(),pte[7][5,10:22].mean(),pte[8][5,10:22].mean()]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x460.8 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from pylab import figure, show, legend, ylabel\n",
+ "\n",
+ "fig=plt.figure(figsize=(6,6.4))\n",
+ "plt.rcParams.update({'font.size': 20})\n",
+ "\n",
+ "x1=['80','40','20','10','5','2.5'] \n",
+ "\n",
+ "ax1 = fig.add_subplot(111)\n",
+ "\n",
+ "ax1.plot(x1,dP_dt[:6], linewidth=0, marker='o', markersize=8, color='black', clip_on=False)\n",
+ "ax1.plot(x1[3:6],dP_dt[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='black', clip_on=False)\n",
+ "\n",
+ "ax1.plot(x1,dfi_dt[:6], linewidth=0, marker='o', markersize=8, color='#469990', clip_on=False)\n",
+ "ax1.plot(x1[3:6],dfi_dt[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#469990', clip_on=False)\n",
+ "\n",
+ "ax1.plot(x1,ITT[:6], linewidth=0, marker='o', markersize=8, color='brown', clip_on=False)\n",
+ "ax1.plot(x1[3:6],ITT[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='brown', clip_on=False)\n",
+ "\n",
+ "ax1.plot(x1,TADV[:6], linewidth=0, marker='o', markersize=8, color='red', clip_on=False)\n",
+ "ax1.plot(x1[3:6],TADV[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='red', clip_on=False)\n",
+ "\n",
+ "ax1.plot(x1,VMT[:6], linewidth=0, marker='o', markersize=8, color='#4363d8', clip_on=False)\n",
+ "ax1.plot(x1[3:6],VMT[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#4363d8', clip_on=False)\n",
+ "\n",
+ "ax1.plot(x1,DIAB_res[:6], linewidth=0, marker='o', markersize=8, color='green', clip_on=False)\n",
+ "ax1.plot(x1[3:6],DIAB_res[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='green', clip_on=False)\n",
+ "\n",
+ "\n",
+ "ax1.spines['top'].set_visible(False)\n",
+ "ax1.spines['right'].set_visible(False)\n",
+ "ax1.xaxis.set_ticks_position('bottom')\n",
+ "ax1.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax1.yaxis.set_ticks_position('left')\n",
+ "ax1.spines['left'].set_position(('axes', -0.05))\n",
+ "ax1.tick_params(axis='x', direction='out')\n",
+ "ax1.tick_params(axis='y', direction='out')\n",
+ "plt.xlim('80', '2.5')\n",
+ "ax1.set_xlabel(\"Resolution (km)\")\n",
+ "ax1.set_ylabel(\"hPa / hour\")\n",
+ "\n",
+ "##########################################for plotting legend###################################\n",
+ "\n",
+ "ax1.plot(x1,dP_dt[:6], label='Dp', linewidth=0, marker='o', markersize=0, color='black', clip_on=False)\n",
+ "ax1.plot(x1,dfi_dt[:6], label='Dφ', linewidth=0, marker='o', markersize=0, color='#469990', clip_on=False)\n",
+ "ax1.plot(x1,ITT[:6], label='ITT', linewidth=0, marker='o', markersize=0, color='brown', clip_on=False)\n",
+ "ax1.plot(x1,TADV[:6], label='TADV', linewidth=0, marker='o', markersize=0, color='red', clip_on=False)\n",
+ "ax1.plot(x1,VMT[:6], label='VMT', linewidth=0, marker='o', markersize=0, color='#4363d8', clip_on=False)\n",
+ "ax1.plot(x1,DIAB_res[:6], label='DIAB$_{res}$', linewidth=0, marker='o', markersize=0, color='green', clip_on=False)\n",
+ "\n",
+ "\n",
+ "leg = plt.legend(loc='best', bbox_to_anchor=(1, 0.45), handlelength=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ "\n",
+ "plt.axhline(y=0, color='dimgray', linestyle='-.')\n",
+ "plt.ylim(-1.8,1.8)\n",
+ "\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Figure_2-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_2-checkpoint.ipynb
new file mode 100755
index 0000000..a68cbcd
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_2-checkpoint.ipynb
@@ -0,0 +1,161 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 80,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load packages\n",
+ "import sys\n",
+ "sys.path.append('/pf/b/b380723/anaconda3/lib/python3.6/site-packages')\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
+ "from lagranto import Tra\n",
+ "from lagranto.plotting import plot_trajs\n",
+ "import matplotlib\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.ticker as mticker\n",
+ "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
+ "import xarray as xr\n",
+ "import numpy as np"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 81,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#loading datasets\n",
+ "\n",
+ "path = '/work/bb1018/b380723'\n",
+ "moments=(['1m','2m'])\n",
+ "resolutions=['0.8','0.4','0.2','0.1convon','0.05convon','0.025convon','0.1convoff','0.05convoff','0.025convoff']\n",
+ "\n",
+ "#all trajectories\n",
+ "alltrajectory=[]\n",
+ "for moment in moments[:-1]:\n",
+ " for resolution in resolutions:\n",
+ " alltrajectory.append(xr.open_dataset(path+'/'+resolution+'/'+moment+'/'+'outtrace1.nc'))\n",
+ "\n",
+ "#subclasses\n",
+ "subclass1=[]\n",
+ "subclass2=[]\n",
+ "subclass3=[]\n",
+ "subclass4=[]\n",
+ "for moment in moments[:-1]:\n",
+ " for i in range(0,9):\n",
+ " subclass1.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box1.nc'))\n",
+ " subclass2.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box2.nc'))\n",
+ " subclass3.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box3.nc'))\n",
+ " subclass4.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box4.nc'))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 82,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 792x504 with 10 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "## plot equivalent potential temperature and isentropic potential vorticity at 24h interval\n",
+ "\n",
+ "#setting map\n",
+ "proj = ccrs.PlateCarree()\n",
+ "fig, ax = plt.subplots(3, 3, figsize=(11,7), subplot_kw=dict(projection=proj))\n",
+ "ax = ax.reshape(-1)\n",
+ "for i in range(ax.shape[0]):\n",
+ " ax[i].coastlines(rasterized=True)\n",
+ " ax[i].set_aspect('auto')\n",
+ " ax[i].tick_params(labelsize=13)\n",
+ " ax[i].set_extent([-50, 30, 30, 80], ccrs.PlateCarree())\n",
+ " \n",
+ " # set xticks and yticks for latitudes and longitudes\n",
+ " # xaxis: longitudes\n",
+ " if i in [6,7,8]:\n",
+ " ax[i].set_xticks([-40,-20,0,20], crs=ccrs.PlateCarree())\n",
+ " lon_formatter = LongitudeFormatter(#zero_direction_label=True,\n",
+ " degree_symbol='',\n",
+ " dateline_direction_label=True)\n",
+ " ax[i].xaxis.set_major_formatter(lon_formatter)\n",
+ " del lon_formatter\n",
+ " # yaxis: latitudes\n",
+ " if i in [0, 3, 6]:\n",
+ " ax[i].set_yticks([40,60,80], crs=ccrs.PlateCarree())\n",
+ " lat_formatter = LatitudeFormatter(degree_symbol='')\n",
+ " ax[i].yaxis.set_major_formatter(lat_formatter)\n",
+ " del lat_formatter\n",
+ "\n",
+ "#plotting\n",
+ "trajs=[]\n",
+ "for i in range(0,9):\n",
+ " trajs.append('trajs'+str(i))\n",
+ "\n",
+ "for moment in moments[:-1]:\n",
+ " for i in range(0,9):\n",
+ " trajs[i]=Tra()\n",
+ " trajs[i].load_netcdf(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1.nc')\n",
+ " lc=plot_trajs(ax[i], trajs[i], 'P', levels=np.arange(200, 1000, 100), rasterized=False)\n",
+ " \n",
+ "#plotting mean value over all trajectories and subclasses\n",
+ "for i in range(0,9):\n",
+ " ax[i].plot(alltrajectory[i]['lon'].mean(axis=1),alltrajectory[i]['lat'].mean(axis=1),linewidth=3,color='black')\n",
+ " ax[i].plot(subclass1[i]['lon'].mean(axis=1),subclass1[i]['lat'].mean(axis=1),linewidth=3,color='blue')\n",
+ " ax[i].plot(subclass2[i]['lon'].mean(axis=1),subclass2[i]['lat'].mean(axis=1),linewidth=3,color='springgreen')\n",
+ " ax[i].plot(subclass3[i]['lon'].mean(axis=1),subclass3[i]['lat'].mean(axis=1),linewidth=3,color='yellow')\n",
+ "#separate loop because 80km does not have subclass-4\n",
+ "for i in range(1,9):\n",
+ " ax[i].plot(subclass4[i]['lon'].mean(axis=1),subclass4[i]['lat'].mean(axis=1),linewidth=3,color='fuchsia')\n",
+ "\n",
+ "#title\n",
+ "for i in range(0,9):\n",
+ " title = ['(a) 80km ','(b) 40km ','(c) 20km ','(d) 10km ','(e) 5km ','(f) 2.5km ','(g) 10km EC ','(h) 5km EC ', '(i) 2.5km EC ']\n",
+ " ax[i].set_title(title[i] + '('+str(len(alltrajectory[i].ntra))+')', loc='left')\n",
+ "\n",
+ "#colorbar\n",
+ "cbar_ax = fig.add_axes([0.85, 0.2, 0.02, 0.65])\n",
+ "clb=fig.colorbar(lc, cax=cbar_ax, orientation='vertical',fraction=0.046, pad=0.04, ticks= [200,300,400,500,600,700,800,900,1000])\n",
+ "clb.set_label('(hPa)')\n",
+ "fig.subplots_adjust(right=0.8, wspace=0.1, hspace=0.3)\n",
+ "\n",
+ "plt.show(fig)\n",
+ "plt.close(fig)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Figure_3-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_3-checkpoint.ipynb
new file mode 100755
index 0000000..b2da10a
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_3-checkpoint.ipynb
@@ -0,0 +1,162 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load packages\n",
+ "import sys\n",
+ "sys.path.append('/pf/b/b380723/anaconda3/lib/python3.6/site-packages')\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
+ "from lagranto import Tra\n",
+ "from lagranto.plotting import plot_trajs\n",
+ "import matplotlib\n",
+ "#matplotlib.use('Agg')\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.ticker as mticker\n",
+ "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
+ "import xarray as xr\n",
+ "import numpy as np"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#loading datasets\n",
+ "\n",
+ "path = '/work/bb1018/b380723'\n",
+ "moments=(['1m','2m'])\n",
+ "resolutions=['0.8','0.4','0.2','0.1convon','0.05convon','0.025convon','0.1convoff','0.05convoff','0.025convoff']\n",
+ "\n",
+ "#all trajectories\n",
+ "alltrajectory=[]\n",
+ "for moment in moments[1:]:\n",
+ " for resolution in resolutions:\n",
+ " alltrajectory.append(xr.open_dataset(path+'/'+resolution+'/'+moment+'/'+'outtrace1.nc'))\n",
+ "\n",
+ "#subclasses\n",
+ "subclass1=[]\n",
+ "subclass2=[]\n",
+ "subclass3=[]\n",
+ "subclass4=[]\n",
+ "for moment in moments[:-1]:\n",
+ " for i in range(0,9):\n",
+ " subclass1.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box1.nc'))\n",
+ " subclass2.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box2.nc'))\n",
+ " subclass3.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box3.nc'))\n",
+ " subclass4.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box4.nc'))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 792x504 with 10 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "## plot equivalent potential temperature and isentropic potential vorticity at 24h interval\n",
+ "\n",
+ "#setting map\n",
+ "proj = ccrs.PlateCarree()\n",
+ "fig, ax = plt.subplots(3, 3, figsize=(11,7), subplot_kw=dict(projection=proj))\n",
+ "ax = ax.reshape(-1)\n",
+ "for i in range(ax.shape[0]):\n",
+ " ax[i].coastlines(rasterized=True)\n",
+ " ax[i].set_aspect('auto')\n",
+ " ax[i].tick_params(labelsize=13)\n",
+ " ax[i].set_extent([-50, 30, 30, 80], ccrs.PlateCarree())\n",
+ " \n",
+ " # set xticks and yticks for latitudes and longitudes\n",
+ " # xaxis: longitudes\n",
+ " if i in [6,7,8]:\n",
+ " ax[i].set_xticks([-40,-20,0,20], crs=ccrs.PlateCarree())\n",
+ " lon_formatter = LongitudeFormatter(#zero_direction_label=True,\n",
+ " degree_symbol='',\n",
+ " dateline_direction_label=True)\n",
+ " ax[i].xaxis.set_major_formatter(lon_formatter)\n",
+ " del lon_formatter\n",
+ " # yaxis: latitudes\n",
+ " if i in [0, 3, 6]:\n",
+ " ax[i].set_yticks([40,60,80], crs=ccrs.PlateCarree())\n",
+ " lat_formatter = LatitudeFormatter(degree_symbol='')\n",
+ " ax[i].yaxis.set_major_formatter(lat_formatter)\n",
+ " del lat_formatter\n",
+ "\n",
+ "#plotting\n",
+ "trajs=[]\n",
+ "for i in range(0,9):\n",
+ " trajs.append('trajs'+str(i))\n",
+ "\n",
+ "for moment in moments[:-1]:\n",
+ " for i in range(0,9):\n",
+ " trajs[i]=Tra()\n",
+ " trajs[i].load_netcdf(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1.nc')\n",
+ " lc=plot_trajs(ax[i], trajs[i], 'P', levels=np.arange(200, 1000, 100), rasterized=False)\n",
+ " \n",
+ "#plotting mean value over all trajectories and subclasses\n",
+ "for i in range(0,9):\n",
+ " ax[i].plot(alltrajectory[i]['lon'].mean(axis=1),alltrajectory[i]['lat'].mean(axis=1),linewidth=3,color='black')\n",
+ " ax[i].plot(subclass1[i]['lon'].mean(axis=1),subclass1[i]['lat'].mean(axis=1),linewidth=3,color='blue')\n",
+ " ax[i].plot(subclass2[i]['lon'].mean(axis=1),subclass2[i]['lat'].mean(axis=1),linewidth=3,color='springgreen')\n",
+ " ax[i].plot(subclass3[i]['lon'].mean(axis=1),subclass3[i]['lat'].mean(axis=1),linewidth=3,color='yellow')\n",
+ "#separate loop because 80km does not have subclass-4\n",
+ "for i in range(1,9):\n",
+ " ax[i].plot(subclass4[i]['lon'].mean(axis=1),subclass4[i]['lat'].mean(axis=1),linewidth=3,color='fuchsia')\n",
+ "\n",
+ "#title\n",
+ "for i in range(0,9):\n",
+ " title = ['(a) 80km ','(b) 40km ','(c) 20km ','(d) 10km ','(e) 5km ','(f) 2.5km ','(g) 10km EC ','(h) 5km EC ', '(i) 2.5km EC ']\n",
+ " ax[i].set_title(title[i] + '('+str(len(alltrajectory[i].ntra))+')', loc='left')\n",
+ "\n",
+ "#colorbar\n",
+ "cbar_ax = fig.add_axes([0.85, 0.2, 0.02, 0.65])\n",
+ "clb=fig.colorbar(lc, cax=cbar_ax, orientation='vertical',fraction=0.046, pad=0.04, ticks= [200,300,400,500,600,700,800,900,1000])\n",
+ "clb.set_label('(hPa)')\n",
+ "fig.subplots_adjust(right=0.8, wspace=0.1, hspace=0.3)\n",
+ "\n",
+ "plt.show(fig)\n",
+ "plt.close(fig)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Figure_4-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_4-checkpoint.ipynb
new file mode 100755
index 0000000..54ee13e
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_4-checkpoint.ipynb
@@ -0,0 +1,222 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load packages\n",
+ "import sys\n",
+ "sys.path.append('/pf/b/b380723/anaconda3/lib/python3.6/site-packages')\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
+ "from lagranto import Tra\n",
+ "from lagranto.plotting import plot_trajs\n",
+ "import matplotlib\n",
+ "#matplotlib.use('Agg')\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.ticker as mticker\n",
+ "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
+ "import xarray as xr\n",
+ "import numpy as np"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#loading datasets\n",
+ "\n",
+ "path = '/work/bb1018/b380723'\n",
+ "moments=(['1m','2m'])\n",
+ "resolutions=['0.8','0.4','0.2','0.1convon','0.05convon','0.025convon','0.1convoff','0.05convoff','0.025convoff']\n",
+ "\n",
+ "#all trajectories\n",
+ "alltrajectory=[]\n",
+ "for moment in moments[1:]:\n",
+ " for resolution in resolutions:\n",
+ " alltrajectory.append(xr.open_dataset(path+'/'+resolution+'/'+moment+'/'+'outtrace1.nc'))\n",
+ "\n",
+ "#subclasses\n",
+ "subclass1=[]\n",
+ "subclass2=[]\n",
+ "subclass3=[]\n",
+ "subclass4=[]\n",
+ "for moment in moments[:-1]:\n",
+ " for i in range(0,9):\n",
+ " subclass1.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box1.nc'))\n",
+ " subclass2.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box2.nc'))\n",
+ " subclass3.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box3.nc'))\n",
+ " subclass4.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box4.nc'))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 936x144 with 4 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "## plot equivalent potential temperature and isentropic potential vorticity at 24h interval\n",
+ "\n",
+ "#setting map\n",
+ "proj = ccrs.PlateCarree()\n",
+ "fig, ax = plt.subplots(1, 4, figsize=(13,2), subplot_kw=dict(projection=proj))\n",
+ "ax = ax.reshape(-1)\n",
+ "for i in range(ax.shape[0]):\n",
+ " ax[i].coastlines(rasterized=True)\n",
+ " ax[i].set_aspect('auto')\n",
+ " ax[i].tick_params(labelsize=13)\n",
+ " ax[i].set_extent([-50, 30, 30, 80], ccrs.PlateCarree())\n",
+ " \n",
+ " # set xticks and yticks for latitudes and longitudes\n",
+ " # xaxis: longitudes\n",
+ " if i in [0,1,2,3]:\n",
+ " ax[i].set_xticks([-40,-20,0,20], crs=ccrs.PlateCarree())\n",
+ " lon_formatter = LongitudeFormatter(#zero_direction_label=True,\n",
+ " degree_symbol='',\n",
+ " dateline_direction_label=True)\n",
+ " ax[i].xaxis.set_major_formatter(lon_formatter)\n",
+ " del lon_formatter\n",
+ " # yaxis: latitudes\n",
+ " if i in [0]:\n",
+ " ax[i].set_yticks([40,60,80], crs=ccrs.PlateCarree())\n",
+ " lat_formatter = LatitudeFormatter(degree_symbol='')\n",
+ " ax[i].yaxis.set_major_formatter(lat_formatter)\n",
+ " del lat_formatter\n",
+ "\n",
+ "#plotting\n",
+ "\n",
+ "subclass1=[]\n",
+ "subclass2=[]\n",
+ "subclass3=[]\n",
+ "subclass4=[]\n",
+ "\n",
+ "subclass=[]\n",
+ "for i in range(0,4):\n",
+ " subclass.append('subclass'+str(i))\n",
+ "\n",
+ "for moment in moments[:-1]:\n",
+ " for i in range(0,4):\n",
+ " subclass[i]=Tra()\n",
+ " subclass[i].load_netcdf(path+'/'+resolutions[8]+'/'+moment+'/'+'outtrace1box'+str(i+1)+'.nc')\n",
+ " lc=plot_trajs(ax[i], subclass[i], 'P', levels=np.arange(200, 1000, 100), rasterized=False)\n",
+ " \n",
+ "#title\n",
+ "for i in range(0,4):\n",
+ " title = ['Trajectory 1 ', 'Trajectory 2 ', 'Trajectory 3 ', 'Trajectory 4 ']\n",
+ " ax[i].set_title(title[i] + '('+str(subclass[i].ntra)+')', loc='left')\n",
+ "\n",
+ "plt.show(fig)\n",
+ "plt.close(fig)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 936x648 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "fig=plt.figure(figsize=(13,9))\n",
+ "plt.rcParams.update({'font.size': 11})\n",
+ "plt.subplots_adjust(hspace = 0.3, wspace=0.1)\n",
+ "\n",
+ "ax = plt.subplot(1,4,1, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0,20], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ','0'])\n",
+ "ax.set_yticks([40,60,80], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N','80N'])\n",
+ "ax.set_extent([-50, 30, 30, 80])\n",
+ "ax.coastlines()\n",
+ "\n",
+ "for moment in moments[:-1]:\n",
+ " trajs = Tra()\n",
+ " trajs.load_netcdf(path+'/'+resolutions[8]+'/'+moment+'/'+'outtrace1.nc')\n",
+ " lc=plot_trajs(ax, trajs, 'P', levels=np.arange(200, 1000, 100), rasterized=False)\n",
+ "plt.title('2.5km EC ('+str(len(alltrajectory[8].ntra))+')', loc='left')\n",
+ "\n",
+ "x = [-35, -6, -6, -35, -35]\n",
+ "y = [58, 58, 80, 80, 58]\n",
+ "ax.plot(x, y, transform=ccrs.PlateCarree(), color='black')\n",
+ "\n",
+ "x = [-6, 30, 30, -6, -6]\n",
+ "y = [58, 58, 80, 80, 58]\n",
+ "ax.plot(x, y, transform=ccrs.PlateCarree(), color='black')\n",
+ "\n",
+ "x = [5, 30, 30, 5, 5]\n",
+ "y = [45, 45, 58, 58, 45]\n",
+ "ax.plot(x, y, transform=ccrs.PlateCarree(), color='black')\n",
+ "\n",
+ "x = [-15, 5, 5, -15, -15]\n",
+ "y = [30, 30, 50, 50, 30]\n",
+ "ax.plot(x, y, transform=ccrs.PlateCarree(), color='black')\n",
+ "\n",
+ "#colorbar\n",
+ "# cbar_ax = fig.add_axes([0.85, 0.2, 0.02, 0.65])\n",
+ "# clb=fig.colorbar(lc, cax=cbar_ax, orientation='vertical',fraction=0.046, pad=0.04, ticks= [200,300,400,500,600,700,800,900,1000])\n",
+ "# clb.set_label('(hPa)')\n",
+ "# fig.subplots_adjust(right=0.8, wspace=0.1, hspace=0.3)\n",
+ "\n",
+ "\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Figure_5-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_5-checkpoint.ipynb
new file mode 100755
index 0000000..2a78632
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_5-checkpoint.ipynb
@@ -0,0 +1,280 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x460.8 with 2 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x460.8 with 2 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "\n",
+ "path = '/work/bb1018/b380723'\n",
+ "moments=(['1m','2m'])\n",
+ "resolutions=['0.8','0.4','0.2','0.1convon','0.05convon','0.025convon','0.1convoff','0.05convoff','0.025convoff']\n",
+ "\n",
+ "#extracting trajectory count for 1-moment\n",
+ "\n",
+ "#all trajectories\n",
+ "alltrajectory=[]\n",
+ "for moment in moments[:-1]:\n",
+ " for resolution in resolutions:\n",
+ " alltrajectory.append(xr.open_dataset(path+'/'+resolution+'/'+moment+'/'+'outtrace1.nc')['ntra'].shape[0]/1000)\n",
+ " \n",
+ "#subclasses\n",
+ "subclass1=[]\n",
+ "subclass2=[]\n",
+ "subclass3=[]\n",
+ "subclass4=[0,]\n",
+ "for moment in moments[:-1]:\n",
+ " for i in range(0,9):\n",
+ " subclass1.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box1.nc')['ntra'].shape[0]/1000)\n",
+ " subclass2.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box2.nc')['ntra'].shape[0]/1000)\n",
+ " subclass3.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box3.nc')['ntra'].shape[0]/1000)\n",
+ " for i in range(1,9):\n",
+ " subclass4.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box4.nc')['ntra'].shape[0]/1000)\n",
+ " \n",
+ "####plotting\n",
+ "\n",
+ "from pylab import figure, show, legend, ylabel\n",
+ "\n",
+ "fig=plt.figure(figsize=(6,6.4))\n",
+ "plt.rcParams.update({'font.size': 20})\n",
+ "\n",
+ "x1=['80','40','20','10','5','2.5'] \n",
+ "\n",
+ "ax1 = fig.add_subplot(111)\n",
+ "ax1.plot(x1,alltrajectory[:6], linewidth=0, marker='o', markersize=8, color='black', clip_on=False)\n",
+ "ax1.plot(x1[3:],alltrajectory[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='black', clip_on=False)\n",
+ "\n",
+ "ax1.spines['top'].set_visible(False)\n",
+ "ax1.xaxis.set_ticks_position('bottom')\n",
+ "ax1.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax1.yaxis.set_ticks_position('left')\n",
+ "ax1.spines['left'].set_position(('axes', -0.05))\n",
+ "ax1.tick_params(axis='x', direction='out')\n",
+ "ax1.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "ax1.set_yticks([0, 5000, 10000, 15000, 20000])\n",
+ "labels = ['0', '$5\\cdot10^{3}$', '$10\\cdot10^{3}$', '$15\\cdot10^{3}$', '$20\\cdot10^{3}$']\n",
+ "ax1.set_yticklabels(labels)\n",
+ "\n",
+ "plt.yticks(np.arange(0,20.1,5))\n",
+ "plt.ylim(0,20)\n",
+ "plt.xlim('80', '2.5')\n",
+ "\n",
+ "ax1.set_xlabel(\"Resolution (km)\")\n",
+ "ax1.set_ylabel(\"Trajectory count (all)\")\n",
+ "\n",
+ "#######################################for sub-classes#####################################\n",
+ "\n",
+ "ax2 = fig.add_subplot(111, sharex=ax1, frameon=False)\n",
+ "ax1.plot(x1,subclass1[:6], linewidth=0, marker='o', markersize=8, color='#2c7fb8', clip_on=False)\n",
+ "ax1.plot(x1,subclass2[:6], linewidth=0, marker='o', markersize=8, color='#2ca25f', clip_on=False)\n",
+ "ax1.plot(x1,subclass3[:6], linewidth=0, marker='o', markersize=8, color='#fec44f', clip_on=False)\n",
+ "ax1.plot(x1,subclass4[:6], linewidth=0, marker='o', markersize=8, color='#dd1c77', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass1[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#2c7fb8', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass2[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#2ca25f', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass3[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#fec44f', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass4[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#dd1c77', clip_on=False)\n",
+ "\n",
+ "ax2.yaxis.tick_right()\n",
+ "ax2.yaxis.set_label_position(\"right\")\n",
+ "ax2.xaxis.set_visible(False)\n",
+ "ax2.yaxis.set_visible(True)\n",
+ "\n",
+ "ax2.set_yticks([0, 2000 , 4000, 6000, 8000])\n",
+ "labels = ['0', '$2\\cdot10^{3}$', '$4\\cdot10^{3}$', '$6\\cdot10^{3}$', '$8\\cdot10^{3}$']\n",
+ "ax2.set_yticklabels(labels)\n",
+ "\n",
+ "plt.yticks(np.arange(0,8.1,2))\n",
+ "plt.ylim(0,8)\n",
+ "\n",
+ "ax1.spines['right'].set_position(('axes', 1.05))\n",
+ "ax2.spines['right'].set_position(('axes', 1.05))\n",
+ "\n",
+ "ax2.set_ylabel(\"Trajectory count (subclasses)\")\n",
+ "\n",
+ "plt.title('(a) 1-moment microphysics', x=0.21,y=1.1)\n",
+ "\n",
+ "##########################################for plotting legend###################################\n",
+ "\n",
+ "ax2.plot(x1,alltrajectory[:6], label='All trajectories', linewidth=0, marker='o', markersize=0, color='black', clip_on=False)\n",
+ "ax2.plot(x1,subclass1[:6], label='Trajectory 1', linewidth=0, marker='o', markersize=0, color='#2c7fb8', clip_on=False)\n",
+ "ax2.plot(x1,subclass2[:6], label='Trajectory 2', linewidth=0, marker='o', markersize=0, color='#2ca25f', clip_on=False)\n",
+ "ax2.plot(x1,subclass3[:6], label='Trajectory 3', linewidth=0, marker='o', markersize=0, color='#fec44f', clip_on=False)\n",
+ "ax2.plot(x1,subclass4[:6], label='Trajectory 4', linewidth=0, marker='o', markersize=0, color='#dd1c77', clip_on=False)\n",
+ "\n",
+ "\n",
+ "leg = plt.legend(loc='upper left', bbox_to_anchor=(-0.05, 1), handlelength=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ "\n",
+ "\n",
+ "########2-moment#################################################################\n",
+ "\n",
+ "\n",
+ "path = '/work/bb1018/b380723'\n",
+ "moments=(['1m','2m'])\n",
+ "resolutions=['0.8','0.4','0.2','0.1convon','0.05convon','0.025convon','0.1convoff','0.05convoff','0.025convoff']\n",
+ "\n",
+ "#extracting trajectory count for 1-moment\n",
+ "\n",
+ "#all trajectories\n",
+ "alltrajectory=[]\n",
+ "for moment in moments[1:]:\n",
+ " for resolution in resolutions:\n",
+ " alltrajectory.append(xr.open_dataset(path+'/'+resolution+'/'+moment+'/'+'outtrace1.nc')['ntra'].shape[0]/1000)\n",
+ " \n",
+ "#subclasses\n",
+ "subclass1=[]\n",
+ "subclass2=[]\n",
+ "subclass3=[]\n",
+ "subclass4=[0,]\n",
+ "for moment in moments[1:]:\n",
+ " for i in range(0,9):\n",
+ " subclass1.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box1.nc')['ntra'].shape[0]/1000)\n",
+ " subclass2.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box2.nc')['ntra'].shape[0]/1000)\n",
+ " subclass3.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box3.nc')['ntra'].shape[0]/1000)\n",
+ " for i in range(1,9):\n",
+ " subclass4.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box4.nc')['ntra'].shape[0]/1000)\n",
+ " \n",
+ "####plotting\n",
+ "\n",
+ "from pylab import figure, show, legend, ylabel\n",
+ "\n",
+ "fig=plt.figure(figsize=(6,6.4))\n",
+ "plt.rcParams.update({'font.size': 20})\n",
+ "\n",
+ "x1=['80','40','20','10','5','2.5'] \n",
+ "\n",
+ "ax1 = fig.add_subplot(111)\n",
+ "ax1.plot(x1,alltrajectory[:6], linewidth=0, marker='o', markersize=8, color='black', clip_on=False)\n",
+ "ax1.plot(x1[3:],alltrajectory[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='black', clip_on=False)\n",
+ "\n",
+ "ax1.spines['top'].set_visible(False)\n",
+ "ax1.xaxis.set_ticks_position('bottom')\n",
+ "ax1.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax1.yaxis.set_ticks_position('left')\n",
+ "ax1.spines['left'].set_position(('axes', -0.05))\n",
+ "ax1.tick_params(axis='x', direction='out')\n",
+ "ax1.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "ax1.set_yticks([0, 5000, 10000, 15000, 20000])\n",
+ "labels = ['0', '$5\\cdot10^{3}$', '$10\\cdot10^{3}$', '$15\\cdot10^{3}$', '$20\\cdot10^{3}$']\n",
+ "ax1.set_yticklabels(labels)\n",
+ "\n",
+ "plt.yticks(np.arange(0,20.1,5))\n",
+ "plt.ylim(0,20)\n",
+ "plt.xlim('80', '2.5')\n",
+ "\n",
+ "ax1.set_xlabel(\"Resolution (km)\")\n",
+ "ax1.set_ylabel(\"Trajectory count (all)\")\n",
+ "\n",
+ "#######################################for sub-classes#####################################\n",
+ "\n",
+ "ax2 = fig.add_subplot(111, sharex=ax1, frameon=False)\n",
+ "ax1.plot(x1,subclass1[:6], linewidth=0, marker='o', markersize=8, color='#2c7fb8', clip_on=False)\n",
+ "ax1.plot(x1,subclass2[:6], linewidth=0, marker='o', markersize=8, color='#2ca25f', clip_on=False)\n",
+ "ax1.plot(x1,subclass3[:6], linewidth=0, marker='o', markersize=8, color='#fec44f', clip_on=False)\n",
+ "ax1.plot(x1,subclass4[:6], linewidth=0, marker='o', markersize=8, color='#dd1c77', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass1[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#2c7fb8', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass2[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#2ca25f', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass3[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#fec44f', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass4[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#dd1c77', clip_on=False)\n",
+ "\n",
+ "ax2.yaxis.tick_right()\n",
+ "ax2.yaxis.set_label_position(\"right\")\n",
+ "ax2.xaxis.set_visible(False)\n",
+ "ax2.yaxis.set_visible(True)\n",
+ "\n",
+ "ax2.set_yticks([0, 2000 , 4000, 6000, 8000])\n",
+ "labels = ['0', '$2\\cdot10^{3}$', '$4\\cdot10^{3}$', '$6\\cdot10^{3}$', '$8\\cdot10^{3}$']\n",
+ "ax2.set_yticklabels(labels)\n",
+ "\n",
+ "plt.yticks(np.arange(0,8.1,2))\n",
+ "plt.ylim(0,8)\n",
+ "\n",
+ "ax1.spines['right'].set_position(('axes', 1.05))\n",
+ "ax2.spines['right'].set_position(('axes', 1.05))\n",
+ "\n",
+ "ax2.set_ylabel(\"Trajectory count (subclasses)\")\n",
+ "\n",
+ "plt.title('(b) 2-moment microphysics', x=0.21,y=1.1)\n",
+ "\n",
+ "##########################################for plotting legend###################################\n",
+ "\n",
+ "ax2.plot(x1,alltrajectory[:6], label='All trajectories', linewidth=0, marker='o', markersize=0, color='black', clip_on=False)\n",
+ "ax2.plot(x1,subclass1[:6], label='Trajectory 1', linewidth=0, marker='o', markersize=0, color='#2c7fb8', clip_on=False)\n",
+ "ax2.plot(x1,subclass2[:6], label='Trajectory 2', linewidth=0, marker='o', markersize=0, color='#2ca25f', clip_on=False)\n",
+ "ax2.plot(x1,subclass3[:6], label='Trajectory 3', linewidth=0, marker='o', markersize=0, color='#fec44f', clip_on=False)\n",
+ "ax2.plot(x1,subclass4[:6], label='Trajectory 4', linewidth=0, marker='o', markersize=0, color='#dd1c77', clip_on=False)\n",
+ "\n",
+ "\n",
+ "leg = plt.legend(loc='upper left', bbox_to_anchor=(-0.05, 1), handlelength=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Figure_6-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_6-checkpoint.ipynb
new file mode 100644
index 0000000..801de8a
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_6-checkpoint.ipynb
@@ -0,0 +1,481 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Load packages\n",
+ "import xarray as xr\n",
+ "import pickle\n",
+ "from scipy import stats\n",
+ "from scipy import *\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import warnings\n",
+ "warnings.simplefilter(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Loading trajectories\n",
+ "ds1=xr.open_dataset('/work/bb1018/b380723/0.8/1m/outtrace1.nc')\n",
+ "ds2=xr.open_dataset('/work/bb1018/b380723/0.4/1m/outtrace1.nc')\n",
+ "ds3=xr.open_dataset('/work/bb1018/b380723/0.2/1m/outtrace1.nc')\n",
+ "ds4=xr.open_dataset('/work/bb1018/b380723/0.1convon/1m/outtrace1.nc')\n",
+ "ds5=xr.open_dataset('/work/bb1018/b380723/0.05convon/1m/outtrace1.nc')\n",
+ "ds6=xr.open_dataset('/work/bb1018/b380723/0.025convon/1m/outtrace1.nc')\n",
+ "ds7=xr.open_dataset('/work/bb1018/b380723/0.1convoff/1m/outtrace1.nc') \n",
+ "ds8=xr.open_dataset('/work/bb1018/b380723/0.05convoff/1m/outtrace1.nc')\n",
+ "ds9=xr.open_dataset('/work/bb1018/b380723/0.025convoff/1m/outtrace1.nc')\n",
+ "\n",
+ "#computing statistics\n",
+ "\n",
+ "#creating empty arrays for saving calculations\n",
+ "#abbreviations used- \n",
+ "# map- main ascent period; mah- main ascent height \n",
+ "\n",
+ "maxiarg=xr.full_like(ds1.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds1.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds1.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds1.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds1.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds1.P[0,:], np.nan)\n",
+ "\n",
+ "#main ascent period (map) and ascent height (mah) during main ascent period for each trajectory\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds1.P.ntra.size):\n",
+ " maxiarg[i]=ds1.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds1.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i] #main ascent period\n",
+ " \n",
+ " mah[i]=ds1.P[maxiarg[i].astype(int).values,i]-ds1.P[miniarg[i].astype(int).values,i] #ascent height during main ascent period\n",
+ "\n",
+ "#ascent rate for each trajectory\n",
+ "P=xr.full_like(ds1.P, np.nan)\n",
+ "for i in range(ds1.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds1.P[j+1,i]-ds1.P[j,i]) #ascent rate during main ascent periof\n",
+ "\n",
+ "#Calculating and saving mean MAP, minimum MAP, maximum MAP, mean ascent height, mean ascent rate over all trajectories\n",
+ "resulttrajtot_a=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "#########################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds2.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds2.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds2.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds2.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds2.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds2.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds2.P.ntra.size):\n",
+ " maxiarg[i]=ds2.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds2.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds2.P[maxiarg[i].astype(int).values,i]-ds2.P[miniarg[i].astype(int).values,i]\n",
+ " \n",
+ "P=xr.full_like(ds2.P, np.nan)\n",
+ "for i in range(ds2.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds2.P[j+1,i]-ds2.P[j,i])\n",
+ "\n",
+ "resulttrajtot_b=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "#########################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds3.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds3.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds3.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds3.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds3.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds3.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds3.P.ntra.size):\n",
+ " maxiarg[i]=ds3.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds3.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds3.P[maxiarg[i].astype(int).values,i]-ds3.P[miniarg[i].astype(int).values,i]\n",
+ "\n",
+ "P=xr.full_like(ds3.P, np.nan)\n",
+ "for i in range(ds3.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds3.P[j+1,i]-ds3.P[j,i])\n",
+ "\n",
+ "resulttrajtot_c=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "##########################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds4.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds4.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds4.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds4.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds4.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds4.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds4.P.ntra.size):\n",
+ " maxiarg[i]=ds4.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds4.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds4.P[maxiarg[i].astype(int).values,i]-ds4.P[miniarg[i].astype(int).values,i]\n",
+ "\n",
+ "P=xr.full_like(ds4.P, np.nan)\n",
+ "for i in range(ds4.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds4.P[j+1,i]-ds4.P[j,i])\n",
+ "\n",
+ "resulttrajtot_d=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "#######################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds5.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds5.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds5.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds5.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds5.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds5.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds5.P.ntra.size):\n",
+ " maxiarg[i]=ds5.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds5.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds5.P[maxiarg[i].astype(int).values,i]-ds5.P[miniarg[i].astype(int).values,i]\n",
+ "\n",
+ "P=xr.full_like(ds5.P, np.nan)\n",
+ "for i in range(ds5.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds5.P[j+1,i]-ds5.P[j,i])\n",
+ "\n",
+ "resulttrajtot_e=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "##########################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds6.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds6.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds6.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds6.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds6.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds6.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds6.P.ntra.size):\n",
+ " maxiarg[i]=ds6.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds6.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds6.P[maxiarg[i].astype(int).values,i]-ds6.P[miniarg[i].astype(int).values,i]\n",
+ " \n",
+ "P=xr.full_like(ds6.P, np.nan)\n",
+ "for i in range(ds6.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds6.P[j+1,i]-ds6.P[j,i])\n",
+ "\n",
+ "resulttrajtot_f=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "#########################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds7.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds7.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds7.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds7.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds7.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds7.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds7.P.ntra.size):\n",
+ " maxiarg[i]=ds7.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds7.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds7.P[maxiarg[i].astype(int).values,i]-ds7.P[miniarg[i].astype(int).values,i]\n",
+ " \n",
+ "P=xr.full_like(ds7.P, np.nan)\n",
+ "for i in range(ds7.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds7.P[j+1,i]-ds7.P[j,i])\n",
+ "\n",
+ "resulttrajtot_g=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "#########################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds8.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds8.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds8.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds8.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds8.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds8.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds8.P.ntra.size):\n",
+ " maxiarg[i]=ds8.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds8.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds8.P[maxiarg[i].astype(int).values,i]-ds8.P[miniarg[i].astype(int).values,i]\n",
+ "\n",
+ "P=xr.full_like(ds8.P, np.nan)\n",
+ "for i in range(ds8.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds8.P[j+1,i]-ds8.P[j,i])\n",
+ " \n",
+ "resulttrajtot_h=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "\n",
+ "##########################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds9.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds9.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds9.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds9.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds9.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds9.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds9.P.ntra.size):\n",
+ " maxiarg[i]=ds9.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds9.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds9.P[maxiarg[i].astype(int).values,i]-ds9.P[miniarg[i].astype(int).values,i]\n",
+ "\n",
+ "P=xr.full_like(ds9.P, np.nan)\n",
+ "for i in range(ds9.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds9.P[j+1,i]-ds9.P[j,i])\n",
+ "\n",
+ "resulttrajtot_i=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "\n",
+ "##############################################################################\n",
+ "#saving calculations of all statistics for all resolutions\n",
+ "\n",
+ "resulttrajtot=[resulttrajtot_a,resulttrajtot_b,resulttrajtot_c,resulttrajtot_d,resulttrajtot_e,resulttrajtot_f,resulttrajtot_g,resulttrajtot_h,resulttrajtot_i,]\n",
+ "\n",
+ "with open(\"trajtot_stat_unfiltered_1m.pkl\",\"wb\") as f:\n",
+ " pickle.dump(resulttrajtot,f)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#loading saved calculation\n",
+ "\n",
+ "with open(\"/work/bb1018/b380723/figures/p_1m/trajtot_stat_unfiltered_1m.pkl\",\"rb\") as f:\n",
+ " trajtot = pickle.load(f)\n",
+ " \n",
+ "resulttrajtot_a=trajtot[0]\n",
+ "resulttrajtot_b=trajtot[1]\n",
+ "resulttrajtot_c=trajtot[2]\n",
+ "resulttrajtot_d=trajtot[3]\n",
+ "resulttrajtot_e=trajtot[4]\n",
+ "resulttrajtot_f=trajtot[5]\n",
+ "resulttrajtot_g=trajtot[6]\n",
+ "resulttrajtot_h=trajtot[7]\n",
+ "resulttrajtot_i=trajtot[8]\n",
+ "\n",
+ "with open(\"/work/bb1018/b380723/figures/p_1m/trajtot_stat_unfiltered_2m.pkl\",\"rb\") as f:\n",
+ " trajtot2m = pickle.load(f)\n",
+ " \n",
+ "resulttrajtot2m_a=trajtot2m[0]\n",
+ "resulttrajtot2m_b=trajtot2m[1]\n",
+ "resulttrajtot2m_c=trajtot2m[2]\n",
+ "resulttrajtot2m_d=trajtot2m[3]\n",
+ "resulttrajtot2m_e=trajtot2m[4]\n",
+ "resulttrajtot2m_f=trajtot2m[5]\n",
+ "resulttrajtot2m_g=trajtot2m[6]\n",
+ "resulttrajtot2m_h=trajtot2m[7]\n",
+ "resulttrajtot2m_i=trajtot2m[8]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 504x1008 with 4 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(7,14))\n",
+ "plt.rcParams.update({'font.size': 13})\n",
+ "plt.subplots_adjust(hspace = 0.6, wspace=0.6)\n",
+ "\n",
+ "\n",
+ "########################################mean MAP############################\n",
+ "\n",
+ "ax= plt.subplot(421)\n",
+ "\n",
+ "x1=['80','40','20','10','5','2.5']\n",
+ "trajtot=[resulttrajtot_a[0], resulttrajtot_b[0], resulttrajtot_c[0], resulttrajtot_d[0], resulttrajtot_e[0], resulttrajtot_f[0]]\n",
+ "trajtotconvoff=[resulttrajtot_g[0], resulttrajtot_h[0], resulttrajtot_i[0]]\n",
+ "\n",
+ "ax.plot(x1,trajtot,linewidth=0, marker='o', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtotconvoff, linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "trajtot2m=[resulttrajtot2m_a[0], resulttrajtot2m_b[0], resulttrajtot2m_c[0], resulttrajtot2m_d[0], resulttrajtot2m_e[0], resulttrajtot2m_f[0]]\n",
+ "trajtot2mconvoff=[resulttrajtot2m_g[0], resulttrajtot2m_h[0], resulttrajtot2m_i[0]]\n",
+ "\n",
+ "ax.plot(x1,trajtot2m,linewidth=0, marker='s', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtot2mconvoff, linewidth=0, marker='s', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "plt.yticks(np.arange(35,44.1,3))\n",
+ "plt.ylim(35,44)\n",
+ "plt.xlim('80', '2.5')\n",
+ "\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ " \n",
+ "plt.title('(a) Mean MAP (hours)',x=0.26,y=1.1, fontsize=13.5)\n",
+ "\n",
+ "########################################min MAP############################\n",
+ "\n",
+ "ax= plt.subplot(423)\n",
+ "\n",
+ "x1=['80','40','20','10','5','2.5']\n",
+ "trajtot=[resulttrajtot_a[1], resulttrajtot_b[1], resulttrajtot_c[1], resulttrajtot_d[1], resulttrajtot_e[1], resulttrajtot_f[1]]\n",
+ "trajtotconvoff=[resulttrajtot_g[1], resulttrajtot_h[1], resulttrajtot_i[1]]\n",
+ "\n",
+ "ax.plot(x1,trajtot,linewidth=0, marker='o', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtotconvoff, linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "trajtot2m=[resulttrajtot2m_a[1], resulttrajtot2m_b[1], resulttrajtot2m_c[1], resulttrajtot2m_d[1], resulttrajtot2m_e[1], resulttrajtot2m_f[1]]\n",
+ "trajtot2mconvoff=[resulttrajtot2m_g[1], resulttrajtot2m_h[1], resulttrajtot2m_i[1]]\n",
+ "\n",
+ "ax.plot(x1,trajtot2m,linewidth=0, marker='s', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtot2mconvoff, linewidth=0, marker='s', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "\n",
+ "plt.yticks(np.arange(5,30.1,5))\n",
+ "plt.ylim(3.3,31)\n",
+ "plt.xlim('80', '2.5')\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ " \n",
+ "plt.title('(b) Minimum MAP (hours)',x=0.34,y=1.1, fontsize=13.5)\n",
+ "\n",
+ "\n",
+ "########################################mean ascent height#####################################\n",
+ "\n",
+ "ax= plt.subplot(425)\n",
+ "\n",
+ "trajtot=[624, resulttrajtot_b[3], resulttrajtot_c[3], resulttrajtot_d[3], resulttrajtot_e[3], resulttrajtot_f[3]]\n",
+ "trajtotconvoff=[resulttrajtot_g[3], resulttrajtot_h[3], resulttrajtot_i[3]]\n",
+ "\n",
+ "ax.plot(x1,trajtot,linewidth=0, marker='o', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtotconvoff, linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "trajtot2m=[resulttrajtot2m_a[3], resulttrajtot2m_b[3], resulttrajtot2m_c[3], resulttrajtot2m_d[3], resulttrajtot2m_e[3], resulttrajtot2m_f[3]]\n",
+ "trajtot2mconvoff=[resulttrajtot2m_g[3], resulttrajtot2m_h[3], resulttrajtot2m_i[3]]\n",
+ "\n",
+ "ax.plot(x1,trajtot2m,linewidth=0, marker='s', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtot2mconvoff, linewidth=0, marker='s', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "plt.yticks(np.arange(620,700.1,20))\n",
+ "plt.ylim(620,700)\n",
+ "plt.xlim('80', '2.5')\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ " \n",
+ "plt.title('(c) Mean ascent height (hPa)',x=0.43,y=1.1, fontsize=13.5)\n",
+ "\n",
+ "##############################################mean ascent rate#################################\n",
+ "\n",
+ "ax= plt.subplot(427)\n",
+ "\n",
+ "trajtot=[resulttrajtot_a[4], resulttrajtot_b[4], resulttrajtot_c[4], resulttrajtot_d[4], resulttrajtot_e[4], resulttrajtot_f[4]]\n",
+ "trajtotconvoff=[resulttrajtot_g[4], resulttrajtot_h[4], resulttrajtot_i[4]]\n",
+ "\n",
+ "ax.plot(x1,trajtot,linewidth=0, marker='o', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtotconvoff, linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "trajtot2m=[resulttrajtot2m_a[4], resulttrajtot2m_b[4], resulttrajtot2m_c[4], resulttrajtot2m_d[4], resulttrajtot2m_e[4], resulttrajtot2m_f[4]]\n",
+ "trajtot2mconvoff=[resulttrajtot2m_g[4], resulttrajtot2m_h[4], resulttrajtot2m_i[4]]\n",
+ "\n",
+ "ax.plot(x1,trajtot2m,linewidth=0, marker='s', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtot2mconvoff, linewidth=0, marker='s', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "plt.yticks(np.arange(14,20.1,2))\n",
+ "plt.ylim(14,20)\n",
+ "plt.xlim('80', '2.5')\n",
+ "plt.xlabel(\"Resolution (km)\")\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ " \n",
+ "plt.title('(d) Mean ascent rate (hPa h$^{-1}$)',x=0.46,y=1.1, fontsize=13.5)\n",
+ "\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Figure_7-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_7-checkpoint.ipynb
new file mode 100755
index 0000000..362fdc9
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_7-checkpoint.ipynb
@@ -0,0 +1,316 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#load packages\n",
+ "import xarray as xr\n",
+ "import pickle\n",
+ "from scipy import stats\n",
+ "from scipy import *\n",
+ "import seaborn as sns\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import matplotlib.colors as mcolors\n",
+ "import matplotlib.cbook as cbook\n",
+ "import warnings\n",
+ "warnings.simplefilter(\"ignore\") "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 720x576 with 4 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#defining color dictionaries for plotting lines\n",
+ "def colordictionary():\n",
+ " # manually defined colors\n",
+ " mymaroon= np.array([128, 0, 0])/255\n",
+ " myred = np.array([230, 25, 75])/255\n",
+ " myorange= np.array([245, 130, 48])/255\n",
+ " mymagenta=np.array([240, 50, 230 ])/255\n",
+ " myolive = np.array([128, 128, 0])/255\n",
+ " myteal = np.array([ 0, 128, 128])/255\n",
+ " myblue = np.array([ 0, 130, 200])/255\n",
+ " mynavy = np.array([ 0, 0, 128])/255\n",
+ "\n",
+ " return {'80km': mymaroon, '40km': myred, '20km': myorange, '10km': myolive, '5km': myteal, '2km': myblue}\n",
+ "colors=colordictionary()\n",
+ "\n",
+ "##loading trajectories with traced pressure-level value\n",
+ "\n",
+ "ds1=xr.open_dataset('/work/bb1018/b380723/0.8/1m/outtrace3.nc')\n",
+ "ds2=xr.open_dataset('/work/bb1018/b380723/0.4/1m/outtrace3.nc')\n",
+ "ds3=xr.open_dataset('/work/bb1018/b380723/0.2/1m/outtrace3.nc')\n",
+ "ds4=xr.open_dataset('/work/bb1018/b380723/0.1convon/1m/outtrace3.nc')\n",
+ "ds5=xr.open_dataset('/work/bb1018/b380723/0.05convon/1m/outtrace3.nc')\n",
+ "ds6=xr.open_dataset('/work/bb1018/b380723/0.025convon/1m/outtrace3.nc')\n",
+ "ds7=xr.open_dataset('/work/bb1018/b380723/0.1convoff/1m/outtrace3.nc')\n",
+ "ds8=xr.open_dataset('/work/bb1018/b380723/0.05convoff/1m/outtrace3.nc')\n",
+ "ds9=xr.open_dataset('/work/bb1018/b380723/0.025convoff/1m/outtrace3.nc')\n",
+ "\n",
+ "\n",
+ "alltraj= (ds1[\"P\"], ds2[\"P\"], ds3[\"P\"], ds4[\"P\"], ds5[\"P\"], ds6[\"P\"], ds7[\"P\"], ds8[\"P\"], ds9[\"P\"])\n",
+ "\n",
+ "\n",
+ "a1=np.nanpercentile(alltraj[0], 25,axis=1)\n",
+ "a2=np.nanpercentile(alltraj[0], 50,axis=1)\n",
+ "a3=np.nanpercentile(alltraj[0], 75,axis=1)\n",
+ "\n",
+ "b1=np.nanpercentile(alltraj[1], 25,axis=1)\n",
+ "b2=np.nanpercentile(alltraj[1], 50,axis=1)\n",
+ "b3=np.nanpercentile(alltraj[1], 75,axis=1)\n",
+ "\n",
+ "c1=np.nanpercentile(alltraj[2], 25,axis=1)\n",
+ "c2=np.nanpercentile(alltraj[2], 50,axis=1)\n",
+ "c3=np.nanpercentile(alltraj[2], 75,axis=1)\n",
+ "\n",
+ "d1=np.nanpercentile(alltraj[3], 25,axis=1)\n",
+ "d2=np.nanpercentile(alltraj[3], 50,axis=1)\n",
+ "d3=np.nanpercentile(alltraj[3], 75,axis=1)\n",
+ "\n",
+ "e1=np.nanpercentile(alltraj[4], 25,axis=1)\n",
+ "e2=np.nanpercentile(alltraj[4], 50,axis=1)\n",
+ "e3=np.nanpercentile(alltraj[4], 75,axis=1)\n",
+ "\n",
+ "f1=np.nanpercentile(alltraj[5], 25,axis=1)\n",
+ "f2=np.nanpercentile(alltraj[5], 50,axis=1)\n",
+ "f3=np.nanpercentile(alltraj[5], 75,axis=1)\n",
+ "\n",
+ "g1=np.nanpercentile(alltraj[6], 25,axis=1)\n",
+ "g2=np.nanpercentile(alltraj[6], 50,axis=1)\n",
+ "g3=np.nanpercentile(alltraj[6], 75,axis=1)\n",
+ "\n",
+ "h1=np.nanpercentile(alltraj[7], 25,axis=1)\n",
+ "h2=np.nanpercentile(alltraj[7], 50,axis=1)\n",
+ "h3=np.nanpercentile(alltraj[7], 75,axis=1)\n",
+ "\n",
+ "i1=np.nanpercentile(alltraj[8], 25,axis=1)\n",
+ "i2=np.nanpercentile(alltraj[8], 50,axis=1)\n",
+ "i3=np.nanpercentile(alltraj[8], 75,axis=1)\n",
+ "\n",
+ "###########################################\n",
+ "\n",
+ "plt.figure(figsize=(10,8))\n",
+ "plt.rcParams.update({'font.size': 13})\n",
+ "plt.subplots_adjust(hspace = 0.6, wspace=0.3)\n",
+ "\n",
+ "ax= plt.subplot(221)\n",
+ "\n",
+ "ax.plot(alltraj[0].ntim,a2, linewidth=1, label='80km', color=colors['80km'])\n",
+ "ax.fill_between(alltraj[0].ntim,a3,a1,color=colors['80km'],alpha=0.2)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "\n",
+ "ax.plot(alltraj[0].ntim,f2, linewidth=1, label='2.5km', color=colors['2km'])\n",
+ "ax.fill_between(alltraj[0].ntim,f3,f1,color=colors['2km'],alpha=0.2)\n",
+ "\n",
+ "plt.xlabel(\"Hours since 2016-09-22:12UTC\")\n",
+ "\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1007.5)\n",
+ "plt.gca().invert_yaxis()\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "leg = plt.legend(loc='lower right', bbox_to_anchor=(1.05,-0.05), fontsize=13.7, handlelength=0, markerscale=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ " \n",
+ "plt.title('(a) Pressure level (hPa)',x=0.25, y=1.05)\n",
+ "\n",
+ "###########################################ascent velocity###############################################\n",
+ "##loading file containing traced ascent velocity binned over pressure-level\n",
+ "\n",
+ "with open(\"/work/bb1018/b380723/figures/w_1m/newcal/binmeanalltraj.pkl\",\"rb\") as f:\n",
+ " binmeanalltraj = pickle.load(f)\n",
+ "\n",
+ "a2=np.nanmean(binmeanalltraj[0][1], axis=1)\n",
+ "b2=np.nanmean(binmeanalltraj[1][1], axis=1)\n",
+ "c2=np.nanmean(binmeanalltraj[2][1], axis=1)\n",
+ "d2=np.nanmean(binmeanalltraj[3][1], axis=1)\n",
+ "e2=np.nanmean(binmeanalltraj[4][1], axis=1)\n",
+ "f2=np.nanmean(binmeanalltraj[5][1], axis=1)\n",
+ "g2=np.nanmean(binmeanalltraj[6][1], axis=1)\n",
+ "h2=np.nanmean(binmeanalltraj[7][1], axis=1)\n",
+ "i2=np.nanmean(binmeanalltraj[8][1], axis=1)\n",
+ "\n",
+ "\n",
+ "ax=plt.subplot(222)\n",
+ "\n",
+ "ax.plot(binmeanalltraj[0][0],a2, marker='o',color=colors['80km'],label='80km',clip_on=False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "\n",
+ "ax.plot(binmeanalltraj[1][0],b2, marker='o',color=colors['40km'],label='40km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[2][0],c2, marker='o',color=colors['20km'],label='20km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[3][0],d2, marker='o',color=colors['10km'],label='10km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[4][0],e2, marker='o',color=colors['5km'],label='5km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[5][0],f2, marker='o',color=colors['2km'],label='2.5km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[6][0],g2, marker='o',markerfacecolor='None',color=colors['10km'],clip_on=False)\n",
+ "ax.plot(binmeanalltraj[7][0],h2, marker='o',markerfacecolor='None',color=colors['5km'],clip_on=False)\n",
+ "ax.plot(binmeanalltraj[8][0],i2, marker='o',markerfacecolor='None',color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "\n",
+ "plt.xlim(200,1007.5); plt.ylim(-0.001,0.4)\n",
+ "plt.gca().invert_xaxis()\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "plt.title('(b) Ascent velocity (m s$^{-1}$)', x=0.31, y=1.05)\n",
+ "plt.xlabel(\"Pressure level (hPa)\")\n",
+ "\n",
+ "\n",
+ "#################################################absolute vorticity##########################################\n",
+ "with open(\"/work/bb1018/b380723/figures/av_1m/newcal/binmeanalltraj.pkl\",\"rb\") as f:\n",
+ " binmeanalltraj = pickle.load(f)\n",
+ "\n",
+ "a2=np.nanmean(binmeanalltraj[0][1], axis=1)\n",
+ "b2=np.nanmean(binmeanalltraj[1][1], axis=1)\n",
+ "c2=np.nanmean(binmeanalltraj[2][1], axis=1)\n",
+ "d2=np.nanmean(binmeanalltraj[3][1], axis=1)\n",
+ "e2=np.nanmean(binmeanalltraj[4][1], axis=1)\n",
+ "f2=np.nanmean(binmeanalltraj[5][1], axis=1)\n",
+ "g2=np.nanmean(binmeanalltraj[6][1], axis=1)\n",
+ "h2=np.nanmean(binmeanalltraj[7][1], axis=1)\n",
+ "i2=np.nanmean(binmeanalltraj[8][1], axis=1)\n",
+ "\n",
+ "\n",
+ "ax=plt.subplot(223)\n",
+ "\n",
+ "ax.plot(binmeanalltraj[0][0],a2, marker='o',color=colors['80km'],label='80km',clip_on=False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "\n",
+ "ax.plot(binmeanalltraj[1][0],b2, marker='o',color=colors['40km'],label='40km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[2][0],c2, marker='o',color=colors['20km'],label='20km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[3][0],d2, marker='o',color=colors['10km'],label='10km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[4][0],e2, marker='o',color=colors['5km'],label='5km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[5][0],f2, marker='o',color=colors['2km'],label='2.5km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[6][0],g2, marker='o',markerfacecolor='None',color=colors['10km'],clip_on=False)\n",
+ "ax.plot(binmeanalltraj[7][0],h2, marker='o',markerfacecolor='None',color=colors['5km'],clip_on=False)\n",
+ "ax.plot(binmeanalltraj[8][0],i2, marker='o',markerfacecolor='None',color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "plt.xlim(200,1007.5); plt.ylim(0,3)\n",
+ "plt.gca().invert_xaxis()\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "plt.title('(c) Absolute vorticity (10$^{-4}$ s$^{-1}$)', x=0.38, y=1.05)\n",
+ "\n",
+ "plt.xlabel(\"Pressure level (hPa)\")\n",
+ "\n",
+ "################################################potential vorticity################################################\n",
+ "with open(\"/work/bb1018/b380723/figures/pv_1m/newcal/binmeanalltraj.pkl\",\"rb\") as f:\n",
+ " binmeanalltraj = pickle.load(f)\n",
+ "\n",
+ "a2=np.nanmean(binmeanalltraj[0][1], axis=1)\n",
+ "b2=np.nanmean(binmeanalltraj[1][1], axis=1)\n",
+ "c2=np.nanmean(binmeanalltraj[2][1], axis=1)\n",
+ "d2=np.nanmean(binmeanalltraj[3][1], axis=1)\n",
+ "e2=np.nanmean(binmeanalltraj[4][1], axis=1)\n",
+ "f2=np.nanmean(binmeanalltraj[5][1], axis=1)\n",
+ "g2=np.nanmean(binmeanalltraj[6][1], axis=1)\n",
+ "h2=np.nanmean(binmeanalltraj[7][1], axis=1)\n",
+ "i2=np.nanmean(binmeanalltraj[8][1], axis=1)\n",
+ "\n",
+ "\n",
+ "ax=plt.subplot(224)\n",
+ "\n",
+ "ax.plot(binmeanalltraj[0][0],a2, marker='o',color=colors['80km'],label='80km',clip_on=False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "\n",
+ "ax.plot(binmeanalltraj[1][0],b2, marker='o',color=colors['40km'],label='40km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[2][0],c2, marker='o',color=colors['20km'],label='20km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[3][0],d2, marker='o',color=colors['10km'],label='10km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[4][0],e2, marker='o',color=colors['5km'],label='5km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[5][0],f2, marker='o',color=colors['2km'],label='2.5km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[6][0],g2, marker='o',markerfacecolor='None',color=colors['10km'],clip_on=False)\n",
+ "ax.plot(binmeanalltraj[7][0],h2, marker='o',markerfacecolor='None',color=colors['5km'],clip_on=False)\n",
+ "ax.plot(binmeanalltraj[8][0],i2, marker='o',markerfacecolor='None',color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "plt.xlim(200,1007.5); plt.ylim(-0.1,1.5)\n",
+ "plt.yticks(np.arange(-0.1,1.51,0.5))\n",
+ "plt.gca().invert_xaxis()\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "plt.title('(d) Potential vorticity (PVU)', x=0.32, y=1.05)\n",
+ "\n",
+ "plt.xlabel(\"Pressure level (hPa)\")\n",
+ "\n",
+ "leg = plt.legend(loc='lower right', bbox_to_anchor=(1.05,0.21), fontsize=13.5, handlelength=0, markerscale=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Figure_8-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_8-checkpoint.ipynb
new file mode 100755
index 0000000..4cebedb
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_8-checkpoint.ipynb
@@ -0,0 +1,305 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#loading datasets\n",
+ "import xarray as xr\n",
+ "import pickle\n",
+ "from scipy import stats\n",
+ "from scipy import *\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import warnings\n",
+ "warnings.simplefilter(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 288x1296 with 6 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#defining color dictionary for plotting lines\n",
+ "def colordictionary():\n",
+ " # manually defined colors\n",
+ " mymaroon= np.array([128, 0, 0])/255\n",
+ " myred = np.array([230, 25, 75])/255\n",
+ " myorange= np.array([245, 130, 48])/255\n",
+ " mymagenta=np.array([240, 50, 230 ])/255\n",
+ " myolive = np.array([128, 128, 0])/255\n",
+ " myteal = np.array([ 0, 128, 128])/255\n",
+ " myblue = np.array([ 0, 130, 200])/255\n",
+ " mynavy = np.array([ 0, 0, 128])/255\n",
+ "\n",
+ " return {'80km': mymaroon, '40km': myred, '20km': myorange, '10km': myolive, '5km': myteal, '2km': myblue}\n",
+ "colors=colordictionary()\n",
+ "###########################################\n",
+ "#loading total diabatic heating data and its different components traced along wcb, binned over pressure level and averaged over all trajectories\n",
+ "\n",
+ "#diabatic heating\n",
+ "with open(\"newcal/alltrajtot.pkl\",\"rb\") as f:\n",
+ " alltrajtot = pickle.load(f)\n",
+ " \n",
+ "#microphysics\n",
+ "with open(\"newcal/alltrajmphy.pkl\",\"rb\") as f:\n",
+ " alltrajmphy = pickle.load(f)\n",
+ "\n",
+ "#cloud radiative heating \n",
+ "with open(\"newcal/alltrajhrnew.pkl\",\"rb\") as f:\n",
+ " alltrajhrnew = pickle.load(f)\n",
+ " \n",
+ "#all-sky longwave radiative heating \n",
+ "with open(\"newcal/alltrajhrlw.pkl\",\"rb\") as f:\n",
+ " alltrajhrlw = pickle.load(f)\n",
+ "\n",
+ "#all-sky shortwave radiative heating \n",
+ "with open(\"newcal/alltrajhrsw.pkl\",\"rb\") as f:\n",
+ " alltrajhrsw = pickle.load(f)\n",
+ "\n",
+ "#net lonwave radiative heating \n",
+ "with open(\"newcal/alltrajhrlwnet.pkl\",\"rb\") as f:\n",
+ " alltrajhrlwnet = pickle.load(f)\n",
+ "\n",
+ "#net shortwave radiative heating \n",
+ "with open(\"newcal/alltrajhrswnet.pkl\",\"rb\") as f:\n",
+ " alltrajhrswnet = pickle.load(f)\n",
+ "\n",
+ "#convection\n",
+ "with open(\"newcal/alltrajpcon.pkl\",\"rb\") as f:\n",
+ " alltrajpcon = pickle.load(f)\n",
+ "\n",
+ "#turbulence\n",
+ "with open(\"newcal/alltrajturb.pkl\",\"rb\") as f:\n",
+ " alltrajturb = pickle.load(f)\n",
+ " \n",
+ "######################################################\n",
+ "\n",
+ "fig=plt.figure(figsize=(4,18))\n",
+ "plt.rcParams.update({'font.size': 13})\n",
+ "plt.subplots_adjust(hspace = 0.6)\n",
+ "\n",
+ "ax = fig.add_subplot(611)\n",
+ "ax.plot(alltrajtot[0][0], alltrajtot[0][1], linewidth=1, marker='o', label='80km', color=colors['80km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[1][0], alltrajtot[1][1], linewidth=1, marker='o', label='40km', color=colors['40km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[2][0], alltrajtot[2][1], linewidth=1, marker='o', label='20km', color=colors['20km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[3][0], alltrajtot[3][1], linewidth=1, marker='o', label='10km', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[4][0], alltrajtot[4][1], linewidth=1, marker='o', label='5km', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[5][0], alltrajtot[5][1], linewidth=1, marker='o', label='2.5km', color=colors['2km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[6][0], alltrajtot[6][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[7][0], alltrajtot[7][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[8][0], alltrajtot[8][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['2km'],clip_on=False)\n",
+ "leg = plt.legend(loc='lower right', bbox_to_anchor=(1.1,0.01), fontsize=12.5, handlelength=0, markerscale=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['bottom'].set_position('zero')\n",
+ "ax.tick_params(axis=\"x\", pad=15)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.xlim(200,1007.5)\n",
+ "plt.gca().invert_xaxis()\n",
+ "yticks=[0,2,4,6,8]\n",
+ "ax.set_yticks(yticks)\n",
+ "plt.ylim(-0.1,8)\n",
+ "plt.title('(a) total',x=0.06, y=1.05)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.1))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "\n",
+ "\n",
+ "ax = fig.add_subplot(612)\n",
+ "ax.plot(alltrajmphy[0][0], alltrajmphy[0][1], linewidth=1, marker='o', label='80km', color=colors['80km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[1][0], alltrajmphy[1][1], linewidth=1, marker='o', label='40km', color=colors['40km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[2][0], alltrajmphy[2][1], linewidth=1, marker='o', label='20km', color=colors['20km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[3][0], alltrajmphy[3][1], linewidth=1, marker='o', label='10km', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[4][0], alltrajmphy[4][1], linewidth=1, marker='o', label='5km', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[5][0], alltrajmphy[5][1], linewidth=1, marker='o', label='2.5km', color=colors['2km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[6][0], alltrajmphy[6][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[7][0], alltrajmphy[7][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[8][0], alltrajmphy[8][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['bottom'].set_position('zero')\n",
+ "ax.tick_params(axis=\"x\", pad=15)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.xlim(200,1007.5)\n",
+ "plt.gca().invert_xaxis()\n",
+ "yticks=[0,2,4,6,8]\n",
+ "ax.set_yticks(yticks)\n",
+ "plt.ylim(-0.1,8)\n",
+ "plt.title('(b) microphysics',x=0.21, y=1.05)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.1))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "\n",
+ "ax=fig.add_subplot(613)\n",
+ "ax.plot(alltrajhrnew[0][0], alltrajhrnew[0][1]/24, linewidth=1, marker='o', label='80km', color=colors['80km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[1][0], alltrajhrnew[1][1]/24, linewidth=1, marker='o', label='40km', color=colors['40km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[2][0], alltrajhrnew[2][1]/24, linewidth=1, marker='o', label='20km', color=colors['20km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[3][0], alltrajhrnew[3][1]/24, linewidth=1, marker='o', label='10km', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[4][0], alltrajhrnew[4][1]/24, linewidth=1, marker='o', label='5km', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[5][0], alltrajhrnew[5][1]/24, linewidth=1, marker='o', label='2.5km', color=colors['2km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[6][0], alltrajhrnew[6][1]/24, linewidth=1, marker='o', markerfacecolor='None', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[7][0], alltrajhrnew[7][1]/24, linewidth=1, marker='o', markerfacecolor='None', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[8][0], alltrajhrnew[8][1]/24, linewidth=1, marker='o', markerfacecolor='None', color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('zero'))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.xlim(200,1007.5)\n",
+ "plt.gca().invert_xaxis()\n",
+ "\n",
+ "plt.ylim(-0.1,0.1)\n",
+ "\n",
+ "plt.title('(c) cloud radiative heating',x=0.39, y=1.05)\n",
+ "\n",
+ "\n",
+ "\n",
+ "alltrajhrnet_clearsky=[((alltrajhrlw[0][1]-alltrajhrlwnet[0][1])+(alltrajhrsw[0][1]-alltrajhrswnet[0][1])),((alltrajhrlw[1][1]-alltrajhrlwnet[1][1])+(alltrajhrsw[1][1]-alltrajhrswnet[1][1])),((alltrajhrlw[2][1]-alltrajhrlwnet[2][1])+(alltrajhrsw[2][1]-alltrajhrswnet[2][1])),((alltrajhrlw[3][1]-alltrajhrlwnet[3][1])+(alltrajhrsw[3][1]-alltrajhrswnet[3][1])),((alltrajhrlw[4][1]-alltrajhrlwnet[4][1])+(alltrajhrsw[4][1]-alltrajhrswnet[4][1])),((alltrajhrlw[5][1]-alltrajhrlwnet[5][1])+(alltrajhrsw[5][1]-alltrajhrswnet[5][1])),((alltrajhrlw[6][1]-alltrajhrlwnet[6][1])+(alltrajhrsw[6][1]-alltrajhrswnet[6][1])),((alltrajhrlw[7][1]-alltrajhrlwnet[7][1])+(alltrajhrsw[7][1]-alltrajhrswnet[7][1])),((alltrajhrlw[8][1]-alltrajhrlwnet[8][1])+(alltrajhrsw[8][1]-alltrajhrswnet[8][1]))]\n",
+ "ax=fig.add_subplot(614)\n",
+ "ax.plot(alltrajhrlw[0][0], alltrajhrnet_clearsky[0]/24, linewidth=1, marker='o', label='80km', color=colors['80km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[1][0], alltrajhrnet_clearsky[1]/24, linewidth=1, marker='o', label='40km', color=colors['40km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[2][0], alltrajhrnet_clearsky[2]/24, linewidth=1, marker='o', label='20km', color=colors['20km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[3][0], alltrajhrnet_clearsky[3]/24, linewidth=1, marker='o', label='10km', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[4][0], alltrajhrnet_clearsky[4]/24, linewidth=1, marker='o', label='5km', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[5][0], alltrajhrnet_clearsky[5]/24, linewidth=1, marker='o', label='2.5km', color=colors['2km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[6][0], alltrajhrnet_clearsky[6]/24, linewidth=1, marker='o', markerfacecolor='None', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[7][0], alltrajhrnet_clearsky[7]/24, linewidth=1, marker='o', markerfacecolor='None', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[8][0], alltrajhrnet_clearsky[8]/24, linewidth=1, marker='o', markerfacecolor='None', color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.12))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.xlim(200,1007.5)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.ylim(-0.12,-0.04)\n",
+ "plt.title('(d) clear-sky radiative heating',x=0.45, y=1.05)\n",
+ "\n",
+ "\n",
+ "ax=fig.add_subplot(615)\n",
+ "ax.plot(alltrajpcon[0][0], alltrajpcon[0][1], linewidth=1, marker='o', label='80km', color=colors['80km'],clip_on=False)\n",
+ "ax.plot(alltrajpcon[1][0], alltrajpcon[1][1], linewidth=1, marker='o', label='40km', color=colors['40km'],clip_on=False)\n",
+ "ax.plot(alltrajpcon[2][0], alltrajpcon[2][1], linewidth=1, marker='o', label='20km', color=colors['20km'],clip_on=False)\n",
+ "ax.plot(alltrajpcon[3][0], alltrajpcon[3][1], linewidth=1, marker='o', label='10km', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajpcon[4][0], alltrajpcon[4][1], linewidth=1, marker='o', label='5km', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajpcon[5][0], alltrajpcon[5][1], linewidth=1, marker='o', label='2.5km', color=colors['2km'],clip_on=False)\n",
+ "\n",
+ " \n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['bottom'].set_position('zero')\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.xlim(200,1007.5)\n",
+ "plt.gca().invert_xaxis()\n",
+ "yticks=[0,0.5,1,1.5,2]\n",
+ "ax.set_yticks(yticks)\n",
+ "plt.ylim(-0.1,2)\n",
+ "\n",
+ "plt.title('(e) convection',x=0.18, y=1.05)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.1))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "ax=fig.add_subplot(616)\n",
+ "ax.plot(alltrajturb[0][0], alltrajturb[0][1], linewidth=1, marker='o', label='80km', color=colors['80km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[1][0], alltrajturb[1][1], linewidth=1, marker='o', label='40km', color=colors['40km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[2][0], alltrajturb[2][1], linewidth=1, marker='o', label='20km', color=colors['20km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[3][0], alltrajturb[3][1], linewidth=1, marker='o', label='10km', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[4][0], alltrajturb[4][1], linewidth=1, marker='o', label='5km', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[5][0], alltrajturb[5][1], linewidth=1, marker='o', label='2.5km', color=colors['2km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[6][0], alltrajturb[6][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[7][0], alltrajturb[7][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[8][0], alltrajturb[8][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.1))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "ax.spines['bottom'].set_position('zero')\n",
+ "ax.tick_params(axis=\"x\", pad=60)\n",
+ "plt.xlim(200,1007.5)\n",
+ "plt.gca().invert_xaxis()\n",
+ "yticks=[-0.6,-0.3,0,0.3,0.6]\n",
+ "ax.set_yticks(yticks)\n",
+ "plt.ylim(-0.6,0.6)\n",
+ "plt.xlabel(\"Pressure level (hPa)\")\n",
+ "plt.title('(f) turbulence',x=0.18, y=1.05)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Figure_9-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_9-checkpoint.ipynb
new file mode 100755
index 0000000..1cff0a6
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Figure_9-checkpoint.ipynb
@@ -0,0 +1,172 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import pickle\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 1080x648 with 2 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "def colordictionary():\n",
+ " # manually defined colors\n",
+ " mymaroon= np.array([128, 0, 0])/255\n",
+ " myred = np.array([230, 25, 75])/255\n",
+ " myorange= np.array([245, 130, 48])/255\n",
+ " mymagenta=np.array([240, 50, 230 ])/255\n",
+ " myolive = np.array([128, 128, 0])/255\n",
+ " myteal = np.array([ 0, 128, 128])/255\n",
+ " myblue = np.array([ 0, 130, 200])/255\n",
+ " mynavy = np.array([ 0, 0, 128])/255\n",
+ "\n",
+ " return {'80km': mymaroon, '40km': myred, '20km': myorange, '10km': myolive, '5km': myteal, '2km': myblue}\n",
+ "colors=colordictionary()\n",
+ "\n",
+ "#########################################################################################################\n",
+ "fig=plt.figure(figsize=(15,9))\n",
+ "plt.rcParams.update({'font.size': 16})\n",
+ "plt.subplots_adjust(hspace = 0.3, wspace=0.1)\n",
+ "\n",
+ "########################################################1-moment########################\n",
+ "\n",
+ "###########################################################mslp#########################\n",
+ "\n",
+ "path='/mnt/lustre01/pf/b/b380459/wcb-vladiana/'\n",
+ "pres1=xr.open_dataset(path+'nawdexnwp-80km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres2=xr.open_dataset(path+'nawdexnwp-40km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres3=xr.open_dataset(path+'nawdexnwp-20km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres4=xr.open_dataset(path+'nawdexnwp-10km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres5=xr.open_dataset(path+'nawdexnwp-5km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres6=xr.open_dataset(path+'nawdexnwp-2km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres7=xr.open_dataset(path+'nawdexnwp-10km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres8=xr.open_dataset(path+'nawdexnwp-5km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres9=xr.open_dataset(path+'nawdexnwp-2km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "###############################################################\n",
+ "\n",
+ "ax = fig.add_subplot(221)\n",
+ "\n",
+ "ax.plot(pres1.time,pres1.pres_msl_min_filtered/100,linewidth=1,marker='o', label='80km', color=colors['80km'], clip_on=False)\n",
+ "ax.plot(pres2.time,pres2.pres_msl_min_filtered/100,linewidth=1,marker='o', label='40km', color=colors['40km'], clip_on=False)\n",
+ "ax.plot(pres3.time,pres3.pres_msl_min_filtered/100,linewidth=1,marker='o', label='20km', color=colors['20km'], clip_on=False)\n",
+ "ax.plot(pres4.time,pres4.pres_msl_min_filtered/100,linewidth=1,marker='o', label='10km', color=colors['10km'], clip_on=False)\n",
+ "ax.plot(pres5.time,pres5.pres_msl_min_filtered/100,linewidth=1,marker='o', label='5km', color=colors['5km'], clip_on=False)\n",
+ "ax.plot(pres6.time,pres6.pres_msl_min_filtered/100,linewidth=1,marker='o', label='2.5km', color=colors['2km'], clip_on=False)\n",
+ "ax.plot(pres7.time,pres7.pres_msl_min_filtered/100,linewidth=1,marker='o', markerfacecolor='None',color=colors['10km'], clip_on=False)\n",
+ "ax.plot(pres8.time,pres8.pres_msl_min_filtered/100,linewidth=1,marker='o', markerfacecolor='None',color=colors['5km'], clip_on=False)\n",
+ "ax.plot(pres9.time,pres9.pres_msl_min_filtered/100,linewidth=1,marker='o', markerfacecolor='None',color=colors['2km'], clip_on=False)\n",
+ "\n",
+ "hour=np.arange(0,49,2)\n",
+ "mslp_era5=np.load('/work/bb1018/b380723/figures/large_scale/mslp_era5.npy')\n",
+ "ax.plot(hour,mslp_era5,linewidth=1,color='black',label='ERA5')\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "plt.xlim(0,49)\n",
+ "plt.xticks(np.arange(0,49.1,8))\n",
+ "plt.ylim(974,995)\n",
+ "plt.yticks(np.arange(975,995.1,5))\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "\n",
+ "ax.set_ylabel(\"Cyclone centre MSLP (hPa)\")\n",
+ "\n",
+ "plt.title('(a) 1-moment cloud microphysics',x=0.35,y=1.05)\n",
+ "\n",
+ "\n",
+ "###################################################2moment#################################\n",
+ "\n",
+ "###############################mslp############################################\n",
+ "path='/mnt/lustre01/pf/b/b380459/wcb-vladiana/'\n",
+ "pres1=xr.open_dataset(path+'nawdexnwp-80km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres2=xr.open_dataset(path+'nawdexnwp-40km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres3=xr.open_dataset(path+'nawdexnwp-20km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres4=xr.open_dataset(path+'nawdexnwp-10km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres5=xr.open_dataset(path+'nawdexnwp-5km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres6=xr.open_dataset(path+'nawdexnwp-2km-mis-0004_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres7=xr.open_dataset(path+'nawdexnwp-10km-mis-0004_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres8=xr.open_dataset(path+'nawdexnwp-5km-mis-0004_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres9=xr.open_dataset(path+'nawdexnwp-2km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "###############################################################\n",
+ "\n",
+ "ax = fig.add_subplot(222)\n",
+ "\n",
+ "ax.plot(pres1.time,pres1.pres_msl_min_filtered/100,linewidth=1,marker='o', label='80km', color=colors['80km'], clip_on=False)\n",
+ "ax.plot(pres2.time,pres2.pres_msl_min_filtered/100,linewidth=1,marker='o', label='40km', color=colors['40km'], clip_on=False)\n",
+ "ax.plot(pres3.time,pres3.pres_msl_min_filtered/100,linewidth=1,marker='o', label='20km', color=colors['20km'], clip_on=False)\n",
+ "ax.plot(pres4.time,pres4.pres_msl_min_filtered/100,linewidth=1,marker='o', label='10km', color=colors['10km'], clip_on=False)\n",
+ "ax.plot(pres5.time,pres5.pres_msl_min_filtered/100,linewidth=1,marker='o', label='5km', color=colors['5km'], clip_on=False)\n",
+ "ax.plot(pres6.time,pres6.pres_msl_min_filtered/100,linewidth=1,marker='o', label='2.5km', color=colors['2km'], clip_on=False)\n",
+ "ax.plot(pres7.time,pres7.pres_msl_min_filtered/100,linewidth=1,marker='o', markerfacecolor='None',color=colors['10km'], clip_on=False)\n",
+ "ax.plot(pres8.time,pres8.pres_msl_min_filtered/100,linewidth=1,marker='o', markerfacecolor='None',color=colors['5km'], clip_on=False)\n",
+ "ax.plot(pres9.time,pres9.pres_msl_min_filtered/100,linewidth=1,marker='o', markerfacecolor='None',color=colors['2km'], clip_on=False)\n",
+ "\n",
+ "hour=np.arange(0,49,2)\n",
+ "mslp_era5=np.load('/work/bb1018/b380723/figures/large_scale/mslp_era5.npy')\n",
+ "ax.plot(hour,mslp_era5,linewidth=1,color='black',label='ERA5')\n",
+ "\n",
+ "leg = plt.legend(bbox_to_anchor=(0.97,0.78), handlelength=0, markerscale=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "plt.xlim(0,49)\n",
+ "plt.xticks(np.arange(0,49.1,4))\n",
+ "plt.ylim(974,995)\n",
+ "plt.yticks(np.arange(975,995.1,5))\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "\n",
+ "plt.title('(b) 2-moment cloud microphysics',x=0.35,y=1.05)\n",
+ "\n",
+ "\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Supp_Figure_1-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Supp_Figure_1-checkpoint.ipynb
new file mode 100644
index 0000000..614632f
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Supp_Figure_1-checkpoint.ipynb
@@ -0,0 +1,267 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "from scipy import stats\n",
+ "from scipy import *\n",
+ "import seaborn as sns\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import matplotlib.colors as mcolors\n",
+ "import matplotlib.cbook as cbook\n",
+ "import warnings\n",
+ "warnings.simplefilter(\"ignore\") "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ds1=xr.open_dataset('/work/bb1018/b380723/0.8/1m/outtrace2.nc')\n",
+ "ds2=xr.open_dataset('/work/bb1018/b380723/0.4/1m/outtrace2.nc')\n",
+ "ds3=xr.open_dataset('/work/bb1018/b380723/0.2/1m/outtrace2.nc')\n",
+ "ds4=xr.open_dataset('/work/bb1018/b380723/0.1convon/1m/outtrace2.nc')\n",
+ "ds5=xr.open_dataset('/work/bb1018/b380723/0.05convon/1m/outtrace2.nc')\n",
+ "ds6=xr.open_dataset('/work/bb1018/b380723/0.025convon/1m/outtrace2.nc')\n",
+ "ds7=xr.open_dataset('/work/bb1018/b380723/0.1convoff/1m/outtrace2.nc')\n",
+ "ds8=xr.open_dataset('/work/bb1018/b380723/0.05convoff/1m/outtrace2.nc')\n",
+ "ds9=xr.open_dataset('/work/bb1018/b380723/0.025convoff/1m/outtrace2.nc')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Creating data for 2-d histograms of WCB air parcels in terms of their pressure location and time\n",
+ "#segregating wcb parcels common to each bin of pressure level (of 10hPa between 1000 and 200 hPa) and time interval (1 hourly)\n",
+ "\n",
+ "plist=np.arange(1000,190,-10)\n",
+ "tlist=np.arange(0,50,1)\n",
+ "\n",
+ "trajds1=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds1.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds1.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds1[j,i]=len(np.array(ds1.P[tlist[j]:tlist[j+1],:].where(((ds1.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds1.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ " \n",
+ "trajds2=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds2.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds2.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds2[j,i]=len(np.array(ds2.P[tlist[j]:tlist[j+1],:].where(((ds2.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds2.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ "\n",
+ "trajds3=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds3.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds3.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds3[j,i]=len(np.array(ds3.P[tlist[j]:tlist[j+1],:].where(((ds3.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds3.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ " \n",
+ "trajds4=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds4.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds4.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds4[j,i]=len(np.array(ds4.P[tlist[j]:tlist[j+1],:].where(((ds4.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds4.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ " \n",
+ "trajds5=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds5.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds5.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds5[j,i]=len(np.array(ds5.P[tlist[j]:tlist[j+1],:].where(((ds5.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds5.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ " \n",
+ "trajds6=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds6.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds6.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds6[j,i]=len(np.array(ds6.P[tlist[j]:tlist[j+1],:].where(((ds6.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds6.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ " \n",
+ "trajds7=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds7.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds7.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds7[j,i]=len(np.array(ds7.P[tlist[j]:tlist[j+1],:].where(((ds7.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds7.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ " \n",
+ "trajds8=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds8.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds8.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds8[j,i]=len(np.array(ds8.P[tlist[j]:tlist[j+1],:].where(((ds8.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds8.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ " \n",
+ "trajds9=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds9.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds9.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds9[j,i]=len(np.array(ds9.P[tlist[j]:tlist[j+1],:].where(((ds9.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds9.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 936x648 with 10 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#plotting\n",
+ "\n",
+ "fig=plt.figure(figsize=(13,9))\n",
+ "plt.rcParams.update({'font.size': 13})\n",
+ "ax=plt.subplots_adjust(hspace = 0.4, wspace=0.2)\n",
+ "\n",
+ "\n",
+ "ax=plt.subplot(331)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds1.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('80km', x=0.1, y=1.05)\n",
+ "ax.set_ylabel(\"Pressure level (hPa)\")\n",
+ "\n",
+ "ax=plt.subplot(332)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds2.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('40km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(333)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds3.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('20km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(334)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds4.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('10km', x=0.1, y=1.05)\n",
+ "ax.set_ylabel(\"Pressure level (hPa)\")\n",
+ "\n",
+ "ax=plt.subplot(335)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds5.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('5km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(336)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds6.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "plt.xticks(color='w')\n",
+ "plt.yticks(color='w')\n",
+ "plt.title('2.5km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(337)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds7.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "plt.title('10km EC', x=0.27, y=1.05)\n",
+ "ax.set_ylabel(\"Pressure level (hPa)\")\n",
+ "ax.set_xlabel(\"Hours since 2016-09-22:12UTC\")\n",
+ "\n",
+ "ax=plt.subplot(338)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds8.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('5km EC', x=0.27, y=1.05)\n",
+ "ax.set_xlabel(\"Hours since 2016-09-22:12UTC\")\n",
+ "\n",
+ "ax=plt.subplot(339)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "cf=plt.pcolor(tlist,plist,trajds9.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "plt.title('2.5km EC', x=0.27, y=1.05)\n",
+ "ax.set_xlabel(\"Hours since 2016-09-22:12UTC\")\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "\n",
+ "# colorbar\n",
+ "cbar_ax = fig.add_axes([0.82, 0.2, 0.02, 0.5]) # left,bottom,width,height\n",
+ "cb = fig.colorbar(cf, cax=cbar_ax, orientation='vertical')\n",
+ "cb.set_label('WCB parcels count', fontsize=14, labelpad=5)\n",
+ "cb.ax.tick_params(labelsize=14)\n",
+ "fig.subplots_adjust(right=0.8, wspace=0.15, hspace=0.5)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Supp_Figure_2-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Supp_Figure_2-checkpoint.ipynb
new file mode 100755
index 0000000..57198e2
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Supp_Figure_2-checkpoint.ipynb
@@ -0,0 +1,234 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import pickle\n",
+ "from scipy import stats\n",
+ "from scipy import *\n",
+ "import seaborn as sns\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import matplotlib.colors as mcolors\n",
+ "import matplotlib.cbook as cbook\n",
+ "import warnings\n",
+ "warnings.simplefilter(\"ignore\") "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Creating data for 2d histograms of WCB air parcels in terms of their 1-hour pressure changes\n",
+ "#Calculating 1-hour pressure changes for every time step from one time step forward\n",
+ "\n",
+ "ds1=xr.open_dataset('/work/bb1018/b380723/0.8/1m/outtrace2.nc')\n",
+ "ds2=xr.open_dataset('/work/bb1018/b380723/0.4/1m/outtrace2.nc')\n",
+ "ds3=xr.open_dataset('/work/bb1018/b380723/0.2/1m/outtrace2.nc')\n",
+ "ds4=xr.open_dataset('/work/bb1018/b380723/0.1convon/1m/outtrace2.nc')\n",
+ "ds5=xr.open_dataset('/work/bb1018/b380723/0.05convon/1m/outtrace2.nc')\n",
+ "ds6=xr.open_dataset('/work/bb1018/b380723/0.025convon/1m/outtrace2.nc')\n",
+ "ds7=xr.open_dataset('/work/bb1018/b380723/0.1convoff/1m/outtrace2.nc')\n",
+ "ds8=xr.open_dataset('/work/bb1018/b380723/0.05convoff/1m/outtrace2.nc')\n",
+ "ds9=xr.open_dataset('/work/bb1018/b380723/0.025convoff/1m/outtrace2.nc')\n",
+ "\n",
+ "a=xr.full_like(ds1.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " a[i,:]=-(ds1.P[i+1,:]-ds1.P[i,:])\n",
+ " \n",
+ "b=xr.full_like(ds2.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " b[i,:]=-(ds2.P[i+1,:]-ds2.P[i,:])\n",
+ " \n",
+ "c=xr.full_like(ds3.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " c[i,:]=-(ds3.P[i+1,:]-ds3.P[i,:])\n",
+ " \n",
+ "d=xr.full_like(ds4.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " d[i,:]=-(ds4.P[i+1,:]-ds4.P[i,:])\n",
+ " \n",
+ "e=xr.full_like(ds5.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " e[i,:]=-(ds5.P[i+1,:]-ds5.P[i,:])\n",
+ " \n",
+ "f=xr.full_like(ds6.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " f[i,:]=-(ds6.P[i+1,:]-ds6.P[i,:])\n",
+ " \n",
+ "g=xr.full_like(ds7.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " g[i,:]=-(ds7.P[i+1,:]-ds7.P[i,:])\n",
+ " \n",
+ "h=xr.full_like(ds8.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " h[i,:]=-(ds8.P[i+1,:]-ds8.P[i,:])\n",
+ " \n",
+ "ii=xr.full_like(ds9.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " ii[i,:]=-(ds9.P[i+1,:]-ds9.P[i,:])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 936x648 with 10 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#plotting\n",
+ "\n",
+ "fig=plt.figure(figsize=(13,9))\n",
+ "plt.rcParams.update({'font.size': 14})\n",
+ "ax=plt.subplots_adjust(hspace = 0.5, wspace=0.2)\n",
+ "\n",
+ "\n",
+ "ax=plt.subplot(331) \n",
+ "plt.hist2d(ds1.P[1:-1].values.ravel(), a[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "plt.ylabel(\"ΔP_1h (hPa)\")\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('80km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(332) \n",
+ "plt.hist2d(ds2.P[1:-1].values.ravel(), b[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('40km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(333) \n",
+ "plt.hist2d(ds3.P[1:-1].values.ravel(), c[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('20km',x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(334) \n",
+ "plt.hist2d(ds4.P[1:-1].values.ravel(), d[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "plt.ylabel(\"ΔP_1h (hPa)\")\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('10km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(335) \n",
+ "plt.hist2d(ds5.P[1:-1].values.ravel(), e[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('5km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(336) \n",
+ "plt.hist2d(ds6.P[1:-1].values.ravel(), f[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('2.5km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(337) \n",
+ "plt.hist2d(ds7.P[1:-1].values.ravel(), g[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "plt.ylabel(\"ΔP_1h (hPa)\")\n",
+ "plt.xlabel(\"P at start of ΔP_1h (hPa)\")\n",
+ "plt.title('10km EC', x=0.25, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(338) \n",
+ "cf=plt.hist2d(ds8.P[1:-1].values.ravel(), h[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "plt.xlabel(\"P at start of ΔP_1h (hPa)\")\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('5km EC', x=0.25, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(339) \n",
+ "plt.hist2d(ds9.P[1:-1].values.ravel(), ii[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "plt.xlabel(\"P at start of ΔP_1h (hPa)\")\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('2.5km EC', x=0.25, y=1.05)\n",
+ "\n",
+ "# colorbar\n",
+ "cbar_ax = fig.add_axes([0.94, 0.25, 0.015, 0.5]) # left,bottom,width,height\n",
+ "clb=plt.colorbar(cax=cbar_ax, orientation='vertical')\n",
+ "clb.set_label('WCB parcels count')\n",
+ "plt.savefig('colorbar_delp1hvsP.png', bbox_inches = 'tight', dpi=600)\n",
+ "\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/scripts/plotting_scripts/.ipynb_checkpoints/Supp_Figure_3-checkpoint.ipynb b/scripts/plotting_scripts/.ipynb_checkpoints/Supp_Figure_3-checkpoint.ipynb
new file mode 100644
index 0000000..8bf1abd
--- /dev/null
+++ b/scripts/plotting_scripts/.ipynb_checkpoints/Supp_Figure_3-checkpoint.ipynb
@@ -0,0 +1,126 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#importing libraries\n",
+ "import xarray as xr\n",
+ "import pickle\n",
+ "from scipy import stats\n",
+ "from scipy import *\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import warnings\n",
+ "warnings.simplefilter(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#loading dataset containing DHR averaged over trajectories, this trajectory run is based on input data regridded to 40km/ 0.4 degree\n",
+ "with open(\"/work/bb1018/b380723/figures/dhrcomp_1m/newcal_0.4/alltrajtot.pkl\",\"rb\") as f:\n",
+ " alltrajtot = pickle.load(f)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 288x1368 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#defining color dictionary for plotting\n",
+ "\n",
+ "def colordictionary():\n",
+ " # manually defined colors\n",
+ " mymaroon= np.array([128, 0, 0])/255\n",
+ " myred = np.array([230, 25, 75])/255\n",
+ " myorange= np.array([245, 130, 48])/255\n",
+ " mymagenta=np.array([240, 50, 230 ])/255\n",
+ " myolive = np.array([128, 128, 0])/255\n",
+ " myteal = np.array([ 0, 128, 128])/255\n",
+ " myblue = np.array([ 0, 130, 200])/255\n",
+ " mynavy = np.array([ 0, 0, 128])/255\n",
+ "\n",
+ " return {'80km': mymaroon, '40km': myred, '20km': myorange, '10km': myolive, '5km': myteal, '2km': myblue}\n",
+ "colors=colordictionary()\n",
+ "\n",
+ "#plotting\n",
+ "\n",
+ "fig=plt.figure(figsize=(4,19))\n",
+ "plt.rcParams.update({'font.size': 13})\n",
+ "plt.subplots_adjust(hspace = 0.7)\n",
+ "\n",
+ "ax = fig.add_subplot(611)\n",
+ "ax.plot(alltrajtot[0][0], alltrajtot[0][1], linewidth=1, marker='o', label='80km', color=colors['80km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[1][0], alltrajtot[1][1], linewidth=1, marker='o', label='40km', color=colors['40km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[2][0], alltrajtot[2][1], linewidth=1, marker='o', label='20km', color=colors['20km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[3][0], alltrajtot[3][1], linewidth=1, marker='o', label='10km', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[4][0], alltrajtot[4][1], linewidth=1, marker='o', label='5km', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[5][0], alltrajtot[5][1], linewidth=1, marker='o', label='2.5km', color=colors['2km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[6][0], alltrajtot[6][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[7][0], alltrajtot[7][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[8][0], alltrajtot[8][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "leg = plt.legend(loc='lower right', bbox_to_anchor=(1.1,0.01), fontsize=10, handlelength=0, markerscale=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ "\n",
+ "plt.xlim(200,1007.5)\n",
+ "plt.gca().invert_xaxis()\n",
+ "yticks=[0,2,4,6,8]\n",
+ "ax.set_yticks(yticks)\n",
+ "plt.ylim(-0.1,8)\n",
+ "plt.xlabel(\"Pressure level (hPa)\")\n",
+ "plt.title('total (regridded to 40km)',x=0.35, y=1.05)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.1))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/Figure_1.ipynb b/scripts/plotting_scripts/Figure_1.ipynb
new file mode 100755
index 0000000..f830ff5
--- /dev/null
+++ b/scripts/plotting_scripts/Figure_1.ipynb
@@ -0,0 +1,205 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "# load packages\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib as mpl\n",
+ "import xarray as xr\n",
+ "import pickle\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "import cartopy.mpl.ticker as cticker\n",
+ "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
+ "import matplotlib.ticker as mticker\n",
+ "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
+ "from scipy.ndimage.filters import gaussian_filter"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "<ipython-input-3-3b277d79210a>:69: MatplotlibDeprecationWarning: The 'extend' parameter to Colorbar has no effect because it is overridden by the mappable; it is deprecated since 3.3 and will be removed two minor releases later.\n",
+ " cb = fig.colorbar(cf, cax=cbar_ax, orientation='vertical', ticks=clevs, extend='')\n",
+ "<ipython-input-3-3b277d79210a>:109: MatplotlibDeprecationWarning: The 'extend' parameter to Colorbar has no effect because it is overridden by the mappable; it is deprecated since 3.3 and will be removed two minor releases later.\n",
+ " cb = fig.colorbar(cf, cax=cbar_ax, orientation='vertical', ticks=clevs, extend='')\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 1440x504 with 8 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "## plot equivalent potential temperature and isentropic potential vorticity at 24h interval\n",
+ "\n",
+ "#Loading mean sea level pressure data\n",
+ "ipath='/work/bb1018/b380723/0.025convoff/1m/other/'\n",
+ "file='mslp.nc'\n",
+ "ds=xr.open_dataset(ipath+file)\n",
+ "\n",
+ "timesteps = ['2016-09-22T12:00', '2016-09-23T12:00', '2016-09-24T12:00']\n",
+ "\n",
+ "#setting map\n",
+ "proj = ccrs.PlateCarree()\n",
+ "fig, ax = plt.subplots(2, 3, figsize=(20,7), subplot_kw=dict(projection=proj))\n",
+ "ax = ax.reshape(-1)\n",
+ "for i in range(ax.shape[0]):\n",
+ " ax[i].coastlines(rasterized=True)\n",
+ " ax[i].set_aspect('auto')\n",
+ " ax[i].tick_params(labelsize=16)\n",
+ " ax[i].set_extent([-50, 10, 35, 70], ccrs.PlateCarree())\n",
+ " \n",
+ " # set xticks and yticks for latitudes and longitudes\n",
+ " # xaxis: longitudes\n",
+ " if i in [3, 4, 5]:\n",
+ " ax[i].set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ " lon_formatter = LongitudeFormatter(#zero_direction_label=True,\n",
+ " degree_symbol='',\n",
+ " dateline_direction_label=True)\n",
+ " ax[i].xaxis.set_major_formatter(lon_formatter)\n",
+ " del lon_formatter\n",
+ " # yaxis: latitudes\n",
+ " if i in [0, 3]:\n",
+ " ax[i].set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ " lat_formatter = LatitudeFormatter(degree_symbol='')\n",
+ " ax[i].yaxis.set_major_formatter(lat_formatter)\n",
+ " del lat_formatter\n",
+ " \n",
+ "\n",
+ "fig.canvas.draw()\n",
+ "fig.tight_layout()\n",
+ "\n",
+ "#mslp contour\n",
+ "for i in [0,1,2]:\n",
+ " clevs=np.arange(960,1020,5)\n",
+ " cf = ax[i].contour(ds.lon, ds.lat,(ds['pres_msl']/100).sel(time=timesteps[i]),clevs,colors='maroon',linewidths=0.3,extend='both')\n",
+ " plt.clabel(cf, fmt='%d', fontsize=10, inline=1, inline_spacing=5)\n",
+ " ax[i].set_title(timesteps[i][0:10] + ' ' + timesteps[i][11:13] + 'UTC',loc='center',fontsize=22)\n",
+ "ax[0].set_title('(a)', loc='left', fontsize=22)\n",
+ "ax[1].set_title('(b)', loc='left', fontsize=22)\n",
+ "ax[2].set_title('(c)', loc='left', fontsize=22)\n",
+ "\n",
+ "#theta (equivalent potential temperature at 850hPa)\n",
+ "thetae=[]\n",
+ "for i in [22,23,24]:\n",
+ " with open(ipath+'ap2pl_thetae'+str(i)+'.pkl',\"rb\") as f:\n",
+ " thetae.append(pickle.load(f))\n",
+ "\n",
+ "#lat-lon information for plotting\n",
+ "data=xr.open_dataset(ipath+'input1.nc')\n",
+ "lon=data.lon\n",
+ "lat=data.lat\n",
+ "del data\n",
+ "\n",
+ "#plotting\n",
+ "for i in [0,1,2]:\n",
+ " clevs=np.arange(260,390,5)\n",
+ " cf=ax[i].contourf(lon,lat,thetae[i].squeeze(axis=0),clevs, cmap='coolwarm')\n",
+ "\n",
+ "#colorbar for theta\n",
+ "cbar_ax = fig.add_axes([0.82, 0.57, 0.01, 0.41]) # left,bottom,width,height\n",
+ "clevs=np.arange(260,390,15)\n",
+ "cb = fig.colorbar(cf, cax=cbar_ax, orientation='vertical', ticks=clevs, extend='')\n",
+ "cb.set_label('THE (K)', fontsize=15, labelpad=5)\n",
+ "cb.ax.tick_params(labelsize=14)\n",
+ "fig.subplots_adjust(right=0.8, wspace=0.1, hspace=0.2)\n",
+ "del cbar_ax, cb, cf, clevs\n",
+ "\n",
+ "#cyclone location mark \n",
+ "data=[]\n",
+ "ds_final_coord=[]\n",
+ "for i in [0,1,2]:\n",
+ " data.append(ds['pres_msl'].sel(time=timesteps[i]).sel(lat=slice(45, 62), lon=slice(-50,-18)))\n",
+ " ds_final_coord.append(data[i].where(data[i]==data[i].min(), drop=True))\n",
+ " ax[i].plot(ds_final_coord[i].lon, ds_final_coord[i].lat, marker='x', markeredgecolor='blue', markersize=14, mew=3)\n",
+ " \n",
+ " \n",
+ "#Potential vorticity (PV) on the 320 K isentrope\n",
+ "ipath='/work/bb1018/b380723/0.025convoff/1m/'\n",
+ "ipv=[]\n",
+ "for i in [22,23,24,22,23,24]:\n",
+ " with open(ipath+'ipv'+str(i)+'.pkl',\"rb\") as f:\n",
+ " ipv.append(pickle.load(f))\n",
+ "\n",
+ "cmap = mpl.colors.ListedColormap([\"purple\", \"darkmagenta\", \"magenta\", \"royalblue\", \"cornflowerblue\", \"lightskyblue\", \"lightsteelblue\", \"navajowhite\", \"burlywood\", \"darkorange\", \"crimson\", \"coral\", \"gold\", \"yellow\", \"lightgoldenrodyellow\", \"lawngreen\", \"forestgreen\", \"seagreen\"])\n",
+ "norm = mpl.colors.BoundaryNorm([-10,-5,-2,-1.5,-1,-0.5,0,0.5,1,1.5,2,3,4,6,8,10.5,13,24], cmap.N)\n",
+ "clevs=[-5,-2,-1.5,-1,-0.5,0,0.5,1,1.5,2,3,4,6,8,10.5,13,24]\n",
+ "\n",
+ "#lat-lon information for plotting\n",
+ "ds=xr.open_dataset(ipath+'input1.nc')\n",
+ "\n",
+ "#plotting\n",
+ "for i in [3,4,5]:\n",
+ " cf=ax[i].contourf(ds.lon[:-1],ds.lat[:-1],ipv[i]/1e-6,clevs,cmap=cmap,norm=norm,extend='both',transform=ccrs.PlateCarree()) #RdBu_r\n",
+ "\n",
+ "ax[3].set_title('(d)', loc='left', fontsize=22)\n",
+ "ax[4].set_title('(e)', loc='left', fontsize=22)\n",
+ "ax[5].set_title('(f)', loc='left', fontsize=22)\n",
+ "\n",
+ "# colorbar for PV\n",
+ "cbar_ax = fig.add_axes([0.82, 0.07, 0.01, 0.41]) # left,bottom,width,height\n",
+ "clevs=[-2,-1,0,1,2,4,8,13]\n",
+ "cb = fig.colorbar(cf, cax=cbar_ax, orientation='vertical', ticks=clevs, extend='')\n",
+ "cb.set_label('PV (PVU)', fontsize=15, labelpad=5)\n",
+ "cb.ax.tick_params(labelsize=14)\n",
+ "fig.subplots_adjust(right=0.8, wspace=0.1, hspace=0.2)\n",
+ "del cbar_ax, cb, cf, clevs\n",
+ "\n",
+ "plt.show(fig)\n",
+ "plt.close(fig)\n",
+ "del fig, ax, proj\n",
+ "del timesteps"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 unstable (using the module python3/unstable)",
+ "language": "python",
+ "name": "python3_unstable"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/scripts/plotting_scripts/Figure_10.ipynb b/scripts/plotting_scripts/Figure_10.ipynb
new file mode 100644
index 0000000..727983e
--- /dev/null
+++ b/scripts/plotting_scripts/Figure_10.ipynb
@@ -0,0 +1,468 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import pickle\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#########mslp drop b/w 3-21h from native_filtered mslp coordinates###########\n",
+ "\n",
+ "####1m###############################################################################\n",
+ "\n",
+ "path='/mnt/lustre01/pf/b/b380459/wcb-vladiana/'\n",
+ "pres1_1m=xr.open_dataset(path+'nawdexnwp-80km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres2_1m=xr.open_dataset(path+'nawdexnwp-40km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres3_1m=xr.open_dataset(path+'nawdexnwp-20km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres4_1m=xr.open_dataset(path+'nawdexnwp-10km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres5_1m=xr.open_dataset(path+'nawdexnwp-5km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres6_1m=xr.open_dataset(path+'nawdexnwp-2km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres7_1m=xr.open_dataset(path+'nawdexnwp-10km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres8_1m=xr.open_dataset(path+'nawdexnwp-5km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres9_1m=xr.open_dataset(path+'nawdexnwp-2km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "\n",
+ "y1=pres1_1m['pres_msl_min_filtered'][3]-pres1_1m['pres_msl_min_filtered'][21]\n",
+ "y2=pres2_1m['pres_msl_min_filtered'][3]-pres2_1m['pres_msl_min_filtered'][21]\n",
+ "y3=pres3_1m['pres_msl_min_filtered'][3]-pres3_1m['pres_msl_min_filtered'][21]\n",
+ "y4=pres4_1m['pres_msl_min_filtered'][3]-pres4_1m['pres_msl_min_filtered'][21]\n",
+ "y5=pres5_1m['pres_msl_min_filtered'][3]-pres5_1m['pres_msl_min_filtered'][21]\n",
+ "y6=pres6_1m['pres_msl_min_filtered'][3]-pres6_1m['pres_msl_min_filtered'][21]\n",
+ "y7=pres7_1m['pres_msl_min_filtered'][3]-pres7_1m['pres_msl_min_filtered'][21]\n",
+ "y8=pres8_1m['pres_msl_min_filtered'][3]-pres8_1m['pres_msl_min_filtered'][21]\n",
+ "y9=pres9_1m['pres_msl_min_filtered'][3]-pres9_1m['pres_msl_min_filtered'][21]\n",
+ "\n",
+ "y=[y1/100,y2/100,y3/100,y4/100,y5/100,y6/100,y7/100,y8/100,y9/100]\n",
+ "\n",
+ "\n",
+ "\n",
+ "############################################2m############################################\n",
+ "\n",
+ "pres1_2m=xr.open_dataset(path+'nawdexnwp-80km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres2_2m=xr.open_dataset(path+'nawdexnwp-40km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres3_2m=xr.open_dataset(path+'nawdexnwp-20km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres4_2m=xr.open_dataset(path+'nawdexnwp-10km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres5_2m=xr.open_dataset(path+'nawdexnwp-5km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres6_2m=xr.open_dataset(path+'nawdexnwp-2km-mis-0004_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres7_2m=xr.open_dataset(path+'nawdexnwp-10km-mis-0004_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres8_2m=xr.open_dataset(path+'nawdexnwp-5km-mis-0004_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres9_2m=xr.open_dataset(path+'nawdexnwp-2km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "\n",
+ "\n",
+ "y1=pres1_2m['pres_msl_min_filtered'][3]-pres1_2m['pres_msl_min_filtered'][21]\n",
+ "y2=pres2_2m['pres_msl_min_filtered'][3]-pres2_2m['pres_msl_min_filtered'][21]\n",
+ "y3=pres3_2m['pres_msl_min_filtered'][3]-pres3_2m['pres_msl_min_filtered'][21]\n",
+ "y4=pres4_2m['pres_msl_min_filtered'][3]-pres4_2m['pres_msl_min_filtered'][21]\n",
+ "y5=pres5_2m['pres_msl_min_filtered'][3]-pres5_2m['pres_msl_min_filtered'][21]\n",
+ "y6=pres6_2m['pres_msl_min_filtered'][3]-pres6_2m['pres_msl_min_filtered'][21]\n",
+ "y7=pres7_2m['pres_msl_min_filtered'][3]-pres7_2m['pres_msl_min_filtered'][21]\n",
+ "y8=pres8_2m['pres_msl_min_filtered'][3]-pres8_2m['pres_msl_min_filtered'][21]\n",
+ "y9=pres9_2m['pres_msl_min_filtered'][3]-pres9_2m['pres_msl_min_filtered'][21]\n",
+ "\n",
+ "y2m=[y1/100,y2/100,y3/100,y4/100,y5/100,y6/100,y7/100,y8/100,y9/100]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "###############loading dhr sum over 3-21h##################################################\n",
+ "\n",
+ "#########################1m#########################\n",
+ "\n",
+ "\n",
+ "ds1=xr.open_dataset('../../0.8/1m/outtrace3.nc')\n",
+ "ds2=xr.open_dataset('../../0.8/1m/outtrace3box1.nc')\n",
+ "ds3=xr.open_dataset('../../0.8/1m/outtrace3box2.nc')\n",
+ "ds4=xr.open_dataset('../../0.8/1m/outtrace3box3.nc')\n",
+ "ds5=xr.open_dataset('../../0.8/1m/outtrace3box4.nc')\n",
+ "ds6=xr.open_dataset('../../0.4/1m/outtrace3.nc')\n",
+ "ds7=xr.open_dataset('../../0.4/1m/outtrace3box1.nc')\n",
+ "ds8=xr.open_dataset('../../0.4/1m/outtrace3box2.nc')\n",
+ "ds9=xr.open_dataset('../../0.4/1m/outtrace3box3.nc')\n",
+ "ds10=xr.open_dataset('../../0.4/1m/outtrace3box4.nc')\n",
+ "ds11=xr.open_dataset('../../0.2/1m/outtrace3.nc')\n",
+ "ds12=xr.open_dataset('../../0.2/1m/outtrace3box1.nc')\n",
+ "ds13=xr.open_dataset('../../0.2/1m/outtrace3box2.nc')\n",
+ "ds14=xr.open_dataset('../../0.2/1m/outtrace3box3.nc')\n",
+ "ds15=xr.open_dataset('../../0.2/1m/outtrace3box4.nc')\n",
+ "ds16=xr.open_dataset('../../0.1convon/1m/outtrace3.nc')\n",
+ "ds17=xr.open_dataset('../../0.1convon/1m/outtrace3box1.nc')\n",
+ "ds18=xr.open_dataset('../../0.1convon/1m/outtrace3box2.nc')\n",
+ "ds19=xr.open_dataset('../../0.1convon/1m/outtrace3box3.nc')\n",
+ "ds20=xr.open_dataset('../../0.1convon/1m/outtrace3box4.nc')\n",
+ "ds21=xr.open_dataset('../../0.1convoff/1m/outtrace3.nc')\n",
+ "ds22=xr.open_dataset('../../0.1convoff/1m/outtrace3box1.nc')\n",
+ "ds23=xr.open_dataset('../../0.1convoff/1m/outtrace3box2.nc')\n",
+ "ds24=xr.open_dataset('../../0.1convoff/1m/outtrace3box3.nc')\n",
+ "ds25=xr.open_dataset('../../0.1convoff/1m/outtrace3box4.nc')\n",
+ "ds26=xr.open_dataset('../../0.05convon/1m/outtrace3.nc')\n",
+ "ds27=xr.open_dataset('../../0.05convon/1m/outtrace3box1.nc')\n",
+ "ds28=xr.open_dataset('../../0.05convon/1m/outtrace3box2.nc')\n",
+ "ds29=xr.open_dataset('../../0.05convon/1m/outtrace3box3.nc')\n",
+ "ds30=xr.open_dataset('../../0.05convon/1m/outtrace3box4.nc')\n",
+ "ds31=xr.open_dataset('../../0.05convoff/1m/outtrace3.nc')\n",
+ "ds32=xr.open_dataset('../../0.05convoff/1m/outtrace3box1.nc')\n",
+ "ds33=xr.open_dataset('../../0.05convoff/1m/outtrace3box2.nc')\n",
+ "ds34=xr.open_dataset('../../0.05convoff/1m/outtrace3box3.nc')\n",
+ "ds35=xr.open_dataset('../../0.05convoff/1m/outtrace3box4.nc')\n",
+ "ds36=xr.open_dataset('../../0.025convon/1m/outtrace3.nc')\n",
+ "ds37=xr.open_dataset('../../0.025convon/1m/outtrace3box1.nc')\n",
+ "ds38=xr.open_dataset('../../0.025convon/1m/outtrace3box2.nc')\n",
+ "ds39=xr.open_dataset('../../0.025convon/1m/outtrace3box3.nc')\n",
+ "ds40=xr.open_dataset('../../0.025convon/1m/outtrace3box4.nc')\n",
+ "ds41=xr.open_dataset('../../0.025convoff/1m/outtrace3.nc')\n",
+ "ds42=xr.open_dataset('../../0.025convoff/1m/outtrace3box1.nc')\n",
+ "ds43=xr.open_dataset('../../0.025convoff/1m/outtrace3box2.nc')\n",
+ "ds44=xr.open_dataset('../../0.025convoff/1m/outtrace3box3.nc')\n",
+ "ds45=xr.open_dataset('../../0.025convoff/1m/outtrace3box4.nc')\n",
+ "\n",
+ "\n",
+ "x1=['80', '40', '20', '10', '5', '2.5']\n",
+ "x2=['10_convoff', '5_convoff', '2.5_convoff']\n",
+ "trajtot=[ds1['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds6['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds11['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds16['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds26['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds36['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj1=[ds2['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds7['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds12['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds17['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds27['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds37['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2=[ds3['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds8['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds13['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds18['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds28['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds38['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj3=[ds4['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds9['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds14['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds19['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds29['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds39['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj4=[0, ds10['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds15['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds20['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds30['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds40['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "\n",
+ "trajtotconvoff=[ds21['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds31['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds41['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj1convoff=[ds22['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds32['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds42['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2convoff=[ds23['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds33['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds43['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj3convoff=[ds24['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds34['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds44['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj4convoff=[ds25['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds35['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds45['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "\n",
+ "\n",
+ "###############################2m###########################################################################\n",
+ "\n",
+ "\n",
+ "ds1=xr.open_dataset('../../0.8/2m/outtrace3.nc')\n",
+ "ds2=xr.open_dataset('../../0.8/2m/outtrace3box1.nc')\n",
+ "ds3=xr.open_dataset('../../0.8/2m/outtrace3box2.nc')\n",
+ "ds4=xr.open_dataset('../../0.8/2m/outtrace3box3.nc')\n",
+ "ds5=xr.open_dataset('../../0.8/2m/outtrace3box4.nc')\n",
+ "ds6=xr.open_dataset('../../0.4/2m/outtrace3.nc')\n",
+ "ds7=xr.open_dataset('../../0.4/2m/outtrace3box1.nc')\n",
+ "ds8=xr.open_dataset('../../0.4/2m/outtrace3box2.nc')\n",
+ "ds9=xr.open_dataset('../../0.4/2m/outtrace3box3.nc')\n",
+ "ds10=xr.open_dataset('../../0.4/2m/outtrace3box4.nc')\n",
+ "ds11=xr.open_dataset('../../0.2/2m/outtrace3.nc')\n",
+ "ds12=xr.open_dataset('../../0.2/2m/outtrace3box1.nc')\n",
+ "ds13=xr.open_dataset('../../0.2/2m/outtrace3box2.nc')\n",
+ "ds14=xr.open_dataset('../../0.2/2m/outtrace3box3.nc')\n",
+ "ds15=xr.open_dataset('../../0.2/2m/outtrace3box4.nc')\n",
+ "ds16=xr.open_dataset('../../0.1convon/2m/outtrace3.nc')\n",
+ "ds17=xr.open_dataset('../../0.1convon/2m/outtrace3box1.nc')\n",
+ "ds18=xr.open_dataset('../../0.1convon/2m/outtrace3box2.nc')\n",
+ "ds19=xr.open_dataset('../../0.1convon/2m/outtrace3box3.nc')\n",
+ "ds20=xr.open_dataset('../../0.1convon/2m/outtrace3box4.nc')\n",
+ "ds21=xr.open_dataset('../../0.1convoff/2m/outtrace3.nc')\n",
+ "ds22=xr.open_dataset('../../0.1convoff/2m/outtrace3box1.nc')\n",
+ "ds23=xr.open_dataset('../../0.1convoff/2m/outtrace3box2.nc')\n",
+ "ds24=xr.open_dataset('../../0.1convoff/2m/outtrace3box3.nc')\n",
+ "ds25=xr.open_dataset('../../0.1convoff/2m/outtrace3box4.nc')\n",
+ "ds26=xr.open_dataset('../../0.05convon/2m/outtrace3.nc')\n",
+ "ds27=xr.open_dataset('../../0.05convon/2m/outtrace3box1.nc')\n",
+ "ds28=xr.open_dataset('../../0.05convon/2m/outtrace3box2.nc')\n",
+ "ds29=xr.open_dataset('../../0.05convon/2m/outtrace3box3.nc')\n",
+ "ds30=xr.open_dataset('../../0.05convon/2m/outtrace3box4.nc')\n",
+ "ds31=xr.open_dataset('../../0.05convoff/2m/outtrace3.nc')\n",
+ "ds32=xr.open_dataset('../../0.05convoff/2m/outtrace3box1.nc')\n",
+ "ds33=xr.open_dataset('../../0.05convoff/2m/outtrace3box2.nc')\n",
+ "ds34=xr.open_dataset('../../0.05convoff/2m/outtrace3box3.nc')\n",
+ "ds35=xr.open_dataset('../../0.05convoff/2m/outtrace3box4.nc')\n",
+ "ds36=xr.open_dataset('../../0.025convon/2m/outtrace3.nc')\n",
+ "ds37=xr.open_dataset('../../0.025convon/2m/outtrace3box1.nc')\n",
+ "ds38=xr.open_dataset('../../0.025convon/2m/outtrace3box2.nc')\n",
+ "ds39=xr.open_dataset('../../0.025convon/2m/outtrace3box3.nc')\n",
+ "ds40=xr.open_dataset('../../0.025convon/2m/outtrace3box4.nc')\n",
+ "ds41=xr.open_dataset('../../0.025convoff/2m/outtrace3.nc')\n",
+ "ds42=xr.open_dataset('../../0.025convoff/2m/outtrace3box1.nc')\n",
+ "ds43=xr.open_dataset('../../0.025convoff/2m/outtrace3box2.nc')\n",
+ "ds44=xr.open_dataset('../../0.025convoff/2m/outtrace3box3.nc')\n",
+ "ds45=xr.open_dataset('../../0.025convoff/2m/outtrace3box4.nc')\n",
+ "\n",
+ "\n",
+ "x1=['80', '40', '20', '10', '5', '2.5']\n",
+ "x2=['10_convoff', '5_convoff', '2.5_convoff']\n",
+ "traj2mtot=[ds1['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds6['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds11['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds16['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds26['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds36['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m1=[ds2['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds7['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds12['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds17['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds27['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds37['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m2=[ds3['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds8['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds13['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds18['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds28['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds38['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m3=[ds4['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds9['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds14['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds19['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds29['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds39['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m4=[0, ds10['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds15['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds20['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds30['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds40['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "\n",
+ "traj2mtotconvoff=[ds21['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds31['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds41['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m1convoff=[ds22['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds32['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds42['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m2convoff=[ds23['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds33['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds43['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m3convoff=[ds24['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds34['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds44['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]\n",
+ "traj2m4convoff=[ds25['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds35['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True'), ds45['DHR_total'][3:22].sum('ntim',skipna='True').sum('ntra',skipna='True')]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 576x1728 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "def colordictionary():\n",
+ " # manually defined colors\n",
+ " mymaroon= np.array([128, 0, 0])/255\n",
+ " myred = np.array([230, 25, 75])/255\n",
+ " myorange= np.array([245, 130, 48])/255\n",
+ " mymagenta=np.array([240, 50, 230 ])/255\n",
+ " myolive = np.array([128, 128, 0])/255\n",
+ " myteal = np.array([ 0, 128, 128])/255\n",
+ " myblue = np.array([ 0, 130, 200])/255\n",
+ " mynavy = np.array([ 0, 0, 128])/255\n",
+ "\n",
+ " return {'80km': mymaroon, '40km': myred, '20km': myorange, '10km': myolive, '5km': myteal, '2km': myblue}\n",
+ "colors=colordictionary()\n",
+ "###########################################\n",
+ "\n",
+ "###############loading dhr sum over 3-21h##################################################\n",
+ "\n",
+ "#########################1m#########################\n",
+ "\n",
+ "\n",
+ "ds1=xr.open_dataset('../../0.8/1m/outtrace3.nc')\n",
+ "ds2=xr.open_dataset('../../0.8/1m/outtrace3box1.nc')\n",
+ "ds3=xr.open_dataset('../../0.8/1m/outtrace3box2.nc')\n",
+ "ds4=xr.open_dataset('../../0.8/1m/outtrace3box3.nc')\n",
+ "ds5=xr.open_dataset('../../0.8/1m/outtrace3box4.nc')\n",
+ "ds6=xr.open_dataset('../../0.4/1m/outtrace3.nc')\n",
+ "ds7=xr.open_dataset('../../0.4/1m/outtrace3box1.nc')\n",
+ "ds8=xr.open_dataset('../../0.4/1m/outtrace3box2.nc')\n",
+ "ds9=xr.open_dataset('../../0.4/1m/outtrace3box3.nc')\n",
+ "ds10=xr.open_dataset('../../0.4/1m/outtrace3box4.nc')\n",
+ "ds11=xr.open_dataset('../../0.2/1m/outtrace3.nc')\n",
+ "ds12=xr.open_dataset('../../0.2/1m/outtrace3box1.nc')\n",
+ "ds13=xr.open_dataset('../../0.2/1m/outtrace3box2.nc')\n",
+ "ds14=xr.open_dataset('../../0.2/1m/outtrace3box3.nc')\n",
+ "ds15=xr.open_dataset('../../0.2/1m/outtrace3box4.nc')\n",
+ "ds16=xr.open_dataset('../../0.1convon/1m/outtrace3.nc')\n",
+ "ds17=xr.open_dataset('../../0.1convon/1m/outtrace3box1.nc')\n",
+ "ds18=xr.open_dataset('../../0.1convon/1m/outtrace3box2.nc')\n",
+ "ds19=xr.open_dataset('../../0.1convon/1m/outtrace3box3.nc')\n",
+ "ds20=xr.open_dataset('../../0.1convon/1m/outtrace3box4.nc')\n",
+ "ds21=xr.open_dataset('../../0.1convoff/1m/outtrace3.nc')\n",
+ "ds22=xr.open_dataset('../../0.1convoff/1m/outtrace3box1.nc')\n",
+ "ds23=xr.open_dataset('../../0.1convoff/1m/outtrace3box2.nc')\n",
+ "ds24=xr.open_dataset('../../0.1convoff/1m/outtrace3box3.nc')\n",
+ "ds25=xr.open_dataset('../../0.1convoff/1m/outtrace3box4.nc')\n",
+ "ds26=xr.open_dataset('../../0.05convon/1m/outtrace3.nc')\n",
+ "ds27=xr.open_dataset('../../0.05convon/1m/outtrace3box1.nc')\n",
+ "ds28=xr.open_dataset('../../0.05convon/1m/outtrace3box2.nc')\n",
+ "ds29=xr.open_dataset('../../0.05convon/1m/outtrace3box3.nc')\n",
+ "ds30=xr.open_dataset('../../0.05convon/1m/outtrace3box4.nc')\n",
+ "ds31=xr.open_dataset('../../0.05convoff/1m/outtrace3.nc')\n",
+ "ds32=xr.open_dataset('../../0.05convoff/1m/outtrace3box1.nc')\n",
+ "ds33=xr.open_dataset('../../0.05convoff/1m/outtrace3box2.nc')\n",
+ "ds34=xr.open_dataset('../../0.05convoff/1m/outtrace3box3.nc')\n",
+ "ds35=xr.open_dataset('../../0.05convoff/1m/outtrace3box4.nc')\n",
+ "ds36=xr.open_dataset('../../0.025convon/1m/outtrace3.nc')\n",
+ "ds37=xr.open_dataset('../../0.025convon/1m/outtrace3box1.nc')\n",
+ "ds38=xr.open_dataset('../../0.025convon/1m/outtrace3box2.nc')\n",
+ "ds39=xr.open_dataset('../../0.025convon/1m/outtrace3box3.nc')\n",
+ "ds40=xr.open_dataset('../../0.025convon/1m/outtrace3box4.nc')\n",
+ "ds41=xr.open_dataset('../../0.025convoff/1m/outtrace3.nc')\n",
+ "ds42=xr.open_dataset('../../0.025convoff/1m/outtrace3box1.nc')\n",
+ "ds43=xr.open_dataset('../../0.025convoff/1m/outtrace3box2.nc')\n",
+ "ds44=xr.open_dataset('../../0.025convoff/1m/outtrace3box3.nc')\n",
+ "ds45=xr.open_dataset('../../0.025convoff/1m/outtrace3box4.nc')\n",
+ "\n",
+ "\n",
+ "x1=['80', '40', '20', '10', '5', '2.5']\n",
+ "x2=['10_convoff', '5_convoff', '2.5_convoff']\n",
+ "trajtot=[ds1['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds6['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds11['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds16['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds26['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds36['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj1=[ds2['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds7['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds12['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds17['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds27['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds37['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2=[ds3['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds8['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds13['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds18['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds28['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds38['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj3=[ds4['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds9['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds14['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds19['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds29['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds39['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj4=[0, ds10['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds15['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds20['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds30['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds40['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "\n",
+ "trajtotconvoff=[ds21['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds31['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds41['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj1convoff=[ds22['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds32['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds42['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2convoff=[ds23['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds33['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds43['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj3convoff=[ds24['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds34['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds44['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj4convoff=[ds25['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds35['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds45['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "\n",
+ "\n",
+ "###############################2m###########################################################################\n",
+ "\n",
+ "\n",
+ "ds1=xr.open_dataset('../../0.8/2m/outtrace3.nc')\n",
+ "ds2=xr.open_dataset('../../0.8/2m/outtrace3box1.nc')\n",
+ "ds3=xr.open_dataset('../../0.8/2m/outtrace3box2.nc')\n",
+ "ds4=xr.open_dataset('../../0.8/2m/outtrace3box3.nc')\n",
+ "ds5=xr.open_dataset('../../0.8/2m/outtrace3box4.nc')\n",
+ "ds6=xr.open_dataset('../../0.4/2m/outtrace3.nc')\n",
+ "ds7=xr.open_dataset('../../0.4/2m/outtrace3box1.nc')\n",
+ "ds8=xr.open_dataset('../../0.4/2m/outtrace3box2.nc')\n",
+ "ds9=xr.open_dataset('../../0.4/2m/outtrace3box3.nc')\n",
+ "ds10=xr.open_dataset('../../0.4/2m/outtrace3box4.nc')\n",
+ "ds11=xr.open_dataset('../../0.2/2m/outtrace3.nc')\n",
+ "ds12=xr.open_dataset('../../0.2/2m/outtrace3box1.nc')\n",
+ "ds13=xr.open_dataset('../../0.2/2m/outtrace3box2.nc')\n",
+ "ds14=xr.open_dataset('../../0.2/2m/outtrace3box3.nc')\n",
+ "ds15=xr.open_dataset('../../0.2/2m/outtrace3box4.nc')\n",
+ "ds16=xr.open_dataset('../../0.1convon/2m/outtrace3.nc')\n",
+ "ds17=xr.open_dataset('../../0.1convon/2m/outtrace3box1.nc')\n",
+ "ds18=xr.open_dataset('../../0.1convon/2m/outtrace3box2.nc')\n",
+ "ds19=xr.open_dataset('../../0.1convon/2m/outtrace3box3.nc')\n",
+ "ds20=xr.open_dataset('../../0.1convon/2m/outtrace3box4.nc')\n",
+ "ds21=xr.open_dataset('../../0.1convoff/2m/outtrace3.nc')\n",
+ "ds22=xr.open_dataset('../../0.1convoff/2m/outtrace3box1.nc')\n",
+ "ds23=xr.open_dataset('../../0.1convoff/2m/outtrace3box2.nc')\n",
+ "ds24=xr.open_dataset('../../0.1convoff/2m/outtrace3box3.nc')\n",
+ "ds25=xr.open_dataset('../../0.1convoff/2m/outtrace3box4.nc')\n",
+ "ds26=xr.open_dataset('../../0.05convon/2m/outtrace3.nc')\n",
+ "ds27=xr.open_dataset('../../0.05convon/2m/outtrace3box1.nc')\n",
+ "ds28=xr.open_dataset('../../0.05convon/2m/outtrace3box2.nc')\n",
+ "ds29=xr.open_dataset('../../0.05convon/2m/outtrace3box3.nc')\n",
+ "ds30=xr.open_dataset('../../0.05convon/2m/outtrace3box4.nc')\n",
+ "ds31=xr.open_dataset('../../0.05convoff/2m/outtrace3.nc')\n",
+ "ds32=xr.open_dataset('../../0.05convoff/2m/outtrace3box1.nc')\n",
+ "ds33=xr.open_dataset('../../0.05convoff/2m/outtrace3box2.nc')\n",
+ "ds34=xr.open_dataset('../../0.05convoff/2m/outtrace3box3.nc')\n",
+ "ds35=xr.open_dataset('../../0.05convoff/2m/outtrace3box4.nc')\n",
+ "ds36=xr.open_dataset('../../0.025convon/2m/outtrace3.nc')\n",
+ "ds37=xr.open_dataset('../../0.025convon/2m/outtrace3box1.nc')\n",
+ "ds38=xr.open_dataset('../../0.025convon/2m/outtrace3box2.nc')\n",
+ "ds39=xr.open_dataset('../../0.025convon/2m/outtrace3box3.nc')\n",
+ "ds40=xr.open_dataset('../../0.025convon/2m/outtrace3box4.nc')\n",
+ "ds41=xr.open_dataset('../../0.025convoff/2m/outtrace3.nc')\n",
+ "ds42=xr.open_dataset('../../0.025convoff/2m/outtrace3box1.nc')\n",
+ "ds43=xr.open_dataset('../../0.025convoff/2m/outtrace3box2.nc')\n",
+ "ds44=xr.open_dataset('../../0.025convoff/2m/outtrace3box3.nc')\n",
+ "ds45=xr.open_dataset('../../0.025convoff/2m/outtrace3box4.nc')\n",
+ "\n",
+ "\n",
+ "x1=['80', '40', '20', '10', '5', '2.5']\n",
+ "x2=['10_convoff', '5_convoff', '2.5_convoff']\n",
+ "traj2mtot=[ds1['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds6['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds11['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds16['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds26['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds36['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m1=[ds2['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds7['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds12['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds17['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds27['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds37['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m2=[ds3['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds8['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds13['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds18['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds28['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds38['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m3=[ds4['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds9['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds14['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds19['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds29['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds39['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m4=[0, ds10['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds15['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds20['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds30['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds40['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "\n",
+ "traj2mtotconvoff=[ds21['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds31['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds41['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m1convoff=[ds22['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds32['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds42['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m2convoff=[ds23['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds33['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds43['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m3convoff=[ds24['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds34['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds44['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "traj2m4convoff=[ds25['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds35['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True'), ds45['DHR_total'][3:22].sum('ntim',skipna='True').mean('ntra',skipna='True')]\n",
+ "\n",
+ "\n",
+ "#############all traj#####################################\n",
+ "\n",
+ "\n",
+ "plt.figure(figsize=(8,24))\n",
+ "plt.rcParams.update({'font.size': 11})\n",
+ "plt.subplots_adjust(hspace = 0.6, wspace=0.5)\n",
+ "\n",
+ "ax= plt.subplot(621)\n",
+ "\n",
+ "ax.plot(trajtot[0],y[0], marker='o', markersize=7, label='80km', color=colors['80km'],clip_on=False)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "\n",
+ "plt.plot(trajtot[1],y[1], marker='o', markersize=7, label='40km', color=colors['40km'])\n",
+ "plt.plot(trajtot[2],y[2], marker='o', markersize=7, label='20km', color=colors['20km'])\n",
+ "plt.plot(trajtot[3],y[3], marker='o', markersize=7, label='10km', color=colors['10km'])\n",
+ "plt.plot(trajtot[4],y[4], marker='o', markersize=7, label='5km', color=colors['5km'])\n",
+ "plt.plot(trajtot[5],y[5], marker='o', markersize=7, label='2.5km', color=colors['2km'])\n",
+ "plt.plot(trajtotconvoff[0],y[6], marker='o', markerfacecolor='None', markersize=7, color=colors['10km'])\n",
+ "plt.plot(trajtotconvoff[1],y[7], marker='o', markerfacecolor='None', markersize=7, color=colors['5km'])\n",
+ "plt.plot(trajtotconvoff[2],y[8], marker='o', markerfacecolor='None', markersize=7, color=colors['2km'])\n",
+ "\n",
+ "leg = plt.legend(loc='best', bbox_to_anchor=(1,0.63), handlelength=0, markerscale=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ " \n",
+ "\n",
+ "# #########################################2m##########################################\n",
+ "\n",
+ "plt.plot(traj2mtot[0],y2m[0], marker='s', markersize=7, label='80km', color=colors['80km'],clip_on=False)\n",
+ "plt.plot(traj2mtot[1],y2m[1], marker='s', markersize=7, label='40km', color=colors['40km'])\n",
+ "plt.plot(traj2mtot[2],y2m[2], marker='s', markersize=7, label='20km', color=colors['20km'])\n",
+ "plt.plot(traj2mtot[3],y2m[3], marker='s', markersize=7, label='10km', color=colors['10km'])\n",
+ "plt.plot(traj2mtot[4],y2m[4], marker='s', markersize=7, label='5km', color=colors['5km'])\n",
+ "plt.plot(traj2mtot[5],y2m[5], marker='s', markersize=7, label='2.5km', color=colors['2km'])\n",
+ "plt.plot(traj2mtotconvoff[0],y2m[6], marker='s', markerfacecolor='None', markersize=7, color=colors['10km'])\n",
+ "plt.plot(traj2mtotconvoff[1],y2m[7], marker='s', markerfacecolor='None', markersize=7, color=colors['5km'])\n",
+ "plt.plot(traj2mtotconvoff[2],y2m[8], marker='s', markerfacecolor='None', markersize=7, color=colors['2km'])\n",
+ "\n",
+ "\n",
+ "plt.xticks(np.arange(9,18,2))\n",
+ "plt.xlim(9,17.1)\n",
+ "\n",
+ "plt.yticks(np.arange(6,11.1,1))\n",
+ "plt.ylim(6,11)\n",
+ "\n",
+ "axes = plt.gca()\n",
+ "axes.spines['right'].set_color('none')\n",
+ "axes.spines['top'].set_color('none')\n",
+ "axes.xaxis.set_ticks_position('bottom')\n",
+ "axes.spines['bottom'].set_position(('axes', -0.05))\n",
+ "axes.yaxis.set_ticks_position('left')\n",
+ "axes.spines['left'].set_position(('axes', -0.05))\n",
+ "axes.tick_params(axis='x', direction='out')\n",
+ "axes.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "plt.ylabel(\"Cyclone deepening (hPa 18h$^{-1}$)\", fontsize=10)\n",
+ "plt.xlabel(\"DHR$_{total}$ (K 18h$^{-1}$)\")\n",
+ "\n",
+ "\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/Figure_11.ipynb b/scripts/plotting_scripts/Figure_11.ipynb
new file mode 100644
index 0000000..c8bc891
--- /dev/null
+++ b/scripts/plotting_scripts/Figure_11.ipynb
@@ -0,0 +1,225 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.ticker as mticker\n",
+ "import pickle\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
+ "\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 936x648 with 8 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "###############################loading pte calculation files#####################\n",
+ "\n",
+ "path1='/pf/b/b380796/scratch/NAWDEX_Anubhav/0.8/1deg/1m/'\n",
+ "path2='/work/bb1018/b380723/pte/0.8/1m/'\n",
+ "\n",
+ "dp_dt=np.load(path1+'dp_dt.npy')\n",
+ "dfi_dt=np.load(path1+'dfi_dt.npy')\n",
+ "i_itt=np.load(path1+'i_itt.npy')\n",
+ "i_tadv=np.load(path1+'i_tadv.npy')\n",
+ "i_vmt=np.load(path1+'i_vmt.npy')\n",
+ "i_diab_res=np.load(path1+'i_diab_res.npy')\n",
+ "\n",
+ "ds=xr.open_dataset(path2+'basicvar_pl_1deg.nc')\n",
+ "mslp=xr.open_dataset(path2+'2dvar_1deg.nc')['pres_msl']\n",
+ "mslpsel=mslp.sel(time='2016-09-23T12:00:00').sel(lat=slice(50, 57), lon=slice(-30,-22))\n",
+ "mslp_coord =mslpsel.where(mslpsel==mslpsel.min(), drop=True)\n",
+ "\n",
+ "##########################converting numpy array to xarray###################\n",
+ "\n",
+ "time=ds.pres.time\n",
+ "lat=ds.pres.lat.values\n",
+ "lon=ds.pres.lon.values\n",
+ "dp_dt=xr.DataArray(dp_dt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "dfi_dt=xr.DataArray(dfi_dt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_itt=xr.DataArray(i_itt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_tadv=xr.DataArray(i_tadv, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_vmt=xr.DataArray(i_vmt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_diab_res=xr.DataArray(i_diab_res, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "\n",
+ "stp = 36\n",
+ "fig=plt.figure(figsize=(13,9))\n",
+ "plt.rcParams.update({'font.size': 14})\n",
+ "plt.subplots_adjust(hspace = 0.3, wspace=0)\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 1, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(dp_dt.lon,dp_dt.lat,dp_dt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('Dp')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 2, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(dfi_dt.lon,dfi_dt.lat,dfi_dt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('DΦ')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 3, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_itt.lon,i_itt.lat,i_itt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('ITT')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 4, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(dp_dt.lon,dp_dt.lat,(dp_dt[stp,:,:]- dfi_dt[stp,:,:]- i_itt[stp,:,:])/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('RES$_{PTE}$')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 5, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_tadv.lon,i_tadv.lat,i_tadv[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('TADV')\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 6, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_vmt.lon,i_vmt.lat,i_vmt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('VMT')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 7, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_diab_res.lon,i_diab_res.lat,i_diab_res[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "plt.title('DIAB$_{res}$')\n",
+ "\n",
+ "# colorbar\n",
+ "cbar_ax = fig.add_axes([0.82, 0.2, 0.02, 0.5]) # left,bottom,width,height\n",
+ "ticks=[-3. , -2.4, -1.8, -1.2, -0.6, 0. , 0.6, 1.2, 1.8, 2.4, 3. ]\n",
+ "cb = fig.colorbar(cd, cax=cbar_ax, ticks=ticks, orientation='vertical', extend='')\n",
+ "cb.set_label('hPa/h', fontsize=14, labelpad=5)\n",
+ "cb.ax.tick_params(labelsize=14)\n",
+ "fig.subplots_adjust(right=0.8, wspace=0.1, hspace=0.2)\n",
+ "\n",
+ "plt.show()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/Figure_12.ipynb b/scripts/plotting_scripts/Figure_12.ipynb
new file mode 100644
index 0000000..80eb3ef
--- /dev/null
+++ b/scripts/plotting_scripts/Figure_12.ipynb
@@ -0,0 +1,226 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.ticker as mticker\n",
+ "import pickle\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
+ "\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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kvbdYzLVTB4lrF91kjDKZjFNnzpJx96Z+PgUF+NOpQxwRoSEmNwyaw/0QBTB+lwVBQFJTg6tb826CrvZiiouK2LtnN5USKf1696Jjt55G1yiVSk6fOE7Kndsk9uxFzz5925ww6MZ+9/YtTp88jlgspku3RLol9rBYRj1soqDD3Tt32L9vL3379ae3CVLeGFVVVRw7coTS0hKgniyGhxMTG0dYWFiD+4uFaIvdaFNoznLR3Dt4+tQpJowdbfJc3z69GTJoEIMHDWTo4EHY2NgY9ZWelkZi14Zd7nUbNjJ+wsQm91epVFy6nMS169f176aXlxedOnYgOirKpOvlw97RB6itrcXBwcFojpu6r0QiYe+e3ZSVlhHdLprhI0biKm7YQBAEgYuXLnPh4iXCwkKZPHFCs/P2QSz2eXm57N+7F5VKRWxcHAMGDrLY48FKFH7beOSJgg51dXVs2rgBRU0VAwf0o0tny01hUqmU1LQ0Uu6lUlFRgUgsRhAExEoZKpWKzp06MKBPLwTnBtNwbW0tFy8nkZVyC6VKhSAIBAcGMGxQf1xdXJrcw3CRNqWYmFNkLFFi3v37x5w6e4H+vXvg4OCIoNGQnZdHTU0tOfn5pKSmY2try4bl35NfUMS5i5fZvucAf3r7VRY9N89oDPfupXL46FEWPr+A9p27smfbVuJCfACokUjYvvcANTUSPNzdGTaoP0EB/i2Orzk8qJuRRqPh8KGDfPD++9y6cR2AExeuEB0T26RtrUTCwf17KCstJTIqmiHDR5pVtnQKiyAIbNuyherqKmbPebLF3ZL72YHVQalUcuHsae6l3EUsFjNxyjS8fZq3yD4MonDuwA6T5wRBYPveA2Rl59KtczyD+vW2WNlSKBSkZ+WQkppGQYUEG5Vc2yfaxTo0OIjxo4YbKTdKpZKk5BvcTUunrq4OjUaDl6cnQwf0xd/v/i3VuneuNQRh1YbNfPnDEob076uN23Fz505aGnK5nLz8Qu6lZ1IrrWXx55/g6OjA+UtJbN9zgBFDBvLdf/9p1FdVdTVf/LCUv7zzOjPmvcDcx2cwfeI4/XPae+gYufn5uDg7M6BvL2KiIi0mjpZ+dx0sVQzOXLjMJ//4G8cOHwTgxxVrmDB5apN2SqWS40cOkZWZQUiAP+MmTMDFQB6amx9nTp3gRnIyjz81V++O1xakofH9NBoN15OvknzlMiqViuGjxhAZFd1sH209x7p2TxT2HDkJGH9H3VjPnz3N1cuXiWrXjqEjRmFvb2/Rs1Cr1eTk5JCWeo+c7Gy9RVd3zsPDs8nvodFouHXrJrdv3UJeVY4gCDg7u9C/X1+ioyLN3qvxe2NKQTb1bjVHFC6cP89rLy+ib/9+ODk5ERAYxO2bN6hTKCgsKCQ9PY3SkhLefPNt+vTvz4Xz5zi0fy+Ojo4c2b8Xha2Tvi9BEPjXPz7i5Vdf4+svv0AkEvGnv7yPo0YrR06ePsONGzext7ejZ48edO3SuUVZ1lolurWkISMzi3/++xNWr10HwLu//x0f/Pm9JvfWaDQcO3WG68lXcXFxZfS48YQHGa/Dpu59+84ddu7ew+OzZhIR3tQd70Hdeg1xLyWFM6dPIZXK6NO3D4k9mp8+VqLw28b/CaJgOCk0Gg2nz54lOfk6fn6+jB09Cg8Pj/u6p1hWqQ2cunaDQ8dP0aPvAFJTU1Gr1Tg5O9O3dy9iAhuCeXLzC9h36Ch1CgV9enQ3uZvYGA9CEEArEPuOnsyVazewt7NDEATUGo3W5cfOlpDAAOLaRVNZU8PZC5eR5adiY2PDrbv3GDltNhuWfsegfg27V9Offh6NWsO2tUsZOG4aTz02HRcXZ6qra3BzdWX8qOH43qfVpTHMfffWCKz9+/by+MwZAAwcMpTps2Yzc/YcvdBXKpWcOHqYlNR0nF1cGDpqLN6+DUqmm33zu266Bbq0pIRNGzcSGRXJ2HHjqVVaPm9qFOaD5szdXy6Xs3PrZqTSWqbOfMxsLMOvSRR0EASB67fucPLseZydnBg7ctgDE8aMrBy27NpDQscOFBQWIZPLsbO1pUe3LnSIjcHJSbuzV15Ryb7Dxygrr6BT+1gG9+/zq8RE/OGv/+Dz75cA6N0cBEH7t7+fH3HRkYjFNhw6fpK7F04QFRFGdU0NnQeM5O9/+j1zH5uulwVf/LCEv//nS8rSrrPonfdwc3WhZ/eulJSWYW9nx8ihg4kMD30o3+N+iEJ2djZdOmktbnHtOzBn3nyeeGoeLvV+8hqNhksXzpFy4xp2draMGDmKyCjzVidzZEEmk7Fl43rs7OyY/tjsFi0mlijPzRF3tVrNwX17yMnKYvzkKYSEhpls9zCJQnPIzcnmyMH9CILA2FEjW23VbIzysjI2bdxIUHAQdXV1VFVWIhKJ6BSfQKf4eALctHNMIpFw7MQJMjKyCAsLZdSI4Xpy8aDKZHNEYdfOHTz1xGz9Z3t7e1QqFWKxGB9fX6KjovHw8mLfnt188dXXPPPscwiCwOgRwxg4aDDv/fkvellw6eIFRg4bSnF5JatWLOfwoUPMmz+f7Kws7FHTv19fizcT5WKHVllCLPnejftWqVS4emuDuT09PXjr9deYM/txfMMaSOztW7c4dfIEcpWGnr37ktClq5F+YW4+NNaPNm/dRklJKU8/NUcf63I/boiWEvkzp09z+dJFhgwbRpcuXU22sRKF3zYeGaIQn5AgHD1xqsmObnOsvaS0lAMHD1FdXY2bmzvDhg4mJDjY4nsaKusqB3du3rpFxw4d9AuYWTcHjYaLSclcTr6GWCzGxsYGH28vwoKD6BAXYxQceb+uRpVV1fjHNZ10Tk6O1NUp0Gi0kzo8JJiKqiqCgoLw9fXl3d+9g7+7IzFREZw6d5FXfv9nRCJI6NgBjUbDvsPHAIhrF0VKWgYzJo3jpy//Y9JK8iBoq4BliUKDUqnULxCCIJCeeo/LFy8gk0kRi8X0GDiUsAjziktLZEEHV3sxF69e4/CB/UyaOp2ISPN9NkcOWjMGmVTKhnWriYmNY+CQYU3Ot7lbROcE4cLhXRa3l9TWcuDoCYqKS7C3s2Ngv97EtYtu1Q64WFqp//vWvTQiQ4NxdnJC4+zZ7HW3U1I5efY8arUaW1tb3N3cCA0OpH1MuzYjs97RCfrgY/14xWLEIhGq+hgBP18flEoVPt6euDg7895brxAeEkJURDh5BYU899o75BUUktglARsbG46cPENdXR0xUZGkZ2XTMS6Gg1t+brMxg2X+0K2ZZ7o5plMW8vPyuHjuDFVVldiJBHr37UuXRopLSzCnxBcWFLBl03qGDxlEz169W2Wl07sOtuIatVrNts2bEIvFTJ0xq8l3aOs5ltClq7Dv2GmLn5VSqeTMyRPkZ6UhEono0bMnXbt11ya6uA/lLTMjAw8PD7y8W37f8vJyOXL4MDKpFDs7OxydnAgJCSW6XTtCQkJabekypXA/9cRsdu1sujlhb++AQqFt7+LqirOTE46Ojjg5OfPSyy/TKT6B8IhwxGIxL73wAhcvnKdrt+64urly68YNsrOz8fXzw9bWlsKCAq7dukN4eHibu1i11U684ToGUFFeztmzZyioT2DSvkNHuvUZ0KxLWUu/v+67SyQSlq7dSHhEOGPHjW/2d2yLBCCCIHD40EHS09J45tnnmrgkWYnCbxuPDFFoFxMjvP2736Ooq0Mur6NTfDxDhg61eNJXV1dz/OQp8vPzAQgJCaZfn74txiToMh6YO2cJBEGgrLyCnLx8bt5N0ftti8ViXLz8CAoKIiw0lHYBHhYLXpVKxYp1G/Hy8sTVxYVLV5JJvnmbbbv3NWkbFhpKt65dcHBwoKy8nJKSEtLSM/Dx8SYqLITi0jJy8wrq7y0gqZXy+T8+oENsDH17JhqlX1Wr1Vy/fZfM7BxKSsua3Mtw9IZvls4MrrFzMgoOE4vFuDg74+bmiouLK64uLjh6+uLu7o67hwcODg4mn0ldXR35eXmkZuWQl5ODTCbVn4uKbkdiz944u7hYrLBbShZASwR3bdtCVVUlM2c/iZNTg8m7tQTB0jFcOHeGa1ev8NQzzxn5zba1EhMZHib8/rWXUKvVeHp4MHv6ZIuvraur49S5i9xLzwDAy9OT/r17EBZimpwbEgRLYYo8iKVay191jYScgiJu5RRRVl6hPScW4+joQFCAPyFBQcRGR7bKt3/Lrr1IJLWEBgdx/dYdrt++w6r1vzRp5+vjTY+unfH08KC8ooLS8grSMrJwsLcnJjoSuVzOvfRMAJQqFXV1dfzh9UUM6teb7p0T8PP10fclCAJ3cktIT8+gMDsdjSDo55UATZIYauydtQGkBvPK8G+RSISzkxOurq7af/VzzM3dDXd3D5ydnU3OMZVKRWFhIXm5ueTm5FBVVakfX1BwMH379sPbx6fJda2FThFprHgcP3aMa9eSmTxztkWpMx8U6Wmp7NmxjTlPP2Pk8tfWcywiMkpY9PqbgFY5nDt/gUXvpKu9GI1GQ9LlS1xLTkaj0WDj4Exiz15Ex8Tqf0NTCpwpZe9+XLtqa2spyM/n3r0U8vPyAO37Ze/gQEBAAIFBQcTGxplNqwzGZEEuduD8uXMkX71Ch46dyEtP4VLSFZYuX9F0vK6udO3WneDgYKqqKikrKyMrMwuFoo52MTHY2dlz9/YtVGo1SqUShULB3CfnMH3KZKLjuxIREWF0/+ycHFLupZKTm4tKpTKaA4ZuW4bHTM0xlUj72zk6OeHi4oKXswNurq44ePjg7uGOu7sHLi4uphMMaDSUlBRr51huLiXFxfr7enh40rd/P0JCtNZFS8lva37XmzducPDAfiZOmkxMbFN33Zbu2dp3qLysjDXLFjN18iTiYmP1JMtKFH7beGSIQmPXo0MHD2CnVjBm9CiT7XUvoDkikZuXx5mz5ygpKcXf348pkya2KtUo3F8QZGNUqWwoKCwk+94tsnLy0Krq6P+3tbHB0dERjaDNzqJSqlDVZzMAjIRZVk4uX/24jH69Ehk/agQvPTsX0JpwNU6eyOVy0jMySEvPoKCggNKycnbs2IZKqebGnbtG49K5T+hw6+49jp06g0gkolvneKIjwvFvIYORDs3tbmo0GmrrU0bWSmqprqmhVCKnurqK6upq6uRyfVutu0d9JiV7e4KDg/HyDyY4JBTnZiwelijvrSEKOlRXV7F10wZsbe0YOn4y7g+Y6rSlsVRXV7FyyWKmPzZb7ybxsFyPxNJKbtxN5cLV6zwzf/599VVWXsGZC5fIzs3DxdmZ6ZPG6bMg3Q9J0KExWTDXl66dTCanoKiY3Px87qVlNFG8xQoZri7OqO2cUGvUqFVqlCqV9nwjhaFSpuS/n31OWEgIk8aM4K1FL2h3WuvTHatUKjKyc0jLyCInL5+KyiqOnDxNXn4Bd1ONa5gc2b6BgX176z/rXBfldXV06JJIbEw7goOCjHYQ7yeDiiAISKXaug0SSS1l0jqqq6r1c0wmbSDZujkGYGNrS2BgICEhoYSEhuLpafk92woKhYI169YjkdQwdvwkgkMfjkuWDkqlktXLl9C9Ry+61/tVPwzXow37jgFQWlLM7k3rWPRay2lyGytlEoUGaW0tSZcucC/lLiKRiLETJhMYFHRflpUHiQlRKBQUFxeTn5fHvXsp+tShhvqFoauaWFVHbb1c1s0xW6Fhzn32xVeo1WoemzmDBfOfITAwAJGLp/76vLw80tPSyM7OorailKQrVzl/4SIKpYKC+qx7AN99/SXPznsa0OoElZWVHNq1naqqKsLDw+jUsSNhoSGtXvsbQxAEfcpliaQWiaSG6poaqquqKZXIkNbWItRnhDJcx0QiEb5+foSEhBASEoqvn1+TNbWtUxWbGvvuXTvJyspi6NBhxCckNHvP+31PdLqYIAhs/GUzLi7OTBw/HrnYwUoUfuN4ZIhC47SNAFu2bScsNJRePXs0ad8SUTBEfkEB23fsxMnZmZnTplqUo7otSIJusS/KTOHYqbOEBgcS2y7aKIWoUqmkTqHQ56K2tbUx2n0SBAGZTCugaqUypDIZMpmMkrJy8vILEGgQxA729kRHhhMaFMSqjZv56L9fAmBvb8ezT84mMjyMzp3aU15RRU1Njd4ioNFoaNexM0MGDcTGxqZV3/1+UsLdTzaW5vAwrAqGfdfWSji4awfV1VV0SexJ18SeFluGWjsOQRBYs2Ip8Z27ktiz10MlCgDnr1ynoLiEqWOGt+gKZAhD5V3j7El1TQ2/bN9NnULBzBEDCPB78J1o3XhaIh0aZ0+qqqs5tG8fHgFBxEZHERZikEJUUk6tVKb97OKFra2NkQuAIAjU1SmorVe2pTI5MpmMisoqsnPz9KRCJBJhIxYTERZKZPsELly6xLznntf38/KLL+Di7MKwvolUVldTWVmFpl7+CoKgrdswcWqzu7EPirYMWPy1oHMvPLB3N4UF+URGt2Po8JGtzurTGuzdtQOxWMyY8RMfWoyCTi4V5OVy+tBe5j//4gP1q1Ao2LtzOyXFxQwfNdpkQoeW8CBkoa6ujsOHDiIWi4mJiSUiMtLIJbS2thaRSFu3RCwWY29vr5eTjpo6FApFfSFCbcHU2lopNRIJWVnZyOUy7U3qleuQoCBiYtpRVVXNwGEj9GN4+cWFqFQqpkyaSI1EQnlFBar6+anEBhdXV6aMHoGn5/3FLT4I2jq1d0to7W8pCAL7Dx3h7p3b+Pr6MXr8RCNr+YO8G6b0sHPnL3Dj1i2ee2YeTh7eVqLwG8YjTRQAflq2nJHDhxNlonBXa8gCQGVlFT9v2EB8fDyDBw5otu2DEgWlUsn2I2coLCwiyNuVEYMHkl9YxL20DIpKSozaNqd0igBHJ0dcnJ1xcXbCxdkZZycnvL08CQ3W7kYKgkB2Ti5f/LCUb5euxMHenqDAAOI7xJHQoT1hocEE+vsRFOCPj7c3Pt6euNenP7zfdJQ6/BaIArStVcFcX4IgcP1KEteSLiG2EZPYuy/tOyXcF2loaSz7du8EYMHcJ9qcKFzYtsro2J6jJ3FzcWFQ70TAtPuPDi3t7isritm0+wD29nY8NnHMA4+3ObIgCAKHTp3nbloG7m4ujBs6kGpJLSkZWWSXVmsJtEJqdI1IJEKwb1rp3MHBQT+/XJydcHZywsPDnYjQEL0yVFJaxoY9h3nrd3/A1tYWPz9fYtvF0LtXT4KDgwgMCCAoKBBfbx+8vb3x9PR4aMruo0gIGsPc/E5Pvcfxo4cB6BifQK8+/R7Kc0y6dJGb15N59+03Hmowc41Czd1bN8hNu8vUGY89cP8ajYYjB/eTnZXJMwsWtrqgX2sVwuTkq5w7cxYHB3uGjxyFjY2Y1HupZGVm6JV0HUzJQp0lwc7OTlu5vL6ysrOTE+7uboSHhekVVolEwuGjx3j8Sa213MvLi4jwcIYNHUxgQCCBAf4EBwfh5+uLt7c33l5e+o211haYexCYcll+kDn5MMhCc32WFBexf89ulEoFMVERDB023Ig06J6fJd+puWedmZXNps2b+ctf/2YlCr9hPPJEQRAEPv3iS2bNmG4y5df9YNeePQBMHD/e5PkHIQl1dXXs2HeQ3NIqZk6fRpiXszZTyr00xGIxkeFhDO7XBzdR04JsgiBQUVVNZXUN1ZJaKuoESvOyqaiuNmpjKIyra7SK0bGzF6mRyhg1dBBfffw3vQtIc2gs6PILCrh0OYmioqIGP8162ChlegtEcGAA0ZERREeEYedpeTGg1grSB0lFqoOh0t+cct7a2AO1Ws3VSxe4c/MGnt5ezH7scYvG0hqrRtKli0wePaxNBWzPLp2E8zvWNTm+fOM2EtrH0qtrfJvc59K1myTduM3zT5ivrG4pGpMFjUbDwZPnuHE3ldGD+9G5QyzJt+5y9OxFHOzt8fXyZPiA3vh4eZrsr0ZSS2mdQFW11n2gpKycsrJyzEnKuro6UrLyOX/xItnZObRvH8falcsJCgxs9XepqKjkUlISmVlZRm5AYOwW5OfrS1RkJO2io1qVuQTMxwT8VtCaGiS3b93k0vmzAMx5en6r4k9MzenG8y83J5u+XTs99KxHNQo1xw8dwNEGRo4ZZ3FfzcmM/Lw8tmz8mecXvdqqIliWvhdXki5z5NhJErp2pf/AwRQVFrJvx2acHB1xdnFh4KDBhIWZziQl1FZSVl5OdXU1VdXVlJWVUVxSiiCXmGyvFNmTlpHBjeSrXEi6SmR4KMu//Zyu8R3Nyg9zlcilUinJV6+SfueGPukHGM8vBAF3d3eio6JoFx2Nt7c2Nbolrn/NFYtsPEctrVj+IGudKZe11lyblZXF8WNHqamp4fmnZuPu7m6yrSUpc02huroa/9AIK1H4DeORJwqgVQzW/rwBd3c3pkya+ED30U3yM9dS9GYxQ0Ekk8m4m3yJm3dTkMsbfO5AG08QFhpMgIGfoUqlIjMnl5LSMr0SP3HMSIIDA1AoFCxeuZbErp0ZmKBNfZeSnsm5s2eRi+z0/Wo0gl4v9/b0wMPNDQ93Vzzd3fD38UahUJKVV0BJeQUp6ZmkZ+dy6146eYXFlJZXMKh3ImOHDmDB7OmI3X2RyeRkZOeQkZVNRVUVGo2AUF8FWqVWG31fXfCxIAgEBQXRI7E7wUGmqxWLZZVoNBryC4vIyMrWVqCmfuEWiYiNiSGxW1eTguZ+dlvagii0FcwRCTd7G1Lu3ObY4UM8u/ClVhfJagkPw/WosUVBhz1HT5JfWML8x6a0egdX4+zZZNc/IyePTbsP8Pr8J3FwaPARVqlU3E3P4sbde1TVNCgOgiAgFokJCvAjNCgAm/qdUpWDC/kZaeQXFiMgoFAoGTGwDx1johEEgbVbd+Pi7MS0sVoXhYLiEo6fu0y1RKKfY4YE283FBU8PN9z9gnB3c8Pf1wcbGxuyc/MoKSsjNT2T1PRMUtLSycjOoai4lB5dOzNsUH8WPfc07m5uKJVKsnLzyMjKpqikFLWNEwLaaqm6XVaxUmb8jDQaPPyC6JGYSHQztRMEQaC0rIz09AxS09KQ1scYCIJAWGgoPXok4u9nOvj3UbI0tGZ+l5YUs3blcp594SXczCgyjdES+dcp4L9GelTdWG4mX+H86ZMsWPC83qf/QVBdXcXyxT/w1DPPGgWEazQacrKzuHXjOqUlDQG0uvkQEuhPeHg4dnbaeSkgUFJcTE59RfC6OgXtE7rSs09fRCIRJ44eoTgvi7nznsHGxgZFZQnHjp+gqLjY5LgcHZ3w8fbC3cMdD3d3/FzscHFyIis3j9KycjKysrmXnkFqRhb30jMoKCwiNiaWwYMG8NLcxwgPDUGtVpNfWER6ZjZ5BYWoNWoEjbYKdJ3IOGWyLuBYo9Hg5OxM167d6BoX1aw8rqysIiMzk9S0NCorK/XHfXx86JHYnfCwsFZtcpgsmGYhUTBsbynaeiNALpfz0zdf8NjMGW22KauDo7uXlSj8hvF/gijocP3GDfYfPPRA1gXD3YDM7Fz2n7qASNxQfMtJpKZT+1g6tY/D2dnJ6FqlUklOXgHFJaX6YzY2Wp9lP18fvVCprKrm2OmzpKSms2DuE/jq5IekDNvOIwH4zzsvMmP0IMKDAki6dY8zV27gHRDMoVPnUKnUiMQi7qRmkJaVjUqpxs/bAydHBwJ9vfH18iDAxwtvvwC8Pd2NYxrsnXF0dCQqPJToyAi8PDwQi8WIRGBjY3Nfiqwl7kUajYZ7qakkXblKTU0NALZ2dsR37EiXzgn6QLX7QVsShgfZfWkOpSXFrFmxjOcWLrJYkbEEvyZRAMgvKmbN1t2MHNiXxISOFvdriigAVFXXsGHXfkT14cUCAjZiMXHRkXTuEIunu7HlS6PRkF9UQm5hUcPun6M7oZ5OhAT6690sZHI5py9d5dK1m8wcP4qYyAZ54N99KOWVVbz78gIenzSG+Lh25OQX8sueg0SGaudYtaQWeycXUjOySMvIoqq6Gj8/H1ycnPD18cHf1we/+n8e7m44NYorsLO1JTxUmyI1wM8XGxsbLdl38cbW1hYbeVXzz+s+XPYEQSAnN5fLSVcoKSnRy5uYmBh6dojELcC0THwY5KG5vPGthaVzUC6Xs+T7b5g68zFCwyyT/5ZYCjsGevxqRAFAWlvLxjUraBfbnnFjRj+wxU2lUrF10wbq6nS/iXbehIVH0ikhAT9/Y6uvIAjIq8rIyclGpWoYl5+fH2Hh4fo1olKqIPlKEhfPnaVHr94MGzxA/7u/sOgVVq1Zy8JnnmLOzKn0TuyGVCZj8c9baRcdzZkTR8krKMLZyZGcvHzupWdSVFKCn48PLs7OeHt5EuDni6+PN4H+fri5uuLiZVxkUWxjQ0hQEFFRkQQHBWFra1u/lomws7Mzem73u9ttCiWlpVy+nER2Tg4ASpEtoWFhdO+eiH9AgL5/S2sTtFaht2Q+PAxroaOmDkEQWLJsOd26djUZG3rffVuJwm8a/6eIAmgViS3btlNSUsJTc57AzQIXGx3u16XIVAaixrh5J4WTZ88jCAIe7u4MGdCXkKDABuVJUsbZE6cY9PJfAegbH8v1tGzEYhE1Um3mn85x0cTHRGJvZ4tYJCIuMowucdF0bBeBr6c7zk6OTcfg2jRotDVBqa1Ba5UbpVLJzVu3uXzzDnVyOYIgYGdnx+AhQ5st2NQatHV6twe5n0wm48dvvmThK68b+Xs+CB52MLM5HD59nuRbd3l80lhCApsvtmZp0HFLMJWyUNe/WFpJbkER+/bvR6FU4ehgz4DuCcRFhmqvqZ8HGTm59Bj/BNUSCcMH9Cb55l2kcjmyeutgfFw7YqMi8HR3Q61SExURQuf2sXTuEIu/jzeuLs6IxeIW51Dj7/ogc+5B4oQ0Gg0paRlcuXaDGonWOiPYOdGrZ0+6duncrDJ1v7BECXtYboaCILD0h+8YP3kqwSEhLbb/LRIFHe7eusGpo4cZOGwE7Tsl6I/fT9IFUxWgTUEQBNwczPdfWVnJ3j27kdTUoEJM1+49iO/cBQ8n7Q6+o6aOqoIspjw5n3OXrjBhxGCu3LhDaXkFIpGIOoWC2OgooiLCCA4KRKlQEBwURHyHOLp17kRQQADubq4mLZb3Q56h7UiCuXdWEARyc3O5knSZ0vr4QkEQiGvfgf4Dmq978CC43/oGbRGfsWnzFiIjItqMLFiJwm8b/+eIgg61tbWsXrsOf39/pk2ZbNGuTGuJwvVbdzh17gKCIBjtxOvuJa7P0CCVyegYF8uwQf2bBJaJpZX8sucg//rqR1Kz8+jRPoq/PzGaPr17IQgCxRo7NIKG0ICmadMMoSotbHLM1rfeR9oEWQDzyosuk5JUJkMm1/7v5OiIr7d3EyuKyX4fIIC5rq6O48eOkpmRgb29Pb1696FTfPwD76oZCtVfyzfblCDPyc4i5c5tRowe2yb3+F8RBdDGYfy8fS91CgVzp0/C3r5phWTDd+x+iEJ2XgH7j5+hTqHA1rZhwdWlFhShrUBeI6klJNCfCX3icTCR6jApo4hXP/iYO6kZRIeH8u7LzzF9nNZ6V1JWTk2tlIiQoIeaSQcanocuk5JUJtPPMxuxDb4+Xri5uhq7/z1gQoEmY9BoOHcpiavXbyIWi+ncozc9ExObrXDdGsX+YRAFsJwsqFQqfl69grnzF1jUviWy8GsQBXPjEASBiycOk5Gayqw5T5qt0N4czMk73fOsqCjn8P591NXW6KuO69ew+vXK3sGBqsoqPDw9mDBxEh4eHkZ9uNqLqczP5rmFL3HtWjJurq689NRM3lygDTquUIkpKSsnLDioxXgJsbTS5Npkah60FKCsUCiQSmVIZVIq5Wrs1XX6RAKWBnm39K6aei8FQeDu7VtcOHcGtVpNdLtYhg0egLOzc5NrH2Q9srTg3sMI3v5h8U+8+MLzLTe0AFai8NvG/1mioENqahpbd+xgzKiRZku2Z2ZlExkRbtGCW1dXx7Y9ByguKaVLfEcG9u1lVrnQ+SObE4xCTRnP/e4Dtuw7zL/ffoFpIwYS6OutV/pNKvqShiJnRaUV3L6WTGZBCbK6psHPADauHg31YRxcGvI3I0IwEZ4p2DvrMyk5O2mzuzg5OiKvq6O0vBypVGYUYKkrNBUeGtIq5aYxTAljhULBpYsXuX3rJhqNBncPDwYPGUJQkHEBr7YmAfcjVFuzmKxY8iPPLFjY6nuYwv+SKOhQWl7B6i276NwhlpED++qPGy72ufduExoUYNHirNFo2H/iDCnpWUSFBjN6SH8czcwhjUZDnULRxPVHD0kZHy7ZxOdLVvHa/CeZO30isVFNM6SZQ1V1DXfSMsnIyaVaUmtk1TD823A+mTuuR31WJXsHB5wN5plKraK0rIIag9gJABcvP7p360pcbKzZ53e/1lCNRkPyzdtcvpKMQmSHg6MjA/v1IyamXYvkvLl33tI59LAsC62ZY78VomBqLDrrgUwm45f1a3Fzd2fytJmIxeImVoLioiLcPTyM0us2Jw9Pnr3A5Qvn8fb1ZcToMYT4mS4+qqsR4OhowmJdj00bNvDH373N6FEjefnFhfRI7N7Eva7xmqB7Z2UyOXdS08jIyqasIBdoyD5mOJc0dk5GAcdKbIzGo6vFYDh37O3tcXF2xslJW9FZJBJRXl5OZVWVNpC5vq29gwNdEhJIiO9kljCbe1dbeicFQSAzI50LZ88gKOWIxWI6dEkkoUvXJvP5ftavlpITPKwMT4uXLOW5+c9YvLnSXPFaK1H4beP/PFEAEEkr2Hf4GKnpmcx/8jFcXVzQOHlSWVnFspUrCQ0JITfjHjMnTyQy3HRBn8qqan7ZvguVWs3UCWMJ9G99pVCNRkNeQSH30jLIzM7hxMmT7Dx4jP0/fULvzh2aXmDCEnDjbiqnTp1Erdbg5yCmQ3gwYU4CLo4NQkzsaewKoicczfTb6u9SrwQWl5RyOfk6OXn52mBTsZiu8R1J7NoZsZtv8500QktKQ1VVFSdPHKeosBCNRkPX3v3pFJ/QpN2DFoR5ULT0Pb79/gfmPfdCm9zrYREFaL0F4NK1mxw5c4Gnpk0gOMAfjbMnCoWC5ctX4OHmSl5hMUP79TKbOUlm48TWzZspq6hk9OD+tA9wa/W7KggCxaXl3MvMJi0rh6Qbt1m7dTdfffhH5kw1ncWsMbLzCjh06hzy6go8XF3oFBNBVEgQnu4PEFza6HtY6oqkcfKkurqaK8nXSLl3D0Gj0bo1xMXRt3cvIxc2c2RBnw3KgnvK5XWcPn+RlBztHEtIiGdAv35mCYq5d70tlRNTmWJawi8bfmbMuAkWxQP9loiC4XhMuRjlZGexffMmJk0YT3yCVvYJgsCWX36hokZb6CuqXQwjRo0xKQc1Gg3H9u7kbmYuiT160Kl7r2YrOptDZWUl6WmppKamci8lhXVr1vDE4zP5+wfvmyUThr9jeVkZxw/soaqqCiexhvgOcURFhOPvJDbecDJ4Zy1NN9qad083Z+TyOq7fuk1yajYqpRJBEAgJCWZg/wFGNRfMBSS3Bmq1muQrSdy8noxarSYkNIwhw0c2Kfr2v9r0ataV0eA3uJx0BbVaTe9eLU+Nxn02/i2tROG3jf/zRMHwBZXU1rJq/S+EhQQTFBnL6TNneWHBs9od/9py1mzaSoCfL2OGD9FfIwgCW3fvo7SsnCdnTsPFpWmOddDufkvqC8RIZXJUKm0F5draWm6npKJWqxGLxYQGB+Hv68Opcxf58oef2LbkS7pHNCIdBkqFIAgkpedz/lISgiDQKSKIQb26Yyuv0lseNJVNM0sYkoUmRKHRPe4XphQPtVpN8o1bHDp+imkzH6ddu+hW9WnpDqNarebUyZNcS75Kv/796dmrd8sXtYCHqdwY4qcff2DBCwsRiUQPHCz9WyIKoHX7WLd9DxqNwKChw1m/ZTsLZ03Atz694L7jpyksLmXeTGN3wJPX73Eh6SpPzpxGoEu9G5+kzOg9ValUSKQyJLVSaqUylPVzrK5Owa17adTVV4MN9PMlJNCf9Ow83vjw3/z4z78wefQw84OWlJGek8+R81dQKFWEBvgysl8PnJ3asPDZfcQKmdt9EwSBlHv3OHT4KN26dWFAv35A2xAFw3sLgsC16zc4duIEcTExjBk9yiRhaMtA0eZgeJ+W5s2endtJ7NmbQDMZ2hqjObLwaxOFluBiJ2Lf3j1kZ2UzZdpUfl67lkmTpxAY0Q6Am9evceH0cRa++JKR8nkvJYW92zczbfJkwtpryXrj3WiNRoNEIqG2VkKtpBalUolKrUKlVHLv3j2qq7RWAi8vbyKiIqmuqua1Vxbx8sLneePVV0ySBN3vVlJczKFDBymrrMbD04uJY0cT5OkCNLy7LcX2WEIWWnr/LK39k5Oby8HDR/D28mLq5Elm7/mgNQ4yMzPZsWs3nl7eTJg8Ve+B8KBEoa1JAhg//9TUNDIyMxk1coT5C8z0ayUKjxYeSaJQW1tLUXEJcrkMmUxObEw7s7l9Tb34t+7eIzM7h7GTpzdpczHpKleu3wS0C3JVdQ2Tx42mQ2w7k/2fv3yFz75djLeXJ9GR4cREReLro81sYmtjQ3Z+PnVyBbNHD0ShVLLz0HFeff9jOsREsew/HzZkY9G5FLn6UFxaztGzFyiv1NZH6NIxjn6JXcDV2yj4GWhCFlq0JjRGvQKTX1TMv75Zikgkone3BB6bOMbI57y1wZhqRw+WLFvOpStXuHXzNgEB/rz/p3fp0rkzN27e5Oz5C0ybMhlfn/sjLIbC+vy5cyRdvkxgYCDjJ05sVc7wxmgLJaclsrP4h+954cWXmhy/nwXnYREFhUJBfmExdZXFSGVyQgL9CfSz3EJUWFLK4VPnefyJJ7CVVxudS83M5tCpc3qlokYipXe3BAYOG2GSnKRl5fDPb5agVKloHx1JdHgoQe722NvZYWtjQ0VVDfeKKnj2sanY29lx5MxFXvvgXzjY2/PVh39kSN+mj6e6MJvjl66RW6idNxHBgYzo291kfINJmHEHNNsGkNRK+fi7ZZRVVBLfuTNPzpqGhwm51Rq3vR27dnPy1GnOX7iIi6M9b7/yAqOHDSErJ5f9R44zcsggog0yPlkCU/e/m5LCocNHcXF1YdrkBh/1XxuWKmnLf/qh1ZWOzZGFh0UUBEEgPy8XmVSKXC7H3cOD8IjIFq/XKZC1tbVs3bKZGTNnNUmOUFFezratW/RuOFKZjLDQMB6bPA6RSKR/jvo4hfIyFn/9ORnp6XTsFE9ERAThERHY29tja2tDjVxJ0vkzPPPMfLx9fLiSdJn3//xnMjPS+eBP7zH3ySeajLNKqZXNKXfvAODi4c3QEaP0Vh5Xe7Fe3jYmCubWm5bmhlqt5tvvf+Tm7dvEtIvmySljCQ22jCya6//ipcts3radCxcvohbgyafmMnfeM5SXlbFv317C27Wnew/zr0dzCr9hdqTCwgJ279yJIAiMmzCBkBDT3g2txf2uaaZ0J8Pn89Oy5cx76skmlpCW+tM4eTapR2ElCr9tPHJE4dz5C1y4eImOHTvg7OyEk6MTx0+eZPTIEcR36tTkugcpjiaqrQBAcPFqci4zO5ctu/bQuWMHJsyepz8+Yfhgti/9Um9B+PGXPbzy+z8D4OLsRP8e3Xjr+acZNajBl7tGUsvRMxfIK9JmTPD38WJov15mC0LlFxVz+dot8rIz9PEGaknTdIs2rk0Xc3s7W7q0b0fn2Cjs7Gy5k57Nwr9/zbkr11CrGxZKdzdX5k6bwItzH6N9F21F3qrqavYdPs7QAX1xcXFm1/7DnD5/ET9fH4IC/Ll5+y6JXTvTpWcfPv7Pp4SHhfHF198wfeoU+vbuzft/+zuuLi6UlmkVq327djB08KBmf4PWoKCwkB07d2Fnb8+Ux+bg4uJyX/08KFlojijcuX2boqIihgwdarZNawjDwyAK6xZ/w8ZtO0nsmqAtnoSK5Ft3iQoPYcSAPq3u01xqVB3MZTMqr6xi3bY9+Pl48d6/vyIrr0B/TnX9EIKgzZmedPse/Z54BQBXF2c6xkTz0txZPD1jsr69QqHk1KUr3L11AwA3F2cG9+xCeJDpgoAVVTVcuplCem4+OLiYjEswN26xSEyHmCgSEzrg7ORESVk5i/78D05fvEpxWbm+nYuzM+NGDuPlV1+lb+/eiEQiVCoVO3btpnN8PNHRUezZt58zZ8+iVKro2SORs+fOEx0dxcTx4/n3fz/F2cmJNT+vJzQ4kD+99RoL3/wDoSFBpKSmA/DNJx/xwrwnzT57Q1hCUKqrq9m6YyeSGgkzZ0wjwL/5jFcPC80RBplMxpaN63ly3vxW9flrEYXuiYnC2i07WblkMZ0SOuPs4oKjoxN5OdkoVSqmzXysyXv1oLvLune1cUXdkqpatm/ehEqlIiMtlR+//Up/TXpWDvZuXqhUKqqrKukSGwmAu7s7fv7+PD1nNm+/8bo+kYdGoyHpylWuXL1KnSDG3t6e3n36EhIdZ3KeiJTamkS379zVF1rTxSC0NMcAIsND6dFvCJ6eHkilUj786J/s2rOXtPR0fRt3NzcSuyTw+ovPMWb4EP1Y9x85jrenB70Su3H89DlOnrtAbl4+o8aO5/iJk/j5+fHE44/x09KllJaVc+rMWcrKyli6YiVvv/kGYrGYzIwMAJ56+mk+/uI7/T0fNOuQQqFg5+495OblMXzsRGLj4ky2exgJOixZ+3Q61bdLVvDSq2/c130a62X2AVFWovAbxiNFFN5+43VcnJ0ZO2Z0k/M/ff8NE8eMJCSo9dVQzcHU7sbtlFT2HDxMbHQUHbr2JKF7Q3qwBXOfwN/DBV8vT97+6FMEQcDT3Y3Rg/vxyXtv4ebijEd9Xni9H3SdAlcXJ4b1601YsOmx5xYUaSsr12oLKwUH+NGzSzwhrq3P0FKnUJB8N53rKemkZObw6YpNANjZ2aJUagtBjR06gB//9T7PvP0Xjp65wNn92+nRrQsffvI5azZuRi6vIygwAHldHc88MYur12+xfst2APr368vV5Gt88Of3qKmREBUZwdlz5/nmy8/JzcsjKzub+c8vJDs7h48+/IA3X3u1zTPNVFZW8eU33/Lma69g79n6WBJzaIsAza+//IKXXn6lxXoVlpKFtiYK7WPbCe+8vJB5T8xqskAfOXEasVjM8ETL6yfo0JoUqSVl5azYtIOQQH+mjB6KR/wA/bmR/XowqEdnBEHg4NnLnE66gaebKz0T2vOfdxYSEh2Hd71PcXllFfuPn6Giqhp7OzsGxEfSISrcNCmpqubo+asUl2s3B7w93EnsFEtMpy6tzrilUqm4k5ZJ0o1bZOTk8fcvF5v+nveS+XzJWv7570/46MMPeOfNN9i6fQevvfk2giDQoUN77t1LZcGz85HJpHz25dcATJ08iW07dvLOW2/g4e6Op4cH6Sm3eeeVFxGLxeTkF/Duh//k8InTzJoyke/++w+TlgtDNEcSdO+z4ftfV1fHytVr6N2rF926dmnV82krmPMX37xxPf0GDLIoPWpjmCILbU0UOsXHC0/MeZKFLy1qYv1MuXuXpKTLzH5iTlvdzgi637BKCcuWLMHW0ZlRY8fRrX2Di2hEZBRPP/c8pSUl1MnlLFv8PS6ursTGxvLh3/9BfHw8Id5u2ox+UimHjhwlPz8fsVhMfGIvunVP1Mt0IwInlXLuzGmyMtNxtBXj7OJCr84d6dihg7YGQis29QRBID0rm4tJyeTk5fH5d0soLS9v0q409Rrb9hxgwWvv0KdHd07u2cK99AwSh47Fz8eH+A5xHDp+ileffwZ/P1/e+/u/gYY5Nmf24/To3h21Wo1cI6Jf//7EJySQlpbKmlWr+PH77+jYsRMrNmymfXTzSRIarx8tueNoNBr27t+PSqVmzJQZRucedhY/c2udbsznLiZRp1AwZEDf+8pyaCUKjxYeGaIQHhYmrF253GTgjFhWSXlFJYeOn+KxqQ9WmdmoXwOisGrDZt798J+EhgTj5+NNZVU1MoWS6zdu6tv7+XhTUlaOl4c7c6aMo0N8Ak/MmIKnjXbxyS8qZvfhkyiUSsKDAxk5qK/ZbC2ZufkcOHEGpVJFWFAAQ/r21JMMI5hze2gGGo2GJ975iM0HTxgdnzt9IqcuXmHSyCF06RjH37/+iaycPP71/h9ZumY9hUUl/O3dt+nfuyefffcT856YyaihgwHYtH0Xu4+cYumP36PRaLCxsaGiopIflyxh3tynCApsIEG379xh4LCR1NbWAjBi2DDeeuM1Rgwb2urvYg4XL13G1taW7t26Gh1vyS2o8Y6bufP3g4OHDuPh4UGXPgNabtwI5ohDWxOFdlERwp3zx82e/3HFGhY+85TJc+ZIQGM3AnPtTpy/zNzX38PNzYXI0BCqamqQy+u4cvOOvo2Hmwu1UjkqtZpnp48jLjKUJ8aPICRA6xZVUytl66kr1Eik+Hh5MGbIALw86pXkRnOltKKKPSfOU1MrxcfTnWG9uxPga2A9bBxXYOAeaAk++WE57/37K6NjzzzxGJeuJtMxLpbho0Zz7vwFVq5ew7Qpk8nOziE1PY2pkyfz7u9/xyeffkb3bl15/lntzvjV5Gv84U9/ZtumDdjb22sr4CoUfL/4J4YPHULnhAT9AlxVXU2/0VNIzcgEoH/vnsyf8xjznpjV4rgtXfhlMhm/bNlm0u3k10LjeZp67x7JV682UaxaC0PC0NZEISwsXLh++45ZArr0p8U893zbJDtojPS0NGbPmolCoSAmLpaaGglSqZQb15L1bkq2trao1WoEQWD0uAl0S+zB6HET6NApHld7MSqVit07d1JemIuTszMjhw8jNCTEpMysra3l4P79FBcX4eziwoABA4mK1pKSlpRRS7B9zwFmzTfObjVrykRy8wuws7PlqVnTKSwu4f1//ReRSMS4EcM4dzmJqIhwdm3fzqdffAEiER/99QNAa5V+buFLfP3Zp0RGRmBjY4MgCKxZtx6f4FCGjxhpfK/pUzl44AAA3Xv0YsSI4fzpL+YDupv73ubw09JlzH2+qatqS2hpLbP0+saQFOewYt0mXlv47H3XtrAShUcLrS/D+z+Cp6dHE5Jg+LJ5e3lSYVBm3Rx0L3ZzgX86xUYqdkIqk6GRlZOdm0tJWTklZeX88Om/6NQ+DgdHB6LCw3BxduLS1Wt4e3ly/vIVwoKDGTaof0On0kq27T9CZXUNT8+YhIODaZ++8soqdh0+TnVpMZGhQcybMdls2weBSCTC1aAewpTRwxCLxcjr6hjevzdfLV8HwIzJ45HUSnn3bx+z5Mv/4OnhzpjhQ7DzDGBV33qXofqUZzNmP8WM2VoF0sbGhhOnTnPl6lXeev01Ix9GudiBqE5dyS0sZuvmzcQnJNCnZyKnz56lsrjBteRBERUVycnD++nRPsJImFkqpM1V1pSLHe6LLJSVlZORmckLC56D+xDgv1btB88H8D03RQhaIgkqlYqaWikKhZKKqmryioqhCMYM6c+0MSNwdnIkyN+XQD9fkm7cxs7Wluz0FCS1MmaPH27U1+krN7h04y7zn5qDu1ujDEX1Sr5MXseeE+cpKCnDz9uTqSMG4O5q4KJmigQ0JuONgqzNfX+RgzMuzs7USqUMHzQAXx8vSsvLGT18CJ99u5hN23cREhzM1MmT2Lp9B2+9/irv/+ldevbogY+PN9999YVRf926dmH/rh36z7fv3GHHrt08/+yzeNcHi+vedTcnT24kX2Hf/gOEhATTq/8gzly4ZBFRsDSg0cnJCXmdvMX+2gLmdl8NlSGVSsWO7dt48+139Ira/QaautnbWFSM7X7g6+fbrCIpEonQaDQW5/lvCYIgUFVZSZ2ijjq5nJSUuwCERkTwuz+9j7OzC17e3oSGhZORlkpNTQ1KhYJryVeY99wLRhbf9LQ0tm3dwuw5cwgOnmZSFqrVao4dPULqvVScXZyZOHKo0UYRLchPQx92SxAaHERufgEd4mJI7BJPRWU1wwcN4B+ffcWJM+cBeOvlF/js28UolAo2rFtDcFAwXl6efPThX436CgoMZM/2rfrP+QUFrFn3MxOmzaJdTEyTey9fv4WrSZdRKhT8+Q9v899P/s2rv3tPX4DOFExZ6HTHza0trVX6Dfu5X8Jgbjw/rd/GiwtfQvMARUNb+xtb8b/FI0MUGuc2NvWSqVQq89VbG5v1mnlRdQrO3JdeZ/ue/dpjYjEJHdvz53deZ9qEsU3u0a+X1gWpfYxx0HNtrZQfflzB2KED6Nwh1uT9Ll+/xZlLV/Hx8mTqgG4NiouyBpTaPwVB4EJqAVdu3m64d10tIkwvOM5ODswYNRgnx6bCQSQSsfSj3/G7Vxeyfsc+UjOzOXXxClKZTB9ADVBeXknezUucv3yFfr16mNw9aHyspLSUVWvW0m/IcBa+9hYawJQqIRKJmD5zJlKp1p1KLm8bhUP3m7qioLTeH7xx4JSlMCVg76vGglzO4qXLePuN10z2b9S2jarjPizY29khlcosK7xnQQD8pz+t4k+ffK3/HBoUwO8WPsPzT8xoUsCtR2dtDFKXsEapRjUaFm/aRUx4CK/PnQHUAcZEISu/iB1Hz+Ds6MD4wX0I8jPow0Dpv5OWwcnzSWiEegWzfo7pa5HUG2AFBGyc3Jk6Zhi+3l4mv+vbLy/k6cdn8uPKteQXFHL05BlqpVJ27T+kb5OXn8+9Vde5eOkyPRK7t+iSBlpF7Ktvv6NThw78/u23mlU6G7tpqlQqi+7RHPTzSaNBVlXWYtCjOZhTmMzdz+QY6u/joJbz43ff8dTcp42eh6u9+IHIwv8Cce07cOvWTRISTNf9aS0OHTzArOnT9J/dPTx4ZsELLHzl9SYF3KJjGtaonn36Gp3btX0rSqXSiIjplEm52IHKykp+2bgBgCFDhzFh+GCj63W/WW6ljIOHj6CoqwORSDupdHVHDOokiJUyNBoNI4cOol1khElL5LShvRl/ZBtfrdtKYVEJh46foryigr2HjDMkvvr8fJ54ci4R4eFmE58YQi52YP3KpTg6OPDma6+idjCfGrlbonbtDw4J5eb1a2Smp9EutmlcQePNHnMbUTro5kVt/RqpO9Yc0TB13NS1lqIxWfhly1YGDxzYYlrm+7U0WPHbxCNDFIqKm6YAbYzhgweyY+9BpoxvGsPQGmVRt+i//7s3cHN1Ydf+Q8x9fAb/+fDPrdrlKSuvYPHKtby28AVtWtVGgq66RsLyTdvpFNuOV+cb+KQa7GCmlUnZf/wMAL26JrDwSQPf8Wbcjsoqq1i5fT+2NjY8Pm4Ybo3Turr6cPXIBT76yrT/9OPTJnPrbgopaRn0GTwCS5ZaudiBrXsP8uxLrzbJwmEIiUJDXV0dXWMjEASBXr17s2nzVosVh+agcfKktiSXrxYv4/WFz913P4Z4kPHcun2b3Xv3sWjh8xZlhzAkJ4b3/dUIhLh55WjG5PGsXL+Jl559uk1uN3/WVNIyczh8+jyxURFs/vEzXFoiIa4++ndfoVTy2cpNzJ00Wu9+BOjPK5UqVu88iJODPS8/McV4/tYThNLyCrbuO4JSpSI2KoL5j01pUKabyWgkr6tj064DVNVImDZjBkEBTQN7c/ML+Nsnn5vsYvSwwWTl5nHy0D6tBVIp0W8MNIdjJ04zfkg/2ndt2VI/Ycp0Dh89SmhwEAe2rLsvkmCooOlko1qt5vPvf+LxaZNNX9NMcSUdLJ1X5jZ1dP0XFBayas1apj7+JP4BpoPTHyX0HzCAr774nPj4hAeuSA8wdNhwXlz0MmfPnKFWUsO6rbtbFb8hCAJrViyle49eJHTpSq1SwNW+YVwykT07t2+jpLiYp56epy/4JqfhN5ZKpWzZto+ammqCgoKYNX1akyrFhjAkozv3HWLnvoOMHjaETu2bbrZJFFW8+7ePTfbTo3t3lCole09e4Nl5xjKrOZlaWFiAk7s3U6ZNw5RdyZB8fvz3v/LN5//Fy9ubNZu2mSQJja8xB0MyIRc7sG7tGgb27290zBQsXTstJQuN+5FIJCxfuZq+fXrTI7G7/rjZzVYL9C2rVeHRwSMToyASiQR5tTbQsLmX6+fN2+kQF0P3zqaLOkGj9FwaDZu272bogL4E1BdRKy4pZdHv/kSv7l3JLyrm/MXLJF27wfXTh5pYDMyhsLiEVet/4c2XFpis9Hj05Blup9zj2amjcTahVGfl5rN1/xGiw0KYOHKIeYLSQoxCtaSWpZv3Mrxvd7q2rx+7wQ5qdY0EVxdncG2oyvn0i6+zfqvWxSEyMoI716628G0bBJW51J8KhYKzFy5z88Y1ykpLObB3N9eTr3Lq8jUiIqNwc7Bs964lQaiLi3jj1VdwFrRWipYUFsP3qa12QjKzstm+cydxMTGMHTO6TRZ8aLpQeLo6t21Glq5dhQsHtzfb5uTZ81RV1zBxzMhm2xli76GjxAV566siKxRKXnzv7/j7+uDp7sq+Y6c4dfEqm77/L9PGtpyXG0Aml/PZT6tZNH0UXh5N43dupWWx69hZnpk6Bn+fppnLKtR2/Lx9L64uTjw2cYzZ6s96mIlRUCqVrNm6m6CIKEYPG9LkstpaKfb2dkZy4NNvF/Pu3/6l/6woymj+3gb4bulKFj03r8lxjUbDjdt3SUq+TklZOUdPnubQ8VPsWr+CEYMH3nfSgMY7uUqlkv+u2MS8J2ZZXHjyYewwVlRUsn7jRjw8PJg06wmzFXWheSXNnFuf7po2TxjQoYNw4fKVZttkpKdz9Mhhnl3wvP5YSxsHFy9cQCTCqKbMR3/7kOLiIvoPGMiypUu4cO4cb/7+Xd7+45+Mrm38DHTfXRAElv7wHcNHjyG6XVPXm9KSYn5evZJxEycTE9e+SV91dXX8smkjMqmUJ2dMxctMJj9DmFrfBUFg94HDlFdUMvfxGU3kqVSkJSeGVal379nLjNkNG3CpGVn4+hm/r+bei59Xr2TqjFk4NSIzgiCQnZVJ0qWLZOfmkXz5Igd27+B37/+dOfOfx8/jAYoyGsDFTsSqFctJ7NmTzp0tSxbQmg0tS+tPyOVyNvyyGaWkkidmTMHFzzhla2sVfWtl5kcTjwxRSOzWTTh78hjQ8sv544o1DB88gNjoqGbbKRQKvlq8jCnjx3D56nVKSssY1L8Pzo6OJAwwVlauX75IbGyMRRMjq0zCps1beP2Vl5ssziJpBUtX/0xMdBRDB/Zrcm1VdTWr1m8mKNCfaRPGNrlet2jfy8jiXNI1vBzFxLeLICq0+VzRP+8+TICvd5NgrMYZnT785DPCIqL58ptvAVi7cjkeHh6MHK4tWNXcbkTqvXtkZWUyYuQoQCtUk2/e4fuvv2Tvzu2EhofTtXsPvLy9GTBoCP0GDjK7y94an3xHTR2CIHD85CmuX7/Bwuefa3H3/kF2MppTenJyc9m2fSfBwUFMnTypzTM66VAr2PLl55/xt79+0LbpUevTELf0fHbtP4Sri4vJd9gQgiCwYt1G4jvEUVaQS1pWDh1joumX2Bn/xOEo6oukAZzesoo+3S1zt5DUSvly2Vpemz8HN52rngFp3nHkNLI6BY+NHdpEqVAqVazcdxqxWMTsyWNNEnWAguISjp+7hIO9PTGR4WZdB3U4evYiBUUlZitAa5w9qaqu5oU3/0B0ZASffvMjAD98+i8C3ByZMGJwixbLujoFqzbv5Pk5DcG6BcUlfLV8HSs37cDdzYXePXsQ4OdL7x7dGTV0EO5uJpIgWIjGJOFmShq7Dh9nwezpeIVE3ne/jdEaIlFZWcWmzZuxtbNj6uNPNmu91MGcQticnBEEgZ83bGLRgmfaPD3qsZOnW1TsrlxN5vadOzzxeNN0qTro5PGB/ftQqVT4+vpx+dIlAgICmDp9OkMGDuD6tWR9+/9+9R2PzXlK/5419/2r5SoWf/s1E6dOIzRMW4vDMG7j6uWLpN64ytz5C5pYqlztxWzfto3CggJmzpqFj6/pGiyKyhKOHDuOUqkkws+TPj27N7upcjsllf1HjvHaC8+Ci7fZdi++8hqunt5889WXALz/1w+JiutIvwGDcG1mPui+35olP/LUAm2QdKVcha1Syi/rVvPziiVIa2tJ7NWHoNAw2sW1Z9jocfj6NZ8m2Jwbm6k4GGl5CZs3/szoseOJiWtv0Vp4v1Zvc5YIhULBL+vXUFVVzePTJuPrY/5Z3w8M5/vFS5cZNHyklSj8hvHIEAXDgmstKTGCIPDLjt0UFpUQGOBHv1499EVXFAoF6Vk5XLh8hRqJxGgSCILAf77+ATs7W6aMG0NQgD+7Dx7myRdeRZafapHbkdrRg/9+/gXvvPmGSYF36MhR/P186RYTZvL6L39YysJnnsKxPrbAnHnuiy+/YuGTs6gsyGb1zgP8cUHL6fR+2HaYF596TNuvCZ/qK9du0GfUJKNjOp/RdjExpKWm8tOy5cycZXrhSr13jxcXvgCIqKmuIjMzAw8PD56c9yxPP7sAP/8HdwtoLDSVSiUbN6ynuqqawX16GJlFm0NbmDwNhZ1YVsm+w8coLillzsyp2NratllGCLm8jtEz5nDuUhL//NuHzJ/3NEERehLc5kTh3L6tLTdEaxW7fusO3t6e9E7sRmx0FCKRCLVaTXZuPpeTr5GXX8jEsSONfIxX/rKDnPxCJo8aSlxUODkFRXQcPpWc8wcIsnCH+ss1W3l+hgklX1JGTmExZ67c5PFxpqsxr9p/mpED+xJswlXIEN+s+Jm50yeiUCr5bvVGPnij5QJe36/eyEtzHzN5TuPsSWVVNf5xxpm4bGxsUKvVONjbU6dQ8N4rC/jwrUUm55hEImXWorepqpGgVKpIzcpBLNISnjeee4rYqIhWV2BuDMP3TyytRBAEdhw8RlZeAXHREYwZ3F8bcNvKIowPMiYdrlxN5uSp0yx49hnErk2tRObQElEQBIHXX3mZVStXsOD5hfzxvfd4as5szp09C208x7onJgrnjh+xqO31Gzc4euwErm6uJHbrRkJ8J2xtbREEgYLCQi7fvMvdu3fp27evkSUh6fIlfl67lqnTZ5DYowdymYyo8FA2bNvFgMFDm3x/U1j78wa69ehJRKRW1hgqtQqFgvUrl/J0o2w8OoX43JlTiMVievftjzm42otZt3YNowb1w83VjW+//oLfv/piiwUz95y4QIcOHYiMCDe7cRUZFkJlRYXZPkaOn8iXS1abXNMFQeCtRS+QlZ6KCMjLzkQmlTJg+CieXPgqnbomtmgh9nRsvYvf5fNnuXU9GR9fP0ZNmIy3S9OMiOZ+r7ashp6bl8eaFcu06d5bUWTTFBqnmP92yQre/NOHjB87hq8+/5Tvf1zMp198BW08x6xoWzwyMQo6WKLgiUQiZk3RpkktKS3j3KUkdh84jEgkwsHensjwMCaPG42nh3uT695+uSHLw3t//zf//eYHXpj3pMWuI2t/3sD0qVPNtr916zYjX1nUxOdfLKvkTm4JUe07Yu8VYHS+8cIpllXi6uWLk28QSpWK8Mh2pivFNnKR0AlFcwt81z4DKS/MA7TB4+kZGdy4eYuRE6dy5vQp/vDOOzz/7HxeeuF5oqPb0aFjR3x9fbFzdGb5Tz+gUCjo1acfA4cMRS6T8cLLr+Lr52/xs9MtRM0FEeoWfFd7MXdu32bP7l08Pe8ZvUlZFxLdkuBsKfuVJdBdq1Kp+GHlWhK7dGbsiKFG5x/U5eLHFWv47NvFZGTnAPDe+x/w3vsfPFCfzUJjeaaXYYP6M2xQf2okEi5cvsrRk2cQiUTYiMWEhQYzoE8vI799XeG1udMnagsFikSs/GUHz/3uA0YM6IO7q2Vm++PnLtG5UwccfYLQ0GjX29WH7acOsHDKcJPXSqQyZPK6FkkCgIO9vT4lsb+FO2qODvYoFEqzVc09PdypzrqDWq3Gzs4WqUzG6g1beHnBPC4mJfP+v/7LP79ZwsffLSMsJIiEjh0I9PfD3c2VDVt3kl9YRFhIMC89+zS5WRms/vKfxCZ008+x1obtmnpHDTcnCiRKVvy8iakTxjBpqjYgVqj/97BgyhVQEAQ2bd6Co6Mjr72yCDCdJMEUmnM7kig0nD6yn9+/8zalJdqCl0t++pElP/14P0O3GC1lT9Od75yQQOeEBOrq6rhyNZkVq9cgaDQgEhEUGECnDh2ZNHKo9iKD/hJ79KRrt+7Y2Nhw7uxZxo4aQWxsHPEd4vTKpqnnojuWnZVJXV2dniSAcSaoQ3t2MnbS1CbX1yjUuNqJuXr5Mi+++rrJ87q+JAoNGo0Gz6Bw7Ozs8A0Mwc5Tu/Y1V2PAz8+P8vJyAqPMW/jupWvHXyfYIBaL+f6rz3nlzXdIvnmbH7/8L7u2bCI+2AtfP3/iOsUTGByCm7sHd2/d4NxJbXrod//+Men37vLKu3+la+9+rYpPrJRraxJZQhhkUik7fl5F527dWLTo5WazbRmuf4ZoztLfGhJx7MRJ0m5f549vvPzAWbcM5fK1S+eZ88ofUKq14z985CgxHRMeqH8rfj08MkShqqqazNvXiI4MZ82mLchkDctEXV0dndrHMXRg08ns5+vDpLGjLLrH3dQ0Og8YyaSRQ+jbty///eYHNiz7nmkTxlp0fVJKNh4e7rQzcHkynMDXr1+jfZfuJhcJjZMnu/eu5o1XXzHbv+46jZMnGnut7+TRpNsMGtZIKTKT512wdzZLEnSC2DDArH1cHCcvXqGsrJRhw0dwIUnrV1sukZN6L4XUu3eoqCintraWjz/7irgOHenaXbvbUlNdzdp163D38GDclOmtCqJsLCgbEweNRsPS5atxcXU1ysBhCEt9MO+HMBgKwNyCIlZt3sn8Z+bpY1yM2raSLIhl2h3cjKwcTpw5x6Yt2/QkYd7sWfzp7ddQ2DgRE9OOZT9vYtHCts23Xltf1G/voaPk5jekq1UoFAQFBjBx9Igmbl1urq6MGDKQEUMGtti/3NYZ17D29OjckVkTxvDHj7/g3ZcX8OFbL1m0MBWXlnMjM98omNqw8nNVdQ0uzk7YedVbrxrF8Px86DxPTB7X4n1Am9kIID07l6jwpsGfplK/+np5UlZZqbeMGLbRp/SkUn/M3t6ehI7t9ZnF9m9eC2iDhdOzsrl5J4WS0jKq5Cr+9N67xLRrR/++fXBQ1aJUKvl5yw6OJd1izsypuN5nJXJzZGHvvv3kFRTw5ju/x14pua++Lbq/icKWhmOrkUj4YfkaJoweQYduvfTnmgvMtCRwtLCggEsXzrFjyy8U5OejUCiIi2vPzr17KcjPp1v3RE4cP87kCZa9L5aiqqoKaLAWONUH76uUSlxd3RgzZTru7g5G64SDgwN9+/Smb5/eZvs1xOB+vcnLy+e1Vxbx1bc/MHHSZJatXGU0d81lhFIqlWzfvIlX3nzHZN+CIFBaUox/oGl3191799F7yIhmFV7dOZlCrQ2OFqnQ2DoYrXHm4OPjw820TDoZHGsi2+0csLOzwxXtuzBlxiy2b/mFkZNn8J/vlvCf75ag0WgoKsjn7q2b1JQVU1NdTVxMO156+VX6DRiE2s4RQRA4emAvO1b/xPipM/APCNSTAEvQHGFws7fhatJlzp85zZPz5utdoixJzStRaCx2z20u0Nlws2vJ6p/pEBvD80+37J1gKsGBqfPleRlcTi9i46795OQXIqvTjuHKif3kV0oZ0K8fqalpdO7Rq0kfVvx28MgQhbT0dHbsO8AbLy4gJTWdaRPH0S2hkz7n9IeffE6NpNZkxqOWkHzzFvkZadjb2WFjY8POQ8c5cOIsR9YvYeCwlgMrdULt+Mm1vP7Ky4BpRfX82bM88+xzJs+r1WpqFWrqbBybXQB1xz3c3flh7WZEYjFB0R3QWOCOVVJqOvC5OaH8xJwn+fzT/zJ7zpOEhoYiUWiwt7enU3wCneKNdwRqFGokyvqFx9GFJ599nqKCfJZ99yWjJkwhykQwnCVobGlYv2YVg4cNJzQsnFplw/5mS4KzuV08SwiDprqU1Kwcbt5NpbSiEo1GwN3VhT8uelar5JoRns322ejZV1RW0aHPECoqq5q0vXDlKpHh2mAyDTDnyafanCjkFxYCWtLcvXMC/Xv30AeJrt64ma9/Ws7bLy9srguTyM0v4OKVZDzd3enbM5Fzl5K4fP02a7/6F49PsoyIA2zYuc+ka4+OLJy/eoP+Pbo1nGhEmkvKK1rOqlSPqLBQflizkTqFkuefmN7kfqbGkFNeQ//652WKJJjCsEH9+XHFGhwdHfVJGGxsbGgX35128aZd6TR2ntg4wVPPPEd1dTXL1qyjW7cu+gwprbWUNSYLBw4ewsPTg3Fjx2jvZ+t5X/22eN9GMRCCIJCVk8fNO3fJKyhEEATEYjGvLHgGJydHfd0Wc7CEIKjVah6bMp7zZ043OZeScpcIPy8i/LyQA4OHNA1Of1BkpKcDcP3GTSIjIxgxbCgu9STvyNlL/PUvf+azL7WF+lpTt6Wysoqjx4/j4aGtObTk+go++NtH/PufH/HqopdQ2DaN2zJFFrZv3sST8+abtQSXlhQ360aalZFG916mCY2hku3paEt0p86sXbkMjUbDiNFjtWOxbz6Dz7WUNPz9W7YIGiIiMorbN29w/NABhozU6ghisZigkFDiosxXVK5RqBk+ZjxKpZJdmzfi7OLCmElTmyULxbUNcVf+LtpnXilXNSELmRnp3Lt7h4WvaNNmG1p6LEnN2xqyYAhBECgqLubmrdtkptxCo9GgVquZMWm8yc0uQ5hKUWuO6P/+n5/z2U+rAOO0twDurq5Ed+oGQGzs/ekFVvx6eGRiFNrHRAs3zmj9OlUqFRevJJN8Q/uSS2Uypk8cT2hwIGs3bWX+k4+3qu8Jjz/NwWMn9Z//86e3eG3+HL0LUnO+uLpFq7SsjMNHjvL4rJmAaaJw984dCgryGdrYAlCPq1eSyMrKZsrUqU3ONVeyvaXS8ABLV//MsEEDiI4MN7vQmiMnarWa1evWo1apmPH4E3rrgKUFiQRBYMOqZfTsO4CY9h2ApgtGczAUmhUV5ezfvYvZT2l3lC0RlLraGpYuuIbPr6i4hEMnTlFdXYOtrS1xIX4kxLXDz0JXlJb8uDVOnpSXV3D2/DlmPG56J8fXx5srx/ZRXFpG504d9L+fXOzQ5lmPenTrIpw7sANBELhx+y7nLiWhUqmQymQM7teHXond+GnVOp57anarTNNf/biMd97/u/7zGy8+x1//8DauWG4WFwSB71dvZNHT2vlt6tnWlReybtsenps9vck5gMKSUn7ZfZBXnjFfTfh+fe/3HzmOs5Mjg/r1aejLhNugOew7fIzU9AyemfNYE+tAc8qxrs+d+w7i5OTIyCGDWjt043tpNHz541LefOn5lhvXw1z9GktQI5Fw+MRpCou0KbAjw8OI7xBHaHCQ2T4Nn4eh3DJHFKS1tVy/dpU3Fy0kOyvTZJubVy5TVl6uL+yp67fNM4sZxChkZmVz/ORJZFIpEqWGmJgYxowdx8YN65k+bhRurQhEP3LsOOMnT9V/njh+HN98+TmBBiljLbHArFjyI88saLoZYCjvDYN9wVieK+rq2LzsO1547S39GtpYsW4s8xsrxubk+q2bN7lx4zqPPT7b5HlD6L6T4bhvJl/h7MnjTJ75uFmLSGMYjv3O9auk3b3NhJkN8sOQGDSGjihA0++84odvePmVV03KUVNuuI3nWGtIQl1dHWdOnyIr5TYAgYGBJHTqRLtAT4sTbpgiCUb3sHPh+q07/O2TL9hzyHQMztEdG7G1saVb34H6DaiHsY5Z0bZ4ZIiCjY2NoNFoOLpjI7VSKR3jYgkLCTZqs2rDZjzc3HB2dmTU0MFmemoKsbQSeV0dwx5fQGiQP5u+/9TofEvuOgAbf9nM8GFD8fXxaVYYL//pB+Y/bz4oct/unQQEBtG9R8tzxpSgMKUM7923Hw9PD/r37dvkXOOxNrcjl5aTx45N6+nVfyBdE82Pz9xuy+bVS+nZfzAR7Yx9S80RBVO7Kst/+oEn5j6Do6Njs4Jy966dPDm7gTAeP3SAPr0bzJvN5XnOLyjgwKHDyKvK8PfzZeSQQUbxLC0JzJage5+Sb95iyaqfWbd5OzU1Nfrzezaswtvbi9PnL+Lv60v3LvHEJCQa9fGwlBiRSCSsX/odPl5e+Pp4E9/BOCf4qXMXKCoppaqqmmefanmx1kEsrURh78pbf/6QnfsOkXH1rNE5S3AzJY3S8gqG9G36dQ3nqGH6UFN9X75+i4ySKqZPbDuXkms3b3M7JZXHpzUkA2gNSdBBUlvLinUbiYoIZ/yo4a1WvrfvOYCHu1uL2aiaw+ade+jRtYveemXu90m6cZuZL/2O7FxtXNO3//mHRW4LAJVV1ew7fIyKykpcXV0YMXggwYGWJzto/GzNkYWC/HxWLl3M6mVLsLWzpay0FIAP//4RI0eN5mpSEkqVir7dO9Ota9M0lA9DiRGJRMJHH37AkEGDUKvVenci3Xcoz8tk34GDlJeX8/Ybr7fqHRAEgV+2bGXu/OeQVpaZVEJNrU+6ZyaXy9mycT1znn4GML8ZtHHNCqbMnI2Do6NJeV9WXMSZAzuZu+DFFkmCDqbkvaGMLy0pYf36n3nl1deatGv8XZrbxCqVyNm/dSOIRIyZOqtZt1hTJODe9avkZaUxdOIME1cYwxxRuHvrBqXFRQwY2uCxYMrlqKIghz+88Sonjx/F0dGRsRMn883iZRaRBLlcztEjh8nNycHe3p4BAweR0C7cqI0lMqnJ/Dd053T1QSqT8fWKn/l+zS84OzuRkqq1mI0bNpDP/vI7rt1OIbOkgr49E+md2A1RvZXX8D20EoXfNh4Z16MunTpw9cYthk3Wuh30792TYzs3GbW5knydIQP7sX7LDkb1TDASkuaUfd0ksLWxwcPNlcycfJNtWtplLC0tw9fHdGyA4cLl4uJKQX4+QcHBJtuOnTCJlStXci89gxHjJppM86kTqKasDIaTTyyvYdXadUSEhdG/b1+L/XnNCVn/gEAWvPIG50+dYPn3XxPbtSfx3XtavJBNf+pZNq9eilKpJKZDg4epKbOsqUWjrLQEN3ePFkkCwN8/eF//d9cunenQvkHhNcrqUv93mRz2HzxIaWkZISHBzJo+Te8OAJgMsLtfiKWVlJSV02v4BKMxOjg4kJ9fwJFzSQzs349uvfri5urKvdx89h7/nmefeRobt7ZNU9cYNjY2zH5ukf5z4/z+h0+cpltCPOcvX2HC6BEtmqqhYY7Z1dUQ6utJXkEharXaIoud4SJ1LimZJ6dNMNtO10/HuFjOX7pCn57dTfbdvU9/Cg4eYdma9cycMgFXf9MZyJrcw0x+98079yBV2/DUnLlmg4ktfXdcXVx45fn53Lh9l8+//4mOcbGMHjbY4l2/KeNHs3X3Pg4dP3lflgWNRkNefiEzJo1vkcBt2XtYTxLEYnGLsVwymZyDx06QnZuHh4c740YMu++0i41dpUy5ayoUCgb27EJdfdX36HYxREa3o6KslJs3bxAbF0dEVBS+ro7USGr4z2ef8+QTswkOCjLqt63h5ubGnz/4UP+5MDsTT08P/f127tqNp6cnaWlpnL9w0eK4BJ2bkqeHtq+s7ByiIs271ZjCzWvJxNfn7W9O2R48fBSbN//C+BmmNwt8/AOI69ab77/5mpGTpuIXoH2mzVmPaxTqJnJf515z6uRJrl1L5sWXFjU517h9jULdrGuQra0tE2bN4XZGNst//A7vgCB6DxuNg6OxS2Kp1LSlwKtdJypkdWzfuI7+E7Q1HXydWy6maYizJ48z74VFRsdMPe/01FRO1md7lMvlvPv+h03aGEKlUnHm9Glu3byJg4M9w0eOYtz4BplpWATPErS4iSMp4/FF77H35AUAAgP8GdCnFxWVVdSpBa6m5+ITGEJ4TBw4efD50rUMHjW2zaqOW/Hr4JGxKPTo1kXY/8sa/GK7EhYSTOrlU00UVLVaTXFWGsEBfq3eifvr59/z0VeLeXzSGNZ+ZVzl0aQ/cqMdrX37D9AuOpqw9saF3hor4RqNhu+//oJZsxuqiJoSEEUF+RzauxtbWxsGDhtJSFh4kzbN7cBcOH+e8+fOMufJp0zmsG6JHLQUsCUIAreSk7iRdAlPHx+GjZ2EfX1au+ZMsQCHt24gPKY9sZ27Ge24QPMm6Y3r1jB+0hRc3dxaJAqOmjquXb/OkJFjWLhgAR//42/6c7qA4XvpGZw8cx6FUomHuztjhg/BKyTKqJ05PKhVYfWWncx/W0tmnJ2ckMpk+nP7d+9kyKCBRqbmMpmKpT8tZsTIUcQnaGNDJApNmxeD6t4lQSivqCA7N5+qzNtav3ADCIJAfmERgf5+Fimvhs9p56HjTHv+DVycnShOSW62QJap55uZm8+1W3eZPNp02lPDebpq/S907dyJrvGdTLYFqFCI2LpjJ7WSWoYMHkh8p04tyg3DdyI1I5PNO/YwfdI4YqOjzLoHWUISzKVBTklL59CxkzjY2zN90ni86hVKfd9mNjEOHz9FrVTK5HGti9k6c+ESTo6OdO+SoO+/OdRIamk/bAqx7aI5umNjk/P5hUUcPnEKiaQWB3t7Rg4dRHio6arAjdMNWwJzlgWJQsOtG9cZPVhrWfHy9qaivFzf7p///oRFL79i5JaoVqtZtnIV0VFRjBg2VN+2rYtBJXbrJsTHd2LNup/JTkvB368p2S4sKsLL07PFVKGNkZGZRccu3bR/p9wmKDCwSZvmLAp1dXWsWLGcOfMb3M7MrQUXTh5FpVLRf5j5ZCFKhYLj+3dTUlRIp26JDOjbx6LEFjq5X1Fexoa1a+jRqzfDBg8wGmtjGBKEltYgHUqlCqpKi7l64hAqZR3dhozGJzCEgqqWc2oVZ6WScfU8U59+zuh4Y9LQeI1DVs3JI4eYNMN0GmUdDNe+sUMHkJ2VxfXULGxsbIzWv8rKSo4dOUJJSTFisZj+AwbSoWNHk7KsuYBmc2jOoiCRyvDuNxmNRsDfx5visoY59vi0yaz+4Uv9HNM4eSIXO7Bzx3bkcrlRmnWrReG3jUeHKHTtLJw7uJM9B48wY94LPPPELCaOGWlknm/8QqekZ+Hh5kqAn+mdfkNs3nOQd//9FbcOb20iyBovxKYUAo1Gw1eLl/PiIuNdAlNCTa1W8/1XnzP7qafx9fNvdudGLpNx9uRxCvK0mW+cnV3w8PLG09sbNzd37FEjra1FKpWSl5uDSqXEwUZE+w4dGTjIeEexOQGrg6VBWoaoLC3h7KE9IIIhE6bj7NqyX+2hretp17EzUR2MiVVzPp2/rPzJyG2rObLgqKkjv6CA6Pad2LhuDZMnTkAikXDi5Cmyc3IQKWXEtotiUN/erV6MDWEJYaisriHpxm1SM7PRaLS/gaOgYMH7Whe34ivHqKyuwd7Tj593agnnocNHWLx0mX63Ube4Hzywn9ycHOrUAAJ/fOv1No9RWPz5vxn/2Fx6dOvC49MmM2vKBLNKfWFxCZLaWmKiIpucMzUfE0ZNp/DyEbwbKbyW4stla3n92SdNnms8T5etWU+vxG507tTBdPv6eaxWqzl99hy3b2v9d+0dHPD18cHb2wsvT080tZVIpTKkMhm5BYXI5XIEQSDA348p44yrbt+Pu5ElgfSS2lo279hDTXkJM8aNJCTQOJjTFFk4dPwkKpXaKGVvS/h2yQoWPTfP6DuZesd191MoFLiGteeNF5/jkw//jEKh4NylJG7eSQG0O4wjBg/A00bd5NomfVpQQb3xs9J9lkqlXL9xk+S7qSjri/jZODjzxiJtsP+55Ft6heX82TPUyeV4ujnzwnPPcuT4CfobFPq7eOkyydev6z+/8vqbbV6rZNsvGxk7cTL29vY8/9yzzJg6VW9VaAyJREJqWrpJ16jGqK2tJSAskjPHj9Clc9Nd25ZcTWsUatYt/4mZc57G3sGhxQ2js0cPIRKL6TvEdNydDoIgkHLzOpm3rqJWq7G1tcXT2wdPTy88vb0BETKZFJm0lrKSEqqrKgFwcnJm/LSZ+LiaT0CgW78q5apWEQQddKRArVJy58wRKovzaZfYn8Do9hRUNhCGIM+mdQ2KMu+Rc+sqPcfPamjnYdzOkDj4u9izd8sGBo4Yi5uHh9lsSI2R2LEdTk7OnE66jkajIf3OdS5fvIhGo8Hdw4Ohw4YRENCUFBqiOUuCJWRBqVRy6146yVeSkNZb6ewVMv61ehsZBSUcW/k54e3ao1KrSc3M4WpqFkP692XAuGn8489/4O3f/xHQvoPpaWkcONwQx9DW65gVbYtHhiiEhgQJX3/8d8aOGMqtu/f4ect2vvpxGWq1Gi9PDw6u+YHOHWKpkdTyw9pNbD9wlPNXrvPas0/y2V9Mp3kzRL+pc3l30bNNdistsSaA9uVftXIFk6dMxdOz4bw55VylUrFq2U+079KDLok9Whyf/j4yGVWVFVRWlFNdVaVVatxdcXJ2JjgkVK/QmUt9Z4iWCIKlQleHvLJKzuzejJOrGz1HjMfWrnlz7PEt64jt3otgg3zYjYUqaAlDUUE+yUmXmDFtmlEfLRWgEQSBy0lXOHvuPO4e7gwZNIjICK115n5ciQxdZhpDV5wqt6CIs0nJlFVoMxd5ebjRPb4jsVHhWnc4SRlP/f4frN97tMX77dmxjeFDh5j1wW5ri0JURJhw9fgBqmpq+GH5atZv3k5Gdg42NjZsX7uU4YMGIAgCazdtZf2WHRw5eZpundpzafd6ozSlprDwj38jNDiAv7zW+qxJAEjKOHItDS8Pd7rHm1H+G83Xnzdvx83VhYljRjZta0YxVSgUlFdUUFFRQWVhDjZiG5ydnXB2diLI3x8XF2eT1xn2ez874pYs1mq1mvU79iGRSnli8jjc3RpqT5iSVXsOHsHB3t6i1LVCTRmL123mpbmPtSqgWxAE0rOy2XvwCPb29vTv3ZP4DnGIRCKLiHTj7FDNzTHQPqey8grOXrxMbn4Bgp0TTs7OdElIoFPHDmgctRsVX37+GR/85c8t3v9vH/2D195406wi1dYWhfDwMOHcieM4Ozvx9Xffs2v3Xi5cugTAD99+zexZM7G3t2f/wYMsXbGKXbv3ACCvNl9ATIfvfljMydOn+Xn1SpPnzckRw7WguKiQY8eOM3pKyz74ABdPH6cgJ5tJjz/VrEXOUClWqVTUVFVRWVFOTlEJgiDg7+mGk7ML3j4+uHt4WnRvwGIrgilyoP9sQAgEQSD7ymkq8jKIHTgWF6/m3StLMu5QlpVCh6GTTZIJHXHQrW271y5j/gsNG16Gz6W5bEflZaXs2r4VtVpNn549SOzRo1Vpx3Xvt1imlSOixnWWGskfSW0tF5OSSUnTxhzYqRV0iouma8f2uGikqEoL2X/0BFP+trjFew8d0I8DW9bprQrwcNcxK9oWFhEFkUgUBHwMjAfcgHTgJUEQjtefFwEfAC8AXsB54GVBEG4a9JEJRACDBUE4aXD8r8BMQRCarb7Ro1sXYc2PX3Ho2EnEYjGPTZ3E7oOHmf/yW/o2Ls5O1EplRtdd3beJ+Lh2SGqlLN+0nXkzJuHh7sbJC0k4OTqQ0D6GQ6fOM+/NP1GUdNRo4rWGJADIZDJ+/P47Xn/zrSYC05zSvnvHNlxd3RgyXBvUZGkmIR0sSaPWGK0lCOZ8Nc2horiQpGP7cHHzoPeYKWaz4wiCwJGNK/Tm3sbQCVZ/F3uO7dvJwAED8PXT7qTqvndzVoXKyko2rFpGl86dGTbEfHB7SwqaUqlkx94DfPDxZ6g1Gm6f0yr4Go2G9Kxsrt28TamByTXEy5V+iV3w9TZTOVZSRmV1Db4DpjGyXw8KS8o4vuoLJCIn3AJCuHHrLlkllcya0ZC5x5RwhbYXsF3jOwkvPTsXmVzOpLGjkMrkdB3U4Frg4uxMrVRqdM3uFd8yfPQYNBoNa1avZlj/3kSHh5J86y4SqYzO7WNIy85l3NMvcfKXFcQ2k46wWUjKEFy8+ff3y3jzubk4ODQloqbm7NmLl0nNyGTuYzOMdqQt2cF+2LC0jkdjhbu6RsIvew6iUCqZN3MyTo6OZpX77XsO4O/nQ79ezW9IZNy+Tnp2HqMG9bWYKCiV2oJsnh7u2riGRnPdUhc9tZMHx06d4eMvv+XoybOUF+bh7OyMIAjk5edz/foNcvO08RAipQwvTw/69OhOeGiIWfejuro6BvTrg4eHFxnpqew+fAJHR0ds7eyQ1taye/s2Xnj5VSMZYoostDVR6Na1i/DGq69QXClhcJ8ehIWFEhrVkCLSxcUFmUymtz4C/Oujv7Fo4QvY29uzbcdOQoKD6d2rJ1nZ2aSlZ5AQ3wmFQsHUmY/xpz/+gWlTJjd5HoYw53qqWw+2rFnO4NHj8PVv2KVuLr4gNyuTA7t3MG/hyxbH0+hgabCzuWt165Ul65SOIBgSA0PkVjTINo1KSX7SMeqqSgntMwYH94Z4mlAv482ConvXqSkpIKZ/U1c/HXkI8nBEo9GQtGcjYx/TZu0z3AwD0+u5IAjs2raFqqpKZs5+EkdHbX+m4jMMYSo74pWryfzw00+sXL2W86dO0LWL1upUVlbOtRs3yLhzA7Wttn6Es7MLveJj6BDbrqnXhqQMVWkhGo2Gp/7yKXdyisgqqWD3jx/TMTocpYM7Hm6u/Pv75fzxd2/rYy0NM/ZZicKjgxaJgkgk8gSSgFPAN0AJEA3kC4Jwu77NH4A/A88Ad4H3gYFAe0EQaurbZAIBwBVBEPob9P9XLCQK5w7sAEAur2PVhl/w9fEmMjyMnNx8hg/uT12dAhdBzsmLV8jMyePomYucuniFIoP6AUVJR6msrqH90MlG/R/dsJRBvRsyy1hKEsBYEN+5fZs7t28zdbrp9IymCMPxI4eprqpk0jTzOzimCMT9kITswhJuJieRm52FVNl4sVBpK+YiokbRILyr6gWws4cXvqGR+IRGYVef69qcwAWoKSng3qm9hHXth190R5O7LRqNhhM//8igxxdgY9vg3mJovvV1tufU1rVMe/IZRCKRWaFqKBhLiotZuWI5r77+hknXotakSh0wdioXryQD8NlHH2Bra6PdLRWLiY4Ip0t8R/x8m7q3Nackpd++TrfpzyOV19G/ezwbPn2fXo+/TGGJNivL+jWrmDq5IYPOr0UUdPNMo9GwcdsupFIp/fr05O69NPr06I69nR2uLs5cTr7O5avXSM3IYu/BI2Tm5Or7uLR7PX7eXkx45mVu3E3VH1/52Udmg5Fbg4qqatZs2cWr840z7DSn3F5Lz+PkqdO8sOA5y2Ir7rMAn8bZk9paKZeTr3EvLQONXFuoTCQSobFz0v/dGDo57OriQvsQPzq0i8TNteUCalXVNazcvJO4TvGMHmY+5/+3S1bw+LTJzQYPHzx2gnaRkURHhjdbBA20slAul/P5V9/w/HPz9YkcWu3vXI8/fvwl//1xBQAvzp9LfIc4BDsnRCIRwcFBdE5IICw0tEFhMUP0DGVxXV0dPbt1ISdH67aZmZPH3CfncPKEtvLu8y+9wgf/0MajNUcW2poo9EjsLpypD1A9dOQot2/fYezY0dy5c5f2cbEE+Pvj6OhIyr17nDh5GkmthHXrN3I3JUXfx4olixk+bCj/+Ne/+XHJUv3xv7z3Ln/83dvY2Ni0qhhdY6KgVqtZ/f0XvPbW7yxOg1xaUswva1fy9POLcDZIBGEop81thJnasDIkDI3Pq5RK7t68xrUbt1Ao5NQq1KCbV4Kg/7tKptRfUyVVgiBgY++AwsUf18AIJKqmz0habfz7C2oVNSnHENs54NdtOKJGz8PHSzuv85OO4eIXgkdYg4XckFAEeToiqSilJvMmiUPHGG2ENf6+umcmCALLf/qBgYOHEtehY5OxWgpXezF79+zmice0LlID+/XjidmPaS0LIhHe3t50SUggOjrKSD42ns+GRAFAVVrI+Df+xpFk7buZcXAdny7fyDfrtgEQFhxI2pWzRn3orApWovDowBKi8E9giCAIA8ycFwH5wDeCIPyj/pgTUAy8IwjCj/XHMoHtaK0OTwqCsKX++F+xhCjUC1fDFzclLZ1tu/czZsQQo6BFw8VIEATs2/VAEARemz+Hr5avA2Dxx+/TLiKMd//9FeOGDTByh7gfH1pDobxxw3p69epNVHR0c1/JCOcvX+XksaPMW/ACTk6WFYSyFIIgcO7MKZKuJuPl7UP3nr1x9gs2WgAMrQi6nZnGuy/ymkoq8jKpyMugrLoWBAEX/1B82/dAbGtLWYWxNUcnQIuun6W2JJfIwdMI93OnMdyRcv34XvpOaep7riMMl3atZ+xjTzcrVHXIz8tjz9aNvPr6G63e3QIoKMjn7tXL5ORqld9X33xbfy7l4kkiwkJaFSxvSjlKzcymw7ApJtuv+fFrpj8+x+j3+dWIQmJ34dy+rfrPJaVlrNm0hc6dOjBi8ECz33vynPnsO3yMx6dNJi0tjUvXbvL3d16hR+dOrN6yk7o6BRu//29bDZPTl64ir6tjxACDmgUtkPv8ggJWrl7Lc/PnmQwg1eF+ScKNu6kcOXMBFydH+g4cTPtAT5OuAc0RGklRLvcys7mTmkFNbS2CAAG+3owe3B/XRi5Phv1cuXaDQ8dP8cK8OXi4N51jSqWST79dzB9eX2T2N1y1YTOzJk/AycmxRaJQo7Hjy2++45WXFuJu4n6N0fiZVuZnkXw7hdSMbDSChq9X/MydVG2GrQs71tKlV1/jrHUWVDdvrBjL5XICfU0To8fnzOUf//1cvzsL5uvTPEyiAFpL9Oq16/Dy8mLalMlm3Un+9cl/+fCjfzBwQH+io6JYtWYtCxc8x4jhw7h95w4/LVtO6q0bgGVWhMZorMQX5OVy9sQxpj/xlP5YS5tTtRIJK5YuZtSYcc0qtq1NnqHDrbRMLh47iCAIxHXpTnhMe6rVDb9bcy5FOmtBcXEl8rJ8KjPTUMmqQACl2hbn8O7YOpmPnVJWF1OXcxavTkNw8GqwtDi7Nzzr3GPrCeo3BRsHJ/36p0OolzMlGXfwchQR1rFrE5ckfxd7o3XNxVbET999w7hJkwmPiLTo+RiiqKKa3Hu3Sbl7B5VKyZGDBzi4T+vGtnrFUqZOmtRsQgmwjChEzniFwnLjdgB+Pl7cObIdt8Aw/bUaZ0+T7kdWovDbhiVE4RawDwgBhqElBUuAbwVBEEQiUTSQBvQWBOGiwXW7gVJBEObVf85Ea5HwB6YA8YIgqJojCiKR6AW0xIKwsNAe9242BJjpXmBBEDh26ix37ml3LrsmdKJHV22qSd1LLZPLOX3pKsfOXuLj75Ya3aNdRBirPv8HfeqD2SwprtYSZCJ7Fv/wAwtfesmi9jpUV1fzy8YNPLvAuNCRJdVGG0Mul3P65HFysjIRiUR06NaTTp27AsZC2RKCYGiOBfSEQBAEKjLTkWRdRxA0gICNgyvu7Xpg69QQ0Ozs7oCytoqiS/sJiuuIfydtuj/D3Zb8W0moFDLCuw0waXm4fWAjw2c9ja+zvdmAZzd7G+rq6vjpu69Z9PpbrSoIptFoOHroAOmpqcS2i6Rrt+6EhobiJCgQBAEnD28++fBPvPHiAov7NIQpsjDvzT+xdtse/eeO0eEc3bQC71DTGXQa78JA2whYU/OscbDotevXOXtCq9y0i4qgf++eRkXBVCoVl69e58jJ03zwsXEdkiB/Xz79yzs8NnHMgwyzCb5Z8bO+cJqlVZBVKhXf/vCjvoI6NK1+a44oNFaehZoyziZdI/nWXUQKKe07xTOsXy/EYnGz8RqWpoPVoaC4hIMnzyKT1yHYO2NvZ8eIIQOb1JGpq6tj2doN+Lk6MGPcSGxsbIzulZWTy5ETp80WpPx583bGjRyGt12jTG2NxisIAp/8sIJFC18wSiFsCJ0i0Hh3/tKpo5y5eJkAPz96xkUQExmmJ/M9J8wmwM+H3Su+NXnfxmiuloIO333zNe/98Q9Gx27cScHT33R6alOujG2RkaW5tUyH7Jwc9u0/gEajISAggEEDBxil3BYEgdt37nD4yDG+X/wT6RkNqYudnJz43Vtv8t4ffteq2jiGMLXbv37lUmbMeRo7OzuLLdiCIPDD11/y0mtvNOseY+p+jQmDIAik3bnFtUvnqZIp8PYPoOeQUdjVu7KYiztovHbp1iydtUBSf15aWQmARiFFXnADTV2tvg8H/zhsPYKNiLUgCMgyz6FR1eHbfRxiW+2zdq1fs9QKOZXXdxM69Amj63SkoTo3FU8bFcGdEo1ckkxZFzauWcG40WMIDg1t8pyaw427KRw7uB9XVzc6delKu7gO2Nvb42Zvwx/feo3dO7aRka3dBLPEsm6UTtxQPtWThVPHTzD0lb8ZXXNqzVf06ttfL4May05DsgDWrEe/dVhCFHSz73NgI9AN+Br4oyAI34hEov7AaSBCEIRsg+uWASGCIIyp/5yJligsRUss3hME4YfWWhR0MLWYazQart26w5Xk6yiUSkQiEZPHjSbYtYE1C4JAdl4B9zKz6dw+1igjUmsXpuaweMlSXljQkDbNnBm4MZYs/pEFL9xnsCdaRWjJshWAwMAhw4iMarBqNDYvg3miYChoNWoVJcWVSCtr0ai118plYkR2DohExguBWlZNbfZV1HUSXHx88Oo4EJG4YYGRFqRSnZ6Eb/cxuBtkbvHxciL79G68Y7vQoX17/XGdML19+hDde/YkNlIbiGzKsgCwdc0yJk+fiaenmfiARhAEgX27d5KXk8OwkaMIDY9ArJTh4emJSCTCSVDon6u9UmJRn+bQ2EVl2ITpnL50xajN4o/f55n585t1q3iYJtvG88wU0m9d5dylJGprpWg0GoYNGkCH2HZGbUrLyrl64yaxgd5EhZlOh9kSWgqOXrt1NxNHDNbvWOmva2GeLl6ylAXPzjdLJE3JlsZWyl+OnKWgsIjB3TvRtWOcceaj+6jsrFarkcpkKBRKVNWlqNUaXF2ccfELbmIVq62VcvjEKXLzC3BydGTW1Im4urjox5iVm8+GXfuZPGooHdpFGY3p6MkzAAwb1J/GyMjK4W5qmsksSYYL/Y69B4iJjqJT+1iLZeKpM2dISrpKz56J9O8cR0lpGYEu2rmre3Y6NwhL6t8YwlyVZoAvPvuUv77/F6NjL738Cv/69ycmFeiHRRQM0SOxu3Ck/ncwp6gVFBZy5uw5ysrKEASBhIR4BvQzLqInlUo5d+EiAf5+xHdqsKi3xprQOOlFY+X99o1r2KgU9Ojdx+gaUzDs5/iB3XRPTCQ4uOncb4ks6HDp3BmuJV0ioVsi0V166i0tzcXQmdvkKquQUVslp6a0CkGtRFpRjqBRI68uQ2TrgIufdl1xrk9EIqhVyApuU1eegwiw8YvHpt7aIC3LQ6OUoci7io1bAB5xDdkFnT09UVQWIFSl4tNVG9ulszj4eDkhaDRUXd5LwuhZRhtihmQBoDonlZriPIaN1haFbImk1SjUpKXc5eSRg0REt2PIyDGUlhTj5x+AIAj6OeViK0IQBDycGnSi1pAFU0Th9JUbDHn6DaP2HWOiuH5wS/Oui1ai8MjAkqghMXBJEIR36z9fEYlEscDLaBV/HRozDpGJYwiCUCESif4FfCASiVbfx5gB05lFxGIx3RI60S1BKzSVSiUbt++iqqqa2dOn4O3lCUBYnBdhcdo2rdmrN0lOzCyUwcFB5OTmEla/G2CpT7yLvQ1Iq8C59ekjb928yf59e3nyqbn4BwRYtJOkVNSRde8OWSl3qJDUgkhElVRBlVRJhVSBSCSiVq5BUq1BJLZFIa8DQUBQybG1s4F6SwIiMV7RHRA7heHeXhs4rJSUkntyCzZOnri164fIxhacQnHpEEj+uV1UR/XC3ku7kEir6yCkP2mntiK39cHX29i38/+x99ZxcV35//9zBhhgcHeSECfu7u7u7q71drfb7W679aaNu7sbSQgx4hDiBBJiBHcbGGGY+f0xzDBKSLf7/bS/R1+PRx5J7j333HPP3HvOW1/voNBmvHgUg5u3L55iEZnFCrwdRAbF2rKzMhHairESO5sU7zG3IcXcvsmDmGh69BtAv4GDSXqTyJypE4k4dwaAn1b8wvSZs7BTybG2tkZl/XY2G2NlwBy0x5s3rEf8i1dIikuQKxT4eXsyeOiwtwpfDjYCtm/dQofuv6+FXjO4tyfTh4Q2JSS0KVCuaJ04wtkLlxjctzch5Yqcp4e7ruCX9i18l9oTVREQO7RqxrU79+k3sEJRqGzutHHt9evXIy4+3kC4qirSMrPYfugEgwYPYcSg/gAI3vKbl5WV8fT5Sx48fkKRRIJAIEDfQCMQCBAKBNjb22NrK0JkY4NQKERSXEJx8XWUZWW6xNZ6tWvRvnULXX2EgsJC9h4+jlWpjDGD+uDk6EC1QH8+mDOVHYdPkpmdS+c2LXRu/26d2rN60zbatGiGWGwYGlE9OJDwS1dM503/+QqzSXyRwNAurQ2KEFqa92cJCZwKO0OHdu1YvHA+hYWFzP/kc7Zs07DyjB/Snx0rvgLASv/bKmdkeds7oxK7GozBuPCah6cnYrFYs44Va6zFU6dNr7RPLcJOnyIwqGrF+N4FKt4etujn68uIYUN1/78dFc3Pv66kU4cOtGyhyaUTi8V072qYl1IVg5SxoK+vLBgLpC2aNGbPjq10qUKlb/1+27fvwMULFxgxapTZdvr3M16bS4qLObh7O/UbNmb6fMMqzPkyJd4OIgNlwVMsIqtYTnZqEk/uP0CSp8nz0u5hxSWlIBBQKlNSlC9DYGWDorgABALUZaWI7MQo5KmgViPItsHG2ROnao1xatgKSX4j1GWlZD84j0pRjMApCLm03MPuEoI8P5GMW/uw9qyDvZsPJTkpiD0CKMmXIUh8hXu1GpQUynXKgkAo1ORQoFFmtMqCvjfEUyzi4oUIZs1fpNvfKlOocrKyOHX0IMHVQ5gyZwEqlYqNK39mxX++xNraBoEAHiZp5qRYqbm3lV6xOnPvjLG8opW3DIw3jh4gycFWpFE6fD3dSc/WkHp8/7f3eBvsVHLuP3jIy9SMt7b9C/+3qIqikAY8MToWBywp/3d6+d++QJJeG2/A0huwElgILLdw/neBjY0NE0YOQyqVsf/oCaQyGV6eHnTr2B4PS4w07whjwVG7YTZt0oT7Dx7oFIWqwsfLi+TkFGrVMgy/qWwDKCoqYt+e3fj5+7N0+Xs6C52xtchJZEWORErCvWgePn6MWq1GIbAhuFY9OvYdRJFa8zpoPQpaa0xSYj5CI1et2NVV524VO9uiLitDkvKMwjcXsfcIwL1+W8CFksBA8pNTybx1AFv/hihV5UlazrXIenABoaMnNm7VKPHQKAzW7o1Ji4lE0LILHm72ujH4uXkQm5pBSzQWJGNlASAi7CTDx02qmBcLi6u0pIQ9WzfSvHVb3UZUpCjj4+VLuHIxAoB/fPkvJk+dZnHOzcFYqNG3wuqf0/577sTRSEpK2HrgOABpmdk8jouno391i/dQq9UsXbSQ7du2vtPY3gWWlCFzwqBAIKDfkBH0K87lWNg5zl64hLOzE13atzUJjdEK0VUR/qqC6oH+nLlxt0ptdRYxaT7VgoOJuXvvnRSF0tJS9p04S6lSyfuzp2gURwvjValUPIiN4869ByiVSmysralTK4R+Pbvh6vL2eH5LUKvVxD17ztY9B7C3t2fiqGG4ODsza/J4JBnJ7DxyilrVg+nduR2C4lym9O1AWPQTjpyJYHi/CnrYyWNHsuvgEWZPMcwJEggEb829ORlxheF9NQxt+sXejBUGlUrF5m3b8fXxYdniRbp+f1m1WqckTB0/ml8+W2r+RpIcnbJQGYzHYKws9OvXn/S0NL76V0VoxKWLF6lbr55OUNKukfqC7pZNG1m+dAn/axiHvVlCm9ataNO6FVeuXmP12vXYi+1p37YNdetUeLMq2yPeVqDSEp22lZUVb7nUfH9OTuTm5lg+b0Y5UavVnDx9mqTE14ycMBkHB0eT61ztrMmXKfES25D8+iVXr11DLpMhFAqx8/SjZZs2lNhUfGPafSwnT0pJoRy7fBkl+flozVDafUzf6l+Sk05W/B1K5VLqdBpMvkSFk8dwinIkZD8IR5n1GivPupTJi8HOA3VJDvKkaEql9bCxd0Kal4Gdqx95jy8jcvHD0dVOF/JknLegD62ykJ74EpeAGmSVlJq0MfGgHz1CiURC/7FTsRGJNHVCrkWy4j+a971l67b8tNGUKle7N1p6L8yFDlpSFho1bcmarz5j/mdf6dr+umUPvftVTlxx5uw5ho02X9n7L/yxUBVF4TpQ1+hYHSCx/N+v0CgLvYBoAIFAYAd0Aj4w16FarZYJBILP0SgMv6tXwRzs7e2YOl5TBTEjM4uIK9fIy9dw3teoFkzHtq0M4q3/G2jHk/w8jho+lhlGzEGlUhH39Cn9+/U1OWduM1EqlRw4dJji4mKmjRuNo6MjMgsb/ZvE11wIP8vjx7UYO9Wb6TNnUyDX484uVmCjgujLttRsq3GFetiqyM9MpUz1Grl1EdkFEuwFSnw8XPGq6UG9ejUQCAR6DEV1gIFE347i9cOztBo0lly5FcnVXMkJrUFK1EWkhQU41e6ItKAAWX4mpbkvkBdkI83LwN7NB7FHAEUvrmPl2YiSQgeDRDGBQEBagcykoI3+/Glp2PSRk5VF7MP7dO7Ri5ysLPZs3UBGejppKcmcP30CqVRKYW42SYmaVzooKJh58xfoXN36m7k+naW2SvHD2DiSU9M0Y1SUmNxfUG5BVBs52FQqFV4e7gT6+TBjzDBaN21E5/ZtLXq54p484dOPP+LSxQusWruOgYMGUz3QfKz1/wKVUYoKhUKGD9S4yQuLirhy/Ranwy8A4OXpQZf2bXWMO+8SmlNZ+FFhkQQnR706ApV4E3SbnL0rR4/vZv6c2VW6v1qt5uyFyzx7/pJx/brg6+WpScgz0zY7J5fjYeeIvledyWNsmTZ+tGnxRhWcOmfP4H6amGm5XE5SahqJb5LJzs1DUapAjg22lNKkQSihdWvr+tDkGrWiXtNWJL55w3e/rmXy2JH4+/rg7OTI/MljuH7nPqu372POhJFYW1vTv1snou4/ZlfYZcaPHAqAk6Mj9vZ2ZGRm4eNtmNT9NkUhIzuHIP+KRE6toC4pLubS1Rv06d4FlUrNL+s3kZGVzaN7pVy7fBGlUklWTi4JLzWc7M7OTnz+wVLsPf3AyEJprCDk5OXzIO4ZLxOTUaktfB0ijeinEol13hqlwFpD8+jggIODA4uXLiMoOJhx4w0VJH1hKSMjnX/8/e/s27ObOfPm88mnn1H9N4bOVRVVVRYAunTqSJdOHZHL5dy4dZsrkRqmcUdHRzp2aI9P9dpv6cEyLAmNxiF6VRnrgX17GD1kgEFbY0VGX1F7cO8uN65G0rNPXwYPHGi2zyJFGdKSEq6eOcXVSFe69RMwfOQoClUV31h2iQInFTy4ak+zLppvzNvJmufKfCSyNIpF2ajcFJQpNUJ4nTqh+NaqiY3IVm9f8YcezSmRFBJ5dA/VG7ZFHVJdo3DUGEfyw3hyH1/AsU53ZEV5SPMcKbW2RZUVS6lXAwQCAbJ8sBY5k3bnDC612ulCmgBKVNYopMWI7E1lDj8XO65eiaZN7yEmdK/K0lJu3r9FaJNmOLu6cXTXVrIy08nOSCchLhahUEhebjZZ5cVZHZ2cmLPsA9w8TBVurXImKfcsSCQSnsTG8vRpPMpSQwXFWl0RqmxVWp6fiGav035r1lZWODs6MGfiaLzcXVk4ZZzZ3xA0RAj/+eKf/PDTCvr37cOGtasN6IH/wh8PVVEUfgZuCASCz4D9QDNgMfApQHlC8wrgM4FAEA88Q0OVKgH2VNLvTuA9YDqanIX/J/Dx9mLMMA3tpFqt5lViEkdOnqFIIqF6cBC9u3V+KxNAVfA04QXjRw59JwaVQ8dOMXzo0Cq1TXzzhr37DzBpwngC/CuEReOF+XHMbW5F3SG4enWysxawf6cdpaUK/vWTTGedUavVFKcm8q+PHIi725AWnWNp1fU6dvZifP0DadStFY7OrtiIRPi5OCApKiT56SPe3A1DrZBTu09fQmppNqgiRRntg3qT1r0Nx/bsIKhuI5o3barxUoSM4uate+Q+OYtdcA88ajUn5zkos+JQSXORAtK8DGydg0m9tg+3xgMQu7pSUignJ0+KVbmFRWt50Y/plElLUFkZKgk3Ii/x9Wcf8SLhqWZ+w69wM/IyD2PucO3KRWYtWoZKpaJBaH0cHBxRqVW8fJHA6s3bDdhQtHNpp5KTnJLCpcuRFBdLsLKyIsDDmcYN6tO3R1eLFcIrQ3ZuHoVFElbv2M+m/cfw+G4VCxbMZ/LECQgEAsrKyoi5e4/dh45y6MABPvrkE/bsP/C7M2P9t9BX2p2dnBjUt6L2QnpmFhcir5Odk4OHuzsD+/T4XRTz2KQsQuvVeacx3rv/gAahoZV+49pnKSwqYs3mHQzo3YN+PTWFGM2JqfEJLwi/eAUPDzdev5nJlt1elJUV0baVoUU1KSWdKfMduXarOv16RtK/VyQiJzcCAwKoXjuUZh4emtAjkQi5XM7D6Bts23MAqUxOi6aNaN+6IoS3WnAw7334Mbu2bsLV1YXhXdsgEAjo0LIpdWoE8926bcwcOxzP4BBatu9I0dUbnL8cSa+umrDAMUMHsX7bbhbNNvSaWQmFlJaWGsxPZcraw7hnLPr8G12uzamtK4l5FIdKpWLVxm0smzcTgVJBkJ8XLeqH4CC2597DWL77x6cE+vvp+ofy78bRg9z8AiKu3SI7Nx+hUICHqyuN69ehS5sWlbKY6SdKgl5Oj0SCVFrCjq1bKZJI+OXnnxk5ejRLli5DJBKhVquJj4vj5InjbFy/nomTJ/PqTTJu7u9m6PlvYCn52xJsbW3p1qWzrj5MQUEB127c4PjZCOzFYvr27YeXt7fJddr+q5ozJ5FIdFSnVR1bdk4OSqUSH6P7m1MalEoluzZtoH5oKB+8bz7AQKJQkZmRwekTR7GxEfEsYSIn97uhUslp07kYpBUCtUhewldLIf5OMI06RNKk41Vc7G2p4euHV5MQalfrjK2tLV7ODqhUKhLinxD/+ColxcVI/Pzo1X+QnrLsSs/6H3PixAnexJ5nQO9hZBYriXazJ6t+CImXDuPk1QCxRwA5z++isrFDmfscgUdtlDIJ2DlSmnoXa9cgXX8ASlsPEhKe62hU9ZOaAUrlckR6+09CYhKHf/qCmxEa4otZn/4buVSK2NGRbSt/pPOAYTg5u+Dm4UlInXokvkjgycMHDBg2kradNKFpxiFlUqmUG1evkPQmEaFQiNjBkdAGDRkzdpyJsc0S0YP+miCXK7C2tuanjTtITE5l+5HTtG7elG+/+EznRU1MSub05Zv8smoNbVq34unjB1QLDjb7m/+FPxaqWnBtAPA1Gs/CGzS5CSvV5RfrFVybg2HBtcd6fbxGQ6H6g96xfkAYEPu2ZOYmjRupo65fNXvu9yiMpLJ35eWr10ScOYmLszPjRpinrqwqVm/axoKZU6vcPis7h8Mnw5g7bZLBcXOVWyNv3OLp85fMnFTBrGBsTb124wa37z+mTZs21GvSknNhVsyYWLH4DB0to+/gMJLfvEJaquLaxdHcvlJRCOvbDUUMHqx5N/SLm+lXdwSNsnXk1BlKpFKDglbajeBcxEWev0qkYe/hZJcoSCuQkZiazbldm3BvMYzspByKs5MpenIWa+8GOksP+S+w8m6AZ53WOvdwQew5+ozX1FJoXs3VgAEp6tplfPwCaNJAQ8mXL1PSrnqFJaVR89b0HT6KwuwM1q/4gTlL32fpx5okx+N7tvPp+0vp038gC5e9T5NmzXXPCxrL/9kzYSS+TiQoOIg+ndvj5FTB6qQ/H/BuioIWCpEj12/foddwjSXGwcGBAH9/0tLT8fXxYeCQocycPZuAgIpQNjuV/PenbtSrV2IJFr0KenNgro1Qmk9Wdg5h5y9SIpUya/L4KlUWNTefKrErW3btY/zIYdjZ2VY6Li3kcjm/rl7DB8uXvfWeCY9iOB4WzuLZ03X96+5dfp/4p085G36eurVr07dPb06F2TBqXIWHY8rYIqaNP8+D2Meo1QKOh43m0rUK5+zBvRIGDaiw1ukLb8bfWeSNW9y5/5Cl731oMBahNJ/Y+GecDr/AxzMrrHgKkSO/btjC2OFD8Pf1QWXvyoHdO2jSMJT6dTTWuyOnztCsUUNqVKuIwz9/OZKQ6tWoWd20KF5GZhZXb0UxumcFU7Z1jWYGbf713gKahNZj8IxFdGrdnHM71yES2RB5O4Z+k+fTvFF9Plkwgz79B5p4L25GxxB99wFenh70atUIbwvUppXBkrIAmrXq4cMHdOmgSeS2tbUlICCQgoIC7Oxs6dGrF3PmzqdFaG2Da3/vRMtmzZurL1+9bvZcVYXxylBcXEzY2XOkpKYyddIkXF3fnu9mrDhox3Hj1i3E9mKaNmlscN6Sd1FQksd367axeMF8s/Vr9JGVnc26rTuZOm26TqkxViYyMzI4cvgwHp4e9Og/hEsR9gb72IBRcsbPusvVq5GUlam4ET6U2DsVtKzafcxJZKVbz42/Lf3vec/+A3z+6ScG3mSAl0lpbNmymQ6jplEiEOnCc2+GHaYYD9TiYLJfxCJJvAuqMtR2mndXLc1FXSpF5F1X5zEXiUBd+IKA1t3xcLOnVQ1NW21BtsuHd9F91GTdM2z42yJun6tYkwfOWEzTjj349zSNjLLz2mOc3TxIT0rksylDETs4MHn+MkaPGatT+LV7+IuEZ1yKOI+DoyMdOnexSLtqqa5IVfa5F4lJDJn9HvHPEhAKhQQF+KNUKpHJFXTu1JG5s2fRpZNhpfjfex/7C78vqlQCUa1WnwZOV3JeDXxR/sdSm+pmjp2BKmR2oUnaW712PXXr1qF71y4WObZ/q9IglOZTy9eVWtMm8ehJPDv2HWLy2JHv1kf5h/P89Rt8ncUG8bP6542hTZB8f/YUs+PSoqREyuZd+2jaKJRZk8ebbVdYVMTGfcdo07oV783XhFfIhEKGDVZzcZKS3Ts1P/mxA3YUF3fhp/U9+cf7dty+UmFFGDBKzsCBhkqCMbRW17KyMhKTkhncr7fB76BdXHp260Li8w208HOiSFFGvpeSTD9n6nrO43zEFap16UhSoi+FwTXJvn8WoV8dpHkZqN1rUpb3CmhdnhfhikpgT0zsa1o2rGGQ/OXtIOJ1wlNad+xKvkxJYUE+/35vATYiW0oVctp37420WIK7lw/f/+0D/AIC6dJTkwhcVlbGx8sXl89vCd/9+59YWVvr4rWLCvLp0q0rY8eOp/8APZf477Ch67oSu2INdOnQFnn6SwqLikhIySU8IgIraytC69ejZmgTfH39DK67cevW7zYGLTKzsjly6gwDenV/60ZvjLcJ6ip7VzyCXJk0vSZZ2dn8tGkXy5csxlpeWPl1RhZtbahLiVRqIsRbgkwm46dfVrJgbuUhRyqVil179+ForeaDRXMN2YzKn6+0tJRtO3bi7e3NkoULdG0G9FMyeaKcHbs0Y9q+z4mcvJbs39yM+e97culahXI5eaKcAf1MueMtbcpvUlJp3byp2fWtUbA3l6wMDT7W1tYsnj2dDdt3M3/GFITSfMYMG8Sv67foFIXBfXvpzmsRFBBAckqaWUXhdPgFxvXVWCjVajUL/vYVNYICeJWUQt+uHcjIyqF7h9Z0GD4FXy9P5k4chag80bH7WA2tsJe7Gz9t3Mn6XYdQqVVYCYXk5BXQqmULRg0ZyOI5FYnGKn6b0q0P/XwFgUBAkyZNyZeUIJVKefniBZcvXaKkpJiatWrRPLQOIXpVw+1Uch48e2Wp69+MrMws9uzexYCBg3BxMRTi3yUMyRIcHBwYNWI4CoWCH1f8yuIF8yzS2Gph7p5qtZrrN27y/rKlgBlOfaP/q9Vqfl2/hVH9emGvkoLUsK6OFip7V86cPUdKWhofL12oEWaN7q9Wqzl9eD+FRUUsmDGZMluNAj5ssJrw8aXs36N5r04ftCU7059v1k/jh7+7EHunYj0YMEpOx56lgLXZmHzj9So5JZXGDRuaKAkAIUF+BPt40CjAg6JSNZ5iEY38nPFzncDZXZvwaNKaJFc7JDUbkHHzAEKvGsjys1ACKkksSpkEaV75s7n7U5qdTUmhHA83e4Ok5rjo69Rr0VZ33/A9m0hOiAcgsH4TlAoFXqEt+fe0ITi5edBl2Hic3TQGsW0/fEl2Rjrtu/Xi1IHdXDl7ClRl2NjYUFSQR42QmgwYPJQZcy3XUjGeo9+CGvUb8fBqOEqlkuevXnMjKoakzFyqBQfTpHFjateqaeBBS0tPf0uPf+H/GlWvlf5/DA93dxbMm8OTuDjWrt+Ii4sLo0YMMxFmfg+loVFoPWQyGQeOnWL0UPPxkrp7GG1karWaw2ci+HDuNLPnjZGZncv2Qyf4YM5UjVvdQvu7j+O4eD2K2eNH4OzkaDYE4sr1Wzx6Esf8ieOwt7cDveS+kpISQkP30KPXWC6c11ilz5/2oJFRrvXwsQr+9ZMcofDtlGzpklK2bFjHzEnj8Aw2H2N4NTyM/t274Gldiqc1yBztCXK2pY5HXZJvRdCoqT9pNdyJfpXL4yx3nOo0IDtFExNcFH9e109Jfj5iZy8UBVkk5/kYUMsV5Ofh5OIKaJK9CvLVPLhzG2tra0IbN+XGxXDNeFM03NF7LtzC11UjtJUplfTo3ZeQmrVo17GTpqKpTEb0rZsUFRVyJ+oWbdu1I6SmIf3n/woCgQAXZ2ea+wTTvHlTAJKSk3mU8IIrly+hVCpRqdXcuHLpf6IoeHt50rp5U7btPQjA6KGDcKuCRfJd4eXpydjRo1i1Zh2LFswzqLhrDsZ5Ddv3HtTlHb0Ncrmcn39dxaL5c008QfpISk5m9959jB87huCgIARmPCRx8fGcCjvDlEkTTYq2qdVltGu7ideJvYi8qgmJOnUuGAejb2zyRDnrVkkxZmc1pyRIpTLWbdtJr66daVjfMFVMnw61WoCfyTkRIFKXIs1Ow6Gc4ah2gBfPHz+gTkg1RICVUk5ZQZbO8hjsas+9qBcIm9UzejY10oJcXT8qlYpb9x7xKimFhVPGsmr7PgBmffRPAM7sWEOjehXx8gvGDaGoWErfTq1wc3ZGUlJCzPNk0jOzef76DU+fxtOmpSGNKbydItcSKsunAU3dgQYNG9KgocaRXZSZQlz8U27ejqJUoQllefg4loOHj7zzvd8GL28v+g8YyKmTJygoKGDgoMEE64Vg/B7KAoBIJGLZjAmsWPET7y2Yja2tbZXobLXv3uGTYQzv0xUrWYHheTO/h1qtZtW2vQzr1ZXq3s4W97H8Mis2rFpH904dGNBlKCiLUdm4Gtw3IzOLbXsPMrhfb+rXqYXKxgYbvZCpIUNO8OpFfaJua8gIbl+pRjfD15UBo+R894scodBQxJEoVCAykhlUKvbs3kVAQAADR47FsGSbBgqFAqFQSKCLHRKFiiBnW4oUZXg7iFC0bYLItYRAN3+S80qwVvUkP/E5DrWaU5KTgqQkEwEqA2VBVVKCJF9GjrNGmdLuZ6kvE2jQpoJuNe7hA1JePqP3rA8I3/g9AEe/0xBQjlz0CR0HjdKRezRp1xmFQk6LHv3x9gvESiEh6fUr3rx8TmFhAeFnwvjnT6uRlKos7u2Wig6agzE5hfEabW1tTb3atahXuxYqe1cKCwuJi3/K/hNhlJQzkKUnJbJp6zaL9/gLfwz8aRQFLULr1ye0fn2ysrPZun0H9mIxI4YOwdHRlCGhqsnO5tCqeVNKpDIuXb1hlnMczC+YN2Ie0K1da/Mau8QwZjknv4DNB0/zwbQxhtSAeigrK2Pr0bP4BlXn/TkVlj/j+MD1ew7RrEE9Fs4yjDkWSvO5GR3D7YdPmT1lEsvmOTJ3YYXVUx+Nmz+iU/f7wCCcROZjuGVCW2zLZJw8HUZmVhbvffixSby3Pufyi4fRDGxZB3JeA+BY/sdb7MqAru0pyX1BaN0mNPJzJspzPGHHT1C9cXdKCuWo8mugLMrA2skHgFK1E4VpqRDaUGOFKY/pvHLuND0GVISKiUQiCvPz6DN0FK7uHgRUq0HY4X2kJWvKfEgKC6BcURDZ2rJ93yEAUpOTOX8uDKFQyOL3PiD8TBjxcU9YsPwjXdKX/jwYu7CNf5eqwFJir76gExQYyPU7D9i2dQv37mpYfpo1acLP33/H+MlT3+l+VUGgvx9zpk6kpETKgWMnkcpkjBjUH28vT5Ox/Vf3CQhgQL++7N67n4njNewXxv2a+34zs7Jx9fZH7BkAb6HnLC0t5edfVzJv9qxKlYQTp06Tm5fHh+9VFOrT71OtVrNrzz4cHR14f9lSk+/7xYuXHD52jAnjxjJlorfFb6x1q0d0aHcNmWwIYrFhpWXjZ70ZHcPtmHvMGt4PZydHi8JX2KVrzBgzzOy54X17cPTsBSYO1xg8+reqz8rdR6kzaQQA/Vo34MyZMwzurgkncgSKzViCL92Mpmu7Vrr/q1QqikukeLm74ePpwftzpvLD+m08SdAkK6ekZ1YoCpIcfvl0EQB5BUUcvXCNYqmM6QO6kFNQyJmLkYRv+MaiwPFblQUt3haXb6eSY+fpyUvRK3bv3ce165oaB/5+fvz03bfMmDP3N9/bElxdXZkwcRJlZWWcOnGCkyeO07dvP2rWqqUb63+jLGjfJbHYngUzp7B2606Wzp1Z5f1QXZRD+pvXjOrRHkryK/0N1Go1a3ceoH+3jpWSK9yIuU/U/ccsHD8Csb19BW2y3pjOXrhMckoq7y2YrbPsa89nS9Vs3bGDnt27c/mcv8VvrEmLx7Rofp783CG4e3rqjmsps/VZrl6+eMGxo0cYNWYsQeVUuMZrPcC5s2cY2Ku75l0pl5ocRbb4OdoQMHIwP/26it5jpvEorZBAt5aEbbuDdbm3SK1qheTpJax9G+uUBUGx5pn0vQpFOZmo7V0NvOVCoWadcfHypfO4uVw7sIn8jBQAslJ0ZavILlHQb+wU+o2dgkIu49aFs+RnZ1K/eTvaDhjFwkGdWbHjgMlc/bfeA6g6OYWzszPe3t58/ePPnDtzRnf8+2++5oOPP/2vx/EX/nf40ykKWnh5ejJ39ixycnI5cvwExRIJzs7O9Ondy6Ca5X+DLh3a8su6zXTt2M5EMDC7aEpyuHnzBu9PG2OiFBjj4dOXXLh1l/enjsba2rx2n5NfwLr9J5k2rC/+3p5m20iKS1ixeRcLp47D1dlJJ0xoP94iiYQHj5+wdMYkoAzk+Xz5/nN27DINBzxxNoTVKw5iLzTNW9EuKPl5eezasoF+fXozeKAp/Zl2UX905zbhkTcZ0KPcOmKGzST1VQJ1GjXTUb6FBPoQ6GxFcIgHyXklKArqkPsqAbGrxpJqo84Dazty8qQEuolJK5DhYg2ykmIcHCuEQFleFn2HjaZuw8Z06zeYsEN7qde0JfH372BnL2b1f75g0fIPCamtsfrGPXnMtcuX8Q8MZPzkadjY2BB56SJf//Pv7Dl8QpfM97+GJcX2fMQFpk6eaHDs5tXL//PxiMX2TB0/GplMzvEz4eTm5WErEtG9c0eC67r+LvcIqF0fydUbFBUVmRXkzc3JgbCLTJ86WXfeEtLS09m+cxezZ8ywGKctl8tZu2Ej3bp0Mfs+g0ZZ/3X1GgYPHEjNkBom59VqNcdOnuSD5ct068SqFcVmhZiL54LYtlNObl6eTlEwfj6FQsHGHXtoUN2f5ZMthz8mp2Vw4NQ5mjcK1YX4GCPu+Su8ytmmkOQgFAoR2VQs+9UDfDl3PdrgWczhfmw8y2dVxE3LFaV0aNmUVo0b0rJJA+Kfv6RJaF0ePNEQB5y6cAUbG2t6dNAU6kpOz+LYhWs4OYgZ1acLTg5i4l++YczyL/nxw3ma9a18jTAO2fxfQiuMp6al0aVnb4OQ1kd3o3FwcPifKApaWFlZMWTYMFQqFRHnw7kQcR6hUEjb9u1p0KChruBjVWFu/XBxdqZ+ndo8eZpAaN3KWZG0+9rBMxcY3KuryXHjfa1EKmPVnmMM79WJWp4OZvc9tVrN9mPn8PP2YOmMinXMWDHcvXMnNYIDmT2yPygkoPfoKrEre3ZsZcm0iZpkW3k+677NZ8eu6ib323U8mOibNXn+LJ7Wnoax8NoQJLVazZGDh7ESCpm1aDkCgcCAHlb7b5VMwr49u/H29qF6NcPEW+278zo9DX93Z7wdNOFIAE4ujjgFuyAtskfi6oo67wVCNx+dR0Hk4KrrR7ufxV4Np2V/Qy+pg4s7Axb9HaFQSO2WHXhx9zopTzVVvVVKJVeO7qXLME1u0pvMbKLDT1FWpqRFt76EenojKcjni7kT6TRsPJ61GhrUZahqpe3fCyqVivqNmxp8Y1ciwmnTutVfisIfHH9aRUELDw93Jk/QxOvn5xdwNjycnJxcgoOD6NOrJ6L/wqsA0KVjOy5fu6nzKlhSEADO34ihR9vmZvtRZlfE4Z27/YDCYimLBnSEgmzw9DVpf/dJAldjHvLh9LHYaDd2I2E7r6CQ1dv3sXzWJMRGLDjacR45dIwJ/XpULMoqmDDT/AIxc0IeS5d3xt2xIqxHf/GMj4vjfPg5liyYb5aGFCA3L5+d+w9TN8ib9+dM0QhOZjaPyxHheDnZ06xeTbKVmvH4qIsJ9K8IK8p1kGNdqxrC8vFIk1JwDDQMv7h14Qzd+g82OOYWUJ0573/G/agbPIt9yN7Naykq0Dy/TFrC2aMH+ejv/+TJowdEXb9K7Xr1GTNjLgX5eXRr34rXL54DcOjUWRo2bmL2OS1Z+6pq/TSxmlYi8K5au07372nTZzCoj4YT//dI4q8K7OxsdUxhMpmciCtXOR0egau3PwP796vUUl8VDBsxkr3HjjJ7knlKPf25eZ34Bm9vLxNWKmPcf/CQGzdv8cHyZRaZcpJTUti1Zy9zZs7Ezc3VbButR2LShPH4+fqaTfq8cvUaPbt3ryAWUMHIsRLANBl38nQV/burCHZ30HlD9JGZlc3mLVuZN2k07haVGwU7Dp9EbG/HkukTLD7fs5eJPH/9hmmjh2oOOHpoCrfZOurWkeLMZBxcPXX/T0xONaA/Bbj7MpUmzQ0NC44OYtZ89Rnrdx/C1dmROZ/8C4UereK6XQcZ1LMricmpHAu/hL+zHXPHDEalVjFy6ReERd4GYOOX7zGydSjK7HSsPX3NKgtV9SYYf1PGni/jYmz63/D2nbs1fahUtG7elNlTJrw1rv/3hFAopHcfDS12WVkZN2/cYMO6ddjZ2TKkb098fXzMX1fFNaB3t878un6LTlGobE5lOWlkpLyhWtcWlRq8UjKy2XEinEUThuFoVLxPC0mJlFV7jjKqT1dqBvlX9Ke3jwmK89i09wgtmzSgWYN6ZvtJf/UMfzcH7JQloCxBpYJpS01ZnQC+eM+G+vVjmTB3gdnzcpmMnZvW0bP/IBpZYE1TqVRcOH2cnJxsJkyarHkXzKz5+fkFHDtymCXLlpNerMk58nOxw9XOGjd3MTnla0K+WIxrzQaU5AegVqspTbmt68PDzR4361KK3ZwI8jKsszLtw39wYMNK6vcfzb+HtESpqBhD2PY1DJ+xELvSEq6eOY61jQ39h41CgjUHf/2ac7s2ANBn4myGz9cw1WsL1ekXcavMq2Ds2dKnB68qtNecOXdO83+VCisrK/7z7XeEtmiDeS65v/BHwp9eUdCHq6sLY0drKkG+TnzDlm3bEdnaMn5gL5MqpFVF04ah/LJuM906tTdbvlyLsrIyHiW8ZPmUUQZKgT7UajXbwq5QO8iXPm0qBFD99taevhw8exlrayuWlIcHGKB8I332MpFj4Rf5cO40i9bE0tJSikukuAgVIMlBpYLZ/6jP9Tvm3cMR5wPx8fWlfYdSXfy0dhGJOB9OXl4ei5Ys1XzWZpLPjhw7TkFmKnOmTkSsMpPIVj722GcvSMvIYtyECaj07hF17TKduvZAaqURAp+XFlK7cUtyymzJyZNSUJiDyNlDV7RGrVaTlJKCWm/T0RZfO3/iMONnL8TKyoqVu48ydWA3bO3tcXJyITsznW7NQ5kyZz4fffE1AoGALWt+JSE+TqckuLi60aJVG7PzZIx3DXF7FyUBNNSH4WGnqBYc9H9OJ2dnZ8vAckUlJzePw8eOU1JcwsgRw0xi9qsKFxcXZFIphUoBIpGo0pCLYydOsHjB/Er7CztzFqlMxvxKEpevXr9O/NNnBqFGxsjJyWXD5i1MmTUXNw8Ps7HLMqEtMY/jdMQBKhXMXWhPeISr2T6PHHPH0W4WE0flIBQaCmz3YuO5GnWXj+ZNs8gGdeXWHe7FxjNp+EA83FwtFibLycvnxPnLvDd7ssHxmEdxNG9YwQqTWlyGv2+FwPUoPkEnrGnf0yvXDrN4znRUel5VYUk+Ow6fZPKIQbi5OJMSHYFXU02ic81qgbxITGbA1AV0btOc87s3YGVlxeGw81y5el2nJACM7tNVU4keDJUFoCpBEb/F82Du/UpJTeGn775lcI8OBPr7ad6J3ynE7l1hZWVFx06d6NipEyUlJZwNCyMr9Q39+/Shdu2KXLB3WXMEAgEB/r6kPI83VATNKAK7T0Uwul0ji/sYwN2nr4h68pz3hvRAWFKAsqQij8G63PD19FUSxy9eZ/GE4YjtjRT78vdWLlewesc++nXrSP1aIaZtynH0+ElmjRpgsI/tP2l+Hzu8357ho5bgYK2mWGlYdDMzPY0j+3YxccYcHJ3MFz9MeBrPlfNnGDJ0GDVCQsy2Ac3+unbDRpYvWYRaINBZ6MUqObWDvLBzExPoJiYpt5gCd3F5gVJXSgszsfP11xV6C3QT8zjyJD0Hm4YPPrpxifbde2FtI+KLsId8P74bBZmpuPsGkJuewpHNqwjbs4VtVx5i7+BAwqP7RIYd1SkJAD3GTDWJiNB6FsDQGGhOaTAXBvcuuS5apKSkMnnqVD7929+xcXDFw6lcJvsdiUH+wv8G/32A2h8U1asFM3f2LIYPGcKO/YfYuns/MtlveyHr1q7Ji9gHlbY5dfkWg5rXrXRx3XjiAp2b1qdjY/NWE5VKxc/rtlEvJJhhPTuZbQNwLfIyN+8+4IM5Uy0qCQD3nzyjVZ2g8r41i+u2YxWL67j+iaRGX6Fjq/u6Y7t3WrN0vhCRUjNXcrmcDevW4uDgyKjRYwDTpMvkhFh+/O4bGtUMYubk8RaZaIqKS9iw5xAPnjxlwjDDMA+hUoY0P4cavp54ikX4udghLM6hRpAvgW5iPNzssReBp3tFXPfzmOuEtjadp6hrl2nerqPO0hpxUpOQKJdKyc6s+H22r19D9E0NTeGOjWs5dqCi7IeHpyeNa1Xj239/QalRAZq3QSV2rfSPQdsqLLhBgYHEx8cbKAlCaT4Dx5qyZP3XEFqhsnfV/akMHu5uTB85kBnTphB+/gJr1m0gJyf3nW6nfZcGDh7M2TMannCZ0NbgjxbPn7+gbu3aKKztLcabnzwdhrOLMyOGDbV4z/0HDyGXK5g1fZpFJeHlq9ds3r2Phe99iHsloYwymQwnR0dkQludkqAfcjRyeB5ZKWl06RCnO7ZjnxNzlnmAJB/QKLx7joXx6k0yi6eZp4zNLyxixeZdACydMVGjJGihJ1CVlpay51gYe89eYdHC+agd3HTvXZm9C+G37tGqSQNd+7uP46hXs7ru/6+SUvALqaN7T19nFxFQoxZqsWEl+xdZRbg4OeJWzpEeHnmj4lxisu7fkbfvsnLbXgBOXYhkzb7junO1ggPw7zKS6V+vo0BiWqiwMmu2uW+pKrCkhAYFBhIf+5DgwACDd+Krb75753v8nhCLxQwfOZJZC5fyNOEZv6xazctXr9+5H2FJPsO7tuH0xUjNAUmO2fmVyRXI83NxdzbN+dPifsJrnr5JZe6wXma/H2V2Opej7xP1KI4Ppo8xVRLKUZCWyPcr1zKtf2fq+7pUjMfM2AQCASIbG7P72NA+rylMfE6vrs91x44cFPPBYhEOemG9169c5OK5MGYvfs+skiBCyZE920lMiGfJsuUWlQS1Ws3Zc+GsWbmCuRNG6AhVHEVCnERWxF8+RefuvWhezRU/VzvsCpLwqR5CUDVXvINdUBe+xKNOQ8TOtni42VNWqkCpkGNvVIlaLpOS8eY1QbU1in3a8zgKMlMByE1P0bWTSUv4x2xNjtfrZ084saNCSfDwC+Tzsb35ccEE4p9rylVpvQpQEYqlhbnq3FD1uhv6MN5DfIJrEB8Xh6+vH7a2trp7HTpy9J37/gv/b/Gn8SioqsaiagJ3WzVzp00iNy+fddt20rRhA7p2bFfl64Ul+XRpUpeDp8OpraXOM1rElNnpvH7+nAFN+ljs58r9J9St5k/NAPMuZEWpkl8OhjG+V0cC3MVm24AmvElSUsKUvp3gLVVUa1UPIjw8jjaN63PqsqeJktCr/TrOX3Xk6IbOfPB1DtsOagSiHbtsGTSglJAa9zhzLpyJ02fj6qYRFPQ3WmVBJrsOHMHOzo73F86xKHSVWInZd+IsyrIyxg3uh5OjoUvfprSEtatXMWvWPMrKw6xeP31CrVo18Xe1RyAQkBp3l7pNWuDrppkbP1c7HmW8JrCHxrqdWazA20GETCblRXwco6bMpKysDCsrK84e1SRxte3Sg1tXNNWCm7Vqy6sXz2jasjUAl+9pBDm1Wo2zrWYMaampfLRsEf26deRo2HkcPV0Nxq1QKHjx8iVx8U/Jyc1FWCrFxtoasViMv683wYEB+Pv6mBX8qpK0qw2dKCwqIvLadTp2aE9o/foIpfl89MXXhF+KNDvf/xVUZQYhG1XxltirpEwe1heZTM6uA/tw8vRl5PBhb63yqw9//wAyM06ZPae1aF24dIkZ06ZibUHYe/U6kfz8AgYN6G/2vFqtZvO27TRv2pTmzZpaHMuTuDgir15j0RLTpGVj2NnZoVQqsVPJOXnG2kBJmDC2hAH9T3F4XwpbV3Xjn98WsX2fJkxr+z4nBvX1o23oI7YdPM7ogX0ICQ406V+tVnP07AUysnOZNXOmhs1M37NZ7k0oKyvj6NmLpGRkMmKkplqzMTZs362pzuzojgpNmGBOSSm+NepAST4ZWTl4uLoYPPPJU2HMmTUDqHgX1Go1B4+fYvn8WZQW52FjY0P0g1gAWjQKJebREwBCggNJTEljSG9NsbqtP/6LrT/+S/NcRdkIBAIKJcV8/J9faTbtI85v+Ym6RqlYqsIsXuXJeJLwkrTMLEBTBdbW2R1fby+CAv0J8vezSOVblcR7oTQfSV4Oj57Ec+3SBTq3aaEZ7/Hz/Ovr/1R67f8riCllYP/+qFQqjhw7zoWLF5k6YkCVKIy1Xitra2veVjbp5Kmz9G/fzOL5YqmMizGPWT7WMhvg6Rt3sXZ1Z9Lg3hbbZOXms/HQaT6YPhpb/TBWC8qhlZVmbzHexyaPyGbckHNs357I91/24KcNQbpvcP8eG3r3L6NTl2J2b99K81at6TvL1MvoKBJy/do17sbcYdz4CXha8Iyq1WouXYnkwcOH9OnVk/6dNXuHioqwtsjzYTRr3Ji6dYJ5llOCqqyMvPgomvadhEAgQFWmJEUlwS9I8wyBbmIyY87ToLOp7HDtxH46Dh5NaXm4UcbrZ5q5sBFRVmqYuzJu/nsA9Boxnl4jxuvGKxAISC+QELFvK19OHsj7366meafuBiFIhXIlxTmZJDyN503ia2ytNKFwdvb2eHh4EBQUTGBQEJgJxXuXhPuiwiIyMjLYf+gI/QcNwcnWiquRkUycOv3tF/+F/1P8aRQFePfqlfoCjrubK0vnzuRmdAw/rFrHlLGj8PK0bCnUDwlwENtTIjUXeKBBRm4BXm7m3ZgA2QVFPHmVzLxh5hdOuaKUnw+EMXtwD50lR+eG14PWZa/zNphbVPXCENxcnMlXaHaGwd2z+fu8l/xrbQhTh6ay4Z/PEQp76tpv+CYJtZWI7fuc+GhJFhmZuykr89BxaBu7B6+Eh/Eg9gkTRg4zO48qsSuKvAz2nTiLVCZn7OC+Ouuj9rwW6zZsYvqEMbi5OSFRqFAqlcTfukzfKfPJLlHg62yLNCmOjqNn6K558+QeIQ0NN7QbUdEcWLeC6Cvn+fXffwOgQcu2NOnQDVVZGYIyjWeg56DhCNVlFBUWIBQKLSZ1+fn7s33fIWZOHsexwweYNG0mmUmviLxyGbW8BDt7e2rVDKFzp454enigVqtRFWVTXCIlJS2dJ08TiLh8FWVZhdXGxtqawJp1CalRg6DAAKytrU35yfWS/ITSfFb98jMrVq6ieZv2KDJeUVpaypbd+82O+feCsbKgPVYZ7OxsmTl5PAmpuXz/088MGzzYIFTiv4FKpUKtVlsMyVEqlew/eJCP3n/P7Hm1Ws2adRvo3bNHpWN68PARMffuMXf2LGRVUHTsVHJs1Jpwt0EDlHz2sYyvvrErp0BVIBQO0s3b+p813+v2fU58tjwXueIgJyOLeG/ZUqysrEwidR/HPeVMxCWGDujDUDNJ1KCZl+Phl0hMSWNYn+4MrzPKbLvDJ8No2bQx1YIqlJFtew+woLyGgkrsyr5zR5kzdYLufFZ2Dm4ONgZz/jw9nx+++4YLkdf521caa3u1AD/6devI2EF98fHyIObRE8YM7IMaDdmCna1pPpNWGXF2dGDNV5/gvXo7K3cfYdXflpCRnce569EUFZcgsrGmeoAfzWtWw79HZwQCAUqlkmKhHemZWSS+Seb6rWjkigrBSSgQEODvR0j1YKoHBWJTSdSp9rf5YNFcPB1t6T52Jok3zxHg683ug0dxdBAjKTbj7fgvoHp7jVOLEAqFjBw+jOycHFZv3kybFs3o0KaV5fZGuQhigZKSrBSdld/YA56anUegl+V9ccOJC8wZ0tPi+cOXb+Pl6kz3zm0ttknLymHH8XA+nD7WIpGHJZjsY99lIhS2oVenNqjErmz4Pg3wY8cuWz76pBRP10vs3HqfiVOn42DEjOgoEpKWlsqW/ftp3aYti5YstXjfa1evEnsvmi6dOrFssYbBy/h7jY6KQqVS0bVTeyQKFXU8xESdPkifEWNw83IjrUDGs2tnqN1RIwcEuolRlZVRXJCLk3uFciLJzyPiwFaiw0+x5/t/6I53GDmNhl374x1ci4s7fqVpl97YWguJvXMLsR6Zhxbab8zXxZG+k+bgGRDE7rU/07xTd0okRVy4fI28nCwcRNb4+gfQuEEoHTp3wcrKCnsrNTKZjOzsbJKTkrh37y7FEomBEcHL25saISHUqBGCh73humyu+ObgoUNRKOTMmTqRXQePMbBfb06fOomvnx/paWkW5/4v/N/jT6UoaPE26rjKBJp2rVrQsmlj1m3dRa9unalXu2aVkuUEAoFGQy82DK1QZqdzPvohQzpZLiq469xVFgy3bF1ZfzyCeUN74eJo6EnQVxYu3LqLtbUVvdu/pXihUcyyQlERNvOP+a9oVq+IgV2zTTjchUL44aP72NtlEOgfz4ihE80meL5OfMORY8fo0rIxS+fONDuEsrIyDh4/TV5+PqOHDsbD3c0s9aFMJmfjhp/p0rO3JlEUzeK9ffN2xk6YiKi86nLM1Qu07tRZR4eami8lN+EBbSZr2EiySxS8eHSXr6cPo0m7zqj0BHNVWRm1GzXlRexDbl+9wI6wKzyPj+XL5fP5Ye1mHt2/i51QzZPHj1j184+kp6Wy/9gpOnTuCmh+9ynTZ/Ph0oUUFhbSomljxk2YiIuZiC+BQICVsxfOzuDsG0z9ZqYWzdLSUt68SeL58+ecj4jAukzOlHGjdBSz5t5FOzs7Vq9dD2gE3svXb1JQWHmRst8DxpVLq5qLUdvfnQ+WL2P/wUMkp6bSrUvnSttrrXFeXt5kZKTj42Oa3B8d+5SmTcwnlgPs3LOX6VOnWPQA7N1/gD69elKrluV6GM8SErj34AHTp0y22EZ/zFqo1WpKS0uxsbHh75/KaNpEyYB+Sk0Ogj51rhBWfpuGm+sV3N2iad28l4HgrkVefgG7DhwhpHow7y+cY/GZwiNvEvvsOUN6d2NY3x5mQ3FUKhX7jpzA08ONFk0rquuGnb9Ih9atdBbpZy9e4ufrbUBSsO/ICYPCjrm5eYQ2aUazRg1JTKoIL8rKzadOSHVKpDK+WrmRsO2rcXNxod3Qifxt8Wwys3OJfXCPrNx8Vu05xu2HcXz//lyWTalgdJo5oj+Nh87E292VBrVqMLRHB8SyIqAi5p3iXHD0wNraGiexI06OjtQ2o0CpVCpS0tJ58SqRazejkJTCpAnjTZiv9H8bVyslH/1nheY58zXx9pev3zQ7778HzFFwWoK5vc7Tw4Pl82dz6eoN9h05wdjhg81caYp2TRtw/V4svdq3MDknUyhwsBAmBHA++hFdm4WatLH29NWEG917gqerE52b1rfQAxRKitl+/JyGEtxCEr4ByvcyT98ATT6Njzf/+LCQZvUelO9jhkqNUAhrV5YQ6H8HF6fLuLp1573lS026lcvl7Ni2BxuRiOXzy6lYzdDoPnz4gCuXLtGhY0eWLDSfHA0QcfESaWnpjJo0VTNskZC4J49xd3akfWhNMosVSCVF2CqLqRZSXXdd7qMr1GvbXbe3lcplfDN7FHJpiQkDmYOrOx6B1Tm7/lsmfPhPWvUazNJezWjbsx9iRyfuXInQjOXoPm6eP02rrr352+rtmvkTi2jauRd7vv8Hq7/6O/UbNKJ5x270qKapWaTNV9D+JlZWVjg4OODg4EC1aqbFF9VqNVmZmbx69YoTx4+Rn5nG0MGDqeljueaOSCRi/tw5AMQ+esDAfr1Zt2a1xfZ/4Y+DP42iIET9m5UDXZtyIcwWWDxhKD9v2onvqCEW2UX00bRBXe5F36Z5qCm9nLxUidiCC7hYKsPNyQEbC5ZQqVyBs4PYREmAig1SJlcQ+/w1iycOf+s4jRMb2zZvwpk7cfTrqqGJG9w92yBcITbuGdEPHqMoVWJvZ8tXfx+Bk6NGGdG3mEgkEnbt2YunpydLFy20WE038sYt7tx/yMjBAwgODNAdNxZirly/xb1Hj5k01ZBxZs/uXTRv2ZqaQQEUKcpIev2SvKxMenbqQXaJxmr4+noYLbtrwks8xSISHt/n6+maRLBO/Yey5OtfsLW1w7G8CFthfi6ykhIK83KZ3L8LX67cCMA3n3+Ck4sLVgIBzi6upKel0mfAQOqFVsRwP4l9TOzjhzg7OxN96ybVgwIQCATIhJUn3eqe2yjswcbGhpo1Q6hZMwShNJ/snFx+XL2BscOHUN1M6AlAfloiALYiET+sWs8Hi+aya92vTJy7+K33/z3wW9iVrGQFjB09ij379hMXH0/9eubzcrSwU8np0q0b4efOMnrMWJNzAlkxdvaWTcNymazSZOqioqJKlQSpQMTJ02EsX6KZ08o4940xdMhgtu3cxcxpmqTBQQMqKi6X2bnwOv4hN6LuUFxcglAoZNn8Xvj5TDPpR6lUsu/oCeQyObMqyfV5kvCC0xeu0rNTW5bNnASYYfwpyedxUhanzkUweuggg3cr4spV1Go1bVpqPHKFRUUcO32ODxZV0IBG3rhFo9B6mjFI88mVC/CvronZbtqsGecO76a4pIQAP80aVVpayg8/raB+rRr0n7KAjd9qLKE/b9rJriOncLK3xdXZidsP42hevzZ9O1VYwZPTszgUfoUOzRsQdjUKTzdXFNnpiB3Nsw69LTdBKBQSFOBPUIA/XTu2o0Rgx4ZNW2jXtg2tWmoEZOPaJ/JSzW9mbWXFN2s2s+uX/xAVcYrWPSsvuPnfoDJl4W1ri3b83Tq15+rN24RfukLvbl0M25gxOtSuFkDEzRizigKAtVXFeLT7j9br8DIlnV6tepmc1/47Iec288ZW1LMxhx3Hw1k0ftg7KQkAQ3p346dNO3l/9hSEQiGDB6uB8n3M3oX0zCyunT9FjkSOSqVi9KjO1KtbLtjrsV2p1WrCz53lxYsXjB07Dn8387kY6elpHDp4kNDQUJ2nQYbp75KRmcmuPXtp27kbo3r21R2Pe/KEmKgohoyfQr5MqWFROrCNgRNmkV0enJCXnkypQk6D+hUyxdyOGlY/r8BqfLk3nPzsDLwDNYJ6WoGM64e20WbweHZ/9w8Kc3OwtRdzK+IMCY8f4Ozqjo1IxLOHd3F2c2fghIqQnjeZ2USdO0HDtl14EHkeH29vSksVupBd/eTmt0GbW+Dt44O3jw9dWjfT1ZmJc7DRkV3ow3g9PXH0MFNnzuFlYhKNG4QikRRV6d5/4f8GfxpFwRLeRUHQh0AgYNHUcXy/fjsfzJliUjTMGK2bNGTT9p0mioK1py9iWxFShQJHM9aYizGxdG/R0KC9Pq5G3qZ7t04mx/Wx6+R5Jg6y7O4FTc2FpMJSHOwlOIjt8XJ3w8bGhlZNGnD2ynU27Dlkco1QIKRerRpMGj4IkcjG7AZcVlbGkWPHyc7OZuL4cRapMOOePSfs/AU6tW3N8vmW2Wayc3LZfuQ0bVq3YvGy93XHi8qEbFy7io6dOhFSrxEAxZIibp0/zbiZC3VW1VfxsUhz0ok+vR9ZSQlOroZJljY2Nnh4V8ylsrSUM3u3MWLmIuRSKXtXf09WehrRCUmcPnqIVT98w6Wb0bx5/ZrxI4Ywe/5iTh8/hhqNNadmrdrMXbiESVNncPLYEXbv3Mna1avYtGUbtWpr3oX/pjCSp4c7Hy2Zz459h3iVGGDKrgXUrVWTZ9GR1GnVmc/+/S0fLJrLqKED/yeKgkClfHujKkIozWf82DGsWLkKby9vPLR8/hbg62xPYYFhFVjt3IrF9hRJJLp+9fE8PZ/qZqxeWiSnpODn52fxPMCFiPN07tUXuZV5i6q2uvm9Zwk4OIgRi8V4uLtjb2+Pt5cXTRs3tlhhtIavO8MG9MVRL8bXuJjbhUuXefT4MWNGjcTfz8/supaRmcWBY6cIqR7M8mVLsJJq5sqYRlQml7P1wHH8vD35aMZY1A5uuvvsOngEb09PBvTuoblWpWLVxm0smzdL941l5+Ry+fpN5JJCjoedw8HBAXv7io1eLBbj7BuMq94Y12zewZwJI2nXogm9J8xh7c4DFMXd5PKtO8x4/x8cWPsDNdzsqd5rHJ/OncDN+0+4HHUflaQQbzcX5vZpx9w+7Th1/zmHT5/nu0172PbZPEPiBzPsTlWBnZ0dixfO58zZc+zdf4AJZmLnbW1F5D++TosBY9l/8hxr/v0ZTRs1ILRuHZ48ffab7vtbUVUlQYtO7dqw9/BxHsc9NanebQxj75T+vmOblYZMUWqyF1l7+lJaqsTG2c3iPlVWVvbWfJ4XSan4eXnoqntroVVErD19UalUPHj6Ajs3bxzsFbj4BeHk6IgQGDpsGJuPnkNlJtHCy9ODzj374uXpaXIONHP68NEjwi5coVfvPvTp28/sPBcXF7PjwE7s7O2ZO2++SaijVuBVqVQcPnQQqVTKhLlLsba21gnQkZcukpGeplMSAM7u38Gg0RNQ29rhZwvJOUXEnDmMvTXs+/lLBAhwdHXD3sEJaXERjs6uiOzsdEoCwJtb56jZvC3WIjuu7t/EyU2/suHmC948e8L6TxcwfPp8Og8YxoJBneg+ZAySwgL2b9uIQCDATuxA237DGDFxGg9uXeVWxBmWj+rNjI+/ZNTosbrf7m31FSwlOwsEAiZNGMf9W1dZuWEr86ZPwtra2sRQ9iojj/cWzuXIwf28fPGcRk2aMnHaDNatXGHxnn/h/x5/WkWhqlZOi2FFkhxsHD2YM2Ek63YdZNG08ebblbe1wnIxIrGdiBKZ3KyikJKVy6COGuuNuUX2dUo6/TtbpuHMyM7DVmSDu4thDoT+4hr1KJ6Y2Kc0a9GSnLx8SkqkPEvNokmDULp37kDvfuYLSenD+PNXq9WEnzpG3OsUhg0ZTHB51UpjpGdmsf/ICWrWqMby+bMtbhZqtZrD4ZHk5uWxYO4cVHZOOrrJtLRUdu/cyfQZMxE5aYQauVzO/i3rmTRrAXb2NuTLlDii4GHkOQ6sW4GytJQRk2egKMzlzZskQlu0Zd7n3xBcy3CjPL17M806dmNEUw1jUN9hoxgzfS552al88eEyhEIhpQIbatSsSe9+/RkxQCNExL5KxqXcIwHg6OTEuElTmDl9Kj9+/x0tmzXh1Ztk3Nzd3zl3BgzfX4FAwLQhvYi4dot9e/YwdrzpuxgU4M+gvr24fecu9x7F0qR1B2SFedg5u5m0/W9hqULub+pLms+CuXP44edf+Oh9y1SkWogow7ZMZvIe2duLycjMMvvdX71wjrHDh1hMXL10OZKhgy1bhpVKJfHx8fTsZT480E4l501SEvsPHqJLp06kpqVTUlxMUnIyLnbWjB85lDYNatKmganHQn885rbYmLv3uHL1Kt27dtXFPutfJ5TmIykuZs+hY4jF9sydNlFn1DBXZyDydgwxj54wbfRQTQFGQFCST3GJlFV7jzOkf2/q1NR4BtRqNas2bmPKuFGaJGk0AtDGjZvYsvsQqZlZdGnbkhYtmnP/0XPatmzGxx99TN8+hvO078gJ2rVqjm+L7gB0bdeKA2u+R2Rjw6BpmmdydXbCQWzN4onDmfLxNxRLZVxa+TntGhqufUNb1GVoi7qE3bxHzyX/5vyKv9Gth2Ujiv7zmw290pv/fn37EPvkCSvWbWLRrGlYWVkZzJ2jg5hZ40bw8TcruPcyhU4+gdyPPIfIx3x+yP8C5taQyvY67fgn9OvCz5t2Euwm1v3uluDt7kpmTh7eHkZGFi8/BA7mr71xP5Z2TUMt9hnzJIEWDczXJNDi2IVrLJ9imEOjnyNRXCLll11H6NypE4XZuUhUVqRHPURSXMK8RUsICW1KSGjTSu8BpvP1KjGJo+ev0CA0lI+WLNCsLUbzrFQqOXj4CIWFhYwYNwlnZ8s5h/cePeHcmdMMGT4SV99AXZ5FWVkZW7Zsplbd+vQdMVanJFw4fZxWLZrrDFjZJQqeXjhM+tN7xN+5iVBoxcCZi0mMj8U7uAadBo+m28hJBvd8di8Ke0cndn+xkOzUJPxq1GLBd+uxsrZmxZIpSPJzEXn4olar6TZmOic2/kJ+dgYTP/q3QV8CgYCm7TrTtF1neo8cz7KRvSnIzmLWgrcbncwpCcbva/MmjQj09+O7X9eyYPFSjN8mGxsb+g8eypGD+4l7EEPd+qH87Z///ktR+IPjT6MoZGVls37jJtzd3enWqjHeXuYtB1pUmnegR8PmYQN2lJrykZtJFBYIBKhUKhNhp1Xb1tyJe05/N9MQJqFQQJmzuyGzg36fdo4o7Vw0lgsz93yVkkbjuhUCiDn6VaFQgG9gNZrUr0Pk7bsk5RZhZ2tLtfJwg8pYP4wXVbVazdkLl4lPeE6vrp3p26OrWYYerfBib2/H/BmTLXpkVPau5OcXsHHLVgYPHEC1eo0MBKarkZEkPHvKsvfeR1qmEQ4zMzLYt2s7U2fNwcXFkSJFGTZKKce2b2DCxClcOn2MV88TOLxjMyv3HKW4qIgufUyVoQunj9OtR0+SMjRsKdtPX6ZOA423IjC4OkcirlKjZm3u3bnNy4QEvv7+ZwQICDt5HGdn8+Foq379hX9/+U8Avvj87/yyqiLG8m25M/rzZw49O7blWGQ0X/+0kjq1Qoi+e5/SUiXVggJJSUvj5NnzALTpORBbW1tePY0z289/g8ycPHYePknH1s2pEfT7KAu2ymIahNYnKzsbH2/zRZK0CA4K4k1Skkm9iOCgQC6eOw1tm5pc4+HuRnpmFjWqmVdmXVycyS8osOgNUygU+Lm7VPrb2djY4CB2oHmzpkTHxPD06VPKylTUCm1s8ZrKEH0nhus3b9K0SRNduJMxlEolB0+EU5STwYRRw3BytExZqVCUsnHvYRrUraULR9Ii7vlLTkZcYf6cOTg4aEIcpVIZqzZtY8Sg/rrwISS5/LxhBxOHD+TW/UekZmZx5dYd/v3+Qu4FBTJ3Wnm/eu9vVMw9nBwdCPDXeGw2ffcFU0dVhJ88jjiCj6cHKemZ/HpcU5yrfkg1Jn/yHxrXNF8TJPJ+HMM//RGA6f9Zy6seXQ3OWyrGVpWKzo1q+CPq2Y0FH3zGhFHDCAs7g0KhwMXZCX8fLz7+ZgUAPcur3cbdvlxpf78F2dlZ5Sw8rWjZpNE7sYNVhiG9uxH9IJZenSwnEgO0bRLK7UfxDOpqyv6n1K87oN0PJTn4eXnw/E0KjZqbT5x28w3keWKSwTXGcBKLK31WKysrEIlp3aETcc+e8/TOXWRqa2rVb1ge7mmZ4cnct/vidSKnz13A38+HxQvmmzVSqNVqws9HEP/sGaNGDMe/3PNojrqkSF7GscMHsRIKmTxvCQKBQKcM5GZnc3D3NoaNmYC3r58u3OjYnu3Urt+QBs004byZxQoenDtKi1ZtKMzJJv7OTVSqMoLrNsDKyopPf1qHtdFempOZTkHSC1oMGE1OWjLt+g9n+j9+1D3P5ztPIRRaIbSyYseaFbTo1pcGmzrx8dBO1GxUUQDWU1whg6QnJbJspEbh3/L9P5k6ay75YFBbQT8szlhJqCy/xtvLkwWLl7Jo6XKWLl7IgeOnKC4uwdbWlmat2zGzvLDm8qVLWL50CYdOnbXY11/4Y+BPoyh4ebgxb+JIsrJzOHr6LM0aNaBV86Ym7d6amFyZAlAJbzdAvRrBxL9KIrSmYZhDsJ8PJy7ewLp7B5Nrhg3ux/GL1xndt5vhifIFtVv7Vly8EU3v5uatMU5lMjKSMlB6WK4S2rJBXXLvPmPv2Ug6tmtNr37VdefeRg2oPV9WmMXxM+GkpmXQq1tn+vWsGK++YKvhaT+JRFLM+JFDcX5LVd6r16/z4MEjFs2fh52dnW4BLpQp2bNjGzVCQhg9eQbS8v3pwb273L0TxYKl7+niWFXSIrZvWMv0eYuws7cnKyND89xt2yPJSqffkOHY2lnrFm2AVwnxqFUqatULpVY9qF2/IbnZWbrzAoGAYomEhdMmUK9BQzp07c6xEyc4sFfDVV9UVGhWWWjUvDXNWrTiXkw027dt5ZO//Q1f34qwlqom2qtUKjbt2svCD/6Go6MDAgQUSSTUrF6NlLR0ZHI5ny5fRICfK+9/rqGUrF+vHveibhJ9J4ZO3Xvy+VffVDr3vwXeHm4M69uDC9dvc+dBLKMGajaT/1Zh8HG2Iysr662KQutWrYi4eNGkZoQtGsFZS/mnj/69urN+2y4WzJxqts/ePXuwe99+Zkw1X3fC3t6eEqmZAoF68PP1pVPH9mzcvIX27doxa8b0CsHDSPGz9M1pQ4yePImjRYtmLF200GK7M2fP8Tz+MaOGDKwQ5C3g6YvXHD13gZljh+PpbmglPh5+CalMxnvLKqhek1JS2XPoGIvGD8XRQQwl+SiVSn7cuIPJIwbh522Y63Ej5j6zx4/EGHn5BdyMvsuSuRo2sknDB5KdazgXNtbWTFzyCYG+PowZ3Jdrdx8x+RMN5Wie0A5zq1qtQF86NK7L9YdPScrI4e6TBJq3NhV+za31xsrCqbAwJk6dgVKpRKnUrA+1Q2rwJjmFLbv3M2fCKOqEVOOnjTtISc8EQPnqHhlZOQS07knPIaPNjPC/g6enF6PGTeDunSjWrVnDvAWWk2TfBd4e7ty6+/Ct7QJ9vTh1xXyitouTA3llNgYMdTh6UKehB2eiHlvss3aNapy7csPieUswyHNw9GDGmGGs2rSNlk0bM2n6LJ0B6m08/vpe3bvP3hB59Ro1alRn3qIlFvMhoqLvcO3GDfr06kmf3r0MztkZJTZnZ2WxcfMWBgweSkit2gb1B67duEnco/vMWLAUiVJTzKxYUsTB7RvpP3wM3n4VuXo3T+yjRr0GhNRvxI3wCjrotLgHDJ08y0RJKFMquXBkLyNmLcbKyopRiz/lzdNYA6VH7OTC9q8+plQuo/voqaQnvuTEphUASAryAEMlAcDF3ZN2PftzM0JTu+b0ob0MHa9ZH43DjyyFG2lx7/4DZsyZy5O4eM14xGJcXV01Br+Dh+jWrTtdevbh5LEj/LriZwCScyUoFApCfN0ZObBvZd3/hT8A/jSKghZenh7MnjKBn9ZsoEG9ugYVl3+LkgDg7uJEbkERnmY8Avpo5ufK0TvxJooCaBbY/EIJrkaFavy8PEjLytUIOE6mXpB6NWsQcfWWWUVBmZ2Oi6OYp29SzY5Ht8g6etC7czuDDdKSsGK84Obn5XH66EFKFQoGDuhPsLuFBEKVimNh50hOSWPU0IH4+VQu8Mnlcjbt3EuDenVZOH+uwb2TMrLZuWUTI8eMxz9Q4/VQq9WcOHIIWzs7ps3StHcUCUlMzWD39q0sXbZcx9Cy5/BxRg/uz51bN7hz6wafLJnHo+QcnTWkpLiYmCsRzFhQYfWp26gJTx8/oG2X7rr77du+meuXL3D98gXu3LqBj57A/+b1axo2NmXZadmmLSfPX0KtVjNyUF+++OJL5s+fi6urGwEBAZUm6ekrXMMmzeRMxCWcnZxwdnKkf69uhNapQ2CAH1dvRvHL+s0EBwRQrISjB/eTkpqKl6cnFy9foczajnMRF7G1FbFp4waL9/tNKCvDUS1lSO9u7Dx8ktfJqVQP9K+StbYyeHl68CbpNcKQgEqVV3d3Nwqy0sx6XVo3b0r03fu0bmFIi2ttbY2tSERxcQn2Zvq2s7NDIbesvAkEgipZdRs1bEijhg1Njr9NGZfJZBw9foLs7By6de1Mz+7dLLaNvHadmLt36de5LQO7mmcV0923nNHI2tqaj+ZNN3gGhaKU1Tv20alLV5o3aaQ7fuX6LRJevOSjGWN1woZcruDHjTuYPX6ETtH4+fMPSHj5hlfJyXz0nxV89J8VPL96muqB/qjErqjVatZt3cny+bN0fTdvWJ+bdw0LUx49e1EnQN6695Aa/hXrxr24BKr37GTiJfX3dOPCL3/H2tOXJV+vZNn3G1jxhSvOjg4E+vpgayuqElPdNytW8/l/fsDby4vSUgU9unSkfauW+Pv6kJnyhsX/+IaGdWsikyvY8M3npGZkYW1lxYXrtxEKhVw5uBVbkQ1th0x8673eFSKRiLbtNQQTVyMj6dS5cmawqsBBbI+k5B2pXI3yPgYOGMDJ85eZNGKQSdO6NasT9/ylaQXlctjb2VIilSK2QDpQJikwe1x/HF7VarJ4mWGitSUlQV+AFVtD+LmzvHr5iuYN67FowTyL33RcfDxnw8/TskVzi948LexUcs5fuMiz10m8/95y5GornZKgVqs5fWgvbh6ejJoyC0m5ner186dcizjH2BnzsLOz17U9tGMTLdt3okbtemQWKxg6dS7PHt4j/n40hzet5PCmlfx9zU5adqnIR7x5Yh/jJk3Fw9mezGIFjZs25+oJQ2rsV7H3iT5/EoDE+McE1KxDQY7GKPbyznU6d+1u8lz2Dg58/MtmAO6GH+P7v39A2zatybOzx9vXFyeRi8H86isPWm+CnUpOxIWLDBw2ggB/f+zt7enQri19evXE09MTtY0906dOpn3XHqhUKhYtf5+C/HyKiyVcv3oF1Gp2HT+LSCRidD/TMf6FPw7+dIqCFrMmj2fDjt0snTuzSptGZfD2cCM9O9esoqC/iYntbCnOyTIb/tO/cS0On49kxgjTYk8927Xg4JUYRg80U5BNkkM1D0eN1UwvUVp7D08XJ96kZwOgytdYvISulQvpb1MSJAoVCoWCA3t24WgvYtiYCToeZO3SoG/5PnUugpeJbxjUtxfDB/Yz27f2N1AoSjl4OpxcaSnjRw7DzdUFld69o+4+4HrkFeYuWooczaKrUCjYtWkd/fr2pU49DbWeo0jI84QEwk6fYv6S5QZJZclvElm1YTOffrCMwsJCho8aAzIJOLqSlpLM8YN7mTSrYqNwtbPG1cmRwuwMXO2sKSsrY/v61dy8elnX546jYYhEokoTufQRE3Wb2zeuc/vGde7fvUNhfh5SmYxFi5fwybJFJpuUvuCbX1DA+UuRODs5sWj2ND5dttAgdGtwv958+/0PgMaDczs6msYNG2Ll4IKdnR0qleb3k8st1/b4PTBh2AC+WbOFD+dO1dR7+C9yF3y8PImKuQ9UUMa+K5tSy2ZNWLFuk4miADBi8AA27dzLkrkzzL7/7dq25eTpMIvF2IqLi3Vjs4SqVNHWh1qt5six42RlZTF82FATVib9e12/HU3U3ft0bNOK92ZNojKo1WrORFzi2YuXDOnXhxrVghDorYFpmVlsOXqOOVMn4V7OKKZWq9m+9yDVg4OYPbJiDnLy8lm36yALpow1iG1PTs/k4/nT2HHkFJG3Y5g6agiycmWrODOFNftPMm7EUIOCX2JXD1IzKrx2u46c4uL127r/H1z7I3VCqpkYbIzZdbTH8gqKWL1XU8l5yrLPKC6RkpNfwMRhA/j+s+XY21mm8lSr1azZsgOhUMjQ/r358pP3dXOheY/bMX/yGF3b6AexuDg7Ibazw97OFrUaFKWlKN6xKvu7wFEkpGfXzqxbs4aGDRvi5l55sr8xjPc9LYU3YGoUc/QwOGZtZaUJeTXq09XZiey8fF2xSn307NOP/6xYxYf1G5mlcx7SuxvbDp5g/nBT4g1ldjrKsjIkqW+wE4kM8/UqSVKvipJw41okj+7fp1e//vTtp3m3tWYBfe/u02fPOBt+nrq1a7N00cK3Ggeiou9w8/ZtOrRrx4xZmn1PXn5faUkJuzavo22vgQRVr1Ccrl8MR1JUyIQ5FXtAqULB/i3r6NpvEIHVNPku3g4ipOkSuvTsTc0GTTi2dQ19x0xGZKt5p8uUSm6e2Efdho3x8PbRXRPo5UZeeioe9jYIBAKuXLpAVPgJ3f0nfPglvfpVnanL20HEP5fNA2DxdI1CnJ2ZSYdu3fn2hxX4+Gp+J0v74nc/aTwErVu15F//+FzHLKf93XoPrmBqfBr3BJGjC0H29tjZ2SMQCilVKCg1Kh73F/54EFhK0P2joWXjUPXtE3sMjt15GEt6Vg4De1TBGlNJWFHCo4c8T0qnV+u3xxtvOB7BbAsFZ3Zevcfgbu3xMEO3GhZ5G2cvPzq20hNy9Mb0y87DTBzUExelYQiEKj+Tw9fv07J2MNW8KzYSrbKg71XQCnBvUxRuXL9OTMwdxo+fgIceS4RByExxLifPRvDqzRsG9O5hlq9cH0XpSRwLv0RhkYRRA3vjW55DohJryrjLhLacPnWSohI5A4cO11llsrMyObhrO+OnzcTF1U23IEWcO4NMUsCA4WN0C65KpWLbpvU0btKMof0Mf4MVazfi5eXNi8RERoybZFBILTUlha5tmhN2/Q5u7h5sXbeSEeMn8/xpHL7+gfRr35z9x0/ToZMhvaAlOIqEqNVq7kRHI7IV0aRJUwBevnjBgL69OXnkIA0bNDC4Rl8o3H3oKIdPhHF4+waTzaoyYdTcpunqKI5Rq9VvKa5RdRh/ZxlZORw9d4G5Ew1DMH6LsrBxxx4DXn5L2LbnAONGDDFbdfZi5HVcXZwNrORaPHoSz+O4p4wbMcTsPB48fITQ+vVoEGqalHnv/gPy05Po0aWjybl3VRBAU5Ph+MlTDB8yhJo1TS2w2vfh2q0oou89oH2rljq6UkuQy+WcPn+RxKRk+vboRv06FYXjtALbrXsPufsskVmTx+sEPalUxurN2xg+sD8h1YN1baMfxHIj5j7zJ402UFQPnDqHs5MjA6cahkZNGTmYxdPGE3HtNvMnj8bWvULYkxQX067PEH78bBl9Ordn7c4DdGrdnNLycLG2Qyby7XuzWb6gnIL1LWGeWsRnFJKWmU23dprY+KycXIbNXsa8iaOZMMw0L0n7Xj6MjWPElFk8i75q8I39FqOSdY1mv+s31qx5c/Xlq9d1/1coFKz8ZQWfLl9sVni1pLyae5b1uw8yZ8jbrbM37sfi4O5Dk1BTlqTE5FRu33+kM2zpf+vZObnsOnhEV0PHeAy3rl8lt6DIgKBDqwDmFBRx/Nodpg/QeNRMyD3KFQbtnqGFJWXhdUo6B/fuoVWbtrRsUxGaZhw//zQ+nvDwczSsVYO+fXqb5Dvo73sqlYpLVyJ5fC+aFm070LF9e4MxSBQq4hJeEHb8MBNnzEVhVcGCdHzvDmrWC6Vxi9a6/tKSkzh37ADDJ83AWY8c497tG8QnvODXvy01GKuLhyc/HzrPhSN76T1yInWqVYQtKZVKPps3lUYtWjNx7mKOHzuKrZ09/tVrkpmazJbvvqBa7bos+2aV2fkyhnd5naLszHTiHz2gXdeeeDjYIi0p4YsPl+Hv58vf/vlvg2v057akpIR6tWoQ9+C+jtFOf16NPRKW4CSyItDd8Xf9xv7C74s/rUcBoGXjBmw9cIw3KWkEB1RCf1jJpqTMTsfPw5XI+1VLDLW3FVEslZktTDN+QA82HjzNwgnDTM7179yGLUfO4OtgRa3gAJPzs3q24adt+/hw/CBdSIDWgzCsXWNWnoxkyZCuuvaq/EyErt4VRdkkOQixLMDJhLa8efOG40eP0KJlKxYtXmK2nUKh4OjxE2QmJzKgTw+G9LdcKE6tVnMj6g53HzzG1c6KIb27mWXcKCsrY8OGtbRs1YoujZrrFo3YB/e4G32bWYuW6TwGMpmMnVs20bpde5r0qfBeSEtK2LRuNVZW1jol4avvf2LwsBE4Obuwc+smgqtVY/q06ZQUF3Py8BEePbzPg7t3uRcTjaubO34ebmxc+yvjpmqoILMzM9m3ZQM+fn40adrcZNzG0F8kBQIBrVq3NjgvsrVFJpXi52v5XXzxOpEvv/2Zn776h4FQ8NbwlbfE6P6v4OPlQe0a1bgWfc9Ayf09mZGM0bhBfR7GxulykPSFkZ4tG/Ddln00a9zQRKhqFFqPtIwMLl+7SdeOhomaKntXRo0Yzk+//EpQYKAJq0mLutX4+WI4XTu2M7CkvquSkJeXz74DB/Dz8+N9vbwALYTSfFQqFWcvRRKf8Jz2rVrwnpYJxozgpxK7EvfsORcjr2kYQ3p1t+jVO3DqHGJ7+4qkYyA5NY1dB46wYOYUDc1kSb7Gu3DoBJ7ubiyZXlGJWaVSsWbHfmxtRYxf9DEAQ3t0ZOVni/DxcONQ5F1eJCbx3uzJGnrIAwd49DSBM5G3uPdQE7/etUcvfty0jWHd2hPg683FG1EcPXsBkY01Q7p3qCCNMLJwm4WjB/UcPahXs8JI4ezoSEp6JnX0ilYZIy+/gCWffM6MieN+t0Th/xXsVHLsrGHs0EHsO3CQcWNMcyLMed8sKjzy4irdt2ndmhy8EmNWUagW6M/JiCtIZTIDZRA0dM69u3Vh18EjTBxlVNdHkkPbJqHsPBHO8zcp1AoOMPASebho9oacgiI8XJwMCopqr8fRo2JtKf/2jHO+Ckrh4IH9lMiVLF2ySKfkGsfSx9yJ5ubNm9SuXZuFizRKmLkARJnQlrS0VCJOHae0VEm3Nk3pNa88pK7c+6ktCnnjmua7nbVoOQVyzT5WUizh4LaN9Bk6Ct8ATShtZrGC51FXyMnKZPL8ZQY5BUePHEZaLGHl35frjm06H427jx9PYm4TdemcLich6tplnj56wMWw46SnJJOfm8OPazZw6ugBqgcG412nMc8e3uXOlfOkJb5k4pKPdX1qFYHMYkOLvfY4lHvbgwOpFRyoy/Gzs7cnJzuTTp06GVynv/+Vlpby/vKl9OzV579WEv7CHx9VKw35B8aUkYM5fCbCcoO3KAkAdiIRckXVXMytQ2tx68lzs+esCnMJ9PUi/uUbs+enDevLiUs3SMnINhmHyMaaiX06surwOdRqtU5JAE0BocaezhwNv448M8u4WxPobypqtZpHjx+zdvVq7t65w/yFi2jfwTTpWiKRsGX7DrZs207nTh1ZMncGtWpUN9t/mZ0L52/d55cte7EViVg0expTRg42qyTk5Obx3Y8/M2TYMOroMTCEnz5BSnISk2bO1SkJ6akprFr5C6MnTKRJs4q22VmZbFy7iumz5xFzpyKUIeHZU6ytbVj18w907dGL5Qvn8eXfPqFDi0YcPbQfaXEJbTt05OfV6zl08gyb1q1mzoLFrP72X7SuE8yhnVto0KgxV6Pu42iUlC2TySgtDztwFAkrZXl4Gh/PssWLaFivDsuXLjZbL0CtVnP8TDhNOvVm+YLZFTz29q5mhVGZ0Nbgz/8lenRoQ9T9R2bPvYuFtqrey4b16/Lg8ROEJflm++/XvgVnTp00e23vbl1ISU8n5r5hUqf2m5g3exar1q5HXh5GI5Tm686NHDyAtVt2VHmc+niTlMT6jZs4euIEUydPYujgQSZCqlKpZP/Rk6zetJ3qwUEsnTuTtvUte+ruP3nKL7+uJOnFU+ZNn8zsKRMI9DdVQkvzMvlp4w7q1wphYI/Ounm7GR1D2PmLfLh4nk5JKC6R8s2aLXRp29LAEyuTy/lu3VaG9ulOcV7F+pSVl4+nqzMrdh6mYZAXv27dw9IvvqV+96F8s2YzBYVFNKpdgy2rfiQq4jQ/rdnI2OFDuP44Acd6bflyxTrshfDy3B5qBvkbzoedC1JZ1SiFU9Iz+WrlRhzqtaFTq+a0atLApI1K7Mr9x7HUbdWZlk2bGBSQg9/mTfhfKMLa4qH6AnDNmiEoSkvJycl9+/WVUH5X9d0V29shKTbNZ1CJXVGJXRk/YQLbTpjfV0Pr1ibQz0/HwmaMiYN6ceT8VVITnpqcG9+rA+uORej2W2V2umEob/l+LSzJN1GOcnPz2LpjJ9u2bKFfv/7MnjndwBOm9fSeOhPO6lUrUShKWbBwEX369jOrMEoUKp6+TGTFLyu5ce06oydPZ/7c2TSoZ5gvKJRqlOtdO3dQqihl1IQpOiUhOfEVh7ZvYsz0OTolIb1IxundWyizc2LQ6Ak6JUGtVnNk5xZ8AoPxr1bhZbSzF2Nrb8+VU4dRq9WkvHzOzx8t5L3Rffn6w8XkZGUSEBjEJ1/+h90nznHi0H4aN2yAUGjF8CZBrPnnhxTkZvP9vjBadtbsK1plQK1W44imqJr2jyVYl5Zw+ughQv1cKczPZ+iICipb/f0vNSWFDm1bk5eXxy+rVhvsURKFyqyS4CSy+ksp+BPjz+lR0BP+hYBYWIa6KPudrEfm8gyqgrrB/pyPekiPFqZJjQADGtfkp+OXCfT1wtGosIxAIGDppBH8uusIA7u2M7G4BHp5MLBDC37efoBFg7pgZSXUKQbtawcR/TKFVedv07tRLRo1rqfzKuhDWJKP0s6Z6DsxxNy9i1qtJjQ0lKVzZ5gtJiWXyzl4YD9ymYxRY8bi7VjuSjXzbGVlZYSfj+DZ8+d069KZxQvna05INYmuxhtY1P3H3HycwPvLllBm64hEoaJAVsruLRto3rotDRo31bWNj33EnZs3mLXIkGv/TeJrwk4c17EgjRk/iXOnNWwR2zau583r11SrXoPxwweT9CaRUmUpe4+cpG79UN378PzZUy6En2PB0vewtrbG28cXgUBAXGwst2/e4Kdvv2be4mXMnr+QvIwU/v3ll1y8EMHGLVsZNXqM2d9ZixU//cgXn/8dgPWbNjNltGn1bLlczsCRk7h6TRNu0LJdpyonm/9RUKtaEKkZmfi/JYm9MlRViBGJREhlcsrsXXRFxfTRqF5toh885s2zJ7rkWn1MGDmMfUdOUCKV0qldRQiEUJqPA7Bo6hh+/uE7Fs2eZkA5GhTgz4DePfl+5To6tWtN607dsbSiqNVqniUkEHntOsrSUgIDA5k+1XzhRpVKxcnTYSQmvmHE8KEEuVVUYTem+VSr1dy8+4Co+49pWLcWi98SS52YlMzevfuYP3mMgaJ+4NQ5HB3EzJ5S4TFIy8xi64HjLJ0xwSDhtLBIwspte1k0dRzOTo50aVWRxH/97mO6T3+fVg3qMO3vPxDzKA5XZyc2fvsPOrRsqvO+ZEpVbNi+m4WzpuLs5IRbuWDxOjmVmEdxrNl3nOG9OvHlwmnY2KTyw87jbNyrCbfc9nWFFdQA5Rbm/SfPMmHxJwB8+d4CPl1omOStncMlH3/O2q07AagWZEosYG6Nqgz/CyXBHHRVlls1IeZmJL0HDjU4btC2EiUBwM3ZidyCQpO6O+YgFiopykjCyaeCVljbv6uLKyHVg7l2K4qObVubXNu1YzuuXL/FgVPnTHLvBAIBy6eM4qftBxnZtiHBPnrhrSIR83s2Z9Xuw9QN9KFfd80+Z+JdKEdKaioRFy9RUlyMq6srI4cNxcZF058xheeFK1e5d+cOXXr0oGuPnmaNO1oh9kXCMy5dOI+vrx/TZs/FysoKW5FQU33ZaG0uLCxk3Zqf6TFkNO7+FWxsd29dJz7hOZPKqVIBZDIphzetovvQMXh4++oqHyuVSvZtXkuTbv3xCQgiNytDl1Mik5bw8aShNGnbiUvHD/Lw9jWCatZh/MIP6NevP7bluThiQRnbN6ym/5ARBARX4/7jWACKiwq5d/0yl08eJjCkNgu++B6bBvU5vGMzm3/5DhuRiMhnaSZzoY97d6IYP1DD/DRi/CS+/OFX7O1M17K9e3Yzb7bG2+Lh4WmRcloLY+VA+/+3FXb7C38s/PlyFMx4CM5ei6Ju9SBqBFZefRUsKwgbjkcwa3CPinh4PYu+FlqhfOfR0/RrGYpnkHlrYIlMzqrD5/hk8Syzm7xarWbDwVO0ruZDIz0uce090/MK2R5xm4WDOmNdWFjRb2YeKpWa2zn5JKTn4Bvgg6O7N6VlZZTZOVBQ7hQR2DnSqHlrWrZobiB06wuhCoWCY0ePkJOdw6jRo/HUS7Q0dvXm5uZx9MQJFHI5vXv2rDTmGjQx0TsPHMbf14f+Q0dWUMwVlrBq5S86rmktbl69TE5WFgOHV1gwnERWxD15TNTNG0yebjiPT2IfM3/GFLIyM+jRuy916tajXYdONGvZimKl2mABun3zOomvXjFq3ASDPmKfJeDr7kp2VhajBvcjN8fwvVq4eAn//vo/Js+pD5lMhq9nhffA2tqap89fEuCuWTxfvHjJjt172H/oEK9fJ+raLV4wn+/+85Vpf0aF26qiNPyvcxS0SM3I5M6DWAb3NmTseRdh6ujps7Rr1QJfI/pNc4iKuYdaDW1aNjMrHKnVar5du4XF08YbCL364zlxJhw7O1t6dzPNPZFKZfyyfjOTxowwSz8a9eQlt25H4eTshLubG6WlpSiVSgoKC1GrNMJGSEgInTt2QGShRopareZc+Hninz1jUP/+Bt+NsRAok8k5evos2Tm5tGvVnJbNTBm39KFSqdh/9CQKhYKpg3vq3m21Ws26XQdp27wxzRrU081J3P0YIq7dYuGUsQYCdEZWDlsOHGPZzInYaXNCJDm8Tknnk582cOj8VUb16UKd6kG0b9eOLm1aYFtapGlXHlP+/PUbjl66yeLZ0w2SXNMys1AoSnG1KqXpsBkUSEooLK7IwercsjHhG7/XFayyhBq9xpGUXuFJvXp4G+2aa+YnvVjJ7kNHOXT8NNH3KhiXvDw8SHlyp9J+qwqRT43f9Rtr0byZ+saVS2Zr2GzYvps5Uy2zLJl8C0b74YukVF4kpdK7veFwzQniuQWFhEXeZuKgcmpQo6RildiVjTv20LdHV4ICDL1BWty5cY245y+ZMnKwyVhUKhVrNu+mbcPaNK1dXXOsfI+TZ2aRXAbh9+IRObri5+GKSuxEqbKMIqUQZZkStUiMj7cX3fsMwFFPode3XgPci7nDrevXaN22HS1aGxbw01cWCqSlXIoI5/XLl9SsXYcu3XuYra2gz+pz/sJFnj59xsSZc1AKRToL+dGjR5BiY2DBz8vJZvf2LQyaOAt7vSrsCrmM49vX02vEBFw9KpQmSUE+Bzb8wvFt62jdvQ+B1WtRp3EzGrfthIOTs65fgMKCfA7v2MSM2XN1uQ75MiWv0rPJzUwnoEYtPp40hOy0FHIyKpQCe7EDx28+wsnFPKOjlinwb8sXcnjPTt3xf/+0iqlTpwJQLJFw/vQxDh04wOVLFw2uz5cYeqXeRqVqCX/lKPyx8edSFPasNHsuKzefyDsPGdG78qTmyrwI524/oG41f6r7eplVEvRRJJVx6Np9pvWqSKAytuy/SsvkYkwsc6aOsziOracv06xOdRp7iU3aFMvkrDwZyahGIQS6axaNkkwNJ7LYW0NhWCJ2QKEsw9bdBztvP5x8gjQ1ISpJas5XqDl29Aj5efkMHT7MoAaAMZ49fcqFiAhcXF0YPaifwWJtCWFnzvLqdSITxo3FtTypWya0JTcnh7XrNzBm+hwcHDWCtFqt5tSRg7h7eNChaw+Dfu7fiCQrK1PDaGSEjPR0Du3fw9yFhhzZ+m5OgEsR5ykrU9Kzj2lMd5GijKSEON5bOBc7O3tat25FYWEBcrmCefPn06x5BUWftaKYk6fDaNyoESE1qlNQUIhAAM7Ozjx99oxNW7axau066tcPZc78+Zw7dYKE5y8oLCxk7OhRjBoxnKZNGpORmYmdnR0e7u4VFigzyoC+ovY2ZeH/laIAsG7XAYOk5ne1uKakaUKCBveznPeihVqtZuWGrSyeM113zFhIkhSXsHrHPj6cO82sQq4Su3Lu4hVUKpVBXRDdeZWKNZu306FNK5o1rvAQ6n83EokESXExNtY22NhY4+jo+Nbq0hTncjr8Ai9eJ9K7/yDq1TWNA9ciPSOD4ydOIhQKGdar81sLSQJE373PlRu3GDVkINWCAg0Yx1Zs2cWY7m2o5u+jE/wuXL9NanqmCeXl46fPibh2i0VTxxla3yU5yOQKfth6gMUTh+Hs6GA+p8DRg/tPnnLnQSzTplf8Bvq/U2bic6Z99h2vk1Lo3boxMkUpBYoyxvXvzqBu7Q26O3XlFjUCfKkfEkyJTI6itBQ3ZyeSM7LYF3aRL9fuRGxvz/efLeP0has8fZ1EUkoqQ/r3YdzwIXRo04pchcai7eXpqfud3pVdyxj/C0Xh1tmjJseFJfmsPXDKoqJg1ptg9JtojVBzRlf81sZsUvr4ZedhFk8cbvj96CkMSjtnvvt1LYtnTzegItcfz8O4Z0RH3TbL+KfMTufAxZs42dvRp74mN08/fNbW20vzTliJsbG2xt7bD7GnPzY2Nhb3Me2aePnqDWKio2jaogVt2pmG04JG6C8qKmL/wcMUF0vo1rM3ITVrmW2rj+zUNxw7cpiu3bvTtKkmN0uiUFEoV7Jj21Zq1QvFq05jsksUeIpFSFJecjvyIl1HTcXK2lp3PD8nm/CDOxk4cSZiR0Pru1qt5sSODbTtqfEyGNy//HoA65J8Th3cw7iZ87ERiXDVqxmUWaxAWVrKun99zO1L5+nUb7BmjgtyadK6LSMmzTD4bR/FRKNGTb2GTVCr1UhLigny8SQ5M4fI8DC2/PI9WRlpfP39z8RERxEfF8vrly/o0KkTY8eOp1uPHpQplcgVctzc3E0IJ/5SFP7/iT9n6JEelNnp5KdlIlbKKl0Q34Zmdapz7VY0we3eznzkZG+HQllGkVSGk5mkZoAaft6EVs/n0JGTDO1svprllA6h7LwYhbKaH81rGi4UDna2fDiiB9tPXEIoFDCylWlMrpujuIL9yNEBLIQoqFQqrt+8ycOHjxHZiug7eDheFgpfqdVqrl+7xoMH96lTpw5z5s3TbbgyTL0N2kU7IyOdPbt2MbBXN/r362tw/klsLGfOnWf+kuXI1OXc7TIZuzavp2uvvtSsYyhInT56iAAfb7NKgkKhYN+u7Sxc9r5ZJUH7b7VMQkryGyZOnWH2OTNeP2fpvFm0btee7779FpFIxPFjxzhx7Ciffvwxrcotur+uXoOrqwv5+QUIhUKEQmFFITiVCgcHB+rVrcOYseMYN2EiSxYt4Mt/fUXdevVoEBJkEIoSGBBgMGdvwx8lDEnLm4+t5aJ/VYG/rw+nMipXwrUQCARUCwokPuEF9WrXNNvG0UHMuMH9WLNjPwumjDXbpk/3Lpy/HMnJs+cZ1NewqJJQKGThrGmcDr/ArTt3mTRmBGJPQ6IBR0fHKinIQmk+j57Ec+1WFGq1mt7du1TcrzwhUh9P4uKIuHAJHx9vpk6epNtwVVgWbEtKpGzZvY96dWrx/sKK+HuV2JWsxBds2neE+ZPH4GalcS2qi7LZcjqSmtWDTZSEy7fukPzqOUvH9AMztT9W7z3GoglDNUqCBahUKiKu3uL9OVNAWmCiOGZm5zLrHz+iRs2V1f/A1dGB20nZbDt6lh+2HSAs8jZBft58vnIrgb5eJJd7DaythAgEQk1ISlkZtjY21KsRRNdWTVj51T9oMWAMP/zrcz5sGEqdkBo4OIh182tu1f8tVLz/VxCWSqseHmWheOi7oGe7FpyOvM3ALnoF7bQJ54C1rJDFE4bxy8pVvL98KbalpsnSjYM8EMrqs+HAKWaNGmAyhtHd23En/gU/H73I2C4tMc7gshPZIHZ1q9izzYTvafEsOYOLEecpkspp0qwFcxZaroOQlprK2dMnEIlsGTh0GC4uribhSMaCbVlZGYf378VGJGLGggoyAolChVQqZdOa1bTtNQBbr0CySzRJwhFnwxCpFPQYZxgS9/hJHC+irugSk41x+eQhWnXtZVZJ0P7tKRZx7vghxs9eqMvl0y8s6mxVxo//+Sexd26x4tA5PHz8kGclc2DrLXS7VgABAABJREFUei6cOs7DO1HUqF2HsIN7kBQVkZ+nyYERWlkjAGxEIhQKOdbW1gRXD6F6SAjbDp9kyvD+zJyzgInTZtC4fh1c3QwLOVqCo0j4m5WFv/DHxZ/ao6BVDMJu3qNJrWoEeJnnoTbH060PrQdh49kbzOrb3mwbYxTL5Oy4EMW8AYbMAMaehQsxj5HK5AzsUGGhNvZY7L18h5p+nrSuW93kPvLMLFLzijhy5wm1HMV0rhmo8yjYenshdPU2oUhVqVTEPXtOVGwCcpkMtVpNu7ZtaNSwoQk1nBZKpZKw06dITk6mffv2NNVLJjaGlgECyq0ix45RUFjA+AkTDeodAJw4foxiWSmDho3QCfPpqSns27ubGbPm4KRX/VilUrF36yaat2lL/YaNzcYwblq7mhFjx+HmVvFbm2NVOLxjE2PGT8JebOitKZZIOHH0MB8tW0TtOnXp3LkzKpWKdu07sHzZEr7/z1cE+Ptz8MgRkt4kk5KaSvu2bYi6c4cZU6cyacI4nJycUKvVSCQSHB0dEQgE3HnyjK2bNlFUVMSGzVsszt3vjd/do9Cgrvr26f0mx9+kpPEoMd2sZf5dsH7brkpDK/ShVqv5YdV63l84x6y1WosnCS+4GnWXORMqQteMhdZLV2+QX1jIsAHmq4AWSSTsPHoGd3d3Rg4fplEKKxEu1Wo1r98kc+vOXQqLilCpVDSoV4eObVtb9DiU2blw5eo1Hj16TL16denZvZtFwc743ldv3ubew1imTRhtkFcBcCPqDg/vxjBnwkidQCLJTGbVnqOMHTmC6oGGYSOHjxzFQWxH3456sed6VuT9J8/SsG5tGvi7mnLc6wmnR67eo3H9OtSqrgmf1M65Mj+LiOu3mP7+51gJrRjRsyNF+bn0bdOU91bvZsmkEbRoUIezV6N4nPCKlylpdG7RmAdPn9OuSUO+XDQVJwexpnp6iRRbkQhrayvyymz4Yf02jp27xKOblwyGVRV2qt+iLKjsXbFzdvufhx5p2ag27Dlk8B5XCiNFQbu/bTxxgVmDNR7aqhjMft11hFkjB2BvZ7Qv6P32OXn5bNhzmPdnTzbMw9EbQ/zLN1y8fY95Ywfr3mvtmFT5mZQqyzhw9S6SnDzGtG2IvchGt4fpxmpEkZqRmcmt21EkZWSjVqsJCAykTeceZqmTtYh78pjrV67g4+tLnwGDdKGBlggptILtg9g4Is6cZMiocfj4+RvsP69evuDIkcMMGD8dB0cnMosVZBZJOb5rK01atKB1eciTVshPuB9NxptXdBg0CoFAYFAZ2dtBxKOYaCSFBbTr1tOElUjbB4Ak6TllBdm062ZIB65SqYh7eI9vPl5G4ssEug0ehUIuo0nbzlw4vIu6DRvTpc8A4h7cIzbmFilJbwht3JTUpCTELi588p8VOLu6YWVlhVwmQyAQ4O3iQFlZGZvX/MLPX/2TpJwiBAJBpUQeleFdFIa/PAp/bPzpPQoAKVm59Gvb1OL5tykIvwUOdrYEeLoSn5RBvSAfs30KXb3p0aIhF2Mec/JaDAMaBpnrinFdW3Iq6jG7L0UzvmtL3SKrddH6uzmxsFcbbt57ytZbj7F3ccDRw41afhJKrDPIK4ulqKw8RlkkRigQUKdWCKNHDMfeTJVM/Rj43JwcThw/hkKhoG//AQweMhSo+MjNLRJaJeHNmzfs2befvv0HUqtOXWQqoPw6mUzG9k0b6NilKw0aNdYJ84/uxRB15w6T5y2lTE+gKios4OC2jYwaNxH/gACKFGUmCU9hJ4/TtkNHAyXBHFKTk3BzczdREgoLCwitXmExrlevHtVDQigqLGT1ql+ZPmUykiIJr16/ZsrECTRv2hQ7C0WdBAKBLpErR6okOyuLPbt3MWv2nErHZgnvkpfwP4eeRVGLx8+eE9q4cp7/yvA2Qc5YAVCJXREIBPTr2Y2w8xd1LFHmEFq7JgKBwCQ0Sh/dOrUnKuYeKzdsZfaU8SaChpOjI3Nnz+J14hvWbdiEiFKshEJqhdRApVKRlZNLYWEhKj3DSnBgAP16dsPVKHHUuIq1VCrj6Omz5OTm0al9GxYtmKc7Z/x7a98D7XwVpr9h294DtGjSyCAMCzTKyo59h/D18Wbu3Dm6OXyTksaeg0dZPGE4Yq8KJUGpVLJm01Y6Nm+kK+6oT6+Mowd3HsZiZ2tLgzrmvTi6ccsVpLx5zXC9eiba567eoR+Z2RoBsnuH1gT6eiHw82bdqSv07dQae1sRT1+9oWf7Fvxt7sRKvRYO5eEucoWCZ4mpHAu/hKMRu1pVKWz12+kKSv6GGhn/K6RmZGnIAswVS3sLjGlIs/IL8XJ1tpgkrI/Jg3uz/fg55o4ZbHhCbxwebh7MHj+CHzbs0CgL8orcOe29azmLsGpYg28372X2qIEmCdU21lZM6NaKPEkJe85cxcbJCUggpGZNHLx8yI5LIze/EKW1LWobze/u6elJs3Yd6ePrV6ngWVZWxsXz50h8/Yp69UOZMXe+gRJembCrUCg4uHc3to7OzFq0XHedds+Kunye1MxsE0rU09vW0aDbUEJCgnXCvVqt5taZo4idXeg4uGIt0g8lysnM4GnsA0ZO1nggvB1EOmVBX0kAuHvtEnMWLTUZ898XzeTiaU0xwtr1GxIcGIiDkzPRF07j4upGtZDaJL5IoH69ukyYNAUPo2KP+l4JWzs7XSHSlwnPePYkVjenxoY/LaqyX+nP+V9ehj83/rSKgrHwLxAITIT0d4Wad/OuDGrdkLWnrxooCvrQjqdrTW/OxjzhxpOXtA81TQQGGNi6Ia/Sc1hx7BIdQkNoXbc6tt5eBvGc7ZrVpUmAN2JvN1QuLrwqVuNvb4tfzdo4eAUY5CcAqMwoCVC+qF6+QmzCK1zdXBk1ZiwOeslX+h+1OYVBrVZz+OBBJPJS5i9eZmJBfRYfR/jZMCZNm4HQ3km34F6/fAFJUREjJlWEA+XLlKS/iONm5GXmLFxiUTB/cO8uqrIy2uoVpbK0+Ny8eI5J02aaHHdycmb9tl3k5mTTsH49OnWuyGnp1KYlNjY2dO5oGOv64sVL7ty9S5FEwshhw3R5FwDbd+1m/cZNxMU/JbRBAzp36cry9z8wO6Y/HbRCQrmQIpXKcETxm+snGFP2vq0IlvZY42o+XLl4AWHHFiZt9FG3cXNKbRzYd+IMYwebrzPQukUzatcMYf223YRUD2ZA7x6G45DmE+LtzMIpmg1eqVSS8PI11tZWNGvcEBdnpyqHdgiK84h+9oZbd+5ia2vL0P598PIst5aWtzG3yeontF+6EklcXDxzpkzE3ijEMTMrm80HjjN65Ehq+mjeSZXYlccxUVyLvseH08cafJepGZlsPXCc2UO64+Xuqnm+8jVUK0ymvXrGjZgHLJ729qJ4py7fZKSZnDBhST7bfvwXGVnZ2NqKNIw45e/SuP7dOXP1NjNHGoanZOcVcP7GHSQlUnq1b0n1gArBNvzGHX7Ysp/r92KpXT2YYH8//vPF3ysdm0xoaxIiaYz/SwVBVc6lZRwSVSKVIrYQymqCSmi/baysUJRWCIJvUxZcnR2xEgopkcos31+Sg4cNzB7SjdUbt7B08kizzWr4ebN4QGd2h0diKxIxqk0oNkbCppujmPmjypmSnD1JkmuqYIcG1sDFLxiBnmJknLhsjFcvXxB56QIqlYpuPXvTq6/5yuvmYKeSczfuOSdOhzFo9ESEjq46RQDATl3Kvu2bad66HUO79tIJ1zmZGZzevYM+E2Yj0tuv5NISLhzYTrMuvfCrXpEHkVYgw8/FTtcmYv9OJs9fBqDLN9AqC/qeh6QXzwipb1ovBmDC7IV07TOQ/LwcRkyaofvWR06ewe4Nqxg2YSrWNja6ZGWFXM6Fs6cpLpZQv2FjAupU5GQ9j4tl1+ofibxwHk9vb0Jq1mTD9t1YW1ubKFhv+64sobKQpN/qsfgL/+/wp1UU9OEktic/9Q3O4oqP9m1Kg7E3Qa1WU1kUlqX6BTYKOXnJqbgFmmeF0KJvi1A2h9/Ey8WR2gHmlZgavh4sG9adG09esvpkJIFervRv2QCbclYQeWYWYm83nbu2IXqu5bdU+M0uKSXm2mVevnqFQCCgXdeedOplKlAZf8zGH/HzhAROnjjOkKHD8C5nfdIqAmq1mpOHDyASiViwRGOZ0Z47c/wIru7u9Bk01MCacfnsScTWQqbNW4SdnvfASWSlyTVQqzlycD+2traMHW1+czIYr40QlUplNiZUIBAwYPBQk+eyU8l58iROZ+lVq9Us/+AjPv34Q7754Ud27t6Dq6sLN2/dZtCA/ri7uyMUCpgzfyGBQUHcuf+QPbt2Mnf+grfSxVnCH8KTAKiVpYaCRblAUsfXlacvE/EqrxGhL9y/q9JgUo36LbSVoXVq8iThBaEWchW042lYvy5vklO4eDfOpOCaFm6uLiyeM534hBes3rQNFxdnhg3oi6ODqVXb2traoPrx26BQKIi6e5/HcU9RKpW0aNqYBTOnvlNhPYCszEyO7NtF61YtmT93tuY6KpStiCtXeZGSxXtLl2gsfuXHr968TVJKGvMnG+b2XL9zn0fxz/h4/nSs9ARTa09f3W99/kYMr5LTWDDCvJKlQ7kQlyFR4FejjtkmvTsbzX15IvTJyzeYMaK/bj5+3HaALq2acONeLMu/XUM1fx8OnrvCzJH9cXdxJtjPh/5zNNSpKVERbDt0nNGjR1MtKFDX9R/JI/Au0CozWmVBJXalRpCSyNsx0KFN5Re/pVBdWk4eAV6GirVWKbSkMAzs2o6wyNuM7FN5dXoPVxe6t2nOrpPnK9iS9GDt6Ys1MGtUIOnZuWw9fxWBVMKQTi3xdjNl3rH29KXmWyoy6+9JKpWKJ48fcf9uDAqFnGo1QpgwZbpFy7cWxlSqxcXFbN23F08vLxYufY8ixf/H3lmHR3HtDfidjfvGQ7Dg7u7uroVSSoFC3fW2ve3V79Zve+sGtFCsuLtrcEJwCQSJu25293x/bHazMmshtKWd93nyJJk5c+bs7Bz5nZ/pLOaly+cSObR7O4/MfJTAoGDTueRrV9i7bRNjZz5NtplQkXbzOke3b6DfxGn4+PkT4e9t0g4YhYRr5xM5sX8XU2c8hoeHh2kRb+6cbM6ZIwcZOH6KKcSqOU1btaVpq7amOsCw6bZv+2YGjhqPZ7l52NYNaynTaIiIjOLFx6bToHFTyso0THv6JUJCw6lWowZThxgE/lU7DnD+5BGaNGtBuw4dq0xIcIQiJNwf/CEEhXpqHy7dTqddfXnTHldMjG6kZxMXFeZSQjNzBrWoz+bTlxnjLe+A5WMWCnLGgM58u+kAWr2eJjXt7/B079qZ7l0h6eJ5fthyEEmSqBUZSvdmdQny87W06QRZ1XR2dg6HDh/mRnIyAF6BIXTt2o2eg2ydzYw4Mjc6ffoUe3bvpn79+jz3wosUlY9rRkEgOzOTpQvmMnjkGGrXqUdBmaEunU7Hwrnf2eRN0Ol0rJj/Ay3bd6JTe/nd4rL8bL74aR7DR4+leSPnC7Ygbw/OJp6hafMWDstZf76r15KIi6tt+l+j0VCvbl169RuIv58fYaGhfPX5/9i6fTsLFi4iPSublJQU6tWvT9du3dm+bSsvvvyKrHByv2K9sKhfqzpLN+2ie5OKcL7G985VLYNer69Uptzendvz7cLlDgUFI0MH9GXVhs1s272X/r162C3XuEE9GjeoR1Z2Dr+sWkdJaSkR4WH06trZbuQh689ZVFTMkROnOH/pMkIIvDw9ad+2FbOnTZH1U5BbBJlz48YN1q9dS3hEOI889hQhVkNKkeTL93Pm0bZta2YNtnROXrxiDSHBQTw4frRFhufFazYSHBRo1yRLFxzGF/OX06FFY2ZPHG7ZXqscD0YKi9zY+S6nVKNBkiS8yxcwQgiCA/xZsGYrny9cRd2a1Xj90QdJuHiVXzbvJis3n+u3U2kYV4OmjRqycPUGnnj8MZNA50hAuBcLmqpEX74hZa35UAVHUKa1XTA6zWBNhdDnDHsCQ7XIcFIynCd7A2jZqC7FpaXMX7OFyV0rgn9Y1xkTEcaTk0dRUqph1fZ9ZOacIyjAnx7tWlSEMrcjJBgpKyvj5PGTnDl9Cp3O8GyaNmvBA1OmyuYsscY41hsTgWkLc1mxfBmSJDFm3HjUarWFICKEYMPyxQQEBvLQ489i/m0cO7CX2zdvMPnRJ0kvKiPC34OMIg3njx0k41YyQx5+3G449APrlxMVpmbszKcIsJP0zFoY8PcQVAvxN/hDyAgL1qh9PclNu02T+pabccVFRUwbN5z2nbvSvks3Q3t2bCUnO5PbyTeoVbce1apVZ+uGtUyfPoOYatXuiZBgrVVQhIT7h/tSULAeEBvERrLhSKJdQcEVjl26Qa8WDaDENlulI6JDAknPs40EYaQ0Ld0kLEiSxGNDujFv2yFyCorpIpOV1Vz7EdewMU82NMRCv56SwbrT5ykqKcUj0LAzIxBIvhWOjUIIhLfBLj8wLIounTsxeNBAuw7M1linaD965AiJZxIQQtCocROeevoZs4GwosMfO3yQ82cSmPHkcxaDd15uDj/P+Y4JD00jIrLicxUXFbJkzteMmPgQ4VHyZltnE89wYM9uHnv6OUID5NtuHHjM/RgO7NnN9NmPy5aXw1tbzPyFCxk3ehQff/o/bqdnMX7EUJ5+8nG6dulMWVkZ7334EXq9ns8/+a/pOaak3GHxwoX0HziQ5k4Ek/sZ446zn68PJRpL+1lrXwY5PwNzLl9LokFd+dwjslqF8gWSR2C4IVu5Xu88NCkweuggNmzdwYp1Gxk73PEOeViomulTDDvw6RmZ7D5wiKzsHCRJQtIU2ZhJGYM/CG9/fH18aN+mFT262HdgNn0+mUWQXq/nzJkEjh05glarJSo6hlmPPVaxO6qvyB596eo1VmzexawZMyzM38rKyvjq6+/p36sHzZsYoofp/dVQkMXnPy6md+f2tGxSvvNvteC8k57JnBUbeWryaNTB9iM7mX+PqqIc1mzdxeDe3SzrlNmsMH6nQgi+X7ubNo3q8e3SdZy/doPeHVoxa8JwLt+4xbBendkZf5Lrt1P57+tPma7PKyhkwZaDNKhTm36DKpzQ7WUy/70LCPYwN0Eyjt+VrktGGDdulJnPLXLmSNHhoaRmZBMdYRvhxrp8p5ZN8PL05JtVW5k1Uj4fgRFfH28mDe0LQD6+7D1ynM1Hz6JSqRDe/qZ5y5QLRK+nTDL0gTKholmLli4LBmC7AL129Sr79+8jt6CI0OBAJj04BX9/2+ecm5PNygVzGDRqAtVqVmyIZBeXsXHFEiKiohkxcYrFNYe3rCEgWG3hj2Akwt+bW1m5bFv0Ax0HjqRJg4rNLnNNgPF/4+Je7etJ4qkTtGphmFfMfRisrzFn387tRERFsWHVck4dP0psnQZMnfYI2ZmZfPHjYvJyc9i2YS2fz1toupemtJRDW9ehUqmY9MADss7LjvqVeWATV1CEg/uT+0dQ0NlGtgHDIBjs70tBieFlltMI+LiQ4CmroIjw4ABK3RQUAMIC/cgsKCI80LVB/pH+ndlwJJF52w4xdfRQGxtOOeo1b0695jLZoGWS5IDz3Us58vPz2bFtG6mpKXh6etKhUydmPDoLlcqwIC8sE2Dmx5FbUsaKxQuoFludKTNnW9R15eIFdm3dxMwnn8XbzHE0Mz2dVQvmMWnmE/j6yT+v3Tu2k5OdxaNPPCV73hyjsBDoreLSxYvUq1OLEL+KCcXeDkZpaSlPz5rBqrXrCAoMZPGSX+jVswdxtWsxfvJDhKpDuHnrFsXFhgRRGzZt5mZKGps2rCYzM5Po6GieeOpph9E3/mhIcnmKHSwUrZ16L19NokXTxq7f0KzOru1bs+/ICXp2ktc+WQslQwf05djJ03zy9ffMmPIAwS6YhEVGhDN+5DCL9tvDVXMr60VtnlZi757dXLl8GUmSaN6iJQ89LJ/R2ci6zdvIycvj5Reet1gEpmdk8P2cecyeOYNIf8t3+5Ov5jJt/Ai7mbQTLl5lZ/xJXn90sluasPyCQrJz86jmwpgK8Mb7/+OLHxcDEBkaQtumDejYojGvfPgNb376AzfupFFYXGIq/+qMB9h55BRJ6XkEBQbw4OihBMcYNoDsCQhyf1eV0PBrmwRWRuNmzq2MbGpYRf9z1V9vSM9OLNu8m0fGVAhl5pty1ht0bZs2IDIshA9XbeXhkQOpgR3M+nEQMLSPQdNn3Yes5yxXHWCtF596vZ5jR49y4vgxAOrUrcvYcePRe5ZnOJZxsj19/BgHDh5kyuxn8DJLoFhaUsK6n3+gfe+B1K7XwHRcCMGmJT8R06gFtRvZzssZRRpyM9LYu2YJ/SfNwNffoAmLCvC2WeAbMR4XQnBgzy5mPWPwYzD6MMiVDfL2YOFP83jvX3+jID+fyKhoasTVoXvvfqxftohF331OemoqRYUFpmsTzl8kMy2Vi4mnCQnwo1f/QTQoj1xmbZLrCr+rQBwK94T7R1Aww56a1Z7ZkHWCl6pmUMv6rDl2gSndnOdgMDJ8QB9Ss3L5fPlm2jeuR49Wlgsol/NAmO3qWgsJjjpuSUkJJ0+c4ML5c+jKhTBfPz/69utHXFSY0+svXrvOmmWLGTl+EtWqW04R2zauo7S0hBlPPmsx8d28nsTmdauZ9cwLFGgtd0SCvD0MTtJLF1OtWjVGjTOECDTPkmmvTcYyG9av49nnX5A9Z/P5s9P4ZYUh6dGH7/2HBydV2HWPmjCZGzdu0KV1M1JSU1Gr1Zy6cIUFP/3E+AkTLLJY/xmRNV8w36220jIY38vbd1IY3K+33Xod+Sq0atKQz+ctkhUU7C3a27VuSZOGDfhpyTKiIiMYM2zwXS/E3KHMO4gzpxM4efo0mtJSyiRPPDw86Na9B/3629p3W5Ofn8/3c+fRt1Mbhg/qDyW5pr596HA8J06e5JUXn8fT09Pkw5Cbl8fn38/j2akTCTGPDmT2/WzevI307DyefWis7U0dRNhRFeXw0/K1hiy85uUdmMa8/9VcAMYPG8Diz983lZ0+ZjAHTp6lZ7sWpGRkE1qtFinpGXy2bDMThw9ieC3DmOIs6ZY97EWTMj/vaCF0Lxc9KgevoEqSbDVnxu/EBROkq7dTqVtdXktrjbWWINDfj4KiYovzzqgZE8VrMyexeMNOSjQapo4cYDIvs7eJ5Qx3hIQAL4krly9z+shBCgoqFsNt27Rh1mMVpkD2AnRotVrmzZtLcGQsk2ZaaqJvXr/G/k2reXD6LIKCQ0y78FqtlpVzv6LbwOF4hMnP0zcvX+Bc/D6GTnsSlYcHEf7eDoUEc7ZuWEv/oRWmhdbaBiNGTfqyxT+TmZEBwKFTZwGDSfDURx9n9/YttOvYhdzcHIKDQyguLmLZL0vo0qsfs8ojQxnrqYyQYI4iMPxxuS8FBTmKc3JdKmduCmSOTl/5fBJBvj4UWptl2MF8dyc6LIQXHhjGgYSLfLJ0A506daB7W/koB85wJiRkpKdz6NBBUu7cMdgK+/jQuk0bpkx92MIRTG6AKNDoLRyWt21cR35uLrOeedFiQtOUlrJw7nd07NaDpi1aWdRx7sxpTh6NNwkPaqs3r7i4mLnffc2AQUNo0MggNFkLCca/5Qai7etXMah3D/yEBoTjwcpXX4qvWcK5ouJiDh2Op1XLFvj5+dEkrjp16hqiUzUMDmblpm14e3vz+JNP2q3zz4C+MI+iOzfx9jJ8eXYTHMqYJOn91Wh1OpdMh+SQJAkfH280mjK8zfyBnC0+/P39eHz6VC5eucp/v/qOBnXrMKR/H7w1Bc59Kpw4WVuTX1DA4WMnuHLtuuGATwDNmzVl1MQHTdG8rJ0q7XHo4EESjh7myYcmWEQ8koqy+XHlRqIjI3niMUst3u2UVH5avIyXnnwMf32xdZUIIfhm3iIa1IxhUv+uDh1crZ+NqiiHs5euUC0qgsAAK02gHbMjgCED+rBx606qx0Sx8+AR2jZrTIhKQ7g6hBG9DU7PIUGBHLlyh3OXr/DaEzNM419lhQQ57EWYkhvvfsuFTq3IEK5cT6ZBndq2J10QGG6lZ9GmQVyl798grgYXk27SMM5y80fOfMmIh4cHU0b0Jz0rhy8XrSYqtiajBvYhAPcDHTgTEkpLS0k4eYLz5xLxkgxzduO6tRk2ZDBqLzOnZz81CA0lkuV3aR5y+/S5i2xYs4phE6fgGVShhUkr1HAlfg9ZmenMfvYl0/uo9vUkJTuPxT98xQMPTqPM1xD+1Sak6a7NaDUaBjxYEd3PKCSYm8la5/8J8vYgOTWd9JQUBg6zDFVrLWCYL+7HjBlD/KGDtOvQiZ3bttK8ZUt81RF4+/gwoFzgCIuIID0tlU1rVvLkM8/j7e0tKyDA3WvjzK93pS/dryaDfybun4RrzRqJw0u+BCwXKMYB7GD8KQpKNPRsHOewHnsahR+2HOTBXu3w8zGo+Nx1al58KIFhrRsSZJ20xuq+1gOt+SR9LPEiB04m4ufjTbP6dWjSsjXqYBmTCZndW6MzWFlZGdeSkjh14QppqalIkoQQgvDwCDp16Uy1ao6jMxkxLsjNhYTziQns27md3gMGU7+RpQYk5fYtFi9cwPRHZxOitrRx3btjG3l5OQwbbRu1KMjbg8yMdObP/YGZjz1JUHBF7G25HQ65gefE8WPcunqJ8WPHWBx3tqv4/kcfk3T9BknXr5OTk8PZc+dp1LABTRo3pnPHDkyePgsfHx/mzfmBR2bIZ3j+ranqhGtt69cUB79/V/Zcek4eGw6eYNoQy8godrVfVgvIjYdOUbtmDdlMy64syI+fOYemrIzObSw1d+4sRpLOn2Hz7gMIIWjasB6NmrciKjLCfuIzmXbp9XqSsoo4f+kyN27eAgyL8IAAfzq3b0u9uNoIf0MfMH8HXXHku3nzJiuXL6Nj6xb0aW9p0lBQWMiXP/zE2ImTqVsnzuLc6SMH2HfwME/OnIZnSZ7ZRYaxolSj4ZOfljO+cwtqx1Q4a1t8d3Z2gFVFOdxOTeOX9Vt5dvqDLm1kGK/99OsfyCvIZ8/e/ZRptZw4c56aMRG0blyfJnVr88xjM1EHB/HtwmXMmjzunggJznC2sKnqPtambVuxa+9+i/sbfRS0Wi2ff/ElL8562HlFMgLDtbOJHDt/ldE9Ozi9XK7fFpeUsmTjTh4ZM9hmnjWfuxy9N+mZWazeHU9RcTH169ahcat21KxRoyJpop3Ed3o/tWnOEUKQlprK5YvnSbp2Db3eEAHPy8ubVm3a0qhJU0L8vCyenXVdYCl4GOex/LxcNq9cSmRkFD2HGJLDGXfs7+QVs3npfNq1aUOLdh0sFuiXriez/peFPDDjcfKFYbPCXEgQQrB7xc/Uatycus1aA5jCnZprE4wR/awpKS5m7tef8+jTzzv1xzBf5C9bupRbKWlsWLsKL29vTp84QUBgIE1btSG2Rk1mPPEMMbHVObh3F7E1alK7Tj1THXLjUFUu3J31V+O9qjqpoULVct8JCtbqUPOIRp+s2snszk3xkNm1dGZylJqTz56Ey0zoYT+plCPh4UpqFslZufSWcVA2v7/dwdaMEq9ALlxJ4tzlq+TmF6CSDJ/HXp4H4e1vsr/08PSkbp06NG7UkJCYmndlamEUEtJS7rB+5TIaNG5Ct979bOo8eugAVy6eZ8D4hwgziwMthGDFogXUqlOXDl0s8xMYB7qrly+xZeMGHn3iKZsQd64ICufOnuVI/GFmPywf+93eruG5E/HczCpgQL++pmPGSFH//M+7HD9xEg8PD8LDw5k85SH+/s9/2X1OvyW/pqAAMHf9LkZ2b0d4SIUA69BMzmwRodPp+GrpOp6cOc10zJ0de61Wy9ylq5n14DiXr7GHTqfjclIyicmppKVn2LzTEhXeOJKmwm/JaBZSo059mjSsT60a1W2dR52EeDRi/n7n5+ezZNFC1OpQJo8Zjpcm36LsxStXWb1hC088/ayNI+amzVsozE5jwqjhFc/TbBGZlZvHV4vX8PSDowkJsuO07MAZOSMrmx+WrOSVxx5xWSOk91dTUFjIkhVrmDl1sqldhUXFHD9zjn98+g07D8QDEBoSzKgBvfn+g7+broXK+VlVFkdOmfdaUDDe37jg3b57H2G+Ktq1aOp6pWbf92c/r+SZKWMcFHbM10vWmJKvyZkf2Yu2Zy2w63xDSLp+gwsXLnDz9m2LwADGv83XH1rJk1KdMB2LjIqmQcNG1K5TV3ZuMH9m1v5QUCF43CkoAyAjv5ita1dQUlzMpMkPmhJyGoWE3Ows5s/9ngFjH6SRmUZF7etJ4umTHDhwgLFTZ5JZYljkmwsJ2jIN+3+ZR7dBI4ipaakNMvoXODI70mg0/PDFpzw863ECAh37U5kLCT66Ej7/8mtmPfO8aYzRaDRcPH+O77/+gmWLF5Y/yyhatGnP+19+R0BA4D3TJljjTLNv+lsRFH7X3FemR3KDlkodZRIWxndvzeozV5jc2/33LVodREp2nsPIKtYJ0MypGxXK5oTLdgUFlwkMxxdo1bQRLdo7iadthmy4QDtmOHL2utYUaPSkZuexaOECAgKDGDF1Fp6enjYRYFYtWUhUTAyDJlrugGk0GuZ/9xX9hgwnrq7lDrJxkDoVf4CkpGu89KLBSdPd0Gnnz53j0MEDPDF9qt0y1p/VOLHs2neAJ2dOQyrOMT270FA1QwYPYsjgQWzavIXREx4gLS2NY0ePOm3LHwnz3UPr0MIPDujGN6u38ewEQzQhp740ZmZIHh4eeOpKKcm8g7+dZICO8PT0pLC42OXoR47w8PCgUb04GrRo7bSsrFbBBS2GtZBgnam0QKPHz0Pwy9IlFBUW8sik8QQGBtrskG7ctpPM7GxefvoxhJmQIIRg3vwFNK4Vw1A7QsK5EydYd+A4L44bhJ+ckODEJyEjK5vvF6/g5dnT3H7mqzZsZuwIywRYAf5+9OjYlq0/f8OJxPN0GD6Z7Nw8tuw9BPw2QoKje/yaGWWNn7lfr+588NnXtOrQ2VI7ZCwnZxJnZpYUFxvN5Ru3qF+rus21rqDT6SnVaPDx9rbxB7QWEuT6gfFzlKp8qBNXmzpxMmZUVjhLrGaOUUgwYnwW1rldjNqEnBItB3ZuJfHceXoMHU3juJqUAqVmIUQvnDnFicMHGTvjKTy9vCzCke7aupnMvAImPDJbNoOyj6aQHYvnMXTydAJDKp6Hs3CmRjQaDXO+/JQpM2Y5FBLMzZaMY8nh+CN06dzJdKxAo8fb25vmLVvxyZff8uqb7zB72hROHj/Kjs0bCPX3xaeKfBKc4aqQYE/DpPD74b6JVSW0ZXbPGRc1NSJCCQ8OYOWBUy7Xq1JHmX7GDu7Lhyt2cCszx255n6hIWe2EJEl0rFedr7cfYVl8IoWljn0WZBdY5mZEbphTOEs65GwQMD9vXMDsPxTPj3N/YMjYB2g7cDRZpYYB3Lj7kp2VxTeffkiHLt3o1rsfULFjkpaawg9ffMr4KQ/LCgl6vZ4Vi35CoyllykNTXdJ6lKh8LAaeq1eusG/vHqbPtM3A7ApeXl4O7zt40EB+/OE7atWuzdDhw+2W+7Ph4+1FrzZN+WrlFvR6PdqMFJecHo1MGT2ML35cwqmzFyp1/+H9evLFj4uZs2Ql6ZmuxX13Bb2f2vRjjjsaD2M9YDlJBnqrbATfQG8VGbdv8MnHH9GzVy+enPGwjZBQWlrK/76ZQ3iomocmjEWSJFTFOaiKcyjJvMNH779L7w4t6dZJ3sxk7a6DxJ+7wvMTZSKrBYY7FBIAcvPy+Xbhcl6ePc1pQis5ioqKCVXbJtky0qZZYxK3rcTT05PHpk/9zYSE3wPmn1Pvp+ahiWN5/39fUYCPaT4wnxfkjgEQGM7QoUPZdvAYWw8cMx2z+XHAxMG9mbtyE18tXs3V5NuGJGrlP8b6LNpi1nfMvztXFp/m47ozIcHYj5xm3TZ7HrfSM/nq04/xCI5g1LTHCIuMNuUlSCvUkFpQyuKfF5B25zaTZj5uSlQGBu3hivlzkPwC6TdslEWI0gh/byL8vcm6nMiutcsYO/NpCyHBHLWvp11tglarZe5X/2PyI48SbOd6sBQSzDlz9ixt27S2e11s9eqs2rQNDw8PZsx+whSlTwlTquAO95VGwR7mu54D2zbh2OVkvtm4n9mDu7plelMzKpxXpk/i56378EnKYGLfLrLX63PSZIWFblGRdOvUmrScfNYcTaSoREPzuFi6NK4jb3LkZMB2BVczk5qr1h1F/NBqtSxe8CNhMTWY/KjBebfAKobz7r37uJh4mvEzn8bTy8siucvp48dIOHGM2c++KBt2MSszg6Xz5zJx0mRq1aplcx6cD2I3b95k48YNPPnU027vhJg/L2fPbuL4cezZt49PP/4YL09PBg8dRs2alc/VcT8geXhZvKtyzostIvwIbRHHBwvX8uyEISa/HlcICgzglccfYd32PRw8forpE0bj48b19eNq8cz0BykoLGLttt1kZGUTVyOWvt06EeDvupbCfDHhSh9yRXB3JdoYGDQBa1atoqi4iBdffsXggG/FpavXWLF2I4898hDqkGCLc9eTb7J4xRqeenSaKQGZuUBTUqrh6yVr6Na2uclh2AIXxp3ComI+m7eIVx57pFJCAjgP9an3V9OgRWs++Pub/O29jw2Z0wf2o1m7zobP8ScREuSIjmvIk888xyef/peZD00i2onprLmWwcPDg8dnTif+5Bk+Wrie6RNHEWYtsDl4ByIDw3l8Zj3KysrYvOcg6w8lEBEWysCeXQgPVdv1H3GEUQC2d409IcHZrre9+vR+ag4eOMCew0cZMfVRvH1sEwTm5WSxeel8eg4dQ3SNWhaCQFFBPl99O4cJkx4kqlp1mzwGQgh2rFpKkDqUEVNnybYBHJsb6fV65n39OeMfnGbj12eOnJBgDIpQhgcaTz/TMTk8PT35edkqZkyZhBCCiRPG06VrV7v3qwpciUpm/D7v1+zqfybuGx+Fdo3qigPf/FP2nFzm5RtpWSzec5wnhnUnyEEWUXsxpq/cSmX5rsOM692Jei6GmzNiVNcKIUi8dpOjN9Io02rx8vSkcd1atGjdzjJ0oflnqUJNgjWO4oyXqHxISkpi0eIlDJs4hcioaHJKtBYDpNpTsGbJfGrVqUfHHn0srlf7erJh1XJ8fH3pN3gYcpw5coDzZxN5fPYsWWctaxMNuTampaayeNFCnn72OVQq57tLcmg0Gn5evITpD9s3WTKi1+t58Y2/cvjQYfz9/Vi/aYvb96tKrM2zqtp+2lE/A8u+ll9cwhfr9vLw6MHUiAx3qCWTIysnl7lLV9OtQ2sbB2V3uH7zNrsOHaWouARJMggTLRo1IDrSfjQekO8/5jv61qYM9rDncCvnJJuTk8O8OT8waPAQ2jS21Lapig3JyRYtX40kSUwaO9Jmsb3nwCEuXbnGjIcmVTiHmrXz/OkTrNqxj8cnjpRPouaCkFBSWsqH3/zIi7OmVspEzPisvvtpIbPKfYecPcu3//Mhl68msW7LdnLS7hjaUQWCwt2EbDT2tRphgb+Kj4IcOp2OL776hl4dW9GmRTOb83K2+ebPurRUw9xfVlE9OoqhI0fZvE+uZlXPyMxi+579ZOfkILz8qFmjBs2aNaVWTft+cI6clo3Y0ybYs523rtO8LuO5srIyvlu8imr1m9Kycw8uZlb4GBlNhm6ePMitpKsMHD/FIm8CwM2rl4jfuYXhD820ETAyijR4leSx+ZcF9Bo2lugatWxMjMzNlswjHZk7MAsh+PHbLxk8YjQxsfZNxOxpEoz8Mn8O02c+6pLJ1ppfFnLo4EF+mjeXsxcvEWt138qaH9nrW86CBCg+CvcPfwiNghy1osJ4ekRPvlq/l7FdW1Mnxr3d+3rVo3l58nDWn77CptOX6dK6GR1buJ4syrhoah1ZjdZ9DffWaMq4cDWJjbv2kZtfYDHAenp4EBGqJiy2JhHhYYSHhqIOCXYrGZKrCCFIvnmTk6dOc6c8XKpW5UVIiJqnX3iZgrKKQceYFTIv+TJbdm1j5OSHbVSk3rpSvv/8c3r2G0jDJrYOeGVlZSz9aS4tmjflmacchxi1JySAYYH/04/zeOGll+/KRl2v15OamkpZWZnT6BIqlYrqNWpy4rgh4pZOpzN9J66GuqwqrCeDX9N+Wo4gP19eHdePuftO0rxuTbo0dyP/BxCmDuGl2Q+z69BRPp3zM43qxTGwRxe3v9vaNWJNsf31ej1Xridz4NhJ0jKzLDK+qiSJ0FA1keFhhMXWJjy8jFC12uWMr0YcCejmQkJ6RgYnT50mKSkJAK3KCw9PTx5/8inU3hV937jAuZOaxo+LfmHS4F7UrVUDvdn4oNfrmbNgMXXjajNz6uSKa8sXekIIFq/ZhEdZIa/NnCy/eHPgsGzOZ3MX8cwjkyslJBjbpPdXk5mVTV5+PsFBQab72FuQRkWE8+4nXwCQlp5OcLTd9F1OkRs77C2CHAkQRpvvqkaFcNksBxU8+/STrFm3nqtb9jBuYE/b+qyeq/nfXv4we/ZsEs9f5LNv5xIdFcnooQNNJihyYbXl2hZWQ82EBw0ho4UQ3Lx1i8TEs2zZug2s3jV1SAhRQb6GeSwslPBQtcPElI580+wJCEby8/M5lZBA4qVrqLSlIEnodTrGjxsLITE20YVKi4vYteJn6rdsR6fRtkLCwW0b0JSUMGbGk7J96OapQ9xOusrYGU8Rqw6QbZM952XzaEcrF/9M+94D8Q2LtjgPFQKFMyEBIL+4lEtJN6kWaxnNUG5e8vP149xZQ56FC+fP2wgKlcEVIcHRtUpo1PuDP4RGwYi1ZkGljkIIwfdrd9CmYRztzXbwrMO9yWFc9AghOHjqLMcSL+Ln482g7h2oGeNatksTTnbyysrKSCsRpGdkkpGZRVZODrm5eehlvh/j8KXzqpjIJU2RjaOx8LbNfFyGYfCpXqMGrVq3JiammsV583CoOSVatGVlbFi+mJDQMHoNstQUqH09uXzhPDu3bOTBGbMICLDdwczLzeHnOd/x6KOPEhYe4fLCWm4A+eTrH3hg0iRCw8LslnGVOykprFi5moiIcMaOHmV3sXj6UhJJSde4efMmLz73LKNGj+GLOfMtyvwawoK9BUtV73a2b9ZI7P/ibYtjxn5g9EWQ6ztr9h1FJUmMHiWjTXLRxO78lWts23sIlUpFr87tadbQNoyqK9hbjOp0OrKyc0grLCM9I5OsrCyyc3LQaitM51RlhvwDpp5UHvHIvC/pjf1OCNMiSStZLgo89WWEh4fTulUr6sTVRpIkG42ecfEjhGD1xi1kZWUzfdQAi80Bvb+atPQMfliwmIcnjad6NVtBzBhSc1jfnjSqFycfZ9/F72DZ+q00aVC30s/evN3GqEd6IZg0diRBgfIRl4qKipm/ehPt2rSha68+eHp6cic90yUBrioWGs60DVWutWvbRhzYvdPl8sYFVfyRo5xKSGD2pNGVjmZ3JzWNtZu2otFoaN2xC507dpQVzB3t3DtCCEFOTi6Zt66SkZlFRmYWObl5lJrlGRLe/ggh0Km8TNcApihInqKiPxojjsl9XiEEAaGRNG7Vjmpx9VGXR9yzDu1t1CicPXaYSwknaDf8AVOmZGP40tKSYjYsmkerzj2o28Q207IQgp2rfyEytgb9+vR26VmYh0M1kq/Rcer4UbIzM2ndo59sOXPhxpmwUFZWxvo1K8lIT2fE6HFEx8TIzkdCCL784nMenPIQdWoaBITL1647TB76ayZQq+o+plC1/KEEBUes2B1vWMi4EF8a7DsbF5eUsHn3AW4mXSXA35fB3TtSTcbEQRYHk7W7iWmgYvB2FjXAFedA84WocaBKPHWCg3t303fURMIiDQtD8zTzG1YtR5IkhowaK7/7cj2JjWtWMm32k4QHGRZariyqrSd/vV7PwsVLqdWgMR07dbJbzlXMdzJu37nDqtVr8fL2ol+fPhbx6UtLS/nk6+955rnnWbtmDdMeMphRrN26izbtbMe0eyUwyH03RprEhFS5oGDMV2IPe87L+xMucPbaTWZPm2SrCXNhoWrsAyI/k92Hj3Hu0lU8PT3o3bmDYQHsAu74EsjhSgQOV2P721O9m++S3rh5i8Ur1jBi8ACaNKxvs7u/40A855NTeXTqZFlfgdy8PL74/kdmT5tClJ/Z+2eV9M7iOMie23EgnoysbCYOHyT7edzF+F3k5eezZOVaysrK6NKhHa1bNDONF2XeQcyZ9yNjR48mOzub5m0Nr/LLr7zKW+/8zaK+e7X7+KsLCq1bikNb1tg97+j9vHL1GitXr+aJ2bMICAiodMQYIQTHL97g0OHDSJJEu7Ztad+uLR4lriUuddZeR+2y58sjFwnHWcQx89wLYBtZLDmvlIK8PBbNn0f95q1o1t7gs2M0QYrw9+bG5Qsc2bWVIZOm4S8TdUin1bJuwfcMGDSIuPqNAFttgbmfnhE5QeFEQiIH9uxkpJlfg3UiNnCsVTBPGmekrKyMtatWUJSbTZOmTeneo4dpDBZCsGP7NtRqNa1atyFCbfB5iqtTh5MJiTb130vsmZgpgsLvmz+NoABw+vJ1th5JYGK/LtSMkl+4uGNnXVhUzKZNm7iTnomfrw+9O7amttlkbVOXgwymd4srAyrYDs7WHTdfo+Pm9SS2b95AvQYN6d6nv0292VlZ/LJgLgOGjaJOvfqy7TlycD/XLl9kwkOPEOxjGDAro004d/48GzZtZtiYCcTVqWO3nCs48tHQaDTs2LmLa0lJpgWZ8PajW7fu1Ktfn3//8x9kZ2Xx/XffMmjocH5YsFj2Hu4IC66YLplreOSockGhZVNxeM3C8pvbzwAL8gLD7YxsFmzey7DB/WjVyGxX2omgYM/OuqysjJ0Hj3Lp2nU8PFR0atOS1k0byQcZcLEv2VuIubrocicJmNyunK++lKybV1mxbiMBAf5MHjsKlUplY1v+7cJltG7WmG69K3J9mNuUX7h8hTUbt/Ls7Okm0w6HUZqsv8/y7yQtI4t5y1bTu3MHOra23U29GyzGIL2eQ0ePczIhEU9PT4SXH5JKRZtWrWjXtg3L1m/m0/9+jLe3D4cPHSQjpyI06L02UXD0Hf7agoIRe+9pYWEh38+dR/NmzUy725URGIz1CyE4cvQYJ+INiQhbNG1Mt2b1TONgZYRvdwUFORMje++ynLmUtflSgUZPWk4+q1atpLAgn07DJuDja2lKJ4Rg19plePv40W2QfGS7vOxM9q78mdEPPkJoeIRD52RrYcFcACgpKWHB3B+IqV2Xnv0GkFuqky1njpxAIJfN2fxzgyG30IH9+4AKLU3devXo07cfSUlJdOnQjjf++jZ/feMvZOcXWoyl7oYodxVnJnxVrRlXqFr+VIICGGJEL9t1iIycfMb36Ux0mGU0CLccMs0m3pJSDbuOnOTyuQtIEoREx9CqUT2a1K2Np6eHw3rMB2JXwjHKDdyVERTMO68Qgp179nI24RQ1a8fRq/8gWf+I/bu2c/3aVcZPmYa3t220Gr1ez7Kff6RmXB269OgNYDe5ixxFRUUUZtwhKyubs+fOoVKpeGDCeKfOUI5wlkfClWvUgQaNyM2sAovEQXK4OsC6KigY0Wq1SJJk+l7yNbp7KyjYbZStAGEuNHiER7P14DESLl5leK8uNKpTs9KCgjk6nY5DJxI4fe4iYAjV2rxRA1o0ro+fr69sPbL3cnMH1Nm19pB7Z68mnmTH5o2EhakZ37eLjR+A3l9NwtHDbNlzkEcnjyWkmnxksFUbNlNcXGLj8Gx3/DD7zko1GjJz8sjUqEhKvkXSzds8MXWi69GNHGglrD+L3XMywtYTj81m0c8LyE1Pwdvb+66SRbqDRWhSvR6dTmdh9vRbCQqmNtl5506eOs3O3bvp1LED3Vu57j9nr16jM/2Zcxc4dPQ4+uICPPwCaVi/Lq2aNyUkONileox1uXtvmzoczGn2hASAO7dvs3nDWnSSBx37DUUdFm4TtSgz9Q47Vi81RTwyYu6YfPpYPBcSTjJmynSLsKn2hAVzQUGr1SIV55OTnUVhdjrHj8TzyKOPgW+ARTk5rYMRRxtEcte4Mu9s27qF8WNGE3/sBA0aNrQrJFgjV7e7QoWxvBCCsrIyi/WDIij8vrlvBIUaUeHisxemM6Rz6yqZQDRlWpbtOkR2XiHj+nQiJkxtcd4VbYCjHdeComJOnr/M+as3LHwJYqOjaFK/DnVqVq8SR2VHQob5oGpPQLh96xY7tm4iv6iUNh070axla4s6THaTeXnMmfMD7Tp3pVVb+f6clZHB0gVzGfPAFKKrxVpcD/YHk4KCAjZuWE9WZhZBwUHEhoUQFhZGjRrVia1m8KGorKDgrpBgb2dx2OBBPDT9UUaMcS0rsKOB01mED2vyS3V8/9UXfPLBu2h1Wjp16cbU6TPpP2gINcODqnSArVOjmji7di7eoS46JTvoA0II1u85zMWkZIYMGkiT+nUdVuWuwFxaquHMxcsknL9ksoEWQhBerQaN6tejQd04WSfKyppKuIsp0lF2Nhs2rKc4J4vGjRvRv1MrQ04Eq8+o1WqZs2oLMdFRDB9kq8kDKCkp5au5P9GnRzdaN7cNHGDvuZVlp7Jp/xGSbqXg7+tDVJiasGo1iYkMp15tN0P+VrGgYHxOb7/2Mt4+3vzrb++41567wLy/b1i/jpeef46srCzate/AA5MmMXnKQ0SFqau0j9WuWV0c27nR7sLbHvbew8PxRzi0bxcd27a2m1PDlfrk+oBOp+PC5aucuHCNgoICAKSyYgIDAmjYvDWNGjYgICBAth5XIyo5wjpalr25rKSkhO1bNpGacoeo6Bi69BtMkd4wrhqFhKgAb4MWYdNaCvPzGTJOxkQSg7C4ftkiIqJiGDLYYIYnt7g3J6dEixCCU0cOceHMabx9fKhRLRp1aBjVoyJo0KgxhVphUZd5PVUhKJhjb05ZsngRixcuZP6y1RblXMlhYY4r4WzlOHXqJLNnzuTypYs0bd6CoSNG8dSTT1ArNkYRFH7H3DeCQrtGdcW8N59g0+FT1I2NYljXtjYCg5w2wFkyKE2Zll92HqKopJQH+nUhOMDfbl3m2S9dxmwyFUJwKyWNc5evkZR8C72w3NGvGVuNTq2bExFmJ6aygwlaLnqJvYH11s1kdu/YjkZTSlR0DJ16D8DbakFlHISEEOzctpWrVy4x5eHp+Pn72wxgQgi2b1pPRloq46dYJmdyJCjodDrm/zgPlUrF0GHDTY5VrmSOlisnhyNzI0dlzRFCUL9ObTbu2EdsDdejsTjbhXFWFgyLzPffe5fdu3axYOEigoOD2bZtK59+8gnZWVncuX2rSgfYVo3qiZnjhhIc6M8DQ/q4JjA46Q9CCNYdTuTK9WQmDh9IbLT9QACyWWddubdZn8jIyubc5Wtcup2BpswyUWN4WCjtu/akRvXqFdGQqkBIsK4jKzuHjXvjSc8tICg4mDGDB6BWh9g1rTiWcJbt+w/z8NSpREVGyN7j4JFjHDx1jukPTyUkpEIT6sieG2DFypXcSc9iSI+O1K1pFh2lsnlcXBAUnC0OrQUFX30pQ0aO5tknnzAtzn4NSlQ+FBUVsXDBfD764H1+/nEOrVq0YNeePXz+zQ+cPHmC7KysKu1jrVu1FI/PnoW2MJdJY0e6JTA4Mps7fPQEew8dZuiAfjRt1KBS9Zm/n47e/by8PC5cvMTFS5coKqoIPyqEIMhHRfvWLWkUE2pylLb3PjjThJsLG9b+CMVFRezasY3UlDsE+fnQtc9AqsXGkq/RWSzsjeFK7yTfYNu6lfQYMJjWzS1DzRrLJydd5eCWtQwfO5HYGrYCdE6JVlZQ2L13H2dPHadt5240at4KcOykbM7dCAmOFvpyc8qbf3mdsLAwHnvuZYf1O6rLXaECDJsg27Zu4eknnuDd9z9g5OjRxB8+zPyffmTj+nXk5eUpgsLvmPtKUDCaHl1KvsPmw6cIDwliTK8O+JanmneGI6Ehr7CIX3YepqxMy9CubajbrApsdd2YiIUQ3Lh1h/iTZ8jINqiAa8RE0adrR4ICA+wvxsyyORuxHlyLJW9OJJwl/tABtFot1WKr07NPP/zKzR7s2T0eOxJP/MED9O7fnyZNm8uWNTgsr6DPwKHUb9RYth5TU80GkJycHL7/9hseevhhi8hLcot5V7UC5y9c4POvvib+yFGiIqOY9eRT6PV6hBBoC/NIS0snLq4WtWvVoknjxhYCTaHwRKPRmJ6JOSdPnmDmI9PYdfiEW9os6wHzzp3bXLxynXYdOzksX1RUxEfvv8eKFctJS02lb7/+fPrZ54SFV7xP+aU6rl6+RK9Obe+JM3NaZjbLtuzB28uTcWNGExriwmLGkcAQGI5GU8aKTdtISc+kf/fONG8k79/iFk6EZ2vS0jOIT7zMzVu30Ov1hIaG0q9Ta9nFuaMgAHKOl8m3brN99z6KS0pQh4QwcNgoQkPVFs7z1oLC5aQbrN6yizbNG9O3a0fZZFZZWdn89PPPtGndml49utu0056gUFZWxpfzl9KnVUNaNrLS5piNG+4IZinpGfz3q+/Yc/Q0Xj6+PPHQREKCA9FpdZSUasjIziFMHUzdRk1p2qghfmY5bIQQFBUV4xcRa1NvQUEBdRo15fLZBAshyF1yc3M5fvIUvXp0dxhmtwgvvv/2G36cN48rly/Rrn0HPv7kU1o1tPSDunX7NvUaN7snUY+KiopYunwFJbmZjBg8gJrVbZ+LNc78a4QQbN6xm3MXL9G+tSFrt6Pn4KogLJcbxB4FackcP3yQS9euo9Pp8ffzpWendsQ1rphTLd45M8d7ewJFUUC0wTk5NZ39u3aQk52Nj68PgwYMJLZ6RZhPayEBICcrk82rlhERHUOfISNQqVQ2i/203ELWL1tEtchwBo2wH1XKWhsghGDxooWERUTRqWdFbiF7EY+skRMSigoL+frrL9m7YzuFhfmMmjCZeg0bUVxUhLckyM3JQaVS0bJZExo2aoRarbYw6ykuKsK/XMtjPQd1bt+Oz7/6isat3H+djb4fGo2Gwwf2075jJ/z8bSMrmt9z3do1fP6/Tzl54gT1GzTgX//3H3r3MfhcGU1vc7KziatZXREUfsfcl4KCkdSsXFbvPQL+QXRs2Zh2TRu6tJBzJDCUasrYdPgkd4q0qIMDGd6ri3ziIldwUVAwDo7WE3by7RR27dpJbn4hkWFqhvbsRFCAVcd0MMBeTctjw/ZdFJaW0bBRYzp26WY35KBxEAv0UrF/zy4SExJo2aYNXbr1kC1XUlzMqqULCQoJYcjIsbKTkT1twoXz59myeROzH3/CxjTEmaBgfV6n07Fy9Rqu37jBX//2D8aMGsljsx7l7OVrLF2yhMDAACRJItDPl9BQNUlJN7iRnMyN5GTiatcmKiqS68k3uXH9OgEBAbRr34G01FRq1a5F5y5duXPnDhs3rOfRWbN57oUX3Y6rHuitIj8/n2+++pKvvvgCSZJQh6oJCwsjNTWVaY9M58mnn8G33MY+/vBhHp/9KG3btuOFl16mcZMmNupx8zbci/Co5lGPCoqKWb5lD/mFRTRp3oJendrZt2V3pmkzvqt6PbsPH+PM+Uv4+foypE93qtsLN+wo1Kf5ORcFBet48VlZ2ezauoGU1DQC/P0ZOqCvKQuuPUHBfNGfkZnFus3bKCwqokZsLP17dSfArI/a27E9eeYse/YfonZkCKMG9rHZedX7qdHr9fyyfAV5eXlMnfKg6R2xRk5QSM/M4rtFK3hsynjCvWR2J63GDUfCghCCHQfiOXX2Ah9/N5+aMRH867Xnyc3L59uFy5E8vfDy8sLHxxt1cDDpmVncuHmLi1euUj0mhhqx1UjLzOTCpSt4enrSsUN78vLyCA0NpWf37hSXFLN5y1aaNW3KvO+/tdsOR5SVlbFg0WL+/e57CL1ACEGtWjVJTU1j2JDBvPbKS0RGGITBizdTeXT6NFQqFe/8/Z+0bdfONA7J5mCo4mRQ1uFRtVota9dv4M6dFGpEhjCwd0/8ZbKMO1vUW2u1TiQkcuDwEVQqFb27d6VJQ1vB3BVBwR3zTbl3sai4mN2Hj3H5dgaenp4M6NiS+nHlfgFWfVjOry6zWMvqteu5lZJGSGgo3Xv3IzTcsr8bcxSYCwl3biazb/smfP38GTRqvIXW3FxQOLBnJxfPJjJq4oOm0NuOnIiN9/BDy4IfvqF974HUrlehwXHV78D6/NkzCezbvYtfliwkIz2df3z4P7x9vFn84w8U5uUSEBCIykNFaEgIZRoN165d5cL586jVamrVjqOgsJAL586i0+lo1qIlKpUHKpWKHj264+/vz57du8nJyWHvgYOm8cad+UwIwY6tm3n/3/8gMyOD4uJi6tarT3Z2Fp06deLlV16lQcOGgMHh/onZszhzJoF//d9/6NW7j42J2r2cxxSqlvtGUJCL7w4GEyG9Xk98wnmOJRqcHLu2aUabJq6pXs0xFyA8I2LIys1j/e5D5BUUERWmZkjPTgTKDOB2qQIHTuNAmpaZzYY9h8nJL2BQ9w40qVvb4j56fzVl3kGcOp3AsRMnKNOUUS2uLp169pN1OrYmOzuLzevXUVhYQNcePU0aBHPyNTqEEOzZvpXr164weuJkm+RrYF+ToNfrWbJ4Eb4+voweaxtS1dEEZC85y7gHJpOamkbnTh3p3KkjY0aNxMPDw6nJUVFREVevXSMtPYOI6rWpHRdHXm4uhw4dJCIiktSUFI4ciScyMpKevXrRpm07h0KovQG3rCCHPr160L59B177yxvUqVuXc+fOcuL4cdJSU9mzezfHjh6hS9eu5ObmcuH8eT787ydMfGCS3Xvt3LOf0LAw6jdsdM8FBXPOXrnOnoTLaLU6mjWqT69O7SwFRFdM8qz6RHFJCRt37uN2ajpBgQEM6d2dqIgw1+uzUy/Y9i9rh37rXf6CwkI2bN3JnZRU2nbuStfOnW3yHwghSL6YyOG9uygoLCQsNJSRPdobtH4y9zZfiBUXF7Nuw0bSbl6nZbMm9OzaST56k5+aY8dPsHvvXsaOHk1c7QpnS7lFm6o4x2Ls2LhrH9dv3ubRSWMNQp0dgcql8Qf464dfsGj1Bkb070WzhvWZNHIwgebCkJ1dYI1GQ1LyTW7eukNYWCj1mrZCr9dz8NBhVB4e6LRa9uzbh6+vH927daVHt66uO1SbodPpGDpqDHq9nr+//RadO3bk2rUkDsXHc+v2bU4nnGH9xk20a2+w3z996iSPP/kUr/3lDRsh3PhOXLp0mbSMdLp16XLPBQVzbt2+zdbtOyguKiI2NpZBA/rbFRDlsOdnsHPfAS5evoqXlxf9enanbvlC3Zmg4I7ZpysRi8rKyti67xCXrt2gTkQQg5rVwcPDMIZ4xjUzacFv3rrFroNHycrKRPLypXPfgUREOs9dlFlYSvyenaTfvEa16jXoPWAwXl5eshGJbt24zobVK+jSoxfNW7c1nbNn+2+eX+h8wkmOHtjL6MnTCDQzHXMkJJjXYW46VKDRs2bFMv7y8gsMGTWW2nXqMnTMeKKiY5w6LOt0Om7dusX1pCTw8qVegwb4+Phy4tgR8nJzCQoO5sDePaAro2OnTvTo2YtAO/lM5DCf19567SUO7NnNy2/8lSHDR5KfmcLhg4dITr5B0rVrLF2ymAYNGxIaGsapkyfp07cvn37+hY2AYOTGnTSOHD7EoKHDFUHhd84fQlAwR6/Xs/9EIkcvJdO0QT0GtnVNy2BEm5Eia8aUkpHFlv1HKSopMdzXw4Nm9evQpkl9fH3sLMTd0Ci4Eq0EylXL+49wNfkOKpWESlKBbwB6Lz+Etz8tmzenabtOJs2Bsx2DxITTHNy/F3VoGIOHDicwyDaONBgGuLSUO6z+ZTE9+w2gkYwgAfaFBCEEX3z+GSNGjqJ27dpyl7ocxcg4Ien91PQfMowLFy5y+tgRQkPVgHs7YM7yStxtiLj/ffJfziQk8O0Pc+yWSUtNJT7+MP7+/nTo2IkgO99BWVkZ+/buYczIEXTq2o3l6zb/qoKCicBwzly4zI4D8cREhjNmUN8KTZWLWgU58vIL2Lz7AJk5OVBqCNtXv1Z1OjRvRHCg/GTjqF5HUb/kTIfMyx05eoxjx48jSRJ6z4p3RKUtpX79+nRr2ci06+ssOsv1GzfYsHETnl5ejBg2lNhgB1lqCwuZs3QtTZo0tknsZM+h31xQWLJ2E7WqV6NL21ZmlcqbZ9kTFKy1DC//6yM+m7eIg6vm07Z5E4d1yFFZZ3BX2bptO2++8zcO7d1t18wms1jL3j270el0dOrU2W6iKR9dCSdOnqJrL4MZSUle9q8qKJiTfPMmGzZuwsvbmwljx9gdF6xx5HOj0WjYvmc/N27eAkB4+VG9eiwd2rcnKjLSpeRa1uOpMx8Ze1w+e5otW3cihEClUuERGIIIjkSr8iaiei1aduhCaGiYxQId5J2Jr6eks2vjWjSaUvr3H2ATtts6ItHuNb/g6+fHkFGW2nBnCc7yNTqOHjpARloqg0eOsajfnnOyvQzf5nPL3B/n88JTj/HR13MYOnqcbB2Vwd3AGfa4cuM2vTq24ciZC1SLUMuW0WoNfSwvN4+27dtTs6b9IAlJ164xbdrDnDp+jGup2dSJrto+plC13FeCgnEBY9z5dxbKNPHiFbZt306talGM7NO1SqIMGdFqdZy5fI2T5y5TotEgSRL+vj60bFSPpnVr4xUa7bySyiATC13OaRnsCwk6nY5tmzeSfP06TVu0oEu3Hg6FqbxSLRtWLUdTWsrICfKRIsCxkDDn++/o3acv9eo7tkt3N1768RMn6dqrD08+NpuPP3jP7eRXjqiKmNKrV63ig/f+w47de13S7NhtS0EBvbp3xcfbh+KSYnx9fNm6P/63ERSMBIZzKyWNVZt3EBjgz4RhAyrCfTrxV3AFIQSXEk9zJOE8+eUOk95eXjStV5uWDevi7+frUshhR3HbneFuUihT0jgh2HvyHCdOnKJWrZoMGzLYtFtubyG3Y89+Eq/e5JGHHzLtwrmSo8FY3/o1qwkKDKB3Z8evg6tRaIyfq6S0lMDGnWkQV4tzO1fbredeCwT2uHTpMn0HDeHIwX3ERNuOu672d71ez4Pjx3Dm7FkaN2zEth07KMzOICA0okr7WJu2bcWuvfsdjknm5/Ly8li2chVlGg1jx4w2mVA5wh0H/Zu3bhF/5Ch3Mg3XqFQq6tVvQMtWrVCrLctav3OuCgd2TdzMxgl9VD0bh2Vw7Nh7+cJ5DuzZiYdfIH2GjCA2XC1bzigoXD6XyIl9Oxg1cTJR0ZbrB2dCAsCho8e4cvECI8c/YLeMMy2AXM4HgBphhp3+6+m5FnPs3WxWuerk7AyNRkPDenVYsWo1bWWSjbrD3995m7lzfqBX3/6sXv4L+46dpnu7loqg8DvmvhQU7GK9aCgfhJJupbB210H8fLwZ2rMTsVHOB9rKUKjy5/T5i5y9eIUyrWFgiggNZVCvrgRR4ryCSkQhMQoJUDHZ2BMQLl+8wMH9e9FoNPQfNITacXVky5mz/1A8Rw7uY9DwUdSoHSdbRm6ANQ5GeXl5zPn+O4YOG07DRo2c3q8yiZXiGjQmJTWVnIIi54XdxN3Y0tZkZWZSt3ZNVq9dT68+fZyWt8eKZcuY8cjDZOcXcuPGDQb168P5y1erPMa7sZ85ixZmIaQHhpOVk8uyDVvRanX069bJkEnZiQO+W5TXpfEO5uzlq5w+d4GiYkOf8vfzZVDPbkRHWtrdu5IB1hHOrpNbjN1OSWXbrr1kF5XRtUtn2rVtY1PG+rqrSTdYtWET3Tt1oH33PrL3tsa8Lfr8DL77aSHN42LpVUVCAlgu6l5/91M+/GYeJXeuWOzA/lbCgTW+waH85dVXeOetNyyOuyokgEGz17BeHU4eOUSjhg2JrlmbxJPHqVm3wT0RFFzBQpgoKWH5ylXk5OTSvl1bOnZoX2W5Jsyfk06n4+qVK5w6eZK8vFyEEPh5SvTq3p0GsQazQNO74UIfd9XETRseZ3cOMxcW8nJz2LdzO+lpqdRv2IguPfuQp9E7zG+Qm5PN5pVLia0Vx/BhwyzOuyIgCCFYu3I5kiTRe9ho2TKO5kE5rD/jiWNHGTGgNwdPJlKzVm2n17tKZaIUydG4fl0aNGzE2g0bTccqo61XB/rz13f+xmPPvcyYIQN46fU3mDRmhCIo/I5x3yD094qDxUdc9RiemTKG4pJS1u8+xJ2MLEICA+jTqTU17TlRuli3OQFAl4Y16NKwIoRmWmY2K1atRi/0TB8zBLB1pjYtulyI/mAPucQzQghOnzzBiWNHAKjfoCEPTHnYYmdbLvsjQE5ONj/9+CPNWrZm5lPP2b2vo8FRCMEXn/2P5198STaaUFWRkprKrMced+saV5KdgX21sb06rAfOixcNfjN1nWhSnNGxc2cA9u7Zw4H9++jWvYeTKyqPMyHBWMb8vQ1ThzP7wfEGbdW+w2zZcwA/X1+6NYujcZ1ad7+gKe8X3kDrpo1o3bRC6MwvKGTTrv3cTEnlqSefwJO7FxLcKXv5WhI79uxHp9NRLSaa0RMmuWQHrNFomLtwKRHhYTz7wssOo9PYa5eqOIf/fT+PKePHEBkRjnuu9hXPyVp4sdaS7Dx8nIb161ZaSLDnY1QVXLlylYCAADq0a2tx3B0hATCZIy1YuIgO7dtTq2ZNQq121O8V9nZ+zU3lfH19mTJ5EkIIjh0/wVfffIeHh4q2bdrQtk1rlzXmcpo1i+9Gghb1a9OifoWJqEajYdeWDSxfmsiTk0aiVhlyE8iNFZ4RMaa5TDaggJO5Te5ZZKSnsWfbFoqLi4kKD6V/376ER0SaCRDyb352cRnb1q6kuKiQUZOn4eOGv4c5yxYvpHXbdjQoj+znKEOyEWfzi/Xcsmv7VoAqFRKqioz0dMLCwunZq5fpmLP+7Ksvle2DNWvVYuOG9QwYPporly/SqIltPhiF3xd/DEHBxYW8n68P4wcZXvS8gkJ2HznFul0HEQJqV4+mV/tWBmdld3Y8ndhkR4WHMqV7KxKvJfPNvEXMHG67q+zQlMoO9iKy6HQ6Tp04zumTxxFC0KJlax6eMcvlRUhJSQmrl/9CfnEJU2bMtsmvYI6zwfHMmQR69e7jspBQ2YWEt7c3WZluOL7iXvZkVzFv/5p16/n4k0+5decO3/4wx6G9pivUqFGD2NhYZs14hODgEN75xz/cjsDkKp4RMW5rFIx4eHgwqFdXBvXqSmmphv3HTrJr1Q5ESQGR1WrQu0t7IisZRMweQYEBTBg+kJRCLR9+/g0vvvKaaWCr6lwbYBCAL1y8yL4DBynTaKhXPYrpD07Ey8vLpcg0er2e1Ru3cCP5Fg9NHEtodeeaPXvtKywsIjQkhMiISmgjHbTVejFXv04cy9asd3qdNebPtqqFhUOH4/ng4/9y6HA8r770AoMGDpC9r6uoVCrGjRnNh//9lEED+jNm1KhKOVdXBkcbEtbPzKPEoFFo364tOp2OEydPMWfej+h0OgICAunZoxu1a9lm9HZXaDYXHn2BoV1a069tUz78/CuefnA0IUG2Hdk0Lrjqn2c1j1knA92/ZxeZOXmERUQwftw4AhwI4NZ+AvEH9nHk6FF6DhxKzThDeGBrrYMr2gSAgoJ8k5DgyvXm84u9BbP1992yPLdDgJf0q2UlN7bD3nx49coVPv7oA9auWcOECRN54qmnAdfnamM588//yquv8ezTT/HN/z6ic9fuREbdIzNthSrjjyEoyOFkAR8cGMCIESNM/yfdvM2KvUcpLDKYMxgcAlsSprYT09tJ/dYLrWZ1aqLNzeSnFet5eOwwO1fJ42hiFkJw6eJFjh07Sn5eHmVComXrti4LB8aBrrS0lPVrVpGTncWY8RPxDLR/T/PrzLEebA4fPMj0mY86bcPdLh6++eIzlqxc7bzgPUSbl8mWg4c4eDieo8eOcy0piX/9/R2GDx1iWGzYmSxcQa/Xk5WZyebtO3nmyce5ePEScQ3v7S6MI6HVFY0DgI+PN327dqRv146AIWTnroNHSS8sRVVWTERoKF3atbIfGtUFzBe0Uf7wyKOz+fTzL3jxuWerbLJVFedw8/YdDh87QVp6Bnj707BhQx6e8qCFds6R2GYUEDZs38WFy1cYOWQgY4YNdmvRLddPNu/czYA+Pd34NOVtddNk6NVnn+DQ8ZNofYJxNKpU9h13BY1Gw9Hjx9m3/wCnE86wd99+3nrjdX6a871FZJXKtiE9LY1PvvyGgAB/1q7bwPPPPF1VTbdAhby5ryNhwXStlebHw8PDJDQA5Ofns2//ATZvMexOBwYG0qFdO2o0bIp5b5DL62FzLxl/Ah/g+RG9+Oi7+Tw/cSjBNWrb3egymsVa38P63TN+X8kp6Rw/eoTL15IAiImtTo9BwwgIDHJ5QZ9ToiUp8QTHDx+kUdtOTJld8R1WVki4evkSdc3Cn1pHLjLHnobZWliQczIeNHgwAQEBZGdlWeTMuRvc3UzS6XScPZvI3j17SDh9mq2bN/PE7Ec5c/xIhW9MJeZr4+fPzMjgwYemcuvWLb764nNeecM2QI3C7w+3BQVJkt4A/g18IYR4uvyYBLwDzAZCgcPAU0KIRLPrkoDaQE8hxF6z438DxgshKpfhrLLZRa2ui6sRS62GDwPlyc9u3mLbvv1kZuei1+sZ0b8XtaqXJwazEhKcLZz0OWkAtIiLpahEw+cLljF+aH9iwtQuN1ev13P9RjIJl65y6+ZNhDDECgeoX78Bw4aPICgoyO2BIS01lfVrVhp2goeOIDomxuWskEIIjh+J5+KF83gIQwp7SZKoUbMmAwcNRgjhVB1eFTuMgwYM4PGnn73reqxx9Vn+59//4ovP/kerli3o0a0bjzz8EAP69SXYKuOqvZ0lZ/z7n/9gxfJlPDT1YU6fOk3DJk3o3q4lJy9cdbuuqsCeNsERen814f5qxtWsSPyVmXyVQ8dPs2brLoQQdGrTgnYtXBOA7OVIiPKDCePG8t6HHzFhaD8a1K1jOmcP4/fioyvhTmoq5y9c5FpSEvrifFM/qxFbjZ5dOlns3OtdcE5XFedQUFjI0pVrKSoupn/vngwd0NfhNdbvyLmzZzlzLJ6SkmJTH/P39+fBSQ+QmpZObIx7O3LuCgl6PzVN23ZCq9Vy5cpVGjSQN6Nzx6/CXRYuXsJLr75O7dq16NWjB0MGDeT9//yb2GoVyRrvRkjZtnULE8eN5eNPPmXj5m20atWSISNHs3bFskrX6Qh7Y4EjU0aL8KPFObLfY1BQkEVm6/z8fA4cT2DLnv0IIahTty7D+joWLG2SoZVjnOd8vL14dsIQ/rtkA4M6taRTt64OhXLrdmZn53Dq4lWuXLlMaUmJqY/5B4fSrmMnOvTqb1GfKwv6QE9YtXIlmelpNGnVhrEznrQ4b89/wcitm8nEHzpIQX4egKlNkx6axoF9e3lgylTAvpAgtyPvyvtuoXnw9aVb9+7s3bOHUWPGOLjKtcSk7lCg0XP2xBEemToFP39/evbsRefOnfnLi8/SsIH7oeblyMhIp35cbT7/8muWL/uF+g0a8NfXX0aj0VRJ/Qr3DrcEBUmSOgOzgNNWp14FXgIeAS4AbwNbJUlqJITINytXArwHdK1sg20ws+u3OOYIO4sb8wGyTnggdYYbBly9Xs9Py9cSEhTI6EF9sR4SXTHVMNKpcRzN46qxNeEiGTl5pgExJkxNgcqLYgxhJoW3IU653ssPodcjqVRUq12Xxk2a0n/AQLvaAld2pQDOn01k/97dqEPDmDJthssReYK8PQy5FHbu4PzZRPr27sG0qVMsrt+9axdbt2yutD2oK5gPipdupRBpJ9xhZXHlGQZ6q9i0cQPv/ef/+OyTj5k1Y3qVtsFIRno6165e5dq1q6zcuJU69eozZsgAVv6y9J7c79civGZdRoSHmf5fv2Mv3y1czvSJBpMPe2GDHSVSA6hVsyYvPf8cu7duYPvufVDel6KjoykqKqKgsBAASZJMwjblv6Ojo2nSqBHdu3bBR1tY6c9m1EKs27wNDw8PJo4eToiV4GgsZ72QMi4iT506yZ5du2jeogXjxozC3ywL6qVLl/np54WofF2346qMgGAkLy+PvLx8wu3sdLqySKms6dH5CxeYMftxRg8bzOJFi+yWkzNzcJXk5GT0ej27du7kxwU/07VbN156/jkWLrl3fcxZe62fldzuvDOCgoJMpoAAR48d55PPPmfmI9NcDrdqxHyeC/Tz5Y2HR3Pk3BW+XrLGNB+FhwSj9wkgp0SHzstgcmrqZ+V9zF8dQeMmTRg4YqysWar1RpU9PzowODZvWb+G4qIiOvUbQlS16rLlrM2SjNxMvsHGtWuoW7smI4cNscgKnpOTw9xvvyAkJMQU/tkVAcGIo/dd7johBDeTbxLuQlSrqiYrM4OB/frg7e1NWlaO6XhVmgpeT0oCYOWKZbz51tuMGTeOn+bN5esvXYyyp/Cb4XLUI0mSQoDjGASFt4EzQoiny7UJt4HPhRD/Li/rB6QBLwshvik/lgSsxqB1mCKEWFF+/G+4oFFwOeqRq0maKqGJOHvpCmu27mJin47UrRnrsKwrgoNxZ1an05GWlYM6KBC/iFjZ0I5QubCeRoQQJN+4ztH4w2RlZtCocVO69+ptsxPkSJug1+s5snsbVy5dokefvnRs09Ju2QXzfyIurg7de9h3ur2bQcj8Wbz5l9fx8/PjrbffqXR9RuyFRJVTFZ9NTGTE0CH89S+v8sjDU11OjOTuQub06VOMGDqETbv2mxzd/vfR+yQmnGb9mlW/TXjUymryyrEXLjElPYP567bTo3NHOrZr4zRHAdjfXTVHKsomLT2DgAB/Avz9Ld57R9faW5jZuyb9+iUOHj1O8s3bVI+NYfhA1xIemtd36HA8e48cp2WLlvTsbeijcn1lz779XL12jUemPuS0flcwz09izfyfF7FqzRqWL5FfqLvzTrvT7zMyM+nZuy/jRg7jxSdnER4W6rLA406bUlNTGNivLx9+/F8GDDRsEG3csJ633vgLVy5fvud5FCoTureyFBYW8tOCn6lVqybDe3W2mQMcJf4E28SkgGk8yMzOQQoMIyi6pk2yQnMtijuabxvBIS+X08ePcuXSRYKCghkwbASBQcE2SdXkMAoL6Teusn3LZqrFxjJh3Bi7mu9rV6+ydMliXvvLGxbtdhbEAio3zk99cDLHTyU41MTbez+c3c/eM9doNDz8wFjCwyP4+z/+QVxcnMv3dPXeYDBvHjNyBAMGDuSFl14GICkpiU7t2lBaWqpEPfod445G4VtgmRBihyRJ5oZldYAYYIvxgBCiWJKkPRg0B9+YlU0GPgP+I0nSGiGE857tDu5kcpXTRDihaYN6NKlfl1/Wb2H7oeNMGz0Ib2OiKSvMzTPsRjkqF2w8PDyoFhlumxDpLkMP5uRks2PrFvJyc1CpVNSoWZu+AwaiVoe6VU9pSQmb1q6iJD+Hvv0H0n/QEKfOwA9Nffhumg64vgN57OgRpk2fcVf3cpaYxqipMR5PSDjNhDGjee+DD3lo/CjZOoUQnE44w5WrVxk7ehRv/e3vrF6zjq+//8GUJdYVWrZsRZ06dYg/dNAkKBw5fIihI0axfs0qNz5lFXGXQgLYT1IWVVvNS0/VZ8ee/Xz69Q9MHz0QdXCQRRmw7RuOhAVVcQ5IEtFR8lond3dpLYT3khK2rl/D7ZQUVCoVkRHhdG7fltFDB9mvQI7CLNZt3sa1O5l0aN+OV55+3Onk27N7N3p27+befRzgaLw5cvQoDe4ycpcRV/t1aloaw0eOYsLo4fzzjVdMx62/6ytXr3Hg4CEmPzCB+QsX8e4HH/Kff/6DsaMr+qWzZxkdHUO/fv3ZtnWrSVCIP3yY/gMGcuXyZTc/ofvIhd69F6FnVcU5BKngqYcnknD2PB989jUPjBlB7Zo1HF9otgln479kFqkv1E5OH3Aevtse/h6wY/durly8iEolERgUTMu27ejaq6+FkKP29XQqLBw9dIDE0ydp0rABMx9/kmAnJkl16tY1CQngnomRu6amR+PjqVOn7j0REkDe2qC0tJTHHnmIgIBAPv36e9T+8psayRm5bN++jUGDBpOQkMBzTz3BtBkzef7Fl5ze14iPjw/jxo9nxfLlJkHhaHw87Tt0ZP++vU6urjokSaoPPA28KIS4NxFB/mC4JChIkjQLqA9MlTltHDVSrY6nAnJ6wP8Aj5b/fO3kvrMxaCCoFVvNUdG7w43kUJIkMXH4IDKysvly0VKaN6hD/y7tHFZvb2CVq9/dsKjW5GRns2nrdlJTUwhRh9Jv4CBCQw3mHY52yO1x83oSG1YvZ/r0GYSFR9jUcy9wFinF/PzZxESuXL7CkKHuOYgbcWfSMn7unOxsJk+cwL/+713GT5wo69x16dJlnnv5Ffbs3YdWq+XF557B19ePS5cv8/O8OW4JCgA3rt8g4Vg84yZOAsDH14cIta0pS2Ww6GfVKu9YfDdYv/d9e3aja8f2zF+6HLWPignD7Jvbgf1FrrtCgL16zespzUph94FDXEpOxU+lY1C/3owaOrDS98jJzePLH35k4pgRDB/b2uZ8Vewwy2WkdpXc3FxWrVnLxrWr7rod5u1x1BadTsdDU6cypH9f/vGXl2XLZGRm8vqbf2Xzlq2kZ2Tw8af/49WXXuD69Ru89+FHFoKCK1y/nkR2drbpf29vbzxcjBbnDPM+VtPZorwKcOW9b9G0Mc0aN2TpqnVs2neEqQ9Oxl+U2DX5k9XYmwkJ9kISVwatVsvxo/EkJpxGkiRaduxGp249yS3VOfQ3MD9nkY25rIx1C+fQql0Hnn76GUPTq2AeqyrtjxCCefPm8dhTVe9r54h/vPU6Hp4efPXDT7IRvkpLS/ng3f/w3XffkpuTA8Dipcu4lpTE397+Ky8//Tha7wCb6+xRUFBgIRR4+3gTKBM96y6xayYjhKA6vngg8eY3n9iP+17Brxd+6neMU0FBkqRGwP8BPYQQjrxOrL8cSeYYQohsSZL+A7wjSdJ8R/cWQnyLQZNB+5ZNhVumRdbY2wV1Vp/5ebM6IsJCef7Jxzh6OpH3F6xhYM+uFrHdnWG+MDIOytaLpdMJCTz+9LPs27kdjad8iNHS0lKOHT3KubOJFJfpCFGH0r1nL5uQY/Z2yK0xt8Hcv2cXN65fZ9YzLxLsU/UBsqwXC+5OMDnZ2Tzz1BM89fxLePoHu51J2ZGQ4Chk3Kef/Jc+ffsahAQ7vP/xf9mxcxdTpzxI/JGjZGZl880X/+Cvb7wOgLvTizpUTeu2bU1tup18g9pxtZ1c5RoW/axZI+e2iJXQxsnhKLOvqjgHX18fZj38IEk3bvLhvKW0bdmC3t27QECY3evMcWWxdDsllQmPPMayH78lOq6hbBlRkMmJxHMcP5VAqUaDn68vPbt1ZnC/3k7rd8bZC5fYuG0HL7z8Kj5WoYirahFyN0KCTqfj6edeYPCggTRr+uvEO1cV57B0xRpKSkr5++sv2nWUXbzkFxYsXESnDh3o3q0rZ8+dZ9LECUyaOMHke+LOmBIWFk5ts6SSN27coEvXqnGnM+9jbdq2telj1t+RvXfamYBl4fDsStZkfzWTxo4kOyeX7+fMIza2GiP7dMHbTFiwmKusLneW3BAMc9SkCeN57S9v0LlLF9m5RwjBtSuXORp/mKKiQsqEROv2HRn38KM2WgNXMZbNTE/nlwXzmPTwDEKrKJqQM9ydyz58/z0ARowZd8/vZeTCubOsX7OK3fEnTOaR1vNe/OHDfPjB+/j5+fHMc8/zzVdf0qtTO0rystHr9ahUKjzd8A3y9PKibbuKjdXk5GTiXEj8WlX0VUUSihcdUfPGY08zYsQIqlW7h5vQfxBc6XVdgAjgjFmH9QB6SpL0ONCs/FgMBtMiI1HYahmMfEa56sfdBrstLLi5oLFIJGWNzAKpfctmtGvRlL3xx/ls7kJCQ4IZ1q8nIdVs41jbw55zpq9vOsOGDDHtpAohSE5O5sSxY2RkpCOEwNvbm3btOzBh6gzZHVdHC2Z7woJer2fxgp+oHRfH5KnTHNZ3Nw6ERip77ZrVqwzXl5Zw7uwZmjStcHOpihwD9oSF6OgYbt26Zfq/ROWDKMzhux/mEh4expTJk/jyf58w85FpfPvjfFq3aslH7/0HoFIhO4UQaDQaPD08GDV8GIcOHkCj0VC/gfzC9lfBzs6iq9jzw7E+pirOIa5WDV5++nESzp7nqzk/4RWoZvDAAVSPjb3rEKj+fn5079yBwEiD8lMIQXpGBsePn+BGsmE489CV0qJJYx6eNN7k1GiNPWFf7jMZ2bBqGfkFhbzw8muVaruzuPju2r3L+SicOHmK7Tt38fd3/sqWrdsYOKB/pdoqh9yi19iGatFRFJeU2Ixpi1es4WrSdV5/86889cRj9OvbmznzfuLylSusWrbU9D6UergeSMHYhqz0NMLVQfzf397i/Q8/xtPTk6cevTcBCsw/u6uO4HLXmmN8dvaiFtkQGG4qG6pW8/STj5N88yZzl61DV5xP357daVivjoVw4Ei4t/c5vL29adO2DbHVKwwM9CUFHDp6nCuXLpoiDNWt14Dho8ag83L9u5Nzcjb3aUg4cYyTx44w65kX8PT0NJW/W21CZTIS26OgoIB///MffP7dHH784Vumz3r8V0m2Fh4RgaZUg6eH5TJw3969bFi/jrf/9nd69OzJ6bPnWbp4EQf37mHTutWEhqoBbPqmK6ZWKXfu4Ovjy5rVq3h4yoP4+/vz7gcfVunnskdaWhoJ5DGSGLxQ0ZFQusfW54qofNCKPwtOnZklSVID1rrSucAlDJqGRAzOzJ8JIf6v/BpfDM7Mr1g5M38uhPiw/P9pGASG+UAvp87MLZuKw2sWGv6pKodlmXpcSn4mU69xAM3Mymbrrr3k5ecjSRJ6s8gPkqbIVN7L0xMvby/KNGVotRUqUpV/MJ4enpSUlph2xbRSRUeOrV6dtm3bERlVYSKSnlvI8SOH6dqjF0cOH2T3ju1MeXg6Deu6JqxYJ7lZvmQhYydOonoNyyRhrthnVnUcdUdOYk8+Ppslixah0+lYvHIt3XvZJrO7W+Q+c2ZGBj27daFtu/bM+fEnvLy8+Oarr3jtlZd4YMJ4fvzhO5cWaa4+KyEEzRs3JC0tjYDAQH5etISAAH9at2mLOtD/t3FmtsaNMKmmv13MnmytGSguLmHzgWOkpqVZRi4CQ2QVSUJVVoyHSoWPrw/aMi1lZWWG04CnhweeXp5oSjXoy681hh0VQhARHka7Vi2oVaO6hSCyecdu+vfqTtL5M/ywZBVTRg+lRWP50IGOBKG8vDzm/PgTPbt3p22b1vIPygmuvDvuahDkBIX/ff4l73/0MRmZmbz0/LP8+x9/d9gee86errbP1Aa9np7DxiFJEr/M+4aYqEgOHz1Bj2FjqVO7FucSTsne39n9HL1rg4aP5MjRo4DEt19+TmRkJL16dMc3OLRK+1ibtm3Frr37XWqTqxGRZDUJVg7IsnOamekQVHz3Op2OXXv2cvXaNVNR875g7HOSJOHv50exXkJbVmZa9Ht4eODp5YVWq0Wv01mE85YkicCgIFq2bEW1uPoWC84t27dTt0V7SktLmPf5x3TvN4i+vSuyARtxFjJVq9Xy44/ziK5WnV79K8wCHQkKrjok3+14bs3uXbt4YMI4SoqLqR1Xh/3HE+z2n6qYb83n+1eee5oD+/bwzdz5NG/Zivy8PJrEGQK13LidYhHi293klXK88fprLPp5AYWFhbz19js0b9GCHj17ERkaUpV9THZR20AKoB4BxFERPW476Xy0ehEjR460V5dieoQLGgUhRA6QY35MkqRCIEsIcab8/0+ANyVJOg9cBN4CCoCFDqqejyGk6gzgivtNx3Jx4sIOp43tpYx2wtFgKlefxf9+akKrq5k4xbkqTZubhqasDK+QKDw9PU2LFK1Wi1arxdfX12JgluuAe3bvZuSwIYSFh5syE//7g4/59MP3aNSgHg3ruhYNJdBbRV6Jlg1rVlFUVMRTz7/kUrK2ex2dA2xV8ubPoX37DixcsACAvbt33RNBQY6EhNMEBQVz4vgxysrK8PLyYtr06Xzz1ReoI6Jsvqu7zUgrSRKJFy5RXFxsiIBzD8POVhWumNYZHTbtPRtrAUFVlIPeX42fny+j+zl34tVqtZSUluLt5YWXl5epj+l0OsrKtPj4eNu85xbjQ3Eut1PTqNV5EDVjY0i+bdhEWPrVh3z4zTx0Oh0fvFmhFHUWthUMkYpOn07gsUdnOs1YfjemeZV53+Q0O02bNiGjfGxJOJNoEqjudkPAXvuMIUDPnLtAeFgoG7ftpKioGIAObVsxuF9v8ostn4mvvtTl52S9MDd/xpvXraGsrIzS0lICHWQArirsJeOy/t5d2ak1D51qmueM81ZBpt3cJ3ZNh1TQrd8gnPUyvV5PUVERXuV9zNifDH2sDE9PT5Ptuz0tr16vp1ZEMDVrx5F8PQmA/3z9E4u++4KzJ4+ZBAVXE6RdunCezRvW8cCUqS5n/XXkkGxNVW+GVa9enZJiwzteUJBPUWEhgd62oWtd6dNygrq1Ztz496Wkm6hUEtevXSU3x+CbExQczIsvvcx3335DiBf4mL17VZFZ/f/efY9//vv/KCwstMkzdC8ZKkWjBwshAaArYcwYNZ6ruRm/anvuN1wOj2pxkSTtojw8avn/xoRrj2GZcO2M2TVJmGkUyo8NATYAiS5rFOz4DDjDXjhGEy6aUriyGLgXyA1OGo2G/332Of965y0AflyynFHDhrhXb0kJq1etJDMzk+59B1K3nnxkk7vZgbmXfPTxJ/zzbUNUiptZBVVat9xn3rhhPc8+9RTvvv8Bo8aMkXUAk+NeaV7uqUbBVY2czMLDHeT6jzu21ncTAMBZ3UIIFq5cz1sffk7ynVS++duLzHj4IRuTJ0fjgk6nY+PmzVy9mkSnjh3o1NE1R/bKviNVLcD/snwFs598muLiYvIyUvH29rbbNlc0Cs7ad+HiRXr27c/br7zAjCkPEBBQMbnLmbq4uxPsTINlXUdV9zGjRsGVMUGujKs+CqZjVu+4I62e3GL+bs1g5Oq0Dnm6fedOvv7gX5w5fpQnXvsrEx+Zja+f4Xs3+hrYExSM7du19wAnjh0lrm5d+g8aYtcs0ZXQpo64F3Pc4UOHePGF50lMOE386fPE1qhR6RCs9gQy8/pyc3Pp1rkjo0aPYdbTzxMRGeXwfq6aMToq5+i5VXEfs1jUFhQUEBcUxhCiCJDZG79AAeloOCPy5OpSNApUUlD4LaiUoGDmUyC3w+kMd+yN7zXWncxZOE9zDuzfz8oVy2nYsCHduvegfoMGHNi/j0sXLyJJEqNGj7EwZXJ1svg9CAoFGj1PzZpO6zbtmPXk01VWr72EOD27deHpZ5/jgUmT3a7zbnaH7ZX/TQUFGe42apc5Tm2tHZgAul2/vXs4wuz+l9Py+OCzr2jRtDFNW7ene9cuHDt+ghMnT1JWpmXQgP7Ur1/Preor05fulZbvw/9+woWLl/juqy8A+21zFATA1bbNfOwJoqMiefcNM22N1XjrioO2O4KEo755LwSFQ7t3uNUmd7EWGKyjd9kTEKwX8M4W584wn0vM67YOY5pWaIiTEhVgGZ7TXEgoyM/nP/94m4YN6lM9tjqjxozh4oULHDp4gKKiYjp07EDjVs6/JotsyJV8xvYW6HcjVK1Zv4n3//13Nu0ymKU5a6czYd0aY32++lI++exztu7czbKVq2UFKmf3c8X8yh0TrXspKLSUggnFiybIJxgUCNaTxi8HdtClSxfr04qggJuZme87HGgFKrtLaW/CkuNemuZYx/V3RHZ2Ft99Y4hEO3zESAYMHEjXbt3p1buP7CBh7eRs7x53G7WoqqhZqzY52VlVVp/15y0qKmLRzws4fPgwCadPM2r0mErVK7cQcPbMzM0T5Or4o+KyQ+Zd4Mo4IItMSOPCohR+WLAYgDatWzP94Ydo26YNj86Y7pIZnzm/F02CObVq1uTQ4Xin5SorJOh0On5ZvoKLly7z86LFWCcks84r4MpnrWyZX6OvyWkG5EyQrNvoqvmHvY0sZwKCcQFvXKAbj1sLDO74olgjl+vAKCBYRzUyv2+Ztowff/gOgICAANLT02jYsBGTpzxkk9TQ2UZaVSX7tL7X3QgLNWvVMoUgrQphxhohBDt3bOdIfDz/+fe/eP/Dj5AkSfa7dOZsb+/ddAV380vcDWOlamSioQv2c0dJSPQgjFFde3OzNN+lBJl/Nu4/QcFJ1CO5yV/WLEDGFMnZbqQ7QoL1eUeOe47u4eg+1oOJebmysjL279tr0hqs3bCJDh07umzf7upg91svXAO9VaSnptKkeYXlmr8nnDp5gtu3b3M7NcMmcpO9euRIunaNkcOH0rJlK5o2a8ann31eJT4C9uyT5cqYk5uSzIr1m1m/bi0nT5y863Y4xJUwqG6GSnWUadmmTCUEBKMfQ6VwECfeGr2/GiEEx06e5siJNQgvP1YsWUS3rl0ICQmp1O2d9SVHi7N77S+UlpZOWFiYyUcB4Py5c1y/nsSVK1eY/djjsmZ4rrQrLy+PkWPHo/LwoFePHvzfP/9O8zjbkIXOkpC5mjPDkV8MGDIXr1m3nm07dvLzosUu1VlVyI0Hd+Pz5OidMhcSnCUqy9foXPYRMMdeZD051L6esvdIuX6FvXt2o9VqmfvjfLp270Z0tINgI7hm+mZP6+KIu9HsO6JAoyctLZXQsDACvCo271KTLnHhwkWuJSUxauQIYqKjZdth3Qbrdun1eh6b9Rgnjh1j1OjRvPHWXxkzdpyNkGP+GdyNxiV3zt57qtVq2bplMzu2b2fO9985vU9lKCsrYz9Z9CYCyYliIAQv6uBPd59o4kW2w7J/Ru4b06OasTHis3/8hX7dOuKvK3LJ7OCuFg3WdTsIA+eqLZ55OXuTmqvCyJ07tzlx/DgeHh6EB/oSFBjEjeRkbt++jVZlcCrr1r0HDRtV5HY4efIEc7//nvc/+tgmZvv9SmFhIdWjDRl3Q9Rq6tSpQ2FBIZIkoQ5VE3/4MP0GDmbA4KE89Iht9mZ7A3tpqeG7enjKZDp17sKLL78iW85ViouLOXzooCn6jq+kp0O7dqjVIRRL3ty6dYsP33uXhITTjB47jk8+/ACAt9/8C3Xi4ridksLVa9eYO+8n+vTrT/UaNfjvRx8CVKlZRN0a1cThJV8SFmLm2OVIELDyU3DU39zavXdFSHDQLkemhnYFE6v7Zuu8OHwygbIyLcGBAQQFBpBRrOXKteuGejx9adO6Ne3btTVpDVJSU3n77//kr2+8Ts0a8om1XBUI7FGVu6OuEhAagU6nIzAwkNjY6gQFB5Fy5w5NmjZl29attO/Qgf4DBvLSK6+aQsi6okXQaDT83/sfkJR0nZ/mfI8kSTZhPl0dw3U6HYeOHie/oCLcYctmTYiNMSyuMrOy+WbeApauWse4cePYsnUbh48c4Y3XXqVH927cvHmL23du88O8H2nauDF9evfitTfegiruY7Vq1RKbtm2nXjX5TOF3G9HK1ffLWotgjqN8BeaLeXfy1cjdr6S4iBtnT5GXl0tUaAhRYSGUlJRy4fw5dDoder2eevXr06NnL9N7pdVqee3ll5g4aTKdOnd2en8jrsy/4N5mnbu5e+xRoNEzc+okNq9fh4+PD9ExMdSpXYvExLO0atmS7Tt3EhUZyQMTxvPSX95CHWp/h9y8XUIIigoL2bZ5I1999gnbduw0bXSZfy+uCoFCCM6cPkV6WprpWJMGdWnQsCEFGj0F+fns2LSWTz/+mP4DB3In+TorVq1m1szpTBw/jhs3ksnIzGTJL8tQeXoxYuQo3vlrlfcxAdBZCkWHoB1qly7SIVhDCn2IYLEwhT9XTI+4jwSF9i2bisVffMDuQ0cpLinFw0OFEIKQoEDC1Gr8fH3wCQnH29sbUW6iptcLioqKyC8oJC+/AG9vL8LUIYSq1ahDggkJDiIwIMChaYAQgiLJl/yCAvLzCygqKqSwsIiS0lLCQtVUq1aN8LAwt80L3BEUhBBcuniRI0fiKS4yhFiNqVaNNm3b4q0rJT8/n/z8AmrUqE5stWp2Y4hfv36duT98z1/efOsPIygIITh08CCNygWixMREVCoVXbt1M6hVCwqoEWPwv0jOzLcwtcpKucnf/voWt2/foqCgALU6lKysLAIDA0g8c4bCwkLatG3Lhs1bnUaoEUKQlZlJTk4OWVlZ3Llzm5Q7d/jhu+9ISU1BU1pKq9atTdFUSkpKOX82kfFjx7Bx6zYKCwoZOHgQvXr34eiRI+h1Ovr36s68n+ZTUlpKrZo1ia1WjYnjx1KveRvTfavafrpVo3ri1ZmTyMrNx9PDMHn4hYQRGRGGn48Pfr6++HhXRBASRTkUl2jI03lQUGhYoKmjqxMaqiY0JBi1p57gwAA8PBxPRKWlGvILC8kvLKKwqJjCzBSKSkoJCvAjNjKcqLBQPD2t6nAj4ICjRafxXPLtFA4cO0lWjsGpTR0cRKc2LfDx9iZX50F+fj5qdQh1mrSy29/z8/N5/+P/8visR6keG2txzpUFoLtCgpF7LSycOHmKqKhIAvwDOJeUTFpaGv36D8DT0xOtVkv/Pr04eeIEScm3iAmpcD7Oy8vjjbff4fyFi+Tl5REcHEx+fj7eXt5cS0oiJzeXiPBw9uzYSq2aNWWd2M2/s5zcPLKyc8jOyeF2SirZObl899NCLl65SklpKQ3r1SUmyrAA1+l0HD99hjHDBnP89BmuXLtO984deGDMSE6ev0xefj49unVjy7btXL16lbp16xIVGcnQIYPp2b0i3k9Vh0dt2aq1eP2NN7h965YhKpDQ4uXlRUxUFH7+/qj8gvDx9UGlUpnCimpKSykoKCAvLw9tmRZ1qJrokEBCQ0MJCQ4mODgInY/jSE3ZhaUUFORTWFBAUWEhGbn5FBcXo8GDiOhqhEdGERns77AOd4UEsFyQZmdlcTz+IEnJNwEICwqkRZt2xEaGI0oLKSjIx8vLm0aNG9sNFCGE4KMP3qdf//60adtOtowRVzX5RtwREqqay5cuIYSgWmwst27e5Oq5BAb270dAQABCCN794CP+/q9/s/fgIVq0aGm6TqvV8sF773Jg/35ycrLx9/enRFOGXmd43qkpd1B5eLBk5Trad7IUrOR8UooKC8nKyiQ3J4fUlBTy8nJYtewXjsYfRqMpJSIyitp16uGhMswB5xIT6Ni5K7k5ORw9cpgWLVsx7ZFHuHH9Onfu3KZD65ZcvXqVPXv3U69eXcLDwujcozcjR482zcdV7aMwWarOdjIYRQwebqz10yjlMDkk6wqNY7wiKHAfCQrtWrcUh7assdkdzMsvIDMnlyLJh5KSEkpLNaaXT5LA39+f4KBAggIDKSsrIysnl+ycHLKyc8gvKKSgoACB5dtg/UR8gsIICgokMDCQAH9//P398PX1JSsrm9Tkq2RmZiHAlDPBFMtdpSImOorIiEjCw8OJCA8jODjYYtfMHL2fGr1eT1p6OqdPJ5B0/TqSJKHBg/oNGtK+QwcCAirSpVd1POc/Kju2b+PhKVM4mniRwKAgvv/qCz796D0KCwp4+dXX6N6jJ/4B/qSnpREVHU1ebh5169XFy9OL4JAQWVMj4+R36cJ5li76mRVLFlJSWkpoaChhYWHEVKtGgH8Aj8yYSbNmzfDx9bURNhLPnGHjhvX07dePNm3b2Y3S4UhjVeXOzC2bisMLP6s4EBhOUXEx6ZnZFJeWUlKqoaTUsj3+vr6GPlYenSYrJ5esnDyycnPJLygkv6AQXVE+Nh/PJxCBYSHk4+1NcGAAgQEBBEgaAvx88fPxIb+oiDtpmaRl5aDTVSyijZsBkm8gkWGhREWEExGqJiJMTUi1Wk6F/+ycXBLPX+BCYgJ6vR4hoEa1aLq1b02Y2tJ0yFGSKSNyOQisccUMxB6VzUsgd/+qtM82knTtGh3bteHQ3l00bdKEdRs28OKrr5OcfJMZjzzMxPHjCQ4KIjMri5DgYMq0ZYSFhlItJgapOBe1uQbLDFVRDjfzSlm4bCVzfl7CnZQ0IsJDCVWriY2OxtfPh4mjR9C7Wxd8tUUElr+Dxu/s1p0U5i9ZTpuWzRnQu4fpvXAnGMW9zKNgRFWST2paGrmleopLihFF+ZRKFcn9vH28CQ4KJigoCE9PT3Jyc8nOyiQ7O5v8vHxy83LRabWG0LXaihnMp3xdL4RAJ3kSFBREQGAQ/gH+CC9f/Pz8KS0tIT01lfTUFLTaMpv2CiGIDg8jMjqa8PAIwsLDqREdgaenp0On1/z8fC5dvMCxkwmUlWkoLtOhDg2jbcfOxMRWJF8L8vao8gRj7goI8NsKCY4wfpb0Qg1dO3Xgnb/9g/ETJxJ//BTPPTGLc4ln6N1vALOffAZ1aCiFhQWoVCq8vQ2bjE2btyA/L9ciVKy1gJCfl8umtatY+tNcLl88jzo0jOAQNZHR0QQEBNKxW08GjxiNj68PAYFBFnOVSlPMzz/OJTomhkHDRpjmS3e+06qcx4QQopbKn3aEEIP7ZsL7ySIcL3aJTHAiKEiS9BSGaJ9x5YcSgX8JIdY7uKYF8DnQEcgCvgH+KX7Hi/H7TlBwhDv+Bq7gLGyjs+t0Oh0pqalkZGSSkZlJZmYmefn5psQzqjJD7GSTgIEhZn5kRAQtmjenTlxt2Zjlri4InPFncpB95cUXWLN2Dd179mb5kkUcO3mauvXq2V2cO1u4lZWV8fKzT7Jn53bGTpjElGnTqVu/IvnWvZz47rmgsMZR+hM3cGY+ZM90qPw6Y/JDsJ8AUQSEkZ6ZTVpmFhnZOWRkZpNdokVfvhMrvPwwSijG/gYQEhxMi7hqNK4X51DbYU9IcGccMMeZjbMc9yJLa2WEBWfhO7/7YQ5vvvM3Jo4fx/dz5rF52c/07t4F4e/YTEI2o3A5//rft3w6dyGjhgzi0amTaN/GUpvjyJytqqLW/RqCgsX9KuEg6ug9Mr4/1mWsF4tyBHl7IIQgNzeHjLQ0srIyKcrNIisrC6msxLApBljvApThQWBQELG169GkWXN8fHxk7+eKkOBuyFZnCRvlcGby605/udtgBI6u37tnD5MmjGP4qLEsWTiff73/EVOnP+pUYwu237fRBGzL6uX89+9/oX3nLkyY8ghdeva2m4HeFeTMmJx9x1U5j/WVIkQqpfTA/ah9ABr0rCGFoUTzk0h2JiiMAjQYEhCrgGnAq0A7IcRpmfLBGHKN7QH+ATQC5gF/E0J8VKkG/wrcf87MdrCeMKrCP8FV5zi71/mpqR4ba2OCYF7GlQnrXpgVWCf0gT+2wPDuBx+yd98+li9ZBECt2rVlhQRHE27KnTv8/OMc1q1agV7oqV69JvuPJeBvpuWxrsfRAOlKvGsjVbEb/KtxN1GKZIQE4/9ywoJUmEVURDhREWGmY46yIruTn8EelR0X7mdcCXs4a+YMDh85yvdz5gEQFqY2ZKR34IRs/Szz8gv4afla5q9Yi0ajpVhTxqm9W03mRKbrXPju7Jmb/dqhre8FrjoIu1tWbpEnSRJqdShqtUHgMw+zaQ+5vAyVWUDaa7tcdKGqGhurIpng3dTh6PoePXvyyhtv87c3XwMgMCjYLSEhp0SLtqyM7etXsXbJArKzMslMS+Wzn1fSoGlzh74p5r4ljsrJ+TzcTZQsd5AkKTIML0bi2NndEd6o6ICa/TiPpCiEWG116E1Jkp4AugA2ggIwBfAHpgkhioEzkiQ1AV6UJOnj36tW4Q8jKJhHMbKOaFSVsd3dwZ4wYLFYcRLJw13udoC62zp+r6zdsMmQXG7Tdl59/mn+9a9/8+Lrb9oMstnZWdy5fZumzSqiKAkhWPLzfP71zluMHDOWDz/7CqHX06J1G6e+Hu5M0s6uCfRW/XG+G2ttgplwYS0kmB+3p1kwx7zfO7RHdpKEUdaf4S6EhF/zu3MWprGykXMcZdG+dj2Z1WvWsmHpT3wz72fe++RLvv3kPfwjqluU1Wg0HDtxgi6dOlkc33nwCFOfe4MeHdvy71efJTDAn4bNW9uYJbkr4FVm0+i37GdVdW9HEYdc0SbYw/hu2XuHzNvvqA2VFRLkcPQum2ettnfeui5XE4w5ao+736MrTuilpaV88elH/N8nX3LtyiXmfPs13Xv2JqaaZZQwIQSHDuyjc9fuFJRVPMcbVy/z2uyphEdGMeahGcTWrEV4VDRRMYbNTGfRr4y4KjTIfQa4pwLDxFaqIMJVd7e0bUYgp7V5SJL0IvCg2alvhRDfyl0jSZIHMAEIBA7YqboLsLdcSDCyGfgnBvOla3fV8HvEH0ZQMCI3+Ve1SZI1ziYic4FBNnNmFQgL7ibwcuX8H2VRWqDR8/3XX/DCq3+hXcdOLFyxlmcfn0nvzu1o0649N5KSSE6+TnR0DKdPngDgr//4P/z8/fDx8WXJzz+Rm5PDyg1baNCosanefI2Oyj4hvV7PyePHqFu/vmmnzpXPYc693p25Z1RCSHCInRCtrvb7ezEmuNqf7ZmFmONqbHbrOlwRFqDymVbBUnD6as6PzJr2IP179aBbxw48+/rbNOncl149e5CRmcmly5cJCgwkNy+PW7du885rL6AODiYkJJh1m7dx6Mhx5nz4Dwb2NCQ9cuR4bvlBbTOEGzl59gLREWFExxnq+iNoE0B+AS73XbsTntQdzIUFZ1RmnHLHZ8fVvBKuhiM31lkVmgW4u3nU+jksXbqUhk2bM2bSFIQQfP3Jh/Tr1oEu3Xug1+m5eOE8Qq/H19eXC+fPMWnaTOrUb4A6NIz4+MNsXbOCx156g7FTbSMAVpaEcxcI8fOiZu06dk155T7XPZq/PHyomnp9JBUIfhZCfOyoXLnPwUHAFygAxgghEuwUjwFuWh1LNTv3uxQU7hsfBUmSjv7WbQAigIzfuhG/A5TnYOD38BwyhBCDq6oypZ/9blCegYHfw3NQ+tgfF+U5/D6eQZX0MUmSnh2sivi0mUo+C7M7rNClcE0UxwghUh2VkyTJG6gFqIFxwCygtxDijEzZLUCyEGKm2bHaQBLQRQhx6K4bfg+4bzQKVelMVlkkSTr6e2jHb43yHAz8EZ/D7+Hz/BGfq7soz8DAH/E5/B4+zx/xuVYG5Tkoz+BuEUJogMvl/x6VJKkD8AIwU6Z4Ctg4UESV/3YokPyW3Ke2CwoKCgoKCgoKCgq/K1Rg1yr5INBDkiTzuK0DgNsYtAq/SxRBQUFBQUFBQUFBQcENJEl6V5KkHpIkxUmS1EKSpP8AvYGfy8//R5Kk7WaXLASKgHmSJDWXJGks8Drwu414BPeR6dHvBFlv9z8hynMwoDyHe4PyXJVnYER5DvcG5bkaUJ6D8gzuhhhgQfnvXAwhUYcIITaXn68G1DMWFkLkSpI0APgCOApkAx8BDh2mf2vuG2dmBQUFBQUFBQUFBTl+C2fmPwOK6ZGCgoKCgoKCgoKCgg2KoKCgoKCgoKCgoKCgYIPio6CgoKCgoKCgoHDfE+zpQbTX3S9tvUskqHwC8z8UikZBQUFBQUFBQUFBQcEGRVBQUFBQUFBQUFBQULBBERQUFBQUFBQUFBQUFGxQBAUFBQUFBQUFBQUFBRsUQUFBQUFBQUFBQUFBwQZFUFBQUFBQUFBQUFBQsEERFBQUFBQUFBQUFBQUbFAEBQUFBQUFBQUFBQUFGxRBQUFBQUFBQUFBQUHBBiUzs4KCgoKCgoKCwn1PqLeK6r53v7T11SiZmY0oGgUFBQUFBQUFBQUFBRsUQUFBQUFBQUFBQUFBwQZFUFBQUFBQUFBQUFBQsEERFBQUFBQUFBQUFBQUbFAEBQUFBQUFBQUFBQUFGxRBQUFBQUFBQUFBQcENJEn6iyRJRyRJypMkKV2SpLWSJDV34/oGkiTlS5JUcC/bebcogoKCgoKCgoKCgoKCe/QGvgS6An0BLbBNkqQwZxdKkuQNLAb23MsGVgVKHgUFBQUFBQUFBQUFNxBCDDL/X5KkqUAu0A1Y6+Ty94DTwG6g1z1pYBWhaBQUFBQUFBQUFBQU7o4gDOvqbEeFJEkaBgwHnv01GnW3KBoFBQUFBQUFBQWF+54APy/Cgnzuuh6vQhWU8ZAkSZPNDn8rhPjWwWWfAieBg/YKSJJUDfgOGCuEyJck6a7beq9RBAUFBQUFBQUFBQUFSxYIIT5ypaAkSR8D3YHuQgidozqBr4QQh6qigb8GiumRgoKCgoKCgoKCQiWQJOm/wGSgrxDiqpPifYF3JEnSSpKkBX4AAsr/n32v21oZFI2CgoKCgoKCgoKCgptIkvQpMAnoLYQ478IlLaz+HwW8CXQEblVx86oERaPwB0KSpEckSRJmP1pJkm5JkjRPkqTqTspa/wy3Kt9CkqSlkiQlSZJUIknSbUmSdkuS9Ldf9UMqKPyOcNKHzH8eMbumV/mxfEmS/O3Uu8vsWn15nO4LkiTNlyRpgFXZF8vLDXbQzpHlZZ6psg+voPAbIEnSmvI5SO2gzMfl73uL8jlLSJK0207ZoWZ9bVL5Mbf7tcKfD0mSvgCmY9AmZEuSFFP+E2hW5j+SJG03/i+EOGP+g0E40Jf/79AJ+rdC0Sj8MfkbcAXwBToDjwA9JElqLoQotlPWmhPGPyRJ6gbsAO4A84CbQGx53W+V16Gg8GdkqtX/szH0ixlWxw+Y/f0QcB2ohWE3aZGduu8Ar5b/HQDUB8YCD0mStBR4SAhRBiwE3gemAJvs1DUFQ4zvJU4+j4LC750FwAhgHAazDQskSVJh2OE9LYRIKHcWLcEwB9YSQtywumRK+Xlfs2OV6dcKfz6eLP+93er436lYF1UD6v1aDboXKILCH5PNZo4y30uSlIlhwTECWOqgrD3eAAqB9kKIDPMTkiTFVkWDFRTuR4QQC8z/lySpP9DR+rjZeR9gPPABMAiD0GBPUMiTqf914H8YJqjrwKtCiBRJknYAoyVJ8hdCFFldE4Sh728RQqS5+xkVFH5nrAHyMCzwbQQFDDbg1YD/mh07CLQGHgTeNR6UJCkAg7C+DkO/BNzv1wp/ToQQTkMWCSEecXJ+HoYN2N8tiunRnwNj5r/KSrX1gERrIQFACHG70q1SUPjzMRxQY8jIuQgYKElSpKsXl0fTeBY4BzwtSVJI+an5QCCGRY81YwE/DDuxCgr3NUKIEmAZ0MvapLacKYAeg6bNiAb4pfycOWMAH2w30BQUFMpRBIU/B3Hlv7NkzoVIkhRh/WNVJgloLUlSq3vZSAWFPwFTgfjyyBi/AAKDmYTLlAsLCzEs/ruXH16BQev3oMwlU4ACYHUl26yg8HtjAYb1i0XfkSTJF4NgvEsIYe0Y+jPQXJKklmbHpgBbgPR72FYFhfsaRVD4Y2Jc/NeQJGkc8A5QjHxK8U0YBkmLH3NnHAz2z/7AcUmSDkuS9KEkScPKB2UFBQUXkCQpDBiCQZuAECIT2IrB/MhdzpT/rldeVyEGQWCQJEnhZveMwWCKscLaJElB4T5mF5CMrYZgBBCMvPZsL3CD8v4mSVIU0B+DAKGgoGAHxUfhj4m1Q+MVYJIdMyGjGYM1JqdnIcQOSZJ6YPBz6IchjNdLQJ4kSc8LIeZWTbMVFP7QTMQw5pqbOSwEFkiS1EAIccmNugrKfweZHZuPQaMwEfiq/NgkwAPF7EjhD4QQQkiStBB4TZKkJkII4xxmdExebueaRcCUcl+fSUApBgG7w6/UdIV7jJ/ah6CoQOcFneCZ7Wm2Cvpzo2gU/pg8CwzA4Jy1EYgG7GUKPCKE2CbzY1FeCHFACDEag311W+BtDGYTcyRJ6mssV67FEJIkFUiSVCRJ0jVJkiZIkjSz/FiBJEmlkiF0q/H/E1bXmf8Mq/Kno6Dw2zAVOAl4SZIUJ0lSHHAKKMN9rYJxJsw3O7YVSMXS/GgKhuhJOyrRXgWF3zPzy38/CCBJUigGjd0aIUSenWt+BmoAPTH0jVXl2jgFBQU7KILCHxPj4n85BlXsaWChlTlRpRBC6IQQJ4QQ/8RgCwqWi5zWwGUhRKAQwh9D5IkfgDnlxwKBb8z/F0K0Kb/uqtkx48/6u22zgsJvjSRJdYCuGITsa2Y/CYAXtiYUzmhe/vuy8UC5cL8Y6CZJUm1JkhoC7YFF1oK/gsL9jhAiEYOgbRSMJwDeONCeCSESMPS5tzFoxhWzIwUFJyiCwh+c8gXCaxjyHjxbxdXHl/82D5HaCjhq9v9hDAsh83etJYYB3pxWwNkqbp+Cwu+FhzBo9R7AEGnF/OdtoJ4kSV1cqUiSJA8Mi6MiYL/V6fmAVH7eKHwoZkcKf1TmA3XL+84UIBP7uUSM/Az0weCPt/XeNk9B4f5H8VH4EyCE2CdJ0kHgeUmS/iuTdM0h5aZFu4QQeqtTQ8t/m6ctbw0cKr8uCkNCtjVWO5oty49jdZ0iKCj8UXkIOCiEsAnDKEnSFuAvxjKOKikXEv4HNAHeFULkmp8XQhyTJOkchkWTD3BWCHHCtiYFhT8ExmSDrwM9gK/KkxA64icMEcMShRDae9w+BYX7HkVQ+PPwIQYHr0eBz8yOD5Ikqb5M+WNmDmL/AwIlSVqJwfFZhcGEYiqGHZxPzK5rBQyWJOnN8nNrMcvcLElSLSAUgzkUVtcNlSTpMbNjbwkhPnfjMyoo/O6QJKkj0BD4Xu68EKKoPGHaA+XBAYwLnWBJkoxmff5UZGauh8HE6K92bvkz8K/yv9+ogo+goPC7RAhxp7zvjCw/5FR7JoS4g9mcpKCg4BhFUPjzsAqDPfPLkiR9bXb8b3bKv0JFNKSXgXEYMsnOxLBTeRvDguTfQogkMGW5rAdECCGy7dTbCkgydzYzu665mXCioPBHwbjYX+OgzFpgGDCYijDG1ahw2CzA4JR8EHhCCOHIZGIB8M/yvxc6KKeg8EdgPoYwp1eFEA41cgoKCu4jCSF+6zYo/EEotxNdLoSIdVDmTaBDeQQl8+u2AUEy5k0KCgoKCgoKCg6RJOnZNxs0+HRIVPRd1/Xy2UQOZWfHCCFSq6Bp9zWKM7NCVdIaSHRSphW2jsytgVOKkKCgoKCgoKCg8PtBMT1SqEpciVzUClgic6yjJEkFZsdyhBA1qrJxCgoKCgoKCn9cvIO9CYj2v+t6PC57VEFr/hgogoJClSGEeNyFMo3sXOf0WgUFBQUFBQUFhV8PxfRIQUFBQUFBQUFBQcGG+0ajMLB/f5GZlQlAZlYWHioP1CEhhtRCVgi9IDcvD41Gg7e3NyHBwUgqCb1VYRXuOXJbX+8KmlIN2dlZhIWF4+Xt5fb1cpSWllKQn49eLwgPD0flYSvvyX22oqJizl+4gJ+fH17e3uTl5tqU8fPzo7i4GH9/fyLCwwlWq/H0tP+auPsMAXRaHfkF+ZSVlQES/v5++Pv7I0nuP9+qpDLfrxFXn4MQgtTUNCIiwi2ea2XurUJw/MTJzUKIwW5fbIcBbRuLzLxC8vIL0Wh1hAX6221ZQamGEq0eDw8V6gA/VCoJycPyHZc8zf73sFTlClX551cZjps/A73Z49Tp7T9bD5WEVqslKzOToOBg/Pz8LM6rrBrv6vdUVlZGXl4+2jINoWo13i72Xa2mlDMXLuPpoSLA35+cvDys40X4eHuhKdPi6eFBTGQ4IcFB+JTXb3ompgbbV39bvzPmj0mv11NYUEBpaanhnj4+BAcH2e1jDh6xCUffgz08rL8AMxycssHdW2dlZuIfEICvr6/L7bbX1tMnT1RpH6vdppsozstBqylBU1yIh38IkkqFTqvHw9NyLNdrStGWFOHhocInIAgfH8v30Mts7Pcsb7+X2efwMPu+zT+f+Ue16RN62yTeQq8nIysbH19fgoOD7X42e++k3Heg1+vIzc1Dq9Xi7edPYIC8uYiH1TsrgCsXz1Om0RAUHEJhQQFarWXqBE9PT4QQ6PV6qsXEEBwcjL+vt0UZSW+bQkGoPC37XPmzkC0reVBYVExRsSEtkZenJ8FBgai8vG3KotdV1KGzer7l46JN3zfiwhhg7zu0uafZGGw9/sq12VE78vLyAIng4CC77XKG8bWo6j6mULXcN4JCZlYmB3bvNP1//sIF1q7fwKSJE6hZw74p+/UbN9i8ZStarY5mbTvQoWNHVCrD4OqrL3X5/iUqn0q3XafT8cvSJRQWFCBJEkHBwdSvX5/ateMIDQszTd4ajYbz58+ReOYMpSUlAKhUKnQ6nUWZuvXq0bNXb7y9ZQYkK4yfsUTlQ1JSEr8sWYxarcbb25uBg4dw585tVq1YwYH9+zhz5gzFxcUEBgby/ddfMmDEGDw8PCzqsFe/HDk5uVy9do0rV6+Sk5MDkgRCEBAQQO9ePYmtVs2t53ivKcKL27dv4+3lRVS0e1ET3HmXysrK+Prb76lZswbDhgzGy8ur0u+XOtA/olIX2iGrUMPB799Fn5NGak4+C3bE0691I5oEyrfPJyqSrPxC1sUnUiR5U79GNL1aN8XH2wvPiBhDocBwm+v0/mrDbz+16Zj5MyjQGPza8zW2ixZzgrwrJq9tmzdy62YyKpUKX18/4urUpWmjekRGRpn6vFdZEZevXOHU6QTy8vMBQx/T6/UYI8DptFoiIyMZ2L8fQUGWk6CqOMdhewoLi/joy2+JDjYsevp16wQIlm3Yxs6D8Zw6d5GsbIOA/vG/3mbKIzPx969YIFm/B8bnABDorbI5XlRYyLnLV7iRdI3M9DTAIIx6ennRvnM3WjRuaFGfXB1GnD1rdzH/bowIIcjMSKekpITG9eJcrsu6rY7I1+gQQrBy8c9IksTA4SMJCLRdzMgh1+YaYYFV2seK83KY+P4iAMpKizm3fSXq2Nqoarexe02Mv4qcswcoyMmkVs1YmnXqiZ/ZZ4rwr5gLogIMf6t9Lad342czfwfAduxy9I7HHzvBkcRLeHh44OXtTVzt2tSrW4dqMTHofAIBw3ecnJxM/LETZKSnARIaYTgu9IbvUafT4e8fQMuuvdGWjwXGdhsxb7/59yKE4IcvPiEwMBCtVkeHjh0IiYxl5+Z1bN+yhZOnTpFy5zYAb7zwDE9NHkV0ZDjaJPk4G6ZxCkxjld5fjarI8Bw0mjKuJd/iyoWz3EpNtxD823XoQJtmjU3ji/Fai+dZlAMFmXafqdy9XcF87ATL7y0nN4+0jAwaxYQiFWbZ3Mf6Ho7qcsT6LdtJvnWb0cMGE1W7gc15e/OadX+u6j6mULXcN+FR27VtI8wFBTDsmi1cvBStTsvkiRPw8bG/2CqWvDl16iRH4+PR6/XEVKtGlzYtqFG9uks72XcjKFiTm5vL1SuXuZ50nezsLNMCxdPLiyZNmtKseXP8/f1NOyIqlcqt3faRw4ayZ/cui2MdOnYkrk4dPvviK3x9fSkqKmLzxo3k5uZQr34DWrRoQYhazeJFC3li9iwAvvzsU2ZMe9iiHuvn4KMr4U5KCgkJZ7iRnGxxLjg4mHp161K3Th3CwkLttrdE5ePWQruqEEJwOP4Ix0+cxMvLE52HN7HVq1NUWERaWir+AQEMGjSYyKgou3W4227z53fjxg22bNqIXq9n4KDBxNWp4/ZnUAf6HxNCtHf7Qju0b9ZIHF7yJdqMFNOxDdt3ceV2BpN7tyMsKED2OpXa8Iwu30xh14mz6Hz8/5+98w6Pqkzf/2cmk0zJpPcOIaQQepPeO4J0qQIqiL2uur247uquuvaCKApKB0F6772GTgik916ml/P7YzKTmclMCuLu+v3tfV1cmjPnvOc97ynvc7/P89wPAb4+9OjVm/ZtY20TqbsJyhVJgJYZr66MO41aTVbWXbIzM1FVlduIgFgsJjk+ji6dOhEQ4G8xXgQBkUjUqnfsjb+9xZtvve2wLSoqkv59+/L3N/5MVFQURqOR/QcOkp2TQ1xsLJ07dyIiPJzzFy7Sf8gwAOYvWMgb73xgGx9311tVWcGta1fJzrxj6zOATK4gtk1b/MJjCAwJtV2Ds5HoPF6uzlOl/WlFat2dszgrg+NHD9u+Y0HBIXh6epKbk4231JOhw4bTNj7ebbvuSEJLno2qygr279yOSlVHj959SO3i3hh39RwBRAcq7+s7FpXUUXjq000UVmlt20oyrpF37SwJfUfiGxrl8rgIfxkRfjKqy0q4dvooGlUtXjI5sUmpdOnYCYmnZ7MkwQp7suDqG+ZsKDobkmBZtMrKzubOnbvkllZgMhptz2V0TAydu3RBGRjm8LyKxWK3z55zn7dv3sArSx5rtO/c2bN49OHJDOjTC0EQOHP+EhevXCUsNITuCTG0iY6ktLySyF7DAeicGM+B93+D7vw51EXlKMKDUIRa5iNpaIilX/6hqDRarmbmkV5ei14sRaRTIyDgKZHQJiqchNhIokKD8ahflbd+Ix2IhgsYy4qa3ccGu0WVlhIGgIKiYnbs2Y+p3l7w9fEhWOFJ+t0s0Kno06UDPVITmz2HWe7fYpJghUaj5cddeykpLSOpU1eGDRnsQJyg6QUQuH/vmEgkeu7PPVI/mBjn+h1qDZ45foHjxWX/k0flF04UrCgrL2ftug1ERkbw0IQHHR5SdwZ+VWEOFy9eIi8/37ZN4ulJ2zZtCA8LxdfXF38/P+RyOSKR6L4ShdbA/iPekj7IzDr2HTjI6rXryMjMQiQSceqkpQZN9x49Sb91k04dUxk97kEWPbEEb29Hw++tv73JW397k0fmzmHNuvXcvXWd4CDHFeGskgqOHD5MTXU1IpGIuIgQOqZ2JC42ptXhQ/bX9FPIgiAInDl7jpvp6cyaMb1Jb0thURHbd+5Cr9PTu1dPenTvhs5D1qgPdXV1bP5xG4IgMHvmDAyeinvuZ1P3zmg0sm/vHnJzchCLxfTu04eOHTu5HEvnc8t8A+4vUejcQTi96iOHbcayIjQ6Pav3HUeEiId7tUfhxpiBhomzuraO85nFZGTlWAwFqTciIDYmisjwcHzDovHz9UWpVNrGH+4PUXCG8yqqM1p7T69dv85nS7/kxs1bmAS4cvkyKpWK9omJFBYU0DY+nuEjRrLkqacID7d4zqzXdeTgAWZPncjwMeNJu3COdz//msTufRzar62u5vzJIzYvgZ9/IN27diEuvh0eHh4/2ai3R4lK3+Tv9iu9WRm3uHLhHAOGjyYgyP0ioMSgZv+uHdRUV9G2XQJ9Bw3FX974ndTr9Rzct4f8vFxmznkEhbdrImpFU8+DuzHxl1nCUC6cOcXNa1dBEEhK7Ui3Xg/YjD749xMFZ5jNZo7v2oa6qozEgeOR+fjZfovwt7wfEX4yh2P0Wi21ubfJvn0Tk8mIj5fF2G4TE0VEVDS+fv74+vkRHujvMC82RxSaw73Oh63xDJUUF/PFxx9w/UoaRr2W3Lw88vLyCfDzQTALhAUFMLhXF54cN5CUNo7fo8LyStpOe5ZO8bFgNjApJozRZiW1hXX4RCjxDlPgGaLkslZHns6Ap68PPnIpHWLDSe3YyRYKCI5EwH4BxVxVYvt/60KJq9/s92kJYcgvLuPA6Qv0fqAvSXZeN2ejXq/Xs2PfQfLyC4gID2P8yOHIZA33xeoRMdeUcvziNU6lXWfexJGEBwc28vK2hpQ4XFP9OaxtXLuZzpFzlxEEgbjYWIYMHuQQDupuQeh/ROG/G/8niIIVdzOz2L1nD2aJlJGjxxAbG+t2X1cfR71ez83sAkpLS9FUlVJdXUNtbS06wYNJUyYTFmZ5ycvLyjhy+DAVFeWIRCLbaokgCMTGxTFy1OhmDeamwnma66fzMTERYdTW1qJUKgkKDLR4IgQzGo2WykpLgWSpVMrvfv0ajy9cwNnzF/j08y9Q+PixbPk3Dm1l3r3L9evXmDpuFCmdu7Fx7So6pKRQW1vL7r37KCwsIiYmmj5DRuDv7++2jy1Fa8OZnI8rLi5izMgRZN69a/vtetpF4tu2cdhfo9Gwe+8+8vMLCA8PY9yY0bYPmLUtd+fNLyhgzbr19O/blz4P9G7Rdbnqa0tgNBo5feoUaWmXiIyIZMJDD+Etcm8U3m+i0KNrZ+HM5hWOG+3c5sV3brPx0GlMZjMDB/aja3KC+8ZcrFyZTCayc/MpqFZTXVVNVXU15bVqjEYTQ4YOJbqdRRRLrVJx8sQx8nNz0Jka3i8AX39/Ro6baCODLSEKti41QxjA8hw437PH5s1m4w+bAYiMisLLywuDwYBBr6eystIWHjhr3nz+8MbfuXHtKhvXrebUyZNs2nfUZpBWaY2oamvYv30LE2fO48XH59J/1AQGjZ9MUXUd+ZdPU5B1F6WfP136DiIwxBIC5xyW4YzmjH1nlKlbtn+wwguDXsffnl3IhWMN39/ff/YdPQcNd9g3SObB+ZNHybp9C4W3koGjxhEXHtKoTVf3S1VXx+rvviU2rg0jx4xz+f10JgmtIUv2q9WCIJB+4xrnTp5AJpczfvI0QvyUbo/9dxEFKwx6HUe3b8agVZOQlEx8tz6IRCIbSbCGGZWp9S5DjgRBwFBdRn5eLnU1NdTUVGFQ1WI0GknukErf/gNReokxGAycOX2amzeu44XJdiyAp5cXUx6aiJ+fH864H4tmdXpzo3dx+VfLePH55wAIj4hA6e2NWqVCEAQqKyvR6fWIgNEDe7H0xQXkZ95h57nrfLD5IBf+uoQA7waD1GQ2s+zQeZ59eCyv//0ritLLiFV5U2s0IZGZqfUwEBHuQ792YXRIiMA7IhhFaIDNw2APdyRAV1Jq22Z/nHW7uqTS4Thr+87tgWXcX/v0ez7csMu27a/PP8rrj8+2/FH/LRUEgfNXrnPqwmU8PSWMHTKA2KgmQnjtvt1Go4mVW/fgIfZg5riheHl6uiQM9sZ/a+AcTpqZlc3+gwcxGgxMmzrFtuBofX7+LxAFkUg0CHgF6AFEAgsFQfimmT6OBv4EdAR0wHHgV4IgpP/kTv9M+MURhZZ8pAwGA7t37SQvN4+QkBCGjxxpM2qtcGcUujIajUYj36zdSG1NLRKJB4GBQQwaPNhlSEr6rVscOngAkUhE9x496N6j509K0nXup/31FxcXcfrwAT757AtOnz0LQFRUFNXV1RgMBhQKBePGP0hUeAgnT53m6LHjqCrL8PDwoLq6mr5DhjNi5ChmzppFasdOiMVi2kRHIpfJOH38KA9NnUaHlBT69+2DTC5n9MgRhIeFNboH/+6wIfvzXzh/jmGDBzFv/nymz5hJz9QkW5iT0Wjk0JGjpKffRiaXMXrkCKIi3RaNbhbHT57kzNlzzHp4BuGtyGG414k1JyeHXZs3kpKSzMjhw1zu83MQhVN7fgRoPGHYTTqCIHDk3GUup9/FRyFnZL+eRIXZrTA3kZcAjXMTBEFgx/ZtpGdk4unliULhTZ/+A4iNa9OoneKiIn7c+iMSzLRLSKTvgIF4erZOKKAlhAEsYYInjh9j3Zo1/LBpIx4eHiiVPkgkHtTW1eHp6Un/gYPp0LET169eYc/O7fx46BTtk1OoUOt5cf50ZDI5o+c8TrsOXfD08uLD373A4W2bWH7oIp/+9fdUl5eSNHAMIrGYPoOGEBbTcM32hmBr0RQZKKzWNtrmvFptG4OyEn4zdQipPfswbuYC2ianEhRmMU4EQSDjahq3Lp9HLPagU+9+xLRLbDLe3B7OpOHO7XR27djGyNFjSUxOAX4aQWju/NVVlezfuglfP38mTZ3u8lt9v4lCmw6dhUUfbWjRvkV3b5GZdppAX2+Suj9Apw4dmty/udCj82dOc/b0KfyUcjw9PenV+wE6pKYiEokcvuO1tbVs2vIjapWKiIgIRg4fhodPYGsus0nYEwWNRsPZM2fYs3sXH3/4AVKpFJPJRGhwEGUVFXiIxXTvlMLIAX3JyMrhux+2889XlvDs+AGYq0p4ffkWjqbd4rUJA+nVNhJ9Rh7bb+fyyr4znP3zYr5Zu5+1N7NJNvsiAGF48YBCSbTCk0BfKeFdQ1FG+DmEJFnhijhYYSUEzZEEa7gT4JaMGE0mer/wDl6eEl6ZMowe3boQHxmGZ4jlPbudncf+UxcwGk30SE2iT5eUZu0Ke++HPUoqq1m99zhdE9swuGsH97lkrvIqXHzXrXCVdwYW8ZV1Gzah1WqYPm8hMllj7/EvmCiMAwYAF4AVwFNNEQWRSNQWuAF8CCwFlMA/gHhBEJpYdfvP4hdDFGJjYoTf//kvhIWGEREZSWJSIzl+lygvK2Pfvr1UV1Uhk8no/UAfkpKTkQuuJ1F3q8utNfbMZjMXL5zn0sWLiMViJIJlclN6e5PavTcJ7ds3iuNzBXehRxXl5cTHxTR7vI9SSXh4GN4Kb3x8lCQmtic4KJi49kkEBQWxccMGrl6+zM2bN2z9BosHQqfT8d4/3uKpJU84tOmKKJjNZtRqNQaDEbPZjFkwIxKJ8JRI8PT0xMvLq0n1pNbC1f2oqqzkZtp50tPTLfHoHh4M6NeXlOTk+3Zeo9HI92vW4iH2YNbD0x1CF1rT15bAeu/Pnb/A8ZMneXzhgkahYvebKLSJjRE+/sdfCQsNoWNyou2eOZAG+wlEGYSqJI+9J89TUFKOh4eYbint6dG7T6OxaYoo2JpuRWgCQEb6LU6dOA40eB28vKSkdupMUkoHBwKh9BK7TQ52B39lYyUWey8igLfSB18/PwICg/D09CSmXSL+gUFExbUlMiaW3Tu2c/vKRe7evIbZbLIldHpKZRh0WgZNns2op/8INDbW7YmCIAjotRoMen193LelHbGHBInEE4mn5R+0niQ0Bfs+6TRq8u/cIvf2TUxGAyKRiJjEDrTr1B2RSOSS2LSUNFghCAIHdu+gKD+fyTPnoPD2/kmhVi0hKbk52WzesI4Zs+cRFu4YHnK/iUJwZLQw51dvYJD6EhKXgJdM3mgf5+fAaDRQdO08+Zl3LH2KTyClWy+8pI77uSMK0HSegj2c576CwkJ2HjyKXtewXSwWk5ScQucuXRyS8e8FnTskkZPjmN/m/I4p5TIUchlRYSGIPCQkJ7QlNCiQuBA/EgKVHD50lOPpuaRlFaAxmmwaQGKRRVnHDwkPE4nITo1HKRHT3V/mQBbkYYHojCY8AnwwCwJmQUAQLIpSEg8PvCQeeHqIkYWFuiUK6pJK1EWNjWx7stAU9EYTmToTaZn5tm9ju+Qkhj/QHU/Ppt8dKzlwDn1y1dfTN7M4eTOT2RNHEx7o3ygsyhXRkASHt2oRyB7FtVq++forRowcRWrHjsAvnyg4nbsOeKYZojANS8FZL0EQTPXbhgIHgBBBEMp+csd/BvxiiEK37t2FrTt2UVpSQv7ddNJu3ubJp55ukaFmhU6n4/SpU6TfuomnYESuUDBsyGCioxoeqvtFFJxhba+mpoYLl9K4cSfLlkRpRZu2bYmKiiY0LAw/P78mVwzs+ycIAiWlpezbf4DHnnjStt3Ly4tRI4bTPqEdnTp2RCqVUlFRQUlpGTcz7nLr1k0yMzOpq621qStZsWvbjwwZNNDhnIIgcOTsJa5eueyQ/CkRjIhEIhRyOV5eXojFYsRiscUFbjBgMBjQGwy29q3XLQgCNgkJ67Xa/e2tUKBUKvH29sa7fjLS6fVoNRpKalS2HAnrMxzip6RTx1SSEhNbRMJ+CvILCli3YSPdunZl8MABza7u3Mvz45wv8eXXyxk8cCDdu3Vt2Oc+E4VunTsK677+nMLiYg4ePcEzixbgW6/806RLup48mEwmLmSVcuHqdUwmM16envTr2YUO7dsBzasdQevJgjO0Wi3Xr17h5vVrmExGZPWSk4IgEBEZSXBkDGFh4QQEBuEjdf/9cO5HZWUFd9LTmTR2hMP2foOH0iY+gbjkjvj6+VFdWUlVRTl52ZncvnWT/Ky71NVU4SHxxGRoMODn/OovDJsx38Fwj/CTUZB5m/QLpwFQSi2GgQgRAgJeUhleUhkikRix2PLsm0wmTEYDRoOBarXlmRGc5RLt3qtqOxKhMnngKVMQFuyPVK5AJBJjNOgx6nVoVbVoaqttYwfgKZMT1qY9YW0TkdjJQLrzRrgKjbGHK4PWSgpUdbXs2LCaoNBwBo8e36pvfXPncBX+ZDKZWPPdCiIioxg2cpRt+/0mCu06dBae/OeX1FSUcerwQToNGUtghGXRx1V4kf3fod5eCIJA9p3bHD9xAoNej0gsom1SKkldeiASie4LWQDXIXhWGI1Gbt68weW0NLQaje37pzMJ+PsHkJKUQHh4OMHBIc3eN+t3Tqypok6loiw3k8TBExz2eaBDAh3aRtO5XSwxHbpQqTVRWqsh59ZVbtxK59adTEoqaxAjwmhn0zwUF0X/MgV3nELzVBjJQYOXWESs3BNvuQTfaMt3zidQiW+QH2KxyCbNajSbMZrNGEyWf14+CgTAs14aVBAEDDW16GvV6GtU6Ko1NkriKRaj8PQgKMSPwPBAJGIxepMJndGESmegXK21EH+7/TsmxtIpJpTAGItt4ipcyRVchUW5CoGywmgys+lGNiazmVkTxiCXNryjTeZZuEmIdkUSnJ+hH7dspra2ltlz5iISiajTm+8rUXh7eK8PpiS3+alN8fjWoxzOKXoFmGW3eakgCEvdnLslRKENcBN4HlgGKICPgA6CILQ+rvnfhF8UUTh09Ljt75LiYtatW8vTzzx7T6E9MrMOlUrFnn37ycvLp0ePbvTr08ft/veLKLhrz2w2k52VRX5+PhWFuVTX1GAUuV49kAjGxgY2FmMy7fIVkjt2ZvjIkfRKTbJtv51xh/Tbty3axyIRJqOJwqIiPvj4E6Kjosi4Y1mpmjp5Er179WTJoseRSqXU1dWRfjuDc+fPYzKZ6NanP126drON+c8VdiQIAiqVijqVClWdCpVahVgsxtPTE5lMhr+fH9IAx4/nf0I56cLFSxw/cZLIyAgeHDfWrfJWS5+f5q7hx23bMZvNTJpomUjve+hR927CqV0/ABZi/d6nX/Ly04tt+QCtjV81GAwcPn2ea+l3iI+JYuyEiRY50p+RKIBrA0gQBAoLC8jJzqG4qIiKCsdVP+dVTJ1JaETmjUYjly6cJyw8gr5DR9K9tyV+XK/TcfXWbXLu3qairIw6gwnBLFBeUsTR3duoKS9FXW90dxkwnNikVIbPXEidSIFRr6e8IJu8G2nIRQYi2rQnuWdfxPUGVkvCj1qac2AlJYVVFuPEqNdi0KoxaDUYNGoAxBIJEk8vvBRKpMqmFyygIdHWYVsTnhFoPufCHlduZXDm0B7k3kr6DB+L0tevVW20lChYcf7sGa5fvcyc+Y/iK5Pcd2WxhI5dhPfW7aZMbfEM7fn+S/qNn4pPQFCT99rV9Zao9JjNZu5cv8z5M6cJDQpg8pRpSOvDO1qjftQcrO+lu2Osv1eUl5GdlUVJcRF1lWU2L7UVIpEIrdGM1KN+oclssM1jYoMGdCouXUpDbNAxYUAP+ndKQi71wmgykV1USnpOIZnXrqGvVePlo6C4uo4zt7I5eDuXQLGECrORFImCZG9vpreLRchRc6hMRS1GStGjxYQCD2JRIKk359t5exEllxDoK8UnwpKv4h1mWZxSRjjmaVg9A7a/6w1vqyehrtCxPpHeZEZtNKI2mRD5yzGYBTw9xEg9xCg8JQTKpYjrr9++bfswpZ+LKIDFy1Beo2LzpbsIgsD4ft2JCgl0SRSsfWmKLEDTC0EAWVlZbNqwnieffga5XH7f3rGfgSjcV49C/X4DgfVAMJaixxeBsYIguB7w/wL8YokCwO30dE6dOsm8R+a3qi1XxtjZc+c5eeo0ie0TGD1qZKPJ8X4kcLlKYK6sqGDHju1o1Go8PDzwEpmJjYkhvk0boqOjkEqlaMVSpCYt1dU1lFdUoFLVWQxolRqVSoVKpUKjrZ/468mFIAh41oc7eXt70z4hgXbx8RQWFZJx5y5vvvU2l69cBeDBcWPp2qUzfn5+DfGD9c+FQqGgfUIC3bp2sYVx/KfkTF2hpUpQP+e5ZWYd+QUF7Ni5C4PByPBhQ0hKTHS57/3o47nzFzh/4QKLHnsUhX/QfScKJw4ftEnkVehELFu+nJdfeB4PbeMCfVa0hEBkZOWw7eg5QoKDmDZxHB6+lkmwpVrbLYErI0aj0bB7505KS0tsoVQRkZG0adOWmNhYh3AuY005pWXlVKj1qFQqyqvrUKnqUKvVmHVqByKhNZpt//XykhIYFUdsfAJ1tTVcT89gz4bvObl3OwBxKZ3o3H8YMm8lMoU31Zr6AlGCgIfEk8CoOCLbd0Aqt/TF3Qp9c2gurMhekjOvUt3kvtEBrQspuRfC0Bqoams4tW8n6roa2nfqxsB+fVu0SNRaogCQn5fL9k3rWPLU00SGBv8sRMEKk9HIxq8+5qFHFiOVux7zpkiRfSJ7VXkZx3dvJcBbxsgJk4kKacgrcHXNznU1miMO7t7JKo2ek0cOcvN2BmpTvbBHRBhRsW1JTmiLr5+/TZZXp9VSUV5GXW0tarUKjVqFWqVCo1ajVqswm0zIJGKkHiI8dTUIhZZFLA8PMXHhIfhcvsIXKy5SgwmxzMAWraVOgJ/Igx4evkhFYiK8LF4CqZ8UbbWOWxUavMweBOGFHNf3XlnveQyTShxIg5UwQGPS0Gh8CqtRFbt/r+zbctWmM1EAfjJZsCcK7nIwrG2bfAPZdugUeZmZtIsKY1j7MCROHiFXRAFa71mora3li88+Zd78+SS1i///giiIRKJw4AiwGVgN+AB/qf95mGCNJ/0vwy+aKACcPnWKqqpKRo8Z2+K2mjLKrly9yuEjx3hqyeIWyazeK65cucyxI0cJDApk7LjxAPj4+OBpUJOTm0dWdjZ5+fm2yqoAfr6+BAYG4qNUolR6o1B44+kTgLdSiUwmc5g0xdpaKiorKS8vp6i4hKPHjrFu4ybu3s0kJTmJDikpDB86lC6dOxEdHUVIcDBisbhZBSBnOK+4/ifQmnvjTkXqfkkEmkwmDh86yJ2MDEQiEf16dCWle2+3Y3SvJCY3L49Va9byx7/89WchCvbIyc1l9959LHp0oUt9dXe6267Ig1nhT0FRMd+sWsdzL76MQqH4ye+WKwNHZtaRl5/P5i1bkSvkjBszGg9lACH1Bld+QQFZ2dlkZ+fYKqsCeNdXJPfx9bG8WwpvS+ibUkmAVOzwTTCZTBRWqcgrLqO8vIwTp05zaP9ezp84SnBEJG2TUunYsy/J3XoRHB6JSeGPh0TisKrvyrh2xv16x6wkwRVBKK9sGIOggMYx89Ay4uDueu4nYbAmUKdfuYjSS0x8+2S69O7rNgeqtUTB+izV1dXx+aef8Ne//PlnIwqh3l6UqPRo1Wq2fb+MqY8/S5ib4oZNwVn1ylvQsf7bL5k9Zx6h9fK890NG2JkoFJZXsnXjOlR6I/Hd+yHyDaZUY0Ys9kBdU4mough9RTFincp2jFbwwC8wCIXSB5nCG5lCgUzhjUqQIJUrKK4z2J6X5CAFCYZ8Ss/so7ymjm3vrmTD3UIyUSMCIpERhpTeMh/8RRJ8RR5IRJZr6BTmbfMO1BbWsfmu48q6PQQEh/wFaPAyxCU1GMT2hr6VEDhvqy2sa9S+tR+u4B2m+LeQheZIgnOOws1Llzh44RqGumoig/wYGBVEQHSka5lXF8Xi3OUq2H/vTSYTX37xBa+/+sr/L0ThDeBBQRC62W2LBnKBgYIgHPuJ3f5Z8IsnCgA7tm9Do9YwZdq0Fk2orhKE7bfl5uWxeu06nn3qyUYSmj8FZrOZw4cOcvPGTdontmfEyFGo1Wq+WvYlQUFBGOosK7aBgYEkJyUSFxuLr68vgiCQX1DArfTbZOfk2GL93YUmARg1dYBAQWEx165f59Tp0zw6fz6zHp5Bl86dXB7jKklZEARqa2u5cfMWV69fx2S05CPgNM4OOQf1vwUGBNCpYyrt4uPvOb64JWjtvXGXIN5aEtHcec1mM+fOnuXwoYMsemJJi5W3Woq6ujqCI2N+dqIAcPrMWS6lpfHogvkuFYZckQV3RAGgTqXiw+WrWTj/EfzCm0/Kbw2unz/NiZOnCAkJZtqUyQAsX7ESsViM0WBAEAS8vZWkJCcRFxdLUKBl1bWsvJxb6elk3bqOTq/H7OnaYLY+6wa9Ho1JRE11NZcuX+bMqZM8MGQ4fcdNJbpLn0bGsDU8qLBa67CyH+FvSWouz8+i4PZ1DDotNRojiET4KRrG2pqnUK022LZ5yuQExiQQGB2Ph2fzxreVJNgTAyvUNZbnUeHr+Fy7Ig4t9TY4E4emPCWtJQ/WeP3M27c4sncHIx6cTHRcQ9HC5orOuYO9sWwymQjy8/lZiIKzl6AwN4d9235g8pyFKH19W91uiUrv0Kavl5iVyz6n78DB9OjS2bbdFRloaZK/db/srEx27tyFQeTBmMnTqTFL2LtzG5dvZlKtM+En9UDsISGxQwp9OieTFBdNoMKL2ppqLl+/SW7mHUqraqnTmyzPdL2HrVptoKr+PalTG4gMkNEvRolSX8Wlw3s4fOIaMkFCEkriUSCuN+6VEjFhUsf77UwUSqq17CyvoRQ9Osw0ZylI6/MX/BSeJEUEEK/wRuFmHrOSBXdEwQqfiIZaDs7HWsmCu9AmaB1hcBWG1FQ7rmo8GMuKMFeVkFdWyca9J+ndNYX+fR9wSxSgZWTBCusc+v9L6JFIJHoXGGx/rSKRKAIoqN9+5Cd2+2fB/wmiABZZ0u3btjJ/wUICnQqEtRTO8nCffP4FvXr2ROobgELhjSAI3Lxxg6qqSodkXvsVP+t4Wn+3H19BEOjbrz8p9RJ3165eZd/ePTy2aDFKpRKZWcfBw0dQyOWWhLWcHGpqa0EQiIqMJCkxkbi4WIxelr6UlpSQkZHB9WtXyc7OpqysjIzb6WTezUSv1xITHU1KcjJjRo1i2NDByGVy0m/f5s7du6hUKptBLxKJMIokjfrqKViMFaW3NynJyaR2SGmVDGVZeTlXr10n484dzPXkRqHwplvXziQnJd1X8nAvZOGnyry29Jw6nY7PP/2EhyZNtlVfvl/hUD9HjoK7eiWlZWUs/3YFUydNol27xpV0W+JZsE9mNplMfPr5UqLiEwgODkHhrUDiISEj4zbFRRbFDfsVfIckeHBYFLB/BzsltaN/X0tYSmFREd+u/I55c2bbpHEvXLxEdU0Nvj4+5OTmUl5RgWA2ExwcTHJsOO3axNkKF1VV15CeX8bV69e5c/cuZWXlZNy5w927mVRWVRETE0tMbAxjx40npdcAZIGhpF2/ya3bGaiq61cwRSJEiKjWGBAQqNEYbaTaT+EJIhEh/j6ERMXiFeFaBcce9iRDr1FTkXObiry7mI0WY0sskRAUl0hwXKIDebD3JPxUogDNk4WfgyS4U1ASBIH1339L+6QUuvV6oNl2WkoU4P5XP0/o2EX4brvrd0yn1bJ51bckd+5Kl56W67BeY0uVn+wJko+XB5vWrwUgJiaWIH8lcpmc7OwscrKzbdXK7WuVyCRit++YzmR5z3yDwxk4bAR1RtBq1Hz71Zd06TMQ3zhLyGVpfg6elXnERUVRW1aEqjQfwWzGx8eHlLgIEuLb4B0STaZaTGFFNVduWorG5WfdobikhLysLMryM1FXlRMdHUNEaDDjO8XRBT17vjxPoVlPNUbUmJCKRaQENn5GpX5SpD5etiRhc50B3zqB/FIDRpNrmmANPwJsikjSMAXZajV5nkaqKjT14wJxcgVJSiUhkT4ObVjJgisvgpVEuCIK4J4swE8nDPZw50VwJ5FqVUDadS0Lg8HA5EmTXJ/LTa6C/dzgKn/hl0oURCKRErDKmp4A3gJ+BCoEQcgRiUR/B3oLgjC8fv9hwD7gz8AqLKFHfwM6ACmCIKj4L8T/GaIAloJp369cgUwuZ9r0Ga3WVnc23kwmEzey8lFr1KhVlkk2OTkZ/4Cm5c2aQn5+HseOHqWmupqw8HAmPjTJdm5BEJD7WVY3+/TuxeRJD9GzR3dWr13Hug0beaBPP44dPYLRaEQsFuPh4UFIaCgREREEBQej9FYSGhpGcGgwPj6+jkV0BAF/f38S27cnvm0bfHwaPm73WvTsXlBbW8vFtMvcSk9HMJsRBAFlYCi9OqeQ0K7dfVMrckcCmjLuW3PNrSUmgiCw4pvldOzUiR49e/0iiQJYrmPjD5spKytjzqyZePoFO6iWtATOq0w3cwqpq6tFrVKj1+tJaJ9AWFj4PYfbqMuKOHz0KMXFxcjkcubNnoWHh4fNOyTztby/SYmJTJsymf79+nLl6lVe+83vmDx+LAeOHqNOpcbLyxOzyUxIcBARkZGEhoSg8PEjODiE4NAQ/Pz8bPG7ViNKjSemgEgEvwjkPo0Tga1GvrtKu9By+VJ7wmAPk0FPWXY65dnpmI0WUuIpk2MKiMUnsi1iied9IQrgnizYk4Tm8i2aIwnu4vNdeQwO7N4BwLDR45psE1pOFv6dRMEaQpSbdppb1y4zddp0wiIaar80RRas4+HquooKC6mqrACDBo1GS0xsLLGxsbbvrXNIUVNeh1q9CY1azfnTJ7h5OwPBbGb89NnU0aDM9Kv5Uzl2+BCR4WFMHz+CYd1T0FeUM/33/+KhHkmczsinpEaFTCrFYDLhFxBIaFg4waFheCuVKPwCCAwOJTwkiCBvKV66GqgpxVRXTV3aFU4cyMUPCWOCfGiTHExY14hGScTW2gj2UBeVU3ypkBOXim1KSNYQIysC659/5/wE+9wDkyCQrVaTrlJh8raMtzJAQftAP6INIHcKg7Mee69EwbkWA7j3Crirn2APB4LQhNypK6/w2bRrXLp2k8dnTWn0fWuqwrOtUrTCvxFZ+AUThSGAq5f5W0EQFohEom+AIYIgtLE7ZibwKpAIaIBTwGuCIFz/yZ3+mfB/iihYUVRUyPp16+jUqRNDhrouVOWMew0vEQSBtLRL1FTXkJiU6NLAKSjIZ9eOHRiNRqKioxkwcJBDxUuZWUdhURFv/v1tli3/hm5du9Cndy8uX71Gfl4+FVVVREVH03/AAEaOGk1MTCx+/v5ERka2WEK1Ndf270xU1oqlVFZUcPnyZXJu38BkMiHx9GTk8GHENVFZ+36c1xk/hSg0JSVoj2++/oqHxowgwkmr/V778+8mClbU1dXx7dqN+PsHMGvygxZJ3BYQhZbErbpC5t273L17h4T2icTExDgQSplZR3V1NZu3bqNarSMswJfBgwY2KopXoTXx9t//xtfLvsTDQ8zC+Y+QdvkK2Tk5VFZWIfPyZOyIoQzt3YXUhHYolXJiIyPw8PCwTW5N9bNObya3Rsf10jqXxr59ToKzDKYV9upFra134I44ABi0asqzb3Pn1g3MRotnI6h9VwyKpr8hTZEEK5zJQnMkoSXeg9aQA2ecOHIQqVRGjwf6NrsvNJ/ke7+JQkrnrsLyrQcsbcskNuPfPs8g1NsLo9HIiV1bMOvUTJ81F4PY0y1RcEUSnOuGWLe5Qp3eTGlJMZfTLtGmTVs6JLazLbRZ29DpdOzduZ3cgiIU3t706NMX3/BYh+fHZDKxd/VXrFmxnFvp6fxuyTwupF3lTm4+VbUqatU6RsdHkSJX8EBiNG0H9yB+4kKMATGN+mPfZ4Wq2GJo1pWjz7hM/r6T1BVWE9ot3qYOZK1hYIWrFXjrPiUX77rMMXAYq3qj3UpA3CUpW3MM9CYzGRU13CyvQmMwYhYgOdiPHhHBqItqGoUlNRV+BBay4FyPoTmy4Cp8qPGFuU9Cdthu9612/rbfyrjDxcvXmD1mULPtgPswVOs57tc89p8MPfq/jP+TRMGKixfOc+TwYSZNmUpSTHirV5Ob2v9ORgYHD+zHZDLTpWtXgoKCSE+/ZQuZgPqQHqOR0NAwxowb51I602g08sisGew/cJAe3bvx8LSpzJk1E6Wy4SPyU/Ij3Bmbajwt8qP1K7l1qjrUKjXGuiqbopJWZzE8rGEdMqmM4KBAoqIiSWzf3q0UaEvh7rq0Wi0H9u8jPy8PkUhEh9SO9Ord2yKNep9IzL+rurTzeWpqati79QfmzJp5X/rznyIK1v5mZ2ezfdM6Bg8cSK+Uts0c1XTMqvMYVBflsn3nLrQaLdHt2pOYmERGxm3ycnMxmy0F/SSCEcFsRiaX89CD4x0IuD1e+s0fWP71V8TGxvHwzJnMnjuX8PokT7CMt3UybFRczi5Rz5ks2EtG1unN1OpNVGmNXC+tsxVI06pV6DRqdPX/lQkGNGoVUrOlJoh9SJWnpyco/AgIDiU6vj1yb2+30qfOWvuu4Ew2rGTCbDJRePMid25eQyQSowiOJCixKxJp88TAHq48CvdCFJpS9bmXXINvv1rKlHmPNblPc7Aa1T8nUXCGfZ6B9bpN6ho2rFlFeGw8nfsPdTDM7zVR24q6ujp++HEblRXlePsH0a/PA+RkZ1Gcl43RYCmoZ5UJBug3fIwtOdpKWqxkZ8ualXzytz+hUMiYNXsOCyaNpmOA2BbnDo4FyYI7J+DTbzjGuB6UGd17/5VeYmRmHZLyLKgrd2hP5BeCzmCgVq2lTqOlrqQQlVaHSqenTqNHrdOh8ZBhMjUQD7FOha/ZiI/RREJIAAEKGYrQgEYyovZwJXsKTXsABEHgRlk1F4rKEAEKnYlUQY6fXaSDO0Ul+/asZMGddKrtutyEIbmrvNwSgtAUln76EUsWzmvRvu5U8azf1P8Rhf9u3L9Suf+F6Na9B126duOHjRs5sqeMeXNmg8LRkKiqrGTz2u+ZNnUKwXa5Da6MWEEQOHrkCFevXqFdu3YsePQxB6WN9k6SmM0h/dYtZj08HYlEwu3rVwgNcV8u3hnZ2dkcOXwIg95iJNjnTFj7al8QzX47gEnsicLbouiiVPqgVHoT5qfAOzLEVuDMWUlJo9FQVl5Obl4ea9ZvsFXqFInFpCQn0a0VVTqbJG0yGePGP2jr7/Vr11j13UoMBgNeUilD+vSkfULCfVGC+bm9J87ty5SW2hSu9rvfylr3G676lxQTTtLzz7H/4CHe/3wZc6dPITgo0GEfvV7PyrUbGdS/D+3j27qdiKxjkHHlAgcPHSE0NISZ06c5PFPJcZGtUuYqLStj5iMLuXb1Gtv2HiIppYPtN4fVVi8pMrm/zRgBKK2oYu+J89Sq1SD1Bqk3Zk+5Q06PrqFGIVpjwx8ao+U9k8pkyBXeKJRKghXeyIJCCQ/wRa7wRq5QIJPLHbwjer2eqsoKSgoLuHJsDxp1wypmVGwbUrp0w9fPcfycjWz7lelghZdDErW9ES9O7UlUqmVuri7Oo/DGcQxaS/Gs0HaphMSnkN+EV+N+kISWFmGzR0sN/3slCP9JuCqW5u8fwONLnubsxUt89/mHDBnzIDFt2+Evk9gkRwVBYPfWzYRFRNKt1wPNXnteXh7bt25F5CllwKjxBAQ2vLMxsXGNZFPBEnIEjcOftBoNf3vleXb+uInPVqxhzKhR+Eg9LO9neRYSwHqE3D8UeSIEVJXgldCZqqAkfti8k7LSesPf9k23/teSMyERjIj1akR6S8icqbwAQRDwUPohk3qhVMhQeitQBkWj0NYRIpfiFxWLt1yGQiZ1yIfTFudTnpdNcVUNF/NKqMgrgzxLQdwgsUD3NhFE+DvmHShCA1CENyYSrqosq0sqbUZ9z4hgenZqh7qonHK1lsPXsqmqFy2J91XSxSwjIKqhDZe5CS5UkFzBXFXSYlWk+wGFfwi1dXX4KBvnYrjKTbChnuwBSNqk/ow9/B/uF/5PEwWwJEPOmTqRqqpqli77mpSuPRg4yOIuO3zoELdu3mDhrJls+GEzCrmcGdOmujRA9+zexe3btxkwcCBPPf1Mq/tRV1fHmdOnyMnOxmw2YzSZ+GHjRvz9/flx+06C5K5vhdUosiZSnzh+DJPJRGxcHNOmz7CpMjWHllSabs7wksvlxERHExMdbStOpxVL8TSouXnrFps2/4harUIQBPr17UOn+jLt7q6pJRCJRKR27EiPDu0BqNILnD55kp0HjuLhIebBiRNpExrYTCuN8Z+uA+FK8vI/3aem0Nw9Gz50CIO7d2DFmg34+fkybeJ4BEUA1y+cZue+gyycPYMjJ0+z//AxHp3zMBK/xhOatZZJamoHnls4s3589KDRO5ALd+Ok1+s5d+ECN2+lYzIaEQTYc/Aw2dnZ7Dx0DP/waJux4woyCeQWFLFn7160Oj0hgX6M6tiG4DaWqtIogxzc5dYxcTak7NFqY9VLTpAyinYxUfTt3cvWpiAI5OVkceXkYUusOdCufRIPDBjUqAl7I9PeqLMnDc6I8E8gOcmSk5dfrqLkzjWu7l6HIJiJ7tyHwGhL8ro1Ibo5ktAc7AlCS8KJoHVjGRkVTX5eLlHR966o1ZK6Aj8VzkpF4H48klM7ERafzIEdP3Lj3Anmzp2H0svTUnx01UqGjJtISVERyz/7iCmz5uLnH9BozLIyM9m+fRtRkVHMeORRtIKYKq3RwTvQFCrUes5cuMTdm1eRi8zIJSJuXb7E0f17WL7+R3r26WertouXFIXCHzEWQ8NqHNZ4KtiVpaHizgXMsgwGDhmGMtgxTNDab+v423v8AFsYkku4iLm3hwyICosirKyIzl0cf8u/m8H5jBz23C0EIMRXyZSxIxCJRMgTHRODxf6hjRKFdSWlDsa81UuhCA9CAUxRWN4RQRDIqKxld2EZ+vIyuifF0TsugqbgKpTKGa4Sl43UexXsvKNNQaypavSNc/XNHTigH0dOnGb8qOEN52/OG+HkETJm3X+y4OWndEm4WgsPaetyXP8v4/906JEV9g/50XNpnDxxHKlURsdOnRjer5ftt2t3c/lxy2YGDxlCh9SOyGQyiooKWbNqFSNHjSbVjeGblZXFuTNnUKks4Qb2Y2quT9j1Virp3fsB2sbHs+WHH1j+9Vd4K735+psVNmPf+WWsM3tw8cIFLl28gCAIJKd0oF///m71wlszDi0lCk3Jh7r7TSuWsmP7NvQ6PQ9NnkxNcR5ymQwv/5Z7TNz1zf6cBoOBTRs3UFVZxdjx44mNjW2xsf2fLBr32RdLefKJxfelrX9X6FFLnhfrRH67sJIftmzB18eHwMBAZowdatunorKKz5evZGDf3nTp2AFfHx9UKjXLV62lQ1Iiwwb1d9mv8opK9p++RE1tre2dsqH+nZN4etKzezc6pKRw/OQpln+7guvXrvLj5h/wj4h1KQEpCALn065y8/wJTJVFxAQoGNmvJ/J61SNjWZGD695etcl+XO5HNenW4sK5s6RdPM+Cx5+gqqoSwWwmMCi40X6uVoKddffdEQhBEDi8ZzdleZnEd+1DREKK21yIlqgc2XsUWksWWkMUVq/8lklTpyNvoYfTFf4doUfW++DKk2CF9brtiWhlRQW7Nq5B4a3AZDIxd8FjqOt/1uv1fLfsc+LbJ9Gpa3eCQkIwmUzs3rQWmUzG7JkzUBkEavUm0svVlKn1BCu80Ou0ZJw5gllTh4dgQurRUEVZYzBhNpsRi8VEtEsmKD6Fotxszu1Yz84tm1i6agNJHTo26nOwxIBYU0Vu+nUOHTpEnUmMf2gEI8dNRBEc7vDeWK/PFUmwwm14ILjU8rcd15KK8k4KPwC5WoE1Ow/ywpOLMFaXotJoCQsKsCxiKIMaHeOKOFjRVGjTDZWGUxl5dIwOZVBynFtvuTuC0BQc8heaSFx22Gb3fXNnN5w+vJ+gwAA6x0c1SRAc7pkTUfBKsMj2SjqNuG+hR/+aMvSDGd2SfmpTzFuxnQO3c/8XesQvlCgcOXyYOxm3bb8lJafQr79rA8MKe0PTZDJRW1ODf0BAo5dAp9Nx/dpVrl+/jk6rRSqTMXPWbJdSntXV1az6/jve/cfblJWVMfeRR5j40CRGjR5j22f9urX8+Q+/55/v/Qu9Ts/GDetJS7vEE08+xaLFTzgoMwmCQG76NU6cOo1Oq8UskdKtRw86d+7iVg1IEASqq6spyM+nrq4Os9mMyWTCw8MDb6U3PkoffH19CQgMRC40GAPOht++vXuYNnkSAH379ef5F19k+IiRrVKOsh9jnU7H5bQ05sx6mJLiYvz8/Xnm2ecYOXo0H3/wAUePHOa71Wvp1bt3i9t2t6ptNBrZtXMHuTm5dEhNZdDgwbYPbUuS1JtSRLrfZMJgMPDNipUseuzRVhe3c4WfiyhcvnKFM+fO2wzywPAoxj84oeG8zfRZEATKKyoIVTR+b0wmEzdv3+HytRvU1j+zc2dMQVlfIdl+UtfrDXy/8xCffr2Ci5evMnf2LHp278aSxYts43f+3FmmPDSBj9//F0pvb7bu2MnWrdtYMncazy2cTYCfr4MnIL+ggGMH9lJdUwNAh6T29OvQDi99jdvrUak15NUaqaypwehpMc4EmQ9KbyVKb2+8/IIIDglBLG6cQGpFzu0b9HvAsjARGxfHb3//B8aNfxCR1LvRvi1JRNXr9RQWFLBw/jwunD+Pj48PUydP4rmnn2T1uvV89MlnfL50GZOmTAFwaZS5S451JhKCIHD82BFy028g8gkmud8wPDwajFpnNSdn2JMGd2QB7h9h+HrpZzy6+Enb365Cadzh55ZHtRKFkqICdu7Yjm/9yqW/t5yJ02e2SjbaUFtJYFBwI2+W1QN148plKivK0el0jJkwidDwCFu4kn0uzcVDuzm3+wdO799F31EP0iU1hSdffBUvL8v9qSwvZ2z/7jz18uu0S0zi5JFDbFj9HQPGTmLhE08RFdvG4fzVVZWkXzhFTVkxMomYdiE+DO7fB0VwVCNybR3v8loNRYUFlJeVIRULmEwmPM06vBXeKJXeKJVKwrwlSA3uFSRLNGZS+gyhuqYWgH+9+UemThxPeAsMbNt3x454mEwmamrrmPfib9l16Dj+vj706t6VN3//OqfPXeCF3/yJP7/+Mq8+96RjG/Xt2JMOV6v9zriaXcCRKxn4KGSMbx+Ft7Th/bgXkmC7NvsiaS0gCy3JJfvis89YvGSJS7vC3SKSPVmAhvyJ/xGF/278okKPjEYjXy/7kq7durPwscdt2w8e2M/KFd8yd94jbpm4vRHo4eHhVuJUKpXSrXsPunXv4bYf2dnZHNi3F209kSgrs8Q3frdiBdHRMYwaPYZLFy8gw8TVC+fIy8vjD7/5NW3bxDFu4iQ++vQzW9JlRXk5Bw8coLKyApFIREJCex6aMRu5XG73shnADDVGEWmXLnH92lWM9YXPRCIRfn7+RERGovRR4iH2QCwWYzKZUKvVlJWWUl1VTWV9uIJEMIIgEBQZQ+/eD7Bh/Xpef/UVh+s7eeI4JpOR5595msFDhvLFsq8QiURcvHCef737LpOnTKVd+wT++dZbnDxxgtDQULQ6LVmZmQwfMYIOqR35/NNPCA0Lo6S4mCVPPc2ixU/w5BOLeP+9dy01HIDg4Marn/awN+CbCn2RSCQ8OGEiAJcvp/HxRx/SoUMHho8Y6dJz4NxWU23fi+ehKQJw6MhRBg8a2OLzO+Pf4QVZv3ETUqmUxxcusG07f/02H334AYufWIJfC7ijSCSy5Py4iFH18PAgNTmR1OREu4nVAHaTbGl5BbsPn6C0ohJPiQceWIyK71atpqCwkCWLF5F59y7FxcXcvp1OdXUNjzz6OIMGDmD04H6c27aKKKUHYEBVksfBs9vJrbA8d1FhIYzr14MAj4bCZdSTBLPZzNXbWVy8cRtNfQ6OWCTGWy4jqm07/H198BALiPwCEQSBOoOB3Px8am7coKy8HL3QoEHv7x9Az969ycrMZOJ4x8rxOdnZbFi3ll+/+ipdu3Xj62++xT8ggMLCAn77+uv06NWLKVOn8sff/55TJ09gNBgICQ0l7dIl+jzQm+FDh/L50i/x8vKisKiIcSOG8sW//sETL73G1OkPk5mTC0CAhx6FyjLPyexWCa1ExN7otjc2nQ32Kq2RKWNGUjJwMKUFeezbuQ7foGCieloIQ4S/jMIqrVvCUFitdelhcA69aUkITK3e1CRZKCosJDQs3G3Y0M8dTtQSXDh5jJzMO8xb8BhisRh/mYTSkmKWfvgeMx95lAA3tYCc75enT0AjkmDdp0P7BGLsCtBZx9ZKErJLKrlw+ADFOZnIlUoCgi0rzyf3bOPi0QNMe+xpFOI6rqVdQCQWU11Vxd9//zoP9O1Hj959+O6HHZiDLcp0lwsruZN2nvy76Si9JCh9/Ujt1Zdew8YS4yu1jbkWqNWZyM7K5OL5c+hVNXgKRkRiMV5eXoRGxxEYFITEQ4JcZEQkUqJWaygsKkZVnkZpWTkmTS1oVZgFMwr/IHp0SkWs9KdT/xGNxuvkyZP85Z/vk5LYno//8Vc6piSh0+l47vU/EBgYwGvPPcUf33qHoyfPkFdQSKcOyRw9eYZOHZKZNH4Mq9b/QHllJdU1tXTv0omN69fx1j/e4eHHniYzKwuAOsGTEk+LEa8MsYRQycw6xAp/xKHt7AhIgyKROwnTzv6hdO7SlfK8LDYev4RYJGLGwO4o5Q1zhH3Ik9Vj4UwiXG138I46QayualK1yBkmkwmx2GJ/aEWN569G4hz2Cko4Gp4tkXP9H/6z+MV4FLp07SpMfGgSj8xfQKiT7CHA8WPHCFR40a2rJeiwpcZXc+E49hAEgTWrvkckFtOrd2/KSssYPaJBfvWFl15myw+b8PX1Iy3tEgCTJk5g/tw5jBk9ykZibueXcHD/PrRaLYGBQQwdNowgF0azzKzjzt1MDh89ikGvR+LpSWr3XqSmdmx1jQj7NrViKdlZWfzq5ZfYs3sXADGxsXTo0IHdu3bx+KLFvPOv93li0eOsXb2KdRs3ERkVxReffUpBfj65Obmkp99iwsSH+Ovf3+Jy2iXmzZ4FwNv/fJerVy/zyquvo1ZZ8hV2bN/GK6++Blg+ML/7za/57JOPiW/Xjn998BHde/RwqOvQWgUqV1i7ZjUDBw0iMjKqUZv3kjR8r9Kp9sfp9Xre/+hjXn35pSZVjprrn/2+99ujEBMdLWzZuI7UDh0a/VZWXs7uPXsbKTa5Q0sKsNlgF2+8+/hZ7uYWMqR3F6SeniSOe8T228yJY7idnU9ldQ0FRUVotToG9O/Hwkfm8fC4YXh5eSFWV1Ged5ftO/dSXadGIZMyYvgQ4iIbfzcASsor2X38LHVqSyJvx/Zt6Z7SHoXcybBtQfVR+3tXXlbGn//0B1Z8841t29Rp09m4YT0dOqRy4sxZ1q1dw+LHHuWZ557n8UWL2bB+HT9s2kRgYCDHjh6hU+fOfPbFl2i1GoYPGQzAF59+zIGDh3ju6acIkFmKua3etIVnFy3Ar76i78oVK3jsV38E4Jt332D0uPEEBQY02V9XcF59txqZAGcuplFeXEBcjwbi25ykqztZ2HuRQ3VHFr7+9AMWPbGkxflbzeF+exSi4toKr735Dr0HNoTkWa/TYDCwbsVy5jzWODTxXpKz3XmOzly4xNGDewlL7YvU25v35jUY2Qmde6Dw9SPn5lUCAwO5m36TyOhYFj/1NDNmz8XX1w+ll5i7JdWs27qDq7ezEEskxKV2J7RNeyL9G8Y9WOFFqLcXniYt544coLzMYsDGxrVlYN/eLr36VrgNObL7VtSp1Ly/did/+tdntm2PPTyZr9b+AID61hmu3b5DrwdnkZyYwL5Nqzl47CTPvv57xo8dy7oNG5HJZGzdtIGQkBBmzp3HlavX+Off/8a5CxeYNmUy3bt1RafTsXX7DoaPnUBC+/bU6c2cOXWCKeNGAbDkV79j7NSHCQ231LywJppbFZvsr8F2HeAyz8LecK6uU7Nm2x4WjennkKjcWqLQXAVmwGXolivPglYs5fvvVjJo8BBiYmJceujckfFG6nL13gXZ0Ln/8yj8F+MXQxQio6KEM+cvOhiU9tDr9WxctYKFjzTIdbWGLDS377NPP8nKb7+17C+T4e/vj1QmIzY2DoW3gt07d5LSoQM3rl8nIiKS79esISE63KZkJAgCm3/cSlFREWGxbRk6bLjbiSw/P4/9ey0ei8S4aIYOGYxU2vSqemtgNpsJ9G2sVCCTyfDy8sI/IACNWkNQUBA3b94gKSmZiooKyspKWbdxE0OGDmPH9u307NWTqKhoAAoLCzh14iSTp061tXf40CGys7OY98h8B09PVVUVX37xOW++8Rfbtt/94Y+88upr91zPwhk3rl+nsrLSISTN/j7fq8rQT1nR/+LLZUybMoWgelWgloYeNZUncr+JQsfUVOH8Kfe5QEuXfcXixx9rUVuuiILL2OJ6fLJsJc9/8K3t77AAi6JJZHgoIQF+/HjwBAltYqiorKaiuoZtyz+me8cUgmPjbe0ePnWOK2mX8PcQGP1AF/xMKpeTZGV1LTuOnKaqto6QQD/GDOiNr7JxCBDQrKveOV/BigfHjuHY0SMO27y9vRGJRAQEBlJZUUG/gYPZs3M7AH5+/mi1Gn73hz/yzHPPc/DAfsLCwm25UWq1mvVr17Bo3ixbKOLNS2fZtf8gTz823yZXLFZXYTQa+eL7DTz/p7dt5542biRrPvlHkyuHLalzYTUMqjR6Nq5eyahpc4GGcCXnfAd78uAuBMmK1qgguTKcD+/ZTmxcHJ06dXZ5zL3gfhOFNgmJwpr9p9zmJ6z+ZhmzFjze6Lh7JQr2dRounz7O7x+dZvtd4ReAl0yBX0AAwVGxpB3dj0Lpi6eXF+VF+cx97a8MGzOepLho2zNXnnOH44cPUIcXsoQe+IU4Gp7We+zrYSbjzBFKiwsJ9vNlwLARhISGNar14C7009nAdpXA/IePlvO3pd87bFN6KzCbzQT4+VJVU8vQvr3Ytt/yHvr7+SISiRgzejTLv/yCc+cvoNFqGFg/TwiCwLfffc+UhybiW0+6S0pL+fqbb3n80YUoQyIdDONVq1fz6tOLbH8HhYTx4+mrNi+Rc76F87XZX5/tbycS8cW6rTw2rBfOaEkok0O7TRRmcxWW5JyPZcW56+lkZWbavPjuQvmaIwv/Iwq/HPxiQo/CwsLckgQAX4lgk+u0oiXVeJv6/dTJk9y8cR2z2YxO1zD5XbxylQi7apn2KC0pQSaX4+PjYzt/eXkFX3/7LQ9NeJDJD010ec7a2lp27dxBbVkJUVGRPDJjCjJZw6Rqv7/JZCI3N5eszLvodDrMZjNms5ng4BDatm1LSGhok9KhYrGYvQcOcfPmDc6dOUP/gQNReis5dOggudnZ7NxpqW6alJzMu088wcsvvsDFy1eJiY21JVI/5FTCPSIi0kYSCgsL2LZhHR07prJ43iwQ9CDYlWv39+dXr73Or1573fK3UsFf//JnfvfKC2773FJYCUBcmzZcunTRgSg4G+b3UpCuKaO9KZw5e474+HgbSWhNG//OpGup1PXKrhUig8YlAXCeTJokCXaT/fULFziSdhOj0UR+eSVikQizILD3/d8xsEuyw/GSDy3Esrq2Dr3BSEigPyBAyR10ej1L12+nS1I7loy2FNqyTqQ2hQ3vQLb/uIPsojL8fRSM7dONkLbtGl+kMghBECgoLiUjK4c6teUbIJjN+Pr60DapA1EyX8RisUuSYJ04//L2u9y8fo0jhw7SvWcvwsIjOHf6JCUlxaz9fiUAe3Zu57v1m5k7fRIfLf2aQUOHIZFIUBkEhg13DKVQKBTMX/goYrOO2tpa1qzfQIC/Py891bD6bB1jiUTC0/Nn8vT8mVBXTvigqWzYsRdBEJpM7HRXGMmaEmyW+yOTWMOXZEjFEOMrpVZvsunph3p7OZCGCD+ZS0+DNYnWHs7GM7QsHAmguKiIstJSh1waZzT1Lv275ImdE6yt4VfW65RKZbb8OCvcGZyu4Gy4VZaXsX3rj1Sq1IAIv6AQqstLmfj8n+g9weIJdg4LM+i01FZVEhgWgQDcLFcjCAJX9/+Il1ROv8mPcLWottG5zWYzty6cpjI7nSAfb/oOGU5ohEXq2tX9yyksoTD7LtXVVZhMloRpuVxOmzZtaR8dZvOcu1M5emLGBDpFBnHwwjWSYiNJ7JDMtYws8gpL+Xj1ZgC27T/Cjm8/ZcZTr/CrJ+bz0gvPIxaLEYCePbo7tCcSiZg5/7H6Mahjw6YfqKur45UXX8Do1XghYfasWUyYOgOAV558jO0/bEBdV4fS19emJuUvk7gID2uICFB6N3g6ZWZdg7Sowh+xugqRTNnIC2AsK7KFILmSRG2ORDgnX1v9TRKwkQX7b4G1T9UG2LdnDy+89DLQOhEHexUx2zXyCzJC/z/GL+Yemc3uH0jbyoOHByqVCm9v70a/38sk8N3Kb/luxQoAEpOSeP03v+WpZ561rTS4Qkhow0urFUu5du4Up8+c5flnnrYlhtlDo9Hw/coVyORyJo0Z4VDLwdqGIAhcunCes2fOIBaLkUgkxMTG0rZtPNJ6jWiRSERpaSmnT5+irLQUjVZLSkoKQ4YOc0kaevXuTVFRId9+s5xvv1nu8lqGjxjBY4sW8+jji1pcs+DWpXOcPX+eJYsfbxQe5XwfMu/eJSc7G4BZD89ost2WhObYE4D029dRKBp/2FtjdDf33LQ0f+FS2mXSLl9m0WOP3nNf/hsg1lQRFRFORmYWCW3bNPqtSe1sK+wme2NZEYcv3eDZf1mevzB/H556cCDPTRxCdLB/o0nQOrl51/+zqmfklVWy6tB5Fo3pR1B04/hdz+Ag1h65QLVay9ihAxjfz9E4sCIjJ5/9F29hMpnxUPgQERZKu7ZtaKv0RqKrRSwWU1VTy5XrN9m9/xBanY7Q6DZMmjgBvKSNJs3E5BSMRiMvPfska7771uU5R46fQI+BQ7leWGUpICdpWG11J89ZXKvly48/5flnnrIsnrgb77pyCkvLyS8po6yyGn8fJeaa0lYlywKI7e6ZuN6IUAIFdQZkZh3BEgNKL8t7Yk2UdSYNztKszVVndiUbajW6XKG6tIBNq7/jpVd+ZdvW2verpQtL9xNWsmR/ve279uLEkYMMHTW2maObhtU4vXIznU/+ZBkXT6mMdv1GM2b8HDrVh+m6yh3xlMoIDGuQ68wqKufkDyvpPHQ8vhExLklC+pkjlObcpfeAgfSb/ShhShcLLVVl7DuwB61Gg4eHB0FBwcQntCM6xuKxEIvFGGuryMy8zakjB9DXViIXmXh4whicfeDGsiLCPGBQu1Be/WQlS3/c73Ic2reJZUCvrlReOYZIJMJc//y7iqWwlyP/+z/e4fFHFxDtL8cskeA67R8EbR3ZmZncvn7V0oZWjdrDdVK/KyJsX1W7DicCIZJRVqdrWOmvfxetHgF3dRNchSnZf0+diYTDt9ZJRcpKGKqNHnz4+TIeX9SwMNGa6t//DblB/8O94RcTeiRXKISiUje6yVg+8rW1tXz1zbe88KzrOgdNhXq4mhxUKhX79u7mrTf/hkar4dDR4/j7+7e4z8eOHqW0pIRZkx90ea5DBw9w/fp15sydZ0tutu+bWq3mu41b0Kg1dO3WjV69e7tVP3KFq1evcOjgQTp17MTgoUMb/X75choLH5lHVFQ03bp3R6vVotVoHIjDqrXrbMXPmoPMrOOzL5ayZHHzxOLy7Sx69+hGXJs2/PpXL7Ng3twWX1dzOHvuPDdu3eKRObOBlof4NIfWVvauq6tj9dp1hIeHM2H8uJ90brfnvd+qR106Caf2bnXYZpb724x/QRB4+4NPeeWZJxrJ9Np7Fdx6FJyIgslkZu/Zy7yzehsXb93l2DsvkhTdsMLW3GrZ7fwSdhw5x+KhPRGLHZ85dUkl14vKOVZQyuyxA4kJCWjkfjeZTPyw7xiFNVoS2sYybOToFuf/mOX+5OblsWHrLnwDg5k4ZZrtubcaaZrKMh6bOxOTyUjf/gPRGk1o1CrWrfzG1s6zr/6W117/tctzuJpc161dw/hhgx28U67inyuqqgntNgSAXy+azZ+fWeD2+9FSdRbr+OWWlLPh1FVemj8Nj/qaGM41Jpor1OWsrOQK7iRUrSvsRqORfds2o1armPvIfNv1/ZR33fk9v9+hR4mpnYQVOw4DjcfAer0/rvySh6bPxM/fklfSEo+CO1WrEpWeE8ePsWPVcq4c2sH8t76ifc8BLgmCPaxeoMzcYq7uXkvXCY8gkTY+xttYzaV9W0jo0Z/I9qlE+MlsuQlQXwPo3HFy0m8SFx3JyNGjCVa07B0Ta6qoKcpl/bY9oKtj/qTReNm9n8ayIvQGI3N//y43CkoZ1aszXp4SatValtlVvx4xoA+7Vn7mNpwGHKWOL1+6iIfZwODe3Rx+s/5uhVqlYuLoYdy8fo2HZ8/jV2+8hcFDRolK79Jj5kqG2J0KmKdJy5pln/H8c88SUr/dFrID7utI0PIEYeu77jaHod67uuv0ZW6k3+bxJ55CrHQUgnFWr4KWvX/WazFmXftf6NF/OX4xRCE4OES4k53j9nfrg3n12jUupV1h7uyWJVwWFhWx4rvviY2JYcykacjlcq5evcKAPg847BcdHc3+w0cIC3N0Abpb6d6/by86nc6lka3T6fhy6Rf07duXHj0bxx7qdDo2rF+HRq1m2vQZbhWaWoqTJ06QkXG7SVUoK/R6PYcOHmTG1MmApchaYRMEzR6eBjXLvl7OE4sc42u1Wi0HDh7i8NFjpF25QllZGYWFRcyZNZN//P3Ne7soNzh89BjFxcXMmDa1+Z2t/bsHItGUlKpOp2Ptho1oNRpmzpjepAfqp0Cn0+EXEn5fjZjunTsKp/dta3Kf0rJyvl2znpeffsL2PLmaeK3Gq0aj5bPPv8DPR8mUQd0I8vejuraOoH6THPZXSL3Y9cZT9GxvUVJxtSpmha6klGv5JZy5k8+MpMa644IgsO7iLQIUMkYlt0ERGuCQ2Gc2m9lx5S6ZeUVMeWgCcdGRrVL9cDaIszLvsmPrFmY+9mSzREOv15OTlcmEQQ3SwHkVjat1uzMKv/jsM5548kmH59VsNnPy0F72HznOhbQrlJWWcDszh2H9e7Py/b8hMzS078qIcPbCNKX5XiCY2XPlDs/PHGtZBbbXaYcWF6ZzJ80Kza+8ms1mjuzdQXZ2NpMmT7blSrX0HbY+m00ZjGDL57qv71i75A7C97uP2f62JwvW61WIzSz7+H0effJZQvwa1tKdnwnrmAqCwMrly1BpDQwZOZrouDYAdGsbgVajRuLphdFgOc+Sv31Cr5EPOhiorvJKCqu0ZGTnkXP0RxJGz0EscXyuowMUZF04irqyjKGTZiCuX6m3JwqXzpzk7tWLDBs6lL69urtM7HUH6wKFdYGhsrqWT1Zv4elZDxHg1xCG7Op51huM1Hl5Ezlkum1b3pm9BCc33EZX33DreC7/8nMWPP4EPtIG75sgCFy5cpmD+/dz8vRpiguLuJORTvuUVD5f9g0RkZG2nBArUXCF5hL+AXwEDQc3rmT240/RKdoidGJNjganOH+HC3A9V7tSPGqKTFj3PXbhCmdu5TByYF9Su/dym49lRXO5F/ZETaypQlxyB33GZRSTX/ofUfgvxi8m9Cg6pukKm9YwkI6pqVTX1LBs+TfMnTXTIc7fGcdPnuTsufO88uILVFRWsnHVCryUfsTExDJk6DBOnjiOrj7v4cqNW81W0rWGqhw8YHGBuiIJKpWKTz76kMVLnnTwTliPTUu7xPFjx3j44ZkulZCs2LJ5M+VlpYhEIoKCg5n40CS3+/bt14/g4GC+Xf41Cx51n4h66OABJk1o6HOfvv2YOGkSg/r3ZdnX3xASEoKvn5/L0AWZWce5S2lERUWi0WjIyc3l7t1MLl2+wudLv6R9+wSGDx3Ky88/R0BAAJ07dXQZinWvSL99mx27dtOlc+cWkwR3MqktzRtwPl4j8mL7xrWUlJQyfdoUQpqRf20tyssr8Pe3jP/Va9d45vkX72v7AKIWeKxCgoOYOmE8//zocx6fN4vAAH+H0CMrzHJ/0i+fZ9PWHTw/dxpisZgftmyhorqWsQN7M3XkIA6cOk9lrUW2tHT7Mjw8HM/vroDRzYIyTl++w8weDXkM6iLLJCkIAl9evMWYdtHE1htZVsNXGhpCYXkl3x25yPTRg5n00EMWo5bGHpHDx09xK+MOIpEIsUjEY/NmuVUMatM2ngdnzOXrTz/g4SdecDt2pcWFTHygoTBVSFg4r//uj4wa1Jc/vvkWqZ06I5crCPJxLXRQXFGDRqO21FDIyybjzh0yMjL49IsvkcmkjBk6iMfnzSI0OJjObcJRetfHw9cTheZIgnWcrGNpjxKVhj138wmQSZmeEE319QwAFKH1Cit2q5OS4HBbmJKinjQ05DY4SrM2VS3bCnuScPzoYTJuXGXMmLG2hEpoPUmw/r/9Pa2trcXoZYmTLyjI57evv96iNlsD5++efU6H/T7zFz/Jd198xLSZs4mJjWvUjtWovZtXwKbVK3lwygzCIiI5tHcXmzf/wPBxDzF60jSOH9pPWWE+AG+s20dk2/Y2kmBPxKyGrZUk3M0r4ubeH+gyeQEiceNv/olt61GGx9J5+GSKaw1E+HvYvBQGvZ5vv/mEwUOG8PwLL7pV/7ly/SbHT5/Fw8MDTXUFT86d4TZPyseg4qWHhvDe6i28NH+aTZXMOTHXXFVCwNRXMNmFK3/9zp+Z9fxvmTvvEUZPmIyHRIKPT2Nj12qI11SUYTKZSM8sICvzDqUFuaz4ZjmFBfmMHzOG6VOnERQeRXB0G4LqBUta8hxbSYJ90UJrtXMAg0ZF4cVDmPQ6+j04i/QqI7VClYOHxpIk7Umw3N/B2ytWVzUKUbLC2UtAXbltm6tvQtrZs+y/nkXfLqm8tKheda6elJjl/o3mP3cE0Nn7Ia4rR+/lS111DYGeZqpys/jbCkcP9k+F1FfhUMX6XiH+X2VmG34xRKGFIfIA9O/bl8T27Vm5ajWC2YyHRELXzp0Ri8Vk3LlDVVUVGo2WPg/0toUphQQH8/jCBWzYvhudTsvmrduoqqzkvXff4cP3/4UgCI2IgqsY9erqajJu32bRE0tc9m3L5h9YtPiJRiFM1lyEI4cP8+xzzzd7jZUV5Tz6+CIEQWDZ0i+a3b99YmIjBRZndOiQStdu3aiuriYhIYH8/ALOnj5NRXk5QwcNQKVS0X/AQJ58+mnatUugfWKiLfyksKiIi2lpvPzq65jNZmKio0lo146EdvFs27yRTm6qWv9UXLt+nT379pOaksKzTz3Zqvhrd/UV7qV2glqtZunnnzF53CiSEhNbdWxzBKWgoID4ZEuZ+759HmDYkCG8+dbbLvf9d0CsrqJdiA/PPL6Ajdt2oNFYJr3k9u0ICgwk424WJWVl6HQ64tvE8esXn8FDUw3A3AkjOX35Bqcv32DNu79Hpzewav1mFr+9lKyiEtpFuZHus4PJbGbn5du8MKYPmtIq23ZFeBDqonLOFZbRNzrURhIAB4/C+gOn+NWiR5D4h7oNRTDL/Um/c5fF8+cA8PnylS5Jgv0qeUBgIJ7efi6/FVYEBIUwZOQYbl67Qnz7RFS11ezYuhmT0ciiebOpqakmODiEd9//gNjYGFI6pNoWO4oraji4bw8f/Os93vjznwgLCyOhfSKxcbF88N47DB08yEJq7CZrq6kkBptx0Frd8lKVlh/Ts4lQKpiW0hZZfR6FlUyoi8otY19SaZmgS0qR1sc8S4LDEdeVI673MljTeO111a35DfZwRSK8JSJWLl9Gpw4pPP3Ms7btroo7NVUwyhliTRUasdym3pPYPoGHJk7gn+/+q8Vt/BzwVvqw4JmXOLl/Fwf37QGgfXwb4uLacDMjk4L8PPR6HTIffxY++RxeXpaE6J5DxxDfqQfb1n3PvFffYMFv/s6lE4f58xOzURVkEZyaajuHu/CvCH8ZF3/czZhHFiNxcX/UVeWo/bxJ7PmAbX976dsDW9YxYcYc4mMaRD9cfVcvXr7KwtkzkEqlfL58JV71Sb4OqmIKf8T1z64E6NctlbziMhLbRNv2sTd6xf6hPDttDKv3nySpbQx4ePLV+q14eXrx4iuvon7KMud//+1ywsPD6JSaavP6ms1mjh4/wdrVq3jvnX8SEBBA+4R2xERH89Six5g2ZbJtjrEPr7OHj5dHo1yaMrW+EUmwEoTySg0mvYbiszvx8JKT0H84Xt5+FNYZ8PCsP8auDomVNNTKJEQoPR3eJSuaWu4xK/wdfrf21Ppd2HzkLCa5kpfmT2907E+B6uZFhv3uM87fuktwgD8PTxjNJyvW3tdz/A8/D34xRMEeGo2G8vJyjAYDer2eyKgolEqlw4coJDiYRY8uBCza1GmXr2A0GhkxbBgBAf4u21XjSY+ePW2KRqOGDyMj4zYbN29xG9trf06NyIuvl33Ek0+7zpEwmUzUVNcQEBjo8vfdu3YyatToFo8DQFZmJm3j41t1jBXOyXuhYWFYq1+Dxfhd/vVXLF+xEpPJxOFDB1m/bh3frVzB7fR0cnNy8PHxReGtIDfHEhb2xacf8+C4saz8fhVdOndm6OBBzfbjXgxzk8nEiu9XERgQwIvPPdv8AS2A/SpJa/JZbqens23rjzy7aCFKZWPZ2ZbC1ThMnzWHrdt32P4uKSnlzbfeZvCggRw+cvSez9UcjEYjRSWlGAxG9AY9wYGBBAUGOLi6leiY/+BwwDLB3sjIpLyqigd6diMsJNhitKqroJ4kAAjegUSFBtO7UzIikYjFf3yXVdv389GLCxuRBFex8tLQEL7YsIeZfToiEokarRwpQgPILKngqRG9HY4By0p3Rl4R7RITkbhJAnQ4v6ccs9zfUtxQZrmvzgQBHI1Zhbc3GrUKhbfjc9BgOEj4bGXD5Kj0FPPxv97h6+/XIRaLuXM9jZXffsu6NavJysriTsZtm4qa9R17/pXXeOr5l/hh/RrCggJ5aPJkxGIx1ifHleFg6ZxFRcW52JFVPcU6TvZhR/szCyjXaFnQJREPcWPyU1dY7fC3I2loIAzYhz4ogxyeI4WLkC+Z3N/B+1BRXsbH33zNtJlzSGzb4F12F+rQVGiRM95870P+/HYDKfD39+ef7/6LiQ+O58dt25s9/l7hJ/WgtLiI8loNBoMeFZ6Exls8B9bEbYlEwsDRD+Lj5YEgCFQU5ZGTnU1SSgpDho9ALBY3KpRXpTViNpuYvfgZKnRmNn39Kd+++wZTHn2a3sPGuOyLc5hM+pnDdOrVh5hQv0b7FlZpuXNqH8OmzELi5B0JVnihVavxNOkIDLG8Y9b+Kb3ElvfHTuVH6+WD1icCk6cngqccU3Bb18II9avgKIMIjoylTK0m0Vm22I4Iv/P7l3jn99jC4D5Z9g1zpk8h0NNMRkkNS1d8z/p1a8kvKOTazVt4SiT4+fmSk1cAwNSJ47hyZDdbd++jpqaGOdOnIJfLQN+QxC2T+4NX4+8BWMhCYpDCFoZk9eBYyYI9SajNuUFN1lU6jJ6GRGah0tEBCvIq1bZ/0QEKCqu0lsKG9aQhWOFFldaLlGC5g1oSNP/cO3gi6rcZdXo+W/Mjg3t1oXuH9o2PsQsndEaTc3hdOetWrmT2P75F5mn5+nRoF8snK9Yyffwo1m/f02Rf/4f/PH4xROHK5StsXL+eqdOn8+nHH9Gpc2c8PT2RSDw5deokapWa4SNG0N7Vaq5USsdeFsnEpnT602/coE8vS0Xm4OAQjCYj6XcyCQ5punS61XjYuG4dEyY+5Dbcacf2bYwZ5zqp1Ww2c/v2bcaMdfzdnRJHnUqFVqtl186dPLJgQZP9s8I+H8WhaJcbdR+FQkGPHj05fOgQg4cMYdjwEQ6SjXq9nqrKSlQqFWHh4SjsZP+WPP8yFy+c5x8ffsqwESPo2LFTk31rjdJIcXER361Ywaw5c4iMjMI54vN+qgk11S+VSsWuHTsQBIHXX3imxcpQTbWvFUvJuXWVrdt3cOToMa5eu2777U+//y2v/6qhinZFRSWRbe6NJLpDXkEhAEu//Z64mGi8vDzx8vTiQtpVyovy6dGpA/17dm10nFgsJjXRTmpUU91oHwCDwUibkRZJRpnUC0EQOLn6Y3p1tIQQNbfafepmJgkJcUT4N8Qo2xcbupVXTEpSW4dt9jH0O7Yf5cWnnmjyHFbodXpUKhXHjp+gZ/fuzZKEKq0RP/9AqisqUHgrm5XztK6aT314NutXf8/jjy6ga7fudO3WoMpkNBqprqqitrYWT6Uffn7+tt/mLniM3Jxs/vX+h6R26sSAwfWCBU4rwM5GhG3Jw86wsq/2qggNQGsw8vne0wyICWd4W0cpaHtyoCpW44y6wmqUEX71pKGeMISGoLcjDfZwVQBKrAxCofBHr9dz8dxVbtzJ4snnXiTAu+mCXOAYC+3Ou1BSWsb6des4kXaD0+cv2raPHT2KTevW2N5ltVpNYHhUo+N/CnLu3sFfJmHPti0YjUbEch88PT3JKynjxJ5ttI9vy6BR4xrlcPh4eRAUEUNcXFyTspT+Mgl9ezd4DTw8PHjvi+X0Hd0QpmXvSXAmCVJtJX6mOkYMm9Do98JqLUFSMwFKmQNJsE+MPrxtI5OnWlaj3cmDWlGpMZCeX4aHSYegsJBDV0TXfhU8IDKWzLQrDl4H+7Abe4lP6z6Lpo7lo6++5pU5D5KgEPGPJQ0qe2azmepaFdV1KhQyKSGx7Sz3X9Ayc9QAKqqq+eabbwgJCmDq9Bm2Z0OsqUKBo2QwNDyXSi+p7R135bkRBIHCU1sJjY1jwILGEQhWsgA4/NeeNFjH3Vr9uiUKjzY1Ne8wZGYdRqkvl88cZ9/hYzw5bzZ+4sZ9bYokOMue2uemrVmziTPHj3HwzCUAtAYj/goZP775AsrIWFAG8f2Hf8erXY8m+/w//GfxiyEKJpORqGiLqzEsPJzsrCw6de5Cz169iImJYfMPmzCZmo8RdPUSvf33v/HZp5+QmtqRTp07c+XyZeY+8ggv/+rVJms32EMQBCoqyklo35iJW6FSqZpUTdJptWi12ibzKqwYMWIk69etpfcDvRvJwbpCVWUldXWNEyabQ5++fflh40Y2rl/P5KlTHTwrXl5eDlWynRO7u3XvQddu3dmxfRsZ6beZNGVKq8/vCuvWrOHFl19pkZentXD3odVoNBw7eoSc7GzbRCGTy+k/YCBxcXHo+OkEJS8vj53bt/Grl19y+fuqNesciEJg4E+Pw3SGrD4+OC4mmqycXNq1bUPvB7qi0Wr57rvvMBjdJ6A2ha17DzHr2dfpnJLIyIF92Xv0JKMG9ePT3zxFeLBrD5srXLybx5PjBjbabiUDqqJagiPktrCXRtfnE0BRaRkRoSHNJi8/NPFBNm3+kYiIcJK7WUQHXK0c2lZMJZB18wrDhw/Dy0viUFiqqfjlyKgo4tq25dPPv+DRBfMd3n+JREJQcDBBwcEuqyT7h0cze/HTXDp/ls8/+4zZjy6i0WfdjjjI7OKaXYUjSUND0JWUsuFSOguG9sRfLm2Ur6CM8GvkSWgpXHmJ9PXbVIXFnM3M52ZBGYIg4Onrg8RDTN9hIxg7dRhmqjCb/QE3Vefnu6sAAQAASURBVG7t4LzNauRUVFRy+swZJs9wLXaxc/ceB8KvcKp5cD9grY8QHhnNpfNn8A6E3gOGEJ4iZv/mtej1jQ01K2nw8fJwSxKyblxhzrRJhIZHMGjkWI7s3UlIeASfrN5Cp5SkJpPH7ZFx6iBjHm6ohm6f9Bys8CK3xECQn3ejKtvWGPrYyHCqCrKIDm0gvM6hZNa+PDB8PPsP7MdLKmX0mAmWa/Ny7c21vq8b165h+rQpDl4HGzG0Iwz277dMKmVi/668s3wdj04ZQ5B/g6dELBYT4OfTkCCtqmjwYACBEnh66kgyK7X88933eG7hbBROxVLdGdFKL7FtwSDU24tghRcRfjIi/GWknzlMz3796NTVfXHACH8ZhVVahzwGe7IAlvG3LUo4yTQ7f3cEQeDmtStcTbuIZ31gokwipnNyAi+/+joe2mrM1nG0y3Mw13v4wPG+WEmC/TYVUi6mpTHMjbxvlVpLRY0KZf36gznk/i52/Q/3H78Y1aPomBhhz/4DNnULqwLBuTNnCAwM4qHJk6ksyOaNv73FP97/qMUShwDffvEJz7/coL99+twFkpKTmziiMdJv3aKwoMClDKkVlRUV7N27hxkPu56kampqWP7VMp574cV7Wp12B4PBwPvvvcvzL750zwnEWVlZbN60kdFjxpLSoUOj35szkk+fOUtGbiFTp/+0uMfLl9MoLytj6LDhze6bdeMyYpGYwqIiBg7o32JpWesHsbi4iH1796JWqZDJ5QwcOIi4Nm2avDetJQs6nY6VGzazZtUqtzkk//jbmzzz1JJG/deKpfddujE1JUm4eGiX7RozMrM4euI0ALOnTUIsFvPk8y/zj9+8SHAriMqR0+cZNrNBDevw+uX0T3YUKGjOm6DTG/huzzEee9DxHbMnBIIg8OnqLTy92HXSvkHqw9sffMpLTy1GJpO2KDSlKXUUeyz77BMmT59BULB7D2RThKG6qpIf1q4iJbUTDwxoHLLXnKFXlJ/HwZ0/MvOxJwmQO37/3FXDdSW3WJp5h0279rNwZB9b8jg4hiRZyUNBrZoqrR61wUDH0EBb/oIivD6RuT40zN7DY99mcU4xB2/nUKHWYqxVk+Qhpb2fEnH986eM8CO4cwLyxFTLfXYRbuKywqztYi3yjpsPn2XL3kN8t2q1y7F7+YXn+O3rr7kkBvdbgjgxOUXYtP+4Lb/rbm4BZ48fpqC0gkHjJtEuKoyP/vZHxkyaTvsOjrldTXmpKgtzGdqnh02A4/k3P2DoQ9Mb1TNoTpZ2+6rljJ+90GWVbCvWf7OU6QsWO2yz79v3Xy1l8uTJhIU3JuvuVK/sKxkDjQxQgPUbN9EmOdVWedtVfoorWJ9xfWURK7bswd9HydRRg2zfOVfPkPP3SBIcTp1awwcrN/Lyghm2RRV7lS933wpnz6PZbGbZZx8zacGSJiVTy9R67uQUUlGYC2IRemkQ8XENHr4IPxkdQpSNxg4axlmv07F3/34K83IQiUQkJKcS0r4TknobKdTbixhfS79dJZ1br6uwzuCyOniwxABYxGF27t7DO++932gfgOm9U3l7yXQi2yYgaZPqMGb3ax4TiUTPfbpg/Aez+v70yuzTP1rLvqt3/6d6xC+IKPj5+ws11dXMnjuXo0eO8NzzLzgkDMvMOj78+FOmT5vClh+3smCJ6zwBezh/ZGYvXIS/vz/vffBhq/v37fKvmTl7DlJp026/pZ9/xuIlT7r9/e6dO5w8eYI5c+e1ug+uYDQa+fjDD3hk/gIiAxripu+lqJAgCOzcsZ3cnFxmz51r87a01Dg+ceoUBQWFPDitZdK1rvDRhx/wzLPPNUukZkydzJ7du21///DjVsYOGdBs+2Xl5WzfuQu1SkVoaCijR45A4hvU5DGuwsNaMibLln/DH/70F5KSEklJ7cTXXy2jX/8BPL5oMdXVVQBIBCNisZiZ06c5eI5sVa7vM1EQiUTCiMEDKC2voHf3rnzyT0f52pXrNjJ0QD++W7eJV5970kZemqr2C/WhA+oq/v7JV+w4eJSj37xr+60lMn0A+09dIDosxJKgCI2Nxnp8unYrix6Z7TKx3Sz3p6amhqVffc3LLzyPSCRq9C60tkCjIAh8t3IFPXr0pINdoqgznOVBrbA3mEpUem5eOsf1C2cYPH4yQXZFr6xwJ7sIUJqfQ8apgzw49/FGBqK9chC4NgrE6io+XbGWheMGIpdJG1VwtZdP/fzYJd7YfcrW/u/H9GVJf0sRL/vcEWloiC20SVdSSnleCXtuZVNcVI63p4QeUgXSahO1hXVU1DR+b+KSggjrGkHUiL4OYWTWgnvWPtnnolj32X/qAov++B5eXp5MenA873z8Od26duHJxYvRG/QIgoBRJMFkMjHhoYeIC2lMfu83URCJREJUdAwJiUno9Ho+/249GiQ2A77w+gXEYg/Szp1iytyFjfJdrLDunxhkITfW+7pj126ee2weq8/cblXdHYCqslKunT/F5CkNynGuyMnurZvp1rsPoXZy4fZGpMlk4suP3uOZ557HKHYkHE0RBed27OVgDx7YT63GwLCRo1z+3pQ0Jzgq8NzJLWDjniOM7BhPp3axjfYFx2fe+gwDaOS+fPjdJl6YMBjvyBgbUQCaJAv22LF1C6mdOhMYGWsbC1eSwDt27OCNpxpsgR7DxvLU258Djp4cZ6JQqdaxe88eCnKz8fT0Ir57P8Jj4lzK4AJ0ivBt9BxZx7ZObya3RudQFNB6PqWXmMJrZ5i+4AnyC4tZ/PhjfPjJp0RGRLBk8eN4e3sjaOsQ6dXoinMZMXwwKZ27O5CEOr2Z6MD7I0H87yYKIpFoEPAK0AOIBBYKgvBNE/sPAV4EegN+QAbwviAIX//kDv+M+MWEHsXHx9OmTVtWffcdYAkFcYaHhwdbftyKWqPBbDa36iN5/cYNNm3cQGxcYxm6lkCr1bXIi5HasRP79u5hhN3Hzh7x7dpRVVXJJx9/RJcuXek/YMA9exfS0i5x6MAB5syd50AS7hUikYgpY0eiUqlYvW4Vep2eEcOHkthEuJU9+vXpw/GTJ1m3crmtGBq0nLRcu3qVzp27tGg8ho8YRX5eHteuXePBCRMZOmw4Wlwb8OXlFezZt4+qqioCAgKYOukhx6Tke6js3ZyS0cVLaTZ505OnTnPylGXV/sTxYwwfOZKX6yvMysw6ampq+Gr5tzzQuxdd+jRPdn4KwkND2HfYovGelNCuEQHwEHuwdddePD0llJVXEBpikYB1cP27gFhdRWl5BWu37uLqrQx0ej1SL68WkwSAolo9XXu0AaV/o7Ahe8/AyHETWb5xO4/OfwRnaMVSvPxDmDBtJu9+upQ2bdowZuw4h+JxrbnXeXl5rF+7hnHjH7R5IVta0NFqKFkNBOskbghLJH5UPDv37kRVXYE8KpmuvXu37DugDMWnQ18+//B9pix8gjDfxivk9hWO6/C0xSsDmMyeeASEI43tAOoqJNYQjHrD3HoV0tAQepRXk3AxnYySCqIDfHlp8hCH89h7EdRaHXtOXyE7Kw+xRs/AQF+COiXYQpiKbpZQUaMjX9NgPBbrLP8fWFiHd1g1lVfTCehoIQKunhurQWc7/s5tRi961fb3Ox9bDKyLl9JYu34967dss80RBoOB1au+JygoiPEPWmLzf67K6bGxceTkZJOfl0tSSgdL7lj9rQ319uKuWk1u1h0kEk8KcnNISG7swXXW6bcaeTqdjh/Wfo9Wo+bujSskpHZpVd8qSotoE9VATl0Z7wDjx45l2eef8PQLL7ucZ/3knixe8iRff7WMgIAAHpo0GbOk+ZBacCTStXoTdbU1bFz9HSkdO9N78HDb743CsOxClhrJhjohTi7mxYmD2Xv2MocvXqetv4xR3ZJt8sz2UsFg9aal29TTFvdpzzvfrOXJ8QPx95Y7SAIroZGamjPXqi3KJbW+VpFVKtgVIevRtQsR0TFUlpdj0Ov49Xtf4Onp6dLbU6HScuP8Ka5cu4FILKJzvyH0HzbK9qzYKy9ZYQ1rivCT2QiHPZy9IfZkQeklRqEqpseQMajrle/efseyAHTn7l3+8Oc3KLudhqenJ2J1FYIg8OPeQxy7vZP5jz+B3o1q1C8MSuAqsKL+X3PoB1wB/gEUAqOBpSKRSCsIwqqfrZc/Eb8Yj0K37t2FQ0eP0zElibzcXLLzC23VjK1wl/jbFKzHfPTlcn718kt88vkX97Saf+vmTfLychk+YmSzK5K7du5AJpMxZOiwJtu8dPECJ0+cRC6X0aNXL1JTOzZLfsxmM3cyMjiwfz/x7eIZ6aSi1NrVUvvjnGEymdi3/wDptzPo2DGVIYMGtsiYuXb9OmfOnWfhI+7H2VUfv/zicx5btLjFBPDY0aM8OHY0n32xlFlzGio/C4JAetp5zpw9i8lkIiAggJHDhxMYGODSK9CS8XI3rs7jptfrSbt8hV179vDmW/8gOCiIX7/6K65cu0ZBQQHt4uP51W//gNLHh/PHD9tUo7RiKfv27iHjdgaJSYmWuPWgYDomJ97fysxdOwsxUZFs2bGb6/s3kxh/b8TZVeGf4xevMviRF5g1bhgr3/5Ny0lCvedApdawestOHn3sUaBxXLD9+KelXeL6tWvMmj3HfRf1ZnKys9i/ZxdyTw86dupMj549HQi/q+deEARy8/I4cOgwnhIJsx6egVgsdiCHjcQH7CZcVwTBnXSiIAhUZl6n8s5l5IFhhHcdhNij6fWd6AAFmuoKrh/4gXGPLHEohGWFsy67FYd3/sjQQf0JCwt36W2w3lfrvSvNySRm/u9ZOLIPnzzVkCAKcLewjCPXMtB7yJHLvBjWoyNRXiabEWaf+1BXWI2qWE1tYeM8qvCuoYR2iyegY2JD7omdXrzzc2Q2m0mv1nH0/GWeffMjAN7646/JKyjk9p1MQsIjef6V10ho354jhw7Rb8AAdIJljK5eTuPMsUMkp6QQHBxMcEgonTsk39d3rFv37sKMOY/wm1deZO2W7XR+wEL+W5JDYH+v7At7We9nSVEBD/XpREBwKMv2nbOFl7QUgiBwcO1yZj62xOF8rkJOiouK2LRuDU8885zLb7J1RbqivJx1G3/AYNDTNj6BlO690Xs0/U31l0moKCvjzImjlJeVMWXmHOROYWHOfbJ6yBoRBKdvkbOXDOD6lVvsu3YHL72RYcEBeHtJXObhKCMabA5JsD+fHrvE4307ERpjIdr2Xi17lS97XL99h4JqLUNGjwdcK6kBDoQoOlBJSsfObNx7xDbH+nh5UFpSzN79Bygur8DDQ0LX3n1o2z7ZtuLvqgCcc6G9YIUXiUEKi9Sq3fhZ4Sr0yNtTRMmN85w9eYyFr/wBg8HIa3MmgggupmfhFxDAkzMfYtCQoZw6fpTktrH4+1oW3/JqjXz7415Su3bHNySSkJAQunXu+Iv0KDiduw54pimPgpvj1gEegiC0vErsvxm/GI+CNcHr0JFjPLVkMQP6PsDAQYN4+5/v2kJg7CdnnU7H0s8/o2OnTk3Gs1uPqampYcbMWfcc8pOUnMz+/fsYP6x5OdAxY8exbeuPTXoWALp2606fLqkYDAaOX7jC8q+WIRKJEIlENgUje8Pcqt8e3y6BefPnu4y3vV8kASwenNGjRjJ61EguX7nCR598RkpyEiNHNJ0/kNqhA3q9ge9Xr2HOLNdhSM7nFAQBD5MBBQa0tMxwH9y7G4MHDSQ2rg0qlYo9u3ZRVl+kLrVjJ2YtXOS4kuzURmvGylX4itls5trNm1y4mIZGo0YkEtlqenToavkmlpWXczczk7uZmYQEB/PZ0i/5/Mtltvt77OB+evawJAWOGDmK/gMGUlxcTFlpCelp51vcv9bg20/+xe/+9BcGTV9A/57deOd3L9M2oPFqoEnuz9qtu9Hp9SycManhBydj0orKmjo6J8az4q1ft8qTYIW3Qo5Wp7Moxfg0FLNzZZS3S+lMrcbAl18tZ+Zc9xXJY+PasHDREhQSuHbtKt+vXIHJZEIsFiMRjCAIDkVcBLMZkUhEdFQUE8ePd0gotxIEdyTBVcVWa3ErcJRMtEJdowOPKLwSo9BUl3Dxh++RyH0J6DDIZREsha/Udry57UDWfvkp7UbNtvQ5oOF7EOFvuZ/OCanpOfkM9g6qNwosRqayXh3FLPdHXL9SavU0RASH88jEUfRNaYPZJ4j9565y584dANqGBfHwwO54hzXo3QNu315lhB/eYdWNtjnnKJgV/qjrPSCyIB052qucOXGU6jLLfC5CRHJ8LD17PQBYiEJxSSk3bt1GLpfz3arVDrkKb733AXMXWHJaOnbuQlJKB0qKi9BUl5N+66ab3v40PLHoccxmM/NnTqPHA3156qXXiO/c2E4SBIELJ49x6ewpXn7t142MY6shb10xNlap8PEL4JNtR1tEEpyLvYlEIiS+gZQWFxLiIuwNGgiAMjaS2bNmsPyzD3ny6WfQ03g1GsDLJ4C5Cx5FEASu387gh00b0Wm11Bkbqko7zGNmwbLCHhRMx2496BMRhQ7Q2XnCXBEXezgn41phTxLsc2UiRCLmdUwg4/QtVh24ghmB/iZvZM4E6JKFXPhEKIFCpgT78v7Gw8xr3wa5xMNGJBThQTbvg9hJivnIkTMsmjYej/IsW20RZ+Ukq5fBOtZvvvU2ebm5RCg9OXP6NJfTLgEQEhLKjInjKDQ5fp99vDwIlhga1ShxrnSeGKSw7SspveWSeEuCw1FrRVy9mkFRVT2R16tpGxZAj3aRRAUHkFVYSkV+PpmFZWjVWs5eS2f97sO0jQwls6CEwd06sH+FJaQ72kfCrxfNpqDOQEmdnoLM243u0/9n8AXy/tOdaAot8iiIRKII4C1gHOAD3AWeFAThcP3vIuCPwGIgADgNPC0IwjW7NrKAOGCQIAhH7bb/CZgmCEKTFbnaxscLi5c8SffuPejarRvXrl5h/ry55OXmAvDk088wfMQIMu/e5cMP3rdpjr/1j3dY8tRTTV6fIAh0SExg05atLhN1W4qje3cSEhxM1y4WNtucoXnq5EluXL/Ggkcfc2nIuCsIZv/7vRj+zm031UZr3e+X0i5z4NAhevXswYB+/Zr0MJw+c5bsnJwWVVK+lHYZtUZNvz59WtWfuro6vl+9BrzkjB033kGlqbXIzc3lTsZtt54gQ3UZaVeucPNWOiajEZFIRHJyMj27d0OhUDiM85tv/IV/vv1Wk+cTi8XcvHKJ2Pqq5K68Hfc7fjomKlL46O03GN27E9czMnnzo6X8sOsAAKP69+SpWZOorqnjneVruX43G5PJzKThA9jw/p9sbbgjARNf+wezRw5g5oh+bs/vkiTYrcjdKa3l3KU0ps60eIhcFT2yd5VnZ95hz7YtzF/8NF5O+UOuViStcPXcOxQyayIJ2v4+FdYZHAiCu8qsVuNeXR+jX1flTFstUFdVYVSVo8k+i8QnFFlUV0RiMQo3amqG2lL0BecI7T0JbzuPQlCARbXFSh4i/GXotRpyT+9lUv3YOscjQ8MYWVcexeoqjEYjq9aup1alZvSAXrRReDis1jobSuBoqNmHeNRodJwpr2JCtyREIhHS0BC8EjrbCIJGLOfY5XQuXb6CVqtBJhHTPr4NA3t2I0jmGGayavMOHnnxty7HxR7rt+6kb/+BDs+N/bNxv+Knbe1FRwl/euNNxj84gYysXNZ8v5JPP3gPgODQMF7+y9uYzQIbV37FlfNnMOj1eEml3C0sd3hGrc99bo2O66V1FFZr2f3lPwlRypj/UvPXDQ332J4sGPQ6jm76npmPLXGZ1wKO70dFRSWffPUNCxY+itzfdTV6d9601sJVPL61X7ZnssRCVK05LM6w92jZe7IqanRcqLIQGB1mblOHF2LaosDTrkSZUmL5/zCphCi5BK1gZqemnPHyIML9LO+VT4QS7zAFygg/B9IA8MXO4zw5a7JLj4MrGVKxxhK2s33Pfu5m5dCvdw+69R3kMLeWGT05X1hLmVpPvxh/IpSeKFTFmOX+lBk9bQsV/jIJBoOBE3t3MHz0WEL8vJGZdUjKszBmXcNcVYLJZOZWfgnnLt1A4+mFh8KHsJhY+nbtQGR8kq2f4pI7nDx6nLEvvUmdtun7+dGLC1k00bKA6Oq6JW273TePwtJnZ30wd1ivn9oUk95Yyp4LN18BZtltXioIwlI35261R0EkEj0I/AD0FwThzE/p78+JZomCSCTyBy4Ax4CPgVIgHigQBOFG/T6vAb8DFgC3gD8AA4AkQRBq6/fJAsKAi4Ig9LNr/0+0gCh0695dOHjkGJcuXuDEiRMkJSWRkNCerp0syYNt4+OJjIxCr9dx9oxlvJVKJa//9nc88EAf0tNv8caf/sjeg4eJiIjgsQXzycvLZdKUqdy4fo2rV65w+NiJn6Q2JDPr+NeHH7H4sUdtiafNGfJZWVls3bKZp5551mXy5b2EUzXXRyvMZjMlpaWUlZVRWlZOeZ0GqVSKVCpDLpcTFeRHRHgYcicpuJbg/IWLHDh0iEkTJtC+fYLb/Y4cO45Oq23WC/HdqjVMfmhCi6RgrThx6hQXL6Yxf96cZhOSm8K1q1d59ZWXOX7sKMOGD2fTlq2UlZZy8eIFGyEVBAFvpZJenVJIsqtYDa7vnSAIhAb6YzBYFCPUVZbVr7t3M9m1Zy8jhg8lOSnJ4Zh/B1Ho0bWz8P3Sj9izcyd+Pkqmjh1BeI+hqDRaPCUS+nVKRAQcumip7yAWifjN/Mn065iIyWRmyTvL+OrXSxjSrQN/+no9m4+cZUqfjhiMZr7df5oLH75KoI+3S+OxOZIAlgnq2007GTigP+FtLbkx7pKEraitqea7r5byyKIleCst3kd3JKEpYtwSouBMEio1Bu7kF5FVUERWXhEFRWVUaIx4eHpRpwVPbz+MKPGQKmzkQF1Vhbo839aOptK159usrcZUcQexMhwP3wYlFHmAIxk2qSsQ6yrxThhkIxTKeo+Col7tJChATnVOOkFyMeGJnRtV2nVHGvIzbrJp82bmTR5HdH1b7jxKLq+h3pArrKjhuc/Xs/3sNfx9vLm77kNEASGcu5bO7aJKTBIZgqcckcybsLZJhLZNQiqTOSRVWg0eewyavpAT5y4BkHPlDGEhweQXFrHr2Fni2qfQpbdlKnL37NSHfdzfd6x7N2Htxs3s3LGdWo2OGbPm8sTCeRzYaxFfeGDQMEQiEacO7wdAoVQycsIURo4eQ2xkBC89/QSLnnqWibMeYfvmDbzzxp/oNXQ08uBwdnzzKS9+uIKePVqmS++KKADkpp1GJBYzbMhg2ziA6/dEK5ZiNBr55KMPGTVhMjGxjuGKzoo/zudrKjnfHtbn0BVRMGlqqc2+TkVBDsUXjiECPNQqtNnF+Ek9CfGWExEXjqa4grrCaooulXClWMWdZgiLBhN3UOGNhDbIEeHaPtBj5jq19PfwJ1zmSZRcQqCvlPCuoQ5kQW80se70VR6bbKlH5PwdtPeagYX4VtXU8vl363hw+GA6JlnmUlcV5TPVlnsTobR4kqwLidbvY3FlDW//6TdsXrcGo0HPgRNnSWkfz61L57h17hj6uioMJXmIRSKSokLpEh+Nr0LWKNzPIR+trpxnX/sTn+2w5LV9NagX3YMD0PvLuC4RI/H1Zfp491ETAJr0awQ88ff/VqLws4UeiUSi/sBO4DVBED67957+/GgJUfgbMFgQhP5ufhcBBcDHgiC8Wb9NDpQArwiC8EX9tixgCxavwxxBEDbVb/8TLSQK9lWD09IucWDfPqbNeJiYGEeZRWshsGNHj3LyxHG+XPoFALFxcWzftYe1q1dx4cJ5dmzbBkBycgp7Dx5qcc0EV6vx1m0qlYqlX33tUC24udj14pISln+7giWLFuFfr+/s3O79IAqm2gq27dhJTW0tCAIisZiw0FCCg4MIDgzCx9cHvV6PXqdHrVFTUlpGYWERWp3WEoJRj6CgIPr17UN4M6vzgiDww5YfKS0t5ZG5c2yEw7lq6rLl3zBm1Eiio9wXNvryq69ZVB+b3hLsP3iI2tpaJk2cYNvmLsG4qbE1mUwE+TU8F2/+/S18pBKCgoLo3q0b4W3b3xO5PHf2DCOGDgEs8qcymZTnXmqokfDj9p2MGtjgPXHlTYKfhyic2vMjYnUVuQVFrF6/kRF9e9C9Q3sHw08QBArKKkm/eYPd52/w/pZDtt9ur/2ANfuOU1JZw0cbdtm2p3/5B6KD/W1/20+SLSUJACaZH/949z2efulVJBJJs0QBwNNsYNlnHzNxyjRi49o0nKKFXgQHzfYmSILRaGTrjl1k5+WjNpip1RtB7oPeyxe12JsKg4SKSjWqqjoEo47akjLUpXmYDVr0Ksu5DOpazCYTIu8Q8PJp9vky1xUhqMsQByYgcpMwaq7Jx0Pui4dPBPKAMBRBDe+alTwYSy6hiGiPf1QkQQFyB2+DtRIsNKzqZty6SdrpYzz95BJEIlGTkqtNQRAExix+jf2nLgDw3JzJtG8TjVIhp0ev3iSkdrGFmtmvjoKj+opCVewQclKLjIBOlvj/hTMeYt6UCQ4SvX9748889eKvXMpXWuEvk5AS7nffcxSsc1l1dTXff7eS2PhEhgwf0XjlvaiA6ooKtm35gXVfvG9rY+XOI1w8c4K6mmqWvvt32/Y/rNxGXLKluKV9LLo7uCMKod5erP/2S6ZNm0FAUFAjouAKtToTK77+ko6du9KjV0Nl9KZyc1qLDiFK/KQe3LhwmvSbNwCQeogI8lEQITMTqK1AdPM66pJKKgurqCpVUWs0Uq43UGs0oq3Wkl+jp1RvRIyIELwIxNMtAbCiEgNZqIlHgR+uQ7oqMVCOngQsi1ntvL3oFObtQBbyqmq5XVrJ+P7uk8ztw+zKcu/yxbqtvLJwBlJ7aXM7MgEN3yfnxSQrURAEgX+89Xc++uffABg0fBSjx4zBRyGjc5cu9IgNQm7SYMy6hjPsPQD2BMX6nksTemAymenZNpK/PNCRcWsaKi0P69GRHe+8bjnGhXcnf99JMnbeZuzdS/9fEQWRSDQA2AH8QRCE939SR/8NaAlRuA7sAqKAoVhIwTLgE0EQBJFIFA/cAXoLgnDW7rjtQJkgCPPr/87C4pEIBR4CUgVBMN4rUQCLEbdh/Tpqa2oYNnwE8e0aKsPaT/rPv/ZbvvjsUxITk0hPv2Xb/tCkydy9e4fxD07g9d80dtW6MihbEopz4eIlSktLGT1qpMOxTbWt0+lYuuxrRo4Y5rCS/FMJgslk4vy5c1w9fwaZXMbEB8cTHHTvq+tgITYnTp6ipKQEs9lMdHQ0HVNTiYuNcZnUVlVVzZdff824wX3p1KFxfQqz2cxb73/CK6/92mEl3h6tIQp79+3HaDQydszo5ne2g1YsJS8vj/1799iK94nFYtavW8fxY0eJiorkzo3GH1LrsS2B9eNdU1PDqOFDuXnjhu23AH9/ampryc+8gywwtMnwsJ+bKEDDitHu42e5mnaFQV1T6Nq+DUJ1aaPjPt+wh5e+30V0oC95FTW27V3iowjzliGVSFixxLHgnn38riv9eytcTYglpaX8sGMP8xc+2mSBIWhYDRUEgQ1rVhEZHU3/gYNbJa3ofH57CILAxZt3OHniOBqDiQcGj0AZFu0QbmRVF8nNrqKuSou6ynIOq+fA6jUwai0xwIJJj6AqQdDXggAiiRSRPBCkvohEjd8xwWzCXJGOSOqL2Mc14TaVXkMckIBIYnmWJDJLcqHVAyFUZKBoNwDvQMvYK/1lKHylNtJgTxiybl0n/cpF5s5f6BCe4rZGgxV15VTV1PHjwRNodDqQeiMSiTh5/jIrN20FwHD3ggM5cpZStA+jsN7bYInBFnZiJbSigBAmP/cHdhw57dCFqIhw1iz7lF4Dhzq0CY4ylWAxmPu2CfrZiIIVly5d5MihQyR16kpK9wfw9PRsJJt76eQR/v7sQrxkMmoqK2y/yb2VDJv0MKf27+Tr/eddJq26g33MuvN1G/R6tqxYyuPPvNAsUbB/B7fv3EVdbQ3jJjmGlNoTBec8HXvYJ93bo6wwj7y00/iIDAwaMIA+PbvZflOoijFfP44m/RpllzMovlToUm7XGloEYESgFB2VGDADnogIwgt/PJG4IA4CAndQIyCQgLdLcnEHFQF4Eki9MpBEzIhYP1soUobIiJeHBx1C/Bsda61oHtw5AWloCGWClG93HubFh8cjcYo2cDbenYmCTqdjx7ZtVFRYSLPeDHm5OXzyviXE7fStbKJC6t9zF2Fb0OARdPYmOBdf+8tvXuFvH3/l0L8ebSJYMHkMTz46x2XyuK6klKzd57l+JJcjZWq+IPv/G6JQL6m6HfiTIAjvNrXvfwtakswcDzwF/AtLnkJXrBliFsPfOsM7D2YxFnLhjL8Dj9f/+7ypE4tEosVYPBCNvAZgSaZ9eOYsdDodx44eYf++vQCER0QwpE9PQoItq1Bv//Md/vbW2/w/9t4yuq07+/7+XFm2ZJlkpiQOg8PMzMxpOGkYm6bc6Uxn2sEypU2appCkYWZmZnbYccxs2ZbF0n1eXEuWLNlJp53ff/qs2Wt1Nb58ry6c/T377HPr1k1W//QT36/4DoAd27ex+NXXmF1JX4N/By2aN2P5iu+fvaATFAoFC+fP5dvvVrhJTn4pLBYLB/bvIy01FS8vL1q2bs2cWTN+sad2RYiMiGD40CGOv9PS07lzJ4HDR45gtVoJDAykV88eRIRLmky1OojXFr/Mwd3bOXLyNGNHDCXKycZQJpMxY9I4lq/4gXlzZrntzw6r1epRnuWMJ0lPyc7JqbBIuiIk3L3L4SPHiKgSx/iJk1ycb6ZOm86cWTN5afYMj+s+ryuSMwIDA4mJiXUhCgUaDXkZqfj5+WGgcmL6a7pPl4fzc1atSozb/L4dW9OtdiyX7j1m+Y7D2PRa1H5K2tevQdXwYEw5ubzYpTlj6sXxOLeQ3Y9T+GiPFAjdSExjdo9WzO7h+Rtg/3jYQyLHB1Cb5/g4yXROnVdLR/QjwsPBJOn6nf2+KytyDFB48eKUSaxY/i3+PaWmbc/bsMl5vs1XjSiKnD57ltu372AW5DSIb8jwcZMx4uWxaNleh2AnCbq8NPQFWQ5iUB6Clw9CYFkRsGgxIOoLoCQLm82KIJMj+EcjKKRslyDzwiusATZdDtbsW8gCqyIo1a7HHlofW/YtZJFNEASZY992pyFbURo640n00XUB0IXGolKr0RUZySvQk1pKGEIVNi4eOMjoGfNIyNG6SJOKTVYCfMosV5VONpWZTx6wdd8R/FS+jBo6hAB/P0fgMQ2o0/hTqlapgugXjPPwlTNJgDLi51zsKSsprZdw1qVrsmkWHcTectf21MpPqFanBuQloQyt7rDV9EQy/10tfXk861vWrFlzmjZtxpUbt9m6bjUWixW8FcQ3a0FcrbpE+PnQrH0Xvj55l7sPn5Bx7SQ7l39GcWEB+hItuuIiXv/Y9XNqd7Qpj4qm22H/Lb19fIiOrUKhpoCACM+1B4AbUe/SszfrV37vYlFeUW1CeZLgtu3UxyRcuYBosxEeU4Up418gKjjIjZDaEs6Qd/p0pdsqDzkC0SiJRiImZmzkY+YRJViwISAQhcKRcRAQqI0fRZi5SRHhKIjBldTURMUNivBDjgIZWouN7YkFkCjV4YT5ytDJzWgVAYQEun438ouMhARmk3U9g4imUXz/IJnXRnTH/PgeZvBYGI02z1E9YfNVY9LksHnbdkxGI/2HjyKytM+F/Tdq0LARyUlJxIaHeqw3cnYTK19L4EwSHA5IPgpadu4J5YjCH2eNZ/Dg/uAfihx3GaIiIry08DvlOX+t/04IguAP2LXVMqCaIAjNgHxRFJMFQfgn0iB6z9LluyGRhG+ANYIg2ONnqyiK7iNw/yV4HqIgAy6Lovh26d/XBEGoA8xHIgp2lE9NCB6mIYpiQenF+7MgCKsr23Fp0chykEZhKlpOoVDQs1dvevaSRvAzMtI5eeoUWVnZhIWFMmDEGORyOc2aNafZ58355PMvXNZX2oxujjdQFow9yxPfeVk7BJnMEdj+u1mBf2e9uwkJHN67k9EjRzr8wAFMPLsw2SBTIIoixcXF5ObkUFCQj0ajoVBTiE6vw1KqpxdFEW8fHwL8AwgJDaV5ixZ0KbV6A9BoNBw5coS09DS6t29DyxbNEQSBvoOH08NsZvXadVSPi3PoXwHCqqlp07qI/QcO0q+vu6YxPr4BCXfv0rhRpYkntu3Y4SL7ehYeP05k5549NIqPZ+H8udxJSGDJl19QrVoc7Tt2ICZG4rrLln/3XJKlXxK8212pmjdryrXrNwD4ee06Zs/0TEj+U3B+zlq2aO54zmwqtfQR0uahiIyhnZeMdg2luoC81CQu3E9i7+UEBJ2OUW0aIhMEaoereTlczcvtGrs03XoWbJpsN398x8vJP9QxMm1TlQWecdWqkfnkIdXjqmGQKSqVRThDoVQilmhcam+eRRCckZmVxeo1a+nZvTtzZs3E6CUFC1qTDWO5YNM5ENI5jW6KVhM2QxGiLh/RagKrEawWEEudYBClzIHMG7x8EFShyAKiAcmJRrRZELUZ2AqTEZRBCAGxCIKATBWO6BuGWJiMqMtDFlKWZRVkXshC6yLmPUQIcx+MEFThWAqSKMbLkW3Q5aW5EYai63tp238kV59qHO5JFcJHgVZnZf2GTUQF+zNz5gzy05L46NufaNGqNTUbNCa+gRR8vPT625K7UrlNeCpYdyYJSpvRkf0qXyTtmyWNqLavEcO5J+kAvPvJMla8NVvyvVepUfqqHWTheSxK/x08z7esxCxSP74hsbWlrKtep+PW9atsX/MTFouZZj0GgSoIdUQ06r4v0GPMFLdtlJfzVCTvKU8WKiJELdu258qFcwT1HeDoW+CpoLo86sU34sHdO9Rv2Njtmjofkz17UJ4wGA16ru7ZSGyN2vR7YTJRAdJyUYEK1xFwnQbT9WMU3H7gsr5fpAqTzUZegZZi0UqJzYrMV4ZWaSRRZ8JgK3UNBLyR4YOMYLyJREFkqS+XDZEsjNymGF+8qIEKLwQC8aYpQWRh5CZFNCIAWWl2QUCgEYHcoojmuNq3A+TqbSSgQ1fshX85wwKtxYa/xkBkVgnpN5/Qtk4UqYevOWRLAL4earvQ5mE0GPh5zzpsPipGjxiOj48P//roE5q1aUdAQKCjFmfYSMnC+Jk1WRXIPsG1iF6tlKOuIsXJvTu359CpcwBM/scy8qYvwOarRo70LrffBXYiH9urPW2AkH0P+Tbxqefj+O9HK+CY09/vlf63EqlmNxqo5TR/KqBCatL2mtP0p0D1/9xh/jo8D1HIABLKTbsLLCr9t/3LHoUrPYzAPctgx1fAAuCV5zvMX4bo6BgGjnwBpc3I44wcln+7jCpVqjBw0GC8vLw8PhwVOQg9T7BuX8aZLDRu2JBbt+9Qv7nnFFhFXXxDQ0PJyc11ZEOeFxaLhTWrVxEcEsJri1+WOs562KfzvtLS0zl3/gL5+VIa2yLzRhAE/AMCCA8PRx0cTK3adVCr1fj5+SGXyxEEQQqIjEZKtMXk5eayeet2dLoSRFGkRas2tG/dguEjpbTz6VOn+Pjrb+nUqRPtmjbE29ubaVMmc/joMTZs2swLo0c5jqdVyxYs/XY5Wq3WteEZ0KJZMzZu2VopUbh46TJtWrd6rpqBvLx81m3YSNWqVXh54QIEQWDn7j2MGV/Wb2H12nXEDPEs43iWlOx5UKu29IK1k4SOHdozeqRrut5T5sBms1GnRnXGT5zIfwLOzYoA6aPhNMJkyc0ktEp1+vlLRCf7aQqrD18ErZ7BdauhlHuhigp1uNl4IgyKiHAXe0Ios820j5o5Ut9Ox+FMGDo1b8CuA4epPunF53Lxsi/TuXVzLly6TLcunSvv4Op8TVRSFmH73gMUFGhY/NLCCmVyztAXF/L09hWe3EukIF+HUW9Bm5OB2aDDJgogVyD4+INXiEQKBJnj/hVFG1jNYDUhFmdgsxoBEUERhOAfjSywKgSCqC/AlpOAoFQjC5QIg6COQ9TnS3KjsAYOuZLgrUKUKxCNhQgK10BGkCuwWaXBAItBS3GG1o0wKBQyLMU27mboASnL0LpGiGMbEX4+jsDQaDCwdvsmZDIZk2bOIcgb7l69QIvu/Uvtf1fw5muv8vZf/uoIQJ/V1daTXEym1zhsHZ0dbbKuZ1D0QLrH7CQB4JXODbFpsrFQem9F1ELpq0aLt0NGlV1i4v25E5/rN/4t4HyOdv97X5WKNh060aZDJ0wmE1s2b+JRRg5t+wylWPCtcDS+IumOfXnn+c/KmETFxHL0gJSTkbJFXs/VJKth0+bs2LSOqFoNnmtfzoTh4fVLJN65zvDxU6geId1b5YvW7TIZ06ObPN5/mjN3npLlJTpGJs2FemxaCwofK4FeciJkCvy9vFD5BnI3W0eOyYrWYsOGiBkRMzbyMJGMlKX0xYs4fB0ZhxIsJFCMEi9qoUKGQCQKApBznSIaE+BwRpIjUA1fktFTDXcjEPsx2iVQztBabBRZjNxGR8z9ImzJOuLq6fCLLCSieU0UEdku70ebzca2k5fINYmMe3EmgVHVKCwspFb9huTl5yOXy6lXvwEHTkoBvCMT47Rrl3egUyYX3GWfBpmCYlOZk1t2iYmiIum+spMEgK2rVjhZGFd3kAUoIwwAazQl/KRJdLsOvxeIongcKi5wEUVxqoe/p3pa9r8Zz/MWPAOUH36qi8SAAJ4gkYXewCUAQRCUQGfgdU8bFEXRIAjCu0iEodKswq9FbGwV5s1fQNKTJ6z88QdsNhtBvgo6d+pI9TjPrdt/DeyBXUhsHPfuJuCuyPe8jh1asw29KH/ubIIoihw9cpi7d+8yeswYIiOjECoIWm02G/uOnyblkVSnERUVRbeuXQgLDX3u/dk/EpI7koKQ0DDq1KvvOJbzZ0/z4cefMHHqNAIDg2jWtiOdOnfm8KGDfLtyDZOmTEWFmV49unPz1i2+WbbcRRY1cfw41q7fwKwZ01326+vri8lYeTB+9do15sya+cxzuH7jJmfOnmPGtKkoldIHymKx8NGnnzmW2bdrB+2793Zb93muk9FoJCc3l9zcPHJyc7FaLPgoFCgUPgT4+xMdHY1fWDTv/uU96tWM49U33kKv13Pm7DnS0tMc3vyeyEdWVib1atUEYMO6/1wjRztZsKnUZSnpCgpTg3yVTGnTkLSkdHY+eIrZakN+J5HmUaE0ja+BLrvAjSw4kwT7/PKddZ+FAH9/tNoStwLjZ5G2wqxUlKL4i7II127e5uipM/Tv1YP4enXArAVzqf95uUGGuzevceGiVK5lU6iIqtWUwPrtufkkn+zkQnxKpUfFGY8r2h2AFNzLFRKZUJQV1Iv6AmzZN5EF10Lw8UfwDcbLNxhRlyfJjsIaSNIk3xBkciW2rFvIIhoiyKTXvRAUhy3nNl4RjZ953s6EQV+QhUybgrrxALKTCx3OSZfIdyELADlZGezZtJap02eiDg7BLHihA5Zv2OXoEfL39/7C/FffcLxTnhWAOpMEuamEzLw8clMSyc3Lx5idhFyvhcxUzMmZ+BabUIgi3f2DifVW8HJ6mVf7xbO3iBRBFZGDL2Vkwb80sNHrdCwY1ImUJ5X/Pv+X8PHxof+IF0jJK+TQnp1k5uSDIBBTOx5ZZG1HE75otZKMQkOFI/XlUVExM5T1aHheyaqzdKtQU4BVVibfdN5+RXKo3IxUbhzeQ7MWLZkwc77HhoB2PE56yuH1azBmpWPOzKO+r5LW/ioCY9TSIIWT9anLMWZoqaryRiYIgAWtxYYCAQUy/J3CIS0WblNEDErCUeCHnMYEosXCdYqojz8qvFDhRWMCuEUx9fDDr3QbofiQRhFVUDqyDXZIUguxwgLqTIzEonR0Jud+HiFOjQjt922J3sBXWw4wpkd76jZpAt42zKLIocNHySsd/Ovbpxdb1q/DICsjCOUNGsDz4IhFGUh+Xj5ZWhM5uXmUaLWg9KPIIiPbKCD6qwkKDUceFseey/cY0raho7Zv/9mrNOhWqmjwUaAMrY6s9FsiR5IRD5vzJvvOX/d4Df6H/y48D1H4DDgrCMI7wAagOfAS8AeA0oLmz4F3BEG4BzxAskrVApVFMquBV4FpSMXQvykcxZ6lH/HqNWowbYYURBYXF3P51DEOHDyIKIqEhYXRv28f/Pw8j/RXFhxWlIW4f+8u9Ru49mR4Vt8DTUEBep2uUq9/5yDoTkIC+w8eonOvvg7ZlScU5Oeza+cOdDo9MtlwZszqiUzmfn42G+zbK6N9+xzu3bvH06dJ6HXSi9b5Y2GzSR/0mrVqUbdxcwIDpZFJQRBo37EzzVq0Ys1PP9CkeXPatOuA1mSjXddeFOak8+nHHzH1xWmEhYdTt2krfEMi+fr7lcycLXUC9Q5S4OurIjsnx1Hj8LyoqJB6644dXLh4iSWff8rxk6d4nJjIPz/8iI8+/QwfhQ8GvQFNYSEBpVmMiePHPZMkaLVarl29SuLjR46XoyAIyEULPj4+hIeGEhYWRq2aNZHLvTCbzBhNRoqKijlz9hy5eXnYrFYyMjORCQLDBg/mj394k0YNJbvf8sGuxWJhyZdf8NmnnzBi5Cg+/fwL1MHBqP3dm+r9FnCxAi1HFuRhUVhyM5GpI1wK1IKVCsbESyTGZLVxLTOPFUcu4R2gQuXjzaAOTQgLcD/e8iTCLkN6FtIzs4iNjnI53sr6G8j0Gmw2G2cvXubV+bOfuX2A9Kxs1u47TpOGDTyu46hZKNGwf89BUjOzKNT2ZtL0meQZzI5iZr3GQGiwLyWFRrSJ9QmpqkAuGinJuIepKAer2Um2iIB9bFTwViGowhG8y0YmBd9gZEo1YsEjRJk3QlCclEVQhSJTBGLLSUAWVA1BqUbwViELj8eWfQdZZGOE0oyFoArHVpKNzO/Z1xnKiqzRatBrstFrsh2SJG1+MelXj1N05wyz3n4XuUFL4rVz7Nu6kY0/fCtJvUQbmvx8FErpPNq0bcvkBa+SoTU79lG+vsRkMnH75g0e3LuLzCYt5430rMnlcsL9FYSHhVK1SgwqtQxdVgbF2jzyggO5m5JIRraWkmIDRpsNP0FGbYWKyTWq0UahIvtaolQ4Cg6y4BsusnnvSd5+6w1q14/n4+/XUq1mbdpX/3XmDxXheUbm7bCP4CqUvrTrP5yMQgM2m42MRwncPbodm9WKzMuLoibtqFevtgtZAKlvh7NMrHyw7lzUDGXBuXMztMrqf8rXd+zZuolBEyUJ5bOyFroSLRe2byQgOIRxM+YRHVh2rzuTBKvVyoH9B0h59IDcjBa8O28esvT75J0+jS4zzyHPsdkEThV0p1vja6R4J/G0UEu+Xnq+FI0CMReVYCzUIxTZ8C40IxhF9DqBIMHbMcrvj5ymBJGMngSKqY8/MgT8kdOMQO6hRY03MSjxRkYzArlBEfEEoCjNLNRCxWNKqINrdtwXL/TYUOH5ehZgJt5pnTS9hRSdmRvnijl9+gZTuzSicVEJ6+5lcPV+Ip+s20Wgvz9ePj7k5msc38EqVWL56TvJ8t9Tx2X7+/Dm3fvcunsPXUEuIH3HRB8VMkFAHRlLWFgokQEKAqJDKJIHoSkxIOYWkpiaSMLF01jNZimOiq5CcFAgk2bOYejocaSUSi2lbJA3YaXv5jMXrzL7rffx9ZFz9MdP6dKqCfLGvSq9R/6H/7d4JlEQRfGSIAjDgH8AfwKSS///jdNiHyK9b7+mrOFaH3sPhQq2ayvtv1C+1uxX4XlkRQEBAXQfMMSxbFZ2Nhu3bEWv01OrQSO6dOuGr2iqdJvPQkpyskvXZWfiAp6lK+vWrmXqtOdz9tm+UxqZe2XRS9KL3Okc7f9PS0tl146dBAYFMmLUaL76Qs0H//Tmxg0LX31txiBTSC+Ka1e5fOkKG9b35NLFhgwdls+bb6tp2mxYhX0LbDYbTxITObxnBzKZjLHjxjvS9P4+fsyYO58zp06wYtnXTJgyDV9fX4LCY1i0+BVWLF9Ol65dadioEVWrVqV1mzZs37qVYSMkV5yhL4zn++++Y/Hc59fqZ2RmElmOYC165TW+dSoq79i+HX7+frz8qpToOn76DDarlZjYWG5cv86nH39EYHY277z3V4/7SE5O5vjRIxiNRlR+frRq1Zr2HTo8U57wrPtn/NixfPjJJ3Tr3Q+tVktIcDBrV/9EVGQkKSmpHD1+nE1bt1Onbj1OnD5L9erVn2u7/y/h4yWjbWw4bWMlsmcLDuDghdvk6wzEVYmkb5Pa+MgrDjycyYIlN1OSPZVLi9+5d5+G9V2TnZ56HThP27RjDyMHD3QpkHbbd+n0sxcvc/vufV6aNQ25XO5x1K3AImPTqrVYvBT0GzqSpd/G8NmHPjx4aGTGuwWEqXwQRZHc1CcknTxJ4okhFCe3JahuEdGdw4lq1ASDwfP9I4qi1Fwt/S5WvYagBr2Q+ZQFUTqNBrMmjaIHJzD7hCHIlQhe3sgiGiMWJCKaSiQpkpc3stA62HLv4RUuDV7I/KOwZt9CVIW7SPUEmRzRakbwcreAFEURm8WIviDL4ZRUcGMPD06tcCyzt0lbqof5cXLbZpITH/HNhl2EBvhRo0oMGRnpfPPlp1w6f47F7/4drdm9UV5Bfj6XTh6huKgQudybps1bMGnCOBQKVwmeW9CjC8Yit2HzEyjwekBduZfkfCNKBKe7fzBrszP4y737vHpXUtL+rV59WuQXYXuQzIU8AzvO38QiCqzfuIl6TVpWarf7a2ATfxlJ8IToIClzEFu3EbIIScJoNZtJuXGWcwnnUPoFYOjYC6Wfv9t6dpQnB56Qm5NN1ZjoX0QSbl+/SmydBsjlcgdJqGhfaclJnNqzg7FTZuCr8vOYPTCZTBzcvYMSTR49evXh6pXBfPCFNxlZxXz3dznBjbJRReSQoSnm2N2n/HRiPpee9KV/kzW81NdAv8gQYmpWk2p4St8p9loWXXYBaUnpnE9I4WGRlv6+ahT5EimVGrDJyLaYuUER1VERjDcyBOIJIA09D9BSt5RENCaQmxTRjEBkCPghx4gNMzaXhm2ByCnCXCFRAAgofTdmGS08tenZbMuE0uRI7SsqrmTkkiYT2Hn6Oktfm0GTDl0Iia2GQVDwzbfL2bh5C3/987sEBAS4uY/pDQb2HTtNRqEOQRBoHF+fIf16OwbKwH3AxXkgJtfijSLKSHCNBrSkrOakw6BRnNi6hs8//BfvvDwfgIlv/Y027TriazPy6OYVzhw5QOKjh3z+jz8zbEBfj+/UXwtBFfBcA03P3I73b9O76v8PeC4BpiiKe5AqtSuaLwJ/Kf2vomWqe5i2j0r0Xc4oyC/wqF1/XngazbfLhCIjInhx8iQAbt+5w+cf/IOF8+b82/sC0On1lWrlyxdJHz1+gkZ1ahCskLkE/eXX0el0rPjhJzp2aE/LFs09brOwsJC1P/9MZGQk02fOxNvbmz27ZXzwT+njv2a1nIz0dPr03Yy3txeNmzTj6tW5XLoozd+xvQljxhqJb1jxx0wmk1Grdm1q1a5Nwp07fP7pJ7z2xpuO+f4+Mvr27E7jps34dskXvPy65KVsFL2YO38+3327jLDwMCIjo2jWvAUpKSlcuXGblk0b4ePjQ0REBE+y8qgRWRYYyry8sFgsHgPzEydP0auna8dkZ5IwYexYqleP44/vvgfA8u9/oFkz6foNHTSQE8eP8dkXXzJ85CgUCgUGgwGZTIbNZuNpUhKHDh0kLi6OMWPHOeRKz4tnORTVqV2L75Z+w7IlXzF34SJW/byGydNmIBNk1K5di7btO/LzuvU0a97Csc5/iiSYzc8o5iyXVXheyAqK6RMRgioqlPRCLUsOXWBUm4ZUC3Uv+LPDY2ahlCzIdBruPXhMr66dK95nuWDy3o0rmIoLqBkmPdfOHyln0mC1Wvl541bCQkOYNWWC27IAZrOZVVt2IYrwwgtjCPD3Z8fRMD77UAqI9mxSoMm30qDNT+gtNuQhVTEkv0xxskScCh/0IaZ9NIERuQRS1inZHdFAI0wlRdzd/i1NJ5SpOfMKgoA4bB3bcHfTMoTIhhRnPJYyBiG1sBWlYtNmIfOPlDIL/lHYCpORBUmSS5l/DKI2EyEgumx3PgFgKgZfVykRAPp8BKUai0GLvrSZcr4TSfCr2pAiq5zb167w8NY1ho6bTPO2HVAr5fy05FM++Nt7vPWnv/D23z5CUAWRpdHi5eWFxWJGZtJxcNcO/AMD6dlvAAGlWcoAHy8UTg43zwNVRDC6TFeZnKizMc4/krF+EezW57Fel8MnDx8hS0qkitqPDo1q8/cXh9N31AvYwmtikMnw95H96oDeE4zPkFCWx7MKrKPVSjI0Bry8vaneqivRaiV6bRHXD+8gpk481eKbuzXQe15cOX+Wju3bVzi/PEnIz83l/OmTzFjwMhqDpVL50LGD+ynIy2XBy6+4ZS2KTVZEUeTQnp1kZWbQd/AwalWN5cBeL8d3bOX6AIo0wXRv+RRrcQERSi9OJf6VS0+kHgX7bk5g2ugqVG2ZijwsCltELUcALNdLEpgAnYZIbR5NcjOxWK3M+ccSPpvWF7mXFNgPKD3Wkqx8Pt5zmhHhEezYn4TWYiMWX/Ix8YgSauOHHIEG+HMPLfFIUsE6+PMYHfWdMgQByElC57CLdIYJG35OmXGtxcZ1ysZbZYCxyIRvoJFVN+6hkHsxdUBXvMOj2X8niUFjpzJv9iyOHzpArZo1MeZn4mMqRmeSRv037DqA1WZlcK+uxERGeBwsKW+16qgFKn0H+vtFUjXQPT7JBRoPnEhYx1E8Pn+Y/Z+8xvbln7P9289Rh4bRoGkLhk2Ywohhw4lRCdjwUA/3P/xX4v+mUus3QEBgAFu3bKZEW0L7Du1dgiZnVBaUPUv6A9CoYUNq1qjBF0u+4ZVFC1EofjmrPLB/H127dXPZb2XYe+wUGPQM6N+vwmNV2oxcvHSZcxcuMG3KZI/N4QwyBSdPnOBuQgJTp01zcXXpP8DGC+MMbFgnfSyOHqlGdMxLfPGVmUULvVn7c9mtMGGShf4Dnu8DmZSUxMED+1m02HNdusoLatWIc3OkmTz1RX5cuYqJU6VahG59B7Fi6dfUK5VrDRoyhDWrVzFtxkzH9YuOjCQrO5vYGHcLz7y8fEd/iCdJT2nQpBkAgQEBhIWFsWffPkJCgrl4+TJLl39H9+4SqTAajZw4LpkWvPP2W7zz9ltYLNKH2e5a9dobb/D6m287skyVq349Z42e5ZxlkClQYmT5N0tY/o1kJpaRmcmeffsxWOHqlSukp6dTr159atSsiU6n4y9//fszjuSXo7i4mK+Xfkv96tH07NLJkcZ2yI9+JXSZecREhTK7RX2WnbjKqGZ1CfdXOeRHFdUpOLIKANo87iUmExcehNxQ5LasHc4fwTv3HnDuxn1mTJ7s5qrjjKTkVNZv3cHEMSOoEhPtcZk7Dx6z6/Bxpg/qRni1WoAFdBoGd4NJE7xZvUb6rc8ciUUd8irT/6jhb2/4cv9EGSmKaJVBnQ4lCDLpGbU3N7PDWSZiKNFybtseek5djNJJamZfJyW/hNi6cfjUbolW05CUy0exGLTIAqtgzbkD/tLov+Abgq04wyEnEVSh2HLugBNREHz8EA0aqWdD+etZkoUsrAFypT/KoDDyD/zFMc87uAq69AcYCvO4tWMN/ee8Rf8hZRbKH/xNIuifffQBX33+CUaDQbJotZgRgD5DR/Hhl9+42BI7OxuVf697CjDkYVFYkIriVVEF+EUWup0DwJSgWBZES5koVXwYR56kU2w08+DGDYp0euKbNKZu224I/qGs+nqJx238GhiNBr7/9hsio6Lp3W/Av/WNcUaGxv2N5OsfSLuhE7h2cDveCl9atGjmRhCyS0yVZhW0xUXk5eQQEO4ppHVHQV4euzasZuFLLyOXe7lkIZzf/xqNhpU//kD3nj2pOWigyzbsy2VnZbFx7Wr6DRxM5KChgEQeeveDF8ab2bBWuk+27Y8jwO8dlv/xFrPejmP9yTKDmcn9HjOwQ2rphsu5+DiPmKvU2ELiWLL8B/74pz8SHObnso5NpSZApyFOJ6dN3/ZEx+3g4obbnMzVEYIPaRgcNQe+eEnBPDYUyFAgw4zNpSbBBxkWd0NIAJLQUc3miz0BcYAskkq/OFUFBSmiEf8gJf+8cY/p7RszsmkdxMIcLILAPz+W3By/++FH1m7cRHFREd7eckwmKUPSrnkTdv/4FYEB/pLVafnrwDN6yJS+T1UlWVBKFopNVtRKuRuZje43iE79BgFgMZt4cOEEhTmZPErPYdPmzTRqUJ8WTRri6+vLrr1HK9zn//Dfgd8NUZDL5UyeMhVRFDl39ixLvvqSZs2a06uj1AHylwRlz4JKpWLe7Jl8/tUSXn150S9yvjAajSQ+TqRvv/7PPAalzcjBU+fR6/WMHNDP43yQ9OnfrVxFXLVqLFow3+O2SkpKWLZyOS1btmL2XPe+EJcunie+4QXGvLCIjRuk4GTNajlrVrue24RJkixJRZkzgifyZZAp2LtnN7m5uSxa/IpLZ1bn32LPnt0MHjLU7XgUCgXegojJZMLHxwdBEKhdM47c9GTCYqphFrwxmy2OegiA2NhY0tLS3YjCnYQE6jtJUOKqST7l/fv1RbTZ2H9Q6q/x1TdSl/QhQ4cR6ivHAHh7e7Nl+w6Cg4Np0rQZgiBw/NhR7t27R1y1OF5aMJ+wsHA3KdqznHWetdzzIDoqihkvTnVIxK5du8rePbtJf/qEA4cOoQ5S/9vbrgghIcHMnzubu9cu8uXyH4irWoUh/Xo/s3+FJ2gz3AM1/+ggx2jvrA5N+PrUdaa0aQhOBc/OZKGieoVdx8/x2otj3AusnQICO7F5kPiUU5duMufFSRUeq1UZxNbtO9DrDby5aJ7HbKDVamXl5p0EKwTenDRUWsa+f/9Qku7dpFbVbxg15FU275SC8z2blOzZ5BpoRbTKoM6oey4kwZkYOMtDHt+6yqObVxg9Yz7eigqsJFNuU6VrZ4TwGFILdPirB5CdlEneo6vYvP0RTVrJWQmQBcYiFqc5ejQIciWixVDW0dlbBcXplIdoNeOl8EPuG+CQHclUIYhmA351u6G9JTXpu7X2YwBqNGuHd3isQ3qyevs+ZDIZMXUbolAouXfrOqdPnyYsKoaN336Byt/fjSQ8C25BDkBp7UxwqTmavajVL1LlKGz1iywjW/4+3gyrFyc1uwoOJBc9pw4e4KftBzhz4y65BZ7Jxq9BYGAQ02fPIyM9nXWrf0Kl8mPw8JGOgZ3KJE92mYf9HvBEEpzRvM8w7h/ZgrFKKFSvVemyztAYLOzZuJ4R4yY6jqmy36RQU8COdSt5/bVXXb6XjvdhaRHtybPnufHgKYtmT0epVGLwUFd2aNc20nMLmLPwZeRyucv1SM3OIbbGKvr0n83BfdJ9uGpLOKu2uGaTJ/d7xLLXL+DYfLl+A85ITEpm4/ZdTJvwAhHhYeDkrGZHTl4+YVGSA57d1jPtp+s8LjFRBV9SMDgcjmrhx0NKHFmFaJRkYnT0a6gIIiJGbCjxkqxS5TLCvXxIshqY6BPJzybJRPKjRKmks1ZoEE1jIzBm5+CrjmDJ23PJtPrSvF1nlCERPElM5NjOjaiVXhw+fYHHT1PKSMKzarlK51cUv6hKslD6qvH3UVTavyZM5UOuzoS8k1TzFx2kRNTkcCvhMpu3bOLJ/btcv3q10uvyP/y/x++GKMjsxX2CQIeOHenQsSPXrl7h86+WUK1qVXr37IF3kKulqKcA93mDt6CgIF6cMpnVa9c5ZEnPg33bNjFuxODnIilHj59Aq9EwcMQYDHh+KJ8kPWXTli1MnTypwuLehLt32XP4OC9On+FRLrXqpx+Jq16DRS8vwmYDbx+LG0EA6NTxPrXifkZmmA9O8pryx5WTm8vK1T/Tr09vBgwcJM13GiCxL5+RmYlGoyEwMNDjcffo2YszRw/Qvd9g/H1kDBg4iO+/W86sOXPRmmw0a9Oe8+fO0aO91KwrKiqSc+cvuG3n6LETzJ9bVmj6JOkp1ePiaNwwnpjoGHp068a77/8Vg0H6qJqMRvAtc/To2as3JSUlbFi/juKiYrp07UqPnr14ZdFLDBk6VCqCf4776HnqY/6dRmkGg4F5s2exdctmx7S/v/8XXl64AL/gX2aj+7xoWL8uDevXJTEpma9XrEStDqJ/u2ZElnbz9CQ7sruNgGeSYJ8uNdoBY3YBczo25YcLt5nTsamLO5InsmDf55X7ibSKi8Sa5+q+7KhjsMM/lISHjzl65iLzp4z1OIZn81VLncOXfs7ggQOoX68eItLt7Dy6lp2bz4r1W5k6oDMxHppP7dq1C73RyDuzxiGKGfipVKxc7571C6p1DWXYUlT0p0qwdC2dZSEgfVyNBj0HN6+haq26LH55cYUFofoSLbn3rjB4xiLHtqoEq7gRqEClVpPzMIzCW3vwipCK5AWlGltxGlBKFAKrIWqSEEKl/hiCIMMmuudcBF0mXsE1y7o4W4wIXt54+YUik8mpO/kTHq19G5tFOk6bxeyyfu1mbbBYLJw6tJfsjAyaN2vKjLkLWPn9dyiUSl57/0PHshV1AX6eASDnQvvgRpJDjCpKsku133fOsDvjiKLI13cesebxU/QWKTCdMbgHn3z3AUFtB7ut91sgOiaGqTNmU5Cfx6Z1PyOTyWjeoQvVqtd8rvWfRRLs91SjCVPZ+v3XDJ82z83woaIagkJNAfgo8VWVkSpPZCHAx4vcnGy2rv6J1159BX+ZFVlJ2TNoJ+tms5lv1mymUf06LBrTF0oyoQRUTkGr0WhkydJl9OnVk8EDB2CQ+TiC0GKTlRtXL3PlylWmzJ6HXO7D+6+VZRac0bPlReJrfMXFu7UcfV+cYX+uLYpA1mzcgrfc22VwoLwcx2Kx8O2mPSyePAq5TYcFiSz0ziik8fVsDicXcsaicxAFb2RYER1ZhDB8uE3RM4lCNibCKftWaC02TF42wgRvfPxlrI1rwZzbNykqlYfKSo9Xl12AIiKbBiERNIqL5+jFM9x8+JTgKjWYPf8lzp84zNEPvpKK3st1Vrajom+XJzhnlpW+apRy6dmsGqhwSMw8ZaoyCg3s3byefUv/ga5I+j40adGK7UfP0K15A7fl/4f/HvxuiAK4B13NW7SkfbNGZGRmsmn3fkq0WgKDgug/YGCFwWl5VBa4RYSHYzaZ0Ov1LjKeCrdlMJCZX0RUJa5FIBUFrvx5DdXj4hgxbKhDylL+WA4fPUZqWhqvv7K4wnqHy1eucuvOHV5fONcjAXr86BHhEREOKZRMBtNnXmbN6nZuy+7eFsqSpV6VpsJPnDrN/fv3WbRgPt7e3h47COv1en5euw4/Pz8WzZqG3ENQbbPZ2LplM7PnzivrriqTOT5k/j4yQgJUZGgLHdvPyMh0u7aZWVmEhYW6fADDw0L561/e5WlyCr169mDxa28QERlJ8tOnREdHU6NaFXbvO0Cnzp3RFBSwZbPk9T58xEjUwcHodDrefP01Ll26yJ79Bz1eh1+SKXDOtFQmi6sIX37+mQtJkMlkvPryogqX/y1Rs3o1Xpo9jcKiIg7v3092Xj5KzPRpVIPo0DK3IlVEsKNvgic4j+Y6kwVLroaaIUEk5mmoGaqulCzYceTQcRb2aYv+wR0XmVL57s57jp6iWKtl/pSxkpOH0/HYg5MrCQ85evQIsxYulmpTSucrbUaHvCU1PYP1m3fwxpypyA2FpcddRpS0Wakk3b7B7P4dsT6VCmU/XpDKyvWD3K7D+H94cWN3ALXiqjqyCOV971MeP+DisYP0HzsFlX+AR5Jgs9m4eHAnem0xvca5WgmnFpRZQooFj/GObIDN+eQFp2BRJkcUy0ZsRZvV0XPBMU20IViMqCKqA6AKjUW02RAaD8ZqKCYkvitZl1ahCI1Bn5UEwLIFoylY/Cf6jJ+B2WTk5rG9FBdq6Nx7AMOHj8BsNrNx9U9s+e4L3vt+03P1PrHDY28Re+E6ODrBytQRKJB6dqgictzuT2fycPZhBivuu/q5f7FoKgrVs9/7vxbBIaFMnjYTo9HI4aPHOHX0CIIA7Tt3o0Zt90AXnPoOVEIW7M5HgiDQvvcALp84TJvu7s0swV2GdHDHZoa8MMlFUqJWyt3Iws3r17h15SLvvroQH3MBskKNg6xbcjOxAZn5Gn7YsocZfdsTpizGknTHsb48LAoZUCJT8emqTSyYMZWASM+25WfPnqPnuOkkFVuI8JPxzgc6Nqx1J397Vmj5eVcUVSMqdqvKzcvnu1VLmDB6ONWqxLr0Z3HG4ROnuHP3AdOG98VP5Qta6dkyZucQ0bym9F7LyaW6zhecEkGy0k7Ozn8/C1kYaYJr3FJD9CPe24+WvgHsLsqlZkgg17Mk69O3dp3i6MMUNiweh81mY8/pKyTtOU337t1YPLY/puBqHD5ylGmz5rHq07/hFxHrQhLs9Tf2/iUVEoPnrCGwf8fLkwRH1/aCPLZ88KbLvI+XriAy2l1K/D/8d+F3RRQ8wSBTEBwTx/gJcUCZFWhxUTENGjRwczCqrKmap6ZNg0a+wOat25k0YVyF69mxccN6Xhg7ttKHzj5qMmzIEGrVrOHYr/O2bDYb3//4E/Xq1WPslOk4b8l5u6fPniU1Na3SjMfBAwdcpEg2G7zxquci7f5Dsli7arzHj7Yoivy8dj3R0VFuPQ6cl9m3/wBPkp4yYdxY1Oqyl3h5WdKK5d8ybsIElwzI7du3iG9Y1lAtPT2d2NiyhmcJd+8yeOAAnLFj5y6mljv/wMBAQkNDqR4XR2FhIf7+fiQ/ldp+ZGRkSMeKyIrlknXj2PET8PPz4+bNG1SvWra/pJQ0goKCXI771+DflcJdOC81svHy8uLK+TOEh/0y29jfAkGBgYweJAUZ+tx0du7eT1Z+IVG+MnpVj8C7VJpkzyr4Rwc5sgrlvczLo1e9OL4/f4uaHdQALo3ayjdl23/uFm0jQhzLOBMLBVKzNnNOBj8dv0J846YM7CEVO9sDAOdCvU1bt2Mxm3lxzkLMgNm5cNVHeoYfZhSwd+deXnl5kVs9hJ28bNp/ml5RoRTcfoAqIgebTWD4Es8B2bkv/Bk4oxs1a0e4WVgC3D53guKCPLqMm4nKz0PBoM5E4p3rPLh6nta9BxMa5doQ0DlwNGdewSckDpmgcPRsEG0WBMFpVNhqLJMdARgLQekafImFyXgFS6PcqlBpf4JMhk9YLdBl4BesoljhQ2EpSUAQQBSJiqvJ9f1bMOr1DB0xkpCwcArycmkQVbb9vWeuEBxb3TESWZm85VnPj823zMa3fHMnO2FwhjN5uP6krDPs5j9Mp3XLFnh5PV//gN8KCoWCgf37UWyyYrVaOXfyGKePH0Gm9KNbv0EgKBxSDsDN/tT53+U7ZsfE1eTSsYMudqfguY9CRkoywaHhKJ5h2nBo/15kNguLZk9DnpcE2jxMj24CZX1SLj5O5XLCE2a0jscrOR3paj8oe2Y12WhK9Cw7cpXXXn8VZWAglOuLUmyycvLMWarEN3Oce7bWxNevC+Ch+/G4vzRheL8E4lp3ckxzJgA37iRw4vR53pw+VpJJOY2Q2wlDYnIqmw+fpmeXTiyaM93V+KD0uddl5pFQXIwVkVhBidap+slzBYIEK6IbcSjAjBr37EiozYdESwlFBTby/Qxcz5FIglwmw2KzMaRNPJsv3iHfx5+BHVowvFkzRFFEXqPM6GTXti306tDCYyYBcOm2XZkkyXH+FbjF2eGpcB3gWsJFx7/nvfku4yZOIiz817sT/Q//efzuiMKzpEPBISFMmCgFjrdu3WTJl1/QqHFj+nXt+MxRK0/bDQkNpaioyM1tp/yyBfn5IIoEh4RUuK3cnBxWf7+cebNnOgJQ5/MCyCzU8dPyb5g4fhxhVd1T0Pbtblu3GnVQEGPHjHbbhn2Z3JwcQkJDHKPtPhYjs+cpuXzJc3fjc+cb8uf3jSxbosc5Q20wGPh62bcMGTiQOnVqe7wGyTkaNqz+kQH9+roUZZeHj0XPyp/X0K5DB2JiXIOca+dOM23qFEcGIiMjnZatWjn2VaLTuRRxl5SU4CWXu2VATCYTN2/d4uWFCwD4+IN/kpWXz9nTp5HL5VgsFgaXHmNqZjZ+fn7UqVGdnJyyUWu5XM6FC+fp1r3Hry42rAjPK0PS6fRs3LKVPn37uSxvL7r+T6AyNwpfpYKR3doCkPzoPt8fOkdEoB+9qkQ63EIqQkmWzi2rIJMJhPn5kvQ4lQg/X4cfevkRYG1GLjcfpjAmMpLsLClod5OTmC0sOXSZsSMGU6O+dJ87kwSDTIHZbObrr76iUau2NGzavEJN+IkzZ8lITmTBy68gM5RJqSy5mQ57xeLMPNIepWIpMpENqKLU/OHoHE7f6+pxm9fP1iQ2NpZWrQtcgj6bzcapHRuIiqtJ+wGSTXCuzuRSgJqWX8jJrWupWrcB/SbNcdlu+bqFgvsXEWReqGs3I/fxHeRKfywGLWJxOkKA0wieWSfVJZRC1BcgBFUt+1sUEU0l+EWXjWyr1NL1zE88RtXuLyAIMuqMeh1vmY3cu5fwkntjKNbwxcsvArDi0CVCwsL5w7wXObZ3p8txJty6TuewMFCqPV6vXwr7by0D127iHpb1VUegiJCsNcU7j3lv4gBeH9nLpSbGuUbq/xJeXl506t6LTt17kZyVy8EdWygx2+gycATOn227Tard+cgOT2QhvlU7Eq6cp2Erdxcj51HgY/t30f2FaRU2YRNFkS1rfqJ5fD3aN66DLC8JS9IdbJpsCm4/AKAkI5cdD5JRlJgZEB1O3o0kt235RwfxIO8K5zXFzB/UCZ+sRGRWHbaIslqKYpMVjcHCxYsXqdF7LFefahBtcHRpFe6d9ODMBWzbEYYqYA6jxmkpXwKxZ9smDEYjL08a4XFdm83GqjXr8PNV8trUMdK3004SnLp/5958xPV7qdxIz6ODIpCr+rJrX4SZACfrUxuiCy3QYEZdLvRKRU8j3KWK9ymhts2PXJOVRVExxMaqOZqWQ2pBEdhgwSrJXf7ol+9Su0oUS9Zs4+V/fe2yjSf375Aa34AQv4qVDlqTzTE48mtQXi7oDMFiZMCwkXyy7IdftY//4f8evzui8EvQuHETGjduwq1bN/l4yTLad+hAq9ZtfvF2OnXswMXLl+nQTpLreNL37d2+mYljRldIZKxWKz/9+ANvvfJyhcXRaenprNqwhVcXvYSPj49Hm1RRFFm+bBldunalef3Ki9MyMjOIi6sOSCRhzgJfVq8t216njveZMvEE333fjouXmwCw6mdpvp0sXL9xkyPHjjHjxakeyY0ObzZt3IDRYGDxSwsrPDdRFDlw8BD3Hjxg8MCBxNZ27Vl9NyGBgIAAx/qiKJKZkeHIOJhMJkrKWRVu2rqNkcOGue1r1Zq1TBxflgHq2rsfqSkpgHtw/ejhA5o1b8Grr7/Bh//6JwATJk3C39+fTz/+iPf+/GeWffcdTZo09Xhe/y6ce1486+UcGxtLZkaGy3IlJSWERlf5TY/JGe4+9aV/O9UA2DTZVAkLZk7P1qTmF/HjyWvEhQTSMcj/F0lJALqGBrH7YTKjGtRw1Dk4CEPp30dvPqGlr3tfD+dmS8v3nWHmiAGEVZGcfJwL9wwyBdkFxSxZ8hVjp0xHUAU6GlmBa7B0cPcOIkKCpeVKr7tNpUZWrnjaahNReUv3rE0U+MPROWy5190xv339YyycdpLP1w/h4lVplG/PJgUKrxBe/YeWCD8fEh4ncWLnJroNGolQgf/31VNHuX//Pp2GjMHX3zWgcC5svXX1Msk3LhJUownq6KZonYJHLy8vrMZChz0qgE2biSy0ruNv0aJD5lV2HURtJv7VW7kdT8nTq6iqNEEQZKgCFaTtX0rG1eMAmMst++DWNRrWqcmg0eO5d+MqmoJ8ho0cQ3S16uzavJGP3vsT73/8JQMrGWB41jPikdTaC9udCIPLPG0ehEUhU2cSV/Um6fmFLiRBCA4nsvPISvf7n4bGYCEwSM3wCVNJzMjh2M5NmGTetO8/HFlpFq+izEJ51GnUjL3rfvJIFOy4+yQZZUikR/MCqXGWF/u2b6JnywY0iAnFknCGkgd3yL35yFHvUZhezLrsTJp6+2Ewe5HwsOyYQgIVBET74xep4mpGLslFJczp2gKFt1waqXf6nezSmOwSE8bSwDslT8f1VTVJPlNGEqLqXqH7uEuc39yWJ3ekZ2zNz3IsNj+WLrMgk0lubqtXLKN7m2a0rlt6/5d7lq8mPOTwuSuMbt+YqhGh2JLvujik2QcHrp66zu4bj4myyBkYEMrt7LKMqRWRh5TQzCnT8QQdMU71CRkYXexSS7CgxMutU3MhZnxLnZMAjmsL+D5Rynz5KnwwW8oGODYePUeHxnXp0a4F8bXieJScTv/ObejYohFnL17h/Y++4J13/8yUF6e5yHTtgyT2TJ6nhrO/FaKiY8nJynLZX5HRwsIpY3/T/fwPvz1+N0TBhlBhbwFneFrGThhOHDvG10u+YuKkyW5Bb2Wo06QFP69YRod27TxuXy/4oNfpUZUWfnkiC6tX/sTEyZOx+PhhwV3m9OjhQw4ePMCbi+a7PMjOy+nw5puvlzBo8BCp6dYzHuS6deuxccN6urVtwa59cgcJAJg80cjf3/PGy6s3E8YFM2eB0TF/1c8KBvY3kpf/ExHhYcx/5Q1ppXL7u3rtOgdPnGbk6DFUrVoVC64jd0qbEVEUOXr8BLdu36ZPr57069vH7dpkZWVy7NhR5s1f4NCI79y2jUGDy+wVt23dwvCRIxyBtclkQleiwzc00uW4Ep8kERgQwJUrV1EolbTt2pOhw4azfesWBg0eyrfLpD6BHTt14szp09StJxGWOfPmMWfePJfjeuOtt1nz82qGDhrI4aPHqVW7LJuSkZHOxfMXyMvLdQTF9s7MUlsRCWGhodSqWYPatWo57g/7tXnejEJAQAAf/uufGIsLWThfkpF1690XudwLi8XzaPhvicpsUe0Sgyohgczs0IS7mXksv3KPwXWrEVMqP7I7zri4zZTLBCjlXhitrkTQ2Qtfm1HIk+IS2lWiOz50+zHt6lcnrHot8A91KdzTmmykZGXx44rl9Bw7gxxRSW6O1uN2ju/eQuv4ujRr3bZspM2eYSmVtZg02SgiwlEDsgAV/tFBHE5s5UISRtY/xh87LyEgtDHHP0pg3leR/LRdGs3fut6HgYNU6MxbycjJY+6iV5HJZA7SYs8mZKencHrfTpq270zv8Z3cjjWj0ECGxsCdmzfISbiIEFqTkObDpGumMaDTaACp9sCSdRufKm2wmvTSNF0ugiIQQVZKdEqyEVSuREXhLSAPctUQa3OzMBWkEhoWiu7pBap06oWxXgueHN1E5xdmcGqD1FshKCyCwtxsoqpKstAO3Xuz9cwNF2nCzIWLOXvyGH9cvAAf4VN695Okhf4+MjQaDefPnSUnLRlEEQRBappl0rlIOwL8/akZV5X6sWGoA51IVHlHLJeTKJsnD4vCPziUjTtOIFdv4ZM35iKTyZjz92/QGyvvKvxr8CwnIef6gOwSE/6BQbQeMo6CnCwOrPmOBq07Ur1BY8cy5WVsz4PyWYPLxw/Rbcgox9/l9eapj++jsmglkpB0h5TNO8i6nsHT+3mk6S2kG8yctWqoix+PsAJWHjvto5beQmPgqkaD0d+LYa3KSGpFTbIi/HzwV0j3jPlxFMlnypZr0beQwYuU+JoaMXpkFN//1cieTdL3ZcNab4YMsREefo4bF88xb+Jo/O1CXqc6Co22hNX7T1GvWjSvDO2GTZPtUhNlf8c9fJjC3juJ+OWXMDwgHJkg8PR+qXmDRbJAvUURDQnAqzTo12PFhI2gUlmRHis+CMidSMETdDQgAH+5jMjS88w0mLlj09FJEUSO3EgjRRA+DYNRa7MY1KkVPx887Vg/NNCfFvVqIA+LIj4Mbm4v6x8EgH8ot1NyePGl18nNzeX1N98qOzeDgZNnzpD2NAmlFyjlMkeNkqL01pSLFnyVvlSvXo26deoQHhbm+OaVr3dwRvlMrbePN/fu3OLVOdN491+fEKQOZu0P33Hi2BG3df+H/y78bojC86KizscAXbt3p027dqxZvYoaNWvSs1fv59qmTCbDhFeFkqdbt27StGljl2nOZOHihQtUqVqVqKgyv3LnbT16+JDjx44yd958ZKLnD5PVamXpV18wbsxoYmOiPRYRl4dCoQCjNNoxeKCFd94y8Pd/KZk80S4vKhuVWbZECh5W/axg3At3SXyymbFjRhMdFeXWNyAvL58169YTH9+At16W5D2exrEOnb7AnWuX6N61q0MGVP4a6nQ6Vq9cyeJXX3NMy87KorCokNp1JLmDwWCgUKMhMjLKsY3NO3fQf/hIx9+iKPLx39/nx1WrSE/PcNlHYGAg3t4+3L51k959+jJ+4kQ++uBfTJ8x0yV4LykpwWw2ExQUJPnMCwITJ03m3t27rFr5E9NnzuLIoYNYLBaioqPp2KkTYeWcqJx/D1EUycvP5/HjRLZu34neoHcEPIgiMTVq069rx2daj3725Vd89MEHvP72H1gwbw7pGRncun0HX19fLBZ9pev+pnD6uJaHXSbUICqUev07sOHUNURgaN1qlGQWOUiCJ+cZZ0JQXkNtr3PISS/Gq8TqUu/gLGHKKNKSbREZ0qa1C0nItXhTbDKTkpXHyu+/pcu4mTwstEBhkUd5xuldm2jUqBE1Gres9FLI1BGOYMLbX5JL9eIyC1tv4qtLoxlZ/xj/6LEMmeCFeDUBo8XEkknZ2AxDWLW/FjMmPyTryTq69O7H8KFDHRKLCD8fsktMBHrZ2L9xFSq/AGYtWESuXgoa7VIlkEjC7Vu3uXX2OARVRd16OPpikyOLoNNo0OWlSR2eM64jj2qCKlQK+nV56Vjy85CF1EOuLB3d1GfgW7MT+gJp1M9bZkH0kd5ZqtBYdHlpFNzYieHJaazaHHJLY5V7q/+Cb2AwSr8AMu/fpE7zNvQcM5VTOzZQtUZtqjllD01GI8mFGmJC1Y7sYYcu3Xnzj39m5fff0apNW04c2oeupIQgtZoeHdpQpU8Pxz1hzxw4k9fComISU9I4cOIMhTlZLp71YcGBDOjSDqWi8iZjC2dOJiQ6hilv/4s5L04mrko0K9ZvJTIsFMMvbJD2LFhtoiOIKj+ia/+7PEmAst/e4BNE/8lzuH3uBEc2/EiX4ePx9pHeq44iZw/1LwDBYeEI2jxEf8+E22QyUrVcE0Q7sQuWW9m6YyNvjOmF6fox7q/eT8LJFK5qDGgtNmyIXKeIePxRVtB1+HGJiQtJRTQKV9FbHetxmYoQFaigYx8j3gWF7PwuiI6DtUz9YyEyWQBhqlAi/Hz48Asj/t4yNqz1ZvqcHJ4+/Qk/v3gWzp8r3Ts6o0NCZLPZ2Hz8AgXZWUzr3gpfhQ/6B2WF1vZ32pPHqex9lEKgSWRgTARGuRRIF2dIAw1ZRum3uo+WGqhczv0+Who7FSg/poQGThIjI1bkyAiSe9FCrSQkUMF1fTHbzJk8sRo4bdAA8L02k9ir/phtNu6l5dCmcQNmjh7I6Su3OHXlJoP693ZItmzpDygu0aHyVaDwke77+Hp1+Pbrrxjxwnjmzl/Azt17yc/PQ5T7UKdpa1q06+T4DpWvF/L3kaHT6XialMSJC1fIzclBFEXs3EDw8aVLz96ogz1Lwezo07MnX69cx+ThA+jYtQcjxk1k46rvCQsNJTPz+Zt3PgteAWr3DOK/gf91Zi7D75ooPKtHgafA3tfXlxmzZnPu7Fl2bNvG0OHDn2s9hVJZofvR1cuXmTnJvdjZjosXL7Bg4UsVzt+7ZzcLF73sUnRdHj/8tJIJ48Y6XH+e5eVvJxFms8XRq+BPfzDQrKmFgf2ldKxzEbfBoKN/392AgoXzomncaKHbdi0WC+s2bMJkNjF75nQX7b7z8dy7e5cD+/fRuUsX5ix6tULyduXyJc6cPs3c+QscLymdTsdPP/7AK6+VdaBd+eOPjB4zxvG3RqMhPz+P6FK3BJPJxNtvvM73K77j08+/5P33/oymoIDeffow5cVptG/fgdWrVvKXd//Evz78mCeJiSTcuUOHDh155+23sFqt3Ll9m1MnTwDw48rVDB9ZJjkYOWo0A/v1oWbNWkyYNFmShT0HBEEgLDSUsNBQ2rZp7TJPFEUePXrMp198yaAB/WlQv34FW5Gu59//KjWs0mq15OVJgbVe/58nCZ4kR+DqQuS2jkxgaL04nhZqWX3rEZObeHZuKY86IYFcu59G3SCnOpRSYnArOZcqQsX61z13Enll2gipA6sLSZAC8B9WrqR+/4ncTCsBypyBUgt0jsZl984dJTC6JuoaDdz12aVZBcAhP7K76gT4Kij0kRMUFcpLbTYRH/aEHjWuIBPKxr112QV4W62MafspUIvRffzo1msSev8oFx/yAr2Z++eOcv/hI7oPGU2tWM+64gdPUji9ZxvWoBjUrYahLza5kQQAqy4fU8Yt/Gt1xL+K1MxQFEWsmTcJbvMCxhKp66tQkolX7fb4BMc6XI2KE/YS2HAggiDgGxSEOf0y+be2oW46GFtJFkWPLlKnU3+i6zWjba9+GNIfsfxPL9G610B8lErunD9Byy492f3DlxTm51GQl8vx/bsBGD5hKv/45AvH+fTq048/vfkqK5d/zaLFrxJebiTbWVok02lc7scgGTSPC6d5nETa7URWHhZFZm4+yzftpnHdmnRv08zjtQQwegcw5e1/AZCtMxNsk0aAs3IryUr8hvBUJ+N8DzoTRDsate9KjYbNOPDzcibNWYRXBbJP51qXRq07cO38aZr1Guw2X19SQky4K4FwDhq3r1vFnNEDseYlU3D7ASVZOgdJAHhICQ0qIQkA+ZgotFmpa3UlMeULzWV6Df5OmvpWzZuTfe8ajVu2o/HLeho1sTFwoEiuXjqvCD8f1Eo5fnKBKTMugZBB6zY6Ro+ci59gQabXuJDLiwmPOHXjHsNb1KJ6i1oYs3McpiF2gpCTnMX2+0l46ywMqxKJt0xG5vVs8oukJdP0FrKMFvIsZu5TQjQKR+YA4AFaquLryC7kYMQfueNvkGoQGuBPpEJOSKCCR1ECb599TOdqkYys3ZiPj15iRvvGeMlkLJgwAIsqiDHvfYOPtzc9uvdg5rsfUy06gm/3nSXxu21YBRlrf/5Z+u0C/Mk9u92xr4bx8fj7qVi0cD5//Ou/UKrDHNLLPIOU/akQciVVa9enqhPpt79bS4qL2LlzJwqlkj5DRjpIvSeDgsnDpYzho8QnAFitlt+UJPwP/xn8bonCr9XPte/QgX1793DxwgXatG3rmF5R8N25S1dOnTxBn779HPu3L+sll6PDmwAPPV9TUlKoUaNGhcefkZlJ3epVKyUJT5OTCQoKcrMGfRZRAnhh9Cj+8cFHdOrYgapVYunWJZrMLC1paemkpac7HlJflYqunTszfKi7NZ3SZuTo8RPcvHWLF0aPIjrKna0bZArycnNZv34dNWvW5KWXF7ukJ52PtaioiJ9Xr6JhfENeenmxY3pxcTHLvvmaeQvKah327N5Fq9atCCntuiyKIj9+v4J5C8qITELCHb5f8R0Aly9fJCklzeXYLl64QL369VGpVLz1xmt8+90KuvfoidVqpaS4mLCICBo3acK1q1c4c+EScXFxWK1Wbt++xYVz5/BVqZi3YCF/eudtDh7Yz9t//CONGrlmkJyvw/Pcm4IgUKdObV5b/DJbtm3n1u07jBnlWQ8dGRlJo4YNSU9PZ/iYsRzet4e7N687uk//1qjMDs85m1DekcgZqqhQGkSFUmKysOdhCgPrVK1wWTvqinK252VRNyjAJXNQnKFFLghYER2jeHb4Raqw2kS8vbwcLjV2uVGxyYzGYOF2VhElZpGcEhupBTryCtwJVpRKRlLiE/q1lxo32QOP8tIQm68aImohd9K4jx8XyvvLVtO2XnWq1omjf+1MzNZo0guKSEzKILOoBHl+Ib7RVWjXsA4/jGoqZT2cMifFJisP7t7hwP79dOzZl869+pFdYnILFk0GA/u3bEBrERDr98VUYgUPBKEkJxlj2jUEuYKQ1uMQBAGVWo1os1JwfRchTXrhHRCOl0aDzJyPWfQloEYTx740tw8S1mwA6tJaD4tBy8OjUpFk0f2jDP7qsKNRXHSQkvzMdB4X5tC2Wx9O7tyIOiCAboNHIggystPTiK4aR1RsVY7v382KbQfo0K4toiiSlPiYWxfPYjIZ+fs//sU7b7/JpfPneO3lRfTu1dOdIIBjRPhZsORmEgbM69eBE9cT+HrtdmaPGYxcXi6Q9Q9FbrXStWN7HjxOZOALU0hPuELuo5uE1W7icdu/BexZg/IuMeW73AIVuh3FRYUzbNwU9qz9gSGTZ7ksD+4EI0AdTFFhmUlArs7kqHGxWCGloISEHC1hKh8i/HzQGCyO4zPo9QQFBmBKzEaXmef2LJoR8a2EJIiIJKOno5faZboqIhiZOkIaBXbKdNg7AAP069qRzz79hGSrjujYKgzsXgW5WQ7Z6WRlpHM9PRUvmwWZTEb9+IZ8/GVfAuzaGVvZ9UzLzGb95i20iK/Lq+MGuQ146LIL0Gbksu9RKhlZGgZXi8EvrFQOdD2bW1klZBktDqnRE/QYsLrIjUAiCUF4E4r0O+iwkonRJbuQjJ4oFPQM8yeuXih+kSqGbJeag55KzmL/52/w/sJxjvesNSiIpWcf8NKLE1j47j/pOGIyf1gwg4SHiTxJSqZalVj8g8Pw8fHh67++zZR+HcE/lJRCAyf2bidTo+XP7/+NBfPn8XDsKEZNepFeI8a73Av2/4epfByWuc73AHjIdsmUtBs0Bl1GEptXfMW4qTPwD5DOs/z7c/SEKRzev4cfv/qYaVMmcfHKNbq2a8Xtu/c93zT/w38FfrdE4bdA/wED+WHFd0THxFC1auWBTPXq1TlySPLUtweCdrKg8lWh0+nw9lD3cOL4MYaPGOmynjOOHjvOoAH9K933lm3bHdKdinDg4CGSU6V29YIg0KxJE1q1bEFoaAhvv/EaaekZpKSmcvXadQIDA4iNiaVjh/aEhYZWWnh6JyGB/QcP0bVzZ4/HYJAp0Ol0bFz/PTIvL2bMnOXRJcguD9q/by+pKSlMfXGai+wn6e5N9u4/wGsL5uDrK/VnuHnzBmaTmY4tmjjqEH7evIPUlBQiQ4OJjIwkJCRUkvIA1WvU4O13/uSy3+TkZO7cvkXf/v2ZPXcen33yMQGBgWzetp12rVry8OEDEu8nYJT5sG3LZv74h7fwlnvToWMnmjRtyovTZzg6xs6bv4CtWzYzdOBAZsyaxVt/eMfjtfslTdUEQWDUiOEk3L3LF0u+Zt7sWS4dakFy8jqyfw+RVatz+sxZ6VzjqjF2zGjWb9z0XPv5d1A+m2APzirLJpRHq8a1KLj/lDsmM62rlRFMZ7kRSBIjuUyGvsjkRhLyi4wYLBa0opVQoxchga731/WsPDo2qS1pnEsDDa3J5hgtu3rlKj7RdVxIgq50VFBVuq37J3dTr+tgooOULk5DjuMz2bhy8yYJ1y6DIOBl1lO1Siz92jZBWSuU9//5TzKSHpKSmcOZjGy89FpiY6vTtVkLIoOD8PKSlaXDnaRRABnp6WzespnwqjWYOOclxz1llyEBZBfruXRkD2npWdjqdMZo8sZQZHSTGQFYNCno0m7jX7szMoU/fsGlVpTeBnKv7iO6TT+8/e3TlBTceUB0m2Fl55p6F5m1kMSfpuMdEIKXQuXoCg3Q6ZUvaV1DkhlEBykx6nXcPLKTnsPH4uvnz8m92zDodSz+1xK+fXcxe7es59OfNtKqQ2eO7dvJis8/ZIO/Hy1at6VufEOGjxqDys8Pfx8ZE0YO4cChw8xdsJBeXTvz6d/fxd/Pz40k/JJ7EKBrs3gaFBTyz6++Y+H0iagD/R2/BUiF3oe2riWkZiN0ej1yuRcqlS/vv/0a7/7z41+0r+eBc7DliRiA6+8PrmTB+R6tWy0GoWs3bh7dQ6/Bw922k6szuWQVSswiNpuN/NL9OhdA5xfrpbqXUvLQs7bUXFCjKUDt6w3aPIzZOQ5JYKRCjtZiwowN72f0CkjBQFV8iVJ6ExKowC9ShSoqFEVEuIMkJOZq2Xd4J3K5pOIPCIti+NAhWHz8eOeNV8nNySE1NYXHNy5gNpmJrVKFds0a4t+ju0um1+6+o7QZkek1FBUXs27tRgL8VCyaOFKq7ypHNnXZBRy6lMCNxEx6xUbStVbZoFlmaWM1e/akCDOP0VEdFcGUfccsiNyhiKr4ElJKEqyI3KPYpcC5BAvZGLlCIceK8lDdeEpIgApzacOTDW9Nwys4EltpLZQoiny85zwvjh9JQrpE9PQGA++/Op9vVm3gpT//i3/86U1enTmJW9evsmLDTvYcPUnzhvWJb9yMPgOHogqTspeX7zzk4rkz/OVPf2D39q3Mee9TxADXTJIzaQA8vhPt8+3zqteuS4PaNVn13VJGjhxJXPUa+PvIXOoX3v/kS3Jzsjl2cB82qxU/wcJ7b73KyCmzPG7/f/jvwO+GKBiNRqxWK15eXr9pNf7UadP56ovPWbT4leda3lOn58CgQAoKCjwWSJdoSwj1lVdYeFxUVFRpYfWdhASaNG7s1lHTGes2bCQurhozp0l2hKIo8ukXX3Lj1i2mT52CQqGgZo3q1KxR/TnOUMKD1Cz2bd9M/bp1eWXRSx4DYh3e7NiyhezsbF4YOxZ1cLCHLUnIzcnh59Wr6N2nL/0HDHSZd2jXNkpKSlj80kLHfh7fvsb18+dcejZcvXadgux0R/agd9++jBo1hh3bt/HaG2/Qp28/F/tUnU7H5o0baNa8OfF16xAREcGho8dp3aYNT58+5eHDB/zhzTeIiozk6PETTJ00gfWbtvLkSSJfLPnaZVsgWeXOmDWb+IaNGNC3N1OnTXPIn8rjl3Zgjm/QgIiICD7+7AteXjjfTeJms4n06dWTg4eP0KZjZw7u2c1PK5b/5kRBLO2o+yySUFk2oTx614vj2zM3aBITjkLu2m8BcOm34CUIaNKL8Sq9D+xp/iKjSKrNRIDFhzS9hdjSztp+kSoScjT07i2NPNpUZdmE7BIpQEq4dpXAlv0ocCIJzm5AVrMRH5uNGlUiHCOp9myCPeC4euUyd+/eZdLMsp4ku3ft5PXPfuBff/8rALGBYcQ2AedWhi6F4OXkWxpNIes2bMAvJJyJ02ejdYoX1Uq5I4A8efwoyffvUK1tL+QRrcgr0DvOwZkgiFYz2vtHEVShCCF1kSn8y/oeaJ9QkP6Amv0mIZTK/EzF+eQlHCKu+zjHNGNhLt4lT8g8tVY6fplA/0V/5cml46gHj6N1114EhUuEJzpISaivN1vWrKZtj35M7So5g/1z2U907TsIm83G3i3r6dp3IF07d+Lpk0f0GTCIc6dOcGjPEabPX0SndlI2199HJj0vfn6M6tuVbq12ExPfkqED+jC4U0vH9bPkZrroyJ8F54Z9EcERvPLCQL7auJPJQ/q4ddi2WCwsnjeTv370OfXadGXfpp956+X5vzlRMP9KAwLnoM1ebFwnvhEpSYmkPHlM1Rq13OY7k4WY6jVJf5qIMrIaGYUGUgt0Dinek5xieJLvWD86SEl8uD8PLl2kbavmWHJTPTZWzMZIBJVLMjWYiZf7EesrJyBaImr2bAL+oeQaYeX6Tbz7+suO78CNOwlMnjKZn1dLnaurhaupFq6G5o2ROfVbqKjTsNFoZNP6zRhNJiaNGIS/n8rxHMrDorAg3RuXbz7i4NV7NFf6MTIoArQiJaXN1YoztNzKKnFkER5QghcCzQh0cSoqwswjdDQkwOFUZMHGTYqJJ8DRO8GMjfuUcA3pvacxmVm1YDSXMwsYK/diQLdOxNeQHO3sBd4rdh1l7IjBVOspOQR99vc/M2PSOLDqWbf7EBFhoUybMJbU9AwaN6iPyWxm84499O3dm8EjxzgMHQC8vb3p2KUbSzfto1v9WMJ//oERc8ukvnbYjRKi1Uo3+2XnrJYzWVAolSx+5VXWrvoJc0khzZq3cCMLAwcN5tjBfXRt24IdmzcyuN/z1Yr+D//v8LshCiajiZU//oDNZkOtUjJ+7JhKg+fnhQozoYHuloueUFGdQo/2rVm7bZfkRFQOMWFqMjIzPcp1QCq0LSjQEBys9jjfaDQRrPY8z44B/fry9bLlZGVlk50tBXKdO3akdavKCzI94d79+xw8dIQqVWJZMHeOx0JbURQ5cuw41xLuM2ToMOLi4ird5oljx3j48AELXlrkYp9qNBpZ8d1yurdvQ4vmzRzT9+0/QFFxsQtJuHL1Ggl37zF/zmwePU3l26Xf8POqVTQolS/VqOnec2LF8m+ZNWcuBQUFyOVyTp+7QESpfCsuLg6NVofcVMJX3yylU4cOvPnu+1y/cxetVutGEuyYMnECO7ZvA6BBndpotJU3E3sWrFYrKWlpmIxGLl+5Snh4GP2HDCM2OppLV69iMVtQqlQkPn5MeHgEKpWKm7duE1WtOhvX/vyr9u0JeQUalv24Gm+riXFD+zuZ+FWMyjoy29GoTlW0Sm+CQ4I8rmPPIsToBZ4IekKM0n2XVlrEazBDss1IWKm2OctooQUQkKWjVZUwzjxMZkCnXtgoyyaA9LELrxVPVtI9CKnlyCT4lxYxqwIVNKoWSFa+iuggpUeSANC0WXOOHD7M3j27SUtNxWSDanE1WPzu3zHISjNAHnzKHXUNeg2opIZgacUmtm7eiK9KxQtTpqNSqdCabMhLNb8gjTI/uHOLo0ePUK1pW5oOmUKGxkBeWp4bSdAXZGHT5WEtSEIe2RhBLn20VaGxiKJI4d2j+IeFEdFmqIMQaFMfUPT0Nk1HTEOQlRYx2op5cOscXUdPIyIslGNL/4KxMA8KM2jVvQ/VG5fZpNoDhaPbN9Kp3xCCwyMIDg3j79/8SPO2HQBplP5ckhSUHdy5ieCQUOYufoOwiEgunT1Nx7aSVbWDJJRep/VbdzJ5rtR5fPikGZgTryKU5LtkEsrfP/YGXp4giiI5RVqyc/U8TsuidcO69JnxOn26dWbX4RMYTSZUKj9SMzIwGIxUqxJDcmo6TTr14t03Fle43X8XJcWFbFktOdN07tWPiOiyol5PvQvKo3x/DTsatWjFgzu3XIiCp3XrNG7O4X27qdExgktP8l2keFqtgZSnGsffV0vrd5q0aMOJg9up06WB27X2l8sIsyh4io7gSsiCn0zm0OL7RaqIaF5TyiZUb4hNpSZEBeGhIew6fo60tHQAwsLC+H7F927feueaA5uv2m1Qpri4mE1bt2EyGhk5YjiRfvIy0m6XDQLJWbls3LyH6ioF46Ki0GXrHZIq51qExyUmdFi5h5Y6+BFQLnRKRo8OK82dyIMWCw8ooREB+JQSBzM2blHEEFUYM1rUYvbpKwBkmG3Ujg5jzKC+QFl3eUtuJseu3qFO1ShqVYuhc5sWDBs8iPkzpko71uk5sXszAIeOnyQtX8vLc2fw6EmSRBR6dvP4W1y+foNhPToCsOeHJfQeO42A4LKswtWnGpcO7xXBnoENV3mDvojExylotcU0aVif2TOmM3joMLZt3YK2pASZICMgSM2Du3do0qw5N69fY+ioMfTp3uWZ+/kf/t/id0MUAgIDmDZjJgCZTx6ybsNGJoyr3H+3ooLf8i8Vb29vR8FvZWjRoiVXrl2jU4cOLtP9/Pwwa4s8rjNk0EBWrv65wm7GA/r1Y+/+/RWeS1BQEE+Skio9rqCgIGbPmI7JbKqQkFQGURQ5e/48l69cpV6dOiycP7dCOdKVq9c4efo0Pbp14/UF3SttfqfX6/nh+xW0aNGSGbNmu8xLSUlhw7q1zJg5i6gg6WNk70jdqFFD+vfr61j27PnzPH2azOhJUzEBe3ZJTZsiI6Mo1BRy5+pFGlQv+9gaZAp2bN9Oz1698ff3x9/fn7bt2nPu3DmGOvVdWPr1Et5+8w2qxcVx92EieZ9+wb49ewCpS7SnOoQfVq4iNTWVv/zpj2zbuoXTp07RqXNnj+dfWVbhaXIy4ydP5crVa4AkQRJFUfK6t0ojjh/98+/0GTKciaX3Rpu2bVmzfoPUMG5Af4qNv701alhoCHNenIQ+N4PlazezeOyASrMJz0MSAMIDVOQW6aga4po9s3uvgzRyV0vhy86cbOqKElGzO4poLTasgMZmQV760b2qMRCSoaVqpIp9KVkMoLSGoHRk3p42N4XUQHN9M0EhtRxSI12REVWggtBgX6qEBVDiIxAf7u9CElx+OwEWvLSIzIwMBgwcJB1T6SiZJ2tAB0rdaPCLJOnuTQ4eOkJERDgTps/2KJXQGCykpzzl+P7dhFWvS+cXppNZZCRDY3B8uJ1Jgi4/E2vOPQS5N96x0sCAb3AkqtBYbCY92gdHCGnck6C4sjop45MLeIsijQdNAKBKsIqirFSybp6k/6RZyGQyTtw551i+JD0RPy8bEe3akV1SlvYoeJxAYHAIUVXjiPDzodfg4Vw6c8JBFAAunznJwgnDUYeE0KPvQHZuXs/e7VsAqbPviKFlRbV2vDB8MJ3atWbl+k2898FnfPfjKqb1aOXwsfd0zzl36LbDGhjEkPeWcfj6A8c0AcnFzmqzce/JWhZNn8CMaS/y4ZdLWb1hC76+Sh5dOQPAS2/9iRLdrxsI8ITQ0FCmz5xNvs7E6qVfMGG2VJP1LJLgqaDZGcEhYRTk5VY43z4qHB2kJDtPg1JjcGSn7DCKIeQ/eYRF8EelVnMjUQqow1QRFGgN2FTBKCLCiWheOjBzPRuyJIOApzYRD2V6DttPM940jvQjqlkEEc1rEtyoLj7NurvI8GbNW8iDhw8Z0K9fhQOBDpKgzcO+hH39rKQH7Ni2DW+/QEYPHUhApCQfsh+WnSzkFxaxbs9Rgk2FzOnZioLbiWQ9znBIHe0DFCA5NSWjpwQLzQh06apsQySBYsLwoZrTsEomBvIxO4iDv1xGoI/AGXMxf4itRqOB9fkxpUz6dPLKHRrVrUFB2lOCY8sG3nJEbx6lZjJzSE8AJo0YxK7j51g460XHMmkZmdRoJvXGmDDuBU6cPMWadesB+GbVBv7413+6vKOKTVbqxTdiz6W7HD5ymM/eWsiWrz9k6h8/ANybNzobPpSHKIr8+Pe32b72J8c0Ly8vqVGjKPLxhx/Qf8BAFr7+NiePHeFf7/8ZgA37jwOwY+1PHNm/x+O2/4f/HvxuiIIzomrUQXb1Jg8ePqRuncodVZwddyoK2sJDQynKSnXrhFy+10H9Bg1Y88MpN6IAUKd2LR7cv0/devVc1y/V61fkmBQcrCY/v8DNFtIOVUgEBdeuVXqOAKGhlVuTeYLVamXHrt2kpaXTvl1bFi2YX+Gy9+7fZ9+Bg7Ro3pzFL5UVEldExs6fO8fFC+eZ8uI0N2nViWPHeJr8lFdeex2ZTIYB0OVmsvz775kwbixVq5Q1Ejt6/AQajYZxL4xxWLBeunaDRQvmc+XyZT781z8AGDZksCNb8ejWVWRmPQ0blXWgbt+hAxcvnHcQBU1BASdPSC5HKcnJ1K5bl85R0dSrX5+UlBRiKpAUeXl5ERcXxxdLvubSxQu8tGAeI0aOIkitplGjRnTt1v2ZmS5RFGnQpDn+fn6o1UG8NH8eo0eMIDY2Bl9fXx48fMiWbTsYNHAAO/bsZfKUqchKR31//F7yqB/zwgsUFRVWtpt/D6X78VP50rFhTfafvkiv+tV+seSofNM0P5OFu5l5NK8e7XF5+yhecbGZPJOVLFsZQbCjGr4ko6cmfo55+UVGooBqYWoep6QTF9eSYpPVEXRlaAwIgoDOaCXAYkYml0b/7SShdY0QooOUFJZmEqL9vaXn1uZa1G3zVROskBFcPdZxH5ZPqYNn95ozJ4+TcPs2terUZcaCRRXeH9r8LHau24R/aCQ9xk4n32BxpP/t9RX2oE6Xl4ZVm4Ml/QpeYfWQKQLwDZYyGqrQWLyshRhSrxHRbjQGrR6txoAqwAvN5X2E1m2OOq6+4+PvVZiG9ckl5ixchCAI5OpMvPzRMrYs+RdP7lzn4FrpnmvauRfRkdLvV1yQR8LVCwydMtshb2nWpgO71v3kOB+zycTRfTsRBAFNfj7hERFUr1mbli1acuniOZo2bADgkk0AiTRXiYnmnVkTOX70KG98vIyku53wtVqoFRFCp6hQrLllv0152AnDgD8v5erjFKJDAunbtjnzXxxLnbgqqMJiyM3X8PX6HUwaM4IjJ8/Qsmlj2rVqgc1q5btVaxGAJvENKtzHr4VU5OnDoNHj2b1xDcPGT3GZ/yxS4AnePj5YzK7t7jyRj4xCA0V6i8uIsYN8GmUYHx1AGdeuVNLWkBtAtFpJi47d2XX5PgMjIlBF5OAfHURAlo7GQGyRkZxiA1aLlSDB29EPACDWV8oiZGGrkCQ4viEyqN6gCfajLv/NdiYJltxM5NIq3Lxzl+NHjxAdEcb0QV0kW1C5DZuTPMnmq6bQ4sXmn5Yjl3sxfeQAZCn3KLj9AG1GoQtJsA9QZFvMPERLDEqqleucbM8wNMDfUcRtlyb54kV86fK1/HwIVMBZsZj3ezen3gApk/Za41qE+Ply5M4T1py9BWdv0aJWFbqWEgWjycSP2/bz6tCy3ixd2rbk7Q+/cvwtiiKbduzGT6UqJbUCnTp2oF2b1hw/eYpePXu6HLOz/a5Fpabb4FHcv3uXvSu/wcs/GLlCSVB4FOoGHcgrkO6l0GD3uMUuSdq99AO2r/2JatVrEFe9Bm+99RaNGjeWBk/NZpZ98Sn9hgzn1q2bKJVK3vvocywWKxtW/eCId3r2G8Shgwfd9vF7giAI84DXgWjgDvCyKIqnKlleABYBc4AaQD6wUhTFtypa5/8lfpdEAWDYiBF88dmnLJ5bzWPx7C9BVFQUmZlZbkShPGQyGaLN8+hhzx7d+eSb5Q6i4PyCG/fCGL76Zimvv7LYIxno07sn6zZsZPzYF1ymG2QK1ME+PEn7dfZhnkjS1WvXOXbiBKNGDGfEsKEVrnv33j0OHDpMvTp1eHnhAo/H70wWLl28yPnz52jbtp2LoxFIL7XVK3+ieo2aTJ4ytWwfCQmcPLyfV19e5CjkFUWRdRs2Eh4W5nJ8xcXFfLv0G2rUrMnGDesd089duEDnjh3Zun0HJpOJF0aPwvmMr1y+TI9evQApm7Fl00ZOHD/m2NfEiZMqrbEoj9SUFFJTU6larRpyuZy01FQ2bViPl5cXew8ccpBCZwtaOxITnyCXyxk+bCjz58yiSWPXzEW9unX5w5uvY5ApmDOvHpVh8aKKbXd/Ldo0rs93m3aTER5AZDkFWmWZBOdCZfu/w8PUnNLqHevpMvNcsglQluq3w5kkAPghp5gSbIiOUb2rGgMh17Np3S+QtT+vY3GDVgQEVXMEr/Y+CWFDR3H3yDaaDi0LyFrEqQlT+VA3VEWql41guRWlzebR9clZD+0Jzh9gu1tIRmoKp/dtp0PX7oydIdU2ZOmsBJQmEuxZhMzMDLZv3UZIaAjjps7gSZHZ4UbjXGhqlxwVpdzHmnULK3LkMS1RhUhZRHs9gq3gIRazgZAWw6TpagUKbwP5Vw/SsP9YfPzKnFdSbp5Hrs9nwJipjmfbZrVyeMOPBEdEs3/1t45lrxzdR+9x03h4/RL5T+4zcPw0h1QL4PGtq0RERqNWyinRFrPu+2Vkpzx1NCDs0aMHHTt3BWA2L7lJjqBcfwRtCScu3ZCarAkCeVodh2885O28QlYP6ULVSiSjJouVhJRM+rZowPwXBtO7T0/p/EqLl8Oq1eTPpbKimtUrl07Oe/2dSuf/UshKX6EBPl7UqhbL/egY7ly/Qngd6T3wPCShvDPNL0GGxkCxTY4xIxe50s8lQ6XNSsJWXIApJQFv/1B0mlh0aiWXnuQT3SyGrJRTNI+tR0zdhpRVeGQQEO3PmHQfVmal09nXn4hSaZq9FsEvUkVYihVzjfCKSUI5PIskABQWa/lxwz7qNWzMwgXz8dIXSrKicn0iiouL2bhlKxhLGDe4L4GCEdOjmxTcfkD2tUS3fetEK/dELSDQiEAXRyOQajKyMLpkGCzYuEUxNVE5bFJr+fkgelu5GWjj/amDCYoOw7duQwDW7tgHgsC+mw+l85MJ/HDoPF07deDh01S2HjrFvLFDUQT6O8734vXbREdGIIpSQfqX360mLa/Qkflq2KwF46bOAGDm9GmVZvztxfI3z0rfQbPJiNVi5u6DOzz6+h/UnfBn1LWaeVw3Wq2kcXQgqy6eplHT5sxd8BIDhw5H7SSJk8vlLH5LenacbVXBfUDlrVf+c9+x/zQEQXgB+AKYB5wu/f8+QRDiRVFMrmC1T4BBSOTiFhCERDL+K/G7IwrOGYKp06bzzQ+rmTvffSS8ssZr5RETE82ZKzdo9MwlK4ZMJqNJ4yZcv36Ndk3iXeYFBATwwuhRrPjhR2ZOn+a2br26dbn/NI0LFy+5+e0LgkDvLh05cuw4Pbt3+7eOzfmFW1xczMrVa6hXtw6vvrxIuj4eMi0Jd+9y6MhRatZvyOyXXkEQBIx4dm4yGAzs3b+D9PQMGrZozcKXFrkto9VqWb5sKSNGjXap5Th08AAajYbZL72Cd+m2i4uL+XbF9wweOIB6dcs6d6amprJ+7RoaNmrEuDGjXbbv7e3Dp198Se+ePWhcmknwNuvQ2rzYvXMnx44eYf2mzdy/d49jR4+yaPErvPTyYoqKiqheJYYbN27QtVu3576m8Q0bUlAspdztAZYoijRtFM+9uwk0b1Fxfci6jZuYMmkCX332qcf5z3PP/l9h2oj+/OurFbw6oC3mUk/555UbOcOSq6GkoMilgNlZcuQMleCFXrSCBxeVmviRiI7aTlmFW1klRGUWMaNrY7789CMW/P0rqgaWNaCS9PRqVObumB+cpnXvQY6i5aqBCvx9ZMwYO5Idq5YzfXhft33aVGqP56Q12Vw+ePb6AqvFwppVawkL9GPk9PmElNOT29fJzMhgz85thISGMWDcVLy9vdEYLC6WlSCl/pOT8sm+dRFTQSreAeFEtB+DvrAIXV6agyCINhum1PMoI2rhX6PsPSIzpFKSfJ+q3cZTbPIi1A9sVgu39q0npGotWvQdQWaREUEQMOhKOLTuB0LrNOH7Vye7HHdgcCgnt6+jZvXqDJxQRhIMej0P7yXww9KvOHHhKubiAjb8+D0vzlnAa6+/gcVioWZUCHdv33YQBef6D08kAW0eQTLQH12NtSALmUzmkB29uGY/51OzqRpfw5GxssOeTTianE3DatFs+fBtF7epyn5PO2z2Ltz/IcgQXc5/QP/+LF3yFYNr1kHnVXF3ZWfpELiSBXDvolwZ1HH1MRQ+BWU8/mol9ksvV/pjDq6JLe8BFrlCIg9qNSlouBqsYvyIiaz+6QsWjemPLxBGmTFBZLNo5j8NYU9yOrM6l2X6VVGhqCKCmWmzseJmCs06DMcGzyQJlf0Goiiy8/Rlsgw2Zk8aj3dsfUTAJgjIKPuNNWYZG9f/BMDYgT1Re1lBm+cgCc6DGv5RflzO03DJXIJJFGkiBGJw6QEu4TElyBBcrE5LsHDfqR7BXy4jwseLAj8TSrWSGQ2rERQtUStzXibfHrtOnarRTPt8jWMbNptIzbhq7LuVSHGJnjemj0UIkNaxGE2kF5qY+87f+fHrTzGbzXz6zXdMHT+OyPAw/vnBhzRs3pIrly45tldZ12Q7Ivx8+Hr7UbK1BmQymeMe277sE9Jun0Zdq5mjhsWegbRbIpty08hKS+H6/SduTn3PQoCP1zM7k/+O8ArwkyiK35X+vVAQhH7AXODt8gsLglAPWAg0EUXxrtOsZ0tH/h/hd0MUZIguQarSZkStVtOyVSuOHT1C9x6uKTZPL6CK5EcBEbHk5hyucN/O24qMjCQ9I4OYaHfy17drBz794kvaNm7gNvIeV60aTZs0YefuPQwZ5Or6Y5Ap6NO3H98uXUpsrXpUCQ102WfzZk35/KsldOvS+ZldfCuCyWRiw6Yt6PU6pk2djEqlcuzDfl1EUeTUmbPcuHGT+vXqMmuhewbE+Ro+TU5mz979ePt4M6BfX2JjYjxe96SkJLZu3sScefMdlqg2m42VP/5A/Qbx9O5TFpzduHmLYydOMH/ObBep1rXrN7h46RJPniTyt/el5mNXL5wlvkEDHj58xPZdu5gzcwa+vr4cOnKUr5cu4/jJUxgM0otv5PBhPLp1jSt37jFuwgTWrvmZfXv2cPLkCeYtWEiXrl1/8TV1vjbFxcVsKs1wNG7S1OPyoiiybPl3fPf9Dxw9sM9t/n8TQQDAPxQvbR7j2zdg1dGLjGtS65kkwfnDa3czssNYqHebVp4kAFSRKXko6gnHPWgKQM5TdFiwOWoVQLIvjGhewvjOzVi15GOmvvQGaqWc+HB/RyDVq0MrEk7l4Z2TRN0WzRwyI3lOEv6ATJtDXmoioeogx/mDFMDaVGqXrIIzSbATBFEU2bVrJ1kpT+k6aCR142Id8519yB/eu8vZk8cIi4hg+MRpDoKA1UJCjtbxsc7QGEhMzeTOwd3otQZUVRoT2aSdw7FJVWpyoFKrsRpL0NzaS1CDnsj9JBmiv1qJ5v5ZfBQyYjqNcOxfX5BN8pk9tB88FpU61CEjyM/K4NzeLZjlSgdJmPW3L2nbdyhaTQGXdq+n2+BRhEXFUPDkHku//YK7t2/y9Ik0Iuvj44Ovyo+1q1cyY+4Cjh85xNGDBzh0YC+9+w1g4ovTXQJkj1LQcs5QgiA4SILZauXw/aece5LOh0O7oPJ31U2XkYQcFi3fyg9/mOvmzf88JOE/DpvVkYW1X49pM2by3bJvmDhHGlktTxbtKN9t2dm+MrvERLHJUmGtQ3RQmXuNf2Q1cu9fJTBSGtRSqdUO9yxBJkfw9kU0FqMvyEKniQXUpBbouJenY/DU+Xz80zLemTOJgLAofHMzCS6tHwlrUhtbUgYXC7UMaFrH4TolU0cgr96QpqG3uXL/Kc2bNa3QqQhwa5DmgDaPM9duc+bMeQa0b87Ili2xhUQ5ahDsv19KgY6du3bjpQpg3KiRBMmtjmyEM0nQZhRitFo5lJZFbp6Oan7ejJGHkm6wlsqPyoiCFZE7FBOL0tEfASALI7mYaE4gAXIvIhVyQpUyTotFDGxSg6b1Yh2EVmsw8e3qXTRv05Khb0luWqMG9Gb9B29iNJlYun4nMRFhtGxYl6S0TD5ctYyrt+9x+WaZ01ePvgP5+IvPmDttMldv3OLjr5axff8hgkNCefu9f6A12Rz3VXmSYA/QnV3VnJ2xooOUXDh7lgcn99B48h/c76FSkiDPfsJrC6fzypt/cCEJzvt+Fv5jJEHp55ZR+rcgyVQnCoLg3E13uSiKy+1/CILgA7QEylujHQTcNeoShgKJQD9BEPYgqedOAK+LovjLfJ//j/C7IQqeoLQZadO2Ld8uXepGFCpavjwMMgVeSNZ4z4OOHdpz6PARxr0wxuP8/n37sGPXboYNcS/Sa9O6FQcOHmLf/gOOYl3nl+X0mTP5/NNPeHHadELDXF+iL4wexSeff8GCuXNc+g84n0f58xRFkYS7dx3e+8OHDSUiPNxtXVEUOXTkKAl379K5Y0dmLny50mvwMC2bfds2U6VKLLNmTHNxMipfs3D0yGHS0tJY/OprjsC6uLiY5cuWMmbsOJf+FXv27cNkMrv1azh89JiUdZg5gxMvznRMb9G2AyePHiIh4S6tWrYkPLYaVatWQeWrYv6cWZL1afXahPsrOH32HE+Skpg1aRxd+/Tnwvnz9OzVi1mz5zBoyBCXoF8URVavWkmnTp2pWatiBxE7Xn/1Fdb+vJqSkhIOHjnmcj3syM7JYdKL0zlx8hQ3r1ykVq0ymdt/G0Gwf2ztH+rYUDVGsxWrB9ld+X4I4E4QHNt1+rez5Kg8QgQ5BZg9EgWAOvhzDy2NSkf0HpeYIAsC9t+mBtA+qirrv/wnU+Yvxujv68guAHSdOIbvv1tOYbg/taqFIMt+7Ejrj2nbiE9/XMfUAV2pWq9BWdBayUdHY7CQmZbKxVPHMOh11GnThXY9pb4ozrIQjcFC+sM7XDh9kroN4pk8cy6FRislVsBqcVi52qHXFnFq6wZ0ZgGfqh1Repedg79a6UIWjLlJlKTcILj5MGRepdI9m5XsizsIrdeEgKr1CQ32Ja9AT3HKPYryEqk7YAoqdVnxZdaTByRev0DbYdO4sKNslHP5H1+ieoMm3D9zmA59hzCjVyu8fRQEh4YyZsIU5sxbQFRMDKFh4TxJfMzRfbt447VX+cff/srHH35Ar969GTFiJEOHjyA0oIz4K21Gdu3ZS1SgL21bNXfrtgyuzf1+PHmN97Ydp1BnYOmYXoT7u78DjWYLr24+xprjl9n90Zv069f7ubMI4EoS/uNZBb3G4YiFjwIC/WjapAkpTx6jiHh2c0JwzTDY7x17EWllvXEAqob6k2i1uOjPdaWZKX0BmIOqY8u+iRgY5SAQeQVBXH2qIUwVQZ9RE3hv6c+88/I8FBG1kOs0+JT+fl06wM6jZ7go86Vn7SaOviFav0jaD6jHsm++werj62IW8Swr6bwCDQdOnCU3M41WjerxythBHpdLTklh+45dhMVUZeKMOXh7l9Yc6TUOyZK9zspotbLzaRo6i5U+VaJQKCxSnYLJ/VjsGQPnegSAR5QgR6CtPIhIhZzGkX7kWEycEUqY2TSe8KohhDWpDUBOUQkrT19nXq82PHQic5v3HuLs/DkcPXyYsUP6U7+7JLUNVQcyelBfPv7jqwRHVyWuXiMKNBqWLF3GS4tfZf+ubYyfuYA+3bvQsX17Bg0fSWiYlIGwE4Sb16+R/DSJQUPd+2uUR/bda3z69kvkpCXTbvxLhNZtTr7GlaxGByk5vmYZqz//J2++9w+mz57nth37vp0Jg6d6rt8JfhZF8ZNK5ocBXkBWuelZQK8K1qkJxAFjgalIbPRjYJcgCO1FUfyvu1CCXT/6346WLZqLZ08c8zhv+aq1jB0/oULXome9hAwyBd9/t5zpM5+v6ceKJV+wYN6cCudv3LyFhvENaBgf73H+sRMnycvLY9SI4Y792yE3lfD5V0sYNWIEUTXquBy/Vqvl57Xr8PLyYvCggW6dmg0yBcaCbC5evsLjx48BiI+Pp0O7th6DV4DjF65y7cIZenbv5qKV9xS8Xr1ymfPnz0vdQIcMrjS7USLK+fH7FcQ3bESHjh0d01NTU9m4fh1z5y9wZAxEUZQ6NdeuTod27Vy2s33nLvxUKnr3kojg44wcGtYrkyPVq1uXEl0Jok2kW9cuTJs6mfZt20pF0qXnsHHDeiIjIunaXSoKO3P6NG+98RqhoWHcvnWL3NwcqteowfwFC0lNTeWLUknQ/kNHaNe+fYXnaDKZiAoLwVYaQK9as5bBQ4a6kY4rly/Rq3s3x7SvPvvkmfrR54XaX3VFFMVWz17y+dC8RQvx/Imjbnrgk2fO4WcyUt277D56HpLgTAi2Z2QwrmlNZILg1lTNDnsx4UF9PnE2P+QVNHHKxIAJkWpI95DdWaVDs0hq9GtEqs3G6Rw9LznVBdmDRZlOww8bttGwajgtY4JdmndZrTbWnriMVm+kT5cONGjeXJrh1CRNr9dz/kYC127eQme0EF2lCh26dMcgSEF6+RHdtKTHJJw5Qp34RrTu2NVxPPblnAnC7YT7PLh4Eh+lL+EtepKlE0l5qnHp+2CHKIpYMi6DAMENypy3rCY92Re2E9a8H0ExZS5o+XfPYzMbCWvS1REgVglWkXn/BpqMp3QfJg1+GEq0fP5iP7T5UkDlF6QmKDiE4oIC4lu1pfeI8fTq2ZNItb9jVPDMyeNkZWUxeYI0+Jb05Anz5szGaDQQHBzM4UNSx9m//OkdvL29eefdvwDwjz+9yRvTxlZKErrN/SPn7yUB8PH4voysUw0fp+7KqohgUvOLaPz2145p7ZvGc2q7k6zj38wkyPQafCJr/KbPWKsm8eK5w3sd+7V73BcWati7bz+dBgx3EEfn7JK93sYT7JmG2+dOUL9uXaKqutdd2O8ze+1L0uUTGAOi8Yuo4iiUz07KdFjumosyEfS5BNTv6ZC3VW8SR9OaobSIU+Nj0nJp5zoWvrSI8CA/t+/s/gMHMZnN9Bkywi1IPLB3NynJT+nYri2tWrdGEASX9S0WC3euXuDajVsYTZJFeN8eXQn1KY1XnEi8JbQ62Tk5bNy0hdDoKgwZNgy9VXrG/H1kqEqykOk0WJLuYNNkk/ooia2nrqPXFNO/VhUUhdJ+S7J0bgXNWouNdAxoMFMff0c9gg2R2xRTBSXV5EpaqJWEBCrICIAHGBhdsyqBMWqH7Co5V8P2K/eY16sNci8ZspAQ5vy4j3V7jwIg9/Iivk5NktIyaNO0EeOG9mdI724ERVdz3Cd3793j0OGjzJ87Gy8vL7RaLdNmzeHho8e069CRH3+QLHcnzZxLfP16vP3qywC07dCRLbsPAHiUSmaXmFj56d/Z+v0SAHq9+DLVu40ix1T2jFUJVlE3SOQv4/pQkFv2vkzN17oQgl+SUXDGb/UdEwThpR8+fu+LySOH/NpNMejFBew/fiZKFMXyJMB5fzFAGtDFuXhZEIQ/A+NEUazvYZ3lwEygniiKD0qn1QXuA+1EUbzwqw/+N8b/L4jCxUuX8fb2pnkzz5KP58G3K9cwfuKk59LanT68n5joKOIbVOyK8dmXXzF10qQK+yNcvHSZBw8fMXG8ZH3pLOkRRZHvvv+BVi1bEt+yrdsL2GAwsHP3HvLy8pDbj7d0JCkwMJDWrVpRs0b1SkeVzl+4yIVLl2jTuhXt27atcDmTycTO3XvIyMikZcvmNG/fBV+x8mK702fPcunyFUaMm0hkZFmgcvv2Lc6ePs2MWbMdzi8Wi4Wl33xNv379aVy77OMmiiKr166jbu3atCv1W7dfJ4CPP/yAQo2GDp06UbduPWrUrIkKs8syNpuN7779lo6dO7lZndqv6aU791k4by7XnZylVCoV5y5deWZ/CKvVyqKF89m6eTO60mKyO/cfEBwcQmLiYw4fPMia1avRG/SkpqQ41vv+x5WMHD26os3+IvxfEYWijBS2HDrDkJpljlT21L0neMoYXC3UEOztQw0PGbHy3uUJJQZuGEuItbk7btjxEC1hKAguLRx0Jgt+kSqK/L05UaLnlfEDkMlkjuZFdmzbfxi0Wvo1KdNT26VVirAgTqXl86TQiFIdAko/RB8VVi8FSl9fGjZvTf0GDRwBCUgfYeePb1rSYy6fOExU1eq06d7H7Xm0B4KiKPLoyhlynj4iJDaOuq27EBviR0ahweFzX75JnKkgFVP6VYLqtsU3vOw+NWsLyL2+n8i2w5F5Kx12sFmXD6AIjkRdq5mLNWz27fMEeduo1U4a/HIORlMvHeb6yUP0GDCMyCrVqFKjtuN941zEfGz3NgKD1HTr2ctjkFCcncb4yVO5cfMmRUXFjuknd2+hQ8OabiQBXInCxz+u518bD2E0mzFbbWxYMJpuDWqQnKfhzIMU1py5wZO8QvK1OmylnW0XTZ/AJ398Dfh1cqP/FFG4sHOt49icycLy5d/Sf+xUABeyYC9qd/59PE0LwMCdCydp22eIx14LzmQhLU/LnYObCW43xMVRy5ksWIvS8FEF4BNex4UshAb7UiVYRYMwOWc3/8SMeQuJLrU+dpaUXLl4gRt37jBq/GQKjVYXCZ6/t4xrVy5z7colAlXSOchtZskmWi6nccOGNG3SGNG3rBbAXrtgz3ZmlljYuPcogYGBDBkzDh8fH5cRbcfy2Y85f2APJy/cJDRARc8qkYh5Ze8ue82UM1F4YjByzVpMOD7EOGU37U3U6uFHEz8Vsb5y4uqFcklTgEElY1QbKTa0y40STWbOPUxhRrcWjneAb92GyMOiuJyp428ff8mUYf2polbQsGkLVKUDaPb71uar5uTpMzx9msykCc4qmDKk60TmzZzG9auXyUxLdUz/8tvv6T10lMd1nN9Vh/ftYcV7r2I1mzEZdLQb/xLNh05Fm5eJOeMBd47u4PGNyygUCocFb2hYGDceJD03MajIIRF+10TBB9AhkYJNTtO/BhqJouimaRYE4T3gD6IoejtNEwATMN55O/8t+F1Lj+yoV7cO+w4c/FVEoVmDuiQk3KFp02bPXLZDjz6sWPJFpURh/pzZfPzZF7y2eJHHTEeb1q2Qy+WsWrOWyRPGu5ABQRCYNWM6W7fvIPHJE0YOH+YSZCiVSsaMGvnLThApKD924iQJd+/SpnWrSu1Q8/ML2LJ9O1aLhcGDBhIbU2oXWglJyM7J4ee162jXto3DQtUe2pw8cYLMzAxmzZnrsJ/My8vnmx9WMvXFaVQNK7NQtVgsLFm6jP59+7gUM+O0rcZNmtC3X3+X6QZcX0Irln/L4KFDiImJdZluv9brNmxk+uy5/PUv7/LBR59QXFxESYmOZs2bU62aNJKTm5PDkyeJjBg6hDnz5tOqdWvS09IoLi5GqVRis4mEhoWh1GqZM28+ryxaxInjx6hWLY627duxZOky2rRt+0wpwH87/H0VGH0UqCKC0WUXeMwmQOWSovp+/pzIz/NIFAKi/SnO0BISqCC/yEi8n5Ib1mL8rAIlVs+DGbXx4ybFKJHhixdai41IBTy9n0dIhpaAaH+611bz3scrWdivPV6yBy5e+/1qRnPsYgJLd59mfMv6eDtlyIy5hXSrGkbfluGSvrpU6+7s+Q4WvHzKOp4G+Ej+4WcvXOTs2bNEV6vB4EkzyTdYyNNLJDZM5eMI/swmI2f278JQXEiVJm3pMHKqmwa9SrDKpSGWzWKkMOEIcr8QojqMdrmv9LnJFD2+QlSHMY4majaLifQz2wmu1xq/qBou204+uxdVaBSKei3crq2sKJOSQg1vf7zU47W3Y9+OrTSoW4fGHt6bSpuRq9eu07lHL2ZPmcD7/x97Zx0e1Z22/8+ZmYzFJu4hkJBAsBDc3YprWyhSgUJbWqrr8r7v2rvvbl2pG/UibXF3d4dAAnHXyVjm/P6YnMkZiwDd3e5v7+vqRXPmnO/5Hn/uR+7nuScwmy1UVFXRqWMK6XGOxlcVVTWUV1Uz8v6nGDu4L5N6daakspqyqlq0djO5pRUkRYVyOa+YJ6YM44eTl7l/5Roig/zJ6JjIz+fexbgRQ1AplR41CS2hpZqEf0TNgjMNSa1Bq1K45I9DU7SgoNJVBUuCPNpQgxajF9lkSeFGuv+kMc8rlUTpgMbInLHaTGRSNE6fcUgU5ryT2GqKkJ7s7NNQbDBQlhhMboWOqAEz+eNf/870RUvQ+Qe4EpSEdCLtOv7y1/9j/N0L8A8MkhVdq+jYPZPM3o7Ce8nglBuUNRY7yKMRag1anYEr166zefsugsKjefD+hWg0GkwKtbN2SCIrYm0ZP3zzGVcuXCRdB0tH9aG+pNIxlqw7vJwk2EWRY9ZqKsQGuhLoonhUTwMXqKG/0kCCVk23KH8Cov3ZWl9B++QwBiY0ShQ3koRdV29Sp1KyeESTuIVUt1FdW8fm7Xv4+tU/OyL+tWXQYAR0LiRh1+ETlNUYmT1/kYfwiEmhobysjG5d0snsP4jlf3wJg9YPa00FMXEJdOriEPaoq62hsrycXz+9HJVSxez7FlJeU0dOfgEmu4L8vHzCEzqQe+EUmeNnolM28N4Dw9Do9CSmdGLUlBm89PaH6PT+zl4z8mvmC+5OzraIzPwUIIqiRRCEY8AYQG7gjwG+8bHZPkAlCEKyKIpZjcs64LDHc360yd4G/i2IQs6NGyS14P1tCd27deXrb9fQr1vnFm9ihUJBfHJHLly8SOdOHpElwFHYt3TxQ7z4yqs8veIJr2k6mT0zUCqVrPxoFQsW3e/xUM2YNpUzV3P4+4svMW7MaKeaT1tgs9k4euw4x0+cRKVSMmzoEMaMGulz/WvXs9mwcRNBQUHMvXsO/v4td60WRZG1331PaVkZyx9Z5hKVkdKK4uPjmXN3U1O5U6fPsGv3Hn6+4jGX9Wtqanj1jbd46IFFRISH446i7Ctcv5bFwvs91aPkuHD+PEnt23uQBGlOL7/2Ov/39xf4Ye1qhg91pG0sXPIIP3z/HX5qNQH+/jQ0NFBQUIBOr6feaOT//vcvpKV1whBiQKvVUVtbS8fUVH77u9+Tk5NDu3ZJ7Nq5k+zcfLRa32kCPwU46xRwvCTqLFaXdI9bgV6lwtTgJnka5SANdUVGD7IwRB/E+fp6wgWth1QqgIBANwI5STVdCSTUS3pdQI2FaWnteHnDAZaPH+CMGEiEp19SDCkRBt49eJYUtZ/Hh94b5LnrWp0B0U/NsVNnOXRgH0azjaT07kxZsMRpxLt7dtXmGi5tXUul0UKfoePxN4R6EARvqM8/T3X2GcJ7TUKp8XchCVVXDqOknsi+TU4FS00ZZUe2EzNgKip9kwZ8fEIg17Z/RWSX/gTGJHmomZjrjRzYvYmZD7nWCrmjprqK6qpKnyRh7Xffs+Kpp3npz//Fw7PuQhAE/vDySl589xMUCgVKhUBcZBgnL2ahUimx2Rp4/9sN7D9ykuAAPf5+CmpMZuJCg3n4rsGYLFa6tnMoxVx593eENNYpSJEibyTBVzThx65BaAnyecnVf6RrJ/e8S1GAGIPWgyhIzbDkZEEQBK/RBHfEBGsZMnE6e77/lq7jXGvuIpOiqTUYMFZWog+Lo/bSVtThCagCmmrcmhq16UgZM5fVH6xk2sKHKG2sHZLmENOuPZPue5Ct335OUEgog8ZNbr7XTCP5dpfQrCrK4/CeHdTXm+jcIZHFyx5zptRKERkJ9fX1bPzya2qyzzI6MYjhPRJ97q7oZAGrDznqMGIDFRwyVzPIPxizRXCmHwGUYKZcYWGwEELvEB3t0sKob2jgi6oixsZFk6DSurw3NpfXENUhkWmyiCU47ldlWBSvf7yWJx+Y15QW7FZPY9cZMOLHoYMHnFLj7rbJ3oNHWLFsMdPm3Mvsp35PWb2VC7s28P7//g6zyeFgiIlP5MqFsy7b5WRfxz8wCEHrT22dEY1OT5fBY+g/7T4CDGF8/OuHWf72d3RNT3NeR53ee9f6llK7/z/A88DHgiAcxkEClgKxwJsAgiD8GegriqJUSLsVOA68JwjCisZlLwKHgKP/uGm3Hv8WROH8hYvcJevkeyvQ6XSYGh+s5kJkEibcNZEXn/87ndLSfHqLQ0NDWDj/Pl54+RWefHy5V7KQltEbm0rLW2+8wUNLluAvNHmSTAoNHVNT6briCTZv2cr2nbuYMW2qS0MyOURRpKCwkNOnz3CjMdVFoVSSmZHBsocX+5ynKIocPHyYo0ePk5TUjqVLHmq2/kCeJlVQWMgnqz5j0l0TmNbJtYC7qqqKV9/5gFlz7nZJ4/nuh/VYLBYef8y1EOpmbi6rPv+CFcsf9dqczmQy8fmXX/H4sx6KYx7YsnkTy59Y4bH8u3VrefetN9i5azeJiQnc/9ASLBYLw4YO4ey58xw/fZazZ06zZ/dubDYbOp2OqdOmU1pSQnLHji7F13JUVlayYN5cYmJifvIkwRuu5BaSGtuUuqOXeeMk+Ko7kLTUm4N/lN6DLFANZ1V1hCgbFTy8kAUFAt0J4jRV9BMNzuXyngz+wITQUF7csJ+F3TsSkRjlot6kqzGyIDmeM8XlvH38EkPbRZMR5drAUN7cqbyyilPHj3I1JxebfxgWdSAJyanMW/gA9XbB2UvBHbnXr3Ji304CgoKZPPteauyOZ8yXUVdQ5Wi01mCu5+bOrxG1EQSmj0OpaSLvYoONkmM/4B+XRkTnIU7jrS73AsbCLBJH3OuMLoSF6IjUilzf8RW9R0/BPyTc2XRLIgmiKHLg24+ZNO9BogI0zXYLXvf1l8y4Z57zb8l4OHTwIO+++Rpffv0N4WGh/PXFV3n2t39g0qihbN17kANrPqYkL4dtB45RXWdkeN+ezBozBEtlGUF6HV07OJ4xee0IOFIJl7ziUBZriSQ0RxDkaKk/xo8BUeH9s2u1WlEqVU5lGnCVPPWmgiRBIgkxwVouCQJ2u93FGJdfRymqANA+NpwrkeFUFeUSH+X4rpRV1DtT1sAAgK7vTCpPf482MBB1cDQBBm1TZ/MQPTEGLT0XP8qmT1Yyec48wiKbUk4BNFodE+feT1HeTdZ88CYdu2aQ3qufy3dGUgersTRgrKvj+KnTFGZfwWqxoFUp6NAugVlz7kav1/v0TF/Lzee7tWsJ1fux6K6hBEfVN9tJvuhkAR/vu4m9sVGaX4XAorBwx7ey8RMUqRY50VBDIApmBkYRGqQhMCaAygDYmFvC3OREdDInRYPdzlcl9YwYPoz0MNfoqSTV+/76PdwzZQI6H98KiTx+v3YNkyZ7ptGcPn+Jd1e+wYfvrMRPrcZs28YXH71Pl/5Dyb5wmgd+/zzt4mK5enQvpcVFZPYfRN+hIwiPisJYW0dG3wEedTASdn7yOjaLmfS0FOe7SUo1vBMkoTm1q58iRFH8QhCEMODXOHohnAXuEkVRig7EAMmy9e2CIEwCXgZ2A/XAFuCpf8VCZvg3IQo1NTUEBQW1vGILkNdrtEQWBEFgwl0TWbNpGxPumuh1Ha3dTFRkJPPnzeWFl1/h6RVPuBjr0vhdunYlLDyMF/7+N2bNnkNS+/YuYyAIjBs7hhHDh7Fpy1Y2bpJ1MZQb/6JITEw03bp2ZdzYMS2mu9TX1/PdD+spKiqmf7++LH90WbPru2wrqFn35SpMZjNPPfG4B7E4eeo0W/bs59HljzsNZ1EU+eC9d+ndLZ0+vV37DOzeu4/LV67w7FNPevU2iaLIGyvfZtmSxehECybB97XZu2cPg4cM8Tj+qqoq5s915HjGx8fxx//6Pf369sFkMvHN6jV0TElmy/drGDBsFCNHjfbZXE6OizcKOLB/H0cOHWL/vr288trrzZy1f30oGuUA3b2tF3PyGJHZBY3oINNt6aVQ05gGJEFSZZGiCRK8kYWh9mAOmKvppAkkSoOzY6qcNKgQGKg0cEFRQ7To2TSvrshIaJSe2VGRrDqbRZ/yKgZmOFLa5GSnW2QoXSNCOJhXwsdHzqMO1KMKDETR6I1XBQZjF0VCggLoGhnMwKGZaJK7YdcbMPpHOTyabl7QMK2Sw7t3kHPtKu06pHD/4qXO+1uuiiR5kOV5wwDF5w9z89x5/OL6ovBzNSoqcnMxZe8hvOcEgmMaIyFBGvKP7ARBIKL3JOprbeiDlISF6PA3FlNx+iAz71+KWtsklSmRhHC9mu1rv2Ty1GkkRBiAJkPVnTAUF+ZjCAlB5yWNbNrkidTXO+6T3694mNGZnVD7qVi7bR8JEcFs2bqNARnp/HLJPJRKZVM9QrzM0JeRhJKqWnaducKJrFx+OHyO6QO7u9SbtIYkeCMI/zQolC7zkb4D2dev00727pdSkNz7I8ijClI0SI4OSUk0VBQSnZjkstwX6Rs9ZRpfv/M6wePuA1w78eqDNE2Rg+6TqL+yCf/gAeBFkcxPrWH+shVs/WYVhvBIl7oc5zHEJTDjgUfIOn+abd9+RkOD43kRFE3v2gA/JVqdjpROXRg6cSbJEUEeKS7yb3ONuYETx46y/+BB9IZwJs2ZR484AwHX91PTDEkoPnGN1YfyKMPCTerpiD/+qNhTVs/QcD2hQRrq7Q1sNVXSSxdI19AgAmMC8I/Sc1WwcaG0kgdS2zuPsa7ISHldPV/dKObhFU8T0S7ZVc2r8R7defAo7eJjSYqPdZmPPJJgUmiw2Wzk5eYxZeo0F3uk1mLnNz9/ll3bHZLuDz/xDP1H30WxXcPe7VsJiE7k8sVL+PmpGT57IXEhrh2lwbP+xWoyUnftBAVZFzi1dR2JaV0I99c4r5083Qg8pWybgy8i/lMnCHKIovg64PXjL4riIi/LCoA7U6j4D8C/BVEAWiUJ11a0RBY6de7Mvu1bWsy7i4qMZPbMGbz34Uc8uGih13Wjo2N46pln+W7tWjZu2MDU6dNoH+UaRler1UyeeNftHBKiKLLr8AlOnjhBoFbFxAnjPdSTWkJBQT6fffop90yfQof2SS6/2e12Pvp0FeFhoTz72FLncdpsNl5/9RWmTJvuaLjWeM7sdjvvf/Qx7ZOSeOj+RV73Z7fbeevtd5gwbmyrCOH5c2dZstST9AQHB1NTVkx5RQV6nY7AQFk6Rlw8EyeMJzQ0xBHGrq0lICCAL7/4nHVr1lBZWcn//f15Oqeno7WbsdlszLz7Xo4eP8nwESOIjo3l2Z//gnvmzvPY708Jgs2MqizbY3lIbBzVxnpkNkSTNriPgmaf+/DxnHqrb9ArlNgRidYqKTQ1EKVxvLKiGh8fiThEaVREiCHstVaSJEYQJkvlkQhJREIYixPCOJhbzJt7TzIyNRH32JwgCAyIj3SqlWgiI1y91l5g1xmcqRJSNOHG1UucObQPBIFRo0YxYISnUl6qm7dRThLq6+rY9/X71Cnjiew7zUP1qPb6EVSCkehBd+Mf3HRRio5uJCAinqCkpjTFsBAdliuHqDMZGTZloQtJkGPz+u+ICI/0kOd0NzAj/dVs3rCdqbPu8aqFXpybg6m8AFtVKRFhoc6C+Iz4cPokRdG7k8O5Vpt/E71Ww/6zl3n5qw1U1NTx1N0TGdupyYB69t3VfLL9CIO7JJMSF8HcsYP58zIH2XdvpAaeJMGXkfKPjiLIYRMFr9+KwKBAaqqrXZbJ6xXcI0/e6hUAqspLCQkb5PU3byiqsRAak0BtWREomt6JkqSuFF3QB2kQE+eQu2MVSZPuIyk61BnJ6BbT9F4eN2c+N65eYvV7r5OW0Yv0zH4e91ByeneS07sDrr0g5EXygIcHW478/Dw2b9yI2Wyhc49MHn30MQRBaOr47ZaGVnziGoUni0mZ0BF9dBi6qCCyFXXUIpJBsMu6xytNJKgbOEctd0fGEBEXhH+UnoCYYA7XGKmzwL1dm6SzawuquOZnoeB6Pr/42dMIKb2cctDy2R+8cJ3skioWTR7Vovzynt27GDXa9b0hvWde+/hLrBYLFeVl6MKiKa6zYDZaSOs3HIVKRVSvsQQZHLK5glCHUFPG3/7nN9RWV9F/5Hj6Tb/P+Q44u/krDn7yInFp3YjukErnXv2Y8chzKBQKD5Ig76YOt0a4/50Iwv8v+LcgCjEx0RQUFnptgtZaWK1WlF5ynFu6qePiYrmZm0tCfHyz67ZLTCS9cye+Wb2GiTPv9rofk0LD1OnTMZvNrP/+e77Pv0lmZgYD+/e/LRJUVFzM7j17KS8vd3QP7juAh5cta1G9SIL0Mqi0Kvjq29WoVCqeePIpRxRBdswFhYV8+PEnzLv3Hmd6lNZuptRo5c3XX2PR/Q8QHhHhPE81NTW8/tZK5t5zt890qvyCAj765FPum3sv8XGOeoPmyJvFYmlWuapBE0BUpOvvoihSWVmJPjwaE44Up369evLxZ59xcP9+Nm/ayJChQ5k/714yMnoSEhqKWq1m0xaHR2fajBmYTCZmz/G8rj81iGaTqwpNQBgEhJGWlMD5U6dolxrjLMaTPHQBMcHUFlQ5IwLQVJzsK+3IPZrgLW1JSh/qqvZnV201aSrPehmJOMTpHP/G6yLZY6zmvugwAqL9nfOToI8OY2R0GMPtInuu5bKruIJoQWB4uxiUjV7N5uoTXNAozVhq86OgrIIdu3aTlX2DWrOV1NRUxt+zEKVS6eERdg/hF9Ranb9ZLRZ2/7Caizl5KLqORVXo+k6xW01Unt1EeKdM9DEdnUacaG8gf/8aQjr2Qh+VBDgMPdHeQNa2L+mc0YfIlC4IguAiuQlwo7CcvV+upu/QYSSkOQiGL++zZDhYzRY0srQJeSEqfn5ogoJQqOxOkgBw9MRpHp08FHtlMaIoMvN3b/LwXYO4XFrH2j1HmTu8N0v/upIBndoTGqgnISKE1753KA6umDeN01dvsHTaGJRKxW2RhH826qwNXCh1RFzkRph/SCQlxUUeufmS4SwVI4MjDUky0qUiZ+lvk9GI3r/ldD85gjr15+CGb0gaOs1luTy6AI4IRnrsQ1zb9jnhcx50RqLckZiSRmJKGlfOnuT7T94hMCSUAaMmoNHpXeSAAZf0FqnniTdyYDKZOHzoEJcvXQQgIjKKe+bOc0n1lIQyAGxhSQQOHEXN/m0AbNl0nSKzDXH9ZcoGx3G5uJyn5vZl31eXHL1YGmFH5IitimuFfixJcrUpNheXE+avY2KXDs5opD46jC3FFfjHh/HEg/NQhURhl3cbry2joaGB977dQEKHFBeSIKU0eiMLly9ddvaHcv/mKZVKlDodMXGO76b0vJ7bu5mM0VMpMznui/VvvEBMTDQxkRHs3/w94+9ewEcv/ZnD+3ah1AdjiIpl1wcvATDs3iVUZZ9n5OyFJESGeZC2WyUJ/4z0vv/gzuLfgiikduzI5StXb4sonDl7ju63UCw8YdxYPvp0FYsfuL/FdQf068euwyf46ssvmjUqNRoN9053NJQ5dvwEK99x6CMbDAZ6Z2YSGxvjNYcfoLKyiqtZWVy6fJm6ujoAIiIiGDl8OGFhjrxrZ0dmwXeuoPwlkJtfwHcbt+AXYGDOzBmNnngbJpTOeoVNm7dwMy+PZ5960iUN6dr1bL5ZvZpHlz/hMufr2Tl8/e23PP7oIz6PZcvWbeTcvOkyZku1I7t27mDY8BHNruPeoXvznoP0H95U4K3Vatm97wA9u3clKiqauPh4HnnMUWNSWFhIWVkZRYWFvPP+B1y9coXk5BTSu3Rpdp8/Fdhqa6nZv83pSZdeEIkxkWzcXIaibw+XtBD3WgV3siCHqaEBjULRJpIAYLcoKRWtpLnNVSIHgKOmoXGfepM/q2tKeDgjBoUgeDX8FQqBYSkJDEtJ4MKlHL44f80hLxwWTIYgEG8IRJqlvbLYJdXFWG/icq2C08fOUFi6kwpTAzY/LTHpmfTtMdi5XoW5gXC90iPFSOoIrairBCAmIIqLucX88N13FFdUY+g+BFVIT27mVDrHCjBoKb18DmPeWeIGTUGp1jlJQpDGxrUd35A6dDLa4KZjjVA3cGbDZ/QeNQP/EIcwgGRQSiSh5PpFck8fouu42aijHe+HUqOl2WLYgrxcomJjfXZW9WZA5F27SlRjCoSUM/7xMwv4+ftr+XTnUcZmdiKjQxz3j+lPXlkl5TVGbhSX8/bPl5BbXI7V1sCjMx11aO4koTWpRv9KqK63se2qQ2KyW0yQS2TJ5KUOB7yTBXcUVJpaVRTvsk1j6olKraHBavGIzMtTm5wyrAYtPRYu5sC3H9Fl4cNEeiElkuHasWsGHbtmUFVeyvo1X2O1WFAolSR16kZEfDv0gY5IhEQSJGPUYrJwPTuby1euUlBQAIBaoyGj70CGDB3qqgIol0yVOTls7Xpha9cL9m8je9MxLtaZuEk9+69XstBqZunDwx37XqRj9QcnyaqzUIuNy9SRhj/+dhVbb1QxOjEYdYSWL4uKGJWRSmdZJFUbFcjK/acY0iGeXt1TXKKO0nxyLpzn4017eGDuTGIjw13IM7jWP0n3sspSh1LpSpa8FXjL0WCz0WC1otbqwOR4vkctXE7+iV28+tunGD9nAbX1Jp5783NK8m+SV1BMRUEukx//HXqhAT9LDXctepQIf40LSZCcGrcbSXDHj5X+Z1f7t6rBYotQtiyV//8L/i2IQvukJPYdOOhUr2kLJMPz+PlL3Ddzapu312g0WC3Wllds3Fe//v3RaDWsfPMNHly8BKVS6XwAvUUkemX2pFemo+lTRUUlB0+dZdfhYzTUOwwq6YUpiiI09lFISU5m6uRJBAS0zaskwWw2s3v7Lq7n3AAgJiqK++fejVarwa5zzXe0Wq2889ab9O3Tm3Fjx7j8tnvvPq5mZfHMkyswK5s+YMeOn+D4yZM88+QKr5ESURT54ONP6JiS7JKO1BJJEEWR8+fOMWZsy4XtJoWGmpoaDh7Yzztvr6R37z6sWP4YxcXFzJ4zh3n3LeC9Dz8i9+ZNfvWLn7N92zb++Oe/AFBeVsaGDeuprKjgqWee9dno76cIu9VG6emrwFWX9BsAu7HalSQ0Kge1NgUp22gkPd61SLglkiBBjYBZtNPBzUiSEwSJgPSMiSG61sh7l2/wYP9uzrlKcM9V7pzWjs5pjmL7eouVU/klXDHWU3c9D1VgAIIgIOgCUQYEYRdFtJEJxHXqSae+Q+isD3LN95Wl9EgdcyXDTiIJ+roixJoyDpw4w6msm1jUgYjaQDoNHEV7tT/Hcyopq2gyeERRpOLsDmw2FaE9p6JUN/VHUJuLyT60h5Sxc1H6qZ2GXW1ZEWc3fc/4BQ/jp3asK5ED6d/s43uwmoz0nLrQua+CKpPHvAEXorN58w/MW+hQHXOJJND08ZeMpPrCXPYfPMwr32ylR2I0d63fw+XCMganJvKLyUOY1q0DAxKjeHffKb7ae4LHJjtkx41mCxuPnudmZQ3Lpo/BEOCIDv3USQJAXb2Vb3deQx+koaCDidJ2BtIjAly8t77gLnMKjvtMijDcKKnCT9M66Ul5fwYAQ0Iq1TevEJyY6qKEJe1DjnB9EBELHmbbF+9x18x7iIx2zbeX5gmNqUXaIFKGTwOgwWbFUpjF+UN7EMyOZz46QEOwRolKtCHa7ahFK+3bJdInPZlo93Rb0UJjKZVHvxd7ZbGTiGpLCrigiGDn7hPknswiCyPxaOmAinZqLcbCMue7a2BGFIcPXKXYbqEnQQgySdSqBhvrLl3nkamDCfXXNUlE22x8ePwiD4zoTUq/Hh59WgCOn7/C3r1HeW7uZNSRnip+vrB67TrGyuS/3RvWSYXf4Hg/XDlzkjWr3kfpH8Jn//04Ny+cIji2PTNW/Jag0Age/K8XOH9oD4c3rWP+z/+IOqYj0Q02so7tp/DaRQZNmkZEXKJL+pe3dKNbNe7/qTVB/8Ft49+CKPj5+WGz2Vpcr9mUFbMZ9MEeOsWtQXp6Z86eO0fXZrzK8n1nZPQkOjqaV156kbtGDXPpiNwcdGFRjBjpqCe41Tw/b+dAFEVysrM5c/QgpaWlaIUGhg0ewLiRrr1C3AvwsrOz+earL1m6aL4zWiGN98mqz4mOiuSBhQtc9rlv2yYqKip8RmCsViuvvP4GUyZOJCWlKQe0NbrLGzesZ+y48S2uB1BWWkpykkMyb+LkydTW1vKLX/2adu2SeGrFE6x880169+nLwQP7UavVnDxxgl07d3LxwgVCQkOYPGXqHSmg/1dDg7XB2XzIP6qKgJhg9NEOw9pW4/ioy1VEvJEFueSpHKVakf4Bnr+5d2Z2R5xORYAmmPPWOjqgdiEHEqT8YQnJKQksTozmk6MX6J6ayAgZUZCTBnfogZHxkU5y5F6fYGvXC5NCQ0Gt1VmPcKag2tdwTgRrlAi1pWzfvJ3c61kIgkC/nt14eNF91AdEU1Br5ZuzhRw5n+8SSagqKqPq7CYCOvQjIMRV6rf84iE0opGUcfNICG1Ky1JU3qT09AHuWrTMRRhAiiSIosiF7WswxLRD1b5JVEBuDLqTBMkoKbx+hZT27QgPavI0+yIJttJCOs97mtziMronRJEUEcJ9g3rQKymGFzYeIPM3bzKsUxJHr+UTEqCjvNbI8as3OXjxOjqNmgm904ltn+Lcz78DSZDDWG3m1LUyciuMFLQPpVtMEEar3cUI9IbmyEJlYS7a8BifqWPuaT9ydO/TnzObviC+R4ZLEzfpvnCPZCRGGFiwbAXff7UKrVbH6MnTXe43b/MEiA8LJDyhL9DXSUDl0QR3o9KZ6y9bLjVck3vn6y+fI+vwefYdzCJfZSMoYQ+9+3VnZsdELIZAZ9RgaLjeWadgLCwj93geH5zOQikI9FEFuwglhASIHAmysnxQBsH+TZFvo07D2roaHhvbn9jMLi69VqT5bdi5l9paI48vWeDcTpqr831SWujSowUcKbnl5eXOXj7y+ic5pL9/+/gStqz7huDwSPqNm0pyzwGMe+hZzuzawEv3TyCpex/Kc6+jDwymocHG8eMnyb1wCoVCQXKvgQwbM9Z5fb2pG/kiCc5r0ErcES//f/BPwU+GKNhpKgBri5Hc2sYet1MDMHTwIN56+x2fRMHbHKKjY1jx1NPs2vg9u/fsY/68ewkODvay9Z2DNI/CwgIOHTxEaYnDO6xQKEhJiGXE8GGEh4V5Zf/yD3C9oGbNN99gtph56plnXWodqqqqeOudd5k1YwYd2ie5HPvaNWsI1auZNWO61/mVlpXx9rvv8/BDDxIa6t2Y83XtKy0i169f96lA5Q65Wsu4ceNZsKiJuKz7YT12u92Z7mS1Wnn37bfR6XQ8vKz1ylA/RditdgpPFjsM9ktlhAYVExhTgH+UntqyUirOXvYwtN3JArgSBgnV18oIVvu1iSRIaG/w53SV0SlNCE11Du41CBLC4iN5Ij6SkzkFvLTpIDP6dCYhtGldiQx4g0cBs6we4WZ1vU9pQQn1NVWcOXsAU1khgWol5/V+pITq6BUXwJSesgLF+ipq1ZFUmmwcuV7uJAm1lSaMeWcxl+ZgyJiMqaYOyUwT7Q3k7/uWuM7dCU0e7uL9vXHuOKW52QyYvsDDC1xQZcJmMXNmw+e07zOMWl2TB1QyDH1FEaRmcru2bOBnTzyK4CMNwT39I7fY8f/RwQH8z6yRjmiOCH8eN4D/Gd0PVWN6hSiK/JCdz/WsHB6ZNNTXZWkzSWjp/e/tffJjN4NSyBR+jNVmjNVmyirqKehgwmiB3PJqCG2dE8KdLFzKv0n3Ht2dEaHmiIE7BIWCYL2aqEA/53jSPgCPWhuAUL2aBQsXkXcjh2/fe51u/YeS1rW783d5ZEEa011yE/BNEqR+Lm4kFKA6N4cjR49xMbeYuvwiam+WYs83YquBDL2OpACIKixBFR2GBUfUIO5SGelDm4r1z1zO54tTVwgz6wgXmlLpRERqNGYU0aEsHdrV5b2SU1rJ2mMXeXbmSPxjoppIgrStKPL+l2tIbpfAhOGDfXYeV4VHeyp26Qx88tZKFtznKorhLrksvxZSTV5VaTF3r/i185007N4lDJ7zAEqlynkt9+7YQWHWRfpNnedC6ryRBG8EoVly4OU45ccmbSt/dttKNv6Dfw5+MkRBDvccc3Dk51ksFmcaSFtf9lar1WW7tpARhULhlWj4moN87HFjxzB0yGA+/+prjHVGRgwf6rXj861+vKxWK5cuX+bYiZPUmm2Iokh0TAwDBw4kIrLJUGjueOUf4Lz8fD764hsmTppMalpj1nhjGPjsuXNs3b6Dxx99BK1W65yzKIp8/NGH9EhLoV/fPl6P6/Kpo+zavZdnnnyi2WJkbxBFkQ9Xvs6iuXNbvY1er6db9+6cOX2avXv3cunSJXr16k3PzEzad+jgUmfx4fvvMXvOHMK8NID7d4Pd2kB5tZm8eoe3Kq/eRly1mdCCWvAzcWbfeZKTo5xpSRJcUnsKy5wFznKIokh1YR3KNpDy0KCm+z4qLADRoPGIHrjXILgTmYx2MXRPiGbt8YusP3mZXt07MbBze6+pAhJcFI5cSIKZ8yUOciN9kO12OxUFN7l58RTmulqq621ERoTSu18/0kaPJS3cn5gAPwJKLnn/mALbrpZyM6eS2koTdks9VRe2oglvT0iPiRgrK53r2eoqKDyzk8Rh0whNaKrJijFouXRwJw02KxPneH8OasqKydryDemjZ1Fica0vcC9KdZdtBdjy3Womjx3pfNc1Z0BIaSBLxg9i5cZ9NFisrHh3Hd1jI8iIjyQ1IsRJEgC+O5tF56gwenTtgLm4xIPEyQ0quYxkc2jNO/Of0SFWqVKgD9JQfKPK5doW36giNiyKgwf2M7SxZsqbcS4tlwxHOSEI8LOjaGyMKCcJUkqZ/G9oijJJRDFy4CBqs8+SltnPJ0Fwl8oEiEtsx0OPrWD/7h188d5bxCYkMmDEGFQqlcv23sb0VesCTfeYKIoUXr/C4YP7KcjJocFYg9psonOgP+OVUFIukpMLxysV1Nrs7KmvZ8++m7DP0U9oWocQAmMCSB+aQEBMMNYGOx9uP4otv5bJujBOWJq+fxolnBBruC8iir7pCS7vlzP5JRzPLWb5xEFooyI9SIKxvp6X3lvFvVMnNMmfBoT5fO4lSPf0gUOHaJ+UhL+/PyYc0YSb1WanY0I6h9K1j/RXk5LZH775nPiOnfngDz9zpI6ldSM6uRMqv6bi96LsK9TXVtFnomtzvdaSBJ9o7thqyzwKtRXGSux6w39Iwk8IP0miAJ4G/aSZd/Phl98yf8HC5jbzCq3dTHRMDLm5ucQ3qu94IyPNISEh3ql+JB9X/iHyNZ5Op+P+BfOx2+3s2LWbXbv3oFKpUGs0pHXsSHT7FMLDI5o6OHqB2Wzm2vXrXLx0mdLSUudylZ8fqR1TmDL7Xq9Fw7UWOwFqhcfxurP/2tpaVn3+BYGBgSx/YoXHXNZ9/wNms5kVy127uVosFt547VUmTZ5CckoKJi/nZd+2TZSUlLTYx8HX+fvo01WMGzPaIW3a7AhNaGhoYN59C0hNSyUnO5vKyko++fgjVjyxnOqqKpLat+frb9eQ0rEjKpXq/wuS4At59Tby6m201yr5puQqC2vs+EdVEdmzA4BXwiCRBWiqXegTGcZZYz090OMNUkdmOTmQEBgTQDeTiqtKCx1jXCNv8lxjX2lFCoXA9N6d0URGcCIrl7d2nMJPpUSpVNAhNorkuCgiDUH4x8qkQWWGaanNj+vldew7c5lz585TVeIosKwyWhEUCgIjYonqNACNf2CTdz5YS1l98/VLtRFpHMupYuPxPGrK66i5sgc/VQOxAyajVEuGnYEAg5ba3AtYC6/SYcJ8wsOa0q5ultdxftu3JKemktStt4dRCJCXdZkzu7Yz9J4lFNVYiZcJSMUYtF4NOHkx4+4d2wkJDaFLerpvgiBTcpFqWZICtez61f0cysrDWFXLtss5/O/WwxTXGgnSqnl9/ED6xUVQZbLQsfHaeSUJjWgNSfhnGP+3ggCDFnB0PzaW5WEsywO6UHJuG8EdM4mTFRJ7IwzeyEL3gSM5sP5bhs1wJYvu94OUqgSudQihUV3Z9NXHhA8e4nWfCUEawlVWFPXlGP0dabC1FruzSdzAoSNI7zuE/Js5bP7qYwRBQKFQEBQZR2KHZIICItHqmo5Lnk6jVTlId0FRMRcvX+V6zg3soohgMSIIAjGBGvokRhCZFEzF2csYC8uoza+kpMjI/pNFLspF7lhzrYLkojq6RurJKiyhQLAze1APuFpI4cliokyOImE/tZ0D5loW6SJJaxfuSL1svC/X7TlJvdXGskmDm8QeZPdmcVkFK9d+w4oH7yPA3+0d10gWVOHRLulGcpy/UcTlK1dZKIsmeCtedicM5vp63li/n93bNqPy8+PMsSPs+/p9KgocJGn2L/9Oj5GTqCzMI6FzhstY3WKCfJKEHwvOZ7jx3/8Qhh8XgiBogSeAUUAkroq9iKLY3dt2cvxkiYIE6aMQHhGBaLdTVlrq1ahr6eafOnYkH33yKYsffOCWPjT9+vZl567dXmU+W/vgKRQKRo0YzqgRwwFHQ7TLV65y7OhRysrKaGisw5A8ekp7kxGiVqtpn5TEoIEDiAgP9x7h8LFfiSw45yF7cBsaGvjyq6+prKxk7j13ExgYiEnWWVQqZh7Qv5+z6FpCWWkp7737DosfXorBYGiah+z8rvn8E8LDw7lnzq31Hvn8y6/onJZGp8boRmu6aoOjc/OYsWNJTmnKgX7y6WcwmUxs+OEH7l84n949ewAwZuxYFj3w4C3N76eOIrPNmbNbZFZQYbfz5bEcJsQ6PnIunn05YZCpIUnrtAcOFJXSI7DpIyrJqErwRRIAOiSGcOx6bpvm7y29qFevTHr1chig9YW5XM8v5mzWDcpsAhbrKdD6O4sZ7WodFnUgVeYGSuobqFUbiGqfSse+Q52he1969pLBXmmyERPg5/CiybTTayPS2JVTxbv7rlN4Yj9VN64S1WsUhnjXWgRdoJqSE1tR6QJpN3KWi2Rlg9XCta1fENtrBJqEVI99A1w8up/y4kIGzlzU+KvjveFeqOqLJOzfu5sGcx0Txox3TQEBD2+iXM3l0rnLtAs30D0xmu6J0RiLK1g8sDsNdjtbj15g+cYD3LdmJwAJQf7M75PuMpZLxMeH1vyPjX+U5rs+LA5jWR6lWecIjujGuq+/ZtqcOS7X0VtzPnlDvHC9GvRqrBZzm/sKSRGlSH81gX5KD2lMcNwLkdYS7Kf2YQcCkrpgC0sCtcaj2Da9YzL9ujjuR7vdTl7uTc5dvMSVk0eoqHGo8cmFOEJ1KrQqBRpLDZER4XRKTWFEz04Oh5QbAa04e5niE9eoKzJSU1DLmaK6ZkmChEN1tezKq2CSNYz7p3ZHH6jHGBNMNMDJYk4YayhosLC8cyqCIBCVEUN49xREUeSjvadIiwmnf4p3Ge8L13LYsOcwP18wA5U7SXDrl6Byu5ftegOXs66xc/8xHl78EOD4RtZa7D67vIODMAQp7QiCgDoijtH3ONJn00bPQhRFzpw4yZaXfsFXf3qar/70NAC/+e6Ec/uWSMKtFiA7iZDsmOXH6o7/1C786HgdmA58BezHmQPSevxkiIKiFcd2971zefnFF3jqmWddUkda87LXNCpF3Lh5k8SEhBbW9kR4WBjnzl+gd69eJLVLbNO+fUGn09GjezfSMnq7jNWaKEVbUWuxg1oWVagtY/+lmxw6cYaZs2YRm+yZDpWXl8tnn37K0vvnEx7m+kI4cTGLbdu28uTTz3iNhFitVla+9SZjhw6kWytkab0d55dff0OH9u3p26e3z3V9kYabN24wfoJn8zqtVsv0mTMZMXIkkydO4Mzp03RITvYywr8/5CQBHN2Qw9Bw3FJNRKGaDrvNtEszEpXRSAwa1YTcaxbkhCE6T0u2n5Uka1N6mUQE5ITBGwRBwNJg53xJJemNnYMlyKMKzdUeSJA+ZLroeNKj40nPbPxBFkWQOqRK4f/zJbUcz6nEIDOwJbUZiSxIXY6bhYwkvLx6D1n7t6KN60HCiLudakYSGbCZjFzf8Q3xGUMIjElyGcZcXU727rV0GDkbP30AuRVG5xwA8ivrObl1LYnxsQy8a4aHB1k6BslABDyMwwP79mCqqWTK1GlOoQdvJEFOECTlmW3nr7NoSIbH4ZuLKxiSGM3BB6bw1/2n+fjMVXpEhXqsB21POfopRBPUSoUL2QswRLs01KsqyaOuPpe120/QN7PpvetuvMubscmjC/0HD+Xw5nX0G9e8ip/z/nW7B8IMQVw4spf+g4e5kI1wlRVFXhZ1l88BoKksRp0xAm0jWQCHB9y9GBYUKBLbkZDYzrkOuDYYTA3TOxXBwLUWQR6hkpOEnEtlHK80ubyjvMFEA5eoIww/4i3+BJkU1BZUOdIno8NosItsI4u0jiFMiAh1OjbCu6dgstp4c9sRpvXqRFJEiNd3y9YDxygoKePJBbM8yZmXtBx3w/jq9Wy27DvK0iWLEQTB+c7xJYXqfI6DtezYsomOA0d6rCMIAhEdOjPktx9jPLeLrS//ipjOmfhpmt5d3gqXJdwOSfCG/5CBfyqmAbNFUdx6qwP8ZIgCtGwUa/3gofn38srf/sLix1YQpmvb4T14/yI++exz9DodM6dPa3OB869+/hw/bNjID+s3kJAQz/ixY+6odKb7R/BOFHV7a2xjsVh5d/U20pKTeOLx5R5qRwDbtm4hLzeXXz71uEtRFMCGjZuorqnhseWPe92nRDAeePAhYkNuTcJ1zbrviIuL9SAJ7vAVYXAnku7rGEJCeOmVV5k1fTo6nfdUmX9HKPyUhAZpnDUK3pApBLHPWomhIYTQglr8oxypRfJcXoksyJcbC8sYGRfFnoISThaVMikqCpXs3nGPLnjDvJREzlssfHDqCiFaNSPbxxKo9vOomXA5JrdaBBdvl3tzOS+osTRQXGdxaVQWY3DtbiwRBLnBJdUynC+pxaBV0V5vgMhkjP5R7Myu5LV3PqKy1kzcsLu9vmuqblym5OJR2o+cjUrjSj4qcy5SfvUMHSfMR6FsbDYXoneSgBC/BrZ/+SGZI8YT3a6D1+NqiSRcOX2c6tJiZs6e7apVDy5GnBxyeUqFIKBUeL5fJGhVSh7t3ZmNWbn4B+gdEs+NcE/raK2h4c2Z8q8GP5VAn/ahFIQ47p/cCiO0g7KKYIzVZmoNBkSxM4XHt7GvtpJBQwcAuMjsuivgQBNZSErtTElVLRs/fouh0+9FH+C9MNpbihrAsMmzuHrxPJ+8+xYarZYRYycQERmFSaEhICDMRRHMrje0WItnUmic3xn3yIOUex/pryYmwOE88CV3aiyuoPjENd8n1gvyqKcSG10JRIlAgEpBaJCGgJhgQrqmcv3SNT68nMOMoelE+GtdUhhzy6v55ux1ls0aS5De9TwpDJEIIRG88flaunbswPwpY5t+lOfl+6hPkL6pN3Nz+X77fpY/usyDJMijCb6K0msqyzGER3ksL6g0kVthRFAo0XcZTlB8R/w0OvLLjfRJDidc71vdqDl4TReSHaN7bZd8G1/n4D/40WEEbt7OAD8potAaxERHs/yRZbzy6ossWjCf6CjPh8gXFAoFC+bN5cqVq/zf8y9wz5zZbYouqFQqpk52NEq7nFvEO598js1mo2NiHIMHDWxsVHZn0FqS0NwH09tH9czVHDZ+/RUPzb+XsNAQ58MsrWM2m3nvnXfI7NWLJQtc82Dtdjtvv/sePbp3Z8L4cV5TnbZu2Ux+Xh5PPfOsg2DcQkRk46bNBAQEMGjAgFat74ssyM+ht3OR2as3r7z+OksefJCjR45w/wMPMnP2raVI/VTgp/dz1AMAcY1FzVJkIUDVZPQN9wtha10VNWIDPU+C9HmQIgv6yJCmegVZ34KAmGCGAOWhwXxxNpveBgNpAd4jClK9grzDsyAI9IuNpF9cJBUmM5uycrHpNMRZrIyMjyHSEOizSNmrvGYLebJS+N8d8gJQaDK6U8P0zuJMiSgcb1QyqowIICEogjOXc/nL314lecBoUmPaOSMBZRWObr2iKHLzwAZUWj0pY+c6VY2k9fKP7QBBoMOopntRThIshVfZdWQ/o+65H422yXPtkpfeDEkIVCs5f/YMN69dZt598z3VaLyQBMnjK5fOlcO9d4WEML2WdycPYdF3e7jr7TXMGdGHZ+6/p2kF99SFfwPjwk+pICa4KfKU2c7guC7tcShfUQlAYO/JlJ/bxfE99WQOGenVqJenIUETWejTpw/xKWnsXvs5kfFJdBs43KdCl7cGbimd0knplI6p3siubZuprywlIsTAyOFD6ZIxAmrLsDeSXgmScSvNSbpn9OCMzvmCcxsZSai/fM553xgLy1zEEfyj9HCpzGc0wYbIBWqIQE0XHN/dZH813aL8SZnQkbjRA9h68hLXsm7ws1mjMJVWOrfVR4ZwrLSG8zeLeGbGSBdHmPRuKbQp+ejdz3lgxgSiw71Hw5zwUswLUFBj4cuvv2HZimcwK5qIVEskobmIpdQbQ3pXgEPNauBTL3Hgrw/z2eOTyRs3ked++z/Nz7kFeBAG6Rjd0qx+Kt3S/83xV+ApQRCWiaLYfPjNB/7tiAKAv78/zz71JG+/+x7dunVttUEpoWPHFJ55cgWrPv+SBnsDc2bO8Nk92BcSExN54KHFgEN7fO13P1BXV4tCoUCr1dG5UxopyckYDI4wZ1uKp2+HJEj1CPIxNA0m8gsK2Lx7P2o/Nc/87BcIguDUr5bGOXnyBLt37mTBwkVEB7t62cvLK1j57rvMnzeXuFjX5jvgqLd4/7136du3L6PHNHlf2ipfuHP3HkRRZPTI5rsvextH2petuoxgnfdIjzupmDhpMr/6zW/5+qsv+Pvf/vpvTxQUfiqiMmIcUYKTTc3VorxcpkF+Bm40GCkqKWH8Se9kAVxTkZxFzgVVLOmVytYLuXyVn8/YiAiXCitJKlVe3Ozo7aCntsDR3yFEq2HBiN7oI0Oo1ujYffYqZRYBhUJAYwglNSmBtKR4IkINTR77Rr1ybx8subdcgedHLSZY67UeISZY62yYJXVdBkiPCOB8SS25FUZEUeTqjXyE/EucuXyNjCkLUKocHtT4ED25FUbCQnTkX8+h+PhWOg4dj39EnGtn3AA/zm76An1CFwyJTX2qJZIQFahm/w/f4B8UzLwlDlEBX0aGN5IgEZysK5c5d+II9z/4kKfAQRtIgl1sXSpsr67JPFtn4nRpBb/+6HueXnQ3fhExbVY5kqO1tUot4ceITOhUCtIjXCOpkrEeE6zleIieU9fKMFabCe0yjJqSC5zd/BVRs5qKXL0pEbkTWj+NllFzFnH0yFG+XPkKkRkjCIpy5NjLI2DexpM8/eF6NaMnTXOMZ6vn5LFD7My9hsJmwqY9T1L79qSmpRETE+vczqBVOdKUqipdvOtancElRck9915rN0NtGZarpzEXlziamjUSBPeeLO7SyxIs2CnFQjFmOhOIpvGtMjRc71Q8ChzYk5fW7mRA5/YsmTkGc3GJ810liiJfn8smIjiAh8YNdBlbinKt332IwtJyfv7QvR7R9NaiorKKD1d9w6NPPYfRBlK3iNZGEiSI9ia7zxtJkKAJDGHmM3+g8Owh1n/8Fo8+soz2YaleMwraAl+E4Z/Z40T009+RfYmKn655LAjCOrdFQ4HxgiCcRypSa4QoilNaGu+neyZagFKpZOmSxWzavIVv16xlxrS2dV1WKBTcN/ceSkpL+fTzL7CYLYwfN5YO7ZOAthn2Se0SXeoWjEYjFy9dZvPWrVRVV2PF8YEWBAGVaHPuP8RgICQkhODIWKKjowkJDfWaomCxWKitrcMu2lEqlFj9dOh0Ovzc3gGiKFJRXsbJKxfJvnze2c1ZUCiIjY5mxMiRREfHYMb1Q9vQ0MAnH31IVHQ0j6940jGY7NgPHznK4SNHeeqJx72mWmVdvcq6tWt44KHFt9UrIufGDXJu3HBRhWgLpOtl1+spLCri8JGjLaYu2e12QOTUyZM0NDRgNBrR6/99U5EUKqUz/B4NBBYZ4VJT6Nw9JWmAJohsm4nNVDO9sElKR16zIEGqVXDZPjQUU0MDG7PyKDSaCW1QE6fQIAgCRWYbURqZpzvG1biSd46OMkQyu10HZ9TAYrVyOTuXfRdyKCk/CTR2L9f4Y/fTYRNUmBsgMtRASGgIMSFBxBp0ROkUKMGZUlHT2HW9wWbjel4J9VU1CAolCqWS8BgdMYZAj9zxmpoaLl66zIaj5zmbV865G5Vk+6uJiY4irF0qicNci/7BYewf3rYeW30dPabfj+BmgFQX53F5zwa6jp2NNtDxDOVWGJ0kwVhdyfpvvqL/hOl0SvaeauQN7ulGxro6dmz6gSeefMq5zCXlCO8kwRvUSiWbzlxlcKT39xY0paXZdWouFDv2caKwir4RDunX28ltvlNk4U5DKQgu593dwI8xaKFDWJPB124AIWItuz9fyaCZiyDSALga996iXhLiUrtCWHuyj+3i+tFdhMZ3QOzWz/m7pJ4jL4yWG6hNKSo6UiY2dQu22+1kX7/OmdOn+X79JsqMFkczP70fGqWAptZRbxDo748hKpawEAPRUZFEJKaAWk9qmOM9KtUnKIouUHbmMMWnL2EqqUQpCJhLatA2ponKI45ledUcravjMnXYZPWLfigIwY8MHM9Isr+a6YsynO+Kg1dzObFmG4uG9kSn9nMht1VGEx8eu8Ss8aNIjnNESqT7W2GIxB4cxvMffsXQIUO4a2jT+WsJ7sa0KIq89cGnrHj6WaobHM9Fc+pGzSEkIpqDG1YT33c0xbUNHiRB7miozspFZbfR0NDA9o3r6ZqW6j5c05x1Bp91Cu69LaDl59SX4f6v+Hz+m8D9Y7v6dgYTxFZ6ff7Z6JXZU9y/a8ctbXv02HFOnDrFQ/cvuuXGajabjU1btpCTcxOdXseI8ROJjo65I8XE3oqTGxoaqKysoqCylpKSEooKC6msrHBROpKgVqvx1+tRKBTY7XZMdgXGeiMNNhvu1zckJJTO6el0S2nnkqfvPg8J586eZfOmjdw7bx7R0TEuc7Tb7Xy86jOiIiIYP26s17H279tHVtZV7pu/oM3nXn5urVYrz7/0Ms89/dRtNceTY9+BAxw9dpxBAwbQu1emc7n8PGzZvImkpPYUFhYy+S5H1+eSiqo293r4sWAI0B8TRbF5ttMGZKYkiPv+9pTToydXF5EgefvlCkV1oSq2lJTwQEZH1EqFixqSHPL0AclLWFNQS3m1mVyjlePmOnIbTAgIxKHFgJ8zZQAgOiOysVt0E0lQp3RvVhVH7pGW5wDb7XYw11FZUUF9VRmFhYXU5F3DLorY/XTU2ZWU19uosdiobwCj6Ee1WcRub6BbdAA6ocFJ7OXPWWxYMAkdUjGGJHCxzMzG43mEheicRr17VKKuooRLO7+jXeYQ6oNcFY/iQ/RkH99DfVU5nYZP8Xrvq+uKyD22g7vvX4qfF6LubnA0F0144+UXWbZ0CQEBAS5a6i1FEyS4RxUuF5bxw4EzpEQYGNkx0ev8SxUC56vrGTawP7FTlwKQc2ATMR0aVXNuwzt4JwyRO/2M9eiZKa7fvgfw9CC7d/mWF8mb6+vY/82HTJ67kPZxMT57LMg99VJTQLmnuTrvGqWXj4NdJKRDOoakdGdnb3k63aiU8GZlM+XnVupULl9fX1eEKIrU1tVRmX+D0opKCkvKKKquxyz4YROayJKmtggx7wpicRlirZH68joaRBGrXaS60pGSZ6pq2r/F1EBVPegbVKjx7hWXSEJ49xRqTRY+2XeKzrERDOuc5LHuyZwCDhdUsGTCIHQRnhHxipo63tp0gEceWkSoIbjFvgjeomGSYf3RF98waPhoYjqkehQttyaa4J5CVlNewv6N32FU6IjtNQqFSuVCEAAi9Aqu7FzDI0uXMqiDo8bk06/XMnH8GJf12mrPNFf03BbRgTv1jAmC8Pjbb7z+0vx5997uUEydOZtNW7ZGi6JYdNuD/RMgCIIg3iED/982oiBH716ZhIWF8X/Pv8DiBx4gJMTQ5jFUKhUTJzi8KXV1dXy/dRdFRYXo/f2ZNHp4m2oh5HB/YKRIhVKpxD8ihpQISOnY8Y7UJMih9DKe3ANnMpn4+MMPiIuPZ8VTT3t84IuKi/ngo4+5Z85s2iUmuvwmjbF29Wq0Ou0t97aQcOnyZVavXcdDD9x/x0gCwKABAxg0YAB79+/njbdW4qdWM2T0eBITE8nPz+PY0aNcy8pizNhx7N+3l4GDBrN/315effklnnz6mTs2j38lKDR6FIZIpLsosmcHjIVl+Ec1hf/dPfsAgcD06BjePXGFyZ0TiC/Ao4+CHO4kIa/exjWjFQNqDKixI5KHiVzqyapXUFJgYWSMa78GXWoXVOHR2CNbVqVyJwmSB9agCyRUF0hgUns69WjqEGtSaJzGz/mSWqexFYEjp3xggsGjUZS7V3D/zUoKKk1OkiBBIgui3c7lvRuw26xkTFmIopG4SwadzWzi5HffENO5J0mZQ1yMOHAYkZbcc9SV3mTcfQ+7kARvGvvuuehyklBSXMTqr77krvFjCQhour5tIQngUJySk4V4hYKHB/XgcnE5Hxw6hyBAn8Ro0qPDqKg3c7HWyKH8Mn5773hO5haSFBdNdl4hd93/OCd2bbztFIJ/xaiCQnDcZ1L/AelelHdYliCvK9Ho/Bl67xIObfqKovTu9O/flFIrjwa0BKs+Br8OoxFFkeuXzmDa+z4HgNCUroyaMIzYEB3dYoJICNI0dUyuq/QYR9v4TLmTBAmScRwYEECwQUM7QxS0j/JK6m3Z56i/bCd7UyXoAx3/NaJO63BUlNN0/+aJNooEG7V4T7lO9lcz7+ej0EeGsP38Na4UlnHfoB4oqutcIp12u8jqqzeJCNKzfMowl47s0r2elVfIumOXeO7Bu1EbWhER95EyV2P3Y9UXX9I+qYMLSfAWDfJGEuRiCnLkVikJHTANfWUpOXvXEaxRILRLJbZzJmE6kfwr5zl27jAz5j+Aqd6ISqXCZrMxb9ZUKmtdIxBtbTjb2ufzX+0Z/P8ExYIgfAesAbaIolh/qwP9f0EUANonteOJxx7lw48/ISAggNkzZ9yyV9jf35+p06cDjkZkWzZtorS0BK0SBvbvR3rnzq0yaH09PLejbtQaadDmUFVVxdrV31Jfb+Lue+7BEOKpJLN5y1Zybt7k6RVPeEifmhQaLBYL77y9koEDB5LRM9Nj+9YegyiKfLzqM4KDgvjZM55kxRtupbP24IEDGTxwIGazmfU79rBty2ZiYmPp17+/QxYS2LplC+VlZSx/YsUdLUr/V4QqPBob4H73eOu2DE1Gf4BKxfz4eLZcL2a/TsFEayz+fp6vGG8kwV0HXYFAAjoS0NFgFym3W1lXVUJwlon+YZ0Yk9wZVVIX7HqDs6DSvehWXojvUFvxLBQEh8FcY2kgUK10ygT70jDPbGcgXK92UQuRlFykplPSduF6NZntDB4Gvs1ioeTENvJy8+nQtylvXEJ8iJ6zJ09gzTlNl7GzUOv8PcYQRZGCwxvwDw5l+NR7vHZVdicL8t/lJGH7ls0U5Ofx2KPLnKmDHgXMbmgu5UiC3CBLjQwlNTIUu13k8I0CvriYTYi/jgG9u3LXiBCUIVGcPXWU7LxC3n3lbxw6esKr2tqtRHD/1ciCJPUtkQV5GpK3wmL3ZRkPPMzJ/btY+8GbDL5rGmGR0S0SBHnBvLHaTG2lydHorc5KvUWL1hBBeV4xGz95lwGpEST17Y4qaihau+CzwZ5dZ/Ao9nfpx+OWsuaEl2699spijMUVHrUI3tCcIluyv5qBGVG0G9uF/cXlXL9eQP9O7RmZ7kjHM1bXNY1TVcs3Jy8zf3QfOqQlu5AE6d+New9TWFLOM/fPaZOTyp0knDx1mp27d3PvoocIDg5uliTI4R49kEiCtzoErSGcIdPvQxRFynKukLtvLUVaHRmZmUwc/RwxQTqKr1/CZrOxdtN2/vz7X/nst3E7NoivMf6DfzgmA1OAPwOfCYKwBVgLfCeKYmmzW7rhJ0MUzObbT/HRaDQseehBCgoLeevtd4mMjGDGtKnNdjz2BvkDEBAQwPSZM9HazVitVvYfPMTb777n/D0mJoYu6ekktUv0KHxq7uGT76OtXaLl47ek9iPh7LlzbN1zkIDAAKbNmElQkKekXnV1NR9+8D6DBg1i8ZjRXueck5PD119+wYMPLfZKMppDQUE+u3buxFpbBYJAbW0tUyZOJLkNOde3A41Gw/Txo72es61bNlNfX8/Bo8f+IXNxh81mY+eO7TQ0NDBo8BAXr++PBXlkwb0gWQ73yMH8nrHUWWysu5yDpdrE+PhoJ2GQpzH5IgnuSPXX0C0qlOiMSNqNzeSS4M+Hhy7RcKYEC0p0gQYye3QjOSWFQDcPl7smuVwdxj0/X04WpPUloztcr3Yp/pRHD3ylDkjbhevVnCmoprIon0uHdoIokj54DN1HRHp4BxtsVi5sX0NAaCRJUxd6EISYYC3Gmip2fP0xfcZMJjK+nVfjUoKcLET6q6mtrubApo2Ya6sccoz1Jnr0zGTK4qaGgq0pYJYgRQ9a07sCHB2yR/bt4vxbExnqNNCOnL0IwJypk5g/ZyZ2fEdcfwyIosiRw4cpKChg0KBBhEe07pjaviPPRQatyqfsqft6AJFjxlDQdxB7N66jurKcqdNnEB4Z7bG+3DMtkQQAY2Ul4Gj0pg+LIzIpmoR2BqZkxDIuOYzim9dZ+9FKLFZHqqter6NrpzQ6dUxBp3Pck/IaHnk0wSmlW5zl2HFAWJOEZhsb50lFy/5Reke9FNCu8Tep2VqR2XHOMg1a4vpHc9hP5EBOEWOGDmByO0cqn1xmVRRFfjh3jTqLlceG9CQgxPNbZ7XaePPL7+jVJZXxg/s2HYcEb7Knjb/XK3Vs3byNvPIaRFHE1ACRUdEsfcLR9Kw1JEGKAnpDc3UIALEhOmJDukOGo+FuTLCWmCAdBq2K4zdyAIiIjGTjlm0+93+7aI4kXLp4kbNnztC7b18SE72nI/4Htw9RFA8CB4FfCoLQEZgKPAC8KQjCIRykYa0oildbGusnQxTq60289OprjB87hrRU30U4rUFMdDSPPbKUvPx8F8LgnrPvjpb0ov38/Bg2ZDDDhgwGGr1+hYWcO3+BbTt2QGO6mCiKREdHk5LcgcSEBK9Gn7uRL/eotcW71pw3rai4mA2bNlNXW0eXLuksWbrUp4rDnt27OXf2LA8tXoJOp8Mk2780/ob1P1BWVsZTzzzb6offarWyedNGbt64SXR0NDPvGntHPPZ32qBI79KFP/zpL3dsvLagoryceffeg9FYR0BAIIvm38fU6TN4sFFV606iqKyCvcfP0D+xSStdunuktBJf/Qr00RVOEuGvVnFv12RqLFa+OXIJhSAwTBOMtdgR/SyXSa/6QoBKQaZBS2iQhpQJHQnvnkLgwFH0ikymp85Aqc0REayoKOfShfMcPnQQLPUIgoBVUGEwhBCblExwVCzBhhCqzA6D3p0gyOFOKMC7h/5ymdFrjri7ZzdWbWPXts2UFRRhCQin1/hZqGQpQvKahfKbWVw/upPOI6eR3M61VgEcH/xr505y5eQRxs59CD+NtlmSICFC78eJQ/vZeeEsESEGJt41gdAwR/d2d9UTeV2CHL4aKUkwF5e0iizI7x35+qrwaJQaPS//18/RaDQt5je39dluKapgtVp5Yvmj7N+3j7S0NB55eDH9+g/g0eXL27Sf1qCopJgfvv+OIaMnUGdzfBPc09jkMqPy36TrFahWOlS27r4Hm9XKtvVrqSovY8yUmYSEhTvXD9erPbzSUnM3vcFAgEGLPkhDjw5hZLYzMC45jAC1gsjoALpPHwc4vOO1dXVcuHSFr9Z+T71dgVVQUWVuQPTTktg+mbSUDkQnxbqQBMvV0wBNNUReFHGkiIODLF4GcJFDliMqI8alV4uxsIzogioqC2rZfb2QU1EiNREB3DuqPyFx7Ty210RGUFxdxwebDzG+cxIpEZ7vMVW4I/Vt1ZYDLJk7k/DQZpxdbqTnzMUr7Dx+Dj8/P0ZPmMywdsku31Mp8ih3LMiLyCWiKH/PyFPPvCmuSSTB3aEgQXJuSPdSQW4uc+YvIrFdklMBsSV4e9ZuJVogiiIvPv93Xn/1Vfr268dzzzxNbFwsTz7100/jFQThEeBZIAY4B6wQRXFPM+t3A14F+gLlwFvA/9ypmgJ3iKJ4Bfgb8DdBECJwRBumAv8tCMJ14GeiKP7ga/ufDFEwGIJ5/NFH2LR5Cxs3b2HMqJGkd/bsFtwWxMXG8uiyh7mZm8urb7xJSnIHJowb52Est0QQfEEQBELjkhgTE+OyXBRFCouKuJqVxanTZ6itqwNRRBRFNFotmRk96JKejrcarduNNOTm5rJ7ywZM9SaioiKZOW2q0zA3eYl43Lh5k2/XrKV3r0yWPvKI17kUFhbw+apVjBw9mgl3TWz1XKTow6w5dzNx0mTnPm8HoiiSff06BoOBGIN/yxt4gbtRUV9fz6WLF+nSig7Sdwp2u52zZ89w8sQJ3nrjDYYOG8Yf/vRnlEollZWVvP3Wmzzx2KN3fL9RYSH4qVS88MUP9ErrwJAenVz6EsifBPd+BZrIYvSRTbKGAIFqP2Z1SKDGamX1uRxUNTa62HUUm+wenZ/lkEhCu7QwojJiiBs9AHXGCGxhSbJUIgdCQkIZPXwoDgW4JtwsKuXsxcuc372TwtJyRFFE76dAr/ajU3oXumf09Jp+WGNpICFI47FMjuI6i890j5rKCq4e2Y21tprwkGBGjRqN1hDO5TKjs7hUDoPKwp7vvkUfEs7ERY94Jdkhfg1s/fx9opOSGTdvcasIAkBtdTVff/wOA4aNZsmyR70aneAWRWgkCfJogjtySytRKhTIFeR99VCQ4I1gyu+hwyfPsECmaNacMXI7ZEG+XVbWNQ6cOMOqTz9BpVKy7+Bh/P39MZvNfPbpJ/zlT39s0z5ag6jISDp3TufdN18nLDaeqZMnO6+FvHZBgtfr1CgzWmmyofLzY9zUWegVdr7/5kusVgvjp0wn2OA43zHBWg+vc2RiO2ftTGY7A+kRAc6aBH1dkcu1VwAB/gb6ZGbQa9BwlyhdflklN69ncenkUU5tLwRzHYLFiL2sgATRRO8OsYQbIh2GRqM0sRx2vcElPUmKNkpkQZJEDogJJrx7CrpURzTKaDKzZ9deckorIULFoOQ0eg3JaBI3wJXcWqw2vthzHFNlFU9NH46lrLFJZKMggsIQCYYIPlyzCXVgCL949MFWObvsegM2m4033/+YtI7JLHtgAfiHuqQ7yuHNESGHPKpUU1mOqa4W0T/C61zkvVO8wb1XCsDpE8fI7OtQbHIvUG9t9kFbUVhYwLGjR/n+u+84efw4u/btIzY2Drvdzob1P/DOypW3vY9/JgRBuBt4CXgE2Nv47wZBENJFUbzhZf0gYAuwG+gDpAEfAHXA33/s+YqiWAK8B7wnCIIOGAc0e6F/kqpHoiiydfsOLl68RJcu6YwYNvSOhK+uXLnKxs1b8A/wZ+KE8URFOj5it0oUbgX19fUcO3GC8+cvYEFJSEgoo0aP9pnG09IcRFHk2IUrHDpwALvdTmxcHHeNGOKzL4R0rBXl5Xz5xRfEhAUzc/o0lEqlx3loaGjgqy+/oKGhgbvvubdNKVx79+wh6+oVFixyLVC+nXP6+nsf8Ztf/RKtVofFYmbKtGk0NNgRRRGLsZai4mKS2rUjrl17emRkkJLSkYRwAzdu3uTa9evYlBpGjhpFQX4+MbGxBAYGIooiX3z+GR998AHrN22+5bmJosjnn63i7JkzzJ13H6lpaZSWljj1x+U4fOgQjy1bSoO9gczMXowbP4GZs2d7vcfvtCJL7+7p4qFVrwBw7Nxl9h4/Q0J0BFNGDEKlUjo/vi4dOGn6KEshfm/SqLUFVeTerGTDtTwEBPyNShqsnmw4SqOiW5S/U+HInSQU1DYpfwWqlYSrPJXAoOlelqcSBaqVaBV2rpw+zrETJ6i3iej0ekaMHElcXFOtgNyz7qsQWq5OUlqQy/lDe9BgJzYyjP7DRtEuOsJp8NVYGjyIgs1i4dS2ddjtdqJ6j8FPo3N++KWCVlEUOb1vOyW5Nxg8ZQ7x4c2n88mNgpysK+zZsoHZi5YQZQhwHj/gsxurC0kAZ/MrCZsOnWLpX9/CaLJgt9sZ1imJYL0Wm92O2WqjwmwjWK2kfUQIqUH+pESEEBscQFltPTetVurMVkZ37YBZH0CQXktEYnsAzpbWMm7Jz7l59giKwHCX6yddQ2/eT/f5b9uxk7XrvuOeu2fTOzOT0rIyoiIjPaLF165ns/Sx5Vy5cpW+fXozaNgIFt7/ABqNpwKdNijkjj5jvTJ7itv37KfWYufClSz2b99EeEgwU6dNd4kuS2TY23F7S1+RyK2xro7N36+mtqaWDt0yUSd04mxhDeCqoiRvEih1RdbazajKsrFln8NeWeyMBki1QO5pfJJHPCFIQ7jKiqosGwCxppQLJ05w4OhxzIERqPyDGDhkGOlpHV2iRdL9Zj+/j5tfr+XqhivO3imBMQH4R+lJGtcLXWoXKpU6Nu09QpUVdFoNw5NCiVM3kLf1AEUnC2g/vishXVOdRAHAUpzP2j1HySspZ1bvjkQaHE4xOanVREZwoqiW3Zduct89s4lpZRqdXW+gtKyclR9+yuIFc4kID3N5V7ijJZIg4cjJ0/z92WUU3MzBT6Mhtn1HguM6YDUZsdvtVFVUoFWrSEpJJTY5lbgOqYTHJmCuN5J/7Qq1VRWkZfZD6acmVKuiU/tEQnR+lJWUMGV4P9Zv30On5CSfNV0t4fiFq7yz8i3Gjh/PkKHDMNbVERgUhFbr1j2+ooLnnnmazZs30adPH/r2688DDz5EWHi4x739U1Y9akzjOS2K4mLZsivA16Io/sLL+suA/wWipAJjQRB+DSwD4n+sqELjfqIBFy+TNzLjsd1PkSjIcebsWfbtPwBAn969yeyZcdukoa6ujg2bNlNcXEJERDjjx47BLzjcY70fK1cWmj6SdSUFbNqyhcrKKqKjoxg/dgyKgCZjwdccCgoLWb9xEzUmG127dWPAwIHOj2Vz8z577hxbdh8gMCiQmbNm+yQUBw8c4MjhQ8ycPZvYWM80CV+w2+18+snHxMXFMXKUZ51DW8/p+QsX+ONf/kpOzg2OHj/Ox6s+Y/KUqeTn5/Hd2nX4B/gjCAJ6nR5DiIEbOTncvHGDM2dOc/XqVUpLS4mNiSUxqR3GOiMH9u8jNDQUo9FISseOFBUWolSpeOOttxkydGjLE/KCXTt28Nvf/AqAnj0z2b17F9eyHPm7PTIyeOqZ5xg9Zgw1NdW8/eabfPzRh/zf8y8yZerUFu/lH4UorFvl0mHzRl4B63fsoaHBTqe4MIb17oFK5Wp4yYkC4EIW5J5kKdpQkVfBrkv5ZBVXoVMo6KMLIqSxAVlgTIAzzSCka2qLJKGlj538w+1UcZFtU2P3Y9uOneRdv0JgYCATx4wkQiu4eNOlLrRyA62uppof1v9AbVUl2tBoho4chVqjdTHW5Z1zJX368sJ8dm/eAIJA12Hj8Q8O9TDgAIpuXOfYjo10Gzicnj16eByXfD/yFAaAvds2UV1Zwb1z5znvoeZIgteC1UaSUFBWwZ8+WsPpS1kcupTNf913F8/OHE3pjVy+OXweAI2fEv/QUIL9tRTkFpBbVs2Jqze5VlpFQXUtIXotSaHB+GnVHLhyE6XSUdKbGB2ByWanvLqWv/zulyx4cInzmgEeBpcvsnDu/Hl++Zvfcf7iRSbfdRd79u3jzNlzACQkxPOzZ55m+pQpKBQKVq9bxy9+/Rt+8dyzLH9kWYsppz8mUZDqYmx1VWxc9y2m+npiYmIYMmYCer3eq8EJrrKqUr2NvMBeazcjiiKbD5zg8NFjlFnsZPQfSky79h7ru8vgSiTBXFziUBZrFA3IEh3xI/c6HIkoRFpLXOsSGmHXGzCr/Nm7/wAXLlzET+3H8HET6RgX6dyvRBQOf3GWvHobAzMcAgUd5w5kn82fG+V1hIUYmDBiMIYgh7Fvyz5H2d69nH7/IGeK6hiYEUWXBUPQpXahVh3A6m17qCkpYVy/Hs6+COBaiF9SVcvnhy7So2cPl0agLvBWfK03cOzkafYePMLSxx53RiZ93bctkYR6Yx2fvPkKR/bt4syxw/SfMJ0Hf/88ot3O0W0/kF9UikbnT2iABq1/IDarGWNxPtmXz5N7/SpFuTdRa3UewO/kAAEAAElEQVREJbZH6x/A1VNHMRvr0Pv7ExQUhL+/PzdyslnwwGL+/Kc/NqWIuRWbN9coraCwkF//z5/YuH4Ds+bM4fixoxw5fBiAoOBgHn9iBfPnzCA8LIwdB4+y5MEHmTVnDr//7//x6D3kfn7iQwN+kkRBEAQ1YATuFUXxK9ny14CuoigO87LNR0CYKIoTZcv6AIeBDqIoXr/tybvuLxh4GZiDG0kAEEWx+RcgP6HUI1/o1rUr3bp2xW63c+ToMd5c+TaCIDDxrgkkxMe3PIAX+Pv7M2uGQ9WopLSUNeu+p6KunpDQUHr0yCA5JaXFj0tb0FzEQhsWytx77gYgv6CATz/7HAtKhg0fQUrHjoCj0LU87zqnzp7nWr7DUxIWFsa9c2a7kAr5/uTGUr1Cx3c/rKewsIj09M4sfcR7+gNASXExn3+2il69+7D8iRVtOs6iokI++egj5txzLwkJCW3a1hfmLrifEcOG8tCyx+jeowf+/o50o9jYOB5etqzN41mtVlQqFfX19Zw9c4aIiAjad7j1YuqTJ47z4P2L+PuLLzG50VABBxm1Wix8/dWXrHzzDR5YOB//gAAGDhrE1p27SXSTnJXjf//8JzokJzN7zt23PK8WIfswxnfszJKOjjS/i6eO8c73O7HVVTO0dw+6pzWdG/kHWJ5/LqUD2EoL0aVCSGUx4cUlxPVykIY6i41dOQVcrDej81OSmRZNxLA+aCNiHfKneoMLSZAMXokkeFVWocng1esNTilHbx/IYGDGgC4woAtVBTms+/ZzyvLz6d8+gs7+GnTRkajsdox+5Zy+Wc6ps+cwWmyIKg3jxo7HrG7yAnsrkgYHQT6+ZzuXLl8mJCqaXnfNRuXn+s6WoglmUz37vvuK4LAI5i993Ouz6F4fIf1tNpn4+qN3GD58OF0mNqUB+iIJ7rUIcpIg4bnXPqWqqpI/LJhEWnwk4UGN0QmthkVDm5rHSdfcHN/kVHGPLOkjQ2iw21FHhCOKcKbUSED7dDr1yHT0gaHt+c83S6u4a+oMnnvqSb5c9YkzKlBXV4cgCGzYtJnPv/yKp5/7OaIo0r9fX9Z98zX9+vbxOebnX37FtevZ/PJnz7ZpLreK6GA9i+bfB0Befj5rv1xFvbGe5PRuZA4Y4nIPeFPu8mb0A4wbmEmvvv24XlbL+cN7OX1mPwFaNRnpqUQnJxAgWFwN4doyt6jgOQKTumD0j+JyTpPimVRoK6XABagVKKoqsZUWukQbbWFJAPgBI4YNZcCIMZjNZtZ+v561+Tfp3r0HI/r3wg9H9Oyq0cwVs4mywkKCOkdzplLN6HEjmZQQ7/Gc118+x/WNZ9l6o8qRwniyiGy/7RR0uEBYh1Sm9epEoN61uaGk6Ga32/ls634sVhvLF89HHeJZCC6dD3c06IJ596NVxMfFsvzJp53Lfd23rYkkfPn+SravX8sDv/gD90XEER7TaLsoFPQb52gW603ZTIJ7GqQoitisVmIN/pRkX0Flt9KnZ3fUarXrO9Dt+HxVLFj8Apg++276DxrCsVOnUemDCFArMJlMCILA8f27+eiTT+k9YDC1tbX0zMzk+RdfYvSkaejdyL1EEo4dOcwnH7zLC6+95fO83AqsCtUdUVyyCwqA+wRBkLOOlaIoynOlwgEl4E4migBPT6gD0UCul/Wl3+4oUcBRm9ADmAZ8i6OgOQ54Anja92ZN+MlHFLzBZrOxZt135OcXMGHcWDp2TLkjcyisMnL69GmuZV2loaEBP9FGeHg4ffv0Jj6u9V51d7Q1tanKCvv37eVaVhZqwY5SqSQyUEu39M4kpnV1flRaGrfg2kW+27gF1HomT5pITHTTy9J9W1EUWbt6NdXVVcy9b36blaIqKyt59+2VrHjq6WZJVlsjCk/+4je88dqrbN2xk959+rZp238EXnz+7+Tl5vJ/z7/Q7Hp2uyNFqrlzc/LEcT547z0+eP89OnXqzMGjx36UiMKBretd5+alE6dQV8G2fYc4c+oU/Xuk0yc+1KtkprvkIDiiD/LIgwRNZARGs4VzZSYuldZgtdkQ1XoC9Hoyh48jIbWL895u7mPnhJtXU9J19ynZKJtfQ4OdI0ePcvJ6HgpBQB2VgCGxIwldetM5PR2jDa8pGO4kobammtWrV1NfV0tK78Foox1Flu51ChKqr54k59JZhky5m4RIT4UYX022wPHe++Stl3loyVICApuUXLzlu3sjCu4kQYoSfbPzEPP+6xX+vGgKT0wd7lzfvSbBSRTclsvJghRdkvLCVeHRztQWuZytBG8edfeowpbNm3j+b39jw+YtLsfmDVartVlZ7OycG7zz/vv87fkXHXOprviHRBR8pc8dPnuR3bt2EZ+UzMgx45zFz9BkeHqLJkjX1egf5dHnQCM0cPHiBS4f3Ut9peNaq/386NG7Lz3aRUHuJeovn8NYXEFI11RUA6eTJYay/2alx/zkqUv6uiLs5/c5e5tIEThfBbOaBhMXL13i4O4d2PKuUHniNEXHCsGqYMH4NLo/sQhF+iCXbaR7tGbzl5z7aA+rD+VRZWsgGyNGGpgZG879v52JPs2znkx6B124lsO67fuZN2k08dGNDo3m1JjcIgpvfPk9Y4YPpUNSolcJX3C9b91V0bzh0tlTLJo0kl5DRvLbNz91LpcrH7nXG3iDe6RHXhDvfn94vDvdz4EsqpxbbabH0LEU3sjGrGxKMfL2rFmtVho0DmeCt/S5yooKPvzgff7797+joaGBrIIykmPC7lhE4fW3Vr40d959tzsUs2dMY8vmzS1FFGKBPGCovHhZEITf4YgydPKyzWbgpiiKD8qWtQOygQGNakV3DIIg5DbOZY8gCNVApiiKVxsJ0AOiKI5pYYiffkTBG1QqFbNmTHcUy2zaxPpNmxgyaBCZPTNua9zoYD3RQ/pjGjbM+YCUlJZy+MgRNmzc5FwvKiqK3r0yiXUrYvYFX4ocvgx9jQZGjBzFhOGDvf7eEps+euw4+w8cJDY2hkUPPezUTveF7OxsVn/zNZOnTHVGMdqC0pIS3nv3HZ548qk7Hol5fMUK3njtVR5btuyfJl3aHEaOHs3QgQNY8fTTLjnw7vClNiXh6pUrDB8ymJ/94pf8z5/+zEfvv3+npwqAqHC8EqQPsjwULScMon8Iowf3Z/Tg/uzfu5uXv9pA53ZxjO7TDbHKs6jVV6Mud6WcgKh4+kXBIBmxqEHLkdMn2L2tqUYkKDCQvp2SaCdWO8mDfFyFVEAp/S3964NYuHtClUoF/fv1pb+j7g9VUhdn+hNAQOMjU2NpcH6M5SThRvY1dm3djKDWMXLCZOoUWp9yhwD1NVVc2bWODl0yGDv3Ia/Fys0ZCWaTic/efZ35C+6/IyRBjsndEgnSa/nFB+tciIKcGLhHkORkwSmt60MtSw5fqRtyuBufvXv34cD+fezbu5dBgwc3qwHfHEkwGo106taD+xcu4LOPP+Te+QsxmbwTujsNb8XZJoWG7t170L17D65eucJ7b71BZFQUEyZPxSQqvBqB0nY09hYpqLVyucxNc1+tpH1aV9rLjGmTycS5M6c5uPEQyvpKhBojaoud3tp4QhWhVNZ5Grhyw7XWYkerM6BKchQbSz0W5PCohzFV0aVdNF3m34uiOIua/dGcs+6hpqCWjhMc0R6FsdKz4LmRJHx68AZnGxwt19qjwx8VDVVQdibLgyiowqMxWyx8uGYzkWEGnnvwnqYoTUuSrZJak93OylVfM6hXBh2SfEd83SH1VwHXYmV5WmJa1x5MnD2XH75ahcloRNuYqtNa0QIJ3tIe3RW1QPYub+W4cYFqlAoFb739DkuXNK+25+fnR0Mzv/frnUm7pCQ+/ORTHnvkES6eP9fKWfxLohRowBEJkCMSzyiDhEIf69PMNrcDA5DT+P9VQBhwFTgAvNOaAf4tiYIEhULBxAkTEEWRPfv28/qbKx05yBPGE9qc7FkLkL/wIsLDnR2bJeQXFHDs+Am+L1iP3W4nIiKCiRPGexT7uI/Z2nBZa/svSBBFkfPnznHo4AGwmOjRoxvLH13WYv57VVUVX3y2isjIKJ548qkWjVlv2LtnDxfOn+PJp5+55QZ3zSEmJpaYmBhqa2vu+Nh3ArGNxcr5efnNEoWWkJXlkDp+fMWTXLl8iddfefmOzO9W4F4HMHDwUAZmdOH0kaO8uWYLKqWScf16EK9xNRTcowhy41KufuNeKB2IiZHdkxk5sCliVJGXzaED+9l0NYsGux2t1cyE7h0x+DfW1BSXoKksbopoAAo3I9i9rsKbr0+ai7fcXXdPad7NGxzcswvRaiIuPoG59y+mxio6axMkFFSZnHUINpuVgxvWYG+wMXLWfJ+Sp82RhOyrl9m9eT0PLn6YwCDvnWN9eXWbIwgSVEol80b05o0f9mK32z3eA7cii+oeTZCjOZIgX0c6ppBQR+780SOHGTTY03nSnJy0/Dez2XGNFt43j05paeh0Ooci3T8IzanOdE1OJOWJ5eTn57Hqo/dpaGig/6AhpHfxrsQmRSskkuCLpMprZwhNJmlkZ3rFBBKusmIqK+Dg1QLWffA++VX1GBtEug0cTli09+i5SaFB33gtHcdid85FulYexfIyaCIjaD++K8bCsqZ7qrbMxZjN/vYDPnpzA6dyKqhusJOKPyrZGll1FopOFhDe/ZzzPhNFkXXb95GdX8S8u2cTFmLwOv/mUFJWzjufr2bu1Am0i4/12g+6td9wX/LMw8dP4oevVuEvmgnzb5qjvA+KfPvmlJO8QboOEin1Vs/lTcRABQgBYcTFRLN500YemT/7tjqmFxUVMX/hIibcNZHoqChs9bW3PNY/G6IoWgRBOAaMAb6S/TQG+MbHZgeA/xUEQSuKokm2fj6OqMKdRhbQAbgBXADuEQThMDADhzRri/i3JgoSBEFg6OBBDB08iOrqan7YsJGqqirUGg0D+/cjLTX1jjb9iI2JIXZiUzShoLCQF15+leWPLG22Udad0iuGRrWU06c4dOAAoghdunZlwaL7CVA0x/Wbtt28aSPZ169z34KFHoVIrYXZbObc2bO3VCvQFhQUFDD3vtsPNd4pSB+M3Nxc3nrjdQIDA0lOTr6tMfv1HwDAe+++Q/a1ayxYdP+dmGqbITespFQeu96AAujepzfp7eMxW6xsPnya9SXlKBQCPVPbk5naHm9PmLfUJJ+QGbMhwYGM7t2NkSlRmItLqKo38eHuk4xvH0u8IdBpmNobyYIvtSY57HJiIa3XgrexNC+HjVu2UmM0E5eYyN1z5qBrfF5qLA1g9fyYSyQh+8IZLhzZx6BJswgKDW8zQZBwYOdWlj/p2rncmxcRfNQmNEMSJGw5fonQAP0tOQvk8EUqbsXwqLXYqaysYPVnH+Pv78/QYR51gy5oSW41pNGA/N+//Z27JoxnzKiRhIe1rUFYq2BvQF9XhFZnIEDd+ve71m6mQ3Q4jy5bit1uZ9/evXz2/kr8RBupqakM7N8PrVbrcpzyHiAS5Abm+ZJaCqpMFFSayK0wEh+ip9RoYWCCgcDgRLr2SqRdN0dGSHFVHV9/+TkkpzJk4ACPiIb8+6W1m3GxV2WWtc+aIkMkIV1BH+kakSwuLWfDzr3UlBXjX3KT/iEh1F23UuvVXHdFTmEpX2zbz4zJ45kychAEGFrcxhs+X7eRZx9e2OaU27bg4umTAIRGuMpOy/sqyOHeoM8bQfAVUXSXQLZH+v4+mS0WvvhmHUXFJTz5iCOa4K1ru/wZlr6B3hwU/fr3Z+WbbzB6zFisNqtXcv8Tw/PAx43G9z5gKRALvAkgCMKfgb6iKI5qXH8V8DvgA0EQ/gCkAj8H/utHUjz6AOgO7AT+AnwPPIYjoPREawb4/4IoyBEUFMS9d88BHIbsgUOH2bXbkVoWEhLCsKFDnLKodwox0dGsWP4oL7z8Kk889oiz4LY1cG9q1lw0wWKxcODAbs5ccnifu3XvwUNLHnb9uNubJwp79+/nwPHTjBw5irHjxrd6nt6wa+cOxo4b16Zt2qKPLr2M+g8YcNsGzJ1EYXU9zz29jM2bN3HPvXM5dOw4oS0YHO7X2R0Gg4FZs+fwm1/+ArVazdadu+74vAFQOD4skpfXW964HBJZACAgDBWOl8r0aY5i9YaGBk5cvMoHu45ht9vR2MwM7t6JDrFeCIKsoLI1kAoTNUBwcQnLx/bjxTW7mNQ1mY6RIc6UGHlKkk22T1V4NLbSQu/RDC/1DSaFhmqTjTOnTnLqxDEaGhpIbJfEhFlznel70mdbnmogQfLqFmRf5fTe7XTrnsH8pY97PbbWEASAwrxc4hKTfDo6vGnwt6ZPgnuDtbkjerNyw75WzQk804+kZUBTNMENbXGKWK1W/vbnP/DJ++8ycuw4Nm/bcVt9TqRz8/xf/5ennvsZR44e469/vvM9FORQ1FciuWB85bp7g77OkZ0wrlca43qlIYoil65e4/OPP8BssaDUB9G3dy9SumUSE+DntdGXhPSIAGfXcamYPlyvptJkc0mZAYgM9ueRxQ/yw+qvyTl/koT+TXr80vE4G6g1qicBLnUGdp3B9Z0hnQuAxntOHRHO1WobB04dx4QfodFxTJ0+HYOyAWrLKFrzNUF+Z8m5VMbuUte0qqUz0kibP55iu5qvtx4kvn17fvbYgyiDHc+4t2Zv3iBPd7LZbPj5qTxIQluuWWswYPgo3n3prx7PspwkuJOB5ppHupMEd3UrasuwXD3dqG5ViCJ9UNNxB4ShsNt55+v1/NcbH9OjWxc+fvNlRgwZ6BjDS2qqJCUtwVeE5ZW//5W+g4ay+IGFzJo+7UclX/8IiKL4hSAIYcCvcTRcOwvcJYqilO4TAyTL1q8SBGEM8BpwFKjA0T/h+R9pfi/I/n+7IAidgN7AFVEUz7RmjJ/2FbpNaDQahg8dwvChQwAoKytn9969lJaWAqDV6ujbpxepHTvedsRBp9PxxGOP8NKrr/PMk09g1wa2qXDX27p1dXUcPX6CS5cuYbfbUfn5MWhAf4YPHeJScCSHN0PcbrezbcdOzp0/z4B+/Vj+eKtIpgfq6+vRaDROoz37+vVbIhttbab0i1/9hl//8udt3s+dgtVqZe3q1ezatYPDBw+Rk5PN/AULOX3uAkFBQS1u39Kx5uXlcvTwEV5/ayV20c7WzZs5eeIE3bt7SmbeCbh7d1v6CDrzXRs/MHIogd79IundJQ2AOmM9u4+dYfuFw6DxR6W8RM+unchIT+N2qlckw/SJqcN4efNB7osOIzywKRLmTHfCkyy4wG3+FouVExdPcvJKDvU2EXODSLcePZm38AGUSqVX48vbskh/NVfPneLQ/r1EJ3Zg7uJHPd4pvsiB3BiwmM0olEpUKoc38fCeHcy5+x6X9d0VjqBtJMEdCkMki0b345V1O6mtNxOga51R5C164EISvKQd+YIoiuzYuoXdO7Zx6MA+rly+xOChw9m2/wjRjbVgzaUsNdeBVms3YzKZ+OiTT3lk6RKKS4p59fU3OXvpKkbufLqkYLe5nn+3e05S6HJHcwpf6XFhpM8Yj11vwGq1cuTEKVa9+aLz986pKfQaOIxaVaDL/ZkQpCEhSMPNajPherVLipK894j8/N1z99188enHXAwKoHdGN8ecZe8wW/Y56i+fo/S0w2EV3v0cgQNHuXit5Q6IhoYGbly8zPG9p6jJvYbdLpKWlsp9k0fjF9/UVNWOg1BETZsFQFRGGekFVRSeLKa82szwJ4ZR1SGVtw5lERoUyKMP3odfiEwWtYVmbxIs6gAazGY0jb/vOXKCIX17eR3H17tRapwnP4/eII8IpGf0IjwqmqxLF0hOcxy3r6aO3uAriiiXhJbuO1tpIfWXz5G9yVHXF1lcQRhwzOTP95u3sWvPXs5cvELHpEQ2fP0pXTs73t/u50v+t7dnWX5fiKLImyvfZvGDD/D2m6/x7M9+yc3cPBpqWpX98i8NURRfB1738dsiL8vO4N4h9A5DEAQFDlWjaTiEx7YC/93YN6HF3glytJkoCILwS+CPwGuiKD7WuEzAEUpZAoQAh4BHRVE8J9suG2iHZ3X474FZoij+49re+kBYWCjTp05x/m00Gjl05Cjbtu8kMjKCmdOn3RZh8Pf3Z9mSxbz+1koCwyIZPGQoqfFRzY5pt9u5mZvLhQsXuZnrUNQSRRGbwg+9vz/9M7oyZNDANnnUpZeb0lzLt2vWUlxcwqiRwxkzamSbPCPZ2dls2bSxqT+DTofFbKampoZHHlt+W17+tpCFXr17c+Xy5VveV1vgPieLxUJcbAJpnToxd958lixdRmpqmkvjpraO734Nnv/b39i4YT0vvvB3tFodf/jzX3j80Ufo29hh807CjnDL3jFfhc9yAuEfABMmxDvXtVqtnDh9lre/3QjAQ9PHoQoIa9GIlXu8FYZIZ9RAoRB4bEw/3tt9HD+lkgEpCaREhaJSOu5Fc3EJOimC0DgnURQpLi3n3JUsruXswqZqOn61nx/du3Rmwby5NGgCnLnfxgagoXVpfGf27+Ts+fN07t6TuQ+5Sg83FzkwaFVUVpTzxZdrkCLSarWGBnsDZSXF3Pfgw6hEG1pZrxNvJMEdLZEE92gCQHRIEMH+OgorqknRta4hlcd+5Z285REbN2IqzV1u+M+eMoEzp07y6BNP8Yf//Tudu3RF34bIrK/mZdLz/M3qNfz69//Fuu/Xcy0nh78+/wKPPLyEmFjPhoi3jYYGjxxwaVbSc+GtEV6z9SSN51NhrEQDDO6awuCuDrU/u93OhavX+fLTj6iot3Lvooc8HBhyMiq/J93TiqR0kgfvX8gXn3/G8YN7GZwcSY/EMFSNUTV7ZTGlp69SdLIAAH10GOorp6i3qzlTfInLV65SZ2nA3OC4pwVBQa/OHZg9czrqomvORm/2yGSP5mxSmmPUtFnO89cZOHbpGp/eqKBjncDDy1egUqk8jFj3+0waz1JRxFffb8bYWLiu0AagUqkoKill+qTxXLhRyNCRo7HLntvbydGX4F5jIAgC6T0yycm6QmD87aWqSvD1HpCuUV2RkZqCWgJignntzY/40xebee7xR/jNc0/Tq2MCoYZg5z3ZXARGgntUQY5r17P5+a9/y45duzlw8BC/+/Uv+d3//IEnn/3ZLR7df9ACfgb8AdgG1ANP4ZBzXdLWgdpEFARB6A8sBk67/fQcDuayCLgE/BbYIghCmiiK8ipTE46OdAPbOtF/BvR6PSOGDWXEsKFcvHSJv73wIvPuvafVakbeEBJiYOkTT1NTU8PBA/vZvWUDSGlpgtD0/41/KxQKYqOjSU/vzNgxo1EoFB6GnMKLWkZzKCws4IfvvkPZYGHK5EnExsRgUmhorb5HTk4O33+3joSEBB5cvMSDEBQWFvDSC88Td4t9LCS0lizs3LGd9C5dbmtfrYX7nH7533/CYrHw33/4IyNGjmpmy9aN6e3a6fV68nJzefHlVxg5ajRKpZKrV67w5uuv3dpBtALNzact0Z7mPqh2nQGlDvr26knfXj0pLinlbx98xcTBvekWH+qxvjcDVoLCEIkGBxFQKRUsGdEbi62Bw1m5HCuupMHe9Fypco2g8Xca7AIC4aEGOnXPYPDwkV5D4XaZkoc3z52717CutobN36+jtraGAUOG023gcMCzMNEbJILw6apv0Ol0zJt3HzqdzmUfZpOJ9954hWCDwbnMF0nwSDmQwV3tyeO4GwnY1fwSqutMxIV5L5ZuCd5qUVryzErHserTTzi4by+//+//YcVTT/tswtZSEbSv8wIO4Yvq6hpm3H0P06bPQK/Xo1QqeWflndV4B0CpdKbpOSbWqKrjxZgFWfdiWVqIE16agXlsr1DQJTWZLqnJ1JtMrHz3dVJ69mfY8OGOIWTnzb1g1vm7rJZCKoq9+5570WftZc/nn/LZmQjMVofEq4CArUGkQuVICwrJK8VPEY5/5WU6paUydc5cbArHfuRRC7XKiqrBCFKRuyyy4lF8qzdgMyTw3aat5JVW06NHJo/PHeRxviS4jwVgMpn5cu331NXVcc+4oYTEJbmcN1EU+durjut/qw5CuYSy/Jx6K0Q2meo5dfQQcx7zbTi7j3OrUBgiCe/uIJL+UVWcM1v40xebuWvMSP77D39sOoeybXxFYFoLk6kes9lMRo8evP7KS4SHhTFk8CDGTJh06wfyHzSHRcDyxmgHgiCMB9YIgvBwW2shWn3HNXZ3+xR4EAcRkJYLwArgL6IoftO4bCFQDMwF5G/alcASQRBmiKL4bVsm2lpP54/VLblTWhodU1JY9fmXCILAvXfPvi2pz8DAQMaMHefyEW+tl8Ld69ycoSmF1Y+fPMm5c+ex2WwER8Rw34KFTq93awnCmTOn2bN7N3Fx8Sxd9ojP44+OjmHMuHH461vv8fOGlq6ldKzr1qxhzt2334mxtZD2+947b7P+h+85d+lyqxSNrFarI0+/jdGGn//yV6z+9hv0en/nOS8rKyUwsOW0pluBFKa26wwu99WtPlvuOcnu97n0e2REOD978B6+37ab3bt3c//08eh1jepAPuRVXbzUblCrlAxOa8co99x4L4aVvCbDjvdiveagU4hcunCe0ydPUG2sR6PRMmbiZIKCHeNKhkFL6UX5uTf5fuN69P7+LFy40KUzuitB0TLnvkVcz7ri5TfZWq0oXvZFFuTn+dttB5nYoyM6TdvkGltCS++83bt28Ztf/pIdu/fQM9OR/iGldbgb/gFqBVX1Vixms7Og3Bfc7+U5s2by4aovqK2pcYo3lJWVodV670x/OxAVKqdnHDzrgeRwvw89jLVm7mVvRp1Oq+WJ+6Zz8MJ1Xn7xBe65dy76EMfzIRXHepPV9NrP4vp+rq98G83JAoZlGEmYNdXl+ZLXKEiGeq3F7lHHI8Gk0KBvTE/yZtgLxgou55Vx+OhRamsdSjkT75rAdLceRr66s0uoqKjk27VraTBWM2vKRMLDPJ0S4CAHTzz8AJt37Pb6uzQ3b3aJ/HxJz35zDdcAdu7aTUhUHLqYJA+VqnC92tmrxX0c6XpJPTlaA1V4NIHh0WgiI7hw9hKPvPQln658hRl3zwM839kS7HoDQl0FdcZ6/PU6rwRKbsvIvxtd0tNZ/sgybubmEqlXQn0lZXk5aO/wO8VsE1ulnNYSbLc/xD8b7XAULkvYBAg4Cq3z2jJQW6jpSuDrxmKI38qWt8ehCesUORdFsV4QhN04IgdyonATeAX4syAI60RRbP7JuQXcjkHTEpRKJfPn3Utefj4vvvIqw4cOpVdmz5Y3lM3NG5x5w20gCy2NXVdXx8b166kqKUSn19E7sycPLFroYty3liCcPHGcffv20a1bd5Y94plbDZ4f3j6NOek/tgq53W7n+PFjzJw9+0fekyveWfkWL77wPN/9sMEnSSgoyOeN115j29atbNm+g7GjRnD2zBn+/L//x7JHH/VY39f94e/vT4B/AOfOnnEqRNTW1DqVkO4kFDQ5GpxeJRlhaPU4bvdyc3UP8rEFQWDy6GHUFHXg3W83kJIYx+hOCS69EuTyqnKlImkZeDb9ai1JaC0C1ApsNhs/bNzMjZxsVCoV6V26MWPOPWg0mmbzkiXIPYN5N2+wZf13xMbFc8+iBwnRS/0amoxh+ccvUK0kMC6asIgIr8om4CV9xS3lyFuExl0yVjqPx7Pz6ZEY7VXats1oSbe+Ebt27OCBRQv54ONPnCTBOUTjcdbU1PD+u+/w8Ycf8vlXX/Pqyy/x/nvvMvPue3npjbc91gcfTaL89MTExnLixAnnstqaGtK7dGHP7jssHKBQOot6m13NB1n1RQSazcF3I4f9O7cns0c33lu3CRtKRk+ZiVKp9Km9L7+fA9VK9HVF1OzfxtUNVzhTVEe3glr00XuJmjaraX6NBMHYSBDA7hJB8Dq+f5SL8S2KIgcOHeLkyVMobCbSUpKZMmkigYGBznVMtE4yvLq6mlWffEJooI67Z80kSNmy+aFWq5k0zleDXQd8kYXWvAMkFNdZOHnsKBHx7ZzNGCV1NHAIIcjJghxycicnC+59U7zhhjqMSS9+we+fWc7sqZO8plfZbDY++exzXnvjTf70q2fJuZnLY8/9mnZxMVzZ/X2LKcZymywhPp5PVzU1lKutq6NjcnsKijybdf4Htw01jpQjAERRFAVBsOAo1WsTWkUUBEFYDKQA8738LLmivLWw9ia4/Gfgocb/3mxhv0tozKdKSEhozVSBH5csAMTFxvL0iifYtmMnL736GnPvuZuI8PAWt/P1QnHKTLp7Wu12snNu0KF9UqvmVVRUyM4dO6iprkat0TB+/AQSIwwtbtccvv36a7Q6LY8+ttznOr7O9Z1QgmgJa1evJiAggDFj26audDs4eeI4f/nTn9i6cxdJSUle1/ls1acsW7KYkaNGc+7sGaZMnMCrr7/Bp598QmBQoMf6LZ2r0tJSFyOmpqaG6GjfKSNtgetz5kp6Wms8yz1QzW3jLeLloa1eW0agv57l86Zz6lIWL6zbxZRenUiJdxyve/8FuXqRZOB6W8cemezVuLp6PZsO6Rk+j0eO6uoq9u7aSUlxEVqVgr5DRjBqbMsF+82lCxzev5fsa1dZuMRRv+ArhUheICmhNSTBVxGsdN5awoX8EvZfucnLC+5yLnNvstZWtJR2VFJczNLFD/Lph+8xfHA/rw6HA/v3M2HsaPr16cOVK5fpldGdoydOERYejk30niri612ltZupq6rg3PkLzmU/3jOW0OzzLs3R2z0or/1xJwbuOfkt9chQqVQ8NO9usgpK+PaDN+mW2Zfe/foD3u89aCKrRv8odKldiM44BieLic6IJKRrqrOuwLVxnp0bOdnExsUTqFY5x5Lfz3Kj1mQysf3AHrKuXkUURfr07cvSJYudzgL3NFn3e11+rqR5XLl8mQ3rf2DJ0mUY1I33RjPvq7ZGFOXwFk3wBSkV8WZxGVu//JD7/9rUSNMbYZBv0xplNPm5cW+yZrVamffz5Tz31BPc/8Ail/MlbZudc4NO3XoQHBxEXZ2RyfcuYu+G1fztv3/DiTNnve7Tm1KeZJNptRpOnT3vvLera2uJvsMqk/+BC/4sCIJcGkwN/E4QhCppgSiK3qX3ZGiRKAiCkAb8CRgiimJzJfjuOU+Cl2WIoljRqCv7O0EQPm5u36IorsQRyaBnZmabcqp+bLIAMGrEcIYMGsiqL77EbDIxbuxYkto137HRV9qQt5fV5i1bmT7nHuoqSl1Yu7R9WWkp+/btpbjIwdEiIqMYN34CBlnesvsHtrVNYSwWC2+9+QYjRo6ka9duzR7PPwsXzp9n+aPL+OLrb/+h8qirPv2URfff75MkANRUVwNw/fo1EhITWXj/A2T0zCSjZ+Yt7TMwKJDFS5aQdfUqlZUVZGVdJSGh9d1Bm4P8OeuV2fOWdZxbq5bkLW3El1HTIy2Z7qkdWLNtL5vOZDG4Yzw9Uto5f3dXL5J/lr2p67inbly8kkX3waM5f+qEByG36wzU1tZy4NBhLl13iESodAEMHjrcqbTjDa31JAb4Kfjqs08Jiohizn2LfBr9Ltu4kQVv6/kynFqCt2hCjcnMjBc/55kRvfGrqcdY43BQ6WXysy3BV68Mb+88ae5bflhLZs8MpyKdt/eMrbYSjUbD1awsenTvxpBBg+ianMivf/s7wLOAuaV3lVKp5KkVj1ORn0PWtWtcunjhjqU0+vqWeXsWvPYq8ZGuJ8GnGk0zhc/guD+SYyJ4dvky9u7fz6o3X6Jbt64MGzLY+ztV3veh10TS5hcT2fMyIV1TUQ2cjtE/ymMTs9nMuKEDef2tt5g8ZaprvwUVVNsEju8/wLlz57Hb7fip1QwdNIiRo5o8+a35yvi617du2UxZWRnLn1iBIAjOCERL9VPNjSnB/R0nVzqSSEJLykWlRgv/t3whSX1HEt0hrdl15ZBHF9xrF9z7WkiQH/OJE6coqapl6WNPYGxUSZQ/MyaFhmqLnfDwCKqqKunfry9+fn706tGNvpkZTWN6Gd9rh3W1hsLyKpYufoiamhqOnTjDifNXSexwZwq3/wMP7EYmy9qI/UCbDQehpZoGQRAWAe+DS1duJQ4SYAe6ABdxNJQ4ItvuB6BUFMWFjX9nA6+Kovg3QRC0OIqe32kcq0XVo56ZmeLOPa3X8ZbQGkP2TpAKq9XKxs1buHHjJgGBASQmJBARHkZISAihISEuucby/TY3R6PRSM6NG6QkJ5OdncP56zfIz8vDbnc8fKGhYQwYNJDo6FsvrvaGGzdu8OXnn/HgQ4udXU+9oa0dotuC1oz94vN/5/z583z5+We898FHzJg167b22Vp8t24tL/z9b3y3fqOzJ8aF8+cZMrA/98ydy6uvOwJlVquVbVu3YLVamTR5yi0XxImiSFJCHCNHjWbbls3U1dURExvLqbPnCQsOPCaKYu87dWy9MnuK+3ft8DBOWvuM+PpwusNDsg9aVDoS/UPZvXMHpy9fQ6v2IzE2iqiwEEKDAwkNDsJfp3U9xz7kN+VGlVUTyOlzF+jaewC5eXlcuZrFjZs3abDZEEURvd6fzAGDad+hA3VW3+/K1sohgiMKUF1dxUfvvcPEKdNo7/ahbE6xqCV4IwnNnV9vEQV5etfWs1n84dsdFNUYmdSlA/91V5Mmvrzbsju8dd1278TsLY9ZQta16wwfPZYjB/YSHeUwPmtqasjo2x9DcDDHDu4HHM/G/oMHybp2nXtmz3L2s2ipCN+bAZg5fAJKPz8MBgO7du9Br9dz5MRJuqSl3tFnTPqWNfds+Jq3O3zK3fpSDpMVTvvCmfMX2b3/IEqlkvjYGGKDdYQaggkzBBMQFY+oD3H5dqnKsrGFJTX7zj9z5jTdU5KoqKwk69xJsq9cot5kQlTr8VOp6NlvEN07xDpTY715pb0pV3mV/W08PqvVyjtfrCW1W08GDHTVT2nL97655mLe5ieRhNYQBIBLWTk8v2gcUd0GYyrK5sn3vvdYV4oqNNeU0aBVeW1+5wvVNoFOKcl8u3YtKV0yAMfztPCeWezZuZ1j56+QGON4di+cP8+xA3uYOW0aYd6V1732lXC/x5c//CC7t29jxsyZvL3yLVQqFevXrWHsXZPuyDMmCMLjL7z21kuz7513u0Mxf84MdmzdHC2Konu2zP93aE3q0RocTSHkeB+4giPScBkoxNGC+ghAIxEYAjzrbUBRFE2NdQ6vAM1GFW4XrTFw7oRX3M/Pj8kTHaF5k8nEzZu5lJaXcePGTcrKKzBbzMhJmSAI2ATX068Sbc515AbPniMnaNcuifQuXRk9ZqzzZWoymTh39gx5uXksWnAfH3z0MUcOH+FXv/gZX69e02YVHlEUWfPtt9Sb6nnqmWdvy0vf2shFWyEf8/ixY6xbuwaAQUP+cd0dJ9w1kbfeeIO4qAhu5BcSFBTElSuXsdls6HRNRZR+fn6Mn3BXMyO1DoIg8Njjj3P44EGmzZjB3194CT+/O6/vLoe7t+1Ok0J5ylGLaDRuBGDYiJEMGzESm83GzYIiSsoqOJdXTvnZ69TV1yOKouPZUetp8HOQc0EQUFiaoq8iIFiMCAiIasc6Ry9kER8bS0pyMsOGDHae33pBzalTJ7l6I5cJwwfz57+/hFarY/6c6fzvC68wb6Fnh2z3RlXuv+3fu5sL587y4MOPeHUg3Al4kAQvcCcJ7nUJAIfOXeNUnuPvUWntaA28RRnc60PcGzO5I7lDe+6bew9JHTtxaO9uenTvRs6NG+Tl5dOhfXvneoIgMGjAAAYNcK3XuZUi/KcfXcLqHzaAUs3Na1eICA//Ud5hCkQXozJQrSRcZUVRX+nVI9/ieI0koWjN1+gjQwgcOKpJDamVvTLk6JbeiW7pnbDb7RQUFVN84xpXs29ypOosVWY7drUeK0rnN8rxzO0FwGQT0aoEj28dwNHDh4mPDCMlNpy+k8ai02qdhOVsdgH5hUXMXLiE+XNmMnr8RHr06cfjK57kud/+j8u58haFcceFy1dZt2Ezix5aQmCktwxoVzR3n/hKQ/RmDMsjCc2h1GhxphadOX4cm6mevCNbSBk/n4JKk7P5nRwSSfDVqbkleCM1v/3jXxg+ZDB/e/NdJk6bRV1tDdu3bCIqJhb/gEDnue6cnk7PTo0OjRa6MvsiCTWWBu5b9ACiXeTatSz2HzryD1Mr/P8dgiDcDYwCImnKPgNH6cLUlrZvkSiIolgJVLrttA4oF0XxbOPfLwK/EgThIg7i8GugFkeral/4GIek6gNAVkvz8IWWOtrKf/tHpclotVo6dkyhIynNzse5/i3m+B89coRJE5py80cNH8aW7TsYPmIEgYGeefDN4fy5c2zauIFJk6fQMTW1xfV/7HPp7Zq5n4/nfvELJ1FIS+5AZa1rl84fAxaLhV889yxnz57hF7/6tfM8T5k6jUceW06vXnfM8eiCZ5/7xzaUa21hfUv3qM8Pujdnqo8iV2/eT5WxkvYJcbRPiPO6bkt5xwpjpYd8ojtMCg2FBfkMH9zkRV+8YC47du9l3IQJRIWFOCMJzdUOSMjPy2PV6m/I6NWLBx9+xPNAuXPRhLZArm4kkQRjcQXA/2PvvOObrPY//j5JmqTpSncLFChl7y1D9hBBwS0KKoiIe8/rHf7Ue69evV5x74UIblSQqey9997Qlu6dNOv8/kiTJmnSlqWi5/169UXzPOc5z3lOEno+57sY2601L/3i3ie64ePZHH36dm9NCl9CuSAFZqWqb4G1l6e+yifTpjPxlptp0TwDjaWIjs0a8urzz1BQWFTrLq8vweYklEAdd+2VjLv2yur+Qlx/1ricJOjs5DnCvCJBd3QjtgPbiGzeEUeTbn7//4UMavZ53lOzvmbJ1KXERRsY8N9E9M07uk8EfKfq+sz7YtUYSI2II7VZa79jZ4tnTj3L6QrC6HpRtfjbsn0nX7XrynXXjyXOx6Id7Dvl67qrsRRR6NDwxXc/Eh8XyyOPP+lXeNRXYNSVkjqQUGKhviIhMItRVrGVrKKqug2NO6KPNGMrK+LAvGn0GTOOVHP1fPjGKHisB7WJBU8622DP5zve2d9/x7+f+TsDhl5C94vcFpeIyCg++voHZn0xA4tLYKB63mpzk/bgyWwVirbdevHvbr287+W5yE6kqB0hxIu4M5MuBjIJEhJQF+eqMvN/gHDcJak9BdeGB9RQ8ENK6RJCPA78dI7GUCen6z5Rn1zy58vFpj79XtyvH4ePn2Tm559TWFjA40/+Ba1WyzezfqjXPaWU/LJkKVt276Nt27Y88NDDZ12BOth9PJzJXNX2nrVv34Flq1bzwL33YDCEsIeeY176zwts376NLdt2YI71d7341/Mv/Cpj+LWoSyzUJyAzsG1Qv9kgWVxqZHAJUngpFLW5tITqPxDPeKPiUziYlc+Ps75lz/YtPPnUX4mJieGLr77xtg0WZOzLzu3bWLV8GSmpqdw65U7CwsJCZjM6F9THUhMqu5FHIHhIjY7k5/GX8v7mvczYeYgz+e+htjoNgWgsRcz6aT6vvv4mq5YtoWmTxn7Pc8fEYPk0zo5Qn7uzyUJXG8LlQGMpIrIqw4/u6EZOzfqaiux8EnJyiQKMTbp5xxDMKuQymb3nShd8yZKpS1mWVwF5FUS99C1dHwF950G1fo881BZLVFZVmbq+Ara2v4vez7m+5sL1aG4xixctYPGiBdxx7wOkNW5C74HBsw0FG8vRY8eYPWcuEZERXD/uZr+sSL7fr0CxcDoE2zX3UJdI8FgPPOIA4EShe2NLZwhn8DMzOLF2Hju+mIox2lzDqhDK5cgjFoIlSwglEAD27dnNA3fdzsxvf6T7Rb38LKC9Lh5Ar4sHeJ/L14pT2//jdYkEX0Jlv1KcF24GbpBSfn2mHZyRUJBSDgx4LYGnq35CXdM0yLG5uD0KfjVOxxRdHyvF+eB0+o6NjQ2aatOX9955m0cffgiAN6a+QkpKEsePu6s89+3Tm7uHnF7GoF87gLm2+ejYsRPNm7egY+fO530cJSUlvP/uu/zw0081RMKfjdMRCaGOBVKfRU1txz14M2yc4ec0cIFhMBiYcNM4ILTf66oVy7hutNvN7L6HH6PfwEHs27MbKSUtW7fhtjuDpxWGuoXGuf6+1VckAFRk59M4JpJG0RFc2aoJ2tNwRwysxFyXONNYipBS8vwrb/D835+gWVJ0UDeH2q6H0Lu/Qa8JEQRcX8vHGVFV0dtjLXDkZVORnU9ZVjGmlELC87LRJNVfpORtO8BJS/UitTSrzF14MEQBt9qEgbePgEJhwRZ2tcVSBLqeBi7Wfe/h4aJBw7lo0PDgD4nbItezgzvY99JRo3j8yb+wcf16tE4bDRo0YMrkSd5iiaGesa7g//oQ+P9DfURCVpHVKwyCYYgyE5XSlJi0FoQZqt0RU2OMQUWCh8Aq2h48C/tQ/6+899Yb3DzxNm+Wq9rwFQuAn2CorX19OJ0UsoozRgNsOZsOzpVF4TfjXO9S/xopPWvjTO8faifH6XSSkJhEWuPGFOQXcPDwYYYOGcSoSy+tbnQa8QS/ZZajUDRu3NibZeh8sHzZMl584Xl27thBQUE+LVvWPzPF+aKysjJoBeGzxVWl209ngeHL6VZtrq8LSeD9a7tPbb7GEKSIVS07hVD3bqqUkhiTkbbtO3Bw/35OHDtGbGwcN986uV4Wut/S/B5YbyIQU4rbdSWjcQrbi6oNxL6BzIFuR74CIVjtimDv7+49e3j66afZf/Awu/buo1P7ttX91VEvIJBg8Rl1BbUHO2fTR+IqPg/53bVa7xy4ws3omrYjoeNOTCmF7uxBTdvhqEpVafS1pIWwLKTfMYVhWf+B+YcB6DixF1HDr8NxGtaQYCIBau5U+y4CA4OLPX9XQ32H6gr29yy2PcIkcLFps1XSr/8ANmxYT1lZGbZKGxNunUSEqD0m4FyIAw91iYTaYgcaxbrj1zyCwfPacyw8IRVpc2cVSzUb6xQJHoJZE4I986ETmbz2n3+yY/NGdu/cwcuvv13jvfB9D3ypa/Ef+N76tq9NDEgpqbSe72pLf3reBcZTy0Z+XVwwQsHhOLe12YKJhd9CJJyur2R9qKioYO2a1ezftw+NRkP3nj3ZumMXJuw4nc4zrih9NiLhfM7tvHlzadu2HUsXL6Zps2aUlpbw9ZdfcmD/frZu3cKK1WuJiYk5o75/mjObh+6/j2f/9W/atm1HSkqKN7PKuaa0tJTCwkIaN27M4UOHEBqNXwpWg9PKzC+/4uPpM1m6ZPF5GQPU/G6cz/euvrumgWM4m0xl9an5UFfApN1uZ+uWzWzauBGANm3bsWTZcvR6fb2+Y6EqC59ralTy9Rwv8l8AB7Mm+LLi0Ekyi8tZnVtIw9hoIgtK+HLbQQ6fymfWqm2sfOlBWjRMqpkKNSDLTiiRMHzk5Tx+35387ZH7iYs106hBasiFvG98SUi3HN9MT5Hx3mtsNhtHjp+gZUYzsnPzyC8spm2LZojyAu9YF69ez+sfz2DB8tVYLOd+ESOF/2fDEd+UqD5DCM/LdosEnwxCVo3BW4QsFK6kDDr832NEpr6DKSWe5PFTcMQ3Ddn+bBNNBBZfq+9Os0csBAb7h9qNd7lcHNi3l7WrV+JwOGie3oSZX31NRESE/3fMdXprgzP5f+NsC6r54isQUs1GsoqsNIo1sWvTbiwlhZTsWUNc44YYwpvxw9cfc/TAXrasXMKtj/0ffS+5rF71EwLJzCvghlFDGT5qNP+c+hYRkZGkNXHHQQSbf99jdVV+DhQJUkoO7d9H04zmWC0VHDl0kJZt2hEXUe1KtW/Pbt589X8sW/yzN737ucLqcJ0TS4XDdcaZwn9zhBCv+rzUAOOEEMOAbYDdt+05qaPwe6GkpIS333yT1NRUBgwceE5cP3z97X5LS8Lp3NvhcLBz5w62bt6Mw+Hw7ljqpAPpcmEXOozh4fTseVGNrEezZ//EpCl3sn/ndqKjo8/pM9TG+Zzb8vJydmzfjslk4sX/vMCe3bvRaAQ3T5jIkKFDOXnyBE0appKSksLu/Qdr7PDa7XYKCwooLy/HbDaTn59PRGQEG9avp6Kiguf/9U/eeve9084g5WHP7t2cys6msLCQpUsWY3e4v6NajZbBQ4cxeswYtm7dwqqVK3nrjdfJysykS9eurF+3DoD+AwaS3rgR2dnZHD5yFKPRwF+ffIKpr73Om2+8zrtvv3V2ExhAbk4OM2d8Tv8BA2jQoO5sIR7O1Hxfn+vPx+enNouJlJKsIwfYsGE9FeXlaDQahBDopAOX04ld6AgLC6N9hw7cdvsUv+xghw4epF+fXsyZv4DOnUNXbQ8sYPVrUZ8Ca8FYuPcoQgheW7CWQ7mFFJZbuWlID/q0SSczv5hO9zwPwMlZb5Gc0cJ9UdXC226IojC/gEKbICbGSXFxCXp9GAcOHiIzM5NPPpvOQw/cx32Tq+MPatvtDzx/7GQWB44ep7zCwuJV6ygtL3efsFfSvX0rbr3yUo5l5/Dz5r18+MV3bNi2iw6tWrB9734A2jdvSr9uHTmWnUNWTj45BUU8/fDdvPp/T/C/T77klbc/OKM5C8Wp/AI+/ORT+vbuRcsWLdwZ8Jp0Qxd5JOgC3xMrkFCLS5UrKYP0O6ZAZLyf0KitwFxti99Qu8eBCzDf9vXJRuRrWcjOPMmKVaspKSxAVH2HhBAYtWDQCjQaDekZzbnt1ol+Wd4cDgdtWjTnmX/+kxturOkOeLpukXVRW8rnwEV2fTMS+cYfeH5fsH09dks5O+bOYEl2JplHDzH0sivo1rMPVFp459nH+c9Dk5k2bznNW7stbp5FfGSYhqKiQoqLioiPNlHkcOJwOCgsyGfL9l2sWrGMbhf14bGn/1lj7LWNNylCT5HVQXFhAdkH96B1OVi7eiVF+e6NBrsTUhs34caJk8ktqWDN0p9ZPPdHViyaR2qjxhQX5FNRUU5SSiqjRo8h88QJ8vPyOLB/H3ff/xAPPPoEC36awzN/e7LOOVOcFoHFr7ZU/ds64Hi91FCddRR+L3hyT+ecOsWypUspLQ3uauJJjyiEf4q2YITp9URFRRMVFUlYmJ6wsDDCwnS4XJLKykrsdhsVFRWUlZVR4fnjE4BGoyEhMZHExCQSEhKIi48nJibmnAUFWywWNm3cyJ7du5BSotVqad+hI506dz7tnW273c6hnVvp1DF4AbW6FmRna679NfDUmPBdvPXo0pn9+/d5syI5HA7WrF7Nli2b+dezzxAREYkpwkRuTg5JycmUFJfQomULtFodAwYO5LEnnqz1/XQ6naxft47du3ZSVFREfn4+2VlZZGVlcfjQQZq3aEm4KZz+AwZ6syRVWq18/NFH5OXmYDAaGTZsOMNHjODifv3ZtHEjBoOBLl278s3nn1JptdI4LY0GDRrQvl1btFqtd07NkaZznuP9hzlzWbNkEadycmqk8IXq75gHP7Ea8J3T6XRER0URFRmJ3mBArw9D6k1uk3OlDbvdhsVioaysjPKyMrQuv80O7/3j4uJJSk4mPj6e+Ph4Us0R56zInt1uZ/uOnazfthO73Y4QgubNW9CtRw8iIyOB+gfmSynZsWM7rVu3OScpbM/kOxe4mPTdXQ8VnwChrQqBbkZSSpwuFzqt1mtBeOyNz3j163mUb/wJg16PjIhj047dbDt0kqeeewGH00VUdBQFBYXExETjsDuIjY2lcVojkuJieOulf3n/PwsmEqSUbN+zn43bd5FfWEx+URFZp3IpKC5h7ebtdGjdAn1YGBf36EJKYjxUluN0Ovl20XK27jmIS0pGDu7PwN7duXbUcLbt3o+lspJeXTqwcMECDhzLpHnjBiTGmenSpjkGvd4bV6FPTj/ntUoWL5jHytVrOHjwIIER4g6hQ+eyQ1UK7Upn9XcqUuuqSu1b/RdeIwQRcUlER0VhMBrBEEFYmA4hBDabHWktw1ZZSWlZGaVlZTirYiR8v9tWh4uo6GiSklMwRMUSl5BAWnKi170xQWf3BqsGioVQlcR9cblcHNi/nxWr12KxVGB1uEhp0JAu3S8iNt7fNa0+/R3Yv5+k5GSio6NPy/oZWEujPvFOwcR8bRaRwIV3YDBzsNSn4B+PkBShx+Fw+LmXrl7yMw9NuI4vF6+jQxu3++uRQwc5vGsbU196gcyTJzHHmikvc29uGI0GXC4XHbt2w1Jh4d+vveuda1+R4MnIlGDSc+rkcXZtXENJQT4uSyl5OacoKylm05qVNGvZGlO4kY4dO5HR3L0ZYHE42bR2Db8smIt0ueh+8QA6de/FqGtu4FTWSayFOXTo0o3swwdYs3ol6c0yiI2Lo32HTkRVbVaW2py0SYk5Z3UU/j31ralXXH/j2XbF7Tdew/JfFqo6ClyAQuFcYrPZKC0pobSsDLvNhs1mw+6wo9VqMegN6PV6wk3hREVFEx4eHnSx6HQ6yc3NITc3l4K8fPLz8ykuLgKoURNBV1XMJzY2jtjYWCIiI9HpdFXixMWp7GxOnjxJbk6O9z9zY3g4Xbp0pXWbNudsYXSmu7fnymR7NmM4EzIzT9Krezc++Ww6fS/ux4hhQ7Db7bRq1ZqHHnn0jHM5FxUV8f677/D59M8wGsPp3qO7971NbdAAk8nE8EtGYDAEfx6Hw8HhQ4dolpER1FWlPnN0PoTCkuUrQ2a1OF0cDgf24nxKSksotbu/cza7DY1Ggz5Mj8FgwGA0EBUVTUREBKYqq6jvvaSUFBYUUJR9nLz8AvLy8igoLES6XO5FlpTef4VGQ1xsLLGxscSazURHRxMWpkOncy+ccnJyyMzMIjM7G4e9yrqj09GqQ2c6de4SdHH/W8QznakoDykSwJtT35GXHVQo1EawAmq+OKPj6HjFbdwzcRx33zKWiU88x6q1G+jSqT0Tb72NYUMGn9GYKyttfPLND3z4xSxy8vIZ0Ks7CXGxxMZE0yA5EVO4kWFdWhEbEzwdtD03iwMnsklv2w6jQV8zBW9AnQFfi4snvkKX3uXcCoXOHeWaBT+ErGTumxLVVRWr4OveE/jZcLlclJaWUlJaSolNev+OuVwuDHoDBoOBqDCIjooiMjKyug6Pz+e3tNJJaWkJuadOcTw7h8KCfCzFhbhcTgxaQVhliVt46KOodErCTFGkJiYQYzaTmhBLmF6PTqdFq9FSWFhIZuZJMjMzsVrcPvdCCDKat6BNp26YIiKCuobURyBA8MJr9SWwQBvUbl0MZfGrK86iNrEQjECREAwpJY9MupHGaWk8+cy/mfb+23z45qv06NWLocMvZfKkmjVdPAQKPN+CcLnllRxY/TPzv5zGwV3b6NirHw1TU0mMjyMxORmhN9G+aw9SG6UB/vELnufNOnGc6JgYIqKqPRU87WqLbfCMSQmF3zcXjOvR+UCv1xOfkEB8QsIZ96HVaklJSa1XdWSbzUZRYSFFRUWUF5yiIMtdAbbC5baApKSk0K17dxITk844jqA+1ObffS7dsE7HveR80qBBQ955/wPumnI7WVlZAOQXl57RHEsp2bd3L5W2SsZeczUDBg3mnfc+oHuPHqdtRdLpdCFrVvyWQeO1fTY81PczotPp0MUnEx6fTH1KSVmp2a8QggaxkTSIbVP7tRoDDocDa2EORYVFFBYVcejwYZwOBw6nA5dLkpiQQNu2bRgyeBBOQ2St/dWnUGMot4Tfoh7C+SCUQAhMeaqLjOeLt19m4kN/48FnXgTgyP493qrKof4vCCUSjpzIxGazc/ODfyE2JoZ/PHgHw/v1rvmdraWgmCMvGyEELdJS0Rn0/u2D1Ow4U7esMyVQDPge98RUaCxF7oBmvc/CVe/vVqTRaIiJicEQm4Tn3Qr8HIbKROYRIUIIGiTE0iAhlowWLf1cipLsuWhy3KWOXEkZlIUnkpnndnOxlxdz/Ngx7A47DocDjd1KRFwSTZum06t3nxoFBc/UIuF7ve/voQKVT+dvWLAq9L73CnTHqs3/3WzUBfX594iAYGLBIxLqij0QQvDC1Dd49K7b6JKegsvl4otZs+nbf2C95sETG+IRCUX5eZSVFPHpay+Rc+QAV956F09O/YC0BHNQMZBTbvO6IgU+p0dE+M6D557g/97Wt4K94vfDn1oo/Nro9XqSkpNJSk7G6GoK/PZZloJxLsTC70UkeOjdpy9FRUXe16UlJacV5+J0Opk+7VPefvNNiouLcDqd3P/gw3Wmpv0jUt/PRn18lqH2HfvT/dzodDoS4uNJiK+5EAzkj/ZnqlZrQmBbcxKuopyQhdIC20KQeggBi+0O3Xqi9XGH3LV7D+bUxkH7DPXezvllOS+98zF7Dh5GHxbGqMH9eOO5p2qK8DOoOHxOrz+HeMVAPfBLeakPnmUo2C54fZJ3hNo9d4Wb3aVcq95vjUaD2RyL2Rx7RoLYs2CtLdVqMALHF+qaM7FiB14bbDHrGXNtldc91DtWIYRI8Cy0awQVG5No1LgJa5YvBWD/7h1cMrTaWhf4jJ7Ph28g+c6tm3n1v/9h45qVRERG0aBpBv+ZMRt9PWoR+YoFz+vA5/bg+/4aXZXo8t0xOJ7aHIoLByUUfiN+jwLBl3NpWfitRQLA9M+mcenIUXz4yac8/MD9XDnmcl557XU6duzEqVPZHD92nKTkZLZt3cKJ4yf8BMDRo0d57OEHKSoq4t//eZF+/fufMzewYNQ1X+f7s3Ou0gefjUio61yo9vUZ37lK81pXGsgz4VzEJEAQkXAGC+OQFgQfgeCbdnTJ8lVYbQ4sxQW89dE0br/7Xqa+9joDBw2mtKSEw4cPERERSWFhIbN//IEXn/1HdUXdomL+8fxLLFqygucevovRwwai14dYUNTzWU6n0JsjL9vb3vt7iErh5wNf64Lv7nagtQGqP2O+1oVQn7naCoz57u77LuoCF8FWjQFTUgYAFRHJ3uvqG8Dsez8P50sk1JfaMp+Fmsv61AbwXdjXJRYCRUKwNKeBx3Kys1gw+3t2HDrOod07uPXm8STGRDL22mtwOp1sO3gQKcFoNPDWO+/x7NN/JyrK/R7qcTD11dd5+/WpTLz/Uf7+8puUC//PhGcsHquB9771ED2hxhyp16DLPYLjyE50ZflEpvcJ+Vn4IyOEMAAvATfgLlD8M3CXlPJEHddFA88B1wDxwHHgL1LKL8/viKtRQuFPSn12awPTtp7JDu/ZZsM5FzidTt55600+/PgTAF763yt88N67jL9hLHm5uRjDw0lJTqGgIB+tVktmZibfffs1RmM4RqOBdevWcdvk23n08SdCxhucLgf27+fnRYuIio6ia9dutGzVql7i40LJzlUfzoeAPB2Rdb7S/da1iAkV/1Hf8dRVTKyujEH1ukcwK0IIgeBZaL36wTTuvOdeKrVGbr1tMg0aNuRvTz3FoYMH0Ol0NGyURnFxMQaDgaNHDrP4l5+JjYkmJjqa1WvWMHrEMJbN+YaE+LjQz1APkeBZ6OfkF/L1gmUY9GF0ap1Bp5YZhIXV/JMX6HLk+8zntfCaDzVqRYSwMHg/I3pDtVg4TYK5/9S2Q15mc0FEcshrz4TTWeifC5EQtCJ8iBgRD7U9Z32sClC7WPCtkRBMJATj84/f58prr6dRUjzNE3ox54tPeORvz3Dfgw+j1WppnJaGtaIcp8vF8ZOZzJs3jwaNGhEfF8fmrdto264d38yeR3LT5kDo1LTByKuwkWDSe60KOeU2Ki0VLJ3zHS6Xk/Zt2pDWswe+y8pIvYbI3L3YtiymcMc+Ytu3xJSUQVmY25IZpdeSoLOHuOMfjleAMbiFQj7wMjBbCNFNShn0wySECAMWAIXAdcAJoBHwq+6+XjDBzEKIDb/1GIAEIO+3HsTvADUPbn4P85AnpRxxrjpT37PfDWoO3Pwe5kF9x/64qHn4fczBOfmO/V6DmYUQMUAuMFFKOb3qWBpwFLhUSjk/xHW3A08AraWU9TfrnGMuGIvCucw6caYIITb8HsbxW6Pmwc0fcR5+D8/zR5zX00XNgZs/4jz8Hp7njzivZ4KaBzUHvxLdAI91AAAp5XEhxG6gDxBUKABXACuB14QQY4AC4Evgn1LKX80Uc8EIBYVCoVAoFAqFIhTldudpuVSFoqoy83ghxA0+h9+VUr57Bt2l4M6fEWi5OVV1LhTNgMHA58AooCnwBhAJPHIG4zgjlFBQKBQKhUKhUCj8+UxK+d9QJ4UQzwFP1dHHoFrO+dZODIYGyAEmV8UxbBRCxAP/E0I8Kn+l2AElFE6PM1GSf0TUPLhR83B+UPOq5sCDmofzg5pXN2oe1BycDa8An9XR5hjQC9DijgfxrXKZBCyr5doswB4Q7LwbMAXp67yhhMJpcIYmpz8cah7cqHk4P6h5VXPgQc3D+UHNqxs1D2oOzgYpZR71CAQXQmwE7MAw3G5ECCEaAW2AVbVcuhK4UQihkVJ60n+1BCrqc99zxflLBq9QKBQKhUKhUPyJkVIWAx8ALwohhgohugDTgG3AIk87IcTPQoh/+1z6FhAHTBVCtBJCXAL8H/Dmr+V2BMqioFAoFAqFQqFQnE8eBBzAF1QXXLs5wK0oA3dBNcCbGWk47poLW4Bs4EPcBdh+NZRQUCgUCoVCoVAozhNSSitwb9VPqDZNgxxbgzuF6m+Gcj1SKBTnFSHEX4QQUgjxus8xIYR4WgiRKYSwCCGWCCHa+ZyfKYRYGNBPv6p+Xgs4PlkIUSmECD//T3N6CCGeFEKsF0KUCCFyhRA/CiHaB7T5U8yF4vzyZ/2eqe+YQnF+UUJBoVCcN4QQvYDJuH0xfXkMeBj37koP3CngFgohoqrO/wL0FULofa4ZiDuDRGC6uYHAGiml5ZwO/twwEHgT947QYNym50VCiDifNn+WuaiBEOLjqsVY4M8anzYXCSF+EEIUVC3Q9ggh/iGEMP6WY/898Sf/ng1EfcdCor5jirNFCQWFQnFeEO6y9dOBSUChz3EBPAA8L6X8Rkq5A7gFiAJurGq2GLcf50U+XQ4CXgJaCCGSfI4PxP2H/neHlPISKeVHUsodUsrtwE1AItAX/lxzUQuLgNSAn5EAQojRwHIgHxiKO+PH/wG3AwsCFnZ/Sv7s3zP1HasX6jumOGOUUFAoFOeLd4GvpZSBf1TTcVej9C1nb8GdT7pP1ev9wEmqdvOEEAagN/ATsAH3H2uEEK2ABrj/0F8IROH+f9ezoPszz4WHSilldsBPgRDChDtTyE9SyolSyk1SyqNSyhnA5cDFwP2/6ch/H6jvmT/qO1aTP813rLTSSU657ax/bE5X3Tf7k6CEgkKhOOcIISYDzYG/BTntKVl/KuB4YDn7xVSb/XsDeVLKg8BSn+ODcOeUXsOFwVTc2StWV73+M89FXVyCu6jQfwJPSCk34c4acmPguT8T6nsWFPUdqz/qO6aoEyUUFArFOaVq1+1fwDgppa2WpoF5oAPL2S8Gelf5yQ4CllQdX4L/H+6Vddznd4EQ4mXcO3RXB6TEgz/ZXAQwQghRFvDzAm4XCHBXIg3GLqDVrzPE3x/qe1YT9R0LifqOKc4YJRQUCsW5pjfuXaodQgiHEMIBDADuqvo9v6pdSsB1Sfjv+v0CGIBeuE3/S6qOrwSaCSEaVPX7u3cDEEL8D7gBGCylPORzKrvq3z/NXARhGdA54OfFelwngAttwXYuUd8zH9R3rFbUd0xxxiihoFAozjWzgA74/1HaAMys+n0f7j/ewzwXVO3i9cOnnL2U8ghwBHfQ3UVU/eGWUpYDG4G7gGR+54GFQoipuM33g6WUewJOH+ZPNBchqJBSHgj4ycP9OQFoG+K6Nj5t/ozMQn3PAPUdqwfqO6Y4Y1TBNYVCcU6RUhYBRb7HhBDlQEFVxhGEEK8ATwkh9uD+Q/RXoAz4PKC7xcAdQG6Vv7CHpcB9QCnuP+K/S4QQb+DOwnIFUCiE8Oxqlkkpy6SU8s8yF2fAfCAPeBT3rq4XIURXYAhwz28wrt8F6nvmRn3Hzgr1HVPUibIoKBSK34L/4C5L/wbuXdBUYLiUsjSg3WLcWUyWBBxfUnV8mZTScV5HenbchXucPwNZPj+P+LT5s8xFKAxCiJSAn0QpZQXulJ8jhRAfCiG6CCEaCyHGAj8A84B3ftOR//75M3y21HesbtR3THHGCCkD43sUCoVCoTj/CCE+xp3TPpCTUspGVW16AU/hDlI1V51/FXj4Al20KRS/Gn+m75gQ4r77/zl16uArrjvrvp65Yxwbl/+SIqUMzJb1p0NZFBQKhULxmyClnCClFEF+Gvm0WSOlvFxKGYvbXfZL4Bqg6W80bIXigkF9xxRnixIKCoVCobggqEp5eSPwX6D/bzwcheIPh/qOKQJRwcwKhUKhuGCoWsi8/FuPQ6H4o3Ihf8dKbQ7yKs4+o6uqzFyNsigoFAqFQqFQKBSKGiihoFAoFAqFQqFQKGqghIJCoVAoFAqFQqGogRIKCoVCoVAoFAqFogZKKCgUCoVCoVAoFIoaKKGgUCgUCoVCoVCcJ4QQtwshFgshioQQUgjRtB7XTBZCLBdCFFRdt1gIcfGvMFw/lFBQKBQKhUKhUCjOHyZgAfD0aVwzEPgCGAJcBOwF5gshWpzrwdWGqqOgUCgUCoVCoVCcJ6SUrwAIIbqfxjXjfF8LIe4ErgBGAPvP4fBqRQkFhUKhUCgUCsUFT5HFTlax9az7qXS4AMYLIW7wOfyulPLds+78zNEDRqDw17ypcj36AyCEmFDl8+b5sQohMoUQ84UQ9wkhokK07xWiv1uqzh84jXtKIURulT/d1ef6GRUKhUKhUCh+RT6TUnb3+fktRQLAc0AZ8MOveVMlFP5YPA3cBNwJvFZ17BVguxCi42n0Mx44AmQIIXrX8543A88DUcDXASpcoVAoFAqF4g+DEOK5IBumgT8Dz9G97gemAFdJKUvORZ/1Rbke/bGYL6Vc4/P630KIwcBs4AchRBsppaW2DoQQqcBg3Av/f+IWDavre08hxLtANnADMOPMHkOhUCgUCoXid80rwGd1tDl2tjepEgnPAZdKKdedbX+nixIKf3CklL8IIZ4F/oV70f9eHZfcCFiB74EOwG1CiAeklPZ63q9UCFEO1Ku9QqFQKBQKxYWGlDIPyDuf9xBCPAQ8A4yUUq44n/cKhXI9+nMwrerf4fVoexMwW0pZBnwOxOOOsA9FjBAioeqnrRDiVSAB+PSsRqxQKBQKhULxB0AIkSKE6Ay0rDrUVgjRWQgR59PmZyHEv31eP4rbpftWYF9VHylCiJhfc+xKKPwJkFKeAIqBjNraCSHaAZ2AmVXXbQN24rZEhGIekFv1sxO4A7hDSvn92Y9coVAoFAqF4oLnDmAzML3q9Zyq16N92mQAqT6v7wbCcNdSyPL5mXq+B+uLcj3681CGO9C4Nm4CSoCffI7NAP4qhIgOEUBzH7C76vdk3K5Lbwoh8qWU35zlmBUKhUKhUCguaKSUT1NHsTUpZdPaXv9WKKHw5yESyAl1UgghcC/ylwCp7peAO5DZCFwNfBTk0vUBwcwzgI3A60KIH6WUtnMyeoVCoVAoFArFr4pyPfoTIIRoBMQAIesi4C4VnobbDHbY5+fnqvO1uR95kVK6cIuNFCBkmXEhhLY+/SkUCoVCoVAofhuUReHPwU1V/y6opc14oACYFOTcEOAuIURDKeXJetwvrOrfSM8BIcTduIOpK4BRwGQhRDJuH7wkYD5wq5Syoqp9S9y1IHrgFrTfSSkn1uPeCoVCoVAo/oQUV9jJKjr7ysxWu+scjOaPgbIo/MGpqqPwN9zWgaD5foUQRuAa4Ccp5azAH+Bl3J+VG+txvzBgGGCjOnYBoCPQD/gAMOMOmr4WGAo0BKKBe33aT8Md9BMPNALeqt8TKxQKhUKhUCjOBcqi8MfiEiFEc9zvazLuwmnDgKPAaCllKJk9GvdCPWhZcCnlYSGEJ/vRiyHuCW7LwFjc6b+eDwh+7gj8U0q5SAiRgjsIunVVRiaEENOAq3zaZ+C2TGirUrX+6kVGFAqFQqFQKP7MKKHwx+Lpqn9tuN2ItgMPAB9JKUtruW581TXzamnzI/CEEKJjVdrUwHuCu1DbHuBO4B3PwapA6XbAuKpDg3EHSO/wCZrWAF/59DUO+Avwr6oA6SdqEToKhUKhUCgUinOMEgp/AKSUHwMfn2l7KeXokI2r2zwJPHmG90wHHFLKQ1WvY4EZUsqbQl0gpZwPzBdCNASWAsuAb+t5P4VCoVAoFArFWaJiFBS/Bh2BrT6vNwPDhBDtAYQQsUKIkZ6TQogrhRDNql7GAibcxdwUCoVCoVAoFL8SSigofg06AFs8L6SUq4D/AD8JIcqATbizG3noD6ysOjcTuFdKuffXG65CoVAoFAqFQrkeKc47Uspngxx7GXc2pWDtHwQePN/jUigUCoVCoVCERlkUFAqFQqFQKBQKRQ0uGIvCJRf3kPmFJaDVYrFWUlxaRpw5Bn1Y9SNITfXvTqeTouISnE4n4UYjUZERUJ1hp94Il8OvX+Fy+J33PRcUKckvLEIjBOaYaISmftos8D4erJU2SktLkU4nhrAwoiPCEbqq+mZabfAxadzHnQ4nmdlZREVG4nK5KC0tpaCwCClljfvExcWRnJKCwWCodZwaqq51OWtpVDUuKbHZbJSXV+B0uttHRJgwhZtAOr3PHXRONUEKObuqr/FS1a9nLjwE9hnyPj73ciFwVT2exuej433mgHGEHGdA26KiYnQ6HZGREX7jqRNnzTneuGvffCnliLovVigUCoVCoTg9LhihkF9Ywtov3nS/iIzH4XDw2XdzCDcauO6yS/Ck2XSZzABoKoq8r3fs3suyVWsA6NiuDb17dEOrrWNB59NHbXjuVxeHjhxj2ao12B3VC0KdVktSYgINUpIxmcLZuWcfuXn5AGgd1ZlABdWr1EYNkhnSqTma4nxcRTlozEnoElLcJyPjAThSUE5hcTHJiYm4XC6MsSnExESzcNHPgFtEHTp8hJhwHfGxZrbsPcyxY8fYe+AQJ06eICszk+YtW/HxzK+Jjo7xe45IfU2hY3RVorG450pKyancPPYfPMShI8ewymqRoNFqadyoET179MBs9u/Xc72moqjGnLrC/V/7tvdc46Us328uvH3U8j7ZwiI5evQY+/bv50RmJgaDgYHDR2KKTQz63EZXZcixBBtrsLEvXLKM3XsP0Kl9W/r3uQitpbj2izzPFYCuw9CEOm+oUCgUCsWfgILySk4UVpx1P1Z7LZuffzJEsN3k3yPd27WSXqEA3oXgwaPHmTV/Mb27daRPt841rvNdIEop2bZrN2vWb0JKiU6rpU2rFnRu346ICFONa+sSCvUVCYH9ea5zOBycys0jK/sUpWXltGvdkqTEhKDX1MB34eizKHaZzLS5aCAHjxytcUmXzp156LHH6dGzJykpqRQVFVFWVkbDhg29QuuNt97mqUcfAmDMVdfw+nsfIYSg1Ob+0kTptd5Fc2VlJRs3bGDf3j1oHJVoHFaEECQ1akqL5hk0bdIEo9FYYxxWjaHGYtv7vJaiOoVBKELNVaj3afvhTJYuW4FGI2jRogUtmmfQqGFDysvLmb1oKcezsklMTGLUmCuJNtbU1L7PEGrctY7XUsTWnbtYsXodRoOBYRd1ommjBqEvCCIWdB2GbpRSdj+tGysUCoVC8QdDCHFfl4l/ndq4z6iz7mv11IfI2bE6RUp56hwM7YLmwhUK4LdAXrlhC2s2bWN4/960b9Ucn0Je3oWiK9zst+B0OBzs3neALTt2YrFY/a4RtgrCDQZaN29Gtw5t0ARxGXKZzBSXlLDvwCEiIyNpmZEe1FJRm+A4XbERrM/D+WUUl5Si1+tJjI9Dp9WyatterFYre/bt44uvvmbX7j089+/nWfzzIjZs2EjT9HSef/lVOnTq7Nfvd19/yWMP3MPML79m/A1jWbB8NZhTyCm3kRShx1layJKF88BRSVS4ge49etKqdWt0Ol3Ixb8vVk1oV6barq9NKHgE4Ctvvc/ufQeY/f4rJCXEec/7znFRcQk/zFtIidVJ69atGNi/n9976zu+MpuL48eO8v03X3HpZaPp1K71aY25Pniey2Kx8svylRw9fgIhBIP796VNg/jgF/kIBiUUFAqFQqFQQuF8cWELBfATC1JKFq9ez869B4gwhXPliCHExkTjMpm9u7312ZkGEOWFWCsr2b7nAKs3baVRShJXXTqU45nZLF2zgVIHCCGIiY6mZUY6ZeXl7D1wiIoKCwMu7k2ndm0QQpyxVSJQ1NSGPjnd+7tGo8HlcrmfoUr4mEwmoqKiEEKwe/9BnE4nb7z1Np9/+jHTf1yIKcLtKx+l1zLnh1lYKiqYcPN4unfpzOMvvEplXBorflmE1lJMckI8l48eTUpstJ91IRS+C2nPIrzM5qrzOt/ra5uHldv2MmhYtYt+k7SGrF04m7hYs/eYzWZjweJlHD1+gqj4FC4fdSmG2KQ6711mc8+jlJK5s38gOyuTq6+/gYaJ1SLkbIUC1PxMulwuFixexq69+xg2sD+dmqaEvFaX3kUJBYVCoVD86VFC4fxw4QsFDwE+6SWlZcxa8AulZRXEJKYwfNQY4uJigfqLBQ+aiiL2HTrK/KUradqiFf37XERUZGTQtlJKVq5dz7aduwHolJFGi/TGJMXH1bBK1GVNqE3cOJ1OJj/yNz77fIbf8SaNG1NcUkxFhQWTycRVV19D9qls1q1ZS15eLpbMA2i1WqSUTHnsHyxfsZJBI0fTqm17hBA8cuckAG68eQLfff0l7br3JqbjINI69aJ5ehqpMUYSTHqSIvSYjTqi9MFjPeorBHzxLMwD+wglFlzhZvLzC5j55VdcfdUVpCQnA+75Ki4pYfX6TRw8fAS9Xs+wgf1p3Ko9ULtVI3Asvi5XFouFr2Z8Rlx8AqNGX0GUQesdXzA896lLTIT6PEopWbB4Gbu3b+W2sVcRHVXzM6eEgkKhUCgUSiicLy4YodCkYap8YtJYACSS60cMwhzts3CqEgouk9lvF99lMpNfUMi8FespLi5Go9HQpVUzunXugE53fmO5pZTs2ryBQ8dOkJNXgEu6vBmG0lu2pm2rliQnJqC3lfld5ysgAi0LnmDfouISmne7mJLSUtKbNkUIQWFhIYVFRX59paSkogvTkXPqFE6nk5hIE4mxZpo3aUjrVq3Izslj84FjHD16BJfTiUajITw8nB49exEWHkH7kdezLC+GipJK0pqYaRRromsTM3FGHdqKQsrzsikrKcZpraCivBy73Y6U1Qt+rVZHZLgefZgeU1WGI1NEBFFRUURFRxEVFU1kZCQajaaGUAC3WKhrIW6xWDi4Ywu79uzBarEg7BaiIiPp3aMbTRs3QgjhFV21iQTf+3sEQjCOHDrIsvmzGT1qJG3atq0xPl/LSV3P4CGUWNBUFGGxWnn382/o2bk9vbt28juvhIJCoVAoFEoonC8uGKHQvWNbufaHz6Esn0qbjVc+/Ybxlw8jWevOIqRLSIHIeL9Ftm8GHc9C0eVysWXrNrasW4WjKnXqmJGXYI6JPi/jDuZ65AyP4dDRY+zeu5/ck8dwOJ1Iq1ssaMKjCNPpSE1OpGF6C9IapnrTmcrSAmx2O6Xl5RSXllHi0FBps2G3O7A77CxdsYb/vPYWAN26dGbcpDvQaLW0a9WCHulJGIuOk7NtLTlFpWw4Uci6XQfZfeIUuWWVHDh40G+Mn3wzm5bdevPZhhMsXHKIvIM7SWoUS1jpQeKiwmmSEEmjBqm0ataUyOhoUuPMmCIiCNPrEUIghEBKiUkLdrudMGnHarVQUV6Bo6yQ0rIySopLyCuzUFFejpQSq0OCN/WoACQGrdt9SueygxA4hM7btweD0UibNm3o3CqD8PBw9zwGyURUH5FQanNSZA2dqtRcFdQspWTt4gVkHjvMqMsup3XjVO89glkjfK0jwQgmFAI/OwuXr+HI8ZNMGnul1zqlhIJCoVAoFL9voSCEuB24AegCxADpUsoj9bjufuBOoAmQD3wPPC6lLKv1wnPIBZMe1UtkPIayfB699Xpe+GAmd98whujIiBoiAYK79mg0Grp26UzXLp3RWIooKS1l1pz5lJSWMmbkJaQ1rCXrzBkQzMIhgIymTWiRFAN0x3FkJ3aHg7AqC4fN7iAzv5Csw7vYsXkj5RUWNPYKNEIQptMRHWkiOjICk72CmLAwdFoN2opi2nZJZuL0l0mNN2PQh5HXtBcb9x5l5559bNi8hUiNE1FmQaPR44xKJKtiD6u37vKOLa1FWyY+/BcG9+pOXISRnTs3Y92xDefJo7hy88h3pNGo5xDMTeOIijVhMhtxxBjRmfSICD0WwODjXiWEwOKCqPBwIJxIUzQpKe7d9WCL9mAWBajpxlSbi1JtBDvvGUek3m3R8HWlqk0wRBt0DBsxknCtZO5Pc1j44ywy2rZn4KDBfu18+6jNHStYTErgZ2dYv16cyDrFC299xH0TbyTCFB6yP4VCoVAoFL8bTMAC3Av9/9XnAiHEjcB/gNuA5UAz4APACEw6P8MMMo4LzqLgg7Wykpdee5vH77+LsLCwWn3+XeHmoD7jnsWZw+Hg+7kLOHEyi1tuuNZrYagr5eXpxjt4r6soorzCwqwZn5GblYnWasUlpV/mpbjkBJo2y0Afl0j2kcPkFJZgKy30trGXlGIvdecLriyuFpeeHfeWg/uRMewaYtJa4gwzknMqm+f//iR5+QWsX7EEgD4X9ye9a29KNSZiwsNoEGXEpNeSHB9HerMMwhIbsSrTwrdLDpFzJBsAk9lMUuMYOjWLJ9XsTn8aGLvgIVgMQ7AFcyiREOwa37b1qW9Qn7SlgdmOanM98jxT4L237D3EsqVL0Ol0dOvdj6QmGX7XJOjsdY6jPp+n8vIKXn/zLW6++nKa9L5EWRQUCoVC8afn92xR8CCE6A6spx4WBSHE60AHKeUAn2P/B1wtpWx/LsdVGxeeRcEHo8HAnZNu4bWPZ3D/ffcSqu5y4ELRN4+/ZydXp9Nx9eUjsdls/Pe9adw8fhypKaGzzfj2HWxBWtuCr+zUCWb8MBdNUQ6XtkujwmXhhzU7yIiNokNSHNqqMsCO8DCKbWW4skrpkBRJYvNkZGEhFTmFVGTngzmKkgonmSdLOJFZToXLRaXLRX55JZW4gOXkFpVgadieuQsXsXj+XADSht3C3e98z7C+PRBCsD2rBIAOqdEkRehJizZ4d9iPl1TSITUMBjbj2yVw6lAmp7avwJqTStF+SbjOQZI5kuT4GIwRkVzUrgUt0lKJDQ8L/fwBC/3aLAmB5+orEqB+74enjed6q8bg12+gYAglEgBat2lD6zZtsNvtrFyxnOVLF2N1SEZeOoLUFs2gdi1UbyIiTDz68IO8/dG0c9OhQqFQKBSK3xsrgJuEEL2klGuEEI2B0cBPv+YgLkiLQqDl4PDR43zx3Q9MvPE6kpMSa1x7uoWwnE4nb7/7Phf37UOnjh2CtrFYLOQXFFBcXExpbiYmk4kmLdsRE1NdcdgrIFwuTmRmsf/gYXbt3U+MQcOVlwwmRmNjxU8/snjJOq5olMzholK25xS6qxgLQVyTVJplNMZhjOTYqXxcFSU4St2WA1tpBbbiMuwlVgwVLgylDiKEhgqXi0Kng1yHDW16NAcMEazauof2HTtx9b1/YcYOiDCbGNG1Ie1Toog3uNOpSimJChPEhbmotFVitVZSkJ9Hbm4uB45nc7yglDKbg+2ZpZQ5IolMiKdDq8bowyOIN2mI0TmwlJcRaS2ksqQQcPvxG7SC1AYNade+I6lVhd1Kbc6Q2ZI8hLIghGpzJsHCoT4XdWVFqm9KVKvGgMvl4vPpn9GqaSP69e172mOsC31yurIoKBQKheJPjxDivhbXPT41ufslZ93Xzg+eoHDvukdwxxV4eFdK+e7Z9Hs6FoWq9nfjdlUSuDf3pwG3yF9x8X7hCIV2reTaOV8AwWMPHA4HH33+JanJSYwaPsS/4NppCgUPX33zLYWFhQiP373PXBmN4STExxFjjsGsF5SXV3AoO5+SEvfuPEKgsVu8i/6GDVLJSG9Ci2bpCCFwFucybcYXJBs09I/VUZHjXlz/deFatBrBY+MuI6lxU05qY5HhUaQmJ6PValmx9Bec5UWInOPs3XeYPYcz2Xn8FMdLyskvtxKu09LAFE5aZDgt2zalw+ARdL7kKo5lZnP44EFOFZeDEJjCNISHaTEZwtBqtQgh0Gq1GPQG9AY9RqORuPh4EhMTSUhIpMCuocjqIKfcxvasEq+rEUBShN47Lx63I48QKKl0cCorkyN7dnD42HFvu4ZpTejdsztx8f6VqOH0XJNORyycK05nQe/57C2YPYuy8nKuGT3qjCtPB0MJBYVCoVAozotQqNX1SAjxHPBUHV0NklIu8bnmdFyPBgBfAH8F1gLNganAx1LKv9fnOc4Ffxih4GHH7r3M+3kxQ/pfTJeO7U9bJPi6JdWXUL7wvos/KSV79h9k9boN2Ox2wnQ6Rl3cjQYRWmwHtlGZk0tYQjyRVz8CQFSEifSmTejUuQvTprstKTqdjoaNm2DS63DaKkkyR5IYGU5KlIGEMC3RUhJh0OMoLkcjIL5XDzSJjXDENyElLZ32rVsQE1Y9rsCsOoEZooLNjcd/vy6LgIdgvv5SSjKPH+PAji2UFxd4RV1a48Z06dKVhMSaVqHaYhhCBTP7Wgbq+57WtmCvq3heKDzzunnbDjZt3c6km9wbFPUtqldbOyUUFAqFQqH4TYRCAlBzt9OfY1LKCp9rTkcoLAc2SCkf9Dk2HngfiJRShs64cg65oGMUoHrx5lmMtW/TivZtWjF/1Sb+98F0xt0wloT4+JrXWYr8FsS+i8r6igVRUcj2XXtYuXY9Op0OjRA0btGGJmlpREZFEq114HA4+WHuAopLSmmf3oCbRg0mrKoqsKaiCMrysRii+ff8OSza7k5R+uCdk7nq2uv5Zc0mduzcyZXjJtBp4AhsCemYoswMaZ5Am4RwbyEyTz+OvGxcRTlU5uQCEN6yHbqm7XDEN/V7bu+Ctyzf/W9VDQpPOtnAufElUq8Jmb0n2GI+Sq+tIRaEELRu3ozWzZt5+5JScuzYMVYsX86pU6cIDzcyeOgwGjVqVMe7UI3v+xboPhTMnaje4uEMBULg9V06tqe4pJTN23bQpWP94pC8aX1Ps7K4QqFQKBSK84eUMg/IO4+3MAGBu61OCBmSe164cISCtnoHuz4Lt2FDBjOg38VMn/kF+rAwxl53LVqfPgIXwqdjRSgoKOT7r2diraykQ7NG3HHtKLRaLXZDFIdySjh67Bjl5eVUFOYipWT0pcOJC3O5F+b2UqjQe4XNwgU/M+HZ12kQE8FNw3sz6/lHaNS1Ly6TmR7du5HnCPPm9s8pt5FXYfPLKgTu7E9HDh2jOOsEAM4SCxqNIKKgAr3zCOJUEZUaI1ZrJbaSPMrKyyktK6esrJxKm63G87nCAtJuSumtYQDumIu4uHi6tG1B84wMHPqIGn14BIBvylHfugIefMVFfGoaQy9LI1KvwWKx8MvPi5j30xwqnZKGjdLo1ediIqOigt7Hbz4CRIHve1uXIAy2IPe8V/UWDAECzIOmooh+vXvywWczvUKhvlYFb8YuJRgUCoVCobigEEKkAClAy6pDbYUQZtwWh4KqNj8D66SUT1a1+RF4SAixgWrXo2eB2b+WNQEuJKFQB77F1Tzo9Xom3nwTJzMzefV/L3HxRT3p0W+QX5uFP//Clq1badWyJZePGukX2xDIgQMHmT/nB8zmaG68dGCNPPZarZaMZulkNEuvHlfAjj+4J724uISPp8/g2Tc/YVK/zjzcpyMRyXEYNDYoy8ez/E0INwPVGYSSIvQcPXyQBRtWgc2C1llJeGUxjSLDiAoPRwjQxMTjkpKyCiuVtjwcWdnoo+PQRycQEZ9CUuNIoqIiiYqMxGAweMcJtcdz+KUQzc1k567drF76C3aNHrvQYYiMpsdFvWnYKM3bLphgqIsymwu0BgYMr05xduL4MebN+ZGyslI0Gg3dL+pNm7btah1jMPEXWMMhlKWhNsEAZ25lCKssxen03yCor1iAanFzpnE3CoVCoVAofnXuAP7h83pO1b8TgY+rfs8Ajvu0eQ53FdpngUa4rRc/UndcxDnlwolRCFJHIRDfhVyw1Ji/LFvJtv1HuWncjYSHG3n7vffp06sXPXt0Z+++fcz64UdunXALiQkJftfl5Obx2ffzaJmWwshhg9FZS/xv7LOD7DKZaywyM7etYenS5RTknEIjBBpTFLbIeF5+5yNuG9qTya0bYzlVgCklntj2LdGYk9AlpOBKysAVbsYi9GzcuoNlK1ZQVmmndYsWjLlksDfeQJNz0CtCfPFUq/adm1BViuuyqATbffcVF1aNgaLCQpasWEVe1gnCwsIYd9PN6HS1a9Fg6U6DuTD5xkU4nU62b1jDju3bSUhI4IqrrkKn09X6DIFC6HQzG9W1kK/hzgU1LAoe3pr2JbffPrlWUeoh0D0uq8zuV5PBGB2rYhQUCoVC8afn145R+LNwwVgUpOb0hurrZ+/ZsR3cvy+9Bgxh2uczKC4uZvKtE73pTFu1bMnDD9zPBx99jBACs9lMl1ZN2bF7L4WFRdx7y/WEhdWsDWC325k+dwU2e3UxLak3eR3IbOXFpCTEc+mIoUTbKyitsHDXq5/x89pvef7B27i5fxcs+3YihMCUFAu4F/gVWhPLFi/l4MlcKqWG5PRWXDt+gnfhbRdarBoNJoDI+OBvZD1FgudY3vFDlJeXk5Kc7JfmFepX9dgcG8vQSy4FoKIwl1de/i/9Bgxg+9atmM2x3gW93xB9A5Gr9IFRV3OM/i5GGi7u14+hfXty4uRJPnnnTUwRJq4aM7rGuOH03HTKbC4i9ZoaxfnqqsngraIcGe8vFoLgcrnQWoprDcoPvJfn/h6xlOcIq7XSs0KhUCgUCsXZcsEIBQ8VFgvvz/wOo6E6Jae10saU2ycTuIwPFAvgrns9+daJQfvW6XRMmXwbAPn5BWzfsJoObVvTMqNZjbZSSuYuWcGeA4d57F/V1bgfmnwz//mLN0Cdl975hLH3PM6NY0biqKxg/soNXDtqOGt/mE56rLuqsaEoB218HJsOHGfniQpc23MxRsfSZ8AQ+o5qTbld1ggILrLYOLDvMPnZJ8g9eQxXUTYCgdS73aEk7mgXCWg1GlIaN6Nx4zSSmjQnMtJ/Ebx2+27+99JLzPruW2//N427kYm33ESfXr38FsZOpxOtVosr3EylLoJ1y38hvmFToqKiOJSZS0ZGBprwKBYvX0nvPn24ZMhgWrRshdkcw2uvvsKQoUN5+aWXAJgx7ROuHDM66MLbWE/XmkYNG3L3nVMoKSlh1o+zKS0pZeSlI0hv2gSon0jwdUfyFHnzLMJri2MI7N9PLISgoKiY2Kqq38Hcl0KJB42lyD0neoPX4lJXNWuFQqFQKBSKs+GCEgqHjp3gy9nzueeWG4iMMHmP51olL772NvdPmUSEz3Gomd0oFIE7yPHxcQzuX7NAlt1uZ8ZX31NSVk77lhm8+M7Hfue7Nm9EztEDvPvVHNZt302F3b2Ya5rWgMbpGfzvmb+SnOjedc7OK2Dhqg2UllsQljIu6tWT27r1QETFe915POlIy8tKWbdqBVknTyCEQKPR0KRZBq0yMujXfwDRutAuZA6Hg8ysLA6cOMW6bT9QXlZGmHQQHm7i7888Q1aWv9tSxw7t6dCuHZeMGo3dbufEjvUkJSbw8edfcvuDj3P16JH06NKJp577Dx07tCczM4tTOTkAxJjNJCQkEBkdQ1lpCQMGD6Vho0a8+uqrvPP2W2zbutV7nz6dWqPLP1LnewN118Iwh7mYcNVInE4nP8xbyOzvvuauSTejCbACBX4ePO93YOyCL7VlwTrdbEQ/LlrK6GEDQ573FQ/BRIPRVeknFhQKhUKhUCjOFxeMULCUlzN/6Soev/NWRHkBlFm8O7eJRsF1V17Omg2bGDLg4tPuuz6pUY+dOMmGLVuZNWc+vTu1RkrJ8vWbyc0v9LYZPWwg4x//FxohcElJo+REnv/Lg/zwwVSM8aneft6f8S2VpYWkJMQxZnBfoiOrsgZVxTh4OHr0KIt/XkSZ1UZkZBS9L+5Hw8suA/x99m2AVRPcDcXoqkSn05HUpDlJTZrTp6o68Jolixhx2Wi/trdMmMic2bO57sbxTLltAlu2bePzmV+wZsMmNm3bwcLFy3j03juRUvLE//2b5//xJA88/Bh5+fmMuepa9uzbx+qli9l58AgX9R+CRqPhh2+/xmA0otPpuPueewG4/orLuer6G2jS8SKuGDWC0YN6c9mQAcSZ3W5DgQvk0wnc1Wq1XDlqBIuXr+LwseM1rEFey1KIQGcA9MFds4KJCV/XJI2lZkA9VC/+j53MwuVyeS0KlOWHtD4EBk4Hpq31WD4UCoVCoVC4sVnsVJScffFVp0P9ffVwwQQzZzRJk/uW/ljT/7tqoSWl5O2v5jBlwni/06FqJdSGZ/Hnu0s88e4Hmf71LABGDhtMeuM0DEYDGU2b0KhBKnMW/ExSYgJff/s9/Xt1443nnkII4V3wncrJZdpnn9GqbXuGDuhHhLTWuK/LZCYnN4/ZS9dQYrGR1rgxg4cM9WYm8iVwkVibv3rgAtflchEXHenXRqvV0rZde8LCdGzauBGAYUOGsPDnnwEYNXwIpvBwnv3LozRr2hibzUZYWBjSFOvtszjrKLEN07FqDFRWVvLGm2/Tb9AgenTuWGNMmZkn6de7N9dcOYZ33v+AYQP7MeeLT/3n4zQEQuCO/tHjJ9iz/yDDRo05revO5vMSqk8Aygp44a2PePzOiWg8oi5EGlWomZI1WJxJmc1Fo7hIFcysUCgUij89Qoj7mlz+0NT4TsPOuq8DM/5GycENKpiZC8iiEBsT5Zdi1IPnAURkPFRW+J2rz6Iv2ILbs3v80utv8+kX3xAdGemtN9CqRQbT33mNiAiTX/+XXH4lGksRf3/0AcAdG+CRYPN/WcqJQwd4aOwodOYkkFa/HWO73c7sBT+TmZVNfGoa11x5Bbro+OoFaNW/Ukr27d/Pvv0HOH4qDyGEN3OO1eFCr3Ev+BulpdGxYycSk5K8zx64mC0qq6CosJCfFy0iOSWFY8eOsnrlSr78Yqa3zcFDhziyfw//fuFFXvr7o36CRa/Xe59TYylCA8THxeIsy2fWT79wqrCU68aNx2yODTrn0QmpbN1/BJfLxTvvf8DCJcv92pxu+s/AFKONGqSyYNXGWq8JtqD3PWasJfjb87nxDXyG6tSqgX1P+2kxY8deX1MkBHuWEFaJuorhKRQKhUKhUJxLLhihUGGp25SUmpTAvoOHggYfh/JBD0zJ6RvIagoPZ8++AwCMvWoMH73+Mu3btMIVbsZFzZz9vv7qrnAzUko+/ORTOjRL49Ibrw66OFy1bgOrt+7mmquuZExVFWLffqWUbNu+g9Vr1iClpHXr1nTv1pXLkpOp1Bq97TzjN2pcnDhxgqVLlpCTm8PIkaNomp5OIEZXJZ99No2/PvlE0Lm89qor6XdxX8wxMUx92R18TD1ShH6/ZB3dunQlrVW7oK4xnmOlNicfvDGVY0cOAfDZjJlntAD2jS3xXaBP+34+XTt39mvjaXe6BCvYFsqC41sYTWMpwul08uH0L2iZ0YwmaY2gjvoL9cmE5EFlPVIoFAqFQnE+uWBcj4QQ0nF4s9eqoEtI8W8QGY+Ukn+9O537br+V8IQG9e67wOrEZDJ5F7ERYYKCk0eI1UsOHT7Gg3/9P5avXsuurZtplt40ZJEuqN6RdhpjeOOtdxgxfBjNm2f4nXOFmykuLubjaZ/RpXNn+l/sjhsIFAjLlixh97ZNdOvahW59B1bvRvsQzCLiGYvT6eTbuQs5fvw4d996cw0XprwKO99+/RXmxFRSUlNxWsuxWi1cOfpyb5ubxt3Ie2+9Ua951FiKeP2TL7n1rntD1kIoKS6isriAb779hqnPP8fkex/k2vG30LZFc+/Y6+vyE4jRVYmUkvc/+piLenSnZafaPXLORDT4Uts4pZSsWDSPXVs3MvaqMaQmJ3nP1ZXtKFAwBbMiKNcjhUKhUCiqUa5H54cLxqLQvGlVtd9QNQMAIQT3T5nE/z6YziMP3h+07gH4L9gXLvqZnbt3o9PqaNKyNRf1H8LWrdsZeLF/xqOn//YUjRo2qHVx6BUJTidTX36RK68dS5PGjb3nKyKSAdixYzvzF/zM3XfdhdFoJDBaYe2aNaxbt5b+AwZwx/0PAx5B4PILYq6srESv13vdjzwLba/bS7iZay8bwalSKy9PfY0pt00iLq7aFSjBFMbNEyZ6+y8rLWX50sXMXbCIS4cPdT9TEHESSigVVArCzXF+VgMpJauXL2H2N1+xduVyigoLiI2N5eL+A5n+w3y69uzlbQsEDSQORrBCbQVWJ5+8+yaXXjKcpm1qxkXU9zlC4ZcKNdxcQ9R4xrR9wxrWr1vLoCFDuH/IYPfJIBWeA6uJh6xzEZFcY1xlNhdrN24KOVaFQqFQKBSKs+WCsSjUqMwcJKjZs+jKrXDx0aef0qljRwb0u9jrTw/Vi72TWdl8N3subVq2YNAIdyahvfv28fk33xMfH49wVJKTk8O6DRvZv/8Au/YfdN82yAIV8Fugv/vuu1w+5gqSm7YEqhd+ZTYXu/cfZNXyJVw3fgJQXUDL09e3X39NSmqqNzuR76IboMjqwGzU8cEbU0lJTMDhsFNaUsqd9z1QUyhQvfi02+289uZbPHT/fTXm1jO+7+fM5Zbrr/Yeb5aRQXx8POvXreOpv/2doqIi7rz7HhpVuUgFsmf3bj748CNat2vH0eMnOXH0CLt3bMVireSq8RMZMmQo6c1bEG3QBX0mz1z4zm99MvtkZ2WxfNFcHA4H199wI9HR0X5zF+iiE6zPwDb1rczsSWMLcCwrh8+nfULvvv0Y0LdX0L6CFmsLEksTOMb9OzazcvEirr36KpKbtuAvf/8/PnzrNayWCmVRUCgUCsWfHmVROD9cMBaFGtRSATc+Po7H7pjArr37+WzGTOw2m1/gL7YK4mLNTJkwHm10ove6Vi1bcsNVo0lOSiY21szS5SuYt2AhFosFl8uFRqPxW7zWKMwVbmbzlq00bJpBctOWQXebV/0ynwm3TUGr9V8Ul9lclJeVUVhYwFXXXON3DeC3iI7Sa2mUGMuEWyfgcDiY9snHQUUCVLutGBzlxBh1QUWEZ2d85PChvPnOuzgcDsLCwti4eQvp6RnccefdLFgwny9mfM5777zNZVdcRdP0ZrRq05a4+HhMpgh++vF7VixbwtZNG2nXoSPNW7ejW6/ejLnuBrpd1NvveQOLx4FbLAQ+ayhR5qHYYueL6dMwRZi4/NobMRqNNa7zfR0oPIKNw4u+ZmXmUGLB6Kpk1ebtrFu7jil33+dnyQpWrM3TT7AAZc974Rnrjr37WL9qJX972J1a9q//+D/0ej22quB6hUKhUCgUivPFBSMUpEbntRhs3LKNzRvWIRBQWUZyfCyXXnopnqWoZyHWtlUL2rZq4efSUZtrSV5+Pl9/MYMJkyZjsVq4ZNTlDB86hB/nLvBzwfENgPYVC7nlNhatWM29993v507kWZwWFhYQFRVNTHhYjXMA3339BTeOHVvrPETptUTqNeikA1P5Kdas30SftulBRYKHuo573GgIM3DjuOr0spddPZY3pr7MuAm30ufSK3jiXy+zevlSsnLzyD5ygC9nzqCosICK8jKky0Wbdu1564NPiE1NY+WSnzmwby/pzVvUEEWBmI06iqyOoGIBgouEQwcPMuu7bxlz3TiSU1JqnA9GoICI0mu9YsHzr69I8c1oFBis7kFKyWefzyQuzswdd90V9D7B8MQphBILACeKynji3ils2bAecLvWPfP8ixw9foJBwy9l3OhL6vXcCoVCoVAoFGfCBSMUNm3dzuNP/5MXnn6KnxYt5h933eI9d+REJv98/X26du/BZZcMDXq9Z8EXSixoLEU4S/N57qWpPPfSVADumnI7Lz7/L+xhphrtoWbGpA8+/JhxE27zEw++7b756Qeuv+76oH0UW9wuRBpjZK0LTY/loCD7JDOmT2fr7n3865l/hBYDPoGzluKCGnn5ffHMi2euogxarr9xPO+88zaXj78NIcJo2K0/DX2uSYrQYzbW/Bj1HTiEnn3789OsbxAOG2PH30xFLRv4HrGQU169U+4rFnzfsxWrVnH8+AkefPgRhBA13LMCCXRpCsQjUMxGnZ9gCJYC1eiqxBYWyaHDh9mybjXHT2Zy9eUjada0Ma6AmIU6g6WrCq75igUpJa9/8iWfzZjBwUNHSEitDsofPfZmrrllslcsWksKMUbXTD+rUCgUCoVCcS64YIRCrDmGZ558BIDLLhnKm1/8CJUVtGzWhKxTuTRt1ICRvTtz9PgJ0uMja1xvoqb7iGcHt8+AQWzavMV7vEnDVH7+4SsaN2qIS6vFXsfYIvUabDYbxnAj4eHhQHC3mUZpaWRlZtK8RQu/68tsLrRaLfEJCRw6eIBmGc1D3sdjOXjigbspO3WCG68YiQxRldmXtZu30yytYZ3tAt2lEpOSuXTECL5+/zVGjL6SpOS0OvvwEBYWxphrx5Kbc4qX//sit955H3qDwRuTADUX8aGOe8ald1jYuGkz999zN9YgIsF30e8h0FoQCt9x+YqO0pISli35hdKCXDQaDQaNJKNZM4aNHE1srP9nyuiqBL2hVgsPuIWaxud3KSUfTJvBi6+9zeFjx73tSkqKAbjptjuIT0z0ioSzzdikUCgUCsUfDWuFnbKimgVtTxeHqszs5YIJZo6OjpaPPvQAU26bRExMDBpLEaK8kH2HjhIdFUFqUiLL123im58W8ugdE2mYkhS6s6rYBldSBq5wMyczM/n2ixk8+o/nSIgzk7n+Z4iMc7eppeiWL8uXLSMhIYE2bduGDJa12+1M++Rjbr1tcvVQfNpKKXnrtVcYP+FWoqNjalwfrGJ0fTixfzdzl6xgyrhr3c8UIhVnsJgKbzuXix+/+4aysjJGXD3WL0C8PpSWFPPZB+9yzaS7CdPrQwqCUHjE1vezZtG5SxeaNGlSI97A13XJZrPx8f/+RURkJNs2beR/r70Z1EUpUGB4sJfks/znhVgqKoiIiqLPgEEkJaeQGul2G6troe4bhxCII76pd4zrNmzgv/+bytz5C7znWzZvxsQbr+O5/77G+JtvYcqjfyPJHOWdA9/PgT45XQUzKxQKheJPjxDivuQh906NaTP4rPs68eOzVBzdpIKZuYAsCnGxsfz9/57l7//3LACD+/Vlwaev0yqjqbfNkjXr+e/fHuGJ56fywpMPuOMKAgKefSs76wCSMmjYoAH33zGJNWvWoNeHua8L8B33TYUZbJF4cNc2Lp5yN1DTJan6dy1lVhslVkfQtKNCCCZNuYu3X3uFCZOnEBNj9vZ3piJh1979zJ+7kAdvG1/D3ShQJNSeDUjDuBuuJz8vjxnTP6Bxs5YMHDKUckdwoem78DYbdURFxzDqxol89s6rjJ9yH/js+AcugD3j8eCJBbHb7Rw+dpwhI0fX6W40oGWq9/ewMD35+Xm1xjKYjTpO5haw4pcFlBQWEJeYzIjLxxARGeV9nn35FYCJ1MiwWl2M/ERCkIB7jcmM0xjDoBGj2LhhAy2aN+eDd94iN/MYRcUlxEcYiDBo+c/Tf8GlMzJn5sd06dKVoX17+vWvUCgUCoVCcT65YIRCbHw8/3zmacZPuJW0tEa8+sIz7oW8z45t/57deG/GN1w+dEB1hqNasiOBezGnqShixvdz+WbuIho3qF9gbCDG8HDKysqIioryHgsmGC69bAzvvvEaU+65r3qMPhgMBibfeQ8LZn9HaUkpl4wYQUK6Ox3p6SwQrdZKPp7xJclJiTw0+SZkRLUv+5lUQPYQn5DAPffex6ZtO/nkg3dxacPcLjhxbgtMYJyBL9ExZq6++Tamvf0qYyfdQYN49zgCYzpCWTaWLfmFoZdc6tdnYDYoj2Xhx3U7WTJvNv/9++NccvkVtG3XPuiYyvNzWL9yCXmFxdh04fQeOBS7MZqkCL3X5cxX9Hh+91gWfMd7Ou5A3y/4hY0bNgCw/8ABJk2503vu9Wef5PYbr8FlMnvTr65auZI3336XyZMmcmbl6BQKhUKhUChOjwtGKABcds1Yrpu7gC+/mMnx/DLSG9sJ8yleNaBXdwb0CuKFERkPuF1udFW/+1GWjz7MPRVLvvyw1iq5ENwNacSYq/l+1neMv+nmmrf3WQS3aNqI6669mk/fe5O77r4nqFiI1Ecx/qabCbNXMH/BQpYtnIvGYaVNyxZc1K0LRmPwpWJefgGbtm3n8NHjWK2V3HT91cTFmvHd8w8lEjy+9VCz/kBgkHOZzUXL1m1IbdYSS0UFC+b8QElxEZ36DMSY3Ji8CrdQyCq2khpjJK/CRoKpylVJZ2LYuMl88NbrTL7nfoqM4T5BxJqqhX9w38Cjhw8xZJh/pp9gGZHcfaTQtlNXAPoMG+m1PDgcDrZt2sCRvTuRUpKUnMLVI4cTHR3N4QpNUKHjG+/g+T1YRWwPnlgY3zgEKSWZp3LZsG0nJ8u3UFBu8bZfcTAHR0k+cQaBtrKc9PSmbNi+gzfef4V/vfw6Qrjo07cvrVq14q133iPcFO7pNOg8KRQKhUKhUJwLLpgYhcZNmsi1GzZhMpn46IP3+e+LL5CVlc3Lz/2duNhYrrpshDd//amcXJavXsu9T/yd+6dM4okH3C5BvotkXf4R9y9l+dgObOPWN76mXeeuPHn3JO9ObiB1xSm89cYb3D/l1npVMz5y+DBzvvuKu6bcTnh4uF96TF88VgQpJXu2bmLDtp1YffSdR2ZI3AHfXTt2IL1JWlABArVbE+qqVBxYDMzX7aegwsbcuXPZt28v6X0vJSou0a+f1Bij/70qyln4+fuMv+M+wnyqMYfKomS1WFgw6yvG3TKxzuJoHjeqUpuTlWvWEpeYxIHdO8k+eRydLoz2XbrTvE07GscYSdDZvZ+FssRW7M6zkFNuIynCLWyCjSUUqZFh1aLKamXDyiXs3nfAe75BSjLdu3QiplkH/vP8v/nXc8/W2ef702YwYtTlQHBRZI40qRgFhUKhUPzpUTEK54d6rYKEEKnA88BIIAo4BNwppVxadV4A/wBuB2KBtcDdUsqdPn0cAZoA/aWUy32OPw1cI6UM7htShTnGzJczZ2C1VjJg4EB27NnPY/ffw/1P/gOAu6OjuOqKK9izdy9r1q7zXjewb2+v+0ZJSQnCEIEQgoT4pujyj+DIy6awrILZKzfx2tOPhhQJgF+cQjBGXzKEr775luuvvSbotb60btKAhpNuZerLLzH55htJTIiv1bVIaymmXcsM2rXMAIKnN60L3yrCnqw8Z+qG5CsSiqwO8iwOjK0uIi6+LRuXz8NaVkJGr6FExicDkFVkJdXsFgupMUaMpgjaXXoDb039H/3HTkarC/OeSzDpayzUN29YS68+fWuMI5i7j691pNJiYcncH7l46Aha9a7+zyO3wk5jj3ipSlMaiK9IiNAJ3n3zNU4eP86zL7zkNwd5ZVYKTxxmwZ4diCpXOL3BwEXtW3L7LeMQQtQIiu/UubN7rOHhVFqtdLnkKhxlhbRr04ZNKxZzYN9ePv/mey7qc7G3+Fqgi5ZCoVAoFIrfN0KIOOD/gGG418F5wGzgr1LK0L7x/n3cAHwOzJFSXna+xhqMOoWCEMIMrARWAKOAXKAZkOPT7DHgYWACsBf4O7BQCNFKSlnq084KvAD0Od2BanVaJtw6CZfLxeJffmbRooXc89CjOIWWlStWcMO4cYSHh9M8oxll5eVohYYDhw7x2DPPk5Y2na+//Q4pJVt27CIlJQVjdJy378Q4M3eMHUNMi85+i2lfPAvSQDcc3/MZzdLZvGULu/fsoU3r1rU+j8ZSRIwOHrvvTl55+32uHXMZTdIa1WwXJGuO5/iZiAWjqxIpJcdPnmTnpnWczMrGFeZ2ZXEIHZVOt4XJYndi1GkwRUSSnJxMWpOmxCQ3pNQuySm3ed2LNh0tYuuhfCpKKn1SkrVDhjs58NUcpMtBg16XIjRaTNEG4mPD/cYT1vESFn31GR0vvcF7zOOm5LtQzz1xjMEDBgA1K2J7nssXKSUfvfc2Ge06ccNtdwWdC/dCP4ykquxXWWX2Gm5HUXotM6Z9wqP3u61STz71V47t383qdRuorLQihECj0ZLRogVXjr6MpMjqz4Wv8PMNigfoe3E/dGFhWC1uF6Q7/+8ljm1ayU8fv8He3bv4ceES+vXu6b3eVywoFAqFQqG4YGgANMS9Vt5V9fubwAxgeF0XCyGaAS8Cy+tqez6oj0XhMSBLSunrfH/Y80uVNeEB4Hkp5TdVx27BLSRuBN7xue5d4HYhxFVSym/PZMAajYYhQ4fRf8BAPvpkGp179ubFl//n5+5zz8OPY3RVUlxczJZt27mkynXjycceZeGPs3j51df49osZ/DR/Pu9/+DHDBg/kualvU1GHa5EvoQJXr77yCv77ylSapadjMPj3F8xioNPpeHTi9bw34xtapDdhUO8e9R7D6YgFh8PB3LlzOXr0OGFhOho2aEDHNq0YMWQgRMT5uetAddBuRXkZ+TmnWL9jL/t/mEeJ1cbRvHJKbBKroRGnjudTln045H2lvYL8z/6NqWEHojMuIsfsHm9klXXBFG1ExjVm86qldOnjFgJ5FdWuP+BerEvpQqer/rjWWDDrqwvpVRDGm6+/xuWXXU5CwyZBU6D61kuIjEymzOZiX361ppVScvzoYY7t2+0VCQANog1UFOZw49jrvDUzPNQ3Zaor3MzBHVtw2N3h0ldcdyOPX96bgpzqjFxNG6UG68KP+QfrtRGhUCgUCoXiN0JKuQO4yufQASHEo8BsIUS0lLIk1LVCiDDcguIpYBCQcF4HG4T6CIUrgHlCiC9wDzITeB94Q7oDHNKBFMCbCF5KaRFCLMNtOfAVCseB14B/CyF+kFL6J6+vJ55UozfePIETx4/x6utvYDQa6XFRb1q2bkOUQYtVY8AQm8SAfhcze9a3fP3td8z48kuOHDkKwFXXu3ewIyIi6H7xoBrpQc/UxUMIweSxV/LZjJlMmnBLre5EXmuBENx+4zUsWbOB2T8v47Ih/et9v0CLg69wcDgcrFy7gd379uNyuRg2cjSjLq3OGuRduIJXJHiCeT0WAwAik4lqkwymFhw+lE+FrpLcg8fJXjULaS2sfnZ9FCIiCaGtzggkwkwQ15LyUwcoO74VTVxzwkxm4pt3xWQ2U1ZkJdKcTvHO+exPaQLNmtaIZwB3HYdg+KVHrRIL7779NlddfTUNGjSkzObyZkMKFW+QVWanyOqg0lLBink/YsBBhF5L8/R0+vbqwZzvv2PUmCsZMbAvUyaMd4/HoOFMS7poLEX06N6N0ZeN4ofZc5j15ecAdOrRi3HjxjN50sQQQe7VWbTmH8znhy2ZZzgChUKhUCj+eNgqKqgoKjrrflzujbzxVS4/Ht6VUr571p27iQYqgYo62v0TOCKl/EQIMegc3fu0qI9QaAbcBfwPd5xCZ9yLfYDXcYsEgMCAj1O4zSuB/Bu4rern7dpuLIS4HXfcA2lp1RWBfRdMjdIac9sdd2O321m/djWffvgeAAaDkX59etGqdWsuHjqCoYPd87t33z6e+9fz7N67l569+nDzhAl07tK1xr0DM/+cDjGpTXA66tZAgeldB/bqzlvTvgwYSHD/+drYve8AP6/ehEE46NOzO1MmjA/qJ0+EO37A15LgWUwnRej9gno9pJqNrD9cgCnaQET8ZI5v+AWHtQwpJdhKkUVHcLnsCE0YIiYNoXMv+jXRaUinDVf+PmwlJrItpQgh0BkjiW/elfAG/dg+5xvKLrkRcGdM6pDqTlNaZHUgwoxkFxYTEVFdddtjIcgpt9Ey3gTAj4uW0L5rD6ITUoMGXftWX/ZcX1JcxKIfvwNg5GVXEGOOddd+qKqCnJragFlffUG/rm2B0AHhVo3Bz6rgaRcoFl3h7mxIR48d8zu+df0annrmXyED0T1E6jVckhFPgknP97W2VCgUCoVCcYZ8JqX877nutMql/1ngvdo2zIUQw4Hrca+7fzPqIxQ0wAYp5ZNVrzcLIVoAd+MWCh4C0yeJIMeQUhYKIf4N/EMIMa22G1cpt3cBunTtWqMvX8EQG2Fg+OCBDB88kDKbC4vFwrrVq/hxzlyGDxtMx46dAGjSugPvfTrd24fRVQmexV1AetCzITzcRFlZGdF1FB52+aR39SCl9F8shhALgULD4XDw8WcziY01c+eUyd4+hE/QcqjMReXlZZw6cpC83BxOZJ3CbndbFIw6j1ASVDpdnCqzEW1zIC12tDY7xgwjla5ootM74tREU1Zk5fCKH5BOu1c0aGKbIXRGhFaPNrEt0lqEK3cnmsS2OKxlnNqxDACtzkjxZ69zrOvVJDVNYV60gU7N4kk1G5EpzZm3bA0devqHt+RV2MgqtpJXYaNlrJGde/Zwy+13hSzEZjbqvALBVlnJ/O+/xqiFsTfciFWE8c2nHzD12ado2iyD/778MiMG9MWqMTDw0ssxuipxETw7lCduImh8Swhh0b1nL46dOElqWlN2bd0EgKWi5uZCMJcmG4IBTWJqHFcoFAqFQnH+EUI8h9slqDYGSSmX+FwTAfwInMTt2h+q7wTgY+BGKWVhqHa/BvURClm4gy982Q3cX/W7x7E6BbdrkYckaloZPLwG3AM8VL9h1k7grr/7dTgDBg+h/6DBrFy2hEX/m0q3Lp3o1bs3BoMhaKVjY1Ugc13pN6HuIlu9evZgzbr1DO/dpV7P4Fn0N2vciP2Hj9GyWZNaC8V5BIbnuq279jJv6UpuuukmUpIScfkIjUCRUFrpZOvO3axcvRqH3Y4pTENcTDQZzVvQpl0HLh4wiPiocO/zeeaoIiLZz/rg4Wh2LlvXrebg0c0QA7FXjGH/2h2UasOQLkeVYHCgiWuB0GgRRjManRHXqW1oEtt5XZWcDjv2igqyN/zIqR0xRKVmkHOsHZFmI43SoinesATS2ntdk7KKrWQVWTlRWEGjWBMLvv+F4YOG+1kNfPG4IAGsXvIzRw/u5/qxNxAb7xZh/3vqMT77wO0pp9VoSE9N9M6BVWMImfHKI7pCWaECLQ2eY5179mbBwoVekQAQFRPjF6wdrOrz9l176DboUrTaOlSoQqFQKBSK88UrwGd1tPG6DgghIoGfql5eJqWszYO5PZAKLPLZONZU9eMA2kkp957BmE+b+giFlUCrgGMtgaNVvx/GLRaGAesBhBBGoB/waLAOpZRWIcTfcQuGWq0KZ4sQgosHDKJv/4Ec2LeXL2bOwFZZiVEL3bp0oXPzRmi12toLkQXgu2AMtggEsNltIQuj1cbuA4eqA5pDVJX2jUPIzD7Fl7N+pE3LFjzy0IMh3VasGgPbtm3lvXeyadn2MGkZLeg6bDSN4qJJi3aP0+WChfO0XH2F9D6TLv8IjiPu4mRhMfFE6KMxmxPR6/XeOUtvFk+v5lcDUFBm5YP336f/6AxWl/bxZjmylRezbuanlFUKXFKD0BnRJLV3WxbiWiKqMi+JmMa4cnegNXagNOsgpVkHiUrNoKyoHZYTxczbdJJOzdwL+xOF7t33RrEmUs1GjhUXQnQCu3LLvClWPYJBSkmpzYmUkh9mTqOw3ELXzt3IPHGMrCP7ycvNZcfmDd75mvnlV7RK989CFUwIlNlcSCk5dCKTyuIC8nJzKS/OJ7+oOjbJoHW/J7oqC6NLqycyNoHUphlMevBJXn3ub0REReGwVdIwrXHQ909jKcLpdPLxF99w+4OPk944jUk33cBf//mfoO0VCoVCoVCcP6SUebhTndaJECIKmIvb22aElLKsjkvWAx0Cjj2HuwTB3fgkFTrf1Eco/A9YJYR4CvgC6ALcB/wFQEophRCvAE8JIfYA+4C/AmW4c76GYhrulKq3AgfrGoQGWWcdA1886SQ9CCFo0ao1LVq1JlKvwW63s2vjWt7/4nscDgcNGjRgxPBhEF7df10ioTZ27trN0MGhi374ugx5Fv5bd+2ldfN09PrqYOBAlyOvJcHl4pMZXxGmD+Oe2yZ4MwIFCh673c4Ps+dwLDuPbduuZMb0Xoy7ycEtkyopd1RbBlwuuP9O+O4rI9+OXMfIQYsQtgqceZnYc7IQgF6nJUynxWE04ghzxwQkmqO5+srLiIx2776bTGb+Mflalm7aScSm9YwbeSvh4eGU2pzsHdqRV998j6OFGgqLBJbCU9iTOkD+XrQNumCKd4e0FJefwlWeiybCv2hbpcVORUklWw/lewVIj/Q4UmOMxBl1nDCbSDDpyatwB2OfzC/i8PplLPxmOltWLWPB1oN8Pu0TNELDhy8+TUrDRiAljRqlEZ+QQHyC+36vvPo6zTIysFJtTfD9LB0/lceGFUspKMjH5nJ/tqLik2iUkkybFs2IT+hJVFQU5fZqb7lIvcb7eSqXOo5m5rD30GGKCwswmsIpLshn6KWXsW3TBuL69SNSXx2LISoKWbNhM4/8/Vl0Oh1zvviEoQP6IYRQQkGhUCgUit8xVSJhAe4A5iuAiCoXJIACKaWtqt3PwDop5ZNSynJgR0A/RYCuKovSr0adQkFKuV4IcQXwL+BvuM0of8OdA9bDf4Bw4A2qC64ND6ihENivSwjxONVmmHpxNmKh1OYkSq+tcu0Io1Ovi7mop3v3/tjx43z4+ZdUVtoYfckQmqU39UtneboUFRURFxeL5+5+OfUDMhVpKoqQUrJg2WoemXJL0P58rQhl5eW8/t7HjL/uKho1SA06RqvVytffziKvpJzLx4yGzY158nH3vE2f5n7bn/lPGZs2rGH3zl3M+no4mza4a97N+aknk8YkMCLpewp35JNz1PMULsAOWIlMdS+CC0rtPPuPfzKyU0s6dW7jvX/3nFxaRlQy/S+30rdtMy7q2YMWTdsx8D+PMnPuYtZu342p422cKKzgVFYexxZ/Q3LXrgghOAIUbZ2FNCXUsJCUFVkpK7ISHxtOo1iTN+D5wJ5ddOrQ3ht8nVdh497BHXE63ClItbow3nzrTVp07sGLd4ylRYcufPrjInfMQvYJ3pn6X36Y9R0P3ncPt954LfoAd6Oy0lJmf/8dFksF5tg4Lh02hITERD9XLE/wczX+YTUe65NWqyUpOZnw2ASatuvC7XfexZaN6/n03TeZfIPbMnPtddfTpkUGJ44cZPHyVQgheOSeKdw6fmzQyt8KhUKhUCh+l3QDelX9vi/g3CBgSdXvGfi78P8uqFdlZinlHGBOLecl8HTVT6g2TYMc85hh6iQnJ5cf5/zk3vU3nL5LD7gXcoF4Fm+N09KYOOk2XC4XMz/5gNLSUrq0SKvRNpBgPuQWi5XKSluNtjWoClJ2uVxM/XA61142PKjrkK9IWL1+I2s3bua+22/FZAr3Ewie8S1dsoSdO3dw3XXXk5CYiNFVSXqyhZvHw6efVYuFfXtP8ux/Ytmx7V42bai2YtwytpTLeh3Gcah6DOWnagbZRqbGEGe10SE2mh0nTtG6QXV634qcQnTAnX3a89qCtfRo2QTKUohkL2MvHUS4FuyaU3Tt3IpNsSaaxVzJgX07SO3cj7KidhQfWI2syEP4WBWEVk95Xg5Cp+f4USONYt1WDbNRx4Gt6xlypTuLmZSS/VvWe0UCQLv+l9Cx72CeuWkUAAOvrRZkvTu3A+D5fz5LQqSRr2d+BvoInDoD0uUir6gEjUbDDddfR0xMzQBi39gHqBazHqHqOecJdvZNReuhc7cedH7nI26Zcjcrl/zCyYN7Wbl6Fc0bN+Sz916nS/u2fnUkIHTKWIVCoVAoFL8PqoKZ61zrBlsnB5yfcG5GdHrUSyj8HkhKSqRD+/Z89Mmn2NBy2ejRpKTUXZQqGMGCTT1oNBpunDiZjz54H1N4OC1aNK/RxkMwkQDwycyvuGnczTXa1xxIPFJKpn44nauuvpq0hg0giEsSgM1m4/1pM2jZvjP3PfiI+3zAM5SVlfHJxx/RvXsP7rr7Hr8xajRw63Vz2LmjMRu3dAdg/bp2jBjoP6Rbxpbyzv/y0Vjj0TfvSGwtwzclxTJr427MDVMY160NGnMSrqIcvzaHK110bt+i+kBZPpHs5bohvXnhjfe4vtdFJJj0bDcbObppOQ3N4ewGwuLSsZ1YDxGJlGa5PdPsJWXY8legMZqBrmyNNpBqNuJ0OMgqtlBoB+w29hw4yPOTrwGgfd9B7Fi5mG2/zMZlcccNvLl8DwZjODnlNqxWi3doG7ZsRyckUkqsVitHj59k77693HHP/Tz8xFPBA4z1Bm+tBt/PVaDly1dI+IqEwKDrTl2706mr+/2J0mvJOX6YlYsXsmnXAW+b5g2TMBiN3Hr3g7W8OwqFQqFQKBRnxwUjFACaNmnM7bdNwm6388X3P5Gbm8voK8bQsGGjoO2DpTmtb12ECbdO4u0332RMlJkGDWqWgwglEk5mZRMTHU2cQVLXfq+Uktc+nsHoMVe4RQIErbS8e98BZs9fxMTbphAXF3zpvnbNGjZu3MCEibcSERHhN8bKgmzenzaDdq1bsvobHZOfKuWTmVE1+ujfbQP/+4sNjaaBexwmM/rI+KBiIR8jb8xdyqXDL6VdfIT3uMacBEB41b9Lvl3AHVcM9XeXKcsnDMiIC0dTnk+31CSSIvQ4LhnK0cNbiDQnI4RAaHRIpx2hDaM06yDSWoy0V6BBR/6BTZjMZtbHhrN60XxatunB9qwSUmOMJDZ0BwQPGjmayKhor5PfjtXuNKw2SwUGY7i7qJxJz66sIqINOiL1Gg7u2Mwvi5diTk6laXo6N1x3LUOGj/CLMQjE18UtsI3n81ZqcwatEO3BY+0KFBRJaelcefPtWIry+OKLmSxftpTSoiK2bd/GtaNH8dHnX9boS6FQKBQKheJccEEJBQ9hYWFcc911OBwOfpg1i7y8XBISEhkybBgxVeklgxFKJATLZiOEYMqdd/LWm29w9z33+rUPtWAE+G72XG6/ZZzfsWDVmSsrbbz28QzGDB9IehO3i5Mr3Fyj7ZezZiOMkTz06OMhMxp98uW3JCUlcfPku4gI2PUWFYW89MY7PDD+KmKi3eLgtb/t4ZOZPWr0M+0vG3n8r1/xyj8exhCXistkxmUyo+/sXwzwx0VLyTx1ggf//ixhYWHumIuA7ExOp5Mv5y0hrVk6+qQGfuccednogFYNE9i9aT0DL70cs1FHl06d2Ld5LaZE90JfRKYiy7MR0VUuYNowsLpduhzWMvIO7mQ3YD+yG11GDw4dLqBRrIl46wmSGqbRvUdP2nfsTLvO3XjrpX9SnO9OTlCUl0OYwYjR5BY4RVYHy39ZRN7xg3Rp24p77rqDzMIyRl9+Gfc8+hc6d+3mN/5gKXXrSzCR4Iuve5xHXGSeOM5VQy4GoLjYfe8t69fQtnGyEgoKhUKhUFRhKytE5J88636c9tDrvD8bF6RQ8KDT6bjqGreLSW5ODvPm/sSpvAKSklMYesmlGI1Gv/a++el9j4WiwgEJKQ3Zc/AIrTOaeo8HS4nqCjdz9NgxEhs28UsdGkwkZJc7+ODDT7j7lrFEp1SLBN9/rVYrb77zLpcMG0q7tm299/VFSsmnH39Eqw5d6NW9Zr0GjaWIBUuWcc3Qi90ioSwflwuumFjTmgDw8Ms9GdhrAwa9OyBYU1HkFQvgzqD0xgefMKBvb0aNHlP97CZ3pWEPK9ZvZs2mbYwdchGNUvwzFwHoElI4ZYGlm3Zx74MP40kkbKu0UuHUknOsGIe1DJw20FY/s6wsQRjdMQI6YySm+IaEk0lS207kF1a7EBHbiL9Pn8vGOV9xtKiC55+sdtHRGww8feMI/vLhd/To0ZM1P8/l1IljDBt+Cf2HDOPY3p288Pp7fP7Zp/TuP5BJk24LOlehCJUuNxjBaj148LVEvPz8P70CAeC6sTfQulWrOi1WCoVCoVAoFGfDBS0UfElMSmLUVdcDkJ2VxdczP8dqtTBsxEiaNE33tvMVC/WpwHzJyMv45IN3aTTlrjrdlr77/gfuvetOXFWFsIKJhO279rB4+SoeffhBv5SmviLgxIkTfDHjc267fQoxMTH4VuTwjNnpdPLRu28zYPAQWrRq7T0fuEjds2M7IyaNh7J8bDnZ3PFiL37ZlBF0/F+v7IJRfx+3jtyGHiAy3isW8vILePeT6dx+yzgS4uNqXOsymTl1ZD/Tv/uJXl07urM3+VgZHHnZ6BJSALBYK3l/5hwe+dsz3uDeIquDlcuWclzXhLzdOwGQjgqE0cfxqbIEIqpcm2KTSWqagm3/PDpeM5GTRRbyC6t/di1aSq+hI2iWGsPd//cSb/zDHddht9tp2rwlX/3vGQ70GcCQK8fSa8ilVFoq+GbuIv460Z11KDIqmsef/qfXilNmc4G+fiLA970M/IzVJg4guNXr1IljTLjnIcJNEdxx973ER5mwakK7QikUCoVCoVCcCy5YoRAYLOq7IEtJTWX8hFtxuVzMm/MjC36aw6WXj6ZRVTGr+ggEDzqdjqioaIqLi4hMrLlA9rBz1y7atm5da7XcFWvWcSIzm/um3Oo95hEJnjGtXb2S/Xv3Mvneh9BoNEHHWlJSzNtvvcU1426mWaMGQYNsNZYi9m7bRNsWGV6RMOWfnZj2S7VIGNNkPn/t8gr/t/NhZu8fCsBnizsghOCdp7Z6xcKmNStZvmUPj957B2FhYQQipeT7uQsoKCjkgUnjamTnceRle3/fe/g4Xy9Zzz1334lWq8WTlyin3Ma6jdsojemHpdBd0FvayhFR1fEhGq0WXXg0AAkZ7dA4CujYtiXdmsbSjVg2HS1i66F8KotyySmsZFchNG8SQfP2nRk+ajQL5vyAdLk4csCdnWz/9s1cee11JEXo6d3OPzC+rLSEvz54D5On3EGHTp3dxzxiIcBFzOiqBH1N96P6fM58XY1qxEFU9RluMtG6VSvGXDuWIqsDT2WNnxcvqbN/hUKhUCgUijPlghUKgQSzEmg0GkZePgan08ncH79n4byfuP7GmzBFRITqpkafZTYX/QYOZvWK5VxzpdvdJthO7sJlq5ly551YhfCe9405OJWTy669+7n9lnE1Upp60mUuWTgfl8vJmBtvodwhAWeN+9hKCpj+yUfc/8CDGAyGkCIBwGBOwnkiEyLjmfdLAtN+ae9tc1GTuXRIe4rv8yTDO75AeGw0X63rCcC0X9pz5RgnI/uf4oPpX5HWrAX33zHJ+0y+HNy5mVlz5nP5iGG0blElQgLqROgSUjh8IotZn3xNi9ZteOKxRxBC+LnObP15Nl369mf1CQPxzbuSt3cNTulCCPfzSXsFsuqC+OZdiTQbMZ5czaApd5BgcrtKDW+TRNcmZr54Zw7drxqHpkq0PXi1WwRFRUdTWuLOfGSOi6OooIBocxxmo47Nh7P54eelZOXmk9G0KUaTiRNbVjH+2iuYOPkObr3vEaINwb8uDoeDwrxsMEZhDA/HYDCg0Wj8gpwDU6h6BEJgpqRgmMINFOTlIqX0VtFetGQZ14y5Mmh7hUKhUCgUinPBBS0UghVfCyYYYsLDGHvdNZSWlvLBRx/TomVrBgweUq97ROo1pDZowIK5s4PGOACUOARhYTqEEN5dZ8/4XOFmXC4XH3z5Po88+AAV+gjv+NxpMi3klNtYPvd7YuIS6HhRP/bl+9csaBnvrheQcyqbud/M5K77H0Kn09XYgQ50dWqS1pCF8+cCMHq05G+Hsnl2agoTrsjkzXsLoOQm93XmJO6IKyXiH5l8PKsBf7s/mzYdjvDi9EVMuOVmkpMSawiE8vJypk3/nOTkZG+gdeD+uQY4djKL7374kbSURO6/czJE1rTKrFy2hGhzLJ26XQS7c1gNlO4uhgZdvAFFrqLDaBLcBd1MZjOJZifRziSSosK9RdaklOz55QdS9C5+fPJ6IuMSSLv/CR7/98sc3rUdgzGcae+56wS2atueDatX0jIljsTIMMr0Wq67bITf3Hfv1IHho0Zz29grad25G30HDCZSr+H4iRMsnv8TlTYb6E1otFqSo8OpFHosFisWqwU7WoQQVDrd6VZNEZGkNmlG04zmNEiIq5dAAPfnb9ToK3npX8+y6pcFLJrzPVaNgXtuvzXkNQqFQqFQKBTnggtaKNSGZzfXd0EWFRXFA/fdy5bNm3jr1VeYePsdNQKeQ+GuKRecxb/8TK8BQ7zixCtSqgTD9M+ncdUNN+HQR3jPHS+pZFduGQCLZv9AVFwC5sYd2J5VEvQeMbYiZn/7Fffe9wAx4WHuxWXVbYLFQoA7c5PvuP/xQDadugguu8SGRtPXr60r3MybH0P3Tw5jKfqQrYcb8NgjDyFNsX4CwCL0zP1pDsePHeeGcTcTHR2N7zLXI46yT53i6xnfkpqSxD23T0Kr1QZN/bp500aOnsyi36iryCm3MbxNEpm7N2Hr3pOi8ljyD2zCXpKN0IUjhMYdm9A4hopd87nqtttIitC7d9ltFQzu15djx49htVaN6NB+nrhpDJ179qG4IA+X08nzr71Di9ZtuOGyYbzz8WckmiMxuiopKczlp59+ZsWKFVx2+0MkpLgzNZkSUhk/aQqff/QeeTk52CtKadYkjWtuGI/JZPLOvSeWwzOXUB2rUGZzUVZayvbde1i7ZBH2ilLCpAO73UH/fn3p2KzavSpYFfBxY6/j7f+9yIrly9DmHWb77iNkZ2b6WUgUCoVCoVAozjUXvFAIZlXwECr4uHOXriSlpfPBO29y130Phkw76ttPUnIKp7KziWzsn+rTqjGQlZlJn0HDa1xXZnPhcrkoLCkjLqWR14qwL7+CvAobm44WIaXk5IlMOnToT1ZRddhyqtlfwPz4zZfc/8CDRPsEw4YSCL5ERURwPDObhs1b4wo3c9lVYNVE+40xN+cUa2b/wKlT2WQ0bcwNEx4nQjgIlEYbdu1j0YIFjLh0JCNHXea93neeCitdfDHjcyLCtEy5+17CwsIQlqIa1oaKCgsfffolcWkZXH71dd60oZu3bqUo8wjmjAHYjhUj0zuStXgFmuSOgDs2IVWeIqVdSzo2cLsNZWVm0qN9SwCW//QtW/YeJq+knLRW7Wne+SL0BgOfv/FfXn/p3zzzxMM88MRfsVVW8tgD9/CPJx4BKckvKMBqdc9/z1HXeoWCy+UiMiqatSuW0af/IG4afxPJcdG1WgE0lqIaC/7IqCh69+wBPXt4LUFSSn6aN4/Na1dx0/VX+9ea8GHL5k3s2rPHPT8799CiRRt69+nL6lUrQ45BoVAoFAqF4mwRte2U/57o1rWLXLV0cdBzp5PHHqoXt0ePHGbV8mXccNMt3nOhxEVWXhHz585hwk3jaiwSP5r5NcMuu5KEaFONe2zeuAEpJV279/BW5M0pt5FXYSOr2ErWgd3YrBU0aV+dqz81xi0SPL73eTvXkpoQT8fOXbyLTI2lyF2/gOBF2jw4nU5effdDTOYEkBJNeCS2yurxV9gcxCck0rvvxTRpkAzUdIXJzctjxswvad2qJf2Gj6whrDyCaMn82Zw8cZIJY68hvkrnBMZjACxZ/Atbtu1k1HU34ggzeefjwNYN7Nm9B1frweQXWpBSsvf7T3GYGlGel0lUagYte3emYc5yxl57LbbifBKSkijOyeK60SMBmHLbJF545TXKbC6Ol1SSU25j9Q8zGTx4EO+++jJfT/+UR//xLMkpDRAaDdvWrWbChJs5evgIjzzyMN+u2EJWcQXZezZz/MghwnAxaPgIsjMzefPlF9i5ZTMPPvwwTzxwj3dhH0ywBVoVPPMULKbk6LFjzPzyK26fNInY2OrrPJ+hcK3k/Xff4R9/+ytWqxVrSSGlTg2JsTEAG6WU3UN+ABQKhUKh+BMghLgvosNVUw2Nup51X6UbPsWeuy9FSnnqHAztguYPIRTg9MSC7y742tUrqSivYNDQYd5jwcRCmc3Fpx++x113TKmxkP7i+5/oP2AAqWZ3/IFnR9mqMfDGW29z08TbqoKT8QoFgLwKG0u++Yx+Y8aircoU5BEHHr/7SB18+eE7TLnnPu/YTOWn/IqclYlw3v5qNlGRkd4xORwObrhpAtHR1dYDq8aAxWLxBtuGwvN8ZWVlzPjiS8I1Lq4bdzP6qvoKgXO9fNkytmzexKjLLqdteiM/EeOIb+p+VkcYh09m8f2XM2jdrReJLTp45yCzyMKS778iPCYebdMu3poIOZsWoo1pQmm5gYr8kzTt1g3D4XnkblzEgT076di1O0cO7EdoBMVFRTz42JP89am/YHEKryj7ae5cEqNMzPvuS3Zu2cjRg/tZsHYL0TFmerV2j23T7oOYY2O59qoxHNq7h+gYM8+98QHdOnesIYpKc7K449ab2bFtCweOHCMp0uB9zwMJTHsbbI492Gw2Xnn7fUZddjkZzZvXsNSUl5fTpmVzpMvF8axTlNlcLFq1ngmXDVJCQaFQKBR/epRQOD9cMK5Hubm5/Lx4CX16XUR4ePgZ9xOYsvKi3n354J03/YRCXdcHpsJvmppI5qF9pHbtUiNtpla6qhbl1RlvPCIAIFwDydEmv2OeXPtRei0b1q6hT7/+QJD0mVXMmv8Ll/TqQruuPXA6nWzaup0l67cyd/4Crr/WXZDOs2Ctz9xZLBa++vY7rBYLY6+7FnOYC5wVYHEH+nqqEe/ZvZv58+Zycb9+3Hv/A+6Lg4zPqjEw+6c5bD9whCHXTKTQ5mJ7VglZRVZsFWWsmPUZDboNoigsAaosCTkb5mFMaEhMekvigYqSFGLy19Kndxf+OX0qAMeOHGLJ2k18Mf1T7n7gYTQaDRafRFFHDuylvKQYvbOSn76ZyQ233cXnC1eh0WgoKirk8uvHM3bcTVSi4e233uTGyXfz9acfsHrxQppktAjqknYyN49mzZuzacM6Dh08QHSXrt45gbrdwYK9f1aNAYwG7r3/Ad55731KLDYSk5M5evgwDrud9MYNKcjPIzoqihMnTmCONDH17ffpOUJlPVIoFAqFwoOtogRX4dmv7VVl5mouGKGQmJBIWqOGzPzqa/Ly8rht4kQ/N42zwWAwIKVECBHSmgAQn5BIbs4pIhul+i34enTvxrvvf0C3rl38UqIC9OrSgUObV9Pxor6U2Vx+aTLNRh25HdsQVngSc3yLoCkzE2OjKSsr83M5CmTclaN4+b1pLNuyG41GQ7dOHXjg3nv8ajrUFsvhoaioiO+++Rqt08bVV15JfHxc8MrSh/fy5ZyfadyiFfc94B/jYdVU1RmosiiUl5fzwttvkNi6K11HXceu3ApvLMau7dvI2bUOc7fRFFoASyUueyWF22aT0GEAjVo09/YbdmgpY4b1I711O/oPH8myBT/RJL05n3zyEQ88+HANC4mlooLlC+cx/o77cNjtJCQlM+LK67ztYsyx3POX/2PnmuWsXbmcSXe5LTYv/OUhUhs1JkyvJxg/z53D1zM/B2Bgv4spKClDo9HUqyJz4PmKigr++8Y7HD9+HFtlJWvWrqFxk6Y8+/e/IjSCpk3TCQvTs3njegAaNGjABx99wptvvMb9d9zGlHu213o/hUKhUCgUirPhghEKCGjZogWNW7WnsrKSt998g/sffOi0u/HNbe8hIjIKbBVERkXVem23Hhexcf060huN8TuuqyxB47DidDrd2X18dpd7d2jBa+9+RM8e3THq3AtpXyFwxYihfPzhB/Tp3BbAL5sRQIzZTO7xwzVEgstkxtOLAB6+/WbvcQBspX5jDJZNx7Nw3XM0k/nz5hERGcF1Y28gIiIi6KK3OOsYM76fS2xMNPfcch2aqASsIQLBXSYz6zdt4ZdNc7nkups4UoE7JqNKJKxbNAcpXcT2uJKcY8UA2EtzsR5dQZPB15KcmgBAQ3M4Reu+5/qrh5PeojU55TaSG7izBG3duI6tG9excO5P/LTwF79CbzM+fp+rb56EEIIwvZ6W7Tuxb+c2Wrbr4G3z9n+e47vpHwHw2ftvU1FRjtXidnvatHoFgwcN9LYtsjowG3U88ZeneOIvT5F74gjjb7yBd99+mzvuustvnn1dz3zjEjzvnyvczMefTuOOKncyjUZDdEwMcfHxaMMMlP9/e+cdHlWV///XnUkmk2QmvdIhoffepRfpRUVQumBvq7uuv9Xtu9/dddeygiIqoBQBadIElCJIk947BBNI75NJZjIz9/fH5E7utCSgrJv1vJ4nD8m555577pnR5/M+51NMzs9u1NgJ9OnXn9Mnj/Pxgvm8+NLLTHzwQSY++CCnT58iOjqaD+a943P9BQKBQCAQCH4otUYoOJBcO+JBQUEMGjKEzZs2Mmr0mB88dv3EOLKzsjD6EAqeFZ+zMp1VhpUdZMX469+nFzu/3MTQUeMA3Pz0G8aGc+XwLpq360QIHka7BgIc5ZQX5hAe4DxpUKfarBMRyr7MzBplOKoKTWmBy2VI4eKlS2z/6mvqNWnKY3PnUmqXCFW5NynPLDaZWLVyJQFaLTNH9CVYHwRWEzZifJ5U3MzOZ9Pnq0hOasLMJ5/jWHox6YVOV6ObWQXc2L2G2FbdsIXWdYkEc+ppyosyqdN7EgH6YOpFhhBnDODGV6uYNnEcbZo7sxpF6AOY8+TTxCbUYeeXW7h06iiJTZphtkNYgDON7YpPl9C7/0DqREe4sim17dSFM8ePMOqhRwA4fmg/N69ccM152579BBrCKS4uIiAgEIKNLnGgjKHGarVy7uwZfv2rl1n00YcYwyNo26Y1Lzw1lxbNm3v1Vwsv2ZTLE888R2RkFFEx0Xz4yQqatWjpOmmSZZmC/Hwio6I4f+wQAHOecp6MLP74ozv41AUCgUAgEAjunlojFDxp06Ytp0+dIiUlhUaNGt3RvZ6nCgkJiWRkZNAkKcmtn+fJg1e7rsLNprSAFk2T2PrNQQZVnCqoGTdsIG9+uJS46CiiIyvdchRmj+zLO2//g1eenOVy41H6GEIiKC3IoazMgl7vbpArYsJzvOooLS1l9aeLqBMVxguzpiCHRAI2tDp38VNUXMyq9ZuQgEkPP4zRYKgy01JWZibr1q4lMiqSaXOfRKfTkW4qd12/euN7bn67icYDJlJsDQQgtn4Yafs2E1GnLhG9HyA6MpiujaMwOEo4smk5U6bPIjwm1jXGiaPfcfHsad772x9cbTvXr2R1z+4MHzOe9csWM2bCA0TVaeC6HqbTsHnVMv7wT+fu+94dWwkM1NGoWUsaJzdl7YqlFBUW0KJuXfQVMRyKOFCLBOV3o05LXFwcU6dPJyI6lnETH6KgIJ8Thw8wYMhwjh0+QJ3ECve0iloaZZoglJxYe09coH6DBvzz3ffp2buvl9uUJElERkVh1Gnp3rM33XtW1rzwdI178fnnvD4HgUAgEAgEgh+DWisUACZPeYQ3//kGz73wIoGBgV7Xa1JjwWR1YIyJ59jJ0/RS1SDzJxI0Go3LxUipwqwEso4fO4b1X2zkgQnOIFNHiFMUSJLEczMn849/v8cvZ01C5zHXYGDSwO58smYjMx50d2vSmAuYPHEcK9asZ9ajD/uck/KcqtKkgnOneufXX3Hp0iVmTX6IGHs+lBbiqBAniujJv5XCmvUb0AaH8fCkh9yyKTlCItxORGRTLnsPnuD8tZtEx0Qzc/ZsgoIqC40VlNnIMVtJPX+S0osnaTZiGpJGC9ZSHOVWCo5tJLl7P1q0bAE460cUXz9NfsZ1nnjuFwRUrFWx1c7ObVvIuHWLS6eOup7fb+Bgxjw0hfiERDas/owpc59Bp9NRUmLi+uVLXDh3hgVvvUH6rTR69u3P1g1rCYtJoEO3nrTv1oOT+3aydsVS1/dHiRMBfJ4kKHMxGiL4v7fmu/5urtPSp0c3Fi54H5PJ5Oqr/g46giOc6WrfX8ijMx+jd99+buOq41cEAoFAIBAIfmpqtVCQJIkHH53Bx4uX8MTcOW7XFFcP5V+1YFC3GXQa5LBwiooK/YoDNUlNm3Hl0kXqJrdwtZkIxKDT0LBBA7Z+uQ2z2UxIiHtQc6CliLlDe/LmgiX8YtJIr13k+nqJeNnMN7t30a9rezBEu67F6iUkq5mMG5dJaNzM57z8iQSN2VnU7ZtTlzhy7gp9Bg1l5MD7nHPLcqZXVWZy89I5Nm7eQmSYkcm92hFWryFobG7F0hSRUFpayprPllFsMjG4/30MHTLYq2ZAsdVOVomVI19tpsSuoe39D5OWbyY3vxRLYTbF53bxwMy56EMNJIbrcTgcnPxyDc2SmzB07hMuwzm/tJwliz6mfbu2bFq1lO1ffgnAts0b6X9fX5au2YDFVEi9Bg25fP4sq5ctYdPa1ZRbrRjDwjEYDCxYvJRNK5eS3KY9N2+l88LUBzh78iht23dk1YbNJDX1XldfbkeKO5KnQX/o6DHe+cvvad2mLc2aNnWua8Xnr7ibZRSamfboIziAWXOf9Pl5VUdNvqMCgUAgEAj+e5Ak6UNgIFAHMAEHgF/LsnyhmvsmAn8CkoBrwG9kWV5/j6frhv9k+rUAk9VBVHQMsixjsjr8GlG+RIIaY5CWmtaT6Ny1O4cPVlbELbbaKbbaMVkdlGmCeHTKZD746GPAaRyqDfhIYygPD+7FW6u2YrN77xwP6daO7LwCdh0+4XVtxoNjWfflTvbu+rpGc5VK8jlz9DDvL13NvCWfERYg89KcqXRt3dwtfgIg9eoF3pr/ASePHeGJoT2Z0rsd+rJCbDkZYMp19TWHxpNabOP9pav5aNlKRg8fwjNzZtKiqbfLVrHVTkZBMesWvUdi42Ra9BxYObe8q4RknWbKUy/QuE4MbRPDCA+QOb52EYOHDGXo4MGuvna7nXWL3qNL7/u4r1dPWrdu7bo2fNQY3nj3fWSHg2/37uGZGVOYM2UiUdExfLn/GDezCzl77Xv2HT1F6s2b9L6vH63bdWDtpx9zeN9uWrTtQE52Nr9+6QXOnj7let7xo0domRDOt7u/BiCrxOr6AfeThvLyclomhPPA0H4UFRWydMVnrmvqk5dPl62gUf267P1mDx8vXek3Ta36REMgEAgEAsH/BEeBGUBLYBjOPDRfS5Lk7Q5TgSRJPYFVwHKgQ8W/n0uS1P1eT1ZNrT1RUIsCY1gYhYUFhIdHuLLMKMHGVYkE9fUgreTmjuQPnU6Hw+EgWCNT6vCuUGwIj+G+wcNZvnYjEx98sDK/Ps7FrgdMH9GPf362mRceuh+9RxrOB4b1Y+vew6zftpPxwwe52rVaLc/MmMyRU+eY/977RIWHMW7YQAyhIU53IIeDy9ducPzwQUpKS7Gbi2nTtDFzx/R3xkwYoqHC4FcM/6zcfFZt20NcVARPDe+FVJwDxTn4evvrWUVs3L4OhyaA+0eNoWGdeOd6VmT4Ua9BsdXO8dNn+XLLJnqMe5QCeyDpBWWk5ZtJP7mPGEMQvSZNIzFcT6tYA4UF+WxZ9jGPPf4kxrBw11gWi4UP332LiVOmERvnrBr9+u/+gL2slHfmOd1+fv/b12navAVdevZhxaYddOza3c3YLi4qYtHC95k26zEio6Ipttp57Z/z+GLlpyTGxpB9O435b/+LEQP70qZde1KuX6eoyBlg3bx1W1dNC0UkQGWdC0tZGR0aOefVoGEj+vTpQ6hkAyr/uz9z4zZLl3/G2+/Oc7W9/srLvDl/gY9VdqfYahfCQSAQCASCWo4syx+o/kyRJOk14BTQBLjk57YXgN2yLP+l4u+/SJI0oKJ98j2aqhe1pjJzx06d5D37nDv5iiGvGPZXr1zhyo3v6dt/gFu7Gn857hWh8PnqVQwdNpzw8HC3Z/ji+rWr3Lh2lUFDh7u5oBh1Wtezt27ZTFxcHF26dkPvsBCQm+KqpAxQZCrhnQ+X8sJDIwgOcoqFgJgE1/XDV25z6sIl5kye6LPwV25+AZt37sVqLUdGBl0ITevG0jUpEUNIMLacDLfxnAvjdGfKyM7h83UbiAwzML5zCwLN+Viysr2eoYuN4XChxInrt6nfsgMDR4yhzKFxGbAxAZWBykoq0MLCApYtW4Y2qg6Nut5HRpGF9IIyZFnm4JY1NE5OplOPni6RUJTxPTs2b+SZZ59zizNJzcxmxeKPmPrY4y7xoKyvzlbKG2++zcgJDxBfvwmmcpVoVBnWhdm3WfXZZ0yb+zR6vR7AVbEZQGe3sHzhPN598w2CQ0IoKnQKhBd/9SpzXnzFte5K/6wSK3GhOiL0Aa7nfH8zhY8+XMii9/4NwKmjhzl+4iRXrl5j+46vyMjKZOK4ccTXb8jePbsxmUr498LFxCd4fDYqPN2aqhIL9aIMojKzQCAQCH72SJL0XGDjAe8ExLf5wWNZzq/HUZQWL8ty1o8wNTckSQoF/gxMAJrJsuzTQJUk6XvgXVmW31C1/RJ4Rpblhj/2vPxRK4WCJ3m5uez95hsGV6QmvROhAE4j98rly9y+fZt+/fsD1fuCv//vt3ni2eeRJMnvzu+niz6k38DBdE6u5+7uUyEYTOZS3v50Lc+O7ENosL7SsK8w6G+k3mLlxm1MnTCKeonxVc7HhSnX6TJUgTKmw+Fg3/mbnLpwmZjICB7o1wldYCC2nAwcBVnkn73suicwOoytJ6+QZXPQf9hwOnXrgS26EWWaIFcWI8VoV5/KrPtiEympaYyf9Ajfm2VyzM5d+LTcYg5tWEbTrvfRvp3TdSgmREfKiQMUZ6Uzffp0l1Fu0Gk4e+kqWzd9wZwnn/EKUjfoNHy08APuHzmS8Ng6XkJNITRQ4u03/8XzL/4CsyrMQOmfZ7Yy73e/5PjR71i2fAVNmzUjPy+PXXu/JSP9Ns3adiQ4JJR9u77iwtkzbFyzksjYeJq3akN+dgayw0FYWDhpqd+Tk51F527d+dWvfsXcWTPp26c3LZo3p1eP7vQePNwrC1Z1363qAprV7ymEgkAgEAgEIElSYyk4+rq26Uhn0pS7xFGShSP9BLLp9uPAXNWlhbIsL/wB83sK+AcQivMUYZQsy1er6G8FHpNl+VNV2zTgQ1mWf1il4Tug1giFzp06yrv2HfB57cD+/URFRdGiZUu/91cnFBwOB58uWcyMWbNrFDB69fIlrl65zPCRo/32kWWZJR/M4+Fxo6hfr55XbABAibmUtz5ayvOzHsFoCPUaw263s2rTdopLSpg6YRQhat92U65b0DNUZkACKCgq5sCxk9z4/haSJNGna0fatmiKVJIH4BIJlqxszFn5FJdZ2XzuGna9jvGDetJk8HgcIRGYQ50iRZ3qVNllj9AHkJOdxfqVy+k3eCjNWlbGEFzONZObmc7O9SsZPmkaYZHRrnX5as1yEho0ZvDAAdQPc37fDToNpw/v5/i5i0x8ZIbbSYoi/jZu2UZcVDg9evZ0uTkBblWtTVYH27ZsomPb1iQlJ3t9ntdSb/HinOmUFBXy4q9epX6dBDp07EiXDu1o2ao19evX5+uvvyYnJxtLWRlJzZpz7fIlImPieGTmbFq1aEGkMYTMjAyat2hJi/ad2bNtM7fTb3HsyFFWLP4Q8F8xvKrvV1UiwZcYFUJBIBAIBAIn2rrdZOzlaBM73tX9ssOO/epWtA37UX5+je+KshVIkvRn4DfVDDlAluU9Ff3DgTggEXgZqA/0lmXZ7Gd8KzBbluWlqrbpwAeyLOtr+k4/lFoVo+ArgxHA1atXmDzlkSrvVWIW/I2riIWaZpVJbtacvXt2YS4pISTU28BXDNuXnprLO/PmM3H8OBrFGL1qH4SGBPPS3Gm8vXQdD4wdSVIj99MkCZgybgSFRcUsXv0FAQFaWjdLpl39aMIMoc4TBH04ufmFXLqewqW0LOwOB7IsEx4WRs+unRg2YhTaUqdbjXKaoT51SMnOZ9PBMwQHBvDggE7ENayPrsMAbNGNyLEFgsogVyPLMn94bwmtIzTMfPJZt8rIAGlnjpB18yqv/vrXrl31jPwiVi36gKFjJqKNSiCrxOpy5dm++hMAnpjxKGUarVtVY73DwrnrqeTl5jBwyFC/IgEgUC4nLfV7ho8c7eamVl5ezuBBAzl1/BgAQXo97897B3NxMWlpqQwdNpyZjzxMys2btG3XjpCwSFp17k58Yh1kWXYJF7WLmcKYcePo1L4t3bp19ysQwFskqE+j7lQkCAQCgUAgqMRy8wC68DrIkY2R9BF3fL8j6yxSeEPKz6+pSfe3gWXV9Ple+UWW5UKgELgiSdIhIB+YCCz1c28G4OmnHAdk1mRyPxa1Ryg47K50k3p1ZWNAspb6rKOgNjSharFwNzw0+VHWfb6KJ+Y+5veZGo2GF559hjff+TezHhxDdFSk83VU2ZACoyN4+ZVX+WzVavYdP8eUUYPRqYKcHSERGEMieHr6w5SXl3PxWgqb9xyi2OwUoQFaLdEJdWnWpCE9+vZDY4xxGat6hwVJSdOqcksqt9n4+sgZrl69Rp0gLdO7tSZAqyEkWI+uwwBMsc1JN5VTUFa5XkoQr1Gn5fKNm8z7cAl50e1pc18PTDaIqPg22Ww21iz/hIZNknh4+myXkXvzdiYbli3msSeepFyrdwUIZxeZWbfuUwZ3aU3npLo4KqpIK8XK9A4LJpOJrRvW8MxLr1BSLvsVCQAb1q/j0cmVNSeUa1arlXCjkUZNkug3YCCv/vaPGIxGDDoN+/ft48CB/SQnJTF82FBXzEWRxYbD4cBcYsJgDHMz2DMy0vl81SoOHNjP0e+OEBwSzDPPP+/3++JLJKj/9Yc/kSBqLggEAoFAUElAQADaej2wpx5EmzzcZ4ynP+SyQuSi77EU3K5Zf1nOAXLucqpSxU9VLkQHgSHAG6q2IThTq/7HqD1CQYUiGJRsO9qAAMrLy3+QWNA7LDVOkapgMBrBZnXbbfYVHyFJEs89/RRvvvF3Xn7mcbd5Ku8gSRJTHp5EVnY2C5avJTw8nPFjR2MwGCrfNySCQHMBbVs0pW2Lpl7PUYqhqUWCy93JlIsl8zYnr6bw3fmraDUaBnVpy/09ncdzjgJnvI4uuR226EaA071Ine0HoEW0nm0b1nC7wMzvX3uV3dfzSC8oY9nRNIa2jMOel8H2jWt4dNoMYmLjXPfdTLnBl5s28tgzLxIQUFmfIDv9Fru+3sALTz1B3aByV2YmNRe/T2fDquU89/RTFessuxnPnmteWFBATGysl2EeGhrKxi1bvdpNVgdnz57lxZdexqBxGt9fbNhA74FD+ctr/4/li5wuiW8tXMLQUWMJ1wdSVFREi+QkmiQl8dvf/5FevfrQrXt32rfv4DX/H4qvGBghEgQCgUAg8Kb80ka0cW1x5F5CG9Oi+htwekjY0w6iqdvDpy35Q5AkKRnnycHXQDbOBJi/BizAZlW/ncB3siy/WtH0DrBXkqRXgfXAeGAA0OdHnWA11BqhIDlsXv79Ck0aNyb9+iUaNK+MdK/KhchTLGhKC8i3ShjDwu54Xt26d+PId9/RrXvVaW0DAwN5fMaj/Gv+Ql588jFX9WJP4mJjeeapJ8jLy2f12nWUmkvp3rYZndq3JSAgwG9hNbVAgAo3rZI8zp08xuFdX2EtL0cuNdG+cR3m9GtHQJTzNMsVQB2TAIZol0jQOyxE6APIKrFyJr2I1vEG9n31JftuX2BE786MHzuGMk0QUSE61p7NIL2gjAWfrKRZuIZpT77gVlDuwsmjnD1zmsefeQ5TucMlQC6ePErOjUu89PKvCNMHQEmm6/2UHf092zdTXFzMKy+/hEXr7ZLnKRJysrOJjo6p8rPwxFxSgqwNpMyhISAggLKyMlZ8toIz585TWJBPvQYNmfHEs7z2i2d55dnHiYyMxGh0fldCgoO5cf0aI0eNplnz5n6f4e80oaYIYSAQCAQCQc0ounEIQ2wDNGH1kXTe7uGeyHlXkPSR2C5vuhfTsQD9gZeACJyuQ3uBnrIsZ6j6JQGprjnJ8gFJkh7GmSHpDzgLrk2SZfnwvZikP2qNUADc0otCZbW4FvXjOHrhCs2aNvXpH+55qmCyOkDnLhaOHDtO707tXcGwXv19YNBp6NipM4vee5f7unYA/AewAkRFRvDEzKn8a/5Cnnt8FiExdf33jYpk1vRpyKZcTp45x+IVq7HZbGi1WkJDQ6gTH098XCwBhiis2iBKyosw5WVz/fo1HKUmsJrRmnJpHmvkoS7J6HWBrhSo5Tm5LqGgBEMrQcvqNZFlmdRrl1nyyRfEGzS89vgUhgxu7fwcclPQRzci0RBEz0Q9/1j1EZY67bA1b8fFXDMxIc40onu2bCDCGMLM2Y+51jGrxMqBHZuJNoYw67E5XlWqHcERWCwWFsx7j/sGDGRUp/b4chjzdXqzffs2Ro0e47ru77NTuy5t3fQFI0aPIS31e3JzcmjZug0fL13J8888SZ169Um/fYu69Rtw9GoapWYzBfl5mHKzyM7KpDAnk6nTZ7h2IPzF0QgEAoFAIPjPEBoaijaxC/ZbhwloPLDKvnK5GXv2BYqyUu7JXGRZTgXur0G/Rj7a1gA1Cpi4V9QuoWCI9hILAHWNOrampgCVgcm+jEjXMD6updy8ycD+/bD6ue5vDEmS0OkCXa5P/mIgFPehiPAwnnvxJea9v4CJ48aRlNSkyudotVo6d2hH5w7tXG2mkhJu5ZeSmZ1FeeEtZFnGKgUQFxfPIxPGECKXocm6BlQGLTsKsgiKi3UbWzlNUIKWi03llJVaOHlwLznpaWSabeTq43h09kyGtapDxygN5Ka4jXHizHnWbtjI2GmzOZdpITFCT0yIjqggDZ8sfI/uvfsyoHsnV//80nK2r15Kl86daNnOd1aCnNxcPvx4MXOefMZV18L17lWcFJWUlFBiMrnd4++zNOq0fLFpE7u2buK7g/tZ+N67pN++RVx8ArLDwZBR45BlmW/37OT86VPk5WTTf8gw7HYbRw8doKy4gL69etBx3Bi3cX25tvmas1GnFacEAoFAIBDcI2zXtqOJSsZRcBNNhP+yA/Zb36FN7ITRaPwPzq72UGuEghwQhC26ERpV+k8ATLlIAFYzmooqwWpDraY7u7Iso9FovKo5Q9U70wADBwxg567dDB821OuaIhDUhISE8MtfvMja9RvYuXs3Ux+ZQrA67anqXvW7Km45htBQmoeG0rRpsu97KkQCOMWALScDTUScWxuGaBwhEaQXWzm2ex+nLl5l9+VsoiJC6dlvAC2G98WSXkQE0DYxjI5RGrd3sQeH89mq1ZjRMXTqE+SWltOpYTAxITo0JXmsWfoZs2bNRhcWRbqpHKNOS0q+mVWLFtB/yP3Ub9TEFRzter/gCC5fucKWL7fx8ovPO3fpVZ9HdRmpVq5YzsOq7Fe+RJsy1u20NJ6e7ixs+Nof/0yPXn2p37QluqAgViz+kAtnT9OuY2dCDUaGjx5HZFQMnyx8j/DwCEaNHEH9hFivsT2fUd2chVgQCAQCgeDeoa3bDdvV7UjGRCStzuu6o9Dp6WO7/tV/emq1hlojFGyy5DTAQuPRB0c4Kx1TWQtALjO5jGqHKitSTVxBHB5ZlKq7x3OXOqlJY7Zt3wH4Fga+kCSJUQ88TEFBAe8vWUazhnW5f9gwVxpRdRCy86HRaMwFfmMU1P09C665Tg5sdk5fvs6JQ5ewanTIgcFExNchPqkl2uCmZKRexBSsR87UUB5SBMCg5BhaxgSDyujOLIWP33mPUQ9PxxJeh/PZJte1W2ePkplyhd+++gpardaVxjSnqISl77/DmElTiYqN8xIJAF99vZP0zExeePYZtGWFUFEoTe8Rf+GLmzdvojeEo9EbnPdUBHIrqD9jg05DYt1Kt68GyS1JatPB9feIyTMZoR772hWO7N7O5JmPkRAZ7io0p/CfcjMSAc0CgUAgENSc8jMrCGh4H470Y2jr9XS7JtvLsacfJyPl/E80u9pBrREKdoesqgocSEx0I5dYAAgLDSEtPZM6SRE+7/d1UqDGanHPXnQnlGmCCNIHYbfbqc5pSTFYlWDdiIgInnr6Ga5dvcr8jz9Br5EZcf9wGkRVH3wT4OEGpHbLstsd3EjP4uKpq2Tk5EFQKFqNljYdOjF5zgQceucRm8nqYMnxWyzbeJ4b324kQG8gK7kTqTcTmNDf3S3KbrezcsNWSsyl/OKXr1BAMKlFFmJCdM4iamtX0KllMnPmzEWrrVyJ/Nxcliz6kIdmzCXUGOYlEmRZZumnn5CUlMy0RwbVWGwpFBcXs2z5Cp79xS9dxrMPHeJsr/geSJLExEmTWbvqM16cO4Ow8AjadexEmw6d6NKzNwlNmqMPDgHg/JH9zH76ecKC7uw/l5rW5FAoKLP5FFDgO0WqqK0gEAgEAkHVlKd8gza8Po6STDQVBWQBp3iIbUl8fHwVdwtqjVBQ4zQGK8QCAK15oLuRdxZ/xgttfGcf8iUS1GlEe3Tvxt4jJ+neo4dXv5oYfM3adODYhSt0a+M7FZfyrMrqxk53HCVwOik5maTkZCwWC9u3fcnWTGceX6m8FI1GQ2REOPGxMURFRhIUpCO4OB25IJe8IhOZ+YXklkuuugoAGkmiSf069OzVh/jYyoBlJTuSstNfUGbjyI08cq6dA8BWZiLz7F4yz0JI2FQSw/VE6AO4dGQ/F0+f4KERg6hXJxGzLpTiincxl5jYvOwjJjw4iVZNk9ze+/LFC+zZ+TXPvviyV0E2cNZc+OCDBYwbM4rkpk3BYXGJKcWVrKoKx2VlZSx4910ef+Z5NBoNRl3lenvW21DGA7CZi+jV5z7++sZb5BabKSws4LsD+zh6cD//+vPvAPj1H/+PDl26odFo3USCEgxfFXcqEgAvkeBLCNQkfkYgEAgEAoETSZLQ1uuJ/eYepOQRSBotjpJs5LICbFnnfurp/dcj3WntgJ+KNu07ymt2fOPWplTIVdxAdu7eQ0R4OJ07eQfJKsaxGrXRJcsyH7z/Pk889RTgbuhVVdxLIbe4lHWrVzJn9kyf8zdZHRxLLwYgLtRpzSoViZUxfc1P77AgmfPJLygkIyubvPx8yrNuYr55hdK8fOLrJRIXYSAuwkh4YoPKdKcV2YwU1CLBWUjNmaI0x2xl/hfnufD1VmxlJjzpM3YgMfnnmTRyGIN7d3OtdY4tkGKrnVPnLrB3x1YenDGHhMgwt/fZvWsnWVlZjJwwyW0dXetaVMjSjz7gscceo2Gd+CpjCjzXEsBisfD+v99i1uNPEhbmHvTs6R7kWXtj4acrGD/xAaSgULd5GXVaysrKeOXFZ1m76jMAGjdpwr6jp12fu2dWLPWc7hRf7kN3IhAiDCHHZFnuclcPFwgEAoHgfwu/Rq22bldn8d74dtivbOHiif00a9asqrHu3MXkf5BaeaKgUGy1VxSjCsSg0zBoQH/efnceMTHRNGzQwG1HWtlBVxthinFn0GkoKZep36QpK1auZvT4iS4XJLUhp9yvNhSVMZS6CB8tWsKIMWO9DNdj6cXsuOAsatapYQQxIZVBNVX6nuuCwJBAREgkUZHOQG5bSjmOmABXulPnTcU4grNc9RA8Yxl8iYQz6UWkF5SRlZLhJRJkhw1H7mWObLEz7ZVfEFgvnnRTOYkGxXB3sGPzF+SbzDz6xHNEBlcWKJFlmeXLllKvXn0mPTzZtUbq4N2rly6y56ttzH7qOaLDvN2sqnITM+g05JdYWPDu235FgjKGp/hQvhPl5eUYjUZMVofX+uv1et55/0PqN2jIzh3beHTqVDdDvbrg9h+C51yqOkH4MauMCwQCgUDwv4wmtjX2K1uxW0uQwhpUJxIEFdRaoaBU9s0qsRIXqqvYnQ/k8ed+weKPP6Jjp0707NDG7STBn0+3cr3fwEFcvXyJ+W//i4mTppBYp45XZhp/vwOMmvQopuIitm/ZTHFxEU2btaBX3/vQarU0iw6Bls7MQ54nCjEB5WhKCryCdhUjUTEIHcERfovOBcXFujIbKacHahSRcDnXTI7ZSnphGekFZaTlmzHn3nLrK5fm4ShKI6HvLJ6aO5jEcD3NokNcIkkqL+W99xfQte8AuiW1dLnMGHVaSs1mPl74Pg9NnECTpCSfBvWOLRspL7cy++nn3WJCFMO+KlcjcMZKfDDvHabNesxNJPgyql3uZar1UGIUqjP2Zzw2ly83bmDb1i1MnPgAMbH+Mx3dLf6+k9W5GAmRIBAIBAJBzSk/uYTA5mOwZ5ykNP3MTz2dWkOtEQpaTaVBqeyIA+SYrZ49eWjabDZ/sZ7s7Gx6DfBOWVoVyc2a82RSMmtXfYYuSMfYCQ/6TGOp+Pcr82gW7Qx8TYyO5MHJzhSdVy5dZPkni5BlmfCICNp2640u3Fk1WC0SAnJTwJSLxhCNPrqRy/+9KmPQkpWNOSufkLhIADQRcQTEJOCIS3ITCYpQSi0qdbkapReWceRGHrn5pZiLLJTmZwLOkwA5/ypoAkme+BqvTO9ETIjOJWwAzpw6ybff7GHG7LnYA/UuwWbUaUlL/Z71n69i5pwnSIh23+UHKDGZ+GjhB/QdOJjmrdq47lOjjhtR/60Y9bIss3D+uzw0ZSqRUU73qqqMauX0Ry0+ii121BrB83RIaTPUTWDtFxuZOX0qyY0bMnPWbN7697s+n1OTAn01oSYxCEIkCAQCgUDgkyrdhcovbfxPzeN/hlojFMBpVKYWWVwGL0B6YZnPvv3uH8OlE0dYtPB9ps+e60o7WhO0Wi0PTXmU7LQUFr//bxo1bUn/QYMpsTld39T+/eo5NIsOcTP0OrZtRdPmzuDm/Pw8dn+zl9xsp/uRPkBDpF5LA4OWOnIxdWOjMASnE2jKJSTOPSC4OoLiYl0iQUEdPF1QZuN8tsntFCE3v5SSAjP5qalobYVYcq6AvZyGQ+Ywe1p/2iaGuZ186CUHny5aRN169XnyuRcAp1hSBM++PbvJunWTV371SzQab9ecE8eO8t3BAzwyay7BISFe76B25/JlCCtCbd3SjxkzYSJN6ifWeH0852IuKcEqO/9f4ulSpEbvsJBcJ5ZJ48dy5PBh1ny+2kso+DLs71Y0+BpLiAKBQCAQCAQ/FbUmmLl9x07y1l37gMrdfKh0PfJFhD6A7KxM1q74lGeeec6ngVoTrl6+xI6vvyZIr6dD7wHEJdZ1ux6hDyDREOjnbieeBmNMQDn225e5eWw/aVm5pGXnUlJaaRRqY+og6yrnq9VoiI2JJioyAjk3DWvaVUpz8ygPDqFUq6csNBp7gB70BjQaDY4gI6FRsZh0YVgCgrn+/S1upKRyK+0WDruNEnM55RY7dm0kusi6BBiiMUaF8vTYVl6nCPm3Uvhqyxc8MGU6Des404gphrvNZmPD8sW0atOWQf36+nzvDWtXYwwLZ9CQYV6Bw2r8CQXlVGT3118RFh5Ov97emalquu4K27duJif9FhMf8O9SpHdYKCoqYu2GL9j29S6+2LCBHTt3062778xaNX22L/ydJPiq16Bu04dFimBmgUAgEAgE94RaKRQAr8BktXhQUHznS0pMLP3wfSZMnkpcfEK1z/LlN15stZNRUMyhPTspyc0iMszAwCFDaVwvsdpdX0/3GcXdyJbiOy2XoyDL6UrUqLUrKNkaaCArO5v8/HwCi9Ih/TpSST6GuDqEN+tAcEwihEYhyzIlcgDXMvM5duV7Um7d5lZmLpYAI0VaI/rwGDQBAeTmlwJgLnLOvX7DCMZ0qEOrWIPrlCCvpIzlSz8lISaKYaPHedWYuJ2Wyvb1q5kybQYxsXFu1ww6DXa7nYULFtDnvr40bt7GbS19rbPaWPY0kC9f/55vdu/0m1XKF56uRJ5YLBbWrV1DcVERQ4ffT6NGjbyev2TpMsaPGc3Rc5cZOdzpxnbj+zQio6Jq/OzquJuUp8r8hFAQCAQCgUBwr6iVQsHXznOlL75vo91ut7Nx5VIS6tanZ/9Bfp+jzmWvGLKKYasUxDLqtASV5vHV1o1k30oluDSfod3aUa9ZC7cYAXVKTvVusC+R4CjIcsUdKET36UNAo9bYohu53hEgpCTTq2qzZ/rTy7lmzqQ7qyunFzhdo9LyK+ssKEKhfZNoOjWMoFWsgfphQa71PXzoEIcPHWTsQ1Mw68K81un4NzvIz81l2rRpaDTuhq5Bp8FkMrHgvfk8Om0aCQlONyHFePYUeer7FJTPtry8nMWffQ6SxKNTnc+qSbVt9fP8CRAFq9XKl3u+5WZKCkFBQdSpW5fM1BQcdjuxsbGMHzuGN+YtIPX771m44H0efGgSHy5aXO1za4ovlyeoWcVnkR5VIBAIBALBveJ/Tij4ykuvPmm4dPYUR/bvpVOP3rRq3wnAFZCsdrfxLH6lFglKjn5NaQEacwF5546w8+hZsqUQCAqhTaeutG/bFqPGWZBMHVysiARHgTNWwZWpqOJvdZBycLPWbqcKjuAI1zPV+KqRcD7buyaCgjpWoWvjKNomhtE50Yhe42Drls2kpaXRpUtXunXv7laYDcBUVMSGFUsYOGgQ3Tt3chtX+VzOnT3Lrl07mf3YHEJU7l7VGdCen2tmVhaLlnzKY7NmYIyr63YNqjakPUVCTU99SktLycrKIikxxq1AXKuOXbh+7RrHTp7GXGqmbdt21T67pvgTCup5+UMIBYFAIBAIBPeKWiMU6jdoKO86cISQ0FCfrhr+jDNfLkkAJw4f4MLpE7Tv2oPYpm29rvuKe/AnFNQ7+zZ9GKev3+L0mXOYzSWAsypg/Xr1aN24Do10ZZRfO+OqgaBOa6omoKIeAuBWE8FXelRFKNwwa2oUuwFwPtvE8ZsFdGoYQXhpDjeP7cNutzN8xEgaNGgAeBed27lrN9cunWfM5GkkRBjdTgUMOg2yLLNh3To0Wi1jx43zemZVBrTNXMTWLZspNZvRSc5+wfpgHn7oAQICAnzWRPB06fKFWiioKzOr768JHdu1oU2btixd8Vm1fX9MoQDOeV65fJl/v/MWDoeD+/r1Z9ToMYSGhgqhIBAIBAKB4J5Ra4RCyzbt5BmzHwMkpjz8EGFhle4wvlxM1O3+xALA7m++4fKZk3S5bxD1k5q5pVtVB/WqRQJUGp5Qabyrd/7VSOZ8bl29yNlTJ7h59SrWzNtYi81IkoQx0kiTdu1omBBLcps2Tjcej6rKlS+U691miMYW3YgcW6Cb25W6toGvdTl+JYUNW7ejLS+lY4umTB05gCBbiZublLJ+JSYTixYvom2HTnTu3tM1jnrs3JwcVn66iBHDh9GyRQtXH8+xPDMCnT93luMHvyU8IpwRI0cRb9T7fncf1FQoqD8rcHcFU+6vLk6ga8cOfPbpItq0bu0lMPylcq0p1QmFffv3M2XqDJ556gnCw8LYtuMrTpw8xYMPT2bev98RQkEgEAgEAsE9odYIhTbtO8rb93wLVjNfrF6BxSExdtx4gsIqg0qrOmlQiwW1W1FBmQ1ZltmyZQtXrl4hvk0P4hs1JTFc7xIKvoxuT6HgTyS4uQqZcrHlZFB6+RzmrHzMGbmEtmhIXkQC35ttpOQUYwuOpFwKoF2LZHq1bUZQeYnrXl844pIwh8ZzIafUrficryxMKSkp7N2zm9LSMvSRscS160lIqIHOiUZn0TdVJWuA/BILX6xbQ4mpmAcmTSHUYHALRFZOEb5Yvx5TfjbTHpmCTud+iqE2nj0/H+fpg4YxY8e52u4kHainu5khUMPB/fs4cewosbFxjH9wEpGhzpMIyZxPVnYOMdFRSIZot0J8Cv6+PyX5WXTr3Im0a5cJDAy8a6HgK22qv5Sop8+cYe36Lzh56hRHjh5j2SeLGdi/n6vP+QsXWP3FFv72178IoSAQCAQCgeCeUOuEgrJDXFpayqqNW8nIyqVH7z60btsOY5B3gKxaKCh4BtIq1y7llPDN7p1k3rxGbFQkI0aOokF8jFtf5V5fO9XgLRQCclMqJuIUCVAZuAxO1yNdcjvXyQA4i4qdO3+eQ98dwW4uIjokkBED+hImeRjRFffcMGs4kOqcR6tYAx2jNGhKCzCHxnPl8mX2frMHh8NBg4YNua9ff+zaIFKLLK44hl71I2gconIzsmvYumULt26lMWHiRK9gZIW0a5fY9uVWHhw9gqSkJnji7zShvLychR8soO9999GuXXu3e+5GKGTkFVBUWMjzs6fyfcoNxoyfwNUrl7lw7hwWSxnIMmVlZRiNBmQZ6tSpS6t27WmSlIwxKobbaalkpN5E0mgYNKA/mZmZxNVtQLcePclMT2fl0sXYysv5aPGSaufkTyRk3LzGa795lbNnzjDlkUdJTEzEXFrKyJGjaNS4satfYWEhb/3tL6xc/TlTH51Cl06d6Nu7N1FRkT7fX7geCQQCgUAguFfUOqGg7HyD0yg3E8iebw9w7sxpAPr26kH7Dh1dqTw9hYIvVxyln/rUQWMxcXDXDooKCzBGxXLfoKGEhIa6+nvGKijzUYzXmABnILNSdRlwCQWoDF5WRIISZwDu2ZI0pQVk5+SybesWTCVmmiZGMmTIUCRJwhES4TpNWHY0zZW9qE76UXbu3ElROSS170bPgUPdAnOVrEg7Ljjn8GiXerSMCSY37Qbrt+5AlmWG3T/CFavguU5FRYVsXP0ZjRo3YuzQgV5pU8H37rpBpyElJYW1n69m+oyZPusX1DToWBl76eKP+Ptf/kiANoD2nbvy+zfepnHdRGRZJiszk5CQEDQaDTHhoWg0GgoLCrh0/SbHTpwk5fpV8nJziItPpH7DRtgtZg4f2E9UdDSZmRmcOHaU6OgY+tzXn1d+9UuiY2Lcnq3GoNO4fdcUQelwOPjza6+wZvVqnn72Wbp3bMfXe/dz+OBBrl27SlFRESNHjWbw0KEUFhTy+WfLqVMnkfn/fps4P/UdLBYLgYGBWAOChVAQCAQCgUBwz6hVQmH/gQOu9KLqTD+KgeZwODj23WFOnzpBTGQ4EyY+gF3r7iaiGPdq1FWMFdSCIiMjnc1bt1NYYqbMJpPUuBGt2rWnXZN6bkLBHBrvyjrUMibYLY2pWiQoKAHLisHv64RCjcZcwLnL19i5/zA6QzjNu/ThdkEJX564wpFzN2lV10iHOmF0DCmhd5NEohs1caVrVRvuxVY7a89msG7PdYKNOnqEZmAsSqNRvbrcP3IkQUGVa6Zeq1JJx5bNm8hIT2fKo1MJCQnxa9j7EgrH9n9DekY6kx6e7FNc+Hqmv3GVsft0aU+fAYN59U9/80rT6isFK7inu1VQu5f5wtNtyF8tCM+Tq3Wfr2LRgnls2LiZhPDKDFDKe6SmpvLlls3s+3Y/YcZQBvTu5Qrg9oXFYqFV+04MHTKYt+YvEEJBIBAIBALBPaNWCQVfJwq+fM0B8nJz2LRhHVptAGMmTCQsLNx1TRELnkan56mDL99zWZbJz7zF+ePfkZWWgmQtJcBWSqvkRrQePJEyfSTFVjuJhkCXqHHe7DvGwN9pgoLalUn93iaHliMnTlNg15BFKJfyHNSJCmFQcgxd5e/BlOsmEtS73QdSC/ho+1lOr/qYgKAg7p88kd89MsRnXIOyBmm3brF09TqG3z+Clq1auV3zhadQOH70CHkZtxg3YYLfe2o6pnrcpUuX8urzT/LnN+cxccpUt/7+CucBfovzVVffQY2v752nUFj84QJOHf2OjxYvqVF9BM8TKjV//+e/+ODDj7mdnk7Llq04eOSoEAoCgUAgEAjuGbVGKCh1FPwZ8P4wFRezcf1aLJYyht4/krr16vsMKvUlEjwNNiVFpxKgrBRNs+SkczEtk/P2MIo1IRTbNRj0Olq3aUP3pASCgoJ8pjVVUISCr9MER3AEOTZvA16Z7+VcMzlmK+mFzqJqbRPD6Ncw3CWEPFOcbjx8hg8WrSLj6vdYpVACDdEMnT2FXw9p5iq4Bu7xBOtXLsOmCWTSw5PRap2G9J24CG3cso3CwgKmTnm4ynv8jetpWKs/M6vFQvuGzvSyFzIK3fr52+33lwHLn1jwrMXgz9D3rONh1GnJzMigc6tkvt69hy5du7mu+aqVoLT5Egrbd3zF2Ace4sDhIwQFBTF+7GhOn7sghIJAIBAIBIJ7hm//hlpATXPgG4xGpkybgcViYffXO9i+dTORUdEMGjqMsLBwn0HObjUSKnAER1SeEJhysV51xkQoBdKaxUXSvlkTNK16Yw6Np7y8nPPnz7H0i+1Yysro07kN7Vu3qlIweKKIBH/Vpn2RY7ZyIae0wugtR5ZlLp47w4kjhzlxq5BrpiDyy2IoDzQhAbYyE6k3vedksjo4un8P586d44EHHyQ+PsG1NnfCoo8+pF379gwcMrTavv5cwjznBZVGvy4oCGNYON169/WZ1UqhOpHg2defC5KveSpzVQSF+jul0zlFnsFgrHI8X++qrvuQkOBc/7DwcL47dAij0btatkAgEAgEAsGPSa0TCiarA3TeLigKvk4LAIKCghg+cjQA+Xm5bNy0GVNxMRa7TPM27WjetgMY9Bh1WufJgYfbh4IjJAKNKRdNRJwrIDkkrjIjjcZc4Lw3MIj27TvQvn0HANYs+4RybQidOnZwEyHqYmqexcCc8Q6+DXNfxjA4az+EB2lJu3qB7w4ewOFw0LptOyZNm0WXAgs7LmRx8ORtslIakHv1OPW7DGT+Y93cThNupaWycd1aBvTrw9PPPOs0jO9QIABkZ2URHh5Bl67d7qi2QFU79r4oLiokNNRAhD7AJQSqMvSrw9+9NRGnyvfPVFzMoiXLWPLhAoYNH06TpCS/9/gqJgfu34dGLZ1FAf/w29exWCw8NmdOtXMRCAQCgUAg+CHUOtejqqiuYrN6p1chz2zl0tlTXDxzCrvdRqQhlB7dutKsRUvC9AGu3V61Iad2PVLEAnhnMPI0LFcvXUyHdm1p19a9ErRnPYCCMhtZJc7Cb+rqykrRNzVKpqbjNzNJP3sUqSiL8CAtzVu0pFfv3i5XIWUdUoss7LyaQ3pBGWn5Zv42upXL3SorM5N1a9eSkJDA6LFj0Wq1d3yCoGbRZ58zctRowsPDa1TUrCqqEhp///PvSUtN5a/vLgRqFpugFhXK3wrViQxlzVvGBLu12+12rl65wrFjR/n966/Rs1dvnnjqaXr07Fll8DbUzJXr89WrmDNrJlqtlivXU4iKjhauRwKBQCAQCO4Zte5EAfCZccafEapOW+kLjUZDy3YdadmuIwBlZaWkXTzDt4s+RqcBfYCGVq3b0K9bZcpVZac3oFFrMCV4ZTRSTgv0HmLhoakz+WjhB0jBYTRt1gxQ/NrLXeIgx2zl+M0ChraMc92nrgotyzI52dncuHGDGzeuk1tQRJnNQaE9gH733Ue31k0rA77Lcip3pStOYeqHBTGxTYJbPYhLJ4/y7f4DREZG8NSsqTj0TjeZqnzmFco0QVjys7h0+QpXr10jOiqKTp06EhsTQ3FRMeHh4V731CQO4U548OFHmDByKEad1qcYVKMWBL5OZWqSKSmrxMqZ9CKySsLonGgkPeUqf/rD79m3by8RERG0bt2GDz9eTL8BA2o0/+pEwqavv2HTFxt48aWXadO2HWfPnGbi+LFs/3pXjcYXCAQCgUAguBvuWChIkvT/gL8A82VZfqaiTQJ+B8wFIoHDwNOyLJ9T3ZcCNATuk2V5n6r998ADsiy3qeq5mio2ZH/ITrXnznJChJGEHr3o0qMXBWU2wnQasq+d4x//epOZ06cRFxvrNGpD49EHRxCAahEN0V7je/qfz54zl8/XbWDbV18TEBBAcGw9whskYw+JwFZu5XpqBucu3MSSqqFVRADXy0uxmApRv2JMbCxNkpIYMXIURqPRdRqhiAlNSUGV8zDqtIQGShzYv5/jx4/RtV1rnnpibuWutx+feTWlpaUsX7eRElMJ0dHRtE5uxJhRI8nLz2fp8hVMnvQQgYGVX68f8hlVR1h4OFaL1fVuvqiJiPCHcoKgnPLkmK2kFziDxyNsRfTr1IFpM2bw7cFD1K1b766e4Y8yTRDr137OiuXL2bjxC55/6RXWbN5Oi4aJ7N6180d9lkAgEAgEAoGaOxIKkiT1AOYApz0u/Qp4CZgBXAJ+C3wlSVJzWZaLVf3KgL8Dve50ohpkn8ZmdQZoTXzjfbmdFFvtrvb4pm2Z3rwN61YuJTw8gsGjxmEMcsYyhIREoMzAX7yBOluOJEmMGD0WgEVHU8nOuEXGN/sJsxcTqAsiLCKKnvUN9EyuS1xkGHERRiIiI71qBHiugXodPHf+K7MfOcBqZtPGLyjIL6Bn7148+9zzAEg+svD4Gs9sNrNm/QaKSq1MfOBBIqOi3HbEDQYDzz/zNH/4y19p26mr3znfKVWdDK1bvYr+gwa7+vnCZHW4iQhfoqEqkaGQVWIlJkRHp4YRNDFqefKhkSQlJ/Or554hKTGWshq/USX+YhQUevTqzVc7vuLYqdNo9AYA3vjXmyz95JO7eJpAIBAIBAJBzaixUJAkKRxYDszGKQSUdgl4AfibLMtrK9qmA1nAFOAD1TALgbmSJE2QZXndnU5W2RWv6e60p2FZ1a6yOi2q8gx13ECpQ+KBR2dy4/o15r/zJhPGjqFZ8+aYQ+NRymj5cs1Ru+2od/W3X8sls8hKYp36tG7ZlFaxBjfBotQ0cBqQ5aB6lTtx08kyWdj21VZysrPQaSAsWMeY4cOJjo6qmLRzToqx6pmqUyEjM5MvNm5Co9UyYexYQmMTffYD0Gq1vPLSL7Dbfa+1v2cAVcYy+BML3+7dw/CRo6v8XnjeqxaEVd2jzMkTo2TjD88+TvPmLVi0aBHBstX1Tp6fT3l5OYGBgRz57jsyMtIZMHAQBoPBrY8vsaCMM236DD5ZvIjdu3YxaMQYADZv2cqQIYPZvGmj3/kLBAKBQCAQ/BDu5ERhIbBGluVdkiT9VtXeGEgAdigNsiyXSpK0F+fJgVoopALvAv8nSdJGWZarzFUpSdJcnO5M1K/vdOm4k/z9vqiq8q4ytqebjmJMFlvtNG6SxNPP/4Ld2zbxzZ7dTHl0qitDkvrZVVVZTi2ysPHkbVJvFvD02Fb0qh/hc17+3rUqgx6grKyMr3bu4lpqOkGhRu4bMIikBnWqHc/X2jkcDj5e8glGg4EZ06YiB4e53eeP0NBQ51z89ri7uARP472oqJBTx4/xpz/9yW1Ovsb2JTSUz9df7QTP3wFkWeb1l5/HGBrCwoULXSJBQe+wYCaQFcuX8fvXXycnJ5tNW7fx/379K86cPs30GTN5Z958r/lV9ZleuniRs2dOM3bcOABio6OIiIjw6icQCAQCgUDwY1EjoSBJ0hwgGZjq43JCxb+ZHu2ZQF0f/f8PeKziZ0FVz5VleSFOgULnTh19pmfyDLRVG9E1OXlQdrDVgbvK7j+6IJfLilosGHVaBt4/BlNxMcuXfkpCYiKjx4ylRGWEmgjEEBrvszhc/bAg/ja6FZdzzTSLDvErXvItDlYu+YgnH5/rNoaaMk0Qsixz4/p19u//FktZGUF6Pf36D2DI6AaufjWteKymoKCQBR9+yLRHH6FOovMEQTH8f0g2pKqo6WmREtj913/+jaHDh9O6jTPE5W7ER01SqarntWX1crLTb/H1rt0Ytb7doV79xfN88NHHvPjSy6xYtpQ//O519u4/yOFDh1wGvr/6Cb7a6tSpi81WqatvpaXRsGGjauctEAgEAoFAcLdUKxQkSWoO/BXoK8seW6fueBryko82ZFnOlyTp/4DfSZK09E4mq+Brp15dnKq6CrpuRq6qJoMyrnosBV9iwWA0MmXW41y/eoV/z5tPcHAIfYaMIDI6WtWvouCWDq/xOicavQxjZcfbZHWwb/cu3p7/PtMffxqNpnI3vLy8nO+vXuDM6dOUlZYCkNigCRMfeJCQkBA88XW64ctNSs2Fixf5cvsOXnzuWYKC3E9KamqMV7X+PyTLkcJXO7azcvkyvt2zy+XeUxV3UsvBlwuU8vetm9cZNGgQYQHuX++Um9+j1WqoX68eM6ZNxWa38fGHzpSt77w7H0mS6NGzJ4DP0ytfKP0sVgtjx49n2dJPuXTxIidOHKdFI186XCAQCAQCgeDHodo6CpIkzQAWA2pnbi1OEeAAWgMXgW6yLB9R3bcFyJFleXrF3ynAPFmW/ylJkh5n0PNHFWNVm/Woc6eO8qFt673aPQuXeRYtU+OZ7tOzv2d7ZRCwO/782ktKTOz8cgs5+YUgSa4sQtHhRhJjY4iMiiIxJhJjmJE4gx6dTofVasVqtWKz2bHpQggMDKTMoaGkxERBfj5WUwFpabe4nZmFxS7jcDgIDdLRolVrWrVpS3BwsGtORp2WEpOJ9Nu3aNeqOSGUe72X53urTzoAQgMl1n7+OYFyOQ89MLHa/P9VoV5/teFdnZCrCXqHhVdfe520W7f5fO063v7nP5jxxDN++9+JSFDwd7px6eRRxk58kPfffYf7hw8D4ItNm5n0yFQG9+vD1tVLXetbWA5WqxWj0b0yc02qUCt9ZFkmODyKJo0bc/3GDSaOH0dSUhP++NvX0YdFijoKAoFAIBAI7gk1cT3aABz1aFsMXMF50nAZyACGAEcAKoRAX+CXvgaUZbmsIs7hXeCuThUUlOJmd3WvyljWOyw4giP8xhWo8RcIGxpq4JEpU9yuybJMgM1CXl4uZcX53L59m+JLRZQV5mGxWtEF6tDpAnEE6LHZbJjKrNhsNgwGAxGRkURERtGxey8GRkUjSZKbP33GzWv8+q9/RhsYxOoVyxj/4CTi4hP4YN47/Outt3l69vRq30UdvJ2ZmcHCpUsZO248rZvUr+ky1ghPo7smIqE696as7Bw+X+uMiR8yepyr/YcWd6tuTk2Tk2jVqiXjH3qYrLSbhIWFkZzUhMDAQBLjnfUvlFOp8EAoCzJWM2rV4kmSJC6ePsn+gweJiY5m2NAhrmcIBAKBQCAQ3CuqFQqyLBcABeo2SZJKgDxZls9W/P028BtJki7iFA6vASZgRRVDL8WZUnUWcK26eTiQfBryys5/TXZo1YJA3bb2QjYTW8a6XfM8TVAbnkq7L992pZ866NZg1BEXaQQaufqp5+u5q18V6kJpAYGBHNy/n9u3bwOQk5nBX/7xJj1796Ffb6eLS02MyeKsW3y+cSu6oCCee+FFDBp3AVRVwTV/VCUEaioSfLmAqXn/3XfY++23pKam0bp5MwpMZtc1tVjwta5VXVNf9zTgU9PSGHz/SNq2bs3hb/cSFuYM7m7dqhXf7d+LQeMdn38nrlb++jZq1JBGjRoCQiAIBAKBQCD4z/BjVWb+BxAMzKey4NpQjxoKbsiy7JAk6RVga00eUG6XnYa+SiyYQ+O5kFMKlNIyJthLLChGoNrIV2eWUUTC/C/OA61cYsHTUPPnq+5LSHjOQR+AW2pT9TzUz1KP5SsLj6/nt2iQyPWL58jNzUNGxhBbB4DBw+539qmYS35BIdm5ucTHxmAIDUUyRONwODh2/ASHvztCdHQUMyc/iBQacc+ClH3hT9ypYyqqcpvS6XRcOXeGJ194mQYNG7qu11QE+Ovr67NUfv/1b15n9IgR/PPv/+c1bssWLfwa8b7eVd3mL42uGiEQBAKBQCAQ/Ce5K6Egy3J/j79l4PcVP/7uaeSj7UucQc93THW72+qsRf4Eg9o4jAnROf/WeRto98KVpSqDvKoUrr7uV9dEAEDnboQu/GQ5r//1DQBGDRvM4CFD0Wg0dOzQgaeemFtZzM3HnNTGaXU7/ArV7Z7/mGKkTBNEQEAAVmtVcfaV3GmNBoXsnBxOnT7D2vUbuJ1y/a7mqnC3blc1dY0TCAQCgUAg+DH4sU4U7jmBWsllPKmzG7WMCXb97klISSb64AhybM5sOL4Ew7CkaBjbypWBSO1qot5tVsRCVW4sd4qmtMBVg0EtUKoyWH3tQnv1qRjTbrez/+BhDKEhPDt3JhISj02dTItmyTUy+KvLLuULz1oA/gLKq8PTKPZVbVohSK8nIMD9q2yyOpBlmYL8POonxNbomb4+3/Lycn79m9dZvnIlYWFhNGvaFIMhtMbz9pyrZ7vnd7o6HMER5OXls2//fnT/wdMfgUAgEAgEPz9qjVDIz82ltLTUleVHwZfhqSktcGVDAohRiQXwNsSHJUV7Gfue9RjUJxNKoLKvnX9PlyJfc/S1S++r/oOnO4w/kaC8q91u51JGAafOnicvPx+NRkOPvv15qkc3JEmisKiIQ0dP0Lxpkte87wR/YsFXwTBfxeFqejJR1TMUbDYb8/79Ds2aNef2rVs0atKE3PxCNqz9nJTrztCXVWvWMmz4/TV5Na/vwV/+9g8uXb7CuRPHK09uaoCvufsUgKrTn93f7OXs2XNMGD+W9Rs2UmwyMfWRyUTXa0xZWRk3rl/nL3/6I3u/2UOQTkdObm6N5yMQCAQCgUBwp9QaoRAeHsbylauwV2QESk5Kok6dRBITErx2k12YctHgNNqitVZybIFVpvv0ii/w4SvuLzVqVah3jqtyHfF8nucOd2FhIYcOf8fNqxeRKtKvSpKEZHUG8UpING3SkGED+xERHuY1/rGTZ3jxN7/n0I6NhEmSX2P9btxbqqoq7E/MeT6/qqBff6lWbTYbkyc9RMeu3QE4f+4cWq2WT5cto1Gjxhw+dJAHJ4wHoLQwD4tW7xrH4XDw5dYt3L51i5KSEiIiIsjNzSU01MCxo0coKynm4KHDfLtnl0+R4CuIXk1WdjYLFi8lIz2d7Nw89u3dg63cGeys1WroP2gITz7xBF9t38b+fd9w9eo1unTuxN/eeIPcvHx69+rJv+fNxy7LWMrKSKhTlwcmTebjJZ+g0+lIu3Kedp27+X2+QCAQCAQCwQ+h2joK/y107NRJ3rNvPwDFxcVk3LjMrVu3Sc/MxFFajCOw4qRBlkGS0JaXgtWMrAtxXbNJ7oLCYpeRZZkgrdPgDpDdM9Yo/SVJoszmoMxWabTrAyp3noO0leJDr4X42FhiGzSmfr36aEPCMAZpfRY9U/CsaeB8DZmUGzc4+N1RzEX5SJJElCGYHt2706hhA7RlhVWul6cRXlVQcHX9qhvf1+lJVW5DVZ0oeI5VU3/+quoQvPjq6yxf+ik3b6UjSRLnz51j8aKPOX3qJCUlJfTu3o0gQxhZWVnExcVRVFhI0+bNCdAG0Ktze7p26ex3jgCnTp1k7YplnD1/noKCAnLz8rh9Ox2NRsNDUx6lRavWSIF6evTth6GinoLFYmHd0kVs3biBQYMHM2z4/XTt1o2QkBA3t63srCxMVjuxcfGVhf4qRFJISSa6+MaijoJAIBAIBIJ7Qq0RCu07dpK37trn+jsmwL2YmGdNBOWa0q7uV6OKzXinLfXncqTOkmO1WslJvcbVPAu30tK4mZlDeJCWANmGprzUq1y1rHNWUi6nckzlM2nUuDEdO3YiMiqqSvclharceWrS35c7k1v/aora1eTU5McIhq4Oz7Wy2+107dOfbt26MXrsWB55eBK/ePmXtGjZkuH3jyAsQL6rZ27f9iV/+dMfycvN5dFp0+nSqDxB6gAACGtJREFUtSuRkZFERUVjiI4nMDDQddrl7yRKne7WE8/vndJfcUPTlBYIoSAQCAQCgeCeUeuEgnpXVb1Lr66kXJU/v7qvGl8uJJ7uLgr+gpfV8zGHxmOyOkgtslA/LIiYgHKf8/D1LH9je+JLJFV1nz+x4NnuSySAt1CoSiR4Vsz29Vx/VPce/vpX1ed2ejqjJ07i3NkzAGTnFxIYGOi6z9czfcUU3L5xhQ3r12G1WFj66Se8M28+Q4cNd2WOMlkdXoKyOnc1f1muiq12CsoqT7ki9AFCKAgEAoFAIPiPcW/K195DFKPKZHVQpgnCERzhZvhXl4FInTFJ/aPgbzfcoNO4ftT3K/iKbzDoNEToA3zOqaZZbjyf4zlGTUWCP3yKBx/Gva/TBGX8e117oabjVyW2ckwWrl65zMxZswE4e+a03/uKLXaXwa/8XLx6nUceGMfI+4eRmZ1LYVERq9auY/j9I9BoKoPd1cZ9VUHv6naln/p56nGySipTvyrfpR966iIQCAQCgUBQHbUmmFkjeQf3+qt74Ol6VBN/fc/r/gx5X4JAjed9iYZA7pYfw0BWcyd5+H2KBR9rUhOR5YvqMif56u9rDp79/QUYL1zwPs8+/wKv/fZ3DB46lAnjxjJr1my69+zJjes3SEtLJS4ujp27dnPpwnlWbt2JPjiYwEAd6z5bxoK33+CxJ59m8YrV6HQ6n5W67ybQ3ajTuoSBL85nm0gvLGNQcgzgfvphDo2/4+cJBAKBQCAQ1JRaIxQUPFOHetZG8HKBqWEqzur4ITEC1YmJqu7xZyBD1QKhqlOIO81qdLc1F37oc8HdnUt5zp1+nvn5BXz++WoOHTkKQL+hI9n01R6WLvqIee/Oo16DBsQnJHIt5SadunQlKzuL8YP6YLFaKDOb6dVvIB+sWEOrtu3RqU60fFFQZiOrxOrmJqSgiAFZltm+bhVFRU73pzKbg8bJTUlu3pLomFgKLc5+WSVWjt8sIC3fTNvEMOqHBaEpzUNfRZyNQCAQCAQCwY9FrYlRkCTp6E89ByAGyPmpJ/FfgFgHJ/8N65Ajy/Lwn3gOAoFAIBAI/gepNULhvwFJko6KwFGxDgpiHQQCgUAgEPwvU+uCmQUCgUAgEAgEAsG9RwgFgUAgEAgEAoFA4IUQCnfGwp96Av8liHVwItZBIBAIBALB/ywiRkEgEAgEAoFAIBB4IU4UBAKBQCAQCAQCgRdCKAgEAoFAIBAIBAIvhFAQCAQCgUAgEAgEXvzshYIkSf9PkiRZkqR5qjZJkqTfS5J0W5KkUkmS9kiS1Fp1faUkSV95jNO3Ypx3PdrnSJJkkSQp+N6/Tc2RJOlVSZKOSJJUJElStiRJmyRJauPR539+HfwhSdKSivfw/Dmk6tNdkqSNkiTlVbzbRUmSfidJkv6nnLtAIBAIBALBj8HPWihIktQDmAOc9rj0K+Al4FmgK5AFfCVJkrHi+i6gtyRJOtU9/YHvgQEeY/UHDsmyXPqjTv6H0x94D+gFDARswNeSJEWp+vwc1qEqvgYSPX5GAEiSNAbYB+QCg4FmwB+AucAOjzURCAQCgUAgqHX8bIWCJEnhwHJgNpCvapeAF4C/ybK8Vpbls8B0wAhMqei2GwgGuquGHAD8E2gqSVKcqr0/ToP6vwpZlofJsrxYluWzsiyfAaYCsUBv+PmsQzVYZFnO8PjJkyQpBPgY2CrL8kxZlo/LsnxTluXPgNFAH+D5n3TmAoFAIBAIBD+Qn61QwJkDf40sy57Ga2MgAdihNFTsgu/FufuOLMtXgFtU7JpLkhQE9AS2AkdxGsVIktQcqIPToP5vx4jz+6CIpp/rOtSEYUAM8A/PC7IsHwd2UimmBAKBQCAQCGolP0uhIEnSHCAZeN3H5YSKfzM92jNV18Bp9CruNT2BHFmWrwHfqNoHAGbgEP/9vAOcBA5W/P1zXQc1wyVJMnn8/B2nmxHABT/3nQea/2emKBAIBAKBQHBv+NkJhYrd7b8Cj8iybK2iq2clOsmjbTfQsyJwdQCwp6J9D+4G8v5qnvOTI0nSmzjdZSbKsmz3uPyzWQcf7AU6ePy8UYP7JKC2vatAIBAIBAKBGz87oYBz1zsGOCtJkk2SJBvQD3iq4vfcin4JHvfF4b67vgsIAnrgdLHZU9G+H2giSVKdinH/q91tJEl6C5gMDJRl+brqUkbFvz+LdfCDWZblqx4/OcDliuut/NzXUtVHIBAIBAKBoFbycxQKG4C2uO8SHwVWVvx+GaeRPES5oWK3vC9wQGmTZTkFSMGZBac7FQayLMslwDHgKSCe/+IAXkmS3sHpSz9QluWLHpdv8DNZh7tgO5AD/NLzgiRJnYBBwJL/8JwEAoFAIBAIflQCfuoJ/KeRZbkAKFC3SZJUAuRVZPZBkqS3gd9IknQRp3B4DTABKzyG2w08AWRX+OUrfAM8BxTjNJb/65AkaT7OTEfjgHxJkpSTA5MsyyZZluWfwzpUQ5BqXRTssixnS5I0G1gjSdIi4F2cJ1G9cGZ82gZ88J+dqkAgEAgEAsGPy8/xRKEm/AN4E5iP87QhERgqy3KxR7/dOLMF7fFo31PRvleWZds9nend8xTOOe4E0lU/L6v6/BzWoSoG47426cAJAFmWNwL34Uwpuwu4CXwGrAXG+Ij1EAgEAoFAIKhVSLLsGasqEAjuFEmStDhPWvoA/WRZvvoTT0kgEAgEAoHgByGEgkDwI1EhFp4HCmRZXvRTz0cgEAgEAoHghyCEgkAgEAgEAoFAIPBCxCgIBAKBQCAQCAQCL4RQEAgEAoFAIBAIBF4IoSAQCAQCgUAgEAi8EEJBIBAIBAKBQCAQeCGEgkAgEAgEAoFAIPBCCAWBQCAQCAQCgUDgxf8HqlFUSKLr19gAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<Figure size 936x648 with 8 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "###############################loading pte calculation files#####################\n",
+ "\n",
+ "path1='/pf/b/b380796/scratch/NAWDEX_Anubhav/0.025/1deg/1m/'\n",
+ "path2='/work/bb1018/b380723/pte/0.025convoff/1m/'\n",
+ "\n",
+ "dp_dt=np.load(path1+'dp_dt.npy')\n",
+ "dfi_dt=np.load(path1+'dfi_dt.npy')\n",
+ "i_itt=np.load(path1+'i_itt.npy')\n",
+ "i_tadv=np.load(path1+'i_tadv.npy')\n",
+ "i_vmt=np.load(path1+'i_vmt.npy')\n",
+ "i_diab_res=np.load(path1+'i_diab_res.npy')\n",
+ "\n",
+ "ds=xr.open_dataset(path2+'basicvar_pl_1deg.nc')\n",
+ "mslp=xr.open_dataset(path2+'2dvar_1deg.nc')['pres_msl']\n",
+ "mslpsel=mslp.sel(time='2016-09-23T12:00:00').sel(lat=slice(50, 57), lon=slice(-30,-22))\n",
+ "mslp_coord =mslpsel.where(mslpsel==mslpsel.min(), drop=True)\n",
+ "\n",
+ "##########################converting numpy array to xarray###################\n",
+ "\n",
+ "time=ds.pres.time\n",
+ "lat=ds.pres.lat.values\n",
+ "lon=ds.pres.lon.values\n",
+ "dp_dt=xr.DataArray(dp_dt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "dfi_dt=xr.DataArray(dfi_dt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_itt=xr.DataArray(i_itt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_tadv=xr.DataArray(i_tadv, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_vmt=xr.DataArray(i_vmt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_diab_res=xr.DataArray(i_diab_res, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "\n",
+ "stp = 36\n",
+ "fig=plt.figure(figsize=(13,9))\n",
+ "plt.rcParams.update({'font.size': 14})\n",
+ "plt.subplots_adjust(hspace = 0.3, wspace=0)\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 1, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(dp_dt.lon,dp_dt.lat,dp_dt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('Dp')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 2, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(dfi_dt.lon,dfi_dt.lat,dfi_dt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('DΦ')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 3, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_itt.lon,i_itt.lat,i_itt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('ITT')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 4, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(dp_dt.lon,dp_dt.lat,(dp_dt[stp,:,:]- dfi_dt[stp,:,:]- i_itt[stp,:,:])/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('RES$_{PTE}$')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 5, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_tadv.lon,i_tadv.lat,i_tadv[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('TADV')\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 6, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_vmt.lon,i_vmt.lat,i_vmt[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('VMT')\n",
+ "\n",
+ "\n",
+ "ax = plt.subplot(3, 3, 7, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ'])\n",
+ "ax.set_yticks([40,60], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N'])\n",
+ "ax.set_extent([-50, 10, 35, 70])\n",
+ "ax.coastlines()\n",
+ "clevs= np.arange(-3,3.1,0.2)\n",
+ "cd = plt.contourf(i_diab_res.lon,i_diab_res.lat,i_diab_res[stp,:,:]/100,clevs,cmap='RdBu_r',extend='both',transform=ccrs.PlateCarree())\n",
+ "cs = plt.contour(mslp.lon,mslp.lat ,mslp[stp,:,:]/100,np.arange(970,1060,4),colors='k',linewidths=0.4,transform=ccrs.PlateCarree())\n",
+ "ax.plot(mslp_coord.lon, mslp_coord.lat, marker='x', markeredgecolor='blue', markersize=10, mew=3)\n",
+ "plt.title('DIAB$_{res}$')\n",
+ "\n",
+ "# colorbar\n",
+ "cbar_ax = fig.add_axes([0.82, 0.2, 0.02, 0.5]) # left,bottom,width,height\n",
+ "ticks=[-3. , -2.4, -1.8, -1.2, -0.6, 0. , 0.6, 1.2, 1.8, 2.4, 3. ]\n",
+ "cb = fig.colorbar(cd, cax=cbar_ax, ticks=ticks, orientation='vertical', extend='')\n",
+ "cb.set_label('hPa/h', fontsize=14, labelpad=5)\n",
+ "cb.ax.tick_params(labelsize=14)\n",
+ "fig.subplots_adjust(right=0.8, wspace=0.1, hspace=0.2)\n",
+ "\n",
+ "\n",
+ "plt.show()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/Figure_13.ipynb b/scripts/plotting_scripts/Figure_13.ipynb
new file mode 100644
index 0000000..e320a6f
--- /dev/null
+++ b/scripts/plotting_scripts/Figure_13.ipynb
@@ -0,0 +1,280 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.ticker as mticker\n",
+ "import pickle\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
+ "\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#loading cyclone track coordinates\n",
+ "coord=np.load('/work/bb1018/b380723/figures/large_scale/coord_1m.npy')\n",
+ "\n",
+ "#loading cyclone mslp\n",
+ "path='/mnt/lustre01/pf/b/b380459/wcb-vladiana/'\n",
+ "pres1=xr.open_dataset(path+'nawdexnwp-80km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres2=xr.open_dataset(path+'nawdexnwp-40km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres3=xr.open_dataset(path+'nawdexnwp-20km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres4=xr.open_dataset(path+'nawdexnwp-10km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres5=xr.open_dataset(path+'nawdexnwp-5km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres6=xr.open_dataset(path+'nawdexnwp-2km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres7=xr.open_dataset(path+'nawdexnwp-10km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres8=xr.open_dataset(path+'nawdexnwp-5km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres9=xr.open_dataset(path+'nawdexnwp-2km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T12:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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+C09ERKRuiMQkojGwu5z1u4BGXhz/NvAPoD8wGmgCzDbG9KvoAGPMaGPMImPMIk8HRBERkbouEvtEAJQ3wsJ4daC1lxV7ONcY8xlOzcZDwPEVHPMy8DJAr169KhrdISIiUqdEYk3EbpzaiNIaUX4NRaWstfuAGcDRNYxLRESkTonEmoglOP0iSusKLPXxnIbyazd8Vp15HMR/Ss/Pob+DiEjgRGISMRV40hjT3lq7GsAYkwb0Be6s7smMMQ2AgcCP/gwynKxdu7bE41GjRjFq1Khy9+3Xrx8bN24MfFAS9jo82aHE41W3rQpRJCISriKxOeMVYC3wmTHmHGPMYOAzYAMwwbOTMaatMcZljLmv2LrbjDGvGGOGGWP6GWNG4gwNbQHcE9RnISIiEuEiribCWrvfGHMKzrTXb+E0RXyNM+118ekVDRBNyUTpb+A895ICZOAkEVdaa38KQvgiIiK1RsQlEQDue2RcUMU+ayk1YsNaOw2YFrjIpKZm7NwJ1jKwadNQhyIiEhDWWrZv387atWt5+4IL2JGfT9d69eiQmBhx/bgiMomQ2uurXbtIz8+nY7EbgImIRCqXy8Ubb7zBb7/9xtq1a1mzZg1r164lKyurxH7tExJ4sH37EEXpOyURfmStxRivpquIeIWFhX4/p8ta0vPzscArmzfz75wcEhIS/F6OiIS32jLK6t1u3fgsPZ3309NJiooiNS6OIwcM4IwzzqBdu3a0a9eOpTfeyIKMDD7ZsYM9LleoQ642JRF+kpCQwM6dO2nSpEmtTiSsteTn57Nt2zbq1fP2pqneSc/LwwJ9U1KYv3cvDz74IOPGjSvaXlveWESkblifk8NH6en0btCAG1q3BmDYJ5+U2OfGv24kd3M8PAP399jFP0IRaA0oifCT1q1bs3HjRurCtNgxMTGkpKTQ1M/9Frbl5QHQv1EjooHHHnuMIUOGcOSRR/q1HBGRQMvPz2f85s3Ui47m8hYtKt03rmUc0SnRZC3LqnS/cKQkwk9iY2Np165dqMPwSen5ACA0cwJsdScRLeLiuLRFC5bv3csVV1zBTz/9RGxsbNDjERHx1bhx41iXk8NNrVtTP6byj1pjDEldksj8NZPc3Fzi4+ODFGXNReI8EVJLbcvLIzEqivrR0dSLjuaFF15g8eLFPPnkk6EOTUSkjHe7dSuxePzyyy+MGzeOvikpHN2ggVfnSuqShM21zJ07N1DhBoRqIiRsbM3Lo3lcXFGfkvPPP58hQ4YwduxYzjvvvBBHJ+FKM2tKOMnNzWXUqFGkpqYywssEAiCxYyImxjB9+nT69+8fwAj9SzUREja25eXRIi6uxLr//ve/JCUlceWVV1JodQNVEQlvDzzwAH/88QevvPIKydHRXh8XFRdFQscEpk+fjo2g9zolERIW8vPzSc/Pp3mpJKJ58+Y8++yzfP/993y5u9o3aRURCZqFCxfy6KOPcvnllzNw4MBqH5/UJYlVq1axfPnyAEQXGEoiJCysW7eOQiiTRABcdtllDBgwgCnbtpHu7nwpIhJoFfV5KE9eYSEjR46kVatWPPPMMz6Vl9TFmWRvxowZPh0fCkoiJCysWLECoExzBjg9lydMmIAxhle3bImoqj4RqRs+TE9n2bJlvPbaa6SkpPh0jthGsRx22GFMnz7dz9EFjpIICQsrV64Eyk8iAA4++GAubtaMP/fv57u9e4MZWsTq8GSHEouIBMbyrCxm7tzJ6NGjOf3002t0rrPPPpu5c+eyN0Le55RESFhYuXIlCVFRNKikI9KpjRpxaFISb2/dSlZBQRCjE6k5JXW1U25hIRM2b6ZJbKxfhqMPHDgQl8vFF1984YfoAk9JhISFFStW0KLY8M7yRBnDJc2akVVYyE8ZGUGMTkSkrLXZ2Ty2bh1b8/IY3aoV9evXr/E5jz32WBo1alStfhGhTFA1T4SEhZUrV5bbqbK0DomJtIyLY16EVPVJZNBcE1IdW7Zs4e677+bNNWtIjo5mdKtWdPPTvYRiYmI488wzmTlzJoWFhURFhfd3/fCOTuoEl8vFmjVraO7F1NbGGI5PSWFZVhZr164NfHAiIm7Z2dmMGzeOTp068fbbb3NWkyY81bEjJzVs6NdyBg4cSHp6OgsXLvTreQNBSYSE3Lp163C5XLTwcr74vu6ez++8804gwxIRAZy7F/+wdy+HHnoo99xzD6effjpLly5lWPPm1KvGhFLeGjBgAFFRUREx1FNJhIScZ2SGNzURAKlxcRyalMSkSZM03FNEAmpNdjZj167lv5s20bhxY7755hs+/vhjOnbsGLAyGzduTJ8+fSJiqKeSCAk5zxwR3vSJ8DghJYXly5dHRHWfiESmnMJCHl63ju15eVzdsiWLFi2iX79+QSn77LPP5tdff2XTpk1BKc9XSiIk5FauXEm9evVoWMXtcos7pkEDEhISeOuttwIYmYjUZd/v3UtWYSE3tWlDv0aNiA5A00VFPNNmz5w5M2hl+kJJhITcypUr6dixY6XDO0tLio5m8ODBTJ48mTxNhS0iATB7925ax8fTKTEx6GV369aNtm3bhn2/CA3xlJBbsWIFhx9+OCxdWq3jRowYwfvvv8///vc/Bg8eHKDoai8Na5RIVvpeFsOWLKnR8aXP8fPPP7MmJ4eRLVpU6wuOvxhjGDhwIC+98hLtHmlHVKzznT/c/k9VEyEh5Rne6UsnpdNPP53U1FQmTZoUgMgkXITDTI/hEIME18svv0ycMUWjwULh7LPPxuZbclbnhCyGqqgmQkJqw4YN5Ofn+5RExMbGMmzYMF566SV2795No0aNAhChiATCnj17MMb4fLOqQNq3bx/vvvsuxzZoUKMhnPdeXvbDf1g1ju/Xrx8m1pC1LIukzkk+xxFIqomQkPKMzOjUqZNPx1922WXk5eXxwQcf+DMsEQmgd7t144TWremYmsoLhxwS6nDKmDx5MpmZmZwS4i8miYmJJHZKJGtZVtgOZ1cSISHlmSPC1zHXRx11FF26dFGThkgEsdayNieHHfn5PLZ+PXv27Al1SCVMmDCB7t270zEEHSpLSzo0CdcuF/nb80MdSrmUREhIrVixgqSkJFq2bOnT8cYYRowYwfz581m9erWfoxM5wLXPRcZPuvGbP2QUFJBZUMDR9euzOTeXQYMGkZ2dHeqwAKdD5S+//MI111wTkg6VpSV1cZoxspZllbt9//795G7OJfP3TPJ3BD/RUJ8ICSlfhneWNnz4cO666y7efvttAjeHnESq8jpC+tLDPWNeBntm7yHpkPBsm44kD56yD5bDhovq0SQnkfnvzOfiiy/mo48+IqYa88UEwoQJE0hMTGT48OHMfPHFkMYCENMwhriWcez/fT+xTWJ5/PHHWbFiRdGyefPmon2bDG5CygnB7WPic02EMaaZPwORusmTRNREmzZt6Nevn6bBloDKWeN0ksvfGZ7VypHEUzUf1zyO5B7J/Oc//2Hq1Klce+21If0fzsjI4N133+Xiiy+moZ9vqlUTSV2TyN2Qy7ZJ27jjjjv47LPPyM/P57TTTuOhhx6i2aXNOOimg6h/TM1vRV5dNUn5FgEH+ysQqXsKCgpYvXq1X+Z4GDFiBJdffjkr09LolKRvisFSV+aasC5L7oZcQEmEP+Rtz8PEG6JTnJEP119/Pdu2beOhhx6iefPmlJ3BITgmT57M/v37ueaaa0IUQfka9mtI/EHxxDSMYckDS8qMaHn9yddDFFkVSYQxprJ39wQ/xyIRzJcPkw0bNpCXl+fzyIziLrjgAv7xj38wd+9eJRHid7kbcrEu5xuya5crxNFEvvxt+cQ1iyvRjPnAAw+wbds2Hn74YS5r3pwBTZoENSZrLRMmTODwww/nmGOOCWrZVYlKiKJe93oAYTcktqqaiE+Ab4HyGqyDX28itUpNR2YUV79+fc4991ymTpnCZc2bExulPsPiPzlrnaaMqKQo1UT4Qd72PBI7lhz5YIzhxRdfJD09nbc+/ZSUmBiOq+EHZmFhIcYYr/pcrc7J4ddly3jhhRfCokNlpKgqiVgBXGmtXVN6gzFmQ2BCkuJqc3WxZ44If91Sd8SIEUyePJnFmZkc3aCBX84pAk5/iNhmscSkxODaGbqaiJpO9RwOMjIyKNhbQFyzsnftjYmJYfLkyRzZpAkvbdpEcnQ03ZOTvT53bm4uixYtYu7cuXz33XfMnz+fpk2b8sEHH3DUUUdVeuzs3btJSkpi+PDh1X5OdVlVScREoClQJokAxvs/HO8YY9oAzwCn4dSSfAXcZK1d78WxCcCDwKVAQ2AxcIe19rtAxSvlW7lyJYmJibRq1cov5+vfvz8p0dHM27tXSYT4TWFhITlrc5zq5CjY/8f+UIcU0f766y8AYpvFlrs9ISGBW9q04aG1a3ls/XoaxsTw3z59aNOmTYllVXY2DWNi2Jyby19ZWbzcrx8//vgjOTlOrVGruDh6JiXx+/r1HNurF69NnMhll11WbplZBQX8sHcvwy+/POyaC8JdpUmEtfaRSraN8384VTPGJAGzgVxgJGCBh4BvjDGHW2ur+g9/DRgI3A6sBv4PmGWMOc5auzhggUsZK1eupEOHDkT5qekhJiaGPikpfLFrF/tcLuqHeKiYBE/e1jxyVufQoI//k8clS5ZQmF1IQrsECvYVULi/kIyMDBooUfXJUveN9mKbl59EANSLjubOtm35atcu0vPziUlI4JdffmHq1KlFSUJxBui5fz/XXXcdJ554IscffzxfnHQSABkuF//ZuJERI0awaNEinnzySWJjS5b9/d695Fobdh0qI0EkvsteDbQHOltrVwIYY37HaXq5Bni6ogONMT1wpi6/wlr7hnvdt8AS4AFAt4IMohUrVtC5c2e/nvP4lBQ+37WLRfv2cbLupVFn7P5qN/t/209cm7JV5DU1b948ABLaJZC7yRmhsXr1ao444gi/l1UXLFu2DKIhtnHFSQRASkwMFzRzZhIYNns24HR+3LFjBxs2bODtc89lT34+zeLi6JSYyJULF5Z7ngYxMfy7bVt+HTCAZ555hsWLF/P+++8XbbfWMnvPHg6Oj+foo4/207OsO6qVRBhjDrLWbgpUMF4aDCzwJBAA1to1xpj5wDlUkkS4j80HphQ71mWMeQ+40xgTb63NDVDcUkyhtaxatYqzzz7br+dtm5BAjDFszcvz63nFN8Ho02MLLdkrnNkO936z1+/nnzdvHtENoolpHENhTiGgJKImli1bRmxqLCa6+p0XjTGkpqaSmprKX/W979sfbQxPP/00PXv25Oqrr6ZXr16Mjo2lQ2Iiq3NyWJeTw+UhuuV3pKtuTcSvQKgnmeoGfFbO+iXAhV4cu8ZaW3r+0CVAHNDR/bsE2M78fPLy8vzWqdLDGEOjmBh2uzQMLxL4YzbJ3I25FGYVEts8lv1/7ufvv//2aw3X3LlzSWiXgDGm6NvzqlWR2cHZm+sd6MRv2bJl5XaqDIbhw4fTrVs3zjvvPB5cu5ZRLVqwIjubeGPoo74QPqluEhEOaVpjYHc563cBVdVfV3asZ7sEwTZ3TYG/kwiAhjEx7MnXMLy6IvvvbDDQ/LLmbHp2E08++SSvvPKKX869fv16NmzYQJOjnDkLohKjiEqK0n1afJSTk8Pq1atpcErg+5OUvg235xbcRxxxBIsWLaJf27a8smULBjipYUOSanDL77rMVGeKUWPMdmttSGsijDF5wFPW2n+XWj8OZ5RFhYmRMeZLINlae1yp9acBXwAnWmvnlnPcaGA0QEJCQs9u3fw3n9of2/4AoDCzkKjkKLo3715i+65SQ7gal1O25xwepc9R1fbSZZRXTnXPUVWchZmFuPa46N69O3FxcX55Hp59XDtdFOYWEtcqrtrnKL3dlzjCoQyo+m/i7fZ9BQXUj44u92/qrzJqco4/f/kFCxwUH8+O/HwyCwvp3r17Uee5mpSxa9cu1qxZQ6u4OOLdHYA35eaSUL9+mUnSvP0fqeh6BuN14Y/r7e3/YXn7ZGdns3TpUtq3b0+jSvosVaeMit47q/LH1j8o2FtAwf4Cp3klzgTk/7CmvHlv9WYfb6Snp5Oamlpm/c8//zzLWjugvGMiMYnYBnxqrb2m1PoXgQuttWWvwIF9pgBHWGs7l1o/FKefxGHW2kqbM3r16mUXLVrkc/yleaoONz63kdY3ti5TdejNuPCqqh+r2l66jPLKqe45qopz57Sd5PyYQ1ZWVtHojJo+D88+Oz7bQcb8DNo/3r7a5/BHdW84lAFV/0283X7P6tU81L59uX9Tf5Xh6zn27t1L44YNGdS0KUObNWN7Xh63rl7NrbfeyuOPP17jMq677jreffddXjjoIKLc7eXPb9xIempq0WRpHt7+j1R0PYPxuqjp9famjMr2mTJlChdffDG//fYbhx9+eJnjfCmjovfOqniOtwW2qH9GIP4Pa8qb91Z/zR/Sq1cvKvh8q7AVIhJHZyyBcqdW7wos9eLY84wxSaX6RXQF8oCV5R8m/pa/M9+vwzuLi2kQA5aiTnBSe3399dcUAt3rOVMCN4uLY+jQoYwfP5677rqrxjdRmjt3Ln369CFq/YEpaJrHxbFo3TpcLleJO04++EapOwHcVqOia6Vly5YRFRXFIYccEupQivjSwVMOiMS5gacCxxpj2ntWGGPSgL7ubVUdG0uxDpjGmBjgIuALjcwInvwd+X65Z0Z5ohs4bZuufepcWdt98cUXJERFlbhfyh133MG+fft46aWXanTuXbt2sWTJEo4//vgS65vFxuJyudiwQZP2VtfSpUtp164dCQm69VJtUd0kIhz+a14B1gKfGWPOcd8k7DOc2CZ4djLGtDXGuIwx93nWuSeTmgI8a4y5yhhzKvAe0A64P3hPoawGvevOxDW20OLa6QpIp0pw10QABRkFATl/XXNKmM63Ya1l1qxZdKtXj5hiQ/OOOOIIzjjjDJ577jmys7N9Pv/3338PUCaJSHX34fG1c2W4Xs9gWLZsGV26dPHrOevSe2egjR49utrHVCuJsNb2rHYJfuaekfIUYDnwFvAOzrTcp1hrM4vtaoBoyj7Hy4E3cGa5nAG0AQZYa38JcOiVanBs3flHKMgowLpswJIIT02Ekgj/CNcPvRUrVrB27VoOdzdlFHfnnXeybds2Jk6c6PP5586dS2xsbJk7OjZXEuETl8vF8uXL6dq1q1/PW5feOwPNlyQiEvtE4L5HxgVV7LOWcjqDWGuzgVvci4RA/g5n+GWgmjNiUpyXtWuvmjNqs1mzZgFweDk3aDrppJM45phjeOKJJxgTH0+0D5MIzZs3j169epGYmFiio1pBQQG3JSZG7FwRobJmzRry8vL8XhNR24X7TdZ8SiKMMSOBS4CDgdKNW9ZaW7absYibJ4kIVE2EiTeYOFNuTYQ6v9Ues2bNomPHjjSLKztxkTGGO++8k/PPP5+fDjqo2reUzs7OZuHChdx8881ltkVHR5OWlqa5Iqpp2bJlAEoiaplqJxHGmHuBscCfOHfAVGdEqZb8HfkQDa1btw7I+Y0xxDSIwZWhmojaKjc3l2+++YZRo0bBnDnl7nPOOefQuXNnpq9bx7ENGlRrSuOFCxeSn59fpj+ER4cOHfyeRJRJcKFWJbmeG28deuihIY7Ee1UN2QzEkM5I40tNxJXAc9basim6iBfyd+QT2ySW6ADOEBfdIFp9Imqx77//nqysLM444wwyK0gioqKi+Ne//sWVV17JH/v3l9vsUZG5c5055/r27Vvu9vbt27NgwYJqx12XLVu2jFatWulW27WML0lEE2CavwOR8OZNM8Ca7GwW7tvH+eXMeFZc/s58YptWfge/mopuEE3u+tBUkqnJJPBmzZpFTEwMJ598cqVvRsOHD+e2a65h+o4d1Uoi5s2bR7du3WjcuPyZ8Nu3b8+ePXvYvXt3pTMvygHLli3ze6dKCT1f5on4Fujh70Ak8s3bu5fPduzgpU2bKCgovxbAM7wz0ElETIMYZxRINWZklcgxa9Ys+vbtS/0q7uQYHx/PmU2asCQri1VeDvcstJbvv/++wqYMcJozwPcRGnWNtTYgwzsl9LxKIowxUZ4FuAm43BgzwhjTtPi2YvtIHbTb5SIaWJCRwejRoyksLDtjZEFGATbfEtsk8DUR1mXZs2dPQMuR4Nu2bRuLFy/mjDPO8Gr/Uxo2JCkqimk7dni1//rcXDIyMjjhhBMq3Kd9e2euO43Q8M7GjRvJzMxUElELeduc4QKKf6UzOHMtlMdW47xSi+xxuTgkKYlDk5J4/fXXSU5O5tlnny3RoS1/pzMyI6ZpYF8inmGemzdvVnVzLfPFF18AcPrpp3u1f2J0NKc1bszUHTtYn5PDwVXMlrg8y5kRv7KaCE8SoZoI72hkRmCFchiot+/kD1AyiRApY4/LRfuEBC5ITSXtsst45plnqF+/Pg899FDRPp7hncHoEwFOEuHPu65K6M2aNYvU1FSOPPJIr48Z0Lgx3+zezTMbNjCmXbtK9/0rK4s2bdrQtm3bCvdJTk6mWbNmqonwUiCSCI2MCA9eJRHW2jEBjkMinLWWPfn5NExOxhjDU089RWZmJuPGjaN+/frccccdwIHhnTENq18TUZ03Dc/U15s3b652ORK+Cq3liy++4LTTTqvWzdsaxMRwa5s2jFu3jqfWr2dkVhZJxe634WGtZXlWFgMGDqzynO3bt1dNhJeWLVtG48aNadYspDeBlgBQs4P4RXZhIbnW0sh9V0NjDC+99BL79+/nzjvvJNndMz5/Rz6xjWMxUYG9c17xmgipPdbn5JCenu51f4jiOiYl8X8HHcSzGzcyfPhwPvzwwzLDjNPz89ntclXaH8KjQ4cOzJ8/v9pxBFK4jgxaunQpXbp0qdZcHRIZlESIX+xxORM7NYw90EwRHR3Nm2++yf79+7n++utJHZoalJEZAFFxUUQlRimJqGV+378f8L4/RGm9GjTgshYtmPTpp9x8880899xzJT7Y/vaiP4RH+/btmTx5Mnl5ecSVM2tmXVY6mblx+zLOPffc0AQjAaUkQvxityeJiCn5koqNjWXKlCkMGjSILz/4EgwkdAzObYCjG0Qriahlfs/MpEePHrRo0cLnc5zRuDFNhw3j6aefpl27diWmtv47K4ukqCiv+tG0b9+ewsJC1q9fH7Ap3P3tkj//ZMqUKTz//PNcddVVjBw5MuBl7nO52LFjR9h1qlSfCv/QcEzxC09NRKOYsnlpfHw8n3zyCQlpCVBIwId3esQ0iGHTpk1BKUsCL6ewkOVZWT7XQhT3xBNPcMEFF3Drrbfy4YcfFq3/OyuLQ5KSvOpvEWlzRaxcuZIBAwZwySWXsGzZMq644gpOPPFEfv/994CWuynXmfRNE03VTkoixC/25DujLkrXRHjUq1ePFpe3IKVfCvUOK3vr5kBQTUTtsnT/fgrAp/4QpUVFRfHWW29x7LHHcumll7I8K4sMl4vNeXl0LqfDZXkiZa6I3NxcHnzwQQ477DB++OEHnn/+ebZv385rr73GX3/9xVFHHcUtt9zCvn37AlL+prw8QMM7ayslEeIXLS69lKSkJK5ctqzCMctRiVE0GdikaA6HQItpEMOWLVvKnfRKwkeBtXy/dy/7XJXfMO33zEzijfGqv4I3EhMTmTp1Km3atOGpDRv4zj0xmbdJRMuWLYmPjw/rmog5c+bQo0cP7rvvPs455xz++usvrr/+emJiYrjiiiv4+++/ufLKK3n22Wc59NBDef/99/0+y+vm3FySkpJo06aNX88r4cHnJMIY08MYM9Q9c2WJxZ8BSmTYvHkzrVq1Cqve19ENonG522MlfP2UkcELmzZx44oVvLttG1u3bi13v9/376dLvXrEx8f7reymTZvy+eefY4DJ27cTawztq5iMyiMqKipsh3lmuFyM37SJk08+mby8PD7//HOmTJlCq1atSuzXpEkTJkyYwA8//EDz5s256KKLeHT9erbk+u++M5tyczn00EOrNSRXIke1/6rGmIbGmPnAL8Bk4E338kaxReqYLVu20LJly1CHUYKGeYa/YUuWkHvWWTRo0IAhw4bx+e7dtGvXjhtvvLFEf5bteXlsy8ujez3/N4V17NiRW9u0IdYYOiQmEluND7v27duHXXPG75mZ3L5qFd/v3ctdd93Fn3/+yYABAyo9pnfv3ixcuJDnn3+eVdnZ3Ll6NfP37vVLPJtzc9WUUYv5kho+jHMnzxNxpr8+DzgFeAdYDRzjt+gkYoRjElF86msJX7Nnz6Zfv368/fbb/PXXX1xyySW8+OKLtG/fnn/84x+k5+Xxe2YmQLXuxOkxbMmSMktpnZKSGJOWxlXVfA17aiLC5UZvQ379lSlRUbTu1Inflyxh3Lhx5U6qVZ7o6Giuv/56nuzYkVZxcUz1Qw1edkEBO10udaqsxXxpnD4DGAsscD/eaK39GZhjjHkJuBFQk0Yds3nzZs4666xQh1GCZq0Mf+vWrWPVqlX885//BKBTp068/vrr3HfffTz66KO8+uqrFObnUz8mhiaxsbQM4HwMaYmJ1T6mQ4cO7Nu3L2yazCZOnMjatWuZOXOmzx/c//j7b3Kefppbb72VPjNmlNlenQmtNqtTZa3nS01ES2C1tbYAyAGK34v3Y6Dq+WKlVsnMzCQzMzPsaiKi66s5I9x98803AJxyyikl1qelpTF+/HhWrVrFqY0asb+ggGPq1w+rPjcQXjfiysvLY9y4cRxzzDFVNl9UZdCgQQBMmzatRufZ7O5boSSi9vKlJmIr0ND9+zrgOGCO+3FkzLgifrVlyxaAsEsiTIwhNTU17JKIMt/kIGymJw622bNnk5qaWuHkTm3atGFky5Zc1Lw5sWGWQEB4zRXx5ptvsm7dOl566aUaJ1udOnWic+fOTJs2raiWyBebcnOJ5sB1ktrHlyRiHk7iMB14C7jfGJOGc7vwkcBUv0UnEcHzIV2653c4aNWqlSacClPWWmbPns3JJ59cZc/9hEq2h/I2yGlpaYAzV0T7kEVxoBaid+/eNa6F8Dj77LP5z3/+Q0ZGBg0aNPDpHJvz8mgeF0dsbHAmmJPg86U5YyzwP/fvTwAv4DRhXIKTQPietkpECteaCHCSiHCriRDHihUr2LRpU5mmjEiSlJREy5YtQ14T8eabb7J+/XrGjBnjtyafQYMGkZ+fzxdffOHzOTbl5nKQH4fkSvjxJYnYCywEsNbmW2tvtda2ttY2ttYOs9bu9G+IEu7CvSZCSUR4mj17NlC2P0Sk6dChQ0iTCE8txLHHHuuX2Tw9+vbtS6NGjZg+fbpPx+cXFrItL09JRC3nVRJhjIk2xowxxuwBtgEZxpiPjDENAxmcRIYtW7aQkJBASkpKqEMpo1WrVmzbtg1XFbMhSvDNnj2bNm3aRMzNqyoS6rki3njjDb/XQgDExMRw5plnMmPGDAoKCqp9/Na8PCzQSklEreZtTcS1wH04E0w9CXwGnAM8E6C4JIJ45ogIt57zAAcddBDWWrZt2xbqUKSYwsJCvvnmG0455ZSwfN1UR/v27dm0aRN5IZhevXgthD9uTFbaoEGD2LFjBz/++GO1j/UM7zxIt0mv1bztWHk18Iq19hrPCmPMNcB/jTHXWGvzAhKdRATPlNfhyBPX5s2bOeigg0IcjXj8+eef7NixI+KbMsBpzrDWsiM/P+jful9//XU2bNjAq6++GpBkbMCAAcTExDBt2jT69OlTrWM35uZigJY+XBPdpjtyeFsT0R74oNS6KUA00NavEYnfPfhGQonF38JxtkqP4kmEhA9Pf4iTTz45xJHUnGeuiO15wf0uZV2Whx9+mOOOO47TTjstIGU0bNiQE044waf5Ijbn5tI0NpZ43TOjVvP2r5sMZJRa57lvbH2kTlMSIdU1e/ZsOnXqVCvu7FiUROTnB7XcfT/tY8OGDYwdOzagTUJnn302S5YsYc2aNdU6brNGZtQJ1UkRDzLGtPcsUDQsusR69zapI7Kysti7d2/YNmc0a9aMqKgoJRFhxOVy8e2339aKpgyA5s2bk5SUxLYg1kRYl2X37N306dOH/v37B7QsX2avLLSWLXl5tFJ/iFqvOknEh8CKYstf7vWfllq/wo/xSZgL5zkiwLmpUIsWLTThVBj55ZdfyMjIqDVJhDGG9u3bB7U5Y99P+yjYW+D3ERnl8cxeWZ2hnsuyssi3ljZe3lZdIpe3HSsvD2gUErHCeY4Ij9o4V0R1boIUbjz9Ifr16xfaQPyoQ4cO/LwiON+fPLUQ8WnxAa+F8Bg0aBDPPfccGRmlW7XLcrlcTE9JoW3btjyzbBmJPtzYTCKHV0mEtXZioAMR34XyAyXcayLASSKq254rgTN79my6d+9Os2bNQh2K37Rv357/5eVhrfW5ZmDYkiVFQ19dLhf16tXjl19+ISkpiXr16pGUlERhfmFRLUTq0NSgDY8dNGgQTz75pFezV7788sv8/vvvfPDBB0og6gBf7p0hUiRSkoj58+f77XyRXAsQarm5ucybN4/Ro0eHOhS/at++PbnWsreggIYxvr+t3n333Tz66KNV7pfQLoHETsH7gO7Tpw+NGjVi2rRpVDYn5q5du7j33nvp168fF1xwQdDik9Dx6dVujBmJc6+Mg4HSjV7WWhvQW7YZY6KAO4BrgBbA38AD1tqPvDj2TZwbhZX2nLX2Jj+GWSds3ryZuLg4GjduHOpQKnTQQQexc+dOct23JZbQWbBgAdnZ2dXqDxHKG2x5y3OXyu15eT4nEQsXLuTxxx/n0ksv5brrriMrK4usrCz2799f9PuYz8dQmF9I8pHJQZ2kKyYmhrPOOouZM2dyWmoqURWUfd9997Fnzx6ee+65iJ9ETLxT7Ve7MeZenJtw/QksBkLxzvwgzve/u4GfgYuBD4wxZ1trZ3pxfDowuNS6Lf4NsW4I59kqPTz9NTy1JhI6s2fPJioqihNPPDHUofiVZ5jntrw8DklKqvbxOTk5jBo1ilatWvHf//63winkn819tiZh1sigQYN45513WJGcTOdynuMff/zBSy+9xLXXXsvhhx8eggglFHxJma/E+dZ+s7+D8YYxphlOAvGotfZJ9+pvjDEdgUcBb5KIPGvtgkDFWJds3rw5rJsyQHNFhJPZs2fTs2dPGjZsGOpQ/CotLQ2D73NFPPDAAyxdupSZM2eG5T1oAM444wxiYmL4dd++MkmEtZYbb7yRlJQUHnjggRBFKKHgy1RiTYDqT1/mP2cAccDbpda/DXQ3xrQLfkh115YtW8J6ZAYoiQgXOYWFLFiwgFNPPTXUofhdfHw8jWNiSPdhmOfChQt57LHHuOKKKzjzzDMDEJ1/eGav/DUzs8y2jz/+mG+++YYHH3yQJk2ahCA6CRVfkohvgR7+DqQauuE0oawstd7TcNrVi3M0M8bsMMa4jDHLjTF3GGOi/RplHRHOs1V6KIkID8uzsnC5XLVmfojSmsXFVXvCqdzcXEaNGkXLli156qmnAhSZ/wwaNIiNubkl5sTIzs7m1ltvpXv37lxzzTWVHC21kbe3Ao/yLMBNwOXGmBHGmKbFtxXbJ5AaA3ustbbU+l3FtldmMXArMBSnX8S3wCPAhIoOMMaMNsYsMsYsSk9P9yno2ig7O5vdu3eHfU1EkyZNiI2N1YRT5diVn8/OIE3XvGT/fmJjY+nbt29Qygu2ZnFx1W7OGDt2LEuXLuWVV16JiCYez+yVv+zbV7TuySefZN26dfznP/8hpgYjUyQyefsXdwHFP7QN8EYF+9pqnBdjTH/gSy92/dZa289ddukEwhNTlay1z5ZaNdMYkwncZIx5zFpbZsYYa+3LwMsAvXr1Kq/sOmnr1q1AeA/vBGdGQc+EU6GsQgsnGRkZvLttG//buROAAU2aMGjfPurXD9ytcJbu389xxx1Hkg8dDyNBs9hY9rhc5BYWenXTKU8zxuWXXx7WzRjFdezYkVZxcfyamcmAJk3YmZ/PI488wpAhQ2rV5GHiPW8/7B+g/A9uf/ge6OLFflnun7uARsYYU6o2olGx7dU1GaeGpReatttr4ThHREW3EK6Ns1b6orCwkIkTJ/Lvf/+bbTt3cpL72++MnTs59NBDeeqpp7jooov8Ptpmf0EBa3JyGFFLmzLAqYkASM/Lo3UV0z3nFxZy+eWX07JlS55++mmvywiHW2QfWb8+/9u5k6yCAiZv24a1lieffLLqA6VW8nbGyjGBCsBam8WB+3B4YwkQD3SgZL8IT1+IpT6E4XnHVC1DNUTClNcerVq1YsmSJVCHb0v8/fffc8MNN/Dzzz9z3HHH8X9JSXRwzyh4csOGTG3cmEsuuYSXX36Z559/3q9lL8vKwkLY9ofwx1wUl330ES8ceyyHPvMMgweXHkFe0ic7drBkxw5mzpwZEc0YxR2VnMyMnTv5MD2dHzIyuO+++2jbtm2ow5IQicR31P8BecDwUusvBf601voyv/EwnARiYQ1jq1PCsSaiIgcddFCdrYnYmZ/Pi5s20bdvX7Zs2cLbb7/N/PnzixIIgE5JSfz000+89NJLLF68mB49evD21q1kFRT4JYal+/cTZwy9e/f2y/nCUadOnTDGcMkllzB48GAmTJjAhg0byuy3OjubaTt2RFQzRnGdkpKoFxXFrF27aBITwx133BHqkCSEIq4XjLV2uzHmGeDfxph9wC/ARcApwDnF9zXGfA20tdZ2dD9uC7wFvIdTixEPnAeMAiZYa0NfVxhBNm/eTExMTEQM6WrVqhUZGRnkFBaSUIdqI2bs2MFH6ekU4kypfOedd5KcnFzuvtHR0Vx77bUMGTKEu+66i1dfeYUfMjIY1rw5fRo0qFEcS/bvp3NSEnG1+NbQjRs35ptvvuHDDz9kxowZRbfO7t69O2eddRZx+/eTlpjIhM2bSYmJqVYzRjiJNoYj6tdn/t69XOK+DbrUXRGXRLjdDWQCN3Jg2uuh1trS81dEU/I57sPpM3EH0Byn9mEZcAPwYoBjLlck34fBM7wzKgI+lD1NLnvy82kRHx/iaIJjU24u727fTo/kZEa1aMFNDz3k1XFNmzbl5Zdfps1XXzFxyxZe3LSJ1dnZXFJY6NPfeq/LxcbcXI4P00mU/Omkk07ipJNO4j//+Q9//fUXM2fOZMaMGTz11FO4XC5ijSHfWm5v0ybimjE8hi1ZQo8lS5gxYwa33357qMOREIvIJMJaWwA85F4q269fqce7gHMDFlgdEwlzRHh4kojdLledSSJWZDl9kS9t3ryo0191dEhMZEy7dryzbRv/27WLSy+9lDfffLPatQlL9+8HoGu9etWOIVIZY+jSpQtdunTh1ltvZe/evdx32GH8lplJamwsRwRwFEwwdOvWjW7duoU6DAkDEZlESHjYvHkzHTt2DHUYXimeRNQVK7OzqRcVRYsaNCFEGcOlzZvTMCaGyZMnk56ezscff+z1UNCNublM37mTpKgo0qoYsVCbpaSk0LtBA3rXsFlIJNwoiRCfbdmyhRNOOMFv5wvk8LWiJCJIEyuFg5XZ2XRITKzwjoveMsYwqGlTBjz+OFdeeSX9+vVj5syZNG/evMJjcnJyGDduHI+sWkVidDRXt2pFdBjfpE1EfKMkQnySm5vLzp07I6Y5o0GDBiQlJdWZmoh9+/axMTeXo/34zXfkyJE0a9aMIUOG0LdvX2bNmlXufrNnz+baa69lxYoVHJ+SwvDmzWmgmQxFaqXw7xEnYckzW2UkzBEBB2atrCtJxMKFC7FAp2LDOP3hzDPPZPbs2ezZs4c+ffqwJju7aNs+l4tRo0Zx6qmnUlhYyJdffsncPXu49u+/GbZkiV/mYhCR8KIkQnwSSXNEeNSlJGLBAudO9x38nEQA9O7dm/nz55OYmMhD69bxR2Ym3+3Zw22rVvHOO+9w11138ccff9C/f3+/ly0i4UV1jOITz8RNkZREHHTQQfz9ww+hDiMoFixYQKu4OOpFB+bmtJ07d+b777/n2PbteXT9esCp9fhk4UL12hepQ5REiE88NRGR0pwBB2oirLV+vzdEOLHWsmDBAroEoBaiuFatWnFvWhrvbNtGx8RE+jVsqARCpI5REiE+2bJlC9HR0aSmpoY6FK+1atWKPGvJKiwM2Df0cLBmzRrS09MZFIRaonrR0YyOoERSRPxLfSLEJ5s3b6Z58+YRMVulR12ZK8LTH6JjgGsiRERUEyE+2bJlS0Q1ZUDJqa9b1+JZKxcsWEC9evWqfI4aLSEiNRU5XyMlrGzevDmiOlXCgSRiVx2oiTj66KM1uZOIBJySCPFJJNZEeJKe2tyckZ2dza+//sqxxx4b6lBEpA5Qc4ZUm8ta0tPTI64mol69eiRFRbGnhlNfh3MzwK+//orL5eLYY49l/9SpoQ5HRGo5JRFSbXvd3+QjLYkAaBQbG/KaiEAmIZ5Olb1792Z2wEo5IJwTKhEJPCURUm173B/CkdacAdAoJibkSYQ3Hnyj1B0vb/PuuAULFpCWlkaLFi38H5SISCnqEyHVtjuSayIiJInw1YIFC9QfQkSCRklEBCi0li25uaEOo4inT0EkJhENY2LYk59PobWhDsXvNm3axIYNG5REiEjQKImIAIv27eP2VatYn5MT6lAApzkjKiqKZs2ahTqUamsUG0sBkFlQEOpQ/O7HH38EUBIhIkGjPhERYF1ODhb4ed++UIcCOM0ZzZo1IyYm8l4+g//7XyYNGcJx779Pjx49fD7P9u3bycjIoHnz5iQnJ5e4F4c/Ohv6co4FCxYQFxfHEUcc4bc4REQqE3mfAnXMsCVL+Oyii+D991mXlhbqcACnJiISO1XCgc6gmzZtKjeJKNOhEcp0aiwsLOTwww9n27ZtACQmJtK8efOipVmzZjRv3pwOHTrQv39/2rRp4/fnUZ4FCxZw5JFHEl+LZ+MUkfCiJCICrFixAoCFCxeyefPmkH+A73G56BaB/SHgQBLhuZW5L1auXMm2bdu4+uqr6dixI9u2bWP79u1s27aNtWvX8uOPP5Kenk5hYSEA3bp1Y8CAAQwYMIDjjz+ehIRyEpUays/PZ9GiRYwePdrv5xYRqYiSiDBnrWX58uWccsopzJ49mxkzZnD11VeHNKbd+fkR2akSDnQGrUkSsWjRIgCuv/56Dj/88HL3KSgoYNmyZcyaNYv//e9/PP/88zz11FMkJiZy8sknFyUVnTp18jmO4v7880+ys7PVH0JEgkodK8Pcli1b2L9/P+eddx5paWlMmzYtpPEUWEtGQUHIa0N8FRcXR2pqao2SiJ9//pmEhAS6du1a4T7R0dEcdthh3HrrrXz55Zfs2rWL6dOnc9VVV7FixQpuuOEGDjnkEM4880x++uknn2Px8EwypSRCRIJJNRFhztOU0blzZwYNGsQrr7xCVlYWSUlJIYlnr8uFJTKHd3q0atWqxjURRxxxRLU6ltarV4+BAwcycOBAAFavXs2UKVN46qmn6N27N2eddRZjx46lV69ePsW0YMECmjdvTtu2bX06XgJPHV2lNlJNRJhbvnw5AJ06dWLQoEHk5OTw9ddfhyyePRE80ZRHq1at2LBhg0/HFhYW8ssvv/j8Ye/Rvn17/v3vf7NmzRrGjRvHDz/8wNFHH83gwYP55Zdfqn0+zyRTRnfuFJEgUhIR5pYvX058fDxt2rThpJNOon79+iFt0ojkKa89unfvzpIlS8jOzq72scuXLyczM7PGSYRH/fr1ueuuu1i7di0PPvggc+fOpWfPnpx77rksXrzYq3Psc7lYvny5mjJEJOiURIS5FStW0LFjR6Kjo4mLi2PAgAFMmzatqOd/sEXylNceffv2LRrNUF2eY3r27OnXmBo0aMA999zD2rVrGTt2LHPmzOHII4/ktttuw1Yxu+YqdzKkJEJEgk1JRJhbvnx5iR78gwYNYuvWrfz8888hiWdPfj4GaN68eUjK94c+ffoAMH/+/Gofu2jRIpKSkjj00EP9HRYAKSkp3Hfffaxdu5arr76ap556imeffbbSY1ZmZxMVFeW32hEREW8piQhjBQUFrFq1ikMOOaRo3VlnnUVUVFTImjT2uFzUj44mNjY2JOX7Q9OmTencubNPScTPP//MkUceGfDZOhs2bMj48eO54IILuPXWW/nkk08q3Hdldjbdu3cnOTk5oDGJiJSmJCKMrV+/nry8vBJJRJMmTejbty9Tp04NSUy7XS4aRuB016X17duX77//vlrNQgUFBfzyyy9+b8qoSFRUFG+99RbHHHMMw4cPZ+HChWX2KbSWVZofQkRCRElEGCs+MqO4QYMG8dtvv7F+/fqgx7TH5aJRBNdCePTt25ddu3bx119/eX3MX3/9RVZWVlCbDRITE5k6dSrNmzdn0KBBrF27tsT2LXl5ZBUWKokQkZBQEhHGPElE8ZoIgMGDBwMwffr0oMdUW2oijj/+eKB6/SI8nSqD3fegWbNmzJw5k9zcXAYOHMiePXuKtq1Up0oRCSElEWFsxYoV1K9fv0wnxs6dO9OpU6egN2kUWsveWpJEdOrUidTU1GolET///DP16tUrk9QFQ5cuXfj4449Zvnw5F154IS73iI2VWVkkRUWFJCYRkYhMIowxtxhjphljthhjrDFmTDWPP9cY86sxJscYs84Yc48xJjpA4frMMzKjvAmEBg0axDfffMO+IN4ePKOgAAs0qgVJhDGGPn36VLsm4qijjiI6OjQvlZNPPplXX32Vr776iu/69OGSP/9kx8EHc8JppxEVFZH/yiIS4SL1nedqoBnwaXUPNMacAXwELATOBJ4D7gEe9mN8frF8+fIKv2EOHjyYvLw8vvzyy6DFszs/H6BW1ESA0y/Cc0fOqrhcLhYvXhzyYZQjR47k3nvv5bXXXuOee+7hzz//VFOGiIRMpCYR3ay1vYF/+nDso8A8a+1oa+031tqncRKIm40xLfwaZQ3k5uaybt26CpOIvn370qhRo6A2aXhmq6wNNRHgXEOA77//vsp9ly1bRnZ2dtBGZlRm7NixDBs2jIcffphCdaoUkRCKyCTCWuvTdI3GmDbAEcDbpTa9BcTi1EyEhdWrV1NYWFhhEhETE8OZZ57JjBkzKKxiRkN/8SQRDWvB6AxwZp2Mj4/3qkkjVJ0qy2OM4fXXX+f4448nOjqaY445JtQhiUgdFZFJRA10c//8s/hKa+0aIAuo+N7OQVbR8M7iBg8ezI4dO4p66AeaZ8rr2tKcER8fT69evbxOIurXr1/p3yOY4uPj+fzzz1mwYAGNGzcOdTgiUkfVjk8D73nebXeXs213se0h500SMWDAAGJiYvhl3z4OCcKtwT2zVcbUojtFHn/88Tz99NNkZ2eTmJhY4X4///wzRx11VFh1YExOTg5ozYhuXS0iVQn5O6Ixpr97hEVVyxx/FOf+WV79f4WfjMaY0caYRcaYRenp6X4Io2orVqwgNTWVRo0aVbhPSkoKJ554Ir9kZgYlpt35+bWmFsLDczOu8maD9MjPzw+LTpUiIuEm5EkE8D3QxYtlhB/K2uX+WV6NQ8Ni20uw1r5sre1lre2VmprqhzCqVvrGWxUZPHgwm3Jz2ZaXF9B4rLW1ZqKp4ry5GdeSJUvIzc1VEiEiUkrIPxGstVmA93MP14ynfrYb8INnpTEmDUgClgYpjiotX76cM844o8r9Bg0axE033cQv+/ZxZpMmfo3BWstvv/3GBx98wOurVrE1L49TKqkZqcqq21b5MTr/aNKkCYceemilSYTnjqnhMDJDRCSchDyJCCZr7XpjzG/AcODVYpsuBfKBz0MSWCmZmZls2bLFq1kI27dvz0Hx8fzqpyTCWsu63FzuvvtuPvjgA1asWEF0dDRdEhIY2KQJxzVoUOMywk3fvn35+OOPK7wZ16JFi0hJSaFDhw5BjkxEJLxFZBJhjOkFpHGgOaarMWaI+/eZ7toNjDFfA22ttR2LHX4XMN0YMwGYDByJM9nUc9barcGIvyorVqwAKu9UWdxRycnM3LmT/QUF1PNxNsWcwkKm79jBDxkZbM3LI/qxxzj55JO57bbbOO+88/iyXz+fzhsJ+vbty2uvvVbhzbgWLVpEz549w6pTpYhIOIjIJAK4HhhZ7PGF7gWgHbDW/Xs0pZ6jtXamO+G4HxgFbMOZbGpc4MKtnopuvFWRO6dOZVrfvsTeeSfDRo2qdnl7XS6eXL+eNTk5dKtXj4FNmvDIb78RrP4foVb8Zlz1Sm1zWcvvv//OjTfeGPzARETCXEQmEdbaUTgJQFX79atg/cfAx34Nyo88NREdO3asYk9H79696dq1K6NHjyYnJ4drrrmm3PttlGflypWMXbOG3S4Xt7Rpw1H16wOUSSBq83C/jh07Ft2M6/RS2zbk5JCXl6dOlSIi5VD9bBhavnw5rVu3JsnLuR+io6OZN28ep512Gtdddx2XX3452V5MQLVw4UL69OnD/sJC7m7btiiBqGuMMfTt25d58+aV2bYmJwcIj5kqRUTCjZKIMFTZjbcq0qhRI6ZNm8b999/PxIkT6du3L2vWrKlw/88//5x+/fpRr149xqSl0TEIk1WFs759+7Jq1Sr2umfl9FidnU2jRo1o165diCITEQlfSiLC0IoVK6qdRABERUUxZswYpk+fzpo1a+jVqxezZs0qs9+bb77JoEGD6Ny5Mz/88AMt4+P9EXZE89yMa3lWVon1a3Jy6Nmzp9fNQyIidYmSiDCzc+dOdu3aVaN7NAwcOJBFixbRunVrzjzzTD5JT6fQWqy1fJqezuWXX84pp5zCt99+S4sWYXPj0pA66qijiI+P5+9iSUReYSEbcnLUlCEiUgElEWGmuiMzKtKhQwd++OEHhg8fzofp6TyzYQOvb93KB+npXHrppUyfPp36dbQPRHni4+M5+uijWV6sL8mG3FwKUH8IEZGKKIkIM56RGTVNIgCSkpKYNGkSI1u04LfMTGbv3s2gJk2YOHEicXFxNT5/bXP88cez3uXivEWLGLZkCan/+hegmSpFRCqiJCLMLF++nOjoaL915DPGcHrjxoxp146bWrfm4ubNNWlSBUrfjGvRokU0adKEtm3bhjgyEZHwFJHzRNRmy5cvp127dsTGxvrtnLV5jgd/8tyMa968eZx44oksWrSIXr16qVOliEgF9JU0zPg6MkNqrnHjxnTp0oX58+eTnZ3NkiVL1JQhIlIJJRFhxFrr0xwR4j99+/bl+++/Z/HixbhcLnWqFBGphJKIMLLb5SIrK6tGwzulZvr27cuePXt4++23AY3MEBGpjJKIMLIlLw/wz8gM8Y1n0qmJEyeSmppK69atQxyRiEj4UhIRRrYpiQi5jh070qxZM/bv369OlSIiVVASEUa25OaSkJCgb78h5LkZF6gpQ0SkKkoiwsjWvDw6duyoeRxCzJNEaGSGiEjlNE9EGNmal8exasoIuYsuuohffvmFU045JdShiIiENSURYaLAWrbl5WlkRhho3bo177zzTqjDEBEJe6o3DxM78vMpQJ0qRUQkciiJCBNbNTJDREQijJKIMLElNxdAzRkiIhIxlESEia15eSRGRdGsWbNQhyIiIuIVJRFhYmteHi3j4jS5kYiIRAwlEWFia14ezePiQh2GiIiI15REhIG8wkJ25OfTUkmEiIhEEM0TEWLDlixh6dKl2G7duOC550IdjoiIiNdUExEGli9fDmh4p4iIRBYlEWHAk0RoeKeIiEQSJRFhYMWKFTRr1oyUlJRQhyIiIuI1JRFhYMWKFWrKEBGRiKOOlWFg1qxZ7N69O9RhiIiIVItqIsJAfHw8LVq0CHUYIiIi1aIkQkRERHyiJEJERER8oiRCREREfBKRHSuNMbcAJwO9gBbAWGvtGC+PfRMYWc6m56y1N/kpxIgybMmSUIcgIiIRKCKTCOBqIAP4FLjWh+PTgcGl1m2pYUwiIiJ1SqQmEd2stYXGmBh8SyLyrLUL/B2UiIhIXRKRfSKstYWhjkFERKSui8gkwg+aGWN2GGNcxpjlxpg7jDHRoQ5KREQkkkRqc0ZNLAZ+BpYACcB5wCNAJ+Cq8g4wxowGRrsfLgEOC3iUIiIiYc5Ya0MbgDH9gS+92PVba22/UsfGAPlUY3RGBTE8A9wEHGKtXeHreUREROqScKiJ+B7o4sV+WQGMYTJOEtELUBIhIiLihZAnEdbaLOCvEIdh3D9DWy0jIiISQepqx8rShuEkEAtDHYiIiEikCHlNhC+MMb2ANA4kQV2NMUPcv890125gjPkaaGut7eh+3BZ4C3gPWAnE43SsHAVMsNauCtZzEBERiXQh71jpi0qmrgZoZ61d695vDpBmrU1zP24MvA4cCTTHqX1Y5l73ouafEBER8V5EJhEiIiISeuoTISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESIVJHGWPSjDHWGPOp+/Eo92Nvl7XV2d/LWN4MxnMXEf+ICXUAIhI2FgNjS607AjgH+BaYU2rbHqBhqXU3ASnlnEdEaiElESICgLV2MU4iUcQYMwoniZhjrR1T1Tnc+6d4s6+IRD41Z4hISLkTjzXuhyNLNYOkFduvgTHmIWPMX8aYHGPMTmPMp8aYHuWcc617aWyMGW+M2WyMKTDG9HMv1hgzxhhzvDHmO2NMpjFmizHmMWNMtPscI4wxvxtjso0xq4wxV5RTTiNjzMPumLKMMbuNMX8aY140xiQH5oqJhA/VRIhIqC0GngNuBH4DPi22bQ+AMaYp8B3QBfgGmAE0AS4ATjPG9LfW/lDqvPHAbCAO+AiIBjKABu7tvYF/ATOBl4Ez3Y8xxmwD7gE+c5d7MfCaMWaVtfZb9z4GmAX0Ar4AprrL6gCMAh4GMn2+KiIRQEmEiISUtXaxMeZZnCRicQVNIc/jJBDDrLWTPSuNMQ8BP+MkAd1LHdMCWARcYK3NK3ZMP/evA4CzrbUz3OvvBVYC/wR2AUdaa9e5t73hPtetOP1DcJd3NPCMtfaW4gUbYxoAOd5eA5FIpeYMEQlr7lqIocCM4gkEgLV2JfAKcJgx5rByDr+zeAJRymxPAuE+136cGo5EYIIngXBv+xlYBZRpOgGyS6+w1mZUUq5IraGaCBEJd0fjfOFJNsaMKWd7F/fPQ4E/i63PttYuqeS8v5WzbmsV23oXe7zUXd6/jTFH4CQgc4E/rbWVDmkVqS2URIhIuGvs/nmSe6lIvVKP06s4b0Y561xVbCt6z7TWuowxpwAPAOcDZ7k3bTDGPGStfbmK8kUinpozRCTceT7Qx1lrTSXLxFLHBbw2wFqbbq29DmiJ09RxG2CACcaY8wJdvkioKYkQkXBQ4P4ZXc62hTgJwbHBC6d6rLWF1trfrbVPAZe4Vw8OZUwiwaAkQkTCwW73z4NKb7DWbgU+BE41xlxXersxJsoYU1kzR0AYY9oZYw4tZ1Nz988yHS5Fahv1iRCRkLPWZhpjFgInGWNexRkJYYGXrLV7getwOk6+aIy5CvgJZw6Gg4HjgGZAQpDD7gF8YoxZACwBtgPtgHOBLGB8kOMRCTolESISLkbgTDp1IQcmhHoP2Gut3WmMOQ5nLokL3ftaYAswH/gg+OGyCHgMOBmn6aIBsBl4H3jUWrssBDGJBJWpayORjDFnAHcAXYFGOD24vwfGWGuXhjI2ERGRSFIXk4hLgKOAH3ESiIOBO4E2QPfiE8yIiIhIxepcElEeY0xn4C/gNnfvahEREamCRmc4drp/5oc0ChERkQhSZ5MIY0y0MSbOGNMJmIAzpe17IQ5LREQkYtTl0Rk/Aj3dv68ETrHWbg9hPCIiIhGlzvaJMMZ0wRmS1R5nqtrmwPHW2rXl7DsaGA3QtWvXnkuWVHZPHxERkVrFVLihriYRxRljGgJrgfestddWtm+vXr3sokWLghGWiIhIOKgwiaizfSKKs9buwWnS6BjiUERERCKGkgjAGNMcZ0rdVaGORUREJFLUuY6VxphPgF+A33FuMXwIcDPgAjRHhIiIiJfqXBIBLACGArcCccAGYA7wSHmdKkVERKR8dS6JsNY+hnPTHBEREakB9YkQERERnyiJEBEREZ8oiRARERGfKIkQERERnyiJEBEREZ8oiRARERGfKIkQERERnyiJEBEREZ8oiRARERGfKIkQERERnyiJEBEREZ8oiRARERGfKIkQERERnyiJEBEREZ8oiRARERGfKIkQERERnyiJEBEREZ8oiRARERGfKIkQERERnyiJEBEREZ/EhDqAus6MNSUe2/ttiCIRERGpHtVEiIiIiE+URIiIiIhPlESIiIiIT5REiIiIiE/qXBJhjBlijPnIGLPOGJNtjPnbGPOIMaZ+qGMTkbrLmLKLSLirc0kEcBtQANwFDABeAq4DvjTG1MXrISIi4pO6OMRzkLU2vdjjb40xu4CJQD9gdkiiEhGpgoaES7ipc9+8SyUQHgvdPw8KZiwiIiKRrM4lERU4yf1zWUijEBERiSDG2rpdHWaMOQj4FfjNWntaBfuMBkYDHHzwwT3XrVvnx/JLPq7jfw6ROqu8jpSl3w/0fiEhUmE33zpdE2GMSQY+A1zA5RXtZ6192Vrby1rbKzU1NWjxiYiIhLO62LESAGNMAjAVaA+cZK3dGOKQREREIkqdTCKMMbHAR8AxQH9r7R8hDklERCTi1Lkkwj0XxDvAqcBAa+2CEIckbhq+JiISWepcEgG8AFwIjAP2G2OOLbZto5o1RCRSqeOlBFtd7Fh5pvvn3cAPpZarQhWUiIhIpKlzNRHW2rRQxyAiIlIb1MWaCBEREfEDJREiIiLiEyURIiIi4hMlESIiIuITJREiIiLiEyURIiIi4pM6N8RTRPxHs4weoGshdZGSCJFaSh9qIhJoas4QERERnyiJEBEREZ8oiRARERGfKIkQERERn6hjpYQNO6bUivtDEUV4UKdIEYkESiJE6iglKiJSU2rOEBEREZ+oJkJEpI4wpuw6qwooqQElEWFOVc4SyfT6FandlESIRCB9OEce/c2kNlKfCBEREfGJkggRERHxiZozRCRkSlfxg6r5RSKJkgiJGGpTFhEJL0oiRKpJyYyIiENJhASNPnylThtT6vVeh6d1l9pDHStFRETEJ3WuJsIY0xq4A+gF9AASgXbW2rWhjEv8o6a1HeroJyLivTqXRAAdgaHAz8Bc4PTQhlMFVYHWOkpURKS2qIvNGd9Za5tba88CPgh1MCIiIpGqztVEWGsLQx2DBI4dU2qFam5ERAKmLtZESBj7Efgj1EGIiIhXlER4wRgz2hizyBizKD09PdTh1FrvA32BIYB6CIiIhD8lEV6w1r5sre1lre2Vmpoa6nBqpcmTJ3MJ0ARYDvwU4nhERKRqda5PhISft99+m5EjR3ICMBloD0wCeoc2LJ9pUi0RqSuUREhITZo0iVGjRtGvXz+mffMN9YDzgPeAp3NziY+P92t5+oCXgNFwbKmD1JwhIfPGG28watQoTj31VKZPn0499/oRwC5gxowZIYxOzFhTYhERKa1O1kQYY4a4f+3p/nmmMSYdSLfWfhuisOqWn+GKMVdw+umn8+mnn5KYmFi0qT/QAqeW4vzzzw9ZiCISGt7UGKpWMTzUySSCspNMvej++S3QL7ih1EGLgOlw5pln8vHHH5OQkFBicwwwHHhuxgx27NhB06ZNgQiaA0LV2iJSR9TJ5gxrralg6Rfq2Gq9n4DpQCf45JNPyiQQHiMAl8vFe++9F8zoRESkGupkEiEhshOYCRwCXESlnSYPB3r06MGkSZOCFJyIiFSXkggJnvXun6fhVUPayJEjWbhwIcuWLQtkVCIi4iMlEXVAuPSyv+YzSAEKXiinf0M5LrnkEqKjo3nrrbcCHZqI1DLh8r5X2ymJqAUi5Z/lB5wJpLx90bVo0YIzzjiDt956i8JC3TdNRCTc1NXRGRJk+/bt40/g3GoeN2LECC6++GLmzJnDKQGIS8QbdWk4YV15ruV94aqtzzWQlERIUCxatIhC4NhqHjd48GAaNGjAxIkTlUSI1BK1JVGpLc+jJpRESFAsWLAAqP79MBITExk6dCiTJ0/mBSDZ75FFKM1F4TV94xRfKUmomvpESFAsWLCAzkBjH44dMWIE+/fv5xN/ByU1N8aWXESkTglJTYQxppm1dnsoypbgs9ayYMECzvTx+OOPP5527doxac0aLvNrZBIJ9G1QJHyFqiZiUYjKlRBYu3Yt27dvr3Z/CA9jDCNGjOBrYKM/AxORaouU0WASHAGriTDGDK5kc/lzHUut9MMPPwDV71RZ3GWXXcbYsWN5B7jDL1GFUHnV/urTICIRKJDNGZ/g3NCqvFS1fgDLlTCzYMECkpKSOCwry+dzdOjQgb7AJOBflP+iAlgFfAGcDzT3uTQRkZqrC516A5lErACutNauKb3BGLMhgOVKmFmwYAFHH300Md/W7C7rI4BrgF84cA93gFWrVvHBBx/w/vvv86t73WbgwRqVJn6hUSR1kvqx1B2B7BMxEWhawbbxASxXwkh2dja//vorxx13XI3PdSEQj/PCWgU8+uij9OzZk44dO/Lvf/+b+Ph4nsK5v9cvNS5NIoXa6GupAmBLqIOQqgSsJsJa+0gl28YFqlwJL7/++isul4tjj61JjwhHI2Aw8CLwPMC//03v3r158sknGTJkCG3btgVj+A34ssaliWoRJKS+Br4H+qHXXhjTZFMSUEWTTPWu7jRT5fsXsBfnRqBD1qwhLS2tzD5H4vSd2Ib6RYhUWzgkjzuABUA9YA7cf//9jBkzBmPCo6bJ5XKxdOlS+BnYBFjghBAHFSJBSyKMMQdZazcFqzzxXiA7//zwww+kpaXRokULv5yvFzDL86CcBAKcJALgV2CAX0oVkaD6AufT6VpgNjzwwAMUFBTw4IMPBj+RsDjfXDbB7bffzk8//cTPP//M/v37ne0JOE0vv8MdCXdw991306BBg+DGGELBnCfi16p3kdpmwYIFfmnKqI4j3D/1ghNvqV9F+Jg1axYsB07CGcc3CK6++mrGjRvHXXfdhbVB7KS5HPgv8CzwATz//PPk5eVx5ZVX8vbbbwMrIKcQ8jdBwSgef/xxOnbsyMsvv0xBQUHQwjSm5BJMwWzO0H9mHbNx40Y2btwY9CQiBWiPkgiRsFVBk0l+fj4333yz0wHK0wIaBePHjyc6OppHH32UgoICHnvssYCGt2bNGm666SaYCjQBzgRaQ8Z/M4iLiyva79JLPb+1At5g0aLrufnmm7nmmmt44YUXnG807SsvK9JHsgQziYisKyM19uOPPwIEPYkAp0lDSYRIZHnppZdYtmwZXEyJT6eoqChefPFFoqKieOKJJ5xv+fXx+1fT7OxsHn/8cR599FGio6OhP84see5YiicQ5enZsyfffvstH330EbfffrvTOaszcDpOMlILqWOlBMyCBQuIj4/nyCOPrHpnPzsS+AjIyMioU+2TImHBh86ZO3bs4P7776d///581fmrMtuNMfz3v/8lOjqap59+2qmpGID/Eom/4bDDDmP16tUMHTqUp556ijavtan2aYwxDBkyhLPPPpvEsxNhLvACztCyI6ofVrjXVOgunhIwCxYs4Kijjqoyew8ET9ry22+/Bb1sEam++++/n3379vHMM89UmBgYY3juueecpoYfgc+peR33LuBdYDLEx8fz1VdfMWXKFFq3bl2j0yYkJDgjNv4JpAGfAj/VMNYwpCSiNgjD2zHn5+ezaNGikDRlQLHOlb+qUUMk3P3xxx+MHz+ea6+9lsMOO6zSfY0xTk3EcTgfyu8Ce3wo1AXMwaklWAOcBosXL+bUU0/14WSVqA9cgjML3kx48skn/Xv+EAtmc4amuq5DfvvtN3JyckKWRLQEmuG8KYhIOLPcfPPNpKSkMHbsWK+OMMY4/QwaALOBF+DpNk9zww03EBNT9cfa119/DS8BO4FuOOdKqbrPQ7WV+FKXD1zG7bffTmZmJvfff3/YzHtRE0GribDW9qx6L6ktPJNMhSqJMLg7V6omQiTMTeXrr79m7NixNGni7n3oTe2qwamN+D8gDW699VaOOeYYFi1aVGFJW7duZdiwYfTv3x8KgUtx5tNP8efzqUgs8A6XX345Y8eO5fbbbw/ucNUAqZMdK40xbYBncCY+NMBXwE3W2vUhDSySlcqoFwwfTsuWLWnTpvodk/zlSOCpJUvIy8sLSb8MEalKLnArXbt25dprr/XtFA2BYfBh9w/55z//Se/evbn++uud2S7j3fsUwgsvvMDdd99NdnY29913Hw8UPOB8rgdVNK+++ir16tXjqaeeciasGl9Aie/zETbFd9CTCGPMSJwWooNx5voqzlprOwS4/CScCrBcYCROt5yHgG+MMYdba/cHsvxIVd0ewp5JpkJZXXckTt+MJUuWhGSEiHihvG+ZEfYmGlwFwCigC3AHEB3SaGruOWAVzzwzi9jYGnyiG7jgggvo378/d999N88//zwkA2fh1DJMh+s3X8+pp57Kiy++yCGHHMIDYx/wz1OopqioKP7zn/9Qr14993wX+4HXidTv9EHtWGmMuRd4A2dmjsXAt6WW74IQxtU403+ca6391Fr7Gc7gm7Y4d5qWGkrHuT23P+7cWRNF01+rSUNqjYnA28DdwMmsXx/JladbgQeBQZx++ul+OWNKSgr//e9/+eGHHyAJmAK8DOyFd999ly+//JJDDjnEL2XVhDGGRx55hAcffBB4C2dijLwQR+WbYKc+VwLPWWtvDnK5xQ0GFlhrV3pWWGvXGGPmA+cAT4csslriR/fPUPWH8OgA1K9fX0mE1ApZWVnAvTgTJPwD+D969OjBq6++ygUXXBC8QPxygy4L3IJTIfxUjUMqrXfv3jAaZ/TGPuAEuOSSS6p/ogDejMwYwz333MO999bDuRbHAHficg3xqnNouAj2EM8mwLQgl1laN+DPctYvAboGOZZaaQEQHR1Nz56h7UsbBfTo0UNJRKQLwyHMofDss88Cm4EngBHAr3Tq1IkhQ4YwevToAzeEigiPAZOBe4BOgSkiGqfj5elAYmCK8I+bgfeBbOASOnXqxPPPPx8xf08TzN6hxpjpwNfW2meCVmjZGPKAp621d5Za/xBwp7W2TApojBmNk9eSkJDQs1u3bv4L6OefAacJIBWg9Aeve3uR8j6Yq9qnutt9OEfJzctJSiqgS5cuAQ2z8kvhXNFmzTawY8eOA30ignAt/FVGLs77YIwvZfgxzgpfm34sw6/nCEUZ1TiH1//rxfZxuVz88ccf1C8spGOxzfaoo9i8eTNbt24lISGBdjk5JFXneXizj5+vxe7du1m9ejWNgXZ+KMPn984wfO3tAbbWq8f+/fuJjo6mWbNmNNuypWSTgS+vPS+lp6eTmppazul/nmWtLf+myNbagC44Xwg9S0fgd5w0ummpbVFAVBDiyQMeKWf9OMBV1fE9e/a0fgXWgu3p/lnRdlvRdm/2qe52H85xYJPLQrL9xz/+EfAwy3Nge08L1r7++usWsH///XfQroU/ytgFtgnYE8LgdVHha9OPZYT6env3+i6wsLXCS1Hj61lJnDfccIONioqySyvY/tVXX9mWLVvaOLDPgC0M5fWuZJ/58+fb+Ph4ezzYbD+V4fN7Zxi/9ubPn2/PPfdca4yx8WCvAftXTf4PvVTJ5xsVLcFoznDhzLKRD/wNHIbTuXJbsfWeJRg9S3YDjctZ38i9TWpkKZAZ8v4QHp4aiEhr0ngQZx6cuTjNQxIOHsfpf70iqKWuWrWKl156iauuuoouFexz6qmn8vvvvzMAp3L8dJye6+Fk1apVnHPOObRp04ZPKDs0Tw7o06cPn3zyCcuWLWME8CZwKE5b/B133MF3332Hy+UKaYwewUgiHii1jC1nnWd5MAjxLMH5W5TWFecTUGoktJNMlda1a1diY2MjKolYvnw5z+OMg24E1K5JciNVJs5fIpfgvE0dcPfddxMbG8uYMWMq3a9p06Z8CrwI/IwzOuniiy9m+fLlAY+xKrt27WLgwIEUFhYyc+ZMmoY6oAjRuXNnXgbW4vT4bwk8/fTTnHTSSaSmpnLJJZfw9ttvszOUQVZWTVEbF+AmnNqR9sXWpeHUhNxa1fGBas6YEICqQ5+3+1zday1cYaGJLSwsDHiY5TmwfULRPkceeaQ9/fTTg3YtalrG4MGDbTLYLWDvAmvArlixoiYXo0ZxVvjaDMK1CJcy4CkLWOhvIcouW7bM5zi8/l8H++OPP1rA3nfffdUqYzfYe8DWq1fPRkdH2yuvvNKuW7cuONe71D45YE888UQbFxdnv/vuO7+X4fN7Z4S89kpv37t3r/3www/tqFGjbLNmzSxgo8D2ATujsuvlhQkTJlS0iYqWCjfU1gVnHrOVwB84QzoHA78Bq4Hkqo4PVBLhr3/Y0L3JepauFgYGJUxvy7jiiitsamqqk9iE+RvL119/bQH7sHv9ZrBxULaPSSheF8EoIwzfyLOzsy20tHCyhe0W6tlLLrkk4HEWgj3ppJNss2bNbEZGhk/n2Lp1q73xxhttXFycjYuLszeC3RbE10Uh2MvAAvadd94JSBm1+bVX1faCggL7008/2ftw+oZ8XNn1qhkqWircUJsXnNkyPwIycEYRfwqkeXOskojytzurd1vn29qDQQnT2zKef/55C9iNGzcG5Vr4WobL5bKHH364bdu2bYlOZ1eCTUxMtOnp6TW/GP7cHsBrEU5lvPTSS+7X9VfuzXdaY4xdsmRJQOOchvPh+8ILL9S4jHXr1tkrr7zSRoGth1PDtSoIr4ux7ufwwAMPBKyM2vza82q7t/vUDBUtFW7QoiSiOudwVs9yv9l+GZQwvS1j3rx5FrDTpk0LyrXwtYxXXnnFAnbKlCklti11vxGPGTOm5hfDn9sDeC3CpYy8vDyblpZmobeFQvfmHTY5OdkOHTo0YHHmg+0KtlOnTjYvL89vZfwF9iL36wmwR4B98MEHSyZEfnpdvOUuYySUbd7Ua89/ZXi7T81Q0VLhBi1KIqpzDmf1fRaMhT1BCdPbMjIyMqwxxvk2FA7/9OWUsXfvXtusWTPbt2/fcptdzj77bNu0aVOblZVVs4vhz+1+KiMf7CyweQGK88CmvIqfSgXnmDRpknU+cKeW2HzPPfdYwP7+++9+vRae5VWcD+CPPvrIr9fCs3412Kdw2tE9CcWhhx5q77rrLvszxYaIVqOMLVu22ClTpth//OMf9jD3OfuBzQ3j114o/tf9Xoa3+9QMFS0VbtCiJKI653BW97RwXNDCrE4ZnTp1suedd55frkUh2PU4Hcb8db3vvPNOC9iffvqp3H2+/fZbC9iXXnqp5hfDX9v9VMY4nA+cM8Bm+CnOvXv32jlz5tgnn3zSwsUWOlonwX2l/KdSzjkKCgpsly5dbPfu3a0zR8SBzbt27bINGjSw559/vl+vhQWbCbYV2OMIwDf4cl57mzZtsi+88II99dRTbXR0tAVsW7AXgr0Op1Pn888/b9977z371Vdf2d9w+uqsxaltuOqqq+whhxxiPclIvXr17Onuv+ueMH/tBfx/JBhleLtPzVDRUuEGLUoiqnMObnZ/ozkVy5jy4wzl/9LQoUNtWlqaz9di586d9v3337dXX321TXO/WV7qpyeyBmx8fLy99NJLK9ynsLDQHn300bZjx47W5XKF5nURgDLWgU0EexjYaLBHgd2yZUu1y9iEM8nScLCdO3e2xhjr+VCDthYusE6CG2thrldxfvjhhxawkydPLjeEMWPGWMD+8ssv/rme7vUPueOeF4i/WRX/6+np6fZ1sIPAdsaZ8KzktSy7NGzY0A4aNMg+8cQT9scff3SaXyLgtVfVtfBbnDXlj2vhhygqWircEMgF6AEMxZm5ssQSiniqs9TVJKLKUwx0v6n8X3gmEY888ogF7C4vC8kF+w1OB7Sjjz666I20QYMG9hyw5/nxjX4oTsfJDRs2VHqO999/3wL2448/Ds3rIgBlnI+TRKzDGZ6WBDYtLc3+9ddfXp2joKDAjgfbwP33OAjsOeecYx988EH7+eef2+3btxc7dJeFThaa2fXr11caZ2FhoT3yyCNtp06drMvlKjeEPXv22IYNG9rBgwf77XpvB1sf7LmB+pt58b9eent+fr7dtm2bXbJkiZ0zZ479AOxLYF8EuxicpDbQcZYnGNciHPjjWvghioqWCjcEYgEaAvOBAvdS6F48jwuCGY8vi5KICk7REUtjLPeHZxLxv//9zwJ2theFfMeBD6VosH379rVjxoyx8+fPt/n5+dbiVDm3xvnmXOZNtBpPZJ67nPvvv7/Kc7hcLtuuXTt73HHHheZ14ecyPv/8c1t8OKsF+xPY1NRU27hxYzt//vxKz/H333/bE0880QL2FCqeFrjk4Ust1LdHHXWU3b9/f4Vxzpw50wL2tddeq/RpPPjggxawCxcu9Mv1vgdnXpClNThHTf/XQ/26CFYZ3lyKiBH4J0JFS4UbArHgTKb2F9DXnTycA/QDJuHMJdszmPH4siiJKLs5IyPDEo3lOCeBCMckYtu2bRaczmSVnSQLbEew7cB+irtNt4JC3sVJAF555RWfnkgB2KNx2r8zMzO9OodnuOq8CH8jz8nJsR07drSHUKxviXtZuXKl7dixo01ISLCffPJJmXPk5eXZRx55xMbHx9uUlBT7KpV3BCz78p5qjTF22LBhB/ocFNuhECdxbNOmjc3Nza30ae7du9c2btzYDhw4sMbXMwun+eCcQP7NvPhfD8v3pACU4c2liBiBfyJUtFS4IRALsMrdbBHtTiJ6Ftv2EjApmPH4siiJKLv5gw8+sOB0/gvkU63ppWjVqtWBfgwVnOQunMTgSy8CKQR7PNimTZva3bt3V/uJTHKXNbEaTzYzM9M2btz4QHV3hL6RP/TQQxacURnl7bN9+3bbu3dvGxUVZV8otu0XsEceeaQF7Pnnn283b95c7dcuWDtu3DgL2Mcff7zMTnPcf5fnn3/eq6fpaSpbUMPrOcFd7reB/Jt58b8eyteFP8vwx6WIFJ4vb5V9iatpERUtFW4IxAJkAccX+71fsW2nATuDGY8vi5KIspsvu+wy27hxY6eqvwYCfSkGDhxou1Wyw++//25jcMa1exvILzgdz2666aZqPZG9OO33vXBqJKrzRO69915rwP4dAW/k5W1fs2aNTUxMtEOGDKn0tbd//347aNAgC9h/gb0Tp3mpefPm9sMPP/Q6hvKKKCwstBdeeKE1xtjPP/+8xMbT3GUUDaetooh9+/bZpk2b2jNqcD0LCwttF5zmMV+GV/q8PYxeF9UtIxiXIlLUpSRiNXC2+/dlwL+LbbtOSUSY/MN68UbskZ+fbxs3bmwvu+wyL59wxQJ9Ke655x4bDTarnB1cLpft3bu3bQo2vZqBjB492sbExByYsKeK4/fj3OI7Gux8H57s1q1bbTzY0WHwRu7LOc4991yblJTkdG6s4rWXn59vr+HASIArwO7atataMVRURGZmpu3Ro4dNSUkpSsh+cpfz2GOPVetpPvHEE7ZMM1M1rpWnf8hbgf6befG/HpbvSUEooqKnEgnqUhIxCRjn/v0uIAeYALyAc5u8d4MZjy+LkoiSm+fMmWOBkt8MfRToS/HRRx9ZwP5Yzg6evgZv+/Amu337dpuSkmJPO+20Ku/PkZ2dbU/D6Tw3uQZPdjTYeIrdB6G6F8Mf2304x4wZMyxgH3300fKPL+cchWDfpFin2GrGUFkRa9assU2bNrWH4tQOnQO2ERy4V4WXTzMzM9M2A3uqj9fztNNOs61wT8wUyL+ZD6/vam/31zmqEIxLESnqUhLRATjB/Xss8BSwEdgFvAs0CWY8vixKIkpuvuWWW2xcXFyZN11fBPpSrF692gJ2fKkd1q9fb5OTk+0ZZ5xRsiq5GoE8++yzFrCffvpphcfn5eUVVc+/XsMn+xdOInJvMF8XNSwjG2yHDh1s586dizos+uNDraYv7zlz5tgYnMmdAHu/D2VYa+3T7uOrm+z88ccftvQolYD9zYJRhr/OUYUgFCEHUNFS4YZALEBTICGYZfp7URJxYHNhYaHt0KGDHTBgQDWecMUCfSkKCwttQ7DXFtuhsLDQDho0yCYmJtrVq1d7dS3K256Xl2e7du1q27dvX+LmWZ7t+fn59sILL7RAiY6CNfmbnYPzrXldsF4XNSzjAdydVr/8suLjfYjDDy9v+4I7tmSwO30ow1pndEUa2A5g91XjeVxxxRU2KSnJKTfQf7NglOGvc1QhCEXIAVS0VLjBX4t7JMYYYI97Log8nDtoNgx02YFYlEQc2LxkyRILxaZirqFgXIp+YHsX28EzK+ETTzxR/gmqEcgXX3xhy/tGWVBQYEeMGGEB++STT9aojOLbl4JNAduFcvoJ+OOC+vG1txpsAlR90yof4vDDy9sWgn0MZ8SML2V4dvoWp4boGi+fx9atW218fLy97rrr/Pa6qPHFCOLrovILWrkgFCEHUNFS4QZ/LcD/uYdzzgYeAz4AXMAbgS47EIuSiAObPUPbSsy0WAPBuBQ348yQ6AK7G2yLFi3skUceeWBkSQ3fZM8991xbD+xG97ZCsNdcc42FYrdD9uMb+Tdg48CecMIJNjs726dzBOO1NxjnFtRlXit+uBZ+eHnXuIziO92OU6sxffr0Kk9y//33W8CZodOPr4saXYwgvi4qv6CVC0IRcgAVLRVu8NcCLAYmlFp3DZAPxAW6fH8vSiIObD7uuOOsP69HMC6FZ26GJTjfFqOiouyiRYsqPkE1A1m1apWNx7mHQyHYm93l3XHHHeVObOSPv9lkdxlDhgyxBQUFPp0jUBe8kAPzYTweoA81P7y8a1xG8Z1ywHbHGSaanp5e4Umys7NtamqqPfvss/12LfxyMYLxj+jVBa1cEIqQA6hoqXCDvxYgA+hfal1Dd+1Ep0CX7+8lHJOI+TgzH94Idn+A3lhKb966deuB22v7STDeu/5wf6Bd6/556623Vn4CHwLxTFh1kfvnP//5z5J3YwzAG/lTTz1lAXvjjTdWnKzUsIxyVbCPy+WyH374oe3lvgZH4OUtoX2Iww8v7xqXUXqn38DGxcXZ888/v8K/x2uvvWYB+/XXX/vtWvjlYgTjH9GrC1q5IBQhB1DRUuEGfy3uZOGYUus8M1YeFejy/b2EUxKRlZVlb731VmvAprrfrDuB/f7772tWhhdvoq+++qoF7OLFi2vy7GsUpi/nyMcZGglOJ7gqp5v2IZB9OFNZA/YqKFk74Kcyytt+00032aJ+F16e41eKTVpV3RjK2Sc3N9e+9tprtnPnzhacToYT4EBn06rK8CEOP7y8/fOBVGqnxx57zAJ24sSJZbYXgu3WrZvt0aNHwGqoQnoxvLpgNeOXv5l4i4qWCjf4a3EnC+cB7YstndzrB5Va3z7Q8dR0CZck4vvvvy96o74GbAbYr8G2xamiv+OOO2xOTo5XRXjzxlJ68+DBg23btm1LfsOuoaC8KUDRt+PPA/gm+x3OLZ1dQXwjLygoKBoB8u6771Z4jsLCQjtjxgzbz30dUsFureGHxT6c+5IcdNBBFpypqadMmeI8/wB/qIXL52bpnVwulz3hhBNsgwYN7Nq1a0ts+8J97d98883gBhqsi+GXf9bKBeX9QjyoaKlwg78WSt2lk5J38CyzPtDx1HQJdRKRlZVlb7vtNhsVFWUPPvhgZ7hcse17wV511VUWsIcddpj9+eefA/C+st8mJibaf/7zn6G8FD4X8jbOcMOQvckGsIzs7Gx74okn2tjY2DJ3LM3NzbVvvvmmPeywwyw4dyG9F2fUxNlQNiH04oIXgn0EZ6gpYE8++WQ7a9Ys35tUfLgW4fK5Wd5Oq1evtsnJybZfv37O9ObuZQBOnwlPoh+0QIN1MfzyzyphhIqWCjf4awFGVmcJdDw1XUKZRPwARbUPo0ePtnv37q3wHDNnzrQtW7a0MTExFsZayPPj+8pntsx4fz/wyxu5vwuJwDfyXbt22W7dutkGYH/HSSyf4EAtwWGHHWYnTpxYNDviczgJwIQJE6oXg7X2UfexZ7tfn6G4FuHwJ61sJ0/fB88dZJe4r9mDDz4Y/ECDdjGklqGixVhrEe/16tXLLlq0yH8nNIZ/A78B9YHkK66gfv361K9fn+TkZOrfeSfJ7u3PAge1acNrr73GaaedVuIcJbj/prt27eKGG27gnXfeAXrizDreldJ/8tKHFztFBftcRUrKh6SnpxMbG1vNJ1yxCp6G19sDUogvgYRBGRs2bODYgw8mH8jF6d188sknc/vttzNgwACMMUXnKATOAL5PSuK3336jY8eOXpUxffp0Bg8axFBgMmD88Tx8OEcYXO5Kd7LWcu655zJr6lQWAf8B3gI2pKfTtGnT4AYatIshtUw5Lxz3BiUR1ROIJOIW4Ducm4fsa9WKzMxM9u3bR+m/zdXAk3v30qBBgzLnKKHMm+zHwLU4M42vx9roSg8v5xTF9ikAWnHxxacwefLkKp5c9SiJ8GMZwO/GMBjoDdwO9KrkHBuB7g0bcuihhzJ37lxiYmIqLWPp0qUce+yxHLJvH98BSf56Hr6cowpBKKLKk2zfvp3DmjenObASGAFMqMWvPal1KkwiYoIZBYAxZiRwCXAwkFBqs7XWdgh2TKH2dPEHmzYBzreXrKwsMpOT2Yfz8d8WoHQC4ZXzcb5vXgh8C5xSg2h/ArYzePDgGpxDguFwYK2X+7YGxo8fz8UXX8wjjzzCvffeW+G+u3btYvDgwSQlJfHpvn0HEgipULNmzXgVOMf9+KYQxiLiT0FNIowx9wJjgT9xJqHKDWb5kcQYQ7169agHNPfLGc/C+b74PjVLIqYCMZx55pl+iUrCx0UXXcTUqVMZO3YsAwYM4Ohy9snPz2fo0KFs2LCBOXPm0LpPn6DHGakGA/fiNC11CXEsNaKaBykmqM0Zxpi1wCfW2puDVmjZGG4BTgZ6AS2AsdbaMd4eH4jmjBJ8qTr0us34YuBr8vO3ONXVFRxeeRhdgVZY+1XZg2ooKLWk4VDdG6wqZR/OsWfPHrp37069evX45e+/S9YyWMsNN9zA888/z5tvvsnIkSPD41pUIRyaM3za7o9zhOB6S61UYXNGVDCjAJoA04JcZmlXA82AT0McRwgMBXYwZ84cH49fASzD+U4ltVHDhg2ZOHEif//9N/8qte2VV17h+eef55ZbbnESiFqk9JADEfFOsJOIb4EeQS6ztG7W2t7AP0McRwicCSTz/vvv+3i8J/9TElGbnXLKKdx88828APzPvW4u8H//938MGDCAxx9/PITRVV954xpFxD8CnkQYY6I8C05/osuNMSOMMU2Lbyu2T0BZawsDXUb4SgQG89FHH5Gfn+/D8Z/idNdL82dQRfRGHz4efvhhugFXAL8AFwDt2rVj8uTJREdHV36wiNQZwaiJcOHcsTMf+Bs4DHgD2FZsvWfJC0I8ddxQdu3axezZs6t53J8430cvCkBMEm4SEhJ4G9gBHIPzjzl16lQaNmwY0rgkCJTNSzUEY3TGA4BeiWHjDOrXr8/777/PGWecUY3jnsQZ3XFtgOKScHME8Ajwb2AK0Llz55DGIyLhJ+BJRHVGPlSXMaY/8KUXu35rre1Xg3JGA6MBDj74YF9PEyYSOOecc/jkk0946aWXiIuLq/KITZs2Ae/iJBCNAx2ghJFbcf7q9UIdiIiEpWB3rPS373GGXFe1jKhJIdbal621vay1vVJTU2sWcRgYOnQou3fv5uuvv/Zq/+eeew5npsqQjcyVEAp5AqHqdZGwFdFJhLU2y1r7lxfL+lDHGk5OP/10UlJSvBqlkZGRwYQJE7jooguxtp3ex4PEYEssIiLhKOjTXkvoxcfHc+655/LJJ58wfvx4IL7CfV955RUyMjK4/fbbgxegiEgF8vPz2bhxIzk5OaEOpVZJSEigdevW1b6pYp1LIowxvXDGKHpqYboaY4a4f59prc0KSWBBNnToUCZOnMiXX34JnF3uPvn5+Tz77LOcfPLJ9OzZM7gBioiUY+PGjdSvX5+0tDTnbrRSY9Zadu7cycaNG2nXrl21jq1zSQRwPVB8ur0L3QtAO7y/Z1FE69+/Pw0bNnQ3aZSfRLz33nts3LiRCRMmBDc4EZEK5OTkKIHwM2MMTZo0IT09vdrHRnSfCF9Ya0dZa00Fy9pQxxcscXFxnHfeeXz22WdA2WpBay1PPPEE3bp10822RCSsKIHwP1+vaZ1LIuSAiy66iIyMDOCLMtu+/PJL/vjjD2677Tb9w5aiTo8iIg4lEXXYKaecQuPGjXGmEirpiSeeoFWrVgwbNiz4gYmISERQElGHxcbGcv755wNTgexiW37lq6++4sYbb/RqMioREYG0tDQeeOABkpOTSU5OJiEhgejo6KLH7dq1K/o9MTGRqKioosfJycmhDt8nSiLquKFDhwKZHLhfI8CTJCcnM3r06BBFFThqihCRQOrTpw+ZmZlkZmYyfvx4jjvuuKLHa9asKfr9888/p1WrVkWPMzMzQx26T5RE1HEnn3wy0BTwTDy1DpjC6NGjdbMlERGpVF0c4inFxMTE4Nzo+W0gC3gOMNx0002hDEtEpEo33XQTixcvDmgZRxxxBM8++2xAy4hkqomoDWp8b4GhwH6cm2y9AlxMmzZt/BqiiIjUPqqJEOBEoBlwI05txG2hDUdExAuqIQg91UQITi55AU4CcRrQI7ThhFDpjpfqfCkiUjElEeI2AieZuCvUgUiQKFkSkZpSc4a4HQvsBiJzrLK/6DbnIiLeM1bvmtXSq1cvu2jRIv+dsPSU0qX/HlVtD0ARPhYTEfxwOas+hx8ueI3L8GKfYJRRp158wbgWut4sW7aMLl26hDqMWqmSa1vhvQ9UE1EHRNh7RNjT9fQjXcygMmPKrtNfQGpCSYRIsHnxwanPVhGJBOpYKSIiIj5RTYTUKUH5hq9qBAlT9n69NsW/VBMhIiIiPlESISIiIj5REiEiIiI+URIhIiIiPlESISIiIj5REiEiIpHLmMAuXkpOTi5aoqKiSExMLHr8zjvvADBnzhyMMTz++OMljl27di3GmKL9mzdvztlnn82XX34JQE5ODg0bNmT27Nllyr355psZMmRIDS5gzSiJEBERqaHMzMyi5eCDD2batGlFj4cPHw7AxIkTady4MRMnTiz3HHv27CEzM5PffvuN0047jfPOO48333yThIQELrroIiZNmlRi/4KCAiZPnszIkSMD/vwqoiRCsLbsIiKRx4wpuUj4yMrK4sMPP+SFF15gxYoVVHYPphYtWnDjjTcyZswY7rjjDgoLCxk5ciQfffQRWVlZRfvNmjWLwsJCzjzzzGA8hXIpiRCppXSrb5Hw8dFHH5GcnMyFF17IGWecUaZWoTznn38+27dv5++//6ZPnz60bNmSjz/+uGj7W2+9xbBhw4iJCd28kXUqiTDGHGKMec4Y87sxJtMYs8UYM9UY0yPUsYlUi6qORCLKxIkTueiii4iOjmbYsGFMnjyZ/Pz8So9p1aoVALt27QJgxIgRRclHRkYGn332WUibMqCOJRHA6cDJwERgEPAPIBX40RjTM5SBiYQdJSoifrFhwwa++eabor4R55xzDjk5OcyYMaPS4zZt2gRA48aNASeJ+Oabb9i0aRMffvghHTt25Mgjjwxs8FWoa/fOeA94wdoD74jGmNnAWuBGYESI4hIRkVrqrbfeorCwkEGDBhWty8nJYdKkSZx77rkVHvfJJ5/QrFkzOnfuDMDBBx/MCSecwDvvvMPnn3/OiBGh/8iqU0mEtXZHOev2GmOWAweFICQREanlJk2axP3338+1115btO6nn37iwgsvZOfOnWX237ZtGx988AFjx47lueeeIyrqQKPByJEjuffee9m6dSvvvvtuUOKvTJ1KIspjjGkMHAa8EepYRERqok7epTPMm9oWLFjA2rVr+b//+z9SU1OL1g8ePJiOHTsyefJkzj77bAAaNmyItZZ69erRq1cvPvjgAwYMGFDifEOGDOH666/n1FNPpWXLlkF9LuWp80kE8DxggGcr2sEYMxoYDU51koh4Kczf4COOrmdEWLt2bdHvxx57LDk5OeXut2TJkqLfrZd/23r16rFv374axedPEd2x0hjT3xhjvVjmVHD8v4FhwPXW2pUVlWOtfdla28ta26t4JikiIlKXRXpNxPdAFy/2yyq9whhzLfAwcI+19nV/ByYiIlLbRXQSYa3NAv6q7nHGmMuAF4GnrLXj/B6YiIhIHRDRzRm+MMach9OJ8lVr7W2hjkdERCRSRXRNRHUZY04EJgO/A28aY44ttjnXWvtraCITCT710RORmqpTSQRwChAPHAnML7VtHZAW7IBEpJZQViZ1UJ1qzrDWjrHWmgqWtFDHVy5NPSxSO+h/WWqhOpVEiIiIiP8oiRARERGfKIkQEQkDZkzZRapmTGAXb51xxhncd999ZdZ/9tlntGjRgksvvRRjDFOnTi2x/aabbsIYw5tvvsnDDz9McnIyycnJJCQkEB0dXfS4W7duNb1UAaEkQkREpIZGjRrFW2+9VWb66rfeeovhw4cTExPDIYccwsSJE4u2uVwuPvjgAzp06ADAXXfdRWZmJpmZmYwfP57jjjuu6HHxKbLDiZIIERGRGjr33HPZtWsXc+fOLVq3e/dupk+fXnTL7kGDBjF//nx2794NwP/+9z8OP/xwWrRoEZKY/UFJhIiISA0lJiYydOhQJk2aVLTu/fff59BDD6VHjx4AJCQkMHjwYN577z3AuUW4J8GIVEoiRMR3GrYoUmTkyJF88MEHZGdnA06SMHLkyBL7jBgxgkmTJrF3716+/fZbzj333BBE6j9KIkRqKX2+iwTX8ccfT2pqKp999hmrV69m4cKFDBs2rMw+6enpPPTQQ5x99tkkJiaGKFr/qGszVoqIiASMp6bh77//5vTTT6d58+Zl9rn00kt54IEH+Oabb0IQoX+pJkJERMRPRowYwVdffcUrr7xSpinD44YbbuDLL7/kxBNPDHJ0/qeaCBGRMGDvV5uTL8KtqS4tLY0+ffrw22+/MXjw4HL3ady4MaeeemqQIwsMU3pMq1SuV69edtGiRf47YenZTPT3EBGp0LJly+jSpUuow6iVKrm2FU67peYMERER8YmSCBEREfGJkggRERHxiZIIERER8YmSCBEREfGJkggRERHxiZIIERER8YmSCBEREfGJkggRERHxiZIIERERP0lLSyMxMZH69evTsGFD+vTpw/jx4yksLCyxz1dffVXiuH79+tGoUSNyc3PLPV9ycjKNGjVi4MCBbNiwISjPxRu6d4aIiEQsM7bCGZn9wpd7mkybNo3+/fuzd+9evv32W2688UZ+/PFH3njjjXL3X7t2LXPnziUlJYWpU6dy4YUXlnu+nJwc/vGPf/DPf/6TTz/91Jen43eqiRAREQmAlJQUBg8ezJQpU5g4cSJ//vlnuftNmjSJY489llGjRjFx4sQKz5eQkMCQIUNYunRpoEKuNiURIiIiAXTMMcfQunVr5s6dW+72SZMmMXz4cIYPH86sWbPYtm1buftlZWUxZcoUjj322ECGWy11KokwxtQ3xrxvjFlpjNlvjNljjPnRGHNpqGMTEZHaq1WrVuzatavM+nnz5rFu3TqGDh1Kz5496dChA++++26Jfc4991waNmxIgwYN+PLLL7n99tuDFXaV6lQSAcQBLuARYDAwDPgLeMsYc3MoAxMRkdpr06ZNNG7cuMz6iRMncvrpp9O0aVMAhg0bVqZJ49NPP2XPnj3k5uby3//+l5NOOomtW7eWOVfxzpvBUqc6Vlprd+IkDsXNNMYcAlwBPBP8qEREpDZbuHAhmzZt4vjjjy+xPjs7m/fff5+CggJatGgBQG5uLnv27OG3336jR48eJfaPjo7m/PPP55prrmHevHkMGTIEgKOOOorevXuTm5vLySefzBtvvEFGRgZPPPEExx9/PFdccQWrVq2ioKCATz/9lJYtW/rtudWpJKISO4H4UAchIiK1R0ZGBt999x033ngjl156Kd27dy+x/dNPPyU6Opo//viDuLi4ovVDhw5l0qRJPPXUUyX2t9YydepUdu/eTZcuXQDYsWMH6f/f3n2Hx1FdfRz/Hsmy3HvvFVwxxgaMMWATEkzHtNBrMCUECCWU0EINEBJ6TUIxHQKE0I2pxoBxwbj33qtsy7JkSef9Y0Z+l0WypPWudiX9Ps+zz2pn7sycK8zo7J1b1q7lrrvuYsWKFdx9992MGTOGLVu2cNppp5GZmUmDBg0YN24c7o5ZfEezVMskwoLfYjrQEDgROBy4IKlBiYhIlXDMMcdQo0YN0tLS6NWrF1dddRUXX3zxL8o9//zznHfeeXTo0OFn2y+77DIuv/xy7r333p3nS09Px8zo2LEjzz//PL179wbgp59+4vTTT6dJkyY89thjzJgxg2HDhgFBP4wBAwbw7rvvcuqpp3LWWWdx1FFHxbWu5l7+MbCVnZldBjwSftwBXOnuj++i/EhgJECHDh0GLF68OJ7B/PxzNfzvISJSVjNnztz5LVzgwQcfpF27dpx00klcffXVjBgxYudjk/z8fPLy8qhTpw6bNm3iuOOO48svvyzxXLv43ZbYfFGpWyLM7DBgdBmKfunuQyM+vwZ8BzQj6GD5iJkVuPtTxR3s7k8DTwMMHDhQf+VFRCQlTJ06laOPPhqAiy66iPPPP5+MjAwyMjJ44YUXuPLKK1m6dCk7duzg9ttvj/v1K3VLhJnVATqUWhC2ufuSXZznOYLHGk3cfceuTjRw4ECfMGFCueIUEZH4UEtE4lS7lgh330YwRHN3TQDOAVoCy+JwPhERkSqvus0TUZJDgK3AmmQHIiIiUllU6paI8jKzi4BBwKcELQ5NgVOAk4Dr3T0vieGJiIhUKtUqiQCmAscBfwOaAOuAmcDR7v5+MgMTERGpbKpVEuHu44Ajkx2HiIjELhGTJlV3sQ6yUJ8IERGpNGrVqsX69etj/qMnv+TurF+/nlq1apX72GrVEiEiIpVbu3btWLZsGWvXrk12KFVKrVq1aNeuXbmPUxIhIiKVRkZGBp07d052GBLS4wwRERGJiZIIERERiYmSCBEREYmJkggRERGJSaVegCsZzOwjdx+e7DhERESSTUmEiIiIxESPM0RERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiRAQze87M3Mw6JTuWRDKzc8N6npvAa9wWXmNooq4hkiqURIiIlFOYJHyR7DhEkk1JhIhIfD0K9ATGJzsQkUSrkewARESqEndfB6xLdhwiFUEtESIpxsyGhs3lt5nZEDP7ysy2mtlKM7vXzNLDcmeb2U9mlmNm883s/GLO1djM7jazWWa2zcw2mtk0M3vczOqVEsfO/gNmdrKZTQqvtcLMHjCzuuWs1zAz+8DM1pvZdjObYWbXm1mNiDLnhNe8poRznB7uvyFq+/Fm9rWZbTGzbDP7wcwuKGNcO3/fpe0r+hzuPiTcV/QaGpYptk+EmWWY2TVmNjX8PW40s4/M7KBirlvUR6WzmV1uZnPMLDf873xFWeolUhGURIikrv2BT4A1wNPAJuBPwN1mdhXwIDAR+BfQEPiXmR1SdLCZGfAxcD2wiKCZ/XlgIXAu0KiMcZwMjAKmAg8BK4GrgP+ZWZnuIWZ2GTAGGAj8F3gM2ALcA7weUfQtIAc4o4RTnQ448HLEua8G3gb2JKjfU0Az4J9m9nCZalh2i4C/hD8vDn8uei0q6aDwv8WbwP0E991Hws+Dgc/N7OQSDv0b8Gfga+AZoB7woJldvJv1EIkPd9dLL71S6AUMJfhD6cBREdvrEvwB3wYsAzpG7BsQln83Ytte4ba/F3ONBkDNiM/PhWU7RWw7NyKOQyK2pwHvhNvPL0N9egM7gO+AhhHbjSCxceCkiO2vhtt6Rp2nWXieryK2dQ23LQdaRWyvB0wJz3NwMXU6t5jf9227+G9xW9R2B74oob63hfuHRmw7J9z2MVAjYntPIJsgQaxfzH+PuUDLiO3dwvrOTva/U730cne1RIiksM/c/f2iD+6eDbwP1AaecvfFEfsmAvOBfsWcJyd6g7tvdve8Msbxsbt/GXFsIXBj+PHMMhx/EUH/q8vcPSviPB6ex4FTI8q/FL5Ht0acEp7npYhtZ4Tb7nX3VRHn3grcGn48pwwxJlpRDNe6e37RRnefSdDC0BA4vpjj7nL31RHl5wFjgT3MrH7iwhUpG3WsFEldU4rZtqqUfftHfJ4BTANuMLO9CRKQr4Fp4R/wshobvcHdZ5jZRopPWqLtT5AoHGtmRxezPwfoEfH5I2A9waOLmyK2nwHk8fPHH3uH718Uc97Po8ok097ARnf/qZh9XwBXhGVGRe2bXEz55eF7I4JHQiJJoyRCJHVtLmZbfin7dv4/7e75ZnYocDtwAnBkuGupmd3p7k+XMY61JWxfTdC8XpomBI8ubt5FmZ2dNN19h5m9DlxiZge4+7dm1pmg/8A77r4x4rgGEbH8jLtnmVluRJlkakDwaKI4qyLKRMsqZlvRv4H03Q1KZHfpcYZIFebua939EqA1QavBNQR/0J8ysxFlPE3zEra3pPhkJtpmoACo5e5Wwqtz1DHRjzROj9oeee6iWH7GzBoCmWWIsTB8L+6PcrwSkM0UE2OoZUQZkUpFSYRINeDuhe7+k7s/AJwWbj62jIcPid5gZr2AxhT/WCXaeII/0PuW8XoA4whGkZwSDgE9g+Bb+XtR5X4M3w8u5hyHRJUpyabwvW0x+/qXcEwh5WsJ+BFobGZ9itlX1jhFUo6SCJEqKpxjoEcxu4q++f6iw2UJDo8aOpoG3BV+fLEMxz9O0BLxmJm1LibOlmbWM3Jb2GfjZYJWkD8RjGJ40923Rx3+cnjua81sZ4tJOIdF0VDMF0qJbzbBCIljzKxRxDm6AJeXcMwGik86SlIUwz1F83yE19gDGEmQIP23HOcTSQnqEyFSdfUD3jaz74DpBPNNdCYYBbANeLKM5/kA+NjMXgNWAL8B9iHoEPhcaQe7+1Qz+wPBcM45ZvYBwZwKjYHuBC0dNwMzow59iWCOhNsiPkefe56Z3QjcC0w1szcIOl+OCOv6eOTIkhLiyzWzJwge9Uwys/8S9OMYAYwm6E8S7XPg5PB38hNBIvOyuy8p4TIvACcBRwOTzezDsP6/JRhtc4a763GGVDpKIkSqrgkEf1yHETy6aECQBLwO/DUcXlgWbxAkCzcSDLPcBPwDuDkc7lkqd3/CzH4kmKTqYII/0BsIkok7iJg8KuKYmWY2meCRwjKg2GTA3e8zs3nhuc8jaGGdCdzj7s+UsY43ECQf5wCXAnPC92UUn0RcGV7nMILJuIxgHoxikwh3Lwz7oFwFnE0wGmN7eMzdpSU6IqnKyjfSS0SqCwuWy34WOM/dn0tuNCKSitQnQkRERGKiJEJERERioiRCREREYqI+ESIiIhITtUSIiIhITDTEs5yGDx/uH330UbLDEBERqShW0g61RJTTunXrkh2CiIhISlASISIiIjFREiEiIiIxURIhIiIiMVESISIiIjFREiEiIiIxSfkkwsyGmdlYM8sxsw1mNsrMWhZTbm8z+8jMtprZZjN718y6lXLuG8zMzWxs4mogIiJSNaV0EmFmBwGfECw9fCLB8rkHA2PMLDOiXHfga6AhcAbBcsCdgK/MrEUJ5+4C/BlYk7gaiIiIVF2pPtnUrcBi4Hh3zwcws1nAeOAC4PGw3HVAAXCEu28Ky30PzAOuAf5UzLmfAF4C9iT1fw8iIiIpJ6VbIoBBwOiiBALA3X8A1gMjosp9W5RAhOWWAdOiygFgZqcD+wA3JCZsERGRqi/Vk4gCIK+Y7blAnzKW62pmtYo2mFlj4B/An9x9QxxjFRERqVZSPYmYTdDKsJOZdQRaA02iyg0ws4yIcvWB3gRzfjeOKHs/MAd4rqxBmNlIM5tgZhPWrl1b3jqIiIhUSameRDwE7Gdmd5pZCzPrAYwCCsNXZLm2wJNm1jZMNJ4F6oX7C2FnR82zgUu8HGugu/vT7j7Q3Qc2b95892slIiJSBaR0EuHuLwF3AlcDq4EZwHLgA2BlRLlvgN8DJwHLgEVAI+B5gsccRY8tngL+BSwzs0Zm1oigU2V6+HnniA8RERHZNSvHF/KkMbO6QBdgjbuvNrOZwA/ufnZUuUygG7DZ3Zea2YdAXXc/ONxfWmX/6O4P7qrAwIEDfcKECbFWRUREpLIpcSnwSjG00d2zgakAZjYc6EEwxDO6XC4wPSzXFziM4PFFkWHFnP5BIB34A8GQUBERESmDlE4izKw/cAQwKdw0BLgWuM/dx0WUawdcAowjGJExALgReMvdXykq5+5fFHONTUCN4vaJiIhIyVI6iSDoz3AkwWRRmcBM4GJ3fzaq3A5gf+AioD4wH7idoMOliIiIJEBKJxHuPp2g9aG0cqsJHl3Eco2hsRwnIiJS3aX06AwRERFJXUoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJkoiREREJCZKIkRERCQmSiJEREQkJimfRJjZMDMba2Y5ZrbBzEaZWctiyu1tZh+Z2VYz22xm75pZt2LK3W1mn5jZejNzMzu3QioiIiJSxaR0EmFmBwGfAJuAE4ErgIOBMWaWGVGuO/A10BA4AzgP6AR8ZWYtok77B6A28F6CwxcREanSaiTqxGZWE9gHaEPwR3sdMNvdF5XjNLcCi4Hj3T0/PO8sYDxwAfB4WO46oAA4wt03heW+B+YB1wB/ijhnQ3cvDFspzo6pciIiIhLflggzSzezk8zsIyAL+AZ4ExgFfAjMN7MlZnZvcY8aijEIGF2UQAC4+w/AemBEVLlvixKIsNwyYFpUOdy9MKbKiYiIyM/ELYkwsxOBWcCLQC5wE/BroB+wB8Ef+tMJkorjgZlm9kxx/RsiFAB5xWzPBfqUsVxXM6tVrsqIiIhIqeL5OOMR4D7gucgWgSjjgdeAq8xsf4LHEBcCd5ZQfjZB8rGTmXUEWgM7osoNNrMMd98RlqsP9AYMaAysjKFOIiIiUoJ4Ps7o4u4P7iKB+Bl3/97dTwDu30Wxh4D9zOxOM2thZj0IHo0Uhq/Icm2BJ82sbZhoPAvUC/fv1iMMMxtpZhPMbMLatWt351QiIiJVRtySCHffHuNxubvY9xJBK8XVwGpgBrAc+ICIlgV3/wb4PXASsAxYBDQCnid4zLEhltgizv+0uw9094HNmzffnVOJiIhUGSk9xBPA3W8GmgF7Aa3d/TSgOzA2qtzjQAuCvhId3P0wgpEh3xc94hAREZH4SeQQz5HAJcCeQGb0fndPL+u53D0bmBqedzjQg2CIZ3S5XGB6WK4vcBgaxikiIpIQCUkizOxsgo6WzxOMzvg3kAEcC6wFXirjefoDRwCTwk1DgGuB+9x9XES5dgQJyziCERkDgBuBt9z9lahzHgI0B1qFmwaa2VYAd3+zvHUVERGprszd439Ss0nAu8AdBKMoBrr7JDNrDHwBPOPuj5bhPL2BpwgeUWQCM4FH3P3ZqHItCRKTvYH6wHzgX8BDkXNMhGW/AA4p7nrubqXFNHDgQJ8wYUJpxURERKqKEv82JupxRnfgK/5/FEVNAHffaGZ3AXcBpSYR7j6doPWhtHKrCR5dlMrdh5alnIiIiOxaojpW5gBpHjRzrAK6ROzbStDhUURERCqxRLVETAW6AZ8SLIx1o5ktBPKB2whmthQREZFKLFFJxNP8f+vDzQTJRNGQzC0E016LiIhIJZaQJMLdX4v4eV7YQfIAoA4wzt3XJeK6IiIiUnHimkSY2TDgCoJHGZuA19z9kXCeh0/jeS0RERFJrniu4nk4QaJwCJBN8DjjQTO7MV7XEBERkdQRz9EZNxL0e+jg7vsD7YF/AteZWanzL1RH01dkMX/t1mSHISIiEpN4JhE9gQfcfQuAuxcQTDZVnyChkAj5BYVc+tIkzn12PGu3lLgGmYiISMqKZxLRjGBOiEhFK202jeN1qoQa6Wk8fGp/1m3J44Lnf2BbXn7pB4mIiKSQeE82Ff85tKuwfu0b8ejp/Zm2PIs/vDyZ/ILCZIckIiJSZvFOIv5nZkuKXsDCcPsHkdvNbHGcr1tp/apnS24/rg9jZq3h1nenk4i1TERERBIhnkM8n4/juaqVMwd1ZPmmHJ74Yj5tG9fm0qHdkh2SiIhIqeKWRLj7efE6V3V07W/2ZMWmHO77aDZtGtbm+P5tkx2SiIjILiVq2mspp7Q0476T9mL15u1c++YUWtTPZHC3ZskOS0REpESWqGfwZpYG7Ad0AGpF73f3FxJy4QQbOHCgT5gwIWHnz8rZwclPjmPlpu28eclg9mxVP2HXEhERKYMS53pKSBJhZr2Ad4CuJVzc3T097heuAIlOIgCWb8rhhMe/Ic2Mty89kFYNf5GDiYiIVJQSk4h4j84o8jjBo5JTgB5A56hXl5IPlbaNavPvc/dlc84Ozn12PJu370h2SCIiIr+QqCRiH+Aad/+Pu89x98XRrwRdt8ro3aYhT5w5gHlrtnLBc5qMSkREUk+ikoh1QF6Czl1tHLxHcx48dW8mLt7IRaMmkptfkOyQREREdkpUEvEP4PdmVin7PaSSo/dqw70n7sXXc9dx2cuT2aFZLUVEJEXEbYinmd0etakHMMPMRgMbova5u98ar2tXdScPbM+2vAJufXc617wxhb+fsjfpaVoYVUREkiue80TcVML27sVsc0BJRDmcM7gT2Xn53PfRbGpnpHPPCX3RCusiIpJM8ZyxMlGPRiR06dBubMst4NHP51GnZg1uPrqnEgkREUkazVhZyVz9mz3YmpvPv79ZSL3MdK76zZ7JDklERKqpePaJqOXu2yvquOrKzLjl6F7k5BXw8GfzqJNZg4sP6ZrssEREpBqK5yOIRWb2RzNrVJbCZjbYzN4Fri2l3DAzG2tmOWa2wcxGmVnLYsr1NrO3zGyFmWWb2XQzu9rMakSV62Bmz4dLkm8zszlmdqeZ1S1PZZMpLc24+4S+HNOvDX/9cBajvl2U7JBERKQaiufjjN8DdwF3m9lHwNfAFGAtkAs0Jpipcj/gaII1NZ4Fni7phGZ2EPAJ8DFwItAUuBMYY2YD3D03LNcG+AJYDlxJME/Fr4D7gRbAdWG5usCnQAZwM7AE2Bf4C0EH0N/G4fdQIdLTjL+f0o+cvHxueXc6nZrV5aDuzZMdloiIVCNxXTsjnBfieOACYCjBwluRFzBgMfAa8LS7LyjlfJ8CnYAe7p4fbtsXGA/83t0fD7eNBJ4C9nT3ORHHvwoc4u6tw8+/IUhIDnf3TyLK/RW4Bmjg7tt2FVNFrJ1RHtvy8hnx2DjWbNnOe5cfRNtGtZMdkoiIVC0Vs3aGuxeEU10fCTQCBhG0IJwBDAc6untnd7++tAQiNAgYXZRAhNf4AVgPjIgoVzN83xx1/CZ+XsfSylW6oQ51atbgiTP3Ib/AufRFzWopIiIVJ2HDMt09z93Hu/s77v6qu49296XlPE0BxU+fnQv0ifj8BsEjjEfNrLOZNTCzEcBZwAMR5T4F5gL3mlkvM6tnZocCVwBPunt2OeNLCV2a1+P+k/sxZVkWf/nfjGSHIyIi1USqz+0wm6A1Yicz6wi0BpoUbXP31cABQE9gAZAF/Ae4193viyi3HRhCUO/pwBZgDPAecFkiK5Jow/u04uJDuvLy90t4fUJ5czUREZHyS/Uk4iFgv3D0RAsz6wGMAgrDFwBm1hx4C8gGTgKGEXTAvMnMrosoV4ugP0YLglaKQwhGh/wWeKykIMxspJlNMLMJa9eujXMV4+ea3+zB4K5NufmdaUxbnpXscEREpIqLa8fKRDCzOwg6PRZ10nwNqAv0cfcuYZn7gYsI+lxsjDj2LoIkoY27rzOz3wOPAt3cfX5EuQsJRons7e5TdhVPqnWsjLZuay7HPDKWGunG/y4bQqM6NUs/SEREpGQV07EyEdz9ZqAZsBfQ2t1PIxiOOTaiWF9gXmQCERpPMJyzW0S5jZEJREQ5CB6HVGrN6mXy+Bn7sCprO3987UcKC1M7SRQRkcor5ZMIAHfPdvep7r7azIYTrBD6ZESRVUA3M2scdej+4fvyiHKNzaxbKeUqtf4dGnPLMb35fPZaHvlsXrLDERGRKirha2eEE0G1BZa7+4pyHtsfOAKYFG4aQvB44j53HxdR9EmCYaSfhI821hPMU3EN8HbEqJDngKuAD8JHHUuAgQQTT00Evilv/VLVmft3YPLijTw4Zg792jdk6J4tkh2SiIhUMQlriTCzs81sIbAU+A5YamYLzezMcpwmDzgSeBV4O/z5Yne/LrKQu38HHEQwO+ZDwLvACcDtBMlFUblFBKM9fiToePkBUNQf4tfuXkgVYWbcNaIve7aszxWv/sjSDbucQ0tERKTcEtKx0swuAx4mmJfhVWA10BI4DTgUuNzdSxwNkcpSvWNltMXrszn6kbG0bliLNy4eTMPaGckOSUREKpcSO1YmKolYCHzu7ucXs+85gqmoO8f9whWgsiURAOPmreOcZ8czoGNjnj9/PzJrpCc7JBERqTwqfHRGK4IWiOK8TNAqIRVkcLdm3H9SP75bsIFr3vhJIzZERCQuEtWxcirQtYR93YFpCbqulOD4/m1ZkZXDfR/Npk2jWtxwRKUfzSoiIkmWqCTiCuBVM1sHvOXuBeEKnycSjK44NUHXlV245JCurNiUw1NfLqBNw9qcM7hTskMSEZFKLFFJxOtAA4JHGgVmthFoDKQDW4HXzXY+YnF375igOCSCmfGXY/uwKiuX2/43nZYNajG8T6tkhyUiIpVUopKIMQRTVEuKSU8zHjmtP6c98x1XvDqZly8cxICO0XN0iYiIlC7l185INZVxdEZx1m/N5cQnxpGVs4P/XDKYLs3rJTskERFJTZV37QxJjKb1MnnuvP1IM+OcZ8ezdktuskMSEZFKJm4tEWZ2dnnKu/sLcblwBasqLRFFfly6iVOf/pY9Wtbn1ZGDqFMz4TOhi4hI5ZL4yabMrDxTRru7V8oZj6paEgHw6YzVjBw1gYO6N+ef5wwkI10NVCIislOFPM7oXI5XlzheV3bTYb1acveIvnw5Zy1/elOTUYmISNnEre3a3RfH61xS8U7drwPrs/O4/+PZNK1bkz8f1ZOIYbgiIiK/kJAH4GbWDKjj7ksitl0E9AE+dvf3EnFd2T2XDu3K2i25/HPsQprVz+TiQ0qadDR1rczK4a8fzuKrOWvp3qI+fdo2pE/bBvRt25AuzeuRnqbESEQkXhLVi+7fwDLgUgAzuxn4C7ARuNTMTnf31xJ0bYmRmXHL0b1Yn53HXz+cRdO6NTl5YPtkh1Um23cU8MxXC3j8i/kUuDO8dyuWbdzGy+MXs31H0F2ndkY6vdo0oE+bBvRp25Bf92pJozo1kxy5iEjllagkYiDwfMTni4G73f0mM3sYuApQEpGC0tKMB07ux6ZteVz/1lSa1K3Jr3qm7npp7s5H01Zx1wczWbYxhyP6tOLGI3vSvkkdAPILClmwLpupy7KYtiKL6cs38+bEZTz/7WL6tG3AO5ceSA11JBURiUmilgLfDhzm7mPNrA8wBejh7nPN7FCC9TQaxf3CFaAqjs4oztbcfE5/5jvmrN7CS7/bnwEdmyQ7pF+YuXIzf/nfdL5bsIEerepzy9G9GNytWanHFRY6b09eztVvTOHmo3txwZBKuSq9iEhFqfDJptYD7cKfDwVWuPvc8HNGAq8rcVIvswbPnrsvrRvW5vznJjBn9ZZkh7TThuw8/vz2VI56+GtmrdrCHcf34b0/DClTAgFBa8sJ+7Rl2J7NeeCT2azYlJPgiEVEqqZEtUQ8D+wPPEqwaue77v6HcN8VwO/cvW/cL1wBqktLRJGlG7Zx4hPjSDPjxd/tT0a6sT47jw1b89iQnRf8nJ3L+uw8NufsYHif1py4T9uEjex4d8oKbn5nGltz8zlrUEeuPKx7zP0alm7Yxq//8SUHd2/O02cPjHOkIiJVRuInm/rZSc1aAi8Cg4AfgFPcfV24bzww0d0vifuFK0B1SyIgeGxwylPfsmV7frH7a2Wk0bRuJmlpsHRDDof2aME9J/SlZYNacYth07Y8bv7vdP43ZQV7t2/EvSfuxZ6t6u/2eZ/8cj5//XAWT581gN/01oqmIiLFqNgkYlfMrAGw3d3zKvTCcVIdkwiA2au28PXctTSqU5OmdWvSJHw1rVdz51TZhYXOc+MWcd/Hs6iZnsZtx/ZmRP/db5X4as5arn1zCuu35nHFr7pzydCucesMuaOgkGMeGcvmnB2MvuoQ6mZq2m8RkSipk0RUdtU1iSiPheuyufaNKUxYvJHDerbk7hP60KJ++VslcvIKuOfDmbzw7WK6tajHP07Zm77tGsY93omLN3LiE+P43ZDO3HR0r7ifX0Skkqv4JMLMhgMnA+2B6L8g7u6HJOTCCaYkomwKCp1nv1nI/R/PpnbNdP5ybG+O7demzK0SU5Zu4o+v/ciCddmcf2Bn/jR8T2plJG65lRvfnsqr45fw7mVD6NM2/omKiEglVrGjM8zsT8AHwNFAXaAg6lWexbqkEkpPM353UBc+uOIgOjeryxWv/sjFL04sdcnxHQWF/GP0HE54Yhw5Owp46Xf7c8sxvRKaQABcd3gPmtStyZ/fnkqB1g4RESmTRHWsXAK8D1zm7gVxv0ASqSWi/AoKnX9+vYAHRs8Bh8waaRS6U+hQ6I6H70XbAEb0b8ttx/amYe2MCovzvz8u54pXf+Qvx/bmnMGdKuy6IiIprsSWiET1ImsAvFHVEgiJTXqacdEhXTm0Rwten7CUgkJIs2C+BjNIMyPNwAje+7VvlJRZMo/t14Y3Jy7j/o9nM7xPq7iOLhERqYoS1RLxGjDF3e+O+8mTTC0RVduiddn85sGv+HXPljx2xj7JDkdEJBVU+IyVlwFHmtkNZjbAzLpEv8p6IjMbZmZjzSzHzDaY2ahwHorocr3N7C0zW2Fm2WY23cyuNrMaUeW8hNfeu19tqew6NavL5Yd24/2pK/l81ppkhyMiktISlUQ4sAW4CxgPzC3mVSozOwj4BNgEnAhcARwMjDGzzIhybYAvgC7AlcAxwDvA/WEM0Z4DDoh6zSl79aQqG3lwV7q1qMdN70xjW17xE2yJiEji+kQ8BwwG/gHMAmKdWOpWYDFwvLvnA5jZLILE5ALg8bDc0UAz4EB3L0oGPjOzrsDZwHVR513u7t/FGJNUcTVrpHH3iL789ulvufr1KTx2+j6kpSVmGm8RkcosUUnEUIKRGc/t5nkGAaOKEggAd//BzNYDI/j/JKJo8YTNUcdvQot9SQz269yEG4/oyV0fzOS+j2dz/RE9kh2SiEjKSdQf2HXA6jicp4DiWzFygT4Rn98Ir/momXU2swZmNgI4C3igmOMvMbNcM9tmZp+Fj01EfuZ3B3Xm9P078OSX83l1/JJkhyMiknISlUQ8DFxqZrt7/tkErRE7mVlHoDXQpGibu68m6NfQE1gAZAH/Ae519/uizvkicClwGDASaErw6GNoSUGY2Ugzm2BmE9auXbubVZLKwsz4y7G9Oah7M256ZxrfzFuX7JBERFJKooZ43gGcSdBiMBrYGFXE3f3WMpznDII/+ncRJCZNgKcJ+lvscPfaYbnmwBhgO3AvsB44FLgeuNnd793FNeoD04Cl7j6ktJg0xLP62bx9Byc9MY6VWdt565LBdG+5+6uHiohUIhW+FHhp01q7u5dpHuMwIbmGYP0NB14jmEq7j7t3CcvcD1wEdHT3jRHH3gVcC7QpWoq8hGs8Dlzg7pkllSmiJKJ6WrZxG8c/No5aGWm88/sDaVav1H8qIiJVRcXOE+HuaaW8yrwQgrvfTDDyYi+gtbufBnQHxkYU6wvMi0wgQuOBDKBbKZcxggRFpFjtGtfhn+cMZN3WXC58YQLbd2gyVhGRSjFywd2z3X2qu68OVwftATwZUWQV0M3MGkcdun/4vrykc5tZA+Ao4Pt4xixVz97tG/GPU/Zm8pJNXP3GFAq1UJeIVHOJGuIZF2bWHzgCmBRuGkLweOI+dx8XUfRJ4Azgk/DRxnqCYabXAG+7+9LwfNcAewKfAyuAjmGZVuHxIrt0RN/WXH9ED/764Sw6Na3DtYdr6KeIVF8pnUQQDO88EvgTkAnMBC5292cjC7n7d+EwzVuAhwgWAFsE3M7Ph3jOJphfYgTQkGBeiW8I+kOMT2hNpMq46OAuLFqXzWOfz6dj07qcMrB9skMSEUmKhHSsrMrUsVIAdhQUct6zP/D9wvW8cuEgBnZqUvpBIiKVU4UvwCVSpWWkp/HY6fvQtlFtLn5xEis25SQ7JBGRCqckQiRGDetk8MzZA9m+o4CLRk3UiA0RqXYSmkSY2V5mdpmZ3WpmrcJt3cIJnkQqve4t6/OP3+7N1OVZ3PDWVPR4UESqk4QkEWaWaWZvAJMJZpq8BWgT7r4P+HMiriuSDL/u1ZKrf70Hb09ezj+/XpjscEREKkyiWiLuIlib4iygJT/vlPEhcHiCriuSFJcd2o0j+rTing9n8tUcra8iItVDopKI04Cb3P1lYEPUvoVApwRdVyQpzIy/ndyPPVrW57KXJ7FoXXayQxIRSbhEJRFNCeZ0KOmaWnhAqpy6mTV45uyBpKUZF74wga25+ckOSUQkoRKVRCwkWJq7OPsRTPokUuW0b1KHx0/fhwXrsvnjaz9qamwRqdISlUS8AFwfLuVdM9zmZjYM+CPw7wRdVyTpBndrxk1H9WT0jNU8OGZussMREUmYRCUR9wHvA6P4/z4RY4FPgY/c/ZEEXVckJZw7uBMnDWjHw2Pm8umM1ckOR0QkIRI67XW4nsXhQAuCRbE+cvcvE3bBCqBpr6Wstu8o4OhHxlIzPY33Lx+CWYkzx4qIpLISb14JXYDL3b8Gvk7kNURSVa2MdM4d3Imb3pnG5KWb2KdD9Er1IiKVW8KnvTazFmbWIfqV6OuKpILj+7elXmYNXvx2cbJDERGJu0TNWNnAzJ41s23ASoLRGtEvkSqvXmYNTtinLe/9tJIN2XnJDkdEJK4S9TjjMeBE4F/AVCA3QdcRSXlnDurIC98u5vUJS7n4kK7JDkdEJG4SlUQcDlzr7o8l6PwilcYeLeuzf+cmvPT9Yi48qAvpaepgKSJVQ6L6RBiaUEpkp7MO6MjSDTlaV0NEqpREJRGvAsck6Nwilc5verWief1MRn2nDpYiUnUk6nHGJ8CDZlYf+IBfLsKFu3+WoGuLpJyaNdI4bd/2PPL5PJZu2Eb7JnWSHZKIyG5LVEvEf4HOwLnA6wQzVX4KjI54F6lWTtu/A2lmvPT9kmSHIiISF4lqiRiWoPOKVFqtG9bm1z1b8vqEpVx5WHdqZaQnOyQRkd2SkCSisk9tLZIoZx3QkY+mr+LDaSsZ0b9dssMREdktCZ2x0syamNlRZnaWmR1pZk0SeT2RVDe4a1O6NK/LKM1gKSJVQMKSCDO7E1gOvAs8D7wHLDezOxJ1TZFUZ2acuX9HJi3ZxLTlWckOR0RktyRq2usrgRuBF4FDgZ4E/SReBG40s8sTcV2RyuDEAe2olZHGS9+rNUJEKrdEtURcDDzk7he6+5fuPjt8vxB4GLi0rCcys2FmNtbMcsxsg5mNMrOWxZTrbWZvmdkKM8s2s+lmdrWZ1YgoM9DMnjazWWa2zcyWmNlLZtY5LrUWKYOGtTM4fu+2vDN5BVk5O5IdjohIzBKVRHQC3i9h3/vh/lKZ2UEEc05sIliL4wrgYGCMmWVGlGsDfAF0Aa4kmOjqHeB+4K6IU54K9CZIZI4Argf2ASaYWfuyxCQSD2cO6kjOjgLemrQs2aGIiMQsUUM81wN9COaEiNY73F8WtwKLgePdPR/AzGYB44ELgMfDckcDzYAD3X1OuO0zM+sKnA1cF267191/Nu+wmX1DsKrohcAtZYxLZLf0aduQ/h0aMeq7xZw7uBNmWk9DRCqfRLVEvA3cEY7KyAAwsxpmdhpwO/CfMp5nEDC6KIEAcPcfCJKQERHlaobvm6OO30REHaMTiHDbYmAt0LaMMYnExVmDOrJgbTbfzi9rTi0ikloSlUTcAPxIMCpjm5mtBnKAl4ApBJ0uy6IAyCtmey5BS0eRN4B1wKNm1tnMGpjZCOAs4IFdXcDMegItgJlljEkkLo7s25rGdTK0noaIVFqJmmxqi5kdDBwFHAQ0IVg/40vgQ3f3Mp5qNkFrxE5m1hFoDezskebuq83sAILpthcUbQZuc/f7Sjp52OnySYKWiH/totxIYCRAhw4dyhi6yK7VykjnlH3b88+vF7IyK4fWDWsnOyQRkXJJ2DwRHnjP3a8LR2lc5+4flCOBAHgI2M/M7jSzFmbWAxgFFIYvAMysOfAWkA2cRDCc9E7gJjO77pen3elRYDBwprtv3EVdnnb3ge4+sHnz5uUIX2TXzty/I+7Oc+MWJTsUEZFyS+iMlbvL3V8iSAauBlYDMwgmsPoAWBlR9E8EIz4Od/f/uPsX7n4LweiMO8ysWfS5zewegtaF8939k4RWRKQE7ZvU4Yi+rXn5uyVs2a7hniJSucQtiTCzQjMrKOMrv/QzBtz9ZoKRF3sBrd39NKA7MDaiWF9gXjGtCeOBDKBbVKx/JhjeeYW7jyp/bUXiZ+RBXdiSm89rPyxNdigiIuUSzz4RtxP0Q4g7d88GpgKY2XCgB8EQzyKrgMFm1jgqkdg/fF9etCGcLfNO4M/u/kgi4hUpj37tG7Ff5yY8+80izhnciYz0lG4gFBHZKW5JhLvfFq9zFTGz/gSTQk0KNw0BrgXuc/dxEUWfBM4APjGz+wmGgA4FrgHedvel4flOBR4EPiKYRyKy0+Zmd58R7zqIlMXIg7rwuxcm8MHUlRy3t0Ybi0j5uTtvTlzGoC5Nad+kToVcM1FrZ2SYWd0S9tUtmjuiDPKAI4FXCeaeOBK42N1/1lnS3b8jGAWylqAz5rvACQStI2dEFB0OWPj+bdTrcUSS5NAeLejavC7PfL2A8vU9FhGB9VtzuWjURK5986cK7ahtibhhmdkLQA13P72YfS8Cee5+ftwvXAEGDhzoEyZMSHYYUgW9On4J1781lZcv3J/BXX/RF1hEpFhjZq7muv/8xOacfK45fA8uGNKF9LS4zoJb4skS9fB1KMGcDcV5F/hVgq4rUmkd378tzerV5JmvFpReWESqvezcfG54ayoXPD+BZvUyefcPBzLy4K7xTiB2KVFrZ7QA1pSwby3wi1U4Raq7WhnpnHNAJx4YPYc5q7ewR8v6yQ5JRFLUxMUbuer1H1myYRsXHdKFq369B5k10is8jkS1RKwhGHZZnL6UfQEukWrlzEEdqZWRxj+/VmuEiPzSjoJCHvhkNic/OY78AufVCwdxwxE9k5JAQOKSiPeAm81sr8iNZtYX+DPwvwRdV6RSa1y3JqcMbM87k1ewZvP2ZIcjIilk4bpsTnh8HI98No8T9mnHR1cexP5dmiY1pkQlEbcQrKA50czGmdnr4ZLbk4As4KYEXVek0rtgSGd2FBby/LeLkh2KiKSI1Zu3c/oz37Fs4zaePHMf/nZyP+rXKutAx8RJSBLh7uuAfYF7CHp17h2+3wXsG+4XkWJ0bFqX4b1b8eJ3S8jOLfPkriJSRW3Ly+eC538gK2cHL/5uf4b3aZ3skHZK5AJcm9z9Fnc/wN33cPfB7n6bu2cl6poiVcWFB3chK2cHb0zQVNgi1VlBoXP5Kz8yY8VmHj29P73bNEx2SD+TqMmm7gqX7BaRGOzToTEDOzbmX98sJL+gsPQDRKRKuuv9mXw6czW3HdubQ3uk3sDGRLVEXA7MN7MPzOxYM9NiACLldOHBXVi6IYePp69OdigikgQvfLuIf3+zkPMO7MTZB3RKdjjFStQf91bA7wnmg3gHWGxmt5qZFgUQKaPDerakc7O6PP3VfE2FLVLNfD5rDbe9O53DerbgpqN6JTucEiWqY2W2uz/l7gMIVtL8hGDhrIVm9na4EqeI7EJ6mnHBkM5MWZbFD4uiV7kXkapq+oosLnt5Er3aNOChU/tX6AyU5ZXwxwzu/oO7XwB0BsYBxwHvm9kCM/u9HnWIlOzEfdrRpG5NnvpyfrJDEZEKsCprOxc8N4EGtTP41zn7UjczURNLx0fC/4CbWVczuw+YDgwmWI3zDIKVMx8kWMZbRIpRu2Y65w3uxJhZa5i6TAObRKqy7NxgKOeW7Tv41zn70rJBrWSHVKpEjc5IN7OTzGw0MJsgaXgC6OTuJ7r7q+5+BvAH4LeJiEGkqjj3wE40qpPB30fPTnYoIpIg+QWFXP7KZGau3MyjZ+xDrzYNkh1SmSSqJWI58BrBAl+nAR3d/VZ3XxFVbjKgVYZEdqF+rQwuOrgrn89ey8TF6hshUtXk5hdw2cuTGTNrDX85tjfD9myR7JDKLFFJxBtAH3cf5u5vuHux0+65+/furj4RIqU4Z3BHmtWrqdYIkSpma24+5z/3Ax9NX8XNR/firBQdylmSRI3O+IO7z0zEuUWqozo1a3DxIV35Zt56vlugRXBFqoIN2Xmc8cx3fLdgAw+c3I8LhnROdkjllqg+EdeZ2SMl7HvYzK5NxHVFqrIzB3WkZYNM/v7JHM0bIVLJrczK4ZSnvmXWqi08deYAThzQLtkhxSRRjxLOA34qYd+P4X4RKYdaGelcNqwb4xdt4Ou5WsNOpLKav3YrJz3xLauztvPC+ftxWK/Um866rBKVRHQA5pawbwGgdTVEYnDKvu1p26g2D4xWa4RIZTRteRanPPktufkFvDJyEPt3aZrskHZLopKIbUBJU1y3A3ITdF2RKi2zRjp/OLQbU5Zu4rNZa5IdjoiUw7fz13Pq099RKyOdNy4eTJ+2qbUiZywSlUR8DVxrZpmRG8PPV4f7RSQGJw5oR4cmdfi7WiNEKo2Ppq3inGfH07phLf5zyWA6N6ub7JDiIlFJxG1Ad2BOuCz4pWZ2FzAn3H5Lgq4rUuVlpKdxxa+6M33FZj6evirZ4YjILizflMOlL03k4hcn0qt1A16/6ABaNUz9mSjLKiGTcrv7FDMbBvwNuI4gWSkExgInuvuURFxXpLo4vn9bHv9iHn8fPYdf92qV0gv0iFRH23cU8PRXC3j8i3kAXP3rPbjw4C7UykhPcmTxlbCVPdx9PHCwmdUGGgMb3T0nUdcTqU7S04wrD9uDP7wymfd+WsFxe5fUBUlEKpK7M3rGau54fwZLN+RwZN9W/PmoXrRtVDvZoSVERazimePuK2JNIMxsmJmNNbMcM9tgZqPMrGVUmefMzEt4zYoq29nM3jSzTWaWbWafm9nA3amjSDIc1bc1PVrV56FP55JfUJjscESqvflrt3LOsz8wctREatVI56Xf7c/jZwyosgkEVEASsTvM7CDgE2ATcCJwBXAwMCaq0+YdwAFRr9PCfe9GnK8pwSOVPsBFwKnhrs/NrGfCKiKSAGlha8SCddm882P0sjQiUlGyc/O558OZDH/wKyYv3sjNR/figysO4sBuzZIdWsKl9kLlcCuwGDi+aP2NsGVhPHAB8DiAu88H5kceaGa/Dn98PmLzJUBL4BB3nxeW+4xg7oq/AKckrCYiCXB475b0aduAh8bM4bi925CRntLfC0SqnB+XbuKKVyezeP02ThrQjuuG96B5/czSD6wiUv2OMwgYHbmAl7v/AKwHRpRy7NnARHefHnW+uUUJRHi+bIIhp0ebWaonVSI/Y2Zc9es9WLohh3s/nEVBoYZ8ilSEgkLnsc/ncdIT48gvcF4bOYi/ndyvWiUQkPotEQVAXjHbcwkeSRTLzA4EugGXl+N8tYGugJZJlEpl2J4tOG2/Dvxz7ELmrd3KQ7/tT8M6GckOS6TKWrEphz++9iPfL9zA0Xu15q4RfWlYu3r+P5fqLRGzCVoPdjKzjkBroMkujjsb2AG8Usz5uod9I4rOlwbsF34s9pxmNtLMJpjZhLVr15avBiIJZmbcPaIPdx7fh2/mrePYx8Yya9XmZIclUiW9/9NKhj/4FVOXZ/G3k/vxyGn9q20CAamfRDwE7Gdmd5pZCzPrAYwimHOi2O7oYYfLU4D33D16laInCer8gpl1NbPWwMNA0fqrxZ7T3Z9294HuPrB58+a7XyuRODMzzhzUkVdHHkBOXgEjHhvH/6aos+Wu7CgoZFtefukFRQg6T177xhR+//IkOjeryweXH8RJA9phVr3naLFUnzbXzO4ArgFqAQ68BtQF+rh7l2LKnxKWOd7d/1vM/hOBxwg6WAJMAj4Lr9HR3ZfsKp6BAwf6hAkTYq+QSIKt2bydS1+axITFG7nwoM5cN7wHNapZh0t3Z9z89cxbs5X1W3NZn53H+q15rM/+/5+zcnaQnmZcOrQrl/+quzqlSommLN3Ela/9yKL12Vw6tCtXHrZHdfv3UmKmlPJJBICZ1QW6AGvcfbWZzQR+cPeziyn7PsHjiTbuvqOE86UDewB57j7fzJ4AjnL3DqXFoiRCKoO8/ELuen8Gz3+7mMFdm/LIaf1pWq/qd/gqmujn4c/mMm158EjHDJrUqUmTujVpWq8mTetl0rRuTZrWzWTBuq3898cV9G3bkH/8th/dWtRPcg0k2dZtzWXa8qzwtZlpK7JYtjGH1g1r8Y/f7s2gSr7qZowqdxIRycyGAx8CB7r7uKh9LYFlwOPufkUZz9cGmAbc7+73lFZeSYRUJm9OXMaf355Ks3qZPHnmAPq2q/yrBhansND5ZMZqHh4zlxkrN9OxaR0uG9aNYT1a0LhOzV1OC/7RtJXc8NZUtuUVcP0RPTjngE6kaRrxaiErZweTlmzkp6VZTF2exfQVWazM2r5zf6emdejdtiF7tW3Ib/dtT6M6NZMYbVJVziTCzPoDRxA8cgAYAlwLPOju1xVT/irgAWCAu08qZn8GcB/wJbAZ6A3cQDDHxK/cvbiRGz+jJEIqm6nLsrj4xYms3ZrLncf34ZSB7ZMdUtwUFjofT1/FQ2PmMmvVFjo3q8tlw7px3N5tyvUIZ82W7Vz35k98PnstQ7o14/6T96J1w6o7y2B1tTIrhx8WbWTCog2MX7iB2au34B60VnVpVpe+bRvSp21DerdpSO+2DWhQq/p2mIxSaZOI3sBTBMM5M4GZwCPu/mwJ5acAae7et4T9NYB3gH2BRgStFq8Ad7v7trLEpCRCKqMN2Xlc/spkxs5bx2n7tefWY3pX6oWACgqdj6at4uExc5m9egtdmtXlD7/qxjF7lS95iOTuvDx+CXe+N5OMdOPOEX05tl+bOEcuFWH7jgJWZW1nRVYOC9ZmM2HRBn5YtJHlm4LVF+rWTGefjo0Z2LEJ+3ZuTL92jaibmeozHiRV5UwiUpGSCKmsCgqdv4+ezWOfz2evdg15/Ix9aNe4TrLD2qW8/EIWrc9m7uqtzFuzlblrtjBvzVYWrMsmL7+QLs3rcvmh3TmmX5u4rWS6cF02f3ztR35cuolj+7XhjuP6aN6NFLRpWx7fLdjAkg3ZrNi0nRWbcliZtZ2VWTms2/rzRuVm9TLZr3OYNHRqQs/W9atdZ+PdpCQiXpRESGX3yfRVXP36FGqkGw+f1p+DuqfOsOW8/EI+nbma935awaxVW1i8ftvPZuFs36Q23ZrXo3vL+uzToVHClkHPLyjk8S/m89CYubRqUIt/n7sve7ZSp8tkyssvZPKSjXw9dx1fz13LT8uzKPrzVS+zBq0b1qJNo9q0aVSL1g1r07phLdo2qk37JnVo17h2tR+KuZuURMSLkgipChauy+biUROZs2YL1/xmTy45pGtMnQk3Zucxc9VmZq3cwuxVW5i1ajNbtudz8B7NOaxnS/br3ISaNUr/xrdg7VZe+2Ep/5m0jHVb82jZIJO92zeie4v6dGtRj24t6tG1eT1q16zYRzCTl2xk5KiJ5OQV8Ojp/Rm6Z4sKvX515u4sWJfN13PW8vXcdXy3YD3ZeQWkpxl7t2/EQd2bcVD3ZnRvWV99FxJPSUS8KImQqmJbXj43vDWV//64gsN6tuSBU/oVO/NefkEhq7fksnxjDss2bmP26i3MWhkkDKs35+4s16RuTXq0qk9mjTTGzV9Pbn4h9WvVYOieLTisZwuG7tniZ+ffvqOAj6at4pXxS/h+4QbS04xf9Qim8D54j+YJaWGIxYpNOVzw/ARmr9rMrcf05pzBnZIdUpU3cfFGbv/fdKYsywKgY9M6YdLQnAO6NlXSUPGURMSLkgipStydF75dzB3vzaBd49qcP6QzazbnsnxTDss35rB8Uw6rNm//2SOFjHSjW4v69GxVnx6t69OjVQN6tK5P83qZO5uMc/IKGDtvHaNnrGLMzDWsz86jRpqxf5cmHNqjJUs3bOPtycvJytlBx6Z1+O2+7Tlpn3a0aFArWb+KXcrOzeeKV3/k05mrOfuAjtxydC89U0+A1Zu389cPZ/H25OW0bJDJpUO7MWzPFnRomtp9d6oBJRHxoiRCqqKJizdw6UuTWL05l/Q0o1WD4Hly28a1aduoNm0ifu7YtE65ZusrKHR+XLqJT2eu5tMZq5m7Zis109M4vE8rTtu3PYO6NK0U8zIUFDr3fjSLp79awEHdm/HYGfvoG3Gc5OYX8K+xC3n0s3nkFzgXHtyZS4d204iJ1KEkIl6UREhVlZNXwIZtebSsn5nQb9lLN2yjfq0alXbinlfHL+Gmd6bRuVld/nXOvvqWvBvcnU9nruHO92eweP02ftOrJTcd1Uu/09SjJCJelESIyLh567j4xYnUSE/j6bMGMLDTrhYVluLMW7OFv/xvBl/PXUe3FvW49ZheKTVSSH5GSUS8KIkQEQhGlJz/3A+s2LSdv/+2H0fvpYmpSuLuLNuYw6QlG5m8ZBOTl2xk2orN1KmZzh8P24OzDuhY3Ra0qmxKTCL0wElEJAZdmtfj7UsPZOSoCVz+ymS25RZwyr5VZ0rx3ZGdm8/U5VkRScMm1m0NRvLUzkinX/uGXDq0K+cO7lQtFoarypREiIjEqHHdmrxw/v6MHDWBP/3nJ7bm5nP+kM7JDqvCuDsrs7Yzc+VmZqzYzMxVm5m5cguL1mfvnAiqc7O6HLxHM/p3aMw+HRqxZ0vNFlmVKIkQEdkNtWum889zBnL5K5O5/b0ZZOfmc9mh3arkDInuzjfz1jNm1mpmrgwShqycHTv3d2hSh56t63Pc3m3Yq11D+rdvTOO6lbMDrZSNkggRkd2UWSOdx07fhz+9+RMPjJ7D1rx8rh/eo8okEjsKCnnvpxU8/dVCZq7cTO2MdPZsVZ8j+7amV+v69GzdgD1b1ae+hrxWO0oiRETioEZ6Gn87uR91MtN56ssFZOfmc/uxfSrFHBgl2bx9B698v4Rnv1nEqs3b6d6iHvedtBfH7d2GzBqVdxVYiR8lESIicZKWZtxxXB/qZtbgqS8XsC23gPtO2qvS9QFYtnEbz36ziFfHLyE7r4ADuzXlnhP7MnSP5lWmdUXiQ0mEiEgcmRnXD+9B/cwa/O2TOWTn5fPwaf0rxTf3heuy+cfoObw/dSUAx+zVmt8d1IU+bRsmOTJJVUoiRETizMy47NDu1M2swV/+N4Oz/zWesw/oxIHdmqbkTJ2bt+/gkTFzeW7cImqmp3HBkM6cO7gTbRrVTnZokuKURIiIJMh5B3amXmYNbn9vBr9/eRJmsFfbhgzp3owh3ZqzT8dGSW2hKCh0Xv1hCX//ZA4btuVxyoD2XH34HrSon5oLoUnq0YyV5aQZK0WkvPILCpmybBNfz13H2LnrmLx0EwWFTu2MdPbv0oQh3ZrRv0Mj2jeuQ/P6mRXS72DcvHXc/t4MZq3awn6dmnDLMb302EJKommv40VJhIjsrs3bd/Dd/PWMnRckFQvWZe/cl1kjjXaNa9O+SR3aN65D+ya1w/c6dGtRj1oZu9dysWhdNnd/MJNPZqymXePa3HhkT47o00odJmVXlETEi5IIEYm35ZtymL1qM0s35LB0wzaWbtzGso3Bz5u35+8sl55mdG9Rjz5tG9KnTQP6tG1Iz9YNSlwyOytnB0s3bGPx+m0s2bCNuWu28L8pK6iZnsalw7pxwZDOu52USLWgtTNERFJV20a1aVtCJ8aiRGDJhm3MXLmZqcuz+GL2Gt6cuAwAM+jSrC592jakVYNaLNuUszNxiJxNEqBxnQxO6N+Oq3+zBy0aqN+D7D61RJSTWiJEJNncnTVbcpm2PItpy4PEYvqKLNZuyd35KKRj0zp0aFL0qkv7JrU1o6TESi0RIiJVhZnRskEtWjaoxa96tty53d3Vt0EqVOWaRk1EREqkBEIqmpIIERERiUnKJxFmNszMxppZjpltMLNRZtYyqsxzZuYlvGYVc86eZvaGma0LzzvbzK6ouFqJiIhUfindJ8LMDgI+AT4GTgSaAncCY8xsgLvnhkXvAJ6MOrwT8ArwbtQ5BwKfAV8AvwOygO5AvYRUQkREpIpK6SQCuBVYDBzv7vkAYcvCeOAC4HEAd58PzI880Mx+Hf74fMS2tPDzGHcfEVH880RVQEREpKpK9ccZg4DRRQkEgLv/AKwHRpR4VOBsYKK7T4/YNhToBfw9znGKiIhUO6meRBQAecVszwX6lHSQmR0IdCOiFSI0JHyvZWbfmdkOM1tjZg+bmZarExERKYdUf5wxm6A1Yicz6wi0BnYUe0Tg7HD/K1Hb24TvrwGPAtcDA4HbgfaU0LphZiOBkeHHrWY2u+xVKFUzYF0cz5dsqk/qqkp1AdUn1ak+qau8dfnI3YcXtyPVk4iHgBfN7E7gYaAJ8DRQGL5+wcwygVOA99w9+pdU1PLyorvfEv78hZmlA381s17uPiP6nO7+dHjduDOzCe4+MBHnTgbVJ3VVpbqA6pPqVJ/UFc+6pPTjDHd/iWA0xtXAamAGsBz4AFhZwmHHAY345aMMCPpSAIyO2v5J+L537NGKiIhULymdRAC4+80ETS97Aa3d/TSCIZljSzjkHIJmmg+K2VfUyTJ6wZCiad6Kbd0QERGRX0r5JALA3bPdfaq7rzaz4UAPfjkvBOEkVL8BXnb34vpMfEjQKTP62c7h4XsyVtZKyGOSJFJ9UldVqguoPqlO9UldcatLSq/iaWb9gSOASeGmIcC1wIPufl0x5a8CHgAGuPuk6P1hmVuBm4H7CCadGkgwH8Vr7n5uvOsgIiJSVaV6EtEbeIpgOGcmMBN4xN2fLaH8FCDN3fvu4pwG/BG4FOhA0LfieeCOElovREREpBgpnUSIiIhI6qoUfSJEREQk9SiJEBERkZgoiRAREZGYKIkQERGRmCiJEBERkZgoiRAREZGYKIlIAjNrb2ZvmlmWmW02s7fMrEOy49odZnakmX1lZlvDOk0ws0OTHdeumFk7M3vEzL41s21m5mbWKarMr8zsRTObb2Y54fsTZtYiSWGXqCz1Ccv1Dv/NrTCzbDObbmZXm1nKLMhnZieZ2X/MbHH4e59tZveYWf1dHPNUWOcXKzLWsjCzw83sMzNbZWa5ZrbMzF43s15R5Rqb2T/NbF343+ZTMytx3ptkKWt9wrKDzOwjM9sU1mmqmZ2ajLjLKozXw8Ufi7ZVmntBtOLqE27f7XuBkogKZmZ1CGbK7EGwzsdZBGuBfG5mdZMZW6zM7CLgv8BEguXUTwbeAOokM64y6Eaw4utG4OsSylwMNCVYCG44cA9wLPCdmdWriCDLodT6mFkb4AugC3AlcAzwDnA/cFcFxFhW1wAFwI0Ev/cngEuA0Wb2i/uWmQ0GzgA2V2SQ5dCE4P+Pywim5r8B6E3w76gj7JwI712C+v4BOBHIILg3tEtG0LtQan0AzOwo4CtgFXA6wQKJzwC1KjrgsjKz04B+xeyqTPeCnUqqT9zuBe6uVwW+gCsIbo7dIrZ1BvKBq5IdXwz16QTkAFcmO5YYYk+L+Pl3BAuzdYoq07yY4w4Oy56f7DrEUJ+R4fY9ora/CqxMdh1K+b2fHcZ+aNT2DGAawR+yRcCLyY6/jHXcM6zP1eHn48LPwyLKNAQ2AA8nO94Y6lMfWEOwTEHS4ytjHRoRJDynhXW5M2JfpbkXlLE+cbkXqCWi4h0LfOfu84o2uPtC4BuCm0hlcz7B6qe/WBAt1bl7qau2uvvaYjb/EL63jW9Eu6cs9QFqhu/R39g3kUItk+X8vV8LpBOsm1OZrA/fi6bbPxZY4e6fFxVw9yzgf1SOe0N0fU4GmlO5/rvcB0x391eid1Sme0GEEutDnO4FKXPTqEZ6E3xrijYd+MXzxEpgCDALODV8RphvZvPM7PfJDiyBDgnfZyY1iti8AawDHjWzzmbWwMxGEDxWS/Wb/S9+72bWFbgJuNTd85ISVTmYWbqZ1TSz7gTrAq0i+OYHu743dEjFJvNS6jOEoBWlb9gPIt/MlprZrWaWnqyYS2JmQwhauy4tx2Epey8oQ33ici9ImY5U1UgTgmfW0TYAjSs4lnhoE77uJ3h+PZ/gG8ijZlbD3R9KZnDxFnbse5DgpvFOUoOJgbuvNrMDCPqwLCjaDNzm7vclL7JdM7O2wO3Ap+4+IWLXk8Bbkd/eU9z3wIDw53kEj2bWhJ+bEDyOibYhfG8MbE1odOW3q/q0IegX9TJwB0EfisMIVlFuRLAQYkowswyCJOhv7j67jMek7L2gLPWJ171ASURyFLfqmVV4FPGRRvDs81x3fyvc9lk4KuAGM3vYwwdtlV3YY/kVgqbLA909P8khlZuZNQfeArKBkwiaoA8FbjKzXHe/N5nxFSf8Bv5fgn5D50VsPxPYl6CTcmVxFtCAoDPbNQQdRYe4+yKCe0Bluzfsqj5pBB0o/+zufw/Lf2FmTYHfm9lt4eOaVHAdUJsydiisBPeCUusTr3uBkoiKt5HgG0e0xhTfQpHq1hOMLhkdtf0Tgh7MrYEVFR1UvIUjAp4n+CZ1lLv/lOSQYvUngs6wHd296N/bF2Hz8h1m9i93X5e06KKYWS2CEQtdgEPcfVm4vR7wd+BeYLuZNQoPSQMyws/Z7r7jFydNIncvavb+3sw+JGh5uJ6g5/8GSr43QAreH0qpT1EfieLuDRcTPL4ZVwFh7pIFw+v/TNAZOdPMMiN2Z4b/lra4e0FYPqXvBWWtD3G6F6hPRMWbTvA/T7RewIwKjiUeppewvejbU1k6+1UGTwK/BU519zHJDmY39AXmRdw0iownGOXQreJDKl7YJPsfYD/gSHefGrG7GUGnvbsJ/rgWvdrz/8Ncj6rQgMvJ3TcRPAIo+p3v6t6wxN1T7VHGz5RQH/hl60qq3Ru6ELSYvMjP/y1B0LqykeD/myKpfi8oa33ici9QElHx3gUGmVmXog1h0/+B4b7K5u3w/fCo7YcDy9x9VQXHE3dm9gBBVn+eu7+T5HB21yqgm5lF97/ZP3xfXsHxFCv8tvcS8CvgOHf/LqrIKmBYMa/VwKfhz2MrLOAYmFlLgkcx88NN7wJtzeyQiDINCMbvp/y9oZj6vBO+D48qejiwneI7kSbDjxT/bwmCP8TDCJKjynIv+JGy1Scu9wI9zqh4zxBM0PJfM7uJIEu/A1hK0BGmsvkA+Bx4ysyaEXTQOYlgAprzdnVgKjCzk8IfizqHHWFma4G17v6lmV0HXAX8G5hrZoMiDl/r7vNJIaXVh+Bb1BnAJ2Z2P0GT81CCbyhvu/vSCg65JI8RdNC9C8iO+r0vCx9rfBF9kJltB1a7+y/2JZOZvQ1MAn4iGFK3B0HHwnz+vyf8u8C3wItmdi3BN8YbCL65p1Sn17LUx92nmdlzwO1hUjiJ4BHA74A7UqVlJWxB+SJ6ezD3F4uL/i1VlntBOeoTn3tBsifDqI4voANBM+1mgmdT7xA1KVBlehF0rHqM4FtgHsGN5fRkx1XG2L2E1xfh/i92Uea5ZMdf3vqEZQYRJH8rCTpVTScYJlk72fFHxLhoF3W5rZTjUm6yKYKObhMJxuBvA2YTfGnoFFWuCcEfqQ1huTFAv2THvxv1qUkww+PS8N4wB7gi2fGXsY7RkzNVqntBafUJt+32vcDCE4mIiIiUi/pEiIiISEyURIiIiEhMlESIiIhITJREiIiISEyURIiIiEhMlESIiIhITJREiIiISEyURIiIiEhMlESIiIhITP4P9ovc4LDWB+MAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<Figure size 576x1152 with 3 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "###############################loading pte calculation files#####################\n",
+ "\n",
+ "path1='/pf/b/b380796/scratch/NAWDEX_Anubhav/0.025/1deg/1m/'\n",
+ "path2='/work/bb1018/b380723/pte/0.025convoff/1m/'\n",
+ "\n",
+ "dp_dt=np.load(path1+'dp_dt.npy')\n",
+ "dfi_dt=np.load(path1+'dfi_dt.npy')\n",
+ "i_itt=np.load(path1+'i_itt.npy')\n",
+ "i_tadv=np.load(path1+'i_tadv.npy')\n",
+ "i_vmt=np.load(path1+'i_vmt.npy')\n",
+ "i_diab_res=np.load(path1+'i_diab_res.npy')\n",
+ "\n",
+ "ds=xr.open_dataset(path2+'basicvar_pl_1deg.nc')\n",
+ "\n",
+ "\n",
+ "##########################converting numpy array to xarray###################\n",
+ "\n",
+ "time=ds.pres.time\n",
+ "lat=ds.pres.lat.values\n",
+ "lon=ds.pres.lon.values\n",
+ "dp_dt=xr.DataArray(dp_dt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "dfi_dt=xr.DataArray(dfi_dt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_itt=xr.DataArray(i_itt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_tadv=xr.DataArray(i_tadv, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_vmt=xr.DataArray(i_vmt, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "i_diab_res=xr.DataArray(i_diab_res, coords={'time': time,'lat': lat, 'lon': lon },\n",
+ " dims=['time', 'lat', 'lon'])\n",
+ "\n",
+ "#i_itt.to_netcdf('i_itt.nc')\n",
+ "\n",
+ "#Another method to convert the numpy array to xarray\n",
+ "# a=ds\n",
+ "# a['pres'].values=i_itt\n",
+ "# ds['i_itt']=a['pres']\n",
+ "\n",
+ "######Cyclone centre location###########################\n",
+ "\n",
+ "x=coord[2][0]\n",
+ "y=coord[2][1]\n",
+ "\n",
+ "################for 2(or 4) by 2(or 4) degree box##############\n",
+ "xplus=np.array(x)+1\n",
+ "xminus=np.array(x)-1\n",
+ "yplus=np.array(y)+1\n",
+ "yminus=np.array(y)-1\n",
+ "#######################################################\n",
+ "\n",
+ "#########################calculating weighted mean over cyclone box##################################\n",
+ "\n",
+ "weights = np.zeros((lat.size, lon.size)) + np.expand_dims(np.cos(np.deg2rad(lat)), axis=1)\n",
+ "weights = xr.DataArray(weights, coords={'lat':lat, 'lon':lon}, dims=['lat', 'lon'])\n",
+ "weights.name = \"weights\"\n",
+ "\n",
+ "#tim = i_itt.sel(time=slice(\"2016-09-22T12:00:00\",\"2016-09-24T12:00:00\")).time[0::2]\n",
+ "tim = i_itt.sel(time=slice(\"2016-09-22T12:00:00\",\"2016-09-24T12:00:00\")).time\n",
+ "\n",
+ "\n",
+ "dp_dt_sel=np.full(len(tim), np.nan)\n",
+ "dfi_dt_sel=np.full(len(tim), np.nan)\n",
+ "i_itt_sel=np.full(len(tim), np.nan)\n",
+ "i_tadv_sel=np.full(len(tim), np.nan)\n",
+ "i_vmt_sel=np.full(len(tim), np.nan)\n",
+ "i_diab_res_sel=np.full(len(tim), np.nan)\n",
+ "\n",
+ "\n",
+ "for j in range(0,len(tim),1):\n",
+ " dp_dt_sel[j]=dp_dt.sel(time=tim[j]).sel(lat=slice(yminus[j],yplus[j]), lon=slice(xminus[j],xplus[j])).weighted(weights).mean(('lat','lon'))\n",
+ "for j in range(0,len(tim),1):\n",
+ " dfi_dt_sel[j]=dfi_dt.sel(time=tim[j]).sel(lat=slice(yminus[j],yplus[j]), lon=slice(xminus[j],xplus[j])).weighted(weights).mean(('lat','lon'))\n",
+ "for j in range(0,len(tim),1):\n",
+ " i_itt_sel[j]=i_itt.sel(time=tim[j]).sel(lat=slice(yminus[j],yplus[j]), lon=slice(xminus[j],xplus[j])).weighted(weights).mean(('lat','lon'))\n",
+ "for j in range(0,len(tim),1):\n",
+ " i_tadv_sel[j]=i_tadv.sel(time=tim[j]).sel(lat=slice(yminus[j],yplus[j]), lon=slice(xminus[j],xplus[j])).weighted(weights).mean(('lat','lon'))\n",
+ "for j in range(0,len(tim),1):\n",
+ " i_vmt_sel[j]=i_vmt.sel(time=tim[j]).sel(lat=slice(yminus[j],yplus[j]), lon=slice(xminus[j],xplus[j])).weighted(weights).mean(('lat','lon'))\n",
+ "for j in range(0,len(tim),1):\n",
+ " i_diab_res_sel[j]=i_diab_res.sel(time=tim[j]).sel(lat=slice(yminus[j],yplus[j]), lon=slice(xminus[j],xplus[j])).weighted(weights).mean(('lat','lon'))\n",
+ "\n",
+ "#######################Plotting#############################################\n",
+ "\n",
+ "plt.figure(figsize=(8,16))\n",
+ "plt.rcParams.update({'font.size': 16})\n",
+ "plt.subplots_adjust(hspace = 0.3, wspace=0.5)\n",
+ "\n",
+ "width = 0.5\n",
+ "\n",
+ "data = np.array([dfi_dt_sel/100, i_itt_sel/100])\n",
+ "\n",
+ "data_shape = np.shape(data)\n",
+ "\n",
+ "# Take negative and positive data apart and cumulate\n",
+ "def get_cumulated_array(data, **kwargs):\n",
+ " cum = data.clip(**kwargs)\n",
+ " cum = np.cumsum(cum, axis=0)\n",
+ " d = np.zeros(np.shape(data))\n",
+ " d[1:] = cum[:-1]\n",
+ " return d \n",
+ "\n",
+ "cumulated_data = get_cumulated_array(data, min=0)\n",
+ "cumulated_data_neg = get_cumulated_array(data, max=0)\n",
+ "\n",
+ "# Re-merge negative and positive data.\n",
+ "row_mask = (data<0)\n",
+ "cumulated_data[row_mask] = cumulated_data_neg[row_mask]\n",
+ "data_stack = cumulated_data\n",
+ "\n",
+ "\n",
+ "cols = [\"forestgreen\", \"brown\"]\n",
+ "\n",
+ "ax = plt.subplot(311)\n",
+ "ax.plot(np.arange(0,49,1), dp_dt_sel/100, color='black')\n",
+ "\n",
+ "for i in np.arange(0, data_shape[0]):\n",
+ " ax.bar(np.arange(0,49,1), data[i], bottom=data_stack[i], width=0.5,color=cols[i],)\n",
+ "\n",
+ "ax.set_ylabel('hPa h$^{-1}$')\n",
+ "ax.set_title('Dp/dt terms')\n",
+ "#ax.set_xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))\n",
+ "#ax.set_yticks(np.arange(0, 81, 10))\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['bottom'].set_position('zero')\n",
+ "ax.tick_params(axis=\"x\", pad=70, labelbottom=False)\n",
+ "ax.legend(labels=['Dp', 'Dφ','ITT'], fontsize=12)\n",
+ "plt.xticks(rotation=45,ha='right')\n",
+ "plt.yticks(np.arange(-1.5,1.1,0.5))\n",
+ "plt.ylim(-1.5,1.1)\n",
+ "\n",
+ "\n",
+ "data = np.array([i_tadv_sel/100, i_vmt_sel/100, i_diab_res_sel/100])\n",
+ "\n",
+ "data_shape = np.shape(data)\n",
+ "\n",
+ "# Take negative and positive data apart and cumulate\n",
+ "def get_cumulated_array(data, **kwargs):\n",
+ " cum = data.clip(**kwargs)\n",
+ " cum = np.cumsum(cum, axis=0)\n",
+ " d = np.zeros(np.shape(data))\n",
+ " d[1:] = cum[:-1]\n",
+ " return d \n",
+ "\n",
+ "cumulated_data = get_cumulated_array(data, min=0)\n",
+ "cumulated_data_neg = get_cumulated_array(data, max=0)\n",
+ "\n",
+ "# Re-merge negative and positive data.\n",
+ "row_mask = (data<0)\n",
+ "cumulated_data[row_mask] = cumulated_data_neg[row_mask]\n",
+ "data_stack = cumulated_data\n",
+ "\n",
+ "\n",
+ "cols = [\"red\", \"blue\", \"green\"]\n",
+ "\n",
+ "ax = plt.subplot(312)\n",
+ "ax.plot(np.arange(0,49,1), i_itt_sel/100, color='black')\n",
+ "\n",
+ "for i in np.arange(0, data_shape[0]):\n",
+ " ax.bar(np.arange(0,49,1), data[i], bottom=data_stack[i], width=0.5,color=cols[i],)\n",
+ "\n",
+ "ax.set_ylabel('hPa h$^{-1}$')\n",
+ "ax.set_title('ITT terms')\n",
+ "#ax.set_xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))\n",
+ "#ax.set_yticks(np.arange(0, 81, 10))\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['bottom'].set_position('zero')\n",
+ "ax.tick_params(axis=\"x\", pad=70, labelbottom=False)\n",
+ "ax.legend(labels=['ITT', 'TADV','VMT','DIAB$_{res}$'], fontsize=12)\n",
+ "plt.xticks(rotation=45,ha='right')\n",
+ "plt.yticks(np.arange(-3,3.1,1))\n",
+ "plt.ylim(-3.4,3)\n",
+ "\n",
+ "\n",
+ "ax=plt.subplot(313)\n",
+ "ax.plot(pres6.pres_msl_min_filtered/100)\n",
+ "#plt.xticks(rotation=45,ha='right')\n",
+ "plt.yticks(np.arange(976,995.1,3))\n",
+ "plt.ylim(976,995)\n",
+ "plt.xticks(np.arange(0,48.1,6))\n",
+ "ax.tick_params(axis=\"x\", pad=10, labelbottom=True)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "\n",
+ "ax.set_ylabel(\"cyclone mslp (hPa)\")\n",
+ "#ax.set_xlabel(\"\")\n",
+ "ax.set_title('mslp evolution')\n",
+ "\n",
+ "\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/Figure_14.ipynb b/scripts/plotting_scripts/Figure_14.ipynb
new file mode 100644
index 0000000..a96edc1
--- /dev/null
+++ b/scripts/plotting_scripts/Figure_14.ipynb
@@ -0,0 +1,149 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.ticker as mticker\n",
+ "import pickle\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
+ "\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Loading file containing values for each resolution, of 'area averaged' time series of pte terms around cyclone centre: dp_dt_sel/100, dfi_dt_sel/100, i_itt_sel/100, i_tadv_sel/100, i_vmt_sel/100 and i_diab_res_sel/100 (in hPa)\n",
+ "#See the pte time series script for calculation of these terms for each resolution\n",
+ "\n",
+ "pte=np.load('/work/bb1018/b380723/pte/0.8/1m/pte_2deg_1m.npy')\n",
+ "\n",
+ "dP_dt=[pte[0][0,10:22].mean(),pte[1][0,10:22].mean(),pte[2][0,10:22].mean(),pte[3][0,10:22].mean(),pte[4][0,10:22].mean(),pte[5][0,10:22].mean(),pte[6][0,10:22].mean(),pte[7][0,10:22].mean(),pte[8][0,10:22].mean()]\n",
+ "dfi_dt=[pte[0][1,10:22].mean(),pte[1][1,10:22].mean(),pte[2][1,10:22].mean(),pte[3][1,10:22].mean(),pte[4][1,10:22].mean(),pte[5][1,10:22].mean(),pte[6][1,10:22].mean(),pte[7][1,10:22].mean(),pte[8][1,10:22].mean()]\n",
+ "ITT=[pte[0][2,10:22].mean(),pte[1][2,10:22].mean(),pte[2][2,10:22].mean(),pte[3][2,10:22].mean(),pte[4][2,10:22].mean(),pte[5][2,10:22].mean(),pte[6][2,10:22].mean(),pte[7][2,10:22].mean(),pte[8][2,10:22].mean()]\n",
+ "TADV=[pte[0][3,10:22].mean(),pte[1][3,10:22].mean(),pte[2][3,10:22].mean(),pte[3][3,10:22].mean(),pte[4][3,10:22].mean(),pte[5][3,10:22].mean(),pte[6][3,10:22].mean(),pte[7][3,10:22].mean(),pte[8][3,10:22].mean()]\n",
+ "VMT=[pte[0][4,10:22].mean(),pte[1][4,10:22].mean(),pte[2][4,10:22].mean(),pte[3][4,10:22].mean(),pte[4][4,10:22].mean(),pte[5][4,10:22].mean(),pte[6][4,10:22].mean(),pte[7][4,10:22].mean(),pte[8][4,10:22].mean()]\n",
+ "DIAB_res=[pte[0][5,10:22].mean(),pte[1][5,10:22].mean(),pte[2][5,10:22].mean(),pte[3][5,10:22].mean(),pte[4][5,10:22].mean(),pte[5][5,10:22].mean(),pte[6][5,10:22].mean(),pte[7][5,10:22].mean(),pte[8][5,10:22].mean()]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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m5f0EdJB0yv83gc8CJxKaiI6JTflvZv2AxcDS+InmzGwS8ANCDc5iYAMhwfk8UA48CnzZ3etaGJMmoBMRyT5NQFfgCmECulityxDgx8BpwBmEGXN/DlQn1qKkMIcwJ8wRhKahbsDHwHOEeV1+7YWQ5YmIiOSxgqhx6YhU4yIikhOqcSlw6cycO7OFRd3dL25lPCIi0gKbaxt5YNZqHpmzjvU1DXSvKOXME3sw8tRe7FKezkwXIvmlxTUuZtbYTJHYiCN39444w25WqcZFRDJlc20j/33tUj5YWU9d/fb/Krp0Nvau7MwtV+9bzMmLalwKXDq/2fuleBwBjAH+AzwA7N/OMYqISJwHZq3eKWkBqKt3PlhZzwOzVucoMpHMa3Hi4u5LUzxedfcZwFBCx9jhGYtWikZNXQ1Vc6qonFJJSXUJlVMqqZpTRU1dTa5DE8m5R+as2ylpiamrdx55ui0ThYt0bO3aOdfM7gEGu/th7XbRPKWmotarqavhqBlHsWjtImq31m7bX96pnP679Wfu6LlUdKnIYYQiuXXy6IVN/gdhBk/eMTBr8XQwaioqcO3dCPoR26fYF2mVKc9P2SlpAajdWsuitYuY8vyUHEUm0jF0r2i6G2Fzx0XyWbslLmZWCpxE2xYzLGpWbRVWbZOs2lYWc/PItHnTdkpaYmq31nLbvNuyHJFIx3LmiT3o0jl5xUKXzsaZJ6Rac1Yk/6UzHDrVysidgL7AKGAwYRVpSZNVWwXwIjAAKHecVZtWccMLN/DQmw8VVfPI6k1NdyxcvVkdD6W4jTy1F8+9XJNyVNHIU3vlMDqRzEpn5tynabrfhQHPAhPaElARu5IoaYnfGd88Un1idW4iy7JeXXuxatOq1Md30X/KUtx2KS/hlqv3DfO4PB03j8sJxTmPS/ycNutqGhqB1cAvgBtnzxhYXFXWRSCdeVwmkTxxaQTWAi+5+0vtF1p+S7dzrlXbSmCPVMcru1ayYsKKdomto6uaU8UNL9yQtLmovFM5E4+ZWDRJHITOylOen8K0edNYvWk1vbr2YuyQsUw4dkLR1MKJpJJqThugFngHOFrJS2HRlP8Z0orEpZEmesOXWAkN/6+hXWLr6DSqaLuauhqOvOMo3ln9DvW+Zdv+zlbGgF4DeOmS4rkXIsnc/aeV/O7xtamGh9cC18+eMXBSdqOSTCqu+sSOrcmOG8XUPFLRpYK5o+cy8ZiJVHatpMRKqOxaycRjJhZV0gJw3TM38NbKHZMWgHrfwlsr3+G6Z27IUWQiHUNTc9oQmt7HZjEcyYK0a1zMrCtwNmHG3J6EUUT/BP7o7hvbO8B81Yoal0nA90no4wLF2Twiwa4/6UVNQ+rFzXct7cX6a1L3BxIpdM3NaQM0zp4xUOPDC0g6nXMxszOAXwG7s2OzhgNTzWyUu/+lHeMrJjcC55DQQTfWPDLhWPV5LkY1W9c2OZ3Whq2pkxqRYtC9opR1NU02o2sYYoFpcVORmX0a+AOhluW3wEXA6dH2t9H+B83sM+0eZRHwKq8BjgauB1YWc/OIbNe5sWczx3fLTiAiHVRTc9oQ+rhMy2I4kgXp1Lj8kFCz8jl3n5tw7G4z+wVhyPTVhJoDSVOUvEyKHuo1LfSv+xpvld1BY8mWnY6VNJbRv+78HESVO/HDXrcNAT6xOIcAS5BqThu2jyq6MTeRSaak85f+OeD3SZIWANz9/4AHo3Ii0g7GHfldujZ8kpLGsh32lzSW0bXhk4w78rs5iiz7YsNef/f4WtbVNODAupoGfvf4Wv772qVsrm3MdYiSA7E5bb562m702LUUwhQdKwm11xoKXYDSqXHpASxrpsx7QPfWhyMi8b55xr68+MofeH7jL3mv633Ul6ylc+NufHLTeRzb9dt884x9cx1i1jwwa3Wyb9XU1TsfrKzngVmrufBLlTmKTnJpl/ISLvxSZeznr464BS6dCegWA++4+8lNlJkFHOju+7VTfHlLq0NLe9nWPFLkM6Sec8U7TXbC7LFrKQ9NHZDFiKSD0urQBS6dGpdHgW+b2Q+AKe6+7X8QMysBxgPDgV+2b4gixS3h22TRWt/0yJFmj4tIYUgncZkMnAX8FPiWmf0d+BDoAwwF+gHLgZ+0b4giIs0Pe+1eoRYCkWLQ4sTF3Zeb2bHA7cDJQGLj+pPAt939w3aMT0QECMNeU03t3qWzceYJPXIQVe5srm3koSfX8Nhz61i5ZiuVu3fi9KE9OOfk3YuqCVGKT6vWKjKzfQgz5/YgzJw7393fb+fY8pr6uIi0r1SL6XXpbOxd2Zlbrt63aD6wN9c2MuF/lrFnr86cd8bu7LdPGYvf38K9j65hxep6pnyvb9HciyTUx6XAaZHFDFHiItL+1FE5+M0jq1j8fh3XfGsvzLZ/Trs7k2//kP336cIFZ6ZcbL7QKXEpcEpcMkSJi4hkyte+v4jqy/ZhwCd3WtqMt9+rpXraB/zmZ/vnILIOQYlLgUt3raLdCVP8HwnsRvLx8u7uw9ohNhERSWLlmq3st09Z0mP77V3GijX1WY5IJHtanLiY2UGEKf0raTqjVU2BiEgGVe7eicXvb0la47L4gy303r1zDqISyY50GoVvBHoTplHeH+js7iVJHhqTKCKSQacP7cG9j64hsanf3bnv0TWcdqwmMJfCle5aRX9196vdfUn8BHQiIpI955y8OytW1zP59g95+71atm513n6vlsm3f8iK1fWcc/LuuQ5RJGPSmfJ/PXCbu38/syEVhtZ0zh0+emEFcCVwmcEeWvlWRFKJzePy+PPrWbGmnt67d+a0Y7trHhd1zi146SQuc4B17n5WRiMqEOkmLlHS8iIwANjWcF2Mc1SIiLSBEpcCl84n4Y+BM8zshMyEUvSuJCFpgR1XvhURESl2KUcVmdk3kuz+E/CEmd0HvAx8nOxcd7+nXaIrLpeRkLTE1NU7jzy9rugX2RMREWlqOPTd7Dy0OVYF9/Xokey4A0pc0terqYNa+VZERKTpxGVU1qJoB2b2CUJz1mmEJOBD4GGg2t3XZvs6rbAaSDlHt1a+FRERaSJxcfdfZTOQtjCz/sALhHlm/gT8mzC77zjgNDM71t2b7STSXtdppV8A3ydJc1ExrnwrIiKSTFpT/ndg0wjJxuXufktsp5n9LzAe+Cnw7SxepzVuBM4hxaiikac22ZIkIlK0YkPDH3tuHR+t3toALAPuBKbOnjGwJsfhSTvL+0UWzWx/YBGwBOjv7o1xx3YlNPUY0NvdN2b6OnHntGUel7FmVBbryrciIi21ubaRCf+zjD17dea8M3bn2z9e2hkYBFwN7AsMU/JSWAohcRkN3AFMd/dvJTk+CzgFGO7uT2X6OnHl27Q69NSpU5v9wQwaNIiTTz45Vp6jjjqKo48+mpqaGu64445mXyOx/LBhwzjssMP46KOPuPfee5s9P7H8F7/4Rfr378+iRYv485//3Oz5ieXPP/989txzT1577TWeeqrZW7xT+UsuuYSKigpefPFF5s6d2+z5ieXHjx8PwJNPPsmCBQuaPT++/OLFixkzZgwADz/8MIsXL27y3G7duu1QfuPGjXzta18D4Le//S0rVqxo8vzevXvvUL5bt26cddZZAEyfPp2NG5vOrffbb78dyu+33347/C41R797+t2Llc/1756XD2KjHcIVX9uVGTNmMH78eAMYPnqhAQ8Ar8+eMXBysxeWvFEIX+MHRtu3Uhx/O9oemOnrmNkYM5tnZvNooqOtiIi0j9fe3sR5Z+yO2Y7zzs2eMdCB64CLchKYZEwh1LhMBy4BLnH3GUmO/5RQZXi1u1+X6evElW9TjQtaZVtEpFmnXLKQx355IKWl2xKXbf8YPnphZ2Dz7BkDC6U/p1AYNS7Nif0StzURaK/riIhIO6ncvROL39+S6vAgQkddKSBNJi5mNjhLcbTFumibarxw94Rymb6OiIhkyelDe3Dvo2tIbD2I+rhcBczMSWCSMc3VuPzTzBab2f+Y2ecssRGxY1gYbVP1PTkg2qbqu9Le15F2UL9xI6/deisPDR3KvYMG8dDQobx2663UN9PxT0SKyzkn786K1fVMvv1D3n6vluGjF3YePnrhEYSOufsCzff4lbzSZB8XM5sAnAUcFe1aSZiY7Y/AU+5en+kAmxNNGvcOTQ9jLgEqmxkO3S7XiTtHfVxaqX7jRp44/3xqli2jYcv2KuDSsjIq+vbllHvvpXO3bjmMUEQ6ktg8Lo8/v57lq+pj87jMRPO4FKQWdc41sz7Al6PH8YSJ6zYAfyUkMY+15MM8U+KGKqeaOO52d/92tK8z0B+od/dFrb1OC2JS4tJKr916K2/OnLlD0hJTWlbGwRddxGHf+U4OIhORPNARWwakHaU9qsjMegBnAmcTPuS7ArXAbOAPwCMZnBY/VUyJU/W/CXwWOJHQtHNMLCYz6wcsBpa6e7/WXqcFMSlxaaWHhg6lZt1mXt/7S7zZ5zS2dNqVsq0bOHj54xz6wZ+o6LEL5zz3XK7DFJGOSYlLgWvTcGgzKycsRvhl4PPA7kAD8Bzwh/hai0wzs76kXhxxTVy5fqRIXNK5TgviUeLSSr86bAiPDLqODWV70lBatm1/acMWdt3yEWcuuIpvvjYvhxFKrsRP7b5yzVYqd+/E6UN7cM7Ju2t2aYlR4lLg2m0eFzMrJdRMfBn4IrC3uxftksZKXFrvB2fdwPzdTtshaYkpbdjCEWsf52cPT8xBZJJLiVO777dPGYvf38K9j65hxep6pnyvr5IXASUuBa/d/srdvcHdZ7v7Ze7eFzi6va4txeXNPU9PmrQANJSW8eaep2c5IukIHnpyDXv26sw139qLAZ8sp7TUGPDJcn70rb3o3aszDz3Z4gpREcljGft64u4vZeraUtg2NXRp+nhj08elMD323LqkU7ubGeedsTuPP78+R5GJSDapXlU6nO4VTbcwNndcCtPKNVvZb5/kNXH77V3GijU5n51BRLJA6zdIh3PmiT343eNrqavfuZtPl87GmSekmtxYClnl7p3499IaXl6zgEf+9RobamvZtbycMz91GJ/efRC9d++c6xBFJAuUuEiHM/LUXjz3cg0frKzfIXnp0tnYu7IzI0/tlcPoJFeGH1PB1Xe+TsN+/6S+sQGA9bW1/O6Vl3losXPW0f1zHGF2ba6v4/evvrxTEjfi8M+wS2c1p0rhUuLSgdx7yCEVwJXAZZhR1rMnB5x7LgePGlVUM8XuUl7CLVfvywOzVvPI0+tYX9NA94pSzjyhByNP7aWRI0Wqsfe7bNrYCd4ahO31LuxSA5sr2PLh/lDXicbe7wJ75jrMrNhcX8e4hx/gw/XrqGvYnsT9/tWXeW7xO9x81siiSl7WbNrIdU89xusfvo+HEZmNwDPAebPGjPsox+FJO2u34dCyo3SHQ0dJy4vAAKA8tl/T3Iu+WQcj7rmddRvr8eX98JX7QF05dKnFKt/H+iyhZ7cu/O4bY3IdZlbcM+9FfvfKPOobG3c61rmkhK8OHsI3hhTHwM41mzbyzfvuYmtjI407fp41AHXAfkpeCou+unYcV5KQtAA0bNlCzbJlvHnXXbmJSnIq9s3696++zPraWpzt36zHPfwAm+vrch1i1qyvrcVKGyjZZxGlg5+l9MgnKB38LCX7LMJKG1hXuznXIWbNn994NWnSAlDf2Mgjb7yW5Yhy57qnHkuWtACUAl2A+7IflWRS2k1FZlYG/BewD5C0i7+739PGuIrRZSQkLTENW7bw9v33a32eIvT7V1/eoTkgpq6hgQ/Xr+P3r75cNN+syzp1YsvWrU0eLxYbkqzjFW/9ltosRZJ7UfNQKqWE9fWkgKT1l25mFwE3ALulKkJoX1Tikr4me5xu+fjjLIUhHckj/3ptp6Qlpq6hgb/86/WiSVw6lZTQUFLC1iQ1DZ1KSuhUUjwVyLH/aFMet+KZPLYFnR2K5xejSLT4B2pmpwEzCGv3XEn42/kT8EPgyej574GL2j/MotDk4o1lPXtmKQzpSDbUNv3NeX0RNY9srq9n7+496FK64zw+XUpL2bt7DzbXF9c8Lp1TJGqdS0qgiPoutiBFS96mJnkrnUz0e4QP12PcfWq07xV3/5m7nwZcQlgxelE7x1gsfkFYZXsnpWVlHHDuuVkOJ7c219dxz7wXGXHP7Zw2/WZG3HM798x7saj6dADsWp609XCb7uW7ZCmS3KvsVsEVxw1nxOGfoUf5LhjQo3wXRhz+Ga44bhiVFbvmOsSs2aNiV/boVpE0idujW0VR3YtD99qHktQ1TA2E0UVSQNJpKvo08Cd33xC3b1vi4+53mtnXCTUwWkwmfTcC55BiVNHBo0blLLBs01DP7c781GH8/tWXkzYXdSkt5QufOjQHUeXGqQcdwh8XvMIPh52+Q/OYu/PTpx7j1IGfymF02XX6QYfwzqqVnDhgIH99cwHrazfTvXwXPn/wIJasXcOAPSpzHWLWXDXs9OZGFZ2Xm8gkU9KpcelGaCaKqQW6J5SZB3y2rUEVo/PfeKPm1SOPGL5kwH7/V1te5g5s2WUX6k47hePu+VVRDYVuSYfUYjHi8M+wV4rmkb2692DE4Z/JUWTZd/ahR7Biw3p++tRjvLNqBVsbG3hn1Qp++tRjrNiwnrMPPSLXIWbN2YceweqNNSxb9zHXnnEWfxn9Ha494yyWrfuY1Rtriupe7N61G786bxSD+uwd37enEXgWDYUuSC2ex8XMlgBPuPuY6Pki4N/u/vm4MncAX3X3op+TPd15XE6dfnPSeVxiH1DFVMsw4p7bWd9E344e5bsUzXwdsH0el7/86/Vt36y/8KlDi24eFwj34g+vz2fWwn+xsmYDlRW7curAT3H2oUfoXhTxvUhQPD2Ti1Q6ictfgQp3Pz56fjdwLnCyu//dzAYBzwNvuPsxGYo3b7QicZkEfJ8kQ6K7lJYy4vDPFM3okdOm39z0iAng8THjshWOiOQXJS4FLp0+Lo8BN5nZ3u7+AWFY9AjgaTNbA+xO+IX5SfuHWRRSzuNSbMNedy0vp+7jdYx44m984Znn6F6zkfUV3fjL8UP5/SknaYSViEgRSydxuZ0w3HktgLv/y8yGAdcA/Qn9W25y91ntHmVxaHIel2Ia9vrlfgM49ryv02flSsrqw4RjPWs2MuKJp/jc/Nd4/r5f5zhCERHJlXQSl+5AvbtvG4/q7nOBL7R7VMVpNbBHqoPFNOx1xJNz8JWr6FK/4yypZfVb2WvlKkY8OQeOG5aj6EREJJeaHVVkZl8ys3eAFcBKM3vLzL6Y+dCKTsp5XIpt2Gun235JlxSTiXWpr6f0l7dnOSIREekomkxczOwo4CFgf0L/FSOMenkoOibt50bgHRKSl2Ic9srqJicRbv64iIgUrOZqXL4blfkxsCfQh9D5tjQ6Ju1k1phxNcDRwPXAyvhZQYtpKDTA6mbWWVmTpThERKTjaXI4tJktA96NDYGO2/8M0N/dP5Hh+PJWusOhkyiexUYSVJsxEUjWq2czYThbVRGtxSIiadFw6ALXXI1Lb2Bukv3/BxTPnNKSVXf16sUiQpISbzNhIay790jZh1lERApcc4lLZ2Bjkv0bSW9EkkiLffOyyzihrIzrCT3CG6Lt9cAJZWV8Y+zYnMYnIiK5k85aRSJZMWHCBPoMGMD15eXsSciQ9wSuLy+nz4ABTJgwIccRiohIrjTXx6URWBI94vUD9iX5cuHu7kU/yYb6uLRNTU0NU6ZM4bbbbmP16tX06tWLSy+9lAkTJlBRUZHr8ESk41IflwLXksQlXe7upc0XK2xKXEREckKJS4Frrp/KiVmJQkREpACZWeKX0DpgPbAM+CdhrrQn3L0h27HlqxavDi3pUY2LiEhOdKgal7jEpTralgI9gUOAY4EuhLX+vubub2U9wDykxCVDlLiIiOREh0xc3H2nuMxsT+AWYAShBmaIu6/IboT5R6OKOhAzqzCzSWa2sqSkhMrKSqqqqqipqcl1aCIi0s7c/SPgXOBpoC9wdfxxM3vazNzMyszsJ2a22My2mNkiM6sys+KZUj1OWjUuZnY8MAE4EtiN5ImPu3vRz/GSbo2LmVUALxLWgiqP7S8vL6d///7MnTtXo2lERJKo37iRf99zD+/+4Q9s/OCDRkLtxZ3A1PPfeCOn3/yaqnGJKzMMmE2YsqqPRx/MZvY0cDzwZ+C/gAeBeuBLQH/gL8AXvciaTlpc42Jmnyfc2DOATYQZdZ9N8vh7+4fZbGzHmNmjZrbGzDaZ2WtmdoWZtXh0k5n1izLbVI/7M/kegCtJSFoAamtrWbRoEVOmTMnwy4tIPqnfuJHXb7uNP518Mvcdeih/OvlkXr/tNuo3JpsztHDVb9zI3y6+mHXvvMNxP/85QBlwFnAo8NS9hxySD9/4ngO2Emar75fk+MHAIe5+ubt/DxhE+Az+AnBBtoLsKFpc42Jm/yB0JjrL3Z/IaFRpMLMvEXpl1wIPENbgOxMYCDzo7iNaeJ1+wGLgVeDhJEUWuPuDacSVbo3LSiDlXPaVlZWsWKGmTxHZ/mHdbZ99OGT0aHoccADr3n6bN+64g40ffMBJd95J527dch1mVrx+222se+cdjr3xRiws0GoA9x5yiBE+E14//403JucqvpbUuETllhPm2vysu78U7XuaUOPyDXf/dUL5E4A5wNPuXlQjgNNJXDYD97v7qMyG1HJm1h14B+gBHOvu86L95cDfCKstn+fuzdaWxCUuv3L3C9shtnQTl0aa6FRWUlJCQ4NGy4lI0g9rANyd57/3PXoccACHXnppDiPMnj+dfDLH3HADHz7/PG/ffz9b1q51YDXwC+AJ4Lfnv/HGfrmKL43E5SNCjcuR7v6PaN/ThMRlX3d/L6F8KeEL+0Z379n+kXdc6XTOrSHUZnQkXyEs9nh/LGkBcPda4Jroab789a5u6mCvXr2yFYeIdHDv/uEPDLzgAl7/xS94aOhQ7h00iIeGDuX1X/yCAy+4gHf/+Mdch5g1G5cv5/+qqnhz5ky2rF0L4QvgHsD3gdsJnV47tOjL9u7R05VJinyUuCOa92U10D2DoXVI6XSifYpQg9GRnBRtH09y7FlCX5xjzKzM3be08Jp7m9m3gF6EX4oX3f21tofarF8Q/tDKEw+Ul5dzaZF8e5Kd1W/cyJt33RW+TX78MWU9e3LAuedy8KhRRdMcEBPfCXPT8uV07dOH/c8+m4O+8Y2iuhexD+uN//kPDVvCf21b1q7lzZkzee+JJ9i0fHmOI8yezt26UfPeezTW1yceKgcOADZkP6q0DSV8Hn/k7kuSHN8TSFbj0oswmV1RSafG5ftAfzO7xuLrJnNrYLTdadIed99KaPrpBOyfxjVPBn4J/DTavmpmc8zsk22MtTk3Epq9auN3xkYVaWHB4lS/cSNPnH/+9m+T7ts+oJ44//yi6ohZv3EjT40axdLHHqNuwwa8sZG6DRtY+thjPDVqVFHdi9iHdSxpiWnYsoWa996jU9euOYos+xrr65MlLTFlQOcshpM2MysBfhg9vTdFseOT7Psc4fNtfibi6shS1riY2cwku98gzP53kZm9AnycpIy7+8XtEl3zekTbdSmOx/b3bMG1NgGTCR1z3432HQZMIix98JSZDXb3lP87mtkYYEz0NGVH22TcvcbMjiaMLhpbUlJSqYUF5c277qJm2bLkH1DLlvHmXXdx2He+k6Posutfd97JhqVLaairo7GuDoD6DRto2LKF0i5d+Nedd3L45ZfnOMrsaOrDurG+HistnuXiGmprmyuySzbiaA0z6w3cCpxAqFG5NkXRH5nZX9x9bXReOXBddOyuTMfZ0aTsnNvKBRYhzUUWzWwJYaXplvqtu18QnfsWoSrwAHd/J8m1XyA0bx3t7nPTeI34a3QiDFX7LHCFu9/cwvM0c6602UNDh8ba7ZMq2203znnuuSxGlDu/P+ooGmprk35gl3TuTGl5OSPmturPPO/ce8ghzZY5/403shBJ7jX3NwKsPP+NN3pnK55ESab8L2H7lP9DCVP+v0SY8v+dhHOfpul5XP4KnFls87g01cclW72wF5HQPNKMD+L+HatR6ZGsINs7LaWqkWmWu281sxmExOU4oEWJS6uESeiuBC7DDHr1grFjYcIEUI1LUdry8cdtOl5I6jek7qrQTHNBwSnbbbdmE9piccC55/LmzJk71UpGaoFpWQ4plapoW0fod7MUuIftiyw2VVnwVeBHwNeAvYH3Ca0BPyu2pAWaSFzcfWk2AnD3YW04fSEwBDgQeDn+QFRTsh9hUp93dz41LbFe3pnr/Zc4c647rFoFN9wADz0Ec+cqeSlCZT17Nv0B1bNn9oKRDqOpD+vSsjIOOPfcHESVGwePGsWyJ59M1qRaS+g3eGNuIguaGwbdwmtsIYyUvaa5ssUg39cq+lu0PS3JseOArsALaYwoSuWoaNvWBKgpSWfOpbYWFi0CzZxblA4491xKy8qSHiu2D6jS8p0G3KV1vJAcPGoUFX377vS7UVpWRkXfvhw8qsNMt5Vxnbt145R77+Xgiy6K1TQ1Er5sXg8cnesp/6X95fXq0NEEdIsITUItmoDOzHoAewHr3P3DuP2fBea7e13Ca5wEPEronX6su7/QwtjS6+PSzMy5VFaCZs4tOrFRRYnfJmMfUKfce2/RDAOeP3Uqb955JyT7P8uMgy++mCPGj89+YDmiYfIpdZRRr20W6+PSHrU2hSSvExcAMzuL0GGpFrifMEneF4mm/Ae+Gt8GaGYXEnph7zBDbvQLcghhlc7/RLsPY/tcMT9y95+kEVe6iUuTM+dSUgKaObco6QMqqN+4kVnnnsuGpUvxuL8FKy1l13335dT77y+q+yEpFcyHvBKX5PI+cQEws2MJ4+CPJjS1vAPMBH4ezS4YX/ZCkicuFwNfJixetQdh7P9HhH4nt7p7WotHqsZFpP0piZMW0Id8gSuIxKUjakXiMokUM+dSXg4TJ0J19U6HRERkB0pcCpwSlwxpReKy46iimPJy6N9fo4pERFpGiUuBy/dRRYXDvYbQ1HU9sJKSktA8NHGikhYREZGIalwyRDPniojkhGpcCpxqXERERCRvKHERERGRvKHERURERPKGEhcRERHJG0pcREREJG8ocRERkbxWU1PD5MmT6devH2bWYGZLzOxHFubHkgLTKdcBiIhI+pYvX855553Hs88+S2NjIyUlJRx33HHcd9999OnTJ9fhZU1NTQ0nnngimzZtYt26dRCGQ3cHzgW+aGYnepgnKydOnX5z4tQWdcB6YBnwT+Ah4IlZY8ZpMboWUo2LiOSNmpoaqqqqqKyspKSkhMrKSqqqqqipydnnUk4sX76c/ffff1vSAtDY2Mizzz7L/vvvz/Lly3McYfZcf/31vPXWWyxatIiPP/4YQuKyG7A/cABhKZWOoDp63EBYEPhj4OvAo8DcU6fffGDuQssvmoAuQzQBnbSXmpoapkyZwrRp01i9ejW9evVi7NixTJgwgYoimlG5pqaGo446ikWLFlFbW7ttf3l5Of3792fu3LlFcz9OPPHEHZKWeLGalzlz5uQgsuzr2bMnmzdvpq6uLtnhLcBmd98ty2FtE6txmTVm3E4T4506/eY9gVuAEYQamCGzxozTarrNUOKSIUpcpD3ow3q7qqoqbrjhhh3uQ0x5eTkTJ06kukgWIi0tLU2atMSUlJTQ0FAcLQ9mzU+U6+45m023qcQlOl4CPAWcANw8a8y4KxKOfxqoAp4BHgR+DQwB3gKumjVm3OOZir2jUlORSAc2ZcqUnZIWgNraWhYtWsSUKVNyFFn2TZs2LWnSAuF+3HbbbVmOKHeaSlpaclw6jlljxjUCP4mennfq9Ju3JTinTr/5C4TFd08H/hOVO47Q1LQv8NdTp988IrsR554SF5EOTB/W261atapNxwtJSUnT/3U3d7yQdO3atbkiG7MRRxs9B2wFegP9AE6dfnMXYDrQBTh/1phxvwM+DXw0a8y4i4EvED7Dp506/eZdchF0rhTPb7dIHlq9enWbjheS5j6gdtmleP7vPu6441ImJ7E+LsXi8ssvb6q5yIGfZzGcVpk1ZtwWIPbHXBltjwf2Ap6fNWbcg9G+CqA2OucF4HFgD0ItTNFQ4iLSgfXq1atNxwtJ586d6dKlS9JjXbp0SXmsEN13332UlZXtlLyUlJRQVlbGfffdl6PIsu+HP/whAwcOpFOnnWb32Aq8CVyb/ahaJZZ9xfo3HhJtm+pl/Y9oe1BGIuqglLiIdGBjx46lvLw86bHy8nIuvfTSLEeUOxs2bGDAgAE73Y/y8nIGDBjAhg0bchRZ9vXp04d33313h5qXWE3Lu+++W1TzuFRUVPCPf/yDq6++msrKSoBGYCXwU+CzuZzDpaVOnX5zObB79HRltO0WbT9q4tQPo21x9NCPKHER6cAmTJhA//79k35Y9+/fnwkTJuQosuzr27cvd9xxBxMnTtxhHpeJEycyffp0+vbtm+sQs6pPnz7MmTOHhoYG3J2GhgbmzJlTVElLTEVFBdXV1axYsQJ3L3X33u4+KR+SlshQwoSwH80aM25JtG9dtG3qB9oj2q7JUFwdkhIXkQ6soqKCuXPnJv2wLqah0AAXX3wxN910E5MmTWLFihU0NDSwYsUKJk2axM0338xFF12U6xBF0hYNh/5h9PTeuEPzou3xTZx+VLR9ub3j6siUuIh0cPHfJmMf1tXV1UWVtACMHz+epUuXMnLkSObPn099fT3z589n5MiRLF26lPHjx+c6RJG0nDr95t6Eoc0nAO+xY3+c/wPeAIaeOv3mryQ59yzgTOC1WWPGvZTxYDsQTUCXIZqATqT91dTUMHXqVGbOnMmyZcvo27cvF110EePHjy+6RE5Sytlkc8nErVUUmx2xBOhJ6Hw7lDDc+SXga7PGjHsn4dxPEzrndgN+T5jPBWA2cDawAThh1phx8zP4FjocJS4ZosRFRCQnOmriElNHSDiWsuMii0lnDTx1+s0HEyaeO4mQ8EDo//I34Iezxox7MwNhd2hKXDJEiYuISE50qMSlPZ06/eYlALPGjOuX20hyS31cREREJG8ocREREZG8ocRFRERE8ob6uGSI+riIiOREwfZxkUA1LiIiIpI3lLiIiIhI3lDiIiIiInlDiYuIiIjkDSUuIiIikjfyOnExs85mNs7M7jKzV8yszszczEa34ZrHmNmjZrbGzDaZ2WtmdoWZlbZn7CIiIpK+TrkOoI26ATdF//4IWA70be3FzOxLhHUjaoEHgDWE1TenAscCI9oQq4iIiLRRXte4AJuAM4C93b0PMLO1FzKz7sAdQANwgrtf7O4TgMHAi8BXzOzctocsIiIirZXXiYu717n7Y+7+YTtc7itAJXC/u8+Le41a4Jro6aXt8DoiIiLSSnmduLSzk6Lt40mOPUuo3TnGzMqyF5KIiIjEy/c+Lu1pYLR9K/GAu281s8XAIcD+wJvZDExERPLTvYcc4gDnv/GGxT/PoFHnv/HG3Rl+jZxS4rJdj2i7LsXx2P6eqS5gZmOAMdHTPdonLBERKSDVSfZdQfgMuhn4OOHYYOCVNMonli04OU9czGwJsG8ap/zW3S/IUDhNiS3clTJbdvfpwHQIiyxmIygREckf57/xxqTEffcecsiFhETkpvPfeGNJc9dIt3yhyXniAiwiDD9uqQ8yFEesRqVHiuPdE8qJZEdNDUyZAtOmwerV0KsXjB0LEyZARUWuoxMRyaqcJy7uPizXMUQWAkOAA4GX4w+YWSdgP2Ar8G72Q5OiVVMDRx0FixZBbZTfr1oFN9wADz0Ec+cqeRGRoqJRRdv9LdqeluTYcUBX4AV335K9kKToTZmyY9ISU1sb9k+Zkpu4RERypOgSFzPrYWYHmdleCYceBFYB55rZkLjy5cBPoqe3ZSlMkWDatJ2TlpjaWrhNv5IiUlxy3lTUVmb2A+Cg6OngaDvKzIZG/37O3WfEnfJl4C7gV8CFsZ3uvt7MLiEkME+b2f2EKf+/SBgq/SBhGQCR7Fm9um3HRUQKTN4nLoSmneMT9h0TPWJm0ALu/rCZHQ/8EDgHKAfeAb4L/NzdMz3+XmRHvXqFPi1NHRcRKSJ5n7i4+wlplr8buLuJ488T1j8Syb2xY0NH3GTNReXlcKlWoRCR4lJ0fVxE8sqECdC/f0hS4pWXh/0TJuQmLhGRHFHiItKRVVSEIc8TJ0JlJZSUhO3EiRoKLSJFKe+bikQKXkUFVFeHh4hIkVONi4iIiOQN00CZzDCzee4+pPmSKekHIyKSPmu+iOQz1biIiIhI3lDiIiIiInlDiYuIiIjkDSUuIiIikjeUuIiIiEjeUOIiIiIieUOJi4iIiOQNJS4iIiKSN5S4iIiISN5Q4iIiIiJ5Q4mLiIiI5A0lLiIiIpI3lLiIiIhI3lDiIiIiInlDiYuIiEh7M/M0HxcmnH9HtH8TZj2beJ1JCddpxGw9ZksxexSz72O2T8I5B0Zl38estJn3cWxU9tXW3or21inXAYiIiBSg6iT7rgB6ADcDHycce2Xbv8x2Bc4FHNgFuAC4tZnXewZ4Ovp3N2Av4FjgdKAas0m4/wwA97cwewY4Hvg88Ocmrjs62k5v5vWzRomLiIhIe3OftNO+UKvSA7gJ9yVNnH0+UAFMBS4DLqH5xOXpnV7TzICzCUnHdZixLXkJ+44nJCbJExez7sAIYBPwm2ZeP2vUVCQiItKxXAI0EhKXvwCHYfbZtK/i7rg/BHwl2lOF2V7Rvx8CVgNnYLZ3iiucT6i9+R3u69J+/QxR4iIiIvmtpgYmT4Z+/cCsAbMlmP0Is4pch5Y2syOAzwBP4b4MuDs6MqbV13SfAzwHlBNqYMB9C/BroBQYleLMWDPRHa1+7QxQ4iIiIvmrpgaGDYMFC+DhhwHKgLOAQ4Gn8jB5+Va0vSvaPgZ8BIyMmm5a6+loe2Tcvli/lYujZqXtzAYTEqg3cH+hDa/b7pS4iIhI/po6NdS03H8/DB4M7ltxfwUYCSwFxucyvLSYdQPOA9YBfwTC+4HfEppszm/D1d+PtpXb9ri/SaiJ2Q8YllD+kmjbYTrlxihxERGR/HXnnXDVVZBQYYC7A9cBF+UirFY6F+gO3I97bdz+WO1L65uLIHaDPGF/rBnoku0lbRfga0AtoTmpQ1HiIiIi+WvZMhg0KNXRBUDfLEbTVrHE5O4d9rovAF4GjsBsSCuvHeuAuzJh/++AtcBZmO0R7RtBGP30IO5rW/l6GaPERURE8lffvqF/S3KDgGVZjKb1zA5je/+TF3eaoC70N4HW17qcGG3/b4e9oWbnN0AX4BvR3g7bTASax0VERPLZxRfDtdfCAw/s2FwUOpteBczMVWhpiiUkTwOLUpQ5HzgPs+/iXtPiK5udRJiMbjOxvjM7mg78NzAas0eBocC/cf97i18ji1TjIiKSj+KHAJeWhu3kyWF/MRk/HpYuhZEjYf58MOscDSl+ANiXMBdKx7a9T0kD8DXcRyd9hLlXKggdeFtyXcPsbOD30Z4q3JfvVC40Rc0FDmZ7LUuHGgIdT4mLiEi+SRwCvGVL2L7+ethfTMlLRQU89RQceiicfTaEWoU/AK8Dw9KqmcidkUBP4FHcP2ii3Ixom6y56IRo3aJJmF2P2a8JNTcPEUYkfR/3KU1cO5awfA7YAvwqnTeQTRY6Xkt7M7N57t7aTlSwc89vEZFg8uSQtNx//47NI+6h5uHQQ+FHP8pdfLllzRfJEbMlhFqg/XaY8t/seeAY4Eu4N7VuEJgtBA4EPo37fMwmAVVxJRzYCKwB3iCsYfQb3N9PvFTCdbsCHxA65d6He1uGXmeUEpcMUeIiIhnTr1+oYRk8eOdj8+eHmofFi7McVIfRcRMXaRd53VRkZp3NbJyZ3WVmr5hZnZm5mY1u/uydrtUvOjfV4/5MvAcRkbQ1NQR40KBwvJjU1EBVFVRWglkjZiujJpN8mzVXWiDfRxV1A26K/v0RsJy2j9l/FXg4yf6U4+1ERLKqb1946SWYNQumTYPVq6FXLxg7Fk45JRwvFjU1cNRRsGgR1NZCqHHZA/g+cA5mR+dJPxdpoXxPXDYBZwCvuPuHtnNbX2u84smWIxcR6Si+/nU4/fTQKXfLlrBv1Sq4/nq46Sa4/PKchpdVU6bEJy3xyoEBwJXApGyHJZmT101F7l7n7o+5+4e5jkVEJGu2boUNG7YnLTFbtoT9W7fmJq5cmDYtWdISUw6MzWI0kgV5nbhkyN5m9i0zuzraHpbrgEREdjBjRhhBlIx7WL+nWKxe3VyJXtkIQ7In35uKMuHk6LGNmT0NfNPd32vqRDMbw/bx9Xs0VVZEpNWa+7Bu/sO8cPTqFZrJUiuim1EcVOOy3SZgMmE9iN2ix/HAHOAE4CkLS46n5O7T3X1INAy6yb8kEZFW69VMJUJzxwvJ2LFQXp7qaC0wLYvRSBbkPHExsyXNDENOfPwmE3G4+wp3/3/u/k93/zh6PAucQliUagCQ9jBrEZF219SHdXk5XHppduPJpQkToH//ZPejFngHuDH7QUkm5TxxIUxJvDCNR1PTIbc7d9/K9mmWj8vma4tIAq3PE6T6sC4vD/snTMhNXLlQUQFz58LEiWEeF2gEVgLXAxoKXYBynri4+zB3PyiNx8QchLky2jbZVCQiGaT1ebZL/LAuKQnbiRPD/ooim3etogKqq2HFCnAvxb037pOUtBSmnCcueeKoaPtuTqMQKWZTp8InPgEDB8LJJ0OXLmF70EGwzz7heDGJ/7BuaAjb6uriS1qk6BTUWkVxE9Bd4u4zUpTpAewFrIuf/8XMPgvMd/e6hPInAY8CZcCx7v5CC2PRWkUi7WnffaFTJ/jggx3n7Sgvh733Dh/eS5bkLDzpMLRWUYHL++HQZvYD4KDo6eBoO8rMhkb/fi4hifkycBdhye4L4/ZfDxwSDX3+T7TvMOCk6N8/amnSIiIZsGxZqGVJnHStthbefx/q6pKfJyIFJe8TF+A0wrDleMdEj5iktS8Jfk1Iav4LOB3oTFj/6HfAre7+97aHKiKtZrZz0hKzZUvo5yEiBa+gmoo6EjUVibQza6YFwAwaG7MTi3RkHaKpaPjohfcC5wFjZ88YeFszZZ8EhhO+PPcktAoAPDt7xsDEL+axc/oR+l0awOwZAy3an+5nx6jZMwbeneY5OVUINS4iUgx69Wp6RthimnRN8sF0QuJyCZAycYkSkGHAh8BfgAuiQ1uB44aPXjhw9oyBC5OcOpqQtGxlx8/y6iRlrwB6ADcDHycce6XJd9EBKXERkfxw2WVh9eNkzUVlZWFSNpEOYvaMgU8PH73wLeCI4aMXfnr2jIH/TFH0YkICctfsGQO3Dh+9LUf5C3AWIUHZYWKe4aMXlgKjgH8AewP7xL3upMQXGD564YWExOWm2TMGLmn1m+og1CgsIvlhwgQYMCD5pGsDBhTXpGuSL+6ItpckOxiXgDg798V8A3gR+Obw0Qs7Jxz7PCFhuYMipMRFRPKDJl2T/PMroA44f/johV2THD+dUFsye/aMgYuTHL8DqAS+lLD/EqAGuL8dY80bSlxEJH9o0jXJI7NnDFwJPAx0B76apEisJmZ6iks8AKyPK8fw0Qv3ISQ898+eMXBDuwWbR5S4iIiIZE4sKdlhkd7hoxfuBZxBmHbjT8lOnD1j4CbgXuDkqBMvwEVAKUXaTARKXERERDLpb4TFhI8dPnrhwXH7RxEGyNw9e8bA+ibOv4PQeffi4aMXlhA68742e8bAlzIVcEenxEVERCRDZs8YGN/xdjTA8NELjVBzkqxTbuL5/wT+SUh0Tgf2pYhrW0CJi4iISKbdBdQD3xg+emEXwlIy/YE5s2cMfKcF508ndOL9JbAZ+E2mAs0HSlxEREQyaPaMgR8Bfwb2YPvcLJC6U26ie4GNwCeA38+eMfDjdg4xryhxERERybxY8873CFP7rwL+2JITo9FDp0XnXZOR6PKIZs4VERHJvCeAxcCR0fNbZ88Y2OIlzWfPGPhcRqLKQ6pxERERybCok+6dcbuKuoNtW2h16AzR6tAiIjnRIVaHlsxRjYuIiIjkDSUuIiIikjeUuIiIiEjeUOIiIiIieUOJi4iIiOQNzeOSOavaeL56xouIiCTQcGgRERHJG2oqEhERkbyhxEVERETyhhIXERERyRtKXERERCRvKHERERGRvKHERURERPKGEhcRERHJG5qATkREJIOs2hInTKsD1gPLgH8CDwFPeJU3pDrXqzzlpKRWbT8EfhI9PcirfGEL44jF8iHwDPAzr/I3m343uafERUREJDuqo20p0BM4BPg6cDEwz6rta17lb6VzQas2i853wozrlwBXtjAOgB7AkcA3gHOs2oZ6lb+STgzZpsRFREQkC7zKJyXus2rbE7gFGAHMtmob4lW+Io3LngLsB9wNnA5806rtaq/yujTjuAX4DnAFcGEar5916uMiIiKSI17lHwHnAk8DfYGr07zEJdH2DuC3wB7Al1sRyhPRtrIV52aVEhcREZEc8ipvZHsflfOi5p9mRbU1XwTe8ip/AbgrOjSmFWEMj7bzWnFuVqmpSEREJPeeA7YCvYF+wOIWnDMK6ExoJsKrfIFV2z+BE63aBniVv5PsJKu2SXFPuwP/BRwL/AW4sXXhZ48SFxERkRzzKt9i1bYa2JPQXNNk4hLVyowGGoF74g7dDXw6OvaDFKdXJdn3L+A+r/IN6UWefWoqEhER6RhiTUTJhi0nOgnoDzzpVf5+3P57CUOcL7Rq65zsRK9yiz2ACuCzwEfAb63aftrq6LNEiYuIiEiOWbWVA7tHT1e24JRYP5a743d6la8GHiHU3HypuYt4lW/0Kn8JOBvYCEy0auvbTKw5ba1RU1EHZWYLgNpcx9FB7AGsynUQHYTuxXa6F9vpXmxX7u6Dch1EKwwlfCZ/5FW+pKmCVm2VwFnR0/us2u5LUXQM8GBLXtyr/GOrtoWEZqZPEybHw6rtE9G/z4uudwwwFphp1bYPcB3wecLcNE8BY6ORUrHmrAmEeWY+CWwA/u5Vfk5LYkpFiUvHVevuQ3IdREdgZvN0LwLdi+10L7bTvdjOzDr8qJhEVm0lwA+jp/e24JRvAl2Al4FXUpT5IjDcqm0/r/KWdPQF2C3axrfGDI62349iXAh8bNW2HzAXmElIusqAm4Ffsn049gRCB+KxwDvAXnHXazUlLiIiIjli1dYbuBU4AXgPuLYFp42OtmOjZp5k150MXBOV/WGyMgnlzyJMZFcPvBB36HBC7f+I+FFKVm33And6lV8dt28y8Ie4c08DHvUqfyp6vpSQ7LSJEhcREZEsiBuGXML2Kf+HEmpPXgK+5lXeZJOfVdsJwEDg9VRJS+ROQsIyyqqtyqt8a5I4ALoBnyLMugtwdaypJzKYkHzEJy2fJMzY+zmrtsvjypYCm+Ke/xn4H6u2w4HfAw819/5aQolLxzU91wF0ILoX2+lebKd7sZ3uxXYd+V7EhiHXEfp7LCUMZY4tstjYgmvEZsqd0VQhr/IlVm2zgZOBM4E/JokDoIHQGfgR4Fav8icTLnU4oUYo3mDCIpGfSfLS25Ya8Cq/yartL4T+OGOBG6zajmrrQo7m3pJRVyIiIlJMrNq6ERKU473Kn4vbfzoh0enpVV7Twmt1BlYDl3iVP9CWuFTjIiIiIskcFm1fSdg/F1gL/Nqq7ceE5GZ/Qs3Kf3uVN1q1fZ8wN8xLhBmBv0mojXm6rUFpHhcRERFJ5nDg7cRaFa/ytYQ+MT2AOYTE5kbgP3HNXWWEkUjzCJ19DweGJfSfaRU1FeWAmX0eGEfoENUL+JAwrO1/3f3FJOWPIfQOPwooJwwrmwnc4u4N2Yo7G8zs62yfvvoSd9+pHbfQ7oeZ9SIMH/w8cCiwD+GbyeuERdPuct+57bvQ7kOMmX0FOJ7Qjn44sCvwW3e/oIlzCvJepGJmS4B9Uxz+yN37ZDGcjGjt30WKay2hwO9XMVFTUZaZ2fXAREJb38OESaMGEGY4PMfMvuHuv4kr/yVCx61a4AFgDaGj1VTColgjshl/JplZX+AWoIYwDXWyMoV4P0YAtxES2DmEIZF7EmaynAGcbmYjPO5bRoHeh5hrCAlLDfAf4KCmChf4vWjKOuCmJPtb1OcgD6T9d9GMQr9fxcPd9cjSA+hD6MG9HOidcOxEwvoU78bt6w6sALYAQ+L2lxOq3hw4N9fvq53ujQGzgUXAlOi9jU4oU5D3g7DmyJlASZLfl/ei93VOod+HuPdxInBA9DtxQvR+fpOibEHfiybu0RJgSa7jyPB7TOvvotjvVzE91Mclu/Yl9Cv6P3dfEX/A3ecQhsdVxu3+SvT8fnefF1e2lvCtFODSjEacPZcT/qMaRVgvI5mCvB/u/jd3f8QTqr3dfTlhFkoIH+AxBXkfYtx9jru/7e4t+SZd0PeimLXi70KKhJqKsuttQhvtkWa2h/v2iXjM7DhCW/7DceVPiraPJ7nWs4SJfo4xszJ335KZkDPPzA4Gfgbc7O7PmtlJKYoWxf1IUB9tt8btK8b7kEox34syM7uAsAbMRuA14FkvwD49SST7u2hOMd+vgqLEJYvcfY2ZfR/4X+BfZvYwoa9Lf8K6Ek8C34o7ZWC0fSvJtbaa2WLCzIv7A22a0CdXzKwT8GtC1e/VzRQv+PsRL7o334iexn8wF9V9aEYx34s+hL+deIvNbJS7P5OLgLKhib+L5hTl/SpEairKMne/idC5rBNhBsQfEDqhLQPuTmhC6hFt16W4XGx/z3YPNHv+H3AEcKG7b26mbDHcj3g/AwYBj7r7rLj9xXYfmlKs9+IuYBjhw7gbYdTN7UA/4DEzOzx3oWVcqr+LphTz/So4SlyyzMwmEpYZv5tQ09KNMG3yu8BvzeyGdC4XbfNyTLuZHUmoZfkfTzIMvDWXjLZ5eT/imdnlwPeAfwNfT/f0aJv396EdFOS9cPfqqA/IR+6+yd0XuPu3CbW5uwCTchthZrT276JY71ehUuKSRWZ2AnA98Gd3/667vxv9Ef2TMF/B+8D3zGz/6JTYt8UeO10s6J5QLm/ENRG9BfyohacV7P2IZ2aXEZaH/xdworuvSShSFPehhXQvdhTrtHpcTqPIgBb8XbRGwd6vQqbEJbu+EG3nJB5w902EqZFLCE0nAAuj7YGJ5aMP/v0IndPebfdIM6+C8L4OBmrNzGMPti8Adke076boeSHfDwDM7ArCgmYLCP85L09SrODvQxp0L3YUa2rultMo2lkL/y5aoyDvV6FT4pJdZdG2MsXx2P7Y6pp/i7anJSl7HNAVeCFPR0tsISy7nuwxPyrzXPQ81oxUyPeDqOP2VML02ScmDpmPU9D3IU26Fzs6OtoWTKKWxt9FaxTc/SoKuZ5IppgewFcJbe3LgX0Sjp0ONAKbgV7Rvu6E5caLbXKtSaSegK4g7wehucwJ63rs3kzZgr0PSd7rCTQ/AV1R3Iu493ZIst8RwjxRb0fv+epcx9lO7zWdv4vOhFmW+xfr/SqWh9YqyiIzKwFmAcMJk839kZDEHExoRjLgCne/Oe6cswideWuB+wnTmX+RMAz0QeCrXmA/RDObRGgu2mmtokK8H2b2TUJn7QbCkgfJ+mMscfe74845iwK7DzHRezsretoHOJXwjfjv0b5V7n5lQvmCvBfJRH8fPyA0OS8m/F/Sn7CmTznwKPBld69LdY18kO7fhZn1I9yPpe7eL+46kyiC+1VUcp05FduD8K3gCsKy4OsJ7e8rgL8Ap6Q451jCH9daQo3M68B4oDTX7ydD92gSSWpcCvV+xL3fph5PF/p9SON+LCmWe5Hi/hwP3EcYWfMxYTK2lYR5oL5BtHhuvj/S/bsgDG3e6fejWO5XMT1U4yIiIiJ5Q51zRUREJG8ocREREZG8ocRFRERE8oYSFxEREckbSlxEREQkbyhxERERkbyhxEVERETyhhIXERERyRtKXETymJn1i1bQvjsLr+Vm9nSmX6c1zOweM1thZt3i9p0QxTwpB/HsY2abzWxytl9bpNApcZGiF324xT8azGyNmT1tZheameU6xmwwsyVmtiTXcaTLzIYAFwA/c/eNuY4HwN3fB34JfM/M+uY6HpFC0inXAYh0INXRtjMwAPgyYZ2TIcB3chVUB3IwsCnXQSRxLWHdr9tyHUiCKcB/E1Y4HpPjWEQKhhIXkYi7T4p/bmbHAs8CY83sf9x9cU4C6yDc/d+5jiGRmR1IWG19hrtvznU88dz9AzN7EviamU1w92SrG4tImtRUJJKCuz9PWFHWgM8kHjezz5rZg2a23MzqzGyZmd1uZnsnKbu/mU03s3eivg9rzOx1M/ulmfVKKFtmZj8ws9fMbJOZrTezv5vZV1sae9TMlXQF1aj5y83swuj5CVHZfYF9E5rN7o47L2kfFzPrYWbXmdlCM6s1s7VmNsvMhicpu63fiZkNNrO/mtnH0ft8xsyOael7jFxE+Pk80NITzKw8+rm5mf3CzEqi/XdH+/Yzs++Y2b+i97PEzK6ONRma2Qgze8nMNkb9am41s/IUL3c/0BU4N833JSIpqMZFpGmx/i31O+w0GwXcAWwB/gwsAw4ARgNnmtlR7v5eVHYv4B9Ad+BR4CGgHNgP+DpwK7A6KtsFmEVoovo38AvCB99XgAfMbLC7X93O73EJoZnsiuj5TXHHXmnqRDPrCTwPfIrwHm8C9gC+CjxhZpe6++1JTh0CTAReBGYAnwTOAZ6K3uPCFsY+HGgA5raksJntRvh5HQtc5e4/S1LsRuAE4BHgCeCLwE+BLma2BvgZ8DDwd+Bk4DKgFLg0ybWej7YnA8nug4iky9310KOoH4CHP4Wd9h9H+FDcAuwVt/9AoA54B9gn4ZyTonP+GLfvv6PXGJfkNboBu8Q9vyoq+yjQKW5/b0KC4cAxcfv7RfvuTrju08neU3TswuicCxP2LwGWNHOfnk7Yd3u0/3bA4vYfAKyL7l2/uP0nxO53ktf/VrR/Wgt/bt2ArcDrKY7HXmtS9Hxf4F/Rz+6CJOXvjsovif+5Aj2BVcBGYCVwcNyxsuiaW4DeKeJYC6zI9e+5HnoUykNNRSKRqPlikpn91MweAGYTalyudPcP44peSujAO87D6JFt3P1vhG/0Z5rZrgkvsVMfDHff6Dv2zbiI8OH5XXffGlduBRAbWju6de+wfZlZZ8JonhpC7cW2pil3fxv4OdAF+EaS059397sT9s0kJCJHtjCEfQg1HR82V9DMBhNqd/YBTnf33zRRfHL8z9XdPyb8TLsCt7n7m3HHthCaqboQOi8nsxyobKI5SUTSoKYike2qEp47cLG735Ww/+hoe7yZ/VeS6/QmfKAeCLxM+NC7FviFmZ1KaAp6HvhX/Id9lOgMAN735B1h/xZtj2j5W8qogwgf5s+7+5okx/8GXEPyeOcl7nD3ejP7CNitha8f6xu0tplyQ4HvAhuA49z91WbK7xQb8EG0fTnJsViS84kU14vdmz2A/zTz2iLSDCUuIhF3j3W+7EZITu4EfmlmS6OalJjYB+aEZi5ZEV13qZkdCUwCTgPOjo4vM7Mb3f3n0fMe0TZVDUJsf8/m301WtCXej1Ocs5WQ9LVErKaquZqMI4BdgRcI/Yaak2z0z9YWHOuc4nq7RNsONepJJF+pqUgkQdR8Mxs4k/Ah+isz6xpXJPbh1cPdrYnHM3HXfNPdRxKSniHADwh/fzeb2cUJ1+2TIrS9Eso1pRHAzJJ9OenZgvNboj3jbY0V0bZXk6VC5+fbgFOBP5vZLs2Ub2+9CMlNslopEUmTEheRFNz9NcLIoU8A4+MOxUawfK4V19zq7i+7+/XAedHus6JjG4BFwD5mdkCS00+Mtv9swUvFmk+Szdo6JMU5DbS8tgNgIWFCusHRaJ1E6cTbGh8SOssObKacu/tYwoinU4C/WtzSAJkUvc4+wGvxzYIi0npKXESa9hOgFrgy7sP5VsLw6KnRBGg7MLMuZva5uOdHmtmeSa4d2xc/G+1MQofgKWa2LYkwsz0IM7DGyjTnpWh7SUJsw9ieMCVaTehE2qIaCXevA35LaBL7ccLr9AcuJ9ynX7fkeumKEoFngT3MbEALyo8HriMkVLPMrHsm4kpwJCEZnJOF1xIpCurjItIEd3/fzG4HxhHmHbnK3f9tZhcREog3zOxx4C1CH4dPEmpiVhI6rwKcD1xmZs8QhlCvBfoTmqK2sOO8KTcCpwNfAl41s0cJHWBHEDr93uDuz7Ug9LsIfXCuMrPDCUN2D4yu/UfCnCmJngL+C3jczJ6NYnvV3R9p4nV+EL3f70QdleewfR6XXYHveGZnHH6I8F5OJdzbJrn71WZWS5i35kkzO83dm+vc2xanRNuHMvgaIkVFNS4izbuOUCtyeazmJBpO+xlCjcNhhLWMLiCMCnoQGBt3/n2ESdYqCR/oVwCfJsyqOsTdX4wVjGoxTgZ+GO36b+CbwNvA+e7+/ZYEHA2fPh54jDAfzaWEzrQnA39JcdpPCAsD9ifMJzOZ5AlO/OusIXRkvoHQl+O7hCTrJeA0d5/Wknjb4CHgI5IPuU7K3X9MSEKPJEx4t0cmAotm5L2AkPy92Fx5EWkZU7OriOQzM7uKMNz80+4+P9fxxJjZmYSh8F9vZt4YEUmDEhcRyWvRxG4LCR1gz8x1PADRukYvEzo8H6mOuSLtR01FIpLX3L2WsObTvGyNFmqBPoTalkuUtIi0L9W4iIiISN5QjYuIiIjkDSUuIiIikjeUuIiIiEjeUOIiIiIieUOJi4iIiOQNJS4iIiKSN/4/mo81q6LojmgAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<Figure size 432x460.8 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from pylab import figure, show, legend, ylabel\n",
+ "\n",
+ "fig=plt.figure(figsize=(6,6.4))\n",
+ "plt.rcParams.update({'font.size': 20})\n",
+ "\n",
+ "x1=['80','40','20','10','5','2.5'] \n",
+ "\n",
+ "ax1 = fig.add_subplot(111)\n",
+ "\n",
+ "ax1.plot(x1,dP_dt[:6], linewidth=0, marker='o', markersize=8, color='black', clip_on=False)\n",
+ "ax1.plot(x1[3:6],dP_dt[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='black', clip_on=False)\n",
+ "\n",
+ "ax1.plot(x1,dfi_dt[:6], linewidth=0, marker='o', markersize=8, color='#469990', clip_on=False)\n",
+ "ax1.plot(x1[3:6],dfi_dt[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#469990', clip_on=False)\n",
+ "\n",
+ "ax1.plot(x1,ITT[:6], linewidth=0, marker='o', markersize=8, color='brown', clip_on=False)\n",
+ "ax1.plot(x1[3:6],ITT[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='brown', clip_on=False)\n",
+ "\n",
+ "ax1.plot(x1,TADV[:6], linewidth=0, marker='o', markersize=8, color='red', clip_on=False)\n",
+ "ax1.plot(x1[3:6],TADV[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='red', clip_on=False)\n",
+ "\n",
+ "ax1.plot(x1,VMT[:6], linewidth=0, marker='o', markersize=8, color='#4363d8', clip_on=False)\n",
+ "ax1.plot(x1[3:6],VMT[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#4363d8', clip_on=False)\n",
+ "\n",
+ "ax1.plot(x1,DIAB_res[:6], linewidth=0, marker='o', markersize=8, color='green', clip_on=False)\n",
+ "ax1.plot(x1[3:6],DIAB_res[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='green', clip_on=False)\n",
+ "\n",
+ "\n",
+ "ax1.spines['top'].set_visible(False)\n",
+ "ax1.spines['right'].set_visible(False)\n",
+ "ax1.xaxis.set_ticks_position('bottom')\n",
+ "ax1.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax1.yaxis.set_ticks_position('left')\n",
+ "ax1.spines['left'].set_position(('axes', -0.05))\n",
+ "ax1.tick_params(axis='x', direction='out')\n",
+ "ax1.tick_params(axis='y', direction='out')\n",
+ "plt.xlim('80', '2.5')\n",
+ "ax1.set_xlabel(\"Resolution (km)\")\n",
+ "ax1.set_ylabel(\"hPa / hour\")\n",
+ "\n",
+ "##########################################for plotting legend###################################\n",
+ "\n",
+ "ax1.plot(x1,dP_dt[:6], label='Dp', linewidth=0, marker='o', markersize=0, color='black', clip_on=False)\n",
+ "ax1.plot(x1,dfi_dt[:6], label='Dφ', linewidth=0, marker='o', markersize=0, color='#469990', clip_on=False)\n",
+ "ax1.plot(x1,ITT[:6], label='ITT', linewidth=0, marker='o', markersize=0, color='brown', clip_on=False)\n",
+ "ax1.plot(x1,TADV[:6], label='TADV', linewidth=0, marker='o', markersize=0, color='red', clip_on=False)\n",
+ "ax1.plot(x1,VMT[:6], label='VMT', linewidth=0, marker='o', markersize=0, color='#4363d8', clip_on=False)\n",
+ "ax1.plot(x1,DIAB_res[:6], label='DIAB$_{res}$', linewidth=0, marker='o', markersize=0, color='green', clip_on=False)\n",
+ "\n",
+ "\n",
+ "leg = plt.legend(loc='best', bbox_to_anchor=(1, 0.45), handlelength=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ "\n",
+ "plt.axhline(y=0, color='dimgray', linestyle='-.')\n",
+ "plt.ylim(-1.8,1.8)\n",
+ "\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/Figure_2.ipynb b/scripts/plotting_scripts/Figure_2.ipynb
new file mode 100755
index 0000000..a68cbcd
--- /dev/null
+++ b/scripts/plotting_scripts/Figure_2.ipynb
@@ -0,0 +1,161 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 80,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load packages\n",
+ "import sys\n",
+ "sys.path.append('/pf/b/b380723/anaconda3/lib/python3.6/site-packages')\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
+ "from lagranto import Tra\n",
+ "from lagranto.plotting import plot_trajs\n",
+ "import matplotlib\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.ticker as mticker\n",
+ "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
+ "import xarray as xr\n",
+ "import numpy as np"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 81,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#loading datasets\n",
+ "\n",
+ "path = '/work/bb1018/b380723'\n",
+ "moments=(['1m','2m'])\n",
+ "resolutions=['0.8','0.4','0.2','0.1convon','0.05convon','0.025convon','0.1convoff','0.05convoff','0.025convoff']\n",
+ "\n",
+ "#all trajectories\n",
+ "alltrajectory=[]\n",
+ "for moment in moments[:-1]:\n",
+ " for resolution in resolutions:\n",
+ " alltrajectory.append(xr.open_dataset(path+'/'+resolution+'/'+moment+'/'+'outtrace1.nc'))\n",
+ "\n",
+ "#subclasses\n",
+ "subclass1=[]\n",
+ "subclass2=[]\n",
+ "subclass3=[]\n",
+ "subclass4=[]\n",
+ "for moment in moments[:-1]:\n",
+ " for i in range(0,9):\n",
+ " subclass1.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box1.nc'))\n",
+ " subclass2.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box2.nc'))\n",
+ " subclass3.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box3.nc'))\n",
+ " subclass4.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box4.nc'))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 82,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 792x504 with 10 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "## plot equivalent potential temperature and isentropic potential vorticity at 24h interval\n",
+ "\n",
+ "#setting map\n",
+ "proj = ccrs.PlateCarree()\n",
+ "fig, ax = plt.subplots(3, 3, figsize=(11,7), subplot_kw=dict(projection=proj))\n",
+ "ax = ax.reshape(-1)\n",
+ "for i in range(ax.shape[0]):\n",
+ " ax[i].coastlines(rasterized=True)\n",
+ " ax[i].set_aspect('auto')\n",
+ " ax[i].tick_params(labelsize=13)\n",
+ " ax[i].set_extent([-50, 30, 30, 80], ccrs.PlateCarree())\n",
+ " \n",
+ " # set xticks and yticks for latitudes and longitudes\n",
+ " # xaxis: longitudes\n",
+ " if i in [6,7,8]:\n",
+ " ax[i].set_xticks([-40,-20,0,20], crs=ccrs.PlateCarree())\n",
+ " lon_formatter = LongitudeFormatter(#zero_direction_label=True,\n",
+ " degree_symbol='',\n",
+ " dateline_direction_label=True)\n",
+ " ax[i].xaxis.set_major_formatter(lon_formatter)\n",
+ " del lon_formatter\n",
+ " # yaxis: latitudes\n",
+ " if i in [0, 3, 6]:\n",
+ " ax[i].set_yticks([40,60,80], crs=ccrs.PlateCarree())\n",
+ " lat_formatter = LatitudeFormatter(degree_symbol='')\n",
+ " ax[i].yaxis.set_major_formatter(lat_formatter)\n",
+ " del lat_formatter\n",
+ "\n",
+ "#plotting\n",
+ "trajs=[]\n",
+ "for i in range(0,9):\n",
+ " trajs.append('trajs'+str(i))\n",
+ "\n",
+ "for moment in moments[:-1]:\n",
+ " for i in range(0,9):\n",
+ " trajs[i]=Tra()\n",
+ " trajs[i].load_netcdf(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1.nc')\n",
+ " lc=plot_trajs(ax[i], trajs[i], 'P', levels=np.arange(200, 1000, 100), rasterized=False)\n",
+ " \n",
+ "#plotting mean value over all trajectories and subclasses\n",
+ "for i in range(0,9):\n",
+ " ax[i].plot(alltrajectory[i]['lon'].mean(axis=1),alltrajectory[i]['lat'].mean(axis=1),linewidth=3,color='black')\n",
+ " ax[i].plot(subclass1[i]['lon'].mean(axis=1),subclass1[i]['lat'].mean(axis=1),linewidth=3,color='blue')\n",
+ " ax[i].plot(subclass2[i]['lon'].mean(axis=1),subclass2[i]['lat'].mean(axis=1),linewidth=3,color='springgreen')\n",
+ " ax[i].plot(subclass3[i]['lon'].mean(axis=1),subclass3[i]['lat'].mean(axis=1),linewidth=3,color='yellow')\n",
+ "#separate loop because 80km does not have subclass-4\n",
+ "for i in range(1,9):\n",
+ " ax[i].plot(subclass4[i]['lon'].mean(axis=1),subclass4[i]['lat'].mean(axis=1),linewidth=3,color='fuchsia')\n",
+ "\n",
+ "#title\n",
+ "for i in range(0,9):\n",
+ " title = ['(a) 80km ','(b) 40km ','(c) 20km ','(d) 10km ','(e) 5km ','(f) 2.5km ','(g) 10km EC ','(h) 5km EC ', '(i) 2.5km EC ']\n",
+ " ax[i].set_title(title[i] + '('+str(len(alltrajectory[i].ntra))+')', loc='left')\n",
+ "\n",
+ "#colorbar\n",
+ "cbar_ax = fig.add_axes([0.85, 0.2, 0.02, 0.65])\n",
+ "clb=fig.colorbar(lc, cax=cbar_ax, orientation='vertical',fraction=0.046, pad=0.04, ticks= [200,300,400,500,600,700,800,900,1000])\n",
+ "clb.set_label('(hPa)')\n",
+ "fig.subplots_adjust(right=0.8, wspace=0.1, hspace=0.3)\n",
+ "\n",
+ "plt.show(fig)\n",
+ "plt.close(fig)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/Figure_3.ipynb b/scripts/plotting_scripts/Figure_3.ipynb
new file mode 100755
index 0000000..b2da10a
--- /dev/null
+++ b/scripts/plotting_scripts/Figure_3.ipynb
@@ -0,0 +1,162 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load packages\n",
+ "import sys\n",
+ "sys.path.append('/pf/b/b380723/anaconda3/lib/python3.6/site-packages')\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
+ "from lagranto import Tra\n",
+ "from lagranto.plotting import plot_trajs\n",
+ "import matplotlib\n",
+ "#matplotlib.use('Agg')\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.ticker as mticker\n",
+ "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
+ "import xarray as xr\n",
+ "import numpy as np"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#loading datasets\n",
+ "\n",
+ "path = '/work/bb1018/b380723'\n",
+ "moments=(['1m','2m'])\n",
+ "resolutions=['0.8','0.4','0.2','0.1convon','0.05convon','0.025convon','0.1convoff','0.05convoff','0.025convoff']\n",
+ "\n",
+ "#all trajectories\n",
+ "alltrajectory=[]\n",
+ "for moment in moments[1:]:\n",
+ " for resolution in resolutions:\n",
+ " alltrajectory.append(xr.open_dataset(path+'/'+resolution+'/'+moment+'/'+'outtrace1.nc'))\n",
+ "\n",
+ "#subclasses\n",
+ "subclass1=[]\n",
+ "subclass2=[]\n",
+ "subclass3=[]\n",
+ "subclass4=[]\n",
+ "for moment in moments[:-1]:\n",
+ " for i in range(0,9):\n",
+ " subclass1.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box1.nc'))\n",
+ " subclass2.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box2.nc'))\n",
+ " subclass3.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box3.nc'))\n",
+ " subclass4.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box4.nc'))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 792x504 with 10 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "## plot equivalent potential temperature and isentropic potential vorticity at 24h interval\n",
+ "\n",
+ "#setting map\n",
+ "proj = ccrs.PlateCarree()\n",
+ "fig, ax = plt.subplots(3, 3, figsize=(11,7), subplot_kw=dict(projection=proj))\n",
+ "ax = ax.reshape(-1)\n",
+ "for i in range(ax.shape[0]):\n",
+ " ax[i].coastlines(rasterized=True)\n",
+ " ax[i].set_aspect('auto')\n",
+ " ax[i].tick_params(labelsize=13)\n",
+ " ax[i].set_extent([-50, 30, 30, 80], ccrs.PlateCarree())\n",
+ " \n",
+ " # set xticks and yticks for latitudes and longitudes\n",
+ " # xaxis: longitudes\n",
+ " if i in [6,7,8]:\n",
+ " ax[i].set_xticks([-40,-20,0,20], crs=ccrs.PlateCarree())\n",
+ " lon_formatter = LongitudeFormatter(#zero_direction_label=True,\n",
+ " degree_symbol='',\n",
+ " dateline_direction_label=True)\n",
+ " ax[i].xaxis.set_major_formatter(lon_formatter)\n",
+ " del lon_formatter\n",
+ " # yaxis: latitudes\n",
+ " if i in [0, 3, 6]:\n",
+ " ax[i].set_yticks([40,60,80], crs=ccrs.PlateCarree())\n",
+ " lat_formatter = LatitudeFormatter(degree_symbol='')\n",
+ " ax[i].yaxis.set_major_formatter(lat_formatter)\n",
+ " del lat_formatter\n",
+ "\n",
+ "#plotting\n",
+ "trajs=[]\n",
+ "for i in range(0,9):\n",
+ " trajs.append('trajs'+str(i))\n",
+ "\n",
+ "for moment in moments[:-1]:\n",
+ " for i in range(0,9):\n",
+ " trajs[i]=Tra()\n",
+ " trajs[i].load_netcdf(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1.nc')\n",
+ " lc=plot_trajs(ax[i], trajs[i], 'P', levels=np.arange(200, 1000, 100), rasterized=False)\n",
+ " \n",
+ "#plotting mean value over all trajectories and subclasses\n",
+ "for i in range(0,9):\n",
+ " ax[i].plot(alltrajectory[i]['lon'].mean(axis=1),alltrajectory[i]['lat'].mean(axis=1),linewidth=3,color='black')\n",
+ " ax[i].plot(subclass1[i]['lon'].mean(axis=1),subclass1[i]['lat'].mean(axis=1),linewidth=3,color='blue')\n",
+ " ax[i].plot(subclass2[i]['lon'].mean(axis=1),subclass2[i]['lat'].mean(axis=1),linewidth=3,color='springgreen')\n",
+ " ax[i].plot(subclass3[i]['lon'].mean(axis=1),subclass3[i]['lat'].mean(axis=1),linewidth=3,color='yellow')\n",
+ "#separate loop because 80km does not have subclass-4\n",
+ "for i in range(1,9):\n",
+ " ax[i].plot(subclass4[i]['lon'].mean(axis=1),subclass4[i]['lat'].mean(axis=1),linewidth=3,color='fuchsia')\n",
+ "\n",
+ "#title\n",
+ "for i in range(0,9):\n",
+ " title = ['(a) 80km ','(b) 40km ','(c) 20km ','(d) 10km ','(e) 5km ','(f) 2.5km ','(g) 10km EC ','(h) 5km EC ', '(i) 2.5km EC ']\n",
+ " ax[i].set_title(title[i] + '('+str(len(alltrajectory[i].ntra))+')', loc='left')\n",
+ "\n",
+ "#colorbar\n",
+ "cbar_ax = fig.add_axes([0.85, 0.2, 0.02, 0.65])\n",
+ "clb=fig.colorbar(lc, cax=cbar_ax, orientation='vertical',fraction=0.046, pad=0.04, ticks= [200,300,400,500,600,700,800,900,1000])\n",
+ "clb.set_label('(hPa)')\n",
+ "fig.subplots_adjust(right=0.8, wspace=0.1, hspace=0.3)\n",
+ "\n",
+ "plt.show(fig)\n",
+ "plt.close(fig)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/Figure_4.ipynb b/scripts/plotting_scripts/Figure_4.ipynb
new file mode 100755
index 0000000..56f6fa6
--- /dev/null
+++ b/scripts/plotting_scripts/Figure_4.ipynb
@@ -0,0 +1,202 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load packages\n",
+ "import sys\n",
+ "sys.path.append('/pf/b/b380723/anaconda3/lib/python3.6/site-packages')\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature\n",
+ "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
+ "from lagranto import Tra\n",
+ "from lagranto.plotting import plot_trajs\n",
+ "import matplotlib\n",
+ "#matplotlib.use('Agg')\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.ticker as mticker\n",
+ "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
+ "import xarray as xr\n",
+ "import numpy as np"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#loading datasets\n",
+ "\n",
+ "path = '/work/bb1018/b380723'\n",
+ "moments=(['1m','2m'])\n",
+ "resolutions=['0.8','0.4','0.2','0.1convon','0.05convon','0.025convon','0.1convoff','0.05convoff','0.025convoff']\n",
+ "\n",
+ "#all trajectories\n",
+ "alltrajectory=[]\n",
+ "for moment in moments[1:]:\n",
+ " for resolution in resolutions:\n",
+ " alltrajectory.append(xr.open_dataset(path+'/'+resolution+'/'+moment+'/'+'outtrace1.nc'))\n",
+ "\n",
+ "#subclasses\n",
+ "subclass1=[]\n",
+ "subclass2=[]\n",
+ "subclass3=[]\n",
+ "subclass4=[]\n",
+ "for moment in moments[:-1]:\n",
+ " for i in range(0,9):\n",
+ " subclass1.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box1.nc'))\n",
+ " subclass2.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box2.nc'))\n",
+ " subclass3.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box3.nc'))\n",
+ " subclass4.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box4.nc'))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "fig=plt.figure(figsize=(13,9))\n",
+ "plt.rcParams.update({'font.size': 11})\n",
+ "plt.subplots_adjust(hspace = 0.3, wspace=0.1)\n",
+ "\n",
+ "ax = plt.subplot(1,4,1, projection=ccrs.PlateCarree())\n",
+ "ax.set_xticks([-40,-20,0,20], crs=ccrs.PlateCarree())\n",
+ "ax.set_xticklabels(['40W','20W','EQ','0'])\n",
+ "ax.set_yticks([40,60,80], crs=ccrs.PlateCarree())\n",
+ "ax.set_yticklabels(['40N','60N','80N'])\n",
+ "ax.set_extent([-50, 30, 30, 80])\n",
+ "ax.coastlines()\n",
+ "\n",
+ "for moment in moments[:-1]:\n",
+ " trajs = Tra()\n",
+ " trajs.load_netcdf(path+'/'+resolutions[8]+'/'+moment+'/'+'outtrace1.nc')\n",
+ " lc=plot_trajs(ax, trajs, 'P', levels=np.arange(200, 1000, 100), rasterized=False)\n",
+ "plt.title('2.5km EC ('+str(len(alltrajectory[8].ntra))+')', loc='left')\n",
+ "\n",
+ "x = [-35, -6, -6, -35, -35]\n",
+ "y = [58, 58, 80, 80, 58]\n",
+ "ax.plot(x, y, transform=ccrs.PlateCarree(), color='black')\n",
+ "\n",
+ "x = [-6, 30, 30, -6, -6]\n",
+ "y = [58, 58, 80, 80, 58]\n",
+ "ax.plot(x, y, transform=ccrs.PlateCarree(), color='black')\n",
+ "\n",
+ "x = [5, 30, 30, 5, 5]\n",
+ "y = [45, 45, 58, 58, 45]\n",
+ "ax.plot(x, y, transform=ccrs.PlateCarree(), color='black')\n",
+ "\n",
+ "x = [-15, 5, 5, -15, -15]\n",
+ "y = [30, 30, 50, 50, 30]\n",
+ "ax.plot(x, y, transform=ccrs.PlateCarree(), color='black')\n",
+ "\n",
+ "#colorbar\n",
+ "# cbar_ax = fig.add_axes([0.85, 0.2, 0.02, 0.65])\n",
+ "# clb=fig.colorbar(lc, cax=cbar_ax, orientation='vertical',fraction=0.046, pad=0.04, ticks= [200,300,400,500,600,700,800,900,1000])\n",
+ "# clb.set_label('(hPa)')\n",
+ "# fig.subplots_adjust(right=0.8, wspace=0.1, hspace=0.3)\n",
+ "\n",
+ "\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 936x144 with 4 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "## plot equivalent potential temperature and isentropic potential vorticity at 24h interval\n",
+ "\n",
+ "#setting map\n",
+ "proj = ccrs.PlateCarree()\n",
+ "fig, ax = plt.subplots(1, 4, figsize=(13,2), subplot_kw=dict(projection=proj))\n",
+ "ax = ax.reshape(-1)\n",
+ "for i in range(ax.shape[0]):\n",
+ " ax[i].coastlines(rasterized=True)\n",
+ " ax[i].set_aspect('auto')\n",
+ " ax[i].tick_params(labelsize=13)\n",
+ " ax[i].set_extent([-50, 30, 30, 80], ccrs.PlateCarree())\n",
+ " \n",
+ " # set xticks and yticks for latitudes and longitudes\n",
+ " # xaxis: longitudes\n",
+ " if i in [0,1,2,3]:\n",
+ " ax[i].set_xticks([-40,-20,0,20], crs=ccrs.PlateCarree())\n",
+ " lon_formatter = LongitudeFormatter(#zero_direction_label=True,\n",
+ " degree_symbol='',\n",
+ " dateline_direction_label=True)\n",
+ " ax[i].xaxis.set_major_formatter(lon_formatter)\n",
+ " del lon_formatter\n",
+ " # yaxis: latitudes\n",
+ " if i in [0]:\n",
+ " ax[i].set_yticks([40,60,80], crs=ccrs.PlateCarree())\n",
+ " lat_formatter = LatitudeFormatter(degree_symbol='')\n",
+ " ax[i].yaxis.set_major_formatter(lat_formatter)\n",
+ " del lat_formatter\n",
+ "\n",
+ "#plotting\n",
+ "\n",
+ "subclass1=[]\n",
+ "subclass2=[]\n",
+ "subclass3=[]\n",
+ "subclass4=[]\n",
+ "\n",
+ "subclass=[]\n",
+ "for i in range(0,4):\n",
+ " subclass.append('subclass'+str(i))\n",
+ "\n",
+ "for moment in moments[:-1]:\n",
+ " for i in range(0,4):\n",
+ " subclass[i]=Tra()\n",
+ " subclass[i].load_netcdf(path+'/'+resolutions[8]+'/'+moment+'/'+'outtrace1box'+str(i+1)+'.nc')\n",
+ " lc=plot_trajs(ax[i], subclass[i], 'P', levels=np.arange(200, 1000, 100), rasterized=False)\n",
+ " \n",
+ "#title\n",
+ "for i in range(0,4):\n",
+ " title = ['Trajectory 1 ', 'Trajectory 2 ', 'Trajectory 3 ', 'Trajectory 4 ']\n",
+ " ax[i].set_title(title[i] + '('+str(subclass[i].ntra)+')', loc='left')\n",
+ "\n",
+ "plt.show(fig)\n",
+ "plt.close(fig)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/Figure_5.ipynb b/scripts/plotting_scripts/Figure_5.ipynb
new file mode 100755
index 0000000..2a78632
--- /dev/null
+++ b/scripts/plotting_scripts/Figure_5.ipynb
@@ -0,0 +1,280 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x460.8 with 2 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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g0WcS3D9/AfjGzDLrKN5wDNcQ3JK5g6DGI5/g9shfgbkWoSunSENR3eQevg9enerJ3SpZF/61G+4aFEn4GNW5vx+RmZ0LPEPw/v7u7rdXtK27L6okWY2vaQxRCl+tdatkm3Bf9exKrkRrW7haeq96Ol68yyZoHQ6Vf5Y1Ef4b2b2K7cJ/JxXVAFTn/2dF+9ZIKFF/SvBD+pLQ4nCVfKSr9vB+he4+xt2vcfe9QvH9nqCWYH+qP1R1+O846s/E3We4+23ufjTBxc2pBN0mmwHPRWhHINIgVDe5zw4996jGtkdWY910d6+oir976HlWNY5VjpmdCvyH4IvkUXe/uSbl1LPvQ89HV7JNeICS7yvZpraFr6jOrsdjws7GVHV1JVknQveevwu9PKmWiw9/7s3MLGJjOQsGiepcZvuyIv7/DN3qObyKfXdFuGHdFWa2L8EQ0YUEDfmqxd1Xufv9wIOhRZV915Q0MfS8S5+Ju29393eBc0OLOhF0ixNpcKqb3L8MPR9YjW27m9kFZReG7rFdHXoZcZS70H20/UIvv4i0TWXM7NhQ2anAcwTdkuJBuCX8iWY2sOxKM9ubnS3qy7UbqEPPhp4PNLNLK9vQzGqzUVy4pXLLWiyzvoST1eVmtk8tljuVYOZECAaHiWR46HkRO3silHWdmbWKsPxigpbrxcCbNQmwCm8R1Gz0Y+dcD/9z99VlN7RgdL/KfthtCz1X9xZF+DM53sx+Vp0dKmnwW/L40cQgUq+qm9wnhJ4HVqPF6kbgiZKNXkJfch8SNNRZw8574WUNIJgZbgtBA5pqM7NDgTEE/9leIegPXl/V17tqNBDuNjXGzI4Nf7mZ2VCCxjypBCNm/ae+ggp1Gwp/0T9twTC4OxoSmVlrMzvdzN4G/lGLh55L0Oe/pZnVd63BrnqKIBGnAWMtGLY3A3YM3TrIzJ6wCobtrUjob/kvoZenWzC1cVao3Cwz+ycQ/lH9lwp6TkDw/+uD8NCpoUR6GUF3UYCnQt0Ea5UHQ0OHu2oeGnquqEp+b2B6aIjZ3iX+L6SG/h5+G9ruw2oe/v3Qw4A3zOyG8A8cM2tiZgPM7O9WelroT8zsn2Z2hJUYgjj0Q/vZ0MuVBFX0Ig1OdZP7ZIIhTJsRDA5SmUcI/uBfAHLNbCPB6GYHEgyCca67V3S//eTQ8xtl+2NXw52h+CAYfGVFJa3gh0VZdp0K3aI4m2CMgN0JhsnMNbMtBP3Udydo6XuWVz5+fl24lOBHUzLBqF0rLBibfSNBQ8sxwGm1ecBQt6iXQy9fDx1vUehR2RgJMRf6fE4j6F7XluCqcZOZrSf40foNQUvwqHuDuPtods5q+CtgTajcNcANoeX3uHtlPwCvJ/gRPc3McgiGon2WoKfDRHYmzrrwZIl/r6byrml7EYzkNxvYZmbZBPfaXyeo0ZlMxf39Swn9MLqQoHtdBsFoftmhc7eN4If1byndYLgFwTn9jOD/4noz20bwuR5N8F12SQ2+p0TqRbWSe+g/R/hX9vlVbJ5P8Md/B0GyakLQQOcVYH93/7ySfcNlP1WduMoo+V7aUnnXrQY3K1xocJB9Cc5byX7X0wl+uOzj7nNiENcWdz8TOIXgKn45wflrQlBN/BLBLYPavgVyLUE3xtkEV8HdQo86bSFdG9x9KcGP2V8T1HptJkgqSwiuNn9BxdXmVZX9F4Ihid8maHSaSVDd/Q5wrLvfWkURXwEHE9zeCY8QOJvgh9tR7p5bk7iqI9Q/P/w3/HwliXEmwd/Uo4S6wBEk200E5/MGguGON1Wwf6Rj5xC0W7mM4AfzeoJzt5Iggf+G4ByG/Zygwd44gs8t/J0xC/g3wUiSYxFpoKy6NddmthvBvbzNwG61fQVpZgMIfkHPdve+tVm2SGNnoRnngB6x6rJoZl0JDY0L9HP3GjWaFZGqVXs+d3dfQTB8bBtqMCVrNYRbtQ+vg7JFJPauJvjO+UKJXaRuVfvKHcDM2hPM1rSOYHrGWrnfZGY9CKrrpgEHxFFDOJG4EOsr91AvkM8IphA+293rokW+iIREM4Qj7r4m1CVqX4LBMhbVUhydCRoK/U+JXSRxmNkEYA+gI0Fr9c8JusWJSB2K6spdROJTrK7czWwRQUPI1QRzqv/B3XdpaGkRqZqSu4iISIKpdoM6ERERiQ9K7iIiIglGyV1ERCTBKLmLiIgkGCV3ERGRBKPkLiIikmCU3EVERBKMkruIiEiCUXIXERFJMEruIiIiCUbJXUREJMEouYuIiCQYJXcREZEEo+QuIiKSYJTcRUREEoySu4iISIJRchcREUkwSu4iIiIJRsldREQkwSi5i4iIJBgldxERkQSj5C4iIpJglNxFREQSjJK7iIhIglFyFxERSTBK7iIiIglGyV1ERCTBKLmLiIgkGCV3ERGRBKPkLiIikmCU3EVERBKMkruIiEiCUXIXERFJMEruIiIiCSYl1gEkCjO7Grg69DLd3fvvYpG+i/uLiDRGtssFmE0H8kosetzdH9/VcuuTuSuH1DYzm+zuB+5iMfpgRESiVxvJvTa+w2NK1fIiIiIJRsldREQkwSi5i4iIJBgldxERkQSj5C4iIpJglNxFREQSjJK7iIhIglFyFxERSTBK7iIiIglGyV1ERCTBKLmLiIgkGCV3ERGRBKPkLiIikmCU3EVERBKMkruIiEiCUXIXERFJMEruEtHw4cMxM8aPH19quZlx1FFHxSSm6qgo7kSyaNEizIzLL7881qGISAOl5N7I3HXXXZgZZsbs2bPr9FiNJQldfvnlmBmLFi2KdSgiIoCSe6Pi7jz11FOYGQBPPPFEjCOqfb/61a+YOXMmgwYNinUodaZz587MnDmTESNGxDoUEWmglNwbkY8++oiFCxdy2WWX0aFDB5577jm2b98e67BqVdu2benbty8ZGRmxDqXOpKam0rdvXzp16hTrUESkgVJyb0TCV+q/+MUvuOiii1i3bh1vvfVWnRxr+PDh9OjRA4Dnnntux60AM+PZZ58FYPz48ZgZw4cP59tvv+Xkk0+mTZs2paq4x40bx9VXX81ee+1FixYtaNq0Kf379+f2228nLy8v4nEruuc+a9YsLr/8crp27UpaWhodOnTgwgsvrPD2xNatW7n33ns58MADad68OZmZmfTr149f//rXrF69GgjaIDz33HMA9OjRY8d77N69e6my5s6dy6WXXkrnzp1p0qQJu+22G5deeilz586t9D289NJLHHzwwWRmZu4os7LbHVu3bmXEiBHst99+NGvWjMzMTIYMGcLLL79cblt357nnnuOQQw6hXbt2pKen07VrV0444QRGjx4d8ZyISHxIiXUAUj9Wr17NO++8Q+/evTnkkENo0aIF//jHP3j88ccZNmxYrR/vqKOOIicnh4ceeoh9992XM844Y8e6/fbbr9S2X3/9NSNGjOCwww7jyiuvZN26dTRp0gSAe++9l1mzZnHIIYdw8sknk5eXx5dffsnw4cMZP348n3zyCcnJyVXG88EHH3DWWWdRUFDAqaeeSq9evVi2bBlvvvkm//vf/xg3bhz777//ju03bNjA0UcfzQ8//ECfPn248soradKkCfPnz+fpp5/mrLPOokOHDtx2222MGTOGH374gRtvvJFWrVoB7HgGmDRpEsceeyybN2/mtNNOY6+99mLWrFn85z//4e2332bs2LEceOCB5WL++9//zscff8ypp57K0UcfzcaNGyt9jzk5ORxzzDFMmTKF/fffnyuvvJLi4mI+/PBDLrzwQmbMmMHf/va3Hdv/+c9/ZsSIEfTo0YPzzjuPli1bsnLlSiZNmsRrr71WJ38XIlJP3F2PWn4Ak2uhnFo1YsQIB/zuu+/esWz//fd3M/O5c+eW2/62225zwMeNG1dqOeBHHnlktY65cOFCB/yyyy6LuH7cuHEOOOCPPvpoxG3mz5/vxcXF5Zb/5S9/ccBfeeWVKuNev369t2rVyrOysnzGjBmltp8+fbo3a9bMBw4cWGr5BRdc4IBfe+21XlRUVGrdpk2bPCcnZ8fryy67zAFfuHBhuTiLi4u9b9++DviLL75Yat0rr7zigPfp06fUMcLvISMjw7///vtyZVZ0XsNx3HvvvaWWb9u2zU844QQ3M58yZcqO5W3atPHOnTv7li1byh1j7dq15ZaJxImG8h0e04eq5RsBd+fJJ58kKSmJSy+9dMfyyy+/fMe6WNpvv/245pprIq7bY489djQALOk3v/kNAB9++GGV5T///PPk5ORw++23s9dee5Vat/fee/OLX/yCKVOm8NNPPwGwZs0aRo8eTadOnbj//vtJSir936R58+a0bNmyOm+Nr776ilmzZjFkyBAuuuiiUuuGDRvGYYcdxuzZs5kwYUK5fa+++moGDhxYreNkZ2fz4osvcuCBB3LLLbeUWpeens69996Lu/PSSy+VWpeamhqx5qNt27bVOq5IQ5Cbm8udd95J9+7dMbMiM1tkZn81s8xYxxYrqpZvBD799FPmz5/PCSecQOfOnXcsv/DCC7n55pt59tlnufPOO0lNTY1JfJW1bN+yZQsPPfQQb731FnPmzGHz5s3hX9YALF++vMryv/76awB++OEHhg8fXm79nDlzAJg5cyZ77bUXkyZNori4mCOOOIJmzZpF+W5K+/777wE45phjIq4/5phjmDBhAlOmTOGII44otS6aFv+TJk2iqKhoRxuGsgoKCoDgPYZddNFF/Otf/2Lvvffm3HPP5cgjj2TIkCHV/uEi0hDk5uYydOhQunfvzpgxYxg4cGAa0B/4EzDWzIa6e26Mw6x3Su6NwOOPPw5QrgFWVlYWp556Km+88QZvv/0255xzTgyig44dO0ZcXlBQwDHHHMO3335L//79GTZsGO3atdvxI+T2228nPz+/yvKzs7OBqrv+5eYG//9zcnIASv0QqqnwffKKWraHl4ePWVJF5yWS8HucNGkSkyZNqnC78HsEeOCBB+jZsydPP/0099xzD/fccw8pKSmcdNJJ/P3vf6dXr17VPr5IrDzwwAN0796dV155BTPD3QuBqWY2DBgN3ATcGdso65+Se4Jbu3YtY8aMAeCCCy7gggsuiLjd448/HrPkHqnaHeDtt9/m22+/5bLLLtvRwj5s5cqV3H777dUqP3wl+sMPP7DPPvtUuX24MVx1agWqe+xVq1ZFXL9y5cpS25VU0Xmp7Dg33XQT//jHP6q1T3JyMjfeeCM33ngja9asYcKECbzyyiu89tprzJgxgxkzZpCWllbtGERi4amnnmLMmDHl/r+4u5vZCOBNlNwl0YT7sh9wwAHlWqmHvfPOO3zyyScsXLhwR/e12hC+l1tUVFSj/efNmwfA2WefXW7dZ599Vu1yBg8ezBtvvMEXX3xRreQ+aNAgkpKS+Pzzz9myZUuVVfOVvc/wPfOKhsMNLy/ZUr8mwjF/8cUXNdq/ffv2nHXWWZx11lkMHTqUTz/9lOnTp3PAAQfsUlwidW3p0qX079+/otXTga71GE6DoQZ1CS7cWG7UqFE8+eSTER/XXHNNnTSsa926NWbGkiVLarR/uF932cS4YMEC/vCHP1S7nCuuuIJWrVpx++238+2335ZbX1xcXOoY7dq14/zzz2flypXcfPPNFBcXl9o+Nze3VLe0rKwsgIjv89BDD6VPnz5MmDCB119/vdS6119/nc8//5zevXtz2GGHVfv9RNK+fXsuuugiJk+ezJ133klhYWG5bebPn8/ChQsByM/PZ+zYsaXaL0BwK2T9+vUACT0QUCIo2YgsOTmZ7t27c+edd5a69dIYdO3alenTp1e0uj+wtB7DaTB05Z7Axo8fz+zZsxkwYECljbOuuuoq7rrrLp555hluv/12UlJq588iMzOTgw8+mC+++IKLLrqI3r17k5yczGmnnVatK+hwf/R//OMfTJs2jYEDB7JkyRLeffddTj755Gr/aMjKyuL111/nzDPPZPDgwQwdOpS9996bpKQklixZwtdff012dnapQXH+/e9/M336dB599FHGjx/PCSecQJMmTVi4cCEffvgh77zzzo4JdIYOHcrIkSP5xS9+wTnnnENmZiatWrXiV7/61Y5Bbo477jiGDRvG6aefTt++fZk9ezZjxoyhefPmPP/88+Va5NfEv//9b+bOncv//d//8cILL3DYYYfRoUMHVqxYwcyZM5k0aRIvv/wyPXr0YNu2bRx77LF0796dgw8+mG7dupGXl8fHH3/MzJkzOe200+jXr98uxyR1o2wjsv79+zN9+nTuvvtuhg4dytixY8nMbBwNxa+66iruvvtuRo8eXapq3oIXtwJPxyy4KphZb+BY4Ahgd6AtsA1YA0wFxgGfunv5EbuqEuu+eIn4oIH0c7/wwgsd8IceeqjKbY877jgH/M0333T32unn7u4+d+5cP+WUU7xNmzZuZg74M8884+47+7nfdtttFe6/ZMkSv/DCC3233Xbz9PR032uvvfzee+/1goKCiLFUFLd70D/8l7/8pffq1cvT0tK8efPm3qdPH7/44ov9rbfeKrd9bm6u/+1vf/MBAwZ406ZNPTMz0/v16+c33nijr169utS2f//7371v377epEkTB7xbt26l1s+aNcsvvvhi79ixo6ekpHjHjh39oosu8lmzZpU7bmXvIfw+qGD8gPz8fP/Xv/7lQ4YM8RYtWniTJk28a9eufswxx/gDDzzg69atc3f37du3+7333us/+9nPvGvXrp6WluZt27b1gw8+2B955BHPz8+PeGxpGO644w4/77zzyo0BUVxc7Oeee67fcccdMYqs/m3evNkHDRrk5557rn///fcOpAIDgVeBb4BMj813eGXlnw98DhSFHsUVPIqAbODvQPdojmGhA0ktMrPJ7l5+yLHo6IOpgT/+8Y/ce++9fPXVVwwZMiTW4YjUifAVe6R2NFOmTOGss87acQumMcjNzeWBBx7g6aefZtGiRUUEVfFPAw94DbrB1dJ3eKRyjwb+AewL5ABjgC+BScAqYD3QFMgC+gKDgeNDz/nAP4G73H1TlcdScq99Su6xc9ZZZ/HWW2+xZMkSunZtlO1opBFITk4mPz8/4i20goICmjZtGrHdRSNR/W4mFRVQd8m9GPgeuBd4292rNXOXme0JXBt63OPuVbb+V4M6SQjPP/88l112GW+//TaDBg1SYpeEVlkjsunTp+vvv+E6x90PdPfXqpvYAdx9rrv/DugJfFydfZTcJSE888wzfPDBB5x55pm8+eabsQ5HpE6FG5GVrXl1d0aMGMGVV14Zo8ikMu6+S19O7r7K3SdWZ1tVy9cBVcuLSF0Kt5bv1q0bt956647W8iNGjGDx4sWNqrV8BA22Wr4+6cpdRCTOZGZmMnbsWAYMGMBZZ51F06ZNOeussxgwYEBjT+xxxcy6m9lJZtasxLIUM7vdzH4ws6/M7Mwala0r99qnK3cRkZiJmyt3M3sGOA3o4MGY+JjZcOD/SmxWBBxe3er4MF25i4iIxMYQYGyJxJ4EXA/MIhjUZhCwhWDym6gouYuIiMRGB2Bxidf7EYxS97C7L3P3ycDbwEHRFqzkLiIiEhuplL4Fe2jo9aclli0DIs8ZXQkldxERkdhYBpScaOMkYJ27zyyxrD1Q5Yh0ZWniGBERkdh4F7jJzO4H8oDjgGfKbNOX0lX31aLkLiIiEhv3AWcAvw29Xg7cFl5pZt2AQ4AHoi1YyV1ERCQG3H2NmQ0AhoYWfebum0tskkmQ+D+Mtmwld6kzA4Z/yIHdWvPMFRXPJS8i0pi5+zaC6vlI62YAM2pSrpJ7AhswPLofe3ee3p8zBnauo2jq3vIN2/jZQ59z2r67cdeZA2IdTlQKiooZPWkps1ZtYtbKzcxfm0thsTP81L05+4AusQ5PROqYmfUF+hHMP//Crpan5J7ArjuyZ7llL05czOb8Qi4+eHeap6eWWte3Y/NaPf7bvzyUpqnJtVpmotq2vYh7P5gFQFazJrTNTGPVprwYR9XwhOftfuqpp1i6dCldu3blqquu4qabbtKQqxKXzGw/4ElgYInFL4TWHQm8Dwxz9/9GU66SewK7/uhe5Za9PXV5kNwHd6dz66Z1evw92unLtrqapiYz6qL96duxBe2apzFq3Dwe+Wx+rMNqUMKTpXTv3p0xY8bsmCzl7rvvZujQoRpTXeKOmfUGxgPJwENAb+DEEpt8DqwHzgGU3CV6VzzzLZMXb+D7vxzHkxMW8N60lSzP2caJ/Ttx15kD2JxXwOvfLWPC3HUsyt7C+i3baZ6ewr5dWvHzw/dg366typVZ0T33wqJiXv9uGf/9YQXz1+ZSVOx0b9uMMwd25vyDdicpqfzQ0NOW5fDc14uZsmQDG7Zup2XTVPZs35yz9u/Cz/p3LJUM3/lhBe/8sGLHviVvNxQXO69/t4w3pyxjwdotAOzRLjj2uQd0LXfs8HsYec6+/OvTuUyYt451ufncflp/vpy3jg9mrOKZyw/iwO5tysX80YxV/O61H7hg0O786aR+lZ7/1JQkDt+zXaXbNHYPPPAA3bt355VXXsEs+Jz2228/Ro8ezbBhw3jggQf461//GuMoRaJyG9AEOMDdZ5rZbZRI7u7uZvY1NRihTsldSrnp1alMX76Rw/Zsy9F925PVLA2ABWu38M+xczmgW2uO6N2OFumprNy4jfGz1zJh3jr+dcFADqtGciooKuaGl77ny/nZdM9qxkkDOpGWksS3i9Yz4v1ZTFu+kRFn7VNqn9e/W8rf3p1JUhIc1ac93dpksH7Ldmas2MToSUv4Wf+OHNS9DZvzCnjxmyX06dCcY/q237F/ydsNt741jfemraRji3TO3r8zmPHpzNX87X8z+X5JDveeXfrYABu3FXDRkxPJaJLC0H4dSDLIymzCsIO68sGMVbz23bKIyf3175YBcI7umdeKp556ijFjxuxI7GFmxq233spZZ52l5C7xZijwZplBa8paQtD/PSpK7lLKipxtvHX9obRu1qTU8j3aNePT3x1VbvmqjXlc+MRE7vtwdrWS+xOfL+DL+dlcMGh3/vCzviSHrpSLip3b/zuDt6Ys57i9Ou5IzvPX5HLX/2bSLC2Z5648mF7tS1e7rtoY3Jc+qEcbdmvVNEjuHZtHvCXx3rSVvDdtJf06NufZKwaRkRb8+d9wTC+ueGYS701byRF7tuXkfXYrtd/cNbmcus9u3HH63qQklx7UsVe7TD75aTUbfra91LlZtmErExdks1/XVvTuULttGRqrpUuX0r9//4jr+vfvz9KlS+s5IpFd1opglLrKJBFc3UdFw89KKb86Zs9yCRygeXpqxOUdW6Zz3F4dWLhuCytztlVadnGx8/K3S2ib2YRbTuizI7EDJCcZNx/fBwP+9+POKvXRk5dSWOxcc2TPcok9fPzqemvKcgB+c2zvHYkdIKNJCjcd1xuAN79fXm6/1GTjd8f3LpfYAc47qCvbi4pL3QaA4KrdgXN11V5runbtyvTp0yOumz59Ol27dq3niER22Rqg/JVIaXsDUf9y1ZW7lDKgc8sK101ZsoEXJy7mh2UbWb8ln4Ki0lPOr96cT6dWFTfSW5S9hZxtBXRrk8Hjny+IuE16ajIL1m3Z8frHZTkAHNarbRTvIrKZKzeRZHBQhCr0A7u1JtmMmavKD+HcuVVTsjLTIpZ52r678eAnc3j9u6Vcdkh3ILj18PbU5bRIT+GEvTvuctwSuOqqq7j77rsZPXp0qap5d2fEiBFceeWVMYxOpEY+BS4wsz7uPrvsSjM7iKDq/uFoC1Zyl1LaZkau/Rk7czW/fXUqaSnJDN4ji65tmtI0NZkkMyYtWs/kxRsoKCyutOyN2woAWLx+a6UtwbdtL9rx7815hQB0aFH9K/SK5OYV0rJpKqkp5a/AU5KTaJWRyvot28utqyixAzRLS+GUfXbj1clL+XZhNoN6ZDFu1hrW5W7n4sHdSFNXwFpz0003MXToUIYNG8att966o7X8iBEjWLx4MU8//XSsQxSJ1gjgXOBzMxsO7AZgZnsDRxA0uNsM3B9twUruUkrZxkph//50HqnJSbxy9eByXdxu/+8MJi/eUGXZmaGq8KF92/Pg+QOr2DrQPD3YZ/WmvF3uWpeZnsLGbQUUFBWTWqaKvbComJytBTtiLCnyGdnpvAO78urkpbw2eRmDemTtaEinKvnalZmZydixY3nggQc466yzdvRzv/LKK3n66afVDU7ijrvPNrOzgZeBf4cWG/Bj6DkHOMvdl0RbtpK7VMuS9Vvp2T6zXIItLnamLKk6sQP0aNuM5ukp/LhsY8QEG8k+XVoxY8UmJsxbV2VyDxdX7B5xfd+Ozflm4Xq+W7yBwXtklVr33eINFLnTr1OLar2Xkvp0bM7Arq0YO2s1Py7LYeKCbA7o1lr9/OtAZmYmf/3rX9UqXhKGu39gZj2Ay4DBQBawEZgIPOPu62tSrhrUSbXs1qopS7K3sKbEqGnuziOfzWf+2i2V7LlTSnISFw7anbW5+dzz/izyCorKbbN2cz7z1+TueD3swK6kJBmPfTa/1PKwcGt5gBbpqRiwcmPkkd3ODPV1f+iTOaWq/rdtL+LBT+YE2+xfs+F3zzuoKwVFzk2jp+IEV/MiItXh7jnu/pC7X+Dux7v7ue7+95omdtCVu1TTJUO6cee7P3HuY19zXL8OpCQbU5bksGBtLkf1bsf4OWurVc41R/Zk9urNvDp5KeNnr+HgHlm0b5HG+i3bWZy9lalLN3DDMXvSM9Qyvmf7TP58cr/Qsb/i6D7t6ZbVjJytQT/3ZmnJPH15MEhORloKA7q05PvFG/jDGz/SPSuDJDOO6tOePh2bc/I+uzFu9lo+nLGKM0d9ydF922PAp7PWsDxnGyfs3ZFTynSDq64T9urIyA9ms2ZzPq0zUjm2X4eoy3jyiwUsDDUmnL0qmBhqzNTlfB+qGdl/99YaZ16kkTCz1sB2d6/e1VMZSu5SLecd2JUmyUm8OHEx7/ywgrSUJPbv1po7z+jPJz+trnZyT01O4p/nD+TdH1fy9tTlfDZnDVu3F9GmWRM6t2rKr47ek1P26VRqn3MO6Eqv9s157quFTF60gU9nraF1RhN6d8jkrP1LJ7sRZw7gvg9n8+W8dbw/rQAnaIzXJzSQzX1n78OB3Vrz1pTlvD456F3So10mlx3SnWG7cLWdmpLESft04sWJizl9v840idBorypfzltXru3C1KU5TF2as+O1krtI4jCzocAJwAh33xBa1h54DTgMKDSzh939t5UUE7lsr+D+pNScmU129wN3sZi4/mDyC4o48K5POKRnFo9dsqunIj5c8cy3fLd4A/+94TC6ZTWLdTgijVVVbWCrLqB2vsOrc5wxQH9371Vi2fPAxcBcoDnQAbjA3V+Npmzdc5c6sSh7K1A7XdjiwbRlOUxevIFDerVVYheR6toXmBB+YWZNCSaJ+djd+wB9CAawuTbaglUtL7VqRc42Xv9uGR//tBqA4/aK/t5zPBk9aQmrN+Xz9tTlJBn88qjy0+yKiFSgPVByeMuDgXTgWQB332xm7wJnRluwkrvUquUbtvHsVwvZvU0Gd5y2d8LPdPb0hIWs3pRPl9ZNufvMAQzo0irWIYlI/MgHSg7reTjBLdnPSyzbBJQfVrMKuudeB3TPXUQkZuLpnvt3QIq77xt6PRVId/e+JbZ5ATjK3aNq8at77iIiIrHxHDDAzL4xsy+AAcBLZbbZHyg37nxVVC0vIiISG48QjEo3jKDG4b/AveGVZjYI6EcwPG1UlNxFRERiwN0LgAvN7NrgpW8us8kCYCCwKNqyldxFRERiyN3LzzUdLF8HrKtJmbrnLiIiEgNm1trM9jKztDLLrzCzt83spVDVfNR05S4iIhIbdxOMRtc+vMDMbgAeZGer/zPM7EB3/ymaguPyyt0Cx5nZfWY20cxWmNl2M9toZnPN7DUzu87MajbFl4iISN07FBjr7ttKLLsZWA4cAZwXWhb12PJxdeVuZhnAr4FrgN3Z+csmD1hDMBjAHkBP4GzgITP7L/B3d/+q/iMWERGpUGdgbPiFme0FdAX+4O4TQsvOJUj0UYmbK3czu4JgIP27gW3A7cBxQCt3z3D3Lu6eRfCDZS/gSuAN4ETgCzMbbWa7xyZ6ERGRcpoSXJyGHUowgNknJZbNJ/gREJW4Se7AU8A3wMHuvpe73+HuY8u2MvTALHd/1t0vADoCvyGYPu/y+g66MRvwwuVc8dGIWIchItJQLQf6lnh9AsFwsz+UWNaa4II2KvFULX+gu38f7U6h5P8vM3sC6F7rUTVgA164PKrt7zzkKs7oeXjdBFMPlueu5Wdv/Z7T9jiUuw79RazDicriTav4ZMl3fLViOos3ryY7byMtmjRjn7Y9uaTf8Qzq2C/WIYpI7RsHXGZmvyK4gj8NeMPdi0ts04tgZrioxE1yr0liL7N/HjCrlsKJC9ftc3q5ZS/O/IjNBdu4uO9xNG+SUWpd39a1e9fi7dPupmlKWtUbCv+e+iYfLP6Wni134/DO+9CySTMWbVrF+GVTGL9sCn888CIu6ndcrMMUkdo1glD7MII2ZLnA8PBKM2sPHAk8EW3BcZPcJXrX71t+lsC3508Iknu/4+mcWbcztu3Rcrc6LT+RHNp5AFf2P5l+bbqVWj5p9Syu/mQkf/9+NMd3O4h2Ga1iE6CI1Dp3X2hmexPM4Q7wjrsvKbFJN+Bhyo83X6W4Se670hiuzMmSCK74aASTV8/m+wuf5MkZ/+O9hV+zPHcdJ3Y/mLsO/QWbt2/l9bnjmbB8Gos2r2J93iaap2awb7ue/Lz/Kezbrle5Mge8cDkHdujDM8ffWmp5YXERr88dz38XfMn8jSsoKi6me4uOnNnrCM7vcwxJVr4pyLR1C3jupw+YsmYOG/JzaZnWjD1bdeGsXkfys+6DGPXDWzzy49sAvLPgS95Z8OWOfUvebij2Yl6fO543533Bgo0rwJ09WnXmzJ6Hc27vo8odO/weRh5+Hf+a+iYTlv/IuryN3D7kSr5cPo0PFn/LM8ffyoEd+pSL+aPFk/jd5w9zQZ+h/GnQJZWe/4puhxzUoS8HdejL1ytnMHXtXI7rdlCl5YhIfHH3VcC/K1g3CZhUk3LjJrkTjK1bk2lQnfh6nzF102f/Ynr2Qg7rvA9Hd92frPTmACzYuIJ/Tn2DA9r34YjO+9KiSQYrt6xn/LIpTFg+jX8dfSOHdd6nyvILigu5YdyDfLliOt1bdOSk7oNJS07l29WzGDHpRaatm8+Iw64ptc/rc8fzt2+eJ8mSOKrLfnRr0ZH1eZuYkb2Q0XPG8rPugzioQ182993Ki7M+pk/rrhzTdf8d+5e83XDrhMd5b9FEOma04exeRwDGp0u/42/fPs/3a+Zw7+HXlot5Y/4WLnr/TjJS0hm6+wEkWRJZ6S0Z1mcoHyz+ltfmjIuY3F+fOx6Ac/Y8qhpnvmIpSckAJIeeRUSqEk9J73k0x3mdW7Elm7dOvYvWoaQetkfL3fj07AfLLV+1ZT0Xvn8H901+uVrJ/Ylp/+XLFdO5oM9Q/nDgRSQnBVfKRcXF3D7xGd6a/wXHdTtoR3Ken7Ocu755gWapTXnuhD/Rq1XpHiGrtqwH4KCO/dgts20oue8e8ZbEewsn8t6iifRr041nj7+VjNR0AG7Y72yu+GgE7y2ayBFd9uXkHkNK7Tc3Zxmn7nEIdwy5akeiDevVsjOfLJnMhrzNpc7Nss1rmbjyJ/Zr14veraOahrmUFbnr+GblTzRNbsIB7cv/gBCR+GdmnYChBF3eIjVUcne/M5oy4ya5u/vlsY6hMfjVfmeVS+BAucZ3YR2bteG43Q/kpdmfsHJLNp2aZVVYdrEX8/LssbRt2pJbDrxwR2IHSE5K4uYDz2fM/An8b+HXO5L76DmfUuhFXDPgtHKJPXz86npr3hcA/GbguTsSO0BGaho37X8ev/jkPt6c+3m55J6alMLv9j+/XGIHOK/P0dz97Yu8s2ACl+114o7lr88dj+Ocu+fR1Y6vrO1FBfxxwmNsLy7kt/ufR8u0ZjUuS0QaJjO7HfgjpfOxsfNiNvzvxEzuUj8GZO1R4bopa+by4qyP+GHtfNbnbaKguLDU+tVbN1Sa3BdtWkVOfi7dmnfg8WnvRNwmPTmVBRtX7nj947oFABzWeUA0byOimesXkWTGQR36llt3YIc+JFsSMzcsLreuc2Zbspq2iFjmaXscyoPfv87rcz/bkdwLigt5e8EEWjRpxgnda3aPvKi4mFu/fJwpa+fys26DuLzEDwcRSQxmdhHwV+BTgoZzbwDPAh8BRwFXAa8Bj0VbtpK7lNK2acuIy8cu+Y7ffv5v0pJSGdxpb7o2b0/TlDSSzJi0ehaTV8+moKig0rI35m8BYPHm1Tsav0WyrWDngE2bt28FoENG62jfSjm5Bdto2SST1OTyf/YpScm0SstkfV7Z6ZQhKz3yOQFoltqUU/YYwqtzxvHtqpkM6tiPcUunsG7bRi7uezxpyU2ijjNI7I/x0eJJnNBtECMOuwYzq3pHEYk31wHLgJ+5e2Ho//kid38FeMXM3gL+B7wcbcFxk9zN7Oka7uruflWtBhOBmV0NXB162bauj1dXKkoi/576JqlJKbxy8vByXdxun/gsk1fPrrLszNSmAAztegAPHnVDteIJ3w5YvXUDe7RsWq19Kjv+xu25FBQXkppU+k+/sLiInPxcMktU14dVlVfP630Mr84Zx2tzxjGoY78dDenO7X1U1DEWFhfxhwmP8tHiSZzUfTB3H3p1qdsXIlIv2prZ5BKvH3f3x+vgOAOAl929ZDXojvt/7v6hmX0I/B74bzQFx01yp+ZDxzpB1UadCn3wjwOU+aNICEs2r6Znq87lEnuxFzNlzZxqldGjZSeaN8ngx3XzIybYSPZpuwczshcyYfm0KvvNJ4e6sRWXGtxpp75tuvHNqp/4bvUcBnfaq9S671bPpsiL6deme7XeS0l9WndlYLs9Gbv0e35cO5+JK3/igPZ9ou7nX1BUyO8+f5hxy6Zw2h6HcuchV0XsFigidW6dux9YD8dJBbJLvN4GlK0qnA6U78ZThXj65uhRw0fFN5Gl2nbLbMuSzatZs3XDjmXuziM/vs38jSuqVUZKUjIX9jmWtdtyuGfSf8gr3F5um7Vbc5ifs3zH62G9jyHFknls2julloeFW8sDtGjSDMNYWWJZSWf2CvqSPzTlNbYV5u9Yvq0wnwenvFZqm2id1/toCooLuenzf+M45/WOriHd9qICbvzsn4xbNoWzeh2hxC7SOKwEOpV4vQQo2+2oM1BIlOLmyt3dy7d0knpzSb8TuPOb5zj3f7dx3O4HkpKUzJQ1c1mwcQVHddmP8cumVquca/Y5jdkblvLqnHGMXzaVgzv2o33T1qzP28TizauZunYuN+x3Nj1DLeN7turMnw++ZMexj+46kG7NO5CTn8uM7EU0S03n6eP/CEBGajoD2u7B92vm8IcvHqV7i45B3/iuA+nTuisn9xjCuKVT+HDxt5z5zp85uuv+mBmfLv2e5blrOaHbIE7Z45AanZ8Tug1i5OSXWbN1A63TmnPs7gdEtf8d3zzHF8t/pHVac9pntObRCG0SDurQl4M0xrxIIplCUDUf9ilwtZldArxJ0KjubODL8rtWLm6Su8TWeb2PpklyCi/O/Ih35k8gLaUJ+7fvzZ2HXMUnSyZXO7mnJqXwz6N+zbsLv+Lt+RP4bNkPbC3Mo01aczpntuNX+57FKWW6op2z51H0atWF5356n8mrZvHp0u9pndac3q2DEepKGnHo1dw3+SW+XDGN9xd9g+N0aNaaPqG+5vcdfi0HdujDW/O+2HFvvEfLTlw26GKG9T6mxucnNTmFk3oM4cVZH3F6z0Npkpwa1f7Lc9cCsCF/c8TEDsA+KLmLJJZ3gVFm1sPdFwL3AMMIWsw/G9qmAPhLtAWbe/yPC2NmyQSN2CLOUlLfw8+a2eRauF8T1x9MftF2Dnzpag7p1J/Hjr051uHUiys+GsF3q+fw39NH0K1Fx1iHI9JY7XLXklr6Dq/psXsAvwN6EozMOsrdp0VbTlxfuZvZAIJfOkdTQWJHw8/GxKJNq4Ha6cIWD6atW8Dk1bM5dLcBSuwiUmOhK/hf7Wo5cZv0zKwv8FXo5cfAqQQT3K8G9ie4kh9H0EBB6smK3HW8Pnc8Hy8JOgwk+kQno2d/yuqtG3h7/hckmfHLCMPeiojUt7hN7gSj+qQCB7n7NDMrBt5y9zvMrBnwT+Akat6FTmpgee5anv3pA3Zv3p47hlzJ4dUYbz6ePT3jf6zeuoEume24+9CrGdBWnTNEJLL6nN00bu+5m9ly4Gt3Pyf0uhi43d1vD71OAX4Evq3vcel1z11EJGYa7D33UJ6q0eym7h7VxXg8X7m3BeaWeF0I7JjdJDSU3zhA9aQiItIQ1NvspvGc3NcDmSVerwPKVnlsp/xoPyIiIvWuPmuR43kIrPlA9xKvvwOOM7P2AKH77qcDC+s/NBERkdiJ5+T+EXB0KIkDPAq0AaaY2WvANKAb8GSM4hMREamQmbUzsyPMrHkF61uE1kc9GVk8J/cnCCaEaQrg7v8DfhN6fTbQHriXoNW8iIhIQ/MXglHqIs92BUUEs8HdGm3BcdtaviIlRqtb4zF6c2otLyISMw22tXyE4/wE/BTu9VXBNq8B/dy9fzRlx/OVe0TuXuTuq2OV2EVERKqpK0H7scosCG0XlYRL7iIiInHCgSZVbNMESI624LhJ7mb2XzPbr4b7ppnZTWZ2XS2HJSIiUlOzgRMqWmlmFlo/L9qC4ya5A32B78zsfTMbZmbpVe1gZv3MbARBd7h7gc11HaTs5F+egU/7c6zDEBFpqF4H+prZv82sackVodf/BvoAo6MtOJ4GsdkLuBH4E3A8sN3MvgcmAyuBDUA6kEXwQ2Aw0JmgccVHwM3uPj0GcceMf3lGdDv0ugHrMLROYqkPnrcavrsG2h+N7XljrMOJiuevhWVvQO58yF8LhbmQ0hyadoT2x0K7I7GkePrvKiLV8E/gAuA64Awz+xxYTpC7jgB2I5gQ7cFoC46bbwt3LwDuN7NRwEUE3eAGAUPCm1C6leRagu5yo9z9x/qMtcHoOqz8shX/haKt0OkUSGlWel2zHrV7/IH/huSKZuKVUvJWwdrPofme0OxgSM2Egs2w4XuY9y9YMw7vfztBZxARSQTuvs3MjgJGAecB55dYXQy8BPzK3bdFW3bcJPcwd99KkLSfMLMWBMl9d4Ir9m3AGuBHd58RuygbBtv9gnLLfM2nQXLf7VQsvUPdHj+jS52Wn1Ca94WDX8Ss9J0yLy6EGcNh03TI/hraHhab+ESkTrh7DnChmd0IHAS0AnIIJj1bV9Ny4y65l+Tum4APYx1HIvBpf4ZNM2DIa7DsTVj7GeSvgXaHY3veiBdugVUfQc73sG0FFGyE5Axo3ge6noM171O+zC/PgBZ7YwPuKr3ci2DVh7BmPGxbCl4ETTtDh2Oh44nlEhyAb54Dy9+GzTOhYFNQZd1sd+hwHNb2MHzJy7A0dFtqzTh8zbidO5e43eBeHLyPNZ/A1mWAQ0ZXaD8UOp5QPrmG3gN9bobF/wne//Yc6PVLyJkC6yZA/7uwlnuXj3ndVzD7Puh0ErbH1ZWef0tKrWB5Cp51cJDct62stAwRiV/uvhZ4r7bKi+vkLnVg1r2QOw9a7w+pB0NqaN6dbctgyX+gxV7Q+gBIyQzuDa+fBDnf4/3+jLXev8rivbgQZt4VJMamnaHtEZCUChunw4InYPMc6H1T6X1WfQTzHwVLgjaDoGkn2L4RtsyDle8HV7Mt+0PhFlj5LjTrDm0O3llAydsNcx6EdZ9Dk7bBjwkM1k+EBY/BppnQ57flgy7MhR9vgeSmkDUYSIImraDjiUFyX/UhREjurA797uxwfJXnpcLz5UWw4bvQ++hW43JEpGEzs67AQILJzjYCU9x9aU3LU3KX0vLXwsB/YqktSi9v2gUOerrccs9fBz/8HhY+HfwgqMqy14LE3ukk6HHVjnvI7kUwbxSsGYtnHYJlBcnZty4NEm9KBgy4G8soPfGf5we1VtZyAJ7WPpTce0S+JbH28yCxN9sDBtyFJQeNU73bRTDtz7Duc7zNAVi7I0vvuHUxtDsK9ryh3D1vz9gdsr/GCzaVOjeetxpyfoTmfbFm3as+L+H9CjbByv8FLwo2Qs4PkLcy+BHU+qBqlyMi8cHM9iS4535MhHWfAr909znRlhtPXeGkPux+YfnEDlhKs8jL09pC20Ng27KgxXcl3Ith5XuQ2rpUYgeCf/e4ArDglkDYqveDavsu55VL7DuOX12rxwbP3S7ZkdgBLDkdul8a2uaT8vtZCnS/PHJjto4/Ay+ANZ+WXr7qI8ChY4VdWCMr2BTcXlg6GlZ9EDS02+0M2PPXBF1eRSRRmFkv4CtgKMFIdM8D94WeF4SWTwhtFxVduUtpzfescJVvmhm0tt88O7iq9MLSG+RnQ1q7isvetgIKN0P6brD01ciD5yc1CW4BhG0O/WCtTq1AVbYsAJKCKvyyWvYP1uUuKL8urT3WpFXkMtsdDYueD5J55zOA0K2HNZ8Gty7aHhpViJbRBQ4dE9RkbF8P2RNhycuweSbe7y9YasTJo0QkPo0gaAx+I/Cwu++YQMaCBkA3AA8AdxO0pq82JXcpLbV1xMWePRFm3RfcH2+1L6R3hKR0MAvul2+aEVzBVqYwNIZQ3oqdjd8iKcorsc+W4LlJVhRvoqLjb4GUzIiN18yS8dQWwY+WsppEPicAltIUb38UrPoAz5mGtRoA67+Fgg3Q6VQsqaqRJSso15KDH0q7nYqntoI5fw+SfM/KG+aJSFwZCrzn7v8quyKU6B8ys+OBY6MtWMldSqmw6nfJS5CUAvvej2WUnsPA540KkntVkjOC5zaDsX5/rF5A4b7427MhZRe71qU0g8JcvLiw3IAw7kVBlXhy0wp2rkTHnwVV6Ks/hFYDdjak61jzhnSlhGstNjWqMZhEGoMmwNQqtplKMKBNVHTPXapn20po2qV8YvfioJV5dWR0geRmsHl2UHVdHc17B88bvq9623A3tp01W6U16wEUR/4hsnFGsC6zZ/XiKnnYZt2heT/Inhh02cv5MegCmBH1RE6RbV8fOpD+u4okmB+Aqu6n9wKiHogtbr8tzGyBmf26im1+aWYRbqJK1NLbQ95KPH/9jkXuHlSvb6tebw2zZOh0clBlvfBJvCi/3Da+fX3QQj6s44lgybDs1dLLw9vnlxjjISUTMMivYNyH8NC6i18sdWwvyofFLwQv2kdd+xWK82dBG4RZ91KThnS+eU7k81G0DRY8GbxoXefTS4tI/bobOMvMToy00sxOBs4E7oq0vjLxXC3fnWAkn8q0AtQ5uDbsdhrMfwR+uAnPGhK0IN80M0jsrQ+CDZOqV07X82DroqAae/0kvOWA4H56QU7Q5WvTLOh2UTCwDGAZXfE9rgn6uU+9CW8zCJruFgzNmjsvqEYf8Ldg2+SmePPesOknfPY/gu1CfeOtWXes3ZF49reQ/SVMuQFvc3DQZiD7G8hfDVmHYu2PrDj2yrQ9BBY9Hbp90AKyhlS9T0nLXoeN0/GW/SGtLSSlBT9SNnwPRVuCEey6nF2z2ESkQTCzSyMsfh9418zGAp8Dq4EOwJEE3eP+C0TRLSgQz8m9OjKB7bEOIhFYxxNwS4GV/4U144JW7S32gj1vCIZFrWZyt6QUvO+tsHZ80KJ8w+SgAV1qC0jrALtfAO1K316yjscH/clXjAmq1Nd/Gxqhrjt0OK70Afb8DSx8KjR63BeABz8ewn3N+/wOVu0ddIsL3xtv2gU6Xx1cfdf0/CSl4m2PCM5P+2MqHHGuQh2ODxoo5s4LGigW5wc1EZk9gxb3HY7VuPIiFcjNzWXkyJGMGjWKdevWFQPZwMPA/e6eG+PwSnoWynUUCjd0OpbIDedOA04l6B5XbeYesUNSg2RmJTs6LyKYKefBCJsmE4w3/ySw3d0jDB9Wd8xssrvvah1q/HwwEXjxdvj6PGi1H7b38FiHUy+CIXx/gv0fxpruFutwRBqF3NxcBg8ezPz588nLyyu5Ko9gHvQh0Sb4WvoOj1TuZTXd192fi2b7eLtyX0TppHdj6FERAyKMJyp1btuK4Lk2urDFAd88J6hVaLW/ErtIPRo5cmSkxA7BFOC9gJuB4fUdVyTRJuhdEW/J/Xl2Tu16KUELwqkRtisiqJYZ6+4f1Vt0guetgdUfBVX1ENyLTmC+8v2gNfuasUAS7H5+lfuISO0ZNWpUpMQelg5cTwNJ7vUprpK7u18e/neoYcJb7n5H7CKScvJXw/IxkN4Jev0Ka31ArCOqW8vfDEbmS+8IvW/Ewl33RKReZGdnV7VJ46g+LCOu7rnHC91zFxGpH+3atWPdukqnPV/r7u2jKbOu7rlHOE51u2q7u0c1CEfc9nMXERG5/vrrSU9Pr2h1HsGMaw1VEsFt5rKPVgTdvbsTjGIXda6O6yt3M2sDXAkMAloTtJIvy919aD3HpSt3EZF6EE+t5aOMoRfwT6AZcIK7V9iwIOL+8ZrczawvMB5ox85+gpG4u9drB2EldxGR+hPu5/7II4+wdu3acD/3UdSwn3tDSO6hONKB6cBr7n5rVPvGcXJ/FzgJuAd4HFjq7kWxjSqg5C4iEjOVXexVr4AGktwBzOwR4ER37x7NfnHVWr6Mw4H/ufufYh2IiIhIHSkEOka7Uzw3qDPgp1gHISIiUhfMrC3BxDHVm52rhHi+cv8O6BPrIERERGrCzP6vglUpQFfgdKAlENX99nAB8eoO4EMzO8rdx8c6GBERkSgNr2L9JuBv7n5ftAXHc3LvCrwNfGRmLxNcyedE2tDdo5pNR0REpB4cXcHyYmADMMvdC2tScDy3li9m5zjzYZGm0lNXuBhZ0PWPpA/uwW6vXRPrUESk8Uio1vI1Fc9X7lfEOoCGbkHXP0a1fbu/n0Pz8+L377lg6XqWHnIfmefsT/sHzot1OLts7c2vs3n0ZAC6fn4zqT3axjgiEYkXcZvc63PqvHjV6qbyA/NteupLijfl0eKqQ0lqUXrIxiZ71+5UpV3G/Zakpk1qtczGYsvHP7F59GSsWRN8y/ZYhyMidcDMBgJDgP+4+8bQsmYEA/CcDmwF7nX3h6ItO26Tu1StzW+PK7cs97XvKN6UR8urDiW1a5s6PX6TXlHN1SAhRdm5rPvDmzQ7dR+K1m4mb+LCWIckInXjD8Dh7l5y/PsRwCVALsGMdv8ws5nRTl+u5C4ArDj3MfImLqTH/L+RM2o8uW9NpWDZBjJP25f2D5xH8aY8Nr30DVvHzaZgwTqKsreQ1Dyd9P13p9UNR5O+/+7lyqzonrsXFrHpP9+S+8b3bJ+7BgqLSe3ZlubnH0SLSwdjSeWHX8ibspSNj39B3qRFFG3YQnKrDJr06UjzCw4i89R9WP+Pj8l5YCwAua9/T+7r3+/Yt+TtBi8uZvN/vmXzK5PZPm8NuNNkzw40H3YgzS8eVO7Y4ffQ/uEL2TDyQ7aOm0PR2s20G3k2W8fPYct/f6TTa1fTdPAe5WLO/d801lz7H1pcPoS2d55e7c9i7R/eBKDtXaez+uoXq72fiMSdAwmGUQfAzFKBy4BvgaOANsAU4NdA40judTlVXmO2+poXyf9hGU2P6kPGCXuTnNUMgO3z1rD+vo9oenAPMob2JallUwqX57D145lsHT+bjk9fRsbRVQ874AVFrLriObZ9NofUnu3IPGM/LC2FvK/mk/3Xd8ifspT2Dw0rtc+ml75l3Z/GQLLR7Li9SO2eRVF2Lvk/LmfT81+Teeo+NB2yR/AD5KkvabJXJzJO2GvH/iVvN6y98VVyx0wlebeWNL/gIAC2fjiDdX8eQ96kRbT/1/nlYi7O2caK0x/GMtJoduLekGQkt2tOi0sHs+W/P7L5P99GTO6b//MtAC0uPLjqEx/e59XJbP3wJzo8cQnJrZtVez8RiUvtKT1AzYFAc+Cx0EQxK8zsbeBn0RYct8mdYHS9SC3KWxJMlwewAiior4ASQeGyHLp8chPJbUonlia92tNt8p/KLS9cuZHlp/yb7DverVZy3/CvT9n22RxaXD6ErOGnYsnBlbIXFbPuD2+yefRkmp3Un2Yn7A3A9jmrWffnMSRlprHbG9fSpE+HcscHaDqkJyldWu9I7hFvSYyZSu6YqTTpvxu7vX4NSc3SACi+5QRWnPMYuWOmknFMXzLP3K/UfttnrSLz7IG0u/8cLKV0x4vU3h3Y8v50itZvKXVuCpasZ9uEeaQd2I0m/ao3cmTBsg2sG/5fMs8aSLOf7V2tfUQkrjml8/BhoWWflVi2lmCCtKjE7fCz7t7d3XtEeLQBegMfAPOBfrGNNL60vvm4cgkcIKlFesTlKZ1a0uzkARTMW0vh8pxKy/biYjY9+zXJ7ZuTddspOxI7gCUn0eavJ4MZuWOm7li+6YWJUFhMqxuPKZfYw8evrs2vBi3P2/zxZzsSO0BSRhOy/nRicLxXvi2/Y5Nksv5ycrnEDtDiksF4fiGbX/uu9LFe+hbcaXHRoGrF5sXFrL3pVZIy0si6/dTqviURiW9LgMElXp8OLHP3kjXTuxH0eY9KPF+5V8jd55nZWQRT5d1GDYbua6zS9uta4bq8SYvY+PSX5H23hKLsXNheehK+wlUbSencqsL9Cxaso3jDVlJ7tGXDPz+NuI2lpwT34UPyvw9qrKpTK1CV/GkrIMloOqR8FXr64B6QnMT2GSvKrUvt0prktpkRy2x+zv6sv+d9Nr/0La2uOQIIbj1sfu07klo2pdkp+1Qrto1PTCBv4kI6Pnc5ya0yonhXIhLHXgVuN7PXCeafHwI8WGab/gQXqlFJyOQO4O55ZvYxcAFK7tWW3L55xOVb3p/O6mv/g6Wl0PTwPUnt1gbLaAJJRt7XC8ibuBDfXvlASsUbtgJQsHDdjsZvkfjWnV2/ijZtAyClY/Wv0Cs8/uY8klplYE3K/9lbSjLJbTIoWrel3LrkdpHPCUBSZhqZZw5k84vfsO2r+TQ9pCdbPvqJojWbg+6G6alVxlWwcB0bRn5E5nkHkHFM3+jelIjEswcI7qefFXo9lWBodQDMbC/gAODuaAtO2OQeUqOp8hozs8iDO62//2MsNZnO/7uBJnuW7uK29o9vVqu7VlLzoF99xs/2puMTl1QrnuQWTSkkqBXY1a51Sc3TKc7ZihcUYamlq9i9sIii9VtJap5WfscqxrtqcelgNr/4DZte/Iamh/Tc2ZDuouo1pNs+ezWeX0juq9+R++p3EbdZesT9AHR44hLdjxdJEO6eCxxqZv1Di35y9+ISm2wlmBVucrRlJ2xy35Wp8qS8wsXZpPbuUC6xe3ExeZMWVauM1F7tSGqZTv73SyIm2EjS9u9K/o/L2DpudpXJfcc9/OLII/em9d+NbRPmkffNQpoe1qvUurxvFkJRMU36Rz+QT1q/TqQd1I0tH84gb8oStk2YR/rBPcqdq4qkdG1N8/Mjjwy49dPZFK3ZTLNTBpCUmUZK19ZRxyciDZu7T69g+SJgUU3KjNvkXpdT5Ul5KV1aU7BwHYWrNpHSsQUA7s6GB8ZSMGdNFXsHLCWZFpcfQs5Dn7Lu/94h6/9OIalp6WrrwtWbKN64jSa9g8ZzLS4ZzKYXvyHnoU/JOLL3juU7tl+5cUejuqSWTcGswoZ9zc87kG0T5rH+ng/o9NrVO0bPK962nfUjPgi2Of+g6p2QMlpcMpi1k0YH/dLdaXFx9bu/pe29G+1GnhNx3YpzH6NozWba3HKChp+VUnJzcxk5ciSjRo0iOzubrKwsrr/+en7/+9+TmRm5jYg0HnGb3KnDqfKkvJY/P4x1t77F8hP/SbMT+0NqEnmTFlMwdw0Zx/Zj6yczq1VO6xuHsv2nlWx+8Ru2fjKTpof2JKVjS4rW5VKwcB15kxfT5pYTdiTxJr070PauM1h361ssO/GfNDt+L1K7t6UoZyv5PywLusi9ejUASc3SSBvYlbxvF7HmhldI3aMtJBkZx+9FWr9OZJ65H1s++okt7/7IsqEPkHH8XpgZWz76icIl62l2yj40P3Ngjc5P5skDyL79XYpWbSKpTbPgHInUkdzcXAYPHsz8+fPJy8sDYN26ddx333288cYbTJw4UQm+ATKz/wJ/dfepNdg3DbgeyHP3R6raPp6Te51NlSfltbj4YKxJMhuf+pLNr3+HpaeSPqg77f9+LrnvT6t2crfUZDo8dSm5b05h82vfsfWTWRRv3U5ym2ak7N6a1jcfX66feYsLB9GkTwdyHvucbV8vYMuHP5HcOoMm/TrtGIgmrP2D55F9x7tsHT+H4rd/AHdSOrUkrV+nYP3D57NpcA82j56849546p7tybrzdFpcWv2r7XLvq0kKmWfsx6anvqT5uQdgafH8X0saupEjR5ZK7GF5eXnMnz+fkSNHcvvtt8coOqlEX+A7M/sIeBZ4OzRYTYXMrB9wKcHIdW2BK6tzoLid8rUh05SvUJxXwKI9/0rTI/ak03+uinU49WLFuY+R980iun72O1WhS51q164d69atq3T9mjXVu12WgBrslK+h4WVvBP5EcNt4O/A9QYO5lQQXpukEY8r3JegD35ngPX0E3FzR/fmydHkhdaJgYfDFE80gM/Esb8pS8iYupOlRvZXYpc5lZ2fv0nqJDXcvAO43s1HARcBVwCCC/u0QXNSV/HGyFngCGOXuP0ZzrLhP7mY2GPg5MJBg2NmNwHfAM+7+VQxDa5QKlm1g83++Zcv7wY/LZicPiHFEdWvT8xMpXLWRza9+B0lG6wjD3orUtqysrEqv3LOysuoxGomWu28lSNpPmFkLguS+O8EV+zZgDfCju8+o6THiOrmb2d8IWsOXrYbZD7jSzO519z/Ve2CNWOHS9eQ8/jmp3bNoO/LsWhlZriHLeWQ8hSs3kbp7G7IeHEb6wIpH+BOpLddffz333XdfuXvuAOnp6Vx33XUxiEpqwt03AR/Wdrlxe8/dzM4FRgOLgTuBTwnuWXQCjgH+SvBL6AJ3f7WeY2v099xFpO5Eai0PQWLv2bNnY28t32DvudenuJ04BrgBWA0c5O5Pu/sid88PPT8NHERwv+KXMY1SRKSWZWZmMnHiRG655RbatWtHUlIS7dq145ZbbmnsiV1C4vnKfSPwvLvfUMk2/wIudfd6bdWlK3cRkZjRlTvxfeWeQjDubmW2EuftCkRERKIVz8l9HnCKmUV8D6HlJ1GDqfJERETiWTwn95eBfsDbZrZnyRVm1hN4HdgLeCkGsYmIiMRMPN9zb0IwYs8RBEPOriBoLd+RYESfJGACcKy7b6+onDqKTffcRURiQ/fcieMr91DCPg74M7AQ6ELQQr5r6PWfgaH1ndhFRESqw8wWmNmvq9jml2a2INqy47qxWWgovxHACDPLJBird6O758Y2MhERkSp1JxhZtTKtgG7RFhzXyb2kUEJXUhcRkUSSSTDBTFTiNrmb2QHAycBj7r46wvqOwNXAOzWZO1dERKS2mdnuZRa1irAMIJlglNVzgKir5eO5Qd1LwGFAN4/wJszMgEXAZ+5+aT3HpgZ1IiKx0aAb1JlZMTu/342qv+sN+K27PxjNceL2yp1gFp1xkRI7gLu7mX1K0JpeRBJAbm4uI0eOZNSoUWRnZ5OVlcX111/P73//ew25KvHieXZO7Xop8CMwNcJ2RUA2MNbdP4r2IPF85b4N+Ie7/7mSbe4CbnL3jPqLTFfuInVBk6VINTXoK/cyxykGhrv7HbVddtx2hSMYWrZdFdu0A/LrIRYRqWMjR44sl9gB8vLymD9/PiNHjoxRZCI14+5JdZHYIb6v3McC/YGekbq+mVkLYC7wk7sfXc+x6cpdpJa1a9eOdevWVbp+zZo19RiRNFBxc+Vel+L5nvvjBEPQfmxm17j7j+EVZrYv8BjQNrSdiMS57OzsXVov0hCZWRvgSmAQ0JqglXxZ7u5Doyk3bpO7u482sxMJGiRMMbPVwHKCoWc7EPx6e87dX45hmCJSS7Kysiq9cs/KyqrHaER2nZn1BcYT3EKurMYh6prceL7njrtfDlwL/EQwpvwBoecZwNXufkXsohOR2nT99deTnp4ecV16ejrXXXddPUckssvuB9oD9wJ7AKmh+/BlH5Gu5isVt/fcyzKzDIJh+nLcvap53us6Ft1zF6llai0v1RQ399zNbCPwubufWttlx/WVe0nuvtXdV8QqsZvZ1WY22cwmE9zrF5FalJmZycSJE7nlllto164dSUlJtGvXjltuuUWJXWpb2/D3eehxdR0dxwhqnmu/4ES5cm9IdOUuIhIz8XTlPo5gsrMzarvshLlyFxERiTN3ACeZ2VG1XXDctpYXERGJc12Bt4GPzOxl4DsgJ9KG7v58NAWrWr4OqFpeRCRm4qlaPjyJTMmYy373G0E/96hazOvKXUREJDbqrLu2kruIiEgMuPtzdVV23DaoM7OHzGyvWMchIiLS0MRtcgduAKaZ2edmdpGZNYl1QCIiIg1BPFfLnwdcDQwFDgUeMrNngSfcfXYsAxMREamKmS2o5qbu7j2jKTtur9zd/XV3Px7oCdwHbAd+C/xkZp+a2XlmlhrTIEVERCqWRNAavuyjFdA99GhCDXJ1wnSFM7MU4Ax2Xs0DrAOeIbian1+PsagrnIhIbMRNV7gqYugF/BNoBpzg7nlV7FJK3F65l+XuhSWu5ocAKwim0bsFmG1m75rZATENUkREpBrcfR5wFsE05rdFu3/CJHcAMzvSzF4CPiM4IWuBB4EJwEnARDMbFrsIRUREqid0tf4xcEG0+8ZzgzoAzKwNcBlBdXxvgiqZL4FHgNfcvSC03SDgTWA4MDomwYqIiESnEOgY7U5xm9zN7DDgGuBsIB3IBR4DHnH3aWW3d/dvzewZ4A/1GqiIiEgNmFlb4ExgabT7xm1yBz4PPc8guEp/3t1zq9hneeghIiISU2b2fxWsSiGYVOZ0oCVwa9Rlx2tr+dAMOqPc/YtYx1KWWsuLiMRM3LSWD00cU5lNwEPuHnWDuni+cn8fyIh1ECIiIjV0dAXLi4ENwCx3L6xJwfGc3J8G/gV8GOtAREREouXun9VV2fHcFW4V8R2/iIhInYjnK/cPgKPNLMndq7pvISIi0iCZ2WDg58BAgqFnNwLfAc+4+1c1KTOer3z/DDQHngp1FxAREYkrZvY3grFZriRI7j2A/YCrgC/M7O4alRvHreU/BdoAAwgmjVlEUFVf9g25uw+lHqm1vIhIzMRTa/lzCQZVWwzcCXwKrAQ6AccAfwV2By5w91ejKjuOk3t1q+Ld3ZPrNJgylNxFRGImnpL758CewAB3XxdhfVtgOjDb3Y+Mpuy4rZZ396RqPuo1sYuIiFTTvsDrkRI7QGj5awTV9FGJ2+QuIiIS51KArVVss5UaNH5XchcREYmNecApZhYxF4eWnwTMj7bguE/uZna+mX1iZtlmVmhm683sYzM7P9axiYiIVOJloB/wtpntWXKFmfUEXgf2Al6KtuB4blBnwPPAhQQNKIqAdUBbIJmgQdpod78wBrGpQZ2ISGzEU4O6JsBHwBEEQ86uIGgt3xHoTHABPgE41t23R1N2PF+5XwNcBHwPHAuku3sngulfjyUYAGCYmV0buxBFREQiCyXs4wjGbVkIdAEOIpgRbmFo+dBoEzvE95X7twRX6Xu7+7YI65sSdCFY7+4H1XNsunIXEYmNuLlyj3DcTIIpXjdWYwrzSsXzlftewFuREjtAaPkYgvsZIiIiDZq757r78l1N7BDfyd2p+hfaLv+CExERqQtmdoCZ/Z+ZdahgfcfQ+v2iLTuek/tM4KxQ9Xs5oeVnAD/VZ1AiIiLV9DuCCWPWVLB+NcEY87+NtuB4Tu5PE4y5+7mZDTWzFAAzSzazo4FxQLfQdiIiIg3NEGCcV9D4LbT8U+DQaAuO5ylfHwMOBy4g6EpQbGbrCSaTSSKokn/V3R+NXYgiIiIV6ggsq2KbFQQTyUQlbq/cPXARQXe4Twnmv20Tev4UuMjdNZCNiIg0VFuBdlVs0w7Ij7bguE3uYe7+srsf5+5t3T019Hycu78c69hEakNubi633XYb7dq1IykpiXbt2nHbbbeRm7vLDWpFJLamAqeHusCVY2YtgNND20Ulnvu5XwpMdfcfK9lmADDQ3Z+vv8jUz11qT25uLoMHD2b+/Pnk5eXtWJ6enk7Pnj2ZOHEimZkRvxdEGo2tBXk8P/ND3pr3OSu2ZBcDS4GngAemXfJs1L+C63GEumEEQ9B+A1xTMp+Z2b4Et58PAi6O9oI1nq/cnyVoDV+Z04Bn6jwSkToycuTIcokdIC8vj/nz5zNy5MgYRSbSMGwtyOPnH9/HvJzlPHTUrwHSCHLDAGDsgBcub7C/ft19NMEw6gcDU8xshZlNMrMVBKOvDgKer0lNdDwn9+oIjzEvEpdGjRpVLrGH5eXl8cgjj9RzRCINy/MzP2S3zLaMPPw6+rbpxrRLni2cdsmzU4FhwGLgpthGWDl3vxy4lqDbdkfggNDzDOBqd7+iJuUmenLvDWyIdRAiNZWdnb1L60US3VvzPufn/U8mmEtsp2mXPOvACODKmAQWBXd/3N0HAJkE48tnuvs+7v5kTcuMq65wZla2z/oZZtY9wqbJBH3gDwf+V9dxidSVrKws1q1bV+l6kcZs1db19GrVpaLV0wkmYYkL7r6VoAX9Lour5A5cXuLfDuwXekTiBI0UGnSVjEhlrr/+eu67776IVfPp6elcd911MYhKpOHomNGGeTnL6NumW6TV/Qka1zU68VYt3yP02INgkJoHSywr+dgdaOHuh7j7gtiEKrLrfv/739OzZ0/S09NLLQ+3lv/9738fo8hEGoYzex3BE9PfpWzPrwEvXG7ArTTSUUrjKrm7++LQYxFwOzCmxLKSj2XuviXG4YrssszMTCZOnMgtt9xSqp/7Lbfcom5wIsCl/U5gZW42N38xipnrFzPghctTB7xw+UBgNMEQ5A/EOMSYiNt+7g2Z+rmLiNSfcD/3MfO+YPmWdUUEVfFP08D7udeluE3uZnYucB1B5/4VEdZ3Jug/+LC7v1nPsSm5i4jExi5P9Z0IyT2uquXL+DnQKlJiB3D35UCL0HYiIiKNRry1li9pAPBuFdtMBk6th1hEROpVySFXV21dT8eMNpzZ6wgu7XcCGanpVRcgMWdmDwGPuftPtV12PF+5t6HiCe7DsoG29RCLiEi9KTvk6ncXPslDR/2auTnL+PnH97G1IPKohtLg3ABMM7PPzewiM2tSWwXHc3JfB+xZxTZ7Ajl1H4qISP0pO+RqSlIyfdt04/7Dr6dTZhbPz/ww1iFK9ZwHjAUOJWgjtsLM7jezPrtacDwn9y+B08ysb6SVZtaPYKq8L+o1KhGROlbRkKtmxs/7n8KYefraiwfu/rq7Hw/0BO4DtgO/BX4ys0/N7DwzS61J2fGc3O8naDMwwcx+bWa9zaxZ6PlGgqSeHNpORCRhVDbkaq9WnVm1dX09RyS7wt0XufutBAOwha/mjySYDnaZmd1jZj2jKTNuk7u7TwKuJ2gR/wAwE9gUev5HaPl17v5NzIIUEakD4SFXI5mXs5yOGW3qOSKpDe5eWOJqfgiwAmgH3ALMNrN3zeyA6pQVt8kdwN2fAPYFRgHfAfNDzw8D++7KjDoiIg1VRUOuujtPTn+XM3odHqPIZFeZ2ZFm9hLwGdAZWEsw1PoE4CRgopkNq7KceB3EpiHTIDYiUpfCreU7ZWbx8/6n0KtVZ+blLOfJ6e+yMjebJ4+7pTF3h4u7QWzMrA1wGXA1wVTlRtCu7BHgNXcvCG03CHgT2Ozu/SotU8m99im5i0hdKznkarif+xm9Dlc/9zhK7mZ2GHANcDaQDuQCLwKPuPu0Cva5E/iDu1fabS7uk7uZnQpcBPQDmrl7r9DyfgQD2PwnNFpdfcak5C4iEhvxlNyLQ/+cQXCV/ry7VzoWvpldS5Dce1S2XdyOUGdBH5BngYtDi7YBTUtssgG4m+CDvrdegxMREanaaGCUu1e776K7Pwo8WtV28dyg7nrgEuAZgtHqSnV5c/dVBPcsTq7/0ERERKr0PpBRFwXHc3K/CvgB+IW7byRyNfZcoNKqCxERkRh5GvhZXRQcz8m9DzDOK280sIagj6CIiEhDs4o6ysNxe88dKCRoXViZzgStD0UkAWgmNEkwHwBHm1mSuxdXuXUU4vnK/SfgKCs7uHKImaUDxwBT6jUqEakTmglNEtCfgebAU2ZWqzOYxnNyfwHoCzxgZqXeh5klEwxBuxtBi3oRiXOaCU0S0MvARuBSYKmZzTSzcaFJY0o+xkZbcNz2cw8l8P8BxwMrgc0EU7y+BQwmSOxvu/uZMYhN/dxFatkJb/6Oh476NX3bdCu3bub6xdw0/l98cJbmiZK47OdeFXf35GjKjtt77u5eZGanAH8BfkkwZB/AWQRzuN8ZeohIAtBMaFKRrQV5PDPjfUbPGcuG/NxiIJtgjpH7p13ybINtd+XudVZ7Hs/V8uEZdIYD7QlGqDsMGAC0c/fb3L0wlvGJSO3RTGgSydaCPC58/06e+ek9NuTnQnDl3hb4A/D1gBcuz4xpgDES18k9zAOz3f0rd5/h7kWxjklEapdmQpNInpnxPsty15BfVFB2VTrQC7i5/qOKvYRI7iKS+C7tdwIrc7O5+YtRzFy/mILiQmauX8zNX4xiZW42l/Y7IdYhSgyMnjM2UmIPSycYzbRBM7PzzewTM8s2s0IzW29mH5vZ+TUtM27uuZvZpwSNzC5z92Wh19WVDywjmDrvozoJUETqVEZqOk8edwvPz/yQm8b/q9RMaHcOuUr93BupnPwqb6ln1UccNRHqyv08cCHB7YQigvnb2wJDgWPM7DR3vzDasuMmuQNHEST3jBKvo3WlmV3p7s/VVlBSN3Jzcxk5ciSjRo0iOzubrKwsrr/+en7/+9+Tmdkob6EJQYK/dp/TuXaf02MdijQQrdIyw/faK5JdX7HUwDUEs5p+R9BG4LNQY/Fk4EjgHmCYmX0emjCm2uK2K1w0zCyNYLja0UCBu+9Tx8dTV7hdkJuby+DBg5k/fz55eTsHJklPT6dnz55MnDhRCV5EAHh46ls889N7FVXN5wH3Trvk2eHRlFmPXeG+JbhK39vdt0VY3xSYDqx394OiKbtR3HN393x3/xF4k6AvvDRgI0eOLJfYAfLy8pg/fz4jR46MUWQi0tBcsfeJdMlsT1pyatlVecA8yswY2sDsBbwVKbEDhJaPIegNFpVGkdxLeIw6moFHas+oUaPKJfawvLw8HnnkkXqOSEQaqozUdF468a9csddJtE5rDlBMcN/6XmBIQ+7nTlBDW9WgOzUalCchquXNrAvBJDFpkda7++f1HI+q5XdBUlJSue5OZdcXFam3o4hEFE8j1H1LaJyWSqrlZwDr3H1QNGXHU4O6cszseOABgjHmKxPVsH0SW1lZWaxbt67S9SIiCeBpYBTwuZn9kaBBXWGoQd0RwAigG3BftAXHbbW8mR0MvAu0Av5N8Gvtc+AJYFbo9X+BO2IUotTQ9ddfT3p65G5N6enpXHfddfUckYhInXiMYPKYA4CPgG1mtpqgvcAnwCCCLtxRtZSHOK6WN7O3gaOBvu6+IjQA/3B3vyPUd3A48DvgYHefUc+xqVp+F6i1vIjsgripli9xvAuAK4GBQEuCmeKmAE+7+8s1KTNur9yBIcA77r6ixLIk2DEc7W3ATOD2WAQnNZeZmcnEiRO55ZZbaNeuHUlJSbRr145bbrlFiV1EEo67v+zux7l7W3dPDT0fV9PEDvF95Z4P/N3d/xR6nQf8y91/X2KbB4EL3b19PcemK3cRqVMlZ0LLyc+lVVomw3oP5Yq9T2zso/XFzZW7mV0KTA111a5omwHAQHd/Ppqy4/nKfQ3QuszrnmW2SQWa1ltEIiL1oOxMaA5syM/lmZ/e48L372RrQeSupNLgPAucUcU2pwHPRFtwPCf3OZRO5hOB48ysN4CZdQTOBubGIDYRkTpT0Uxo+UUFLMtdwzMz3o9RZFIHkqlBTW48J/cPgCPNLDyJ80MEV+lTzGwSQYv5dsCDsQlPRKRuVDYTWn5RAaPnRDOvljRwvYEN0e4Uz/3cHyPo+lYA4O5fmtm5wJ1Af2ARcEu09ylERBq6qmZCq8ZMaRIjZvZ0mUVnmFn3CJsmA7sDhwP/i/Y4cZvc3X0T8E2ZZW8Bb8UiHjO7Grg69LJtLGIQkcahqpnQWqWpR8kuamtmk0u8ftzdH6+lsi8v8W8H9gs9InGCPHdTtAeJ2+Qe+vUzzd0fiHUsAKEP/nEIWlrGOBwRSWDDeg+tcCa0tORUhvU+JgZRJZR1ddhavkfo2YAFBLeOH4qwXRGwwd231OQgcZvcCSa3bxCJXUSkPl2x94l8vGRyuUZ1acmpdMlszxV7nxjD6KQy7r44/G8zux0YV3JZbYnnfu6zgC/d/apYx1KW+rmLSF3b2c/90xL93I9RP/c46udel+I5uf8fcC3BJPdRtySsS0ruInVDA7dINcRNcg81Ar8OuLjMaKvh9Z2B54GH3f3NqMqO4+SeCrxB0JrwL8Akd18d26gCSu4itS88cEtFVdEvnfhXJXiB+EruHwLt3H3/SraZBKx195OiKTuu+rmb2aVmtk/oZR5wMrAP8DawwsyKIjwKYxawiNQaDdwiCWgAUFUD7MkEeS4q8dag7lngNuBH4At0dSvSaFRn4JZf7ndmPUclskvaEAydXplsatC9Ot6SO4SqXNz9qBjHISL1SAO3SAJaB+xZxTZ7AjnRFhxX1fIi0nhVNTCLBm6ROPQlcJqZ9Y200sz6AacT1FRHRcldROLCsN5DSUtOjbhOA7dInLqfoAZ9gpn92sx6m1mz0PONBEk9ObRdVOKxWr6Vme0ezQ7uvqSughGR+qGBWyTRuPskM7seeJhgULayA7MVAde5+zfldq5CXHWFM7Niom9E5+5erz9i1BVOpG5o4BaphrjpClfieP2A64GDgVYE99gnAo+4+8walRmHyX0jUTYucPceVW9Ve5TcRURiJu6Se12Ix2r5B9z9jlgHISIi0lCpQZ2IiEgMmdmpZvaKmf1gZvNKLO9nZreEhqGNSjxeuYuIiMQ9MzOCwdkuDi3aBjQtsckG4G6CWw33RlO2rtxFRERi43rgEuAZgtHqSnV5c/dVBH3hT462YCV3ERGR2LgK+AH4hbtvJHJD6rlA1I3C46pa3t31Y0RERBJFH+Axr7zb2hqgXbQFK1mKiIjERiFQ1QANnYGoJ05QchcREYmNn4CjQg3ryjGzdOAYYEq0BSu5i4iIxMYLQF/gATMrlY/NLBn4B7AbQYv6qMTVPXcREZEE8hhwGvBr4FxgM4CZvQ4MJkjsb7v7f6ItWFfuIiIiMeDuRcApwB1AE6A3QZ/2s4AM4E6CpB+1uBpbPl5obHkRkZiJy7HlQ/fdewNZBHOozAol/xpRtbyISBzyom2w4h1Y/QnkZ0NaFnQ4FnY7DUtuWnUB0qCEusPNrq3ylNxFGrid05yOLTHN6dBGOc2pElrAi7bB9P+DtPbQ91Zo1g22LIZlr8P0/8P739GozsfW/EKen7iYt75fxoqNeUXAUuAp4IFpw0+IuhtZIlC1fB1QtbzUlq0FeVz4/p0sy11DflHBjuVpyal0yWzPSyf+tdEk+FIJrcvZpRNa/lpoRAnNl46GLUugz82U7EXl7jB7JDTrhnUdFsMI68/W/EJ+/vxkdmvVlJ8f1oNzH/s6FegP/AnoBgyNNsHXVbW8mX1K8N1+mbsvC72urnxgGfCau39U5bGU3GufkrvUloenvsUzP71XKrGHpSWncsVeJ/HL/c6MQWT1TwltJ5/8C+h7K5a5R/l1uQtg1j3YgY/HILL69+hn85m3JpeR5+wT/rswgAHDPzRgNDBt2vAT7oymzDpM7sUE3+393H1O6HW0HLjS3Z+rbCO1lhdpwEbPGRsxsQPkFxUwek40P/zj3OpPoMvZlB3vw8ygyzmwemyMAouB/Oyg5iKSjN0hf139xhNDb32/jJ8f1qPc38W04Sc4MAK4MiaBReDuSe6e7O5zSryu1oNgtrj9gDnA76o6lpK7SAOWk195bWJV6xOKEtpOaVnBLYlIti6BtLb1G08MrdqUR6/2mRWtng50rcdw6oy757v7j8CbwJ5Vba8GdSINWKu0TDZUksBbpVX4pZZ40rLIy1nAcz8m8db3y1i1KY+OLdI5c/8uXLZPEemNKKHR4VgKl7zGU2vP5q3vl5c4F525qt0bpHQYGusI603HFunMW5NL304tIq3uT9C4LpE8BlR5z13JXaQBG9Z7aKX33If1PiYGUcVGQdYxTP36KeZtOZ+Hzh9Ir/aZzFuTyxNfzGfq16M5oN/RNIl1kPVkW9ZJLJ99C4N5hhPOHEbXzn1ZunwWG+c+zaIVG+h8yPVkxDrIenLm/l14bsJM7j54Eaz5BPLXFgFL3XmqRcoVAzcVpj8d6xirw8y6EEwSkxZpvbt/HnpeAiypsjw1qKt9alAntUWt5Xd68rOfOK74YXbv1C24x56xe1AFvex1lqxczMdJv+TnR+4V6zDrxaOfzWfJ2mzuGrQQ1owNbkmktYX2Q/nTN93p1r4t1x7ZM9Zh1outWzez/KtbyPU2tNzzfN749L2mbdO2nr53i7X3t0zNaz1ubY+e117y19XRlFmfg9iY2fHAAwRjzFfI3ZOjKlfJvfYpuUtt2tnP/dMS/dyPaXT93E944DP+eV4/ehePCxrPhRNah6HMTjqa37w2iw9+c0Ssw6wXJzzwGQ+dPzBiVfTMlZu4afTURnMufOloCjcv5qm1ZzFmygqW52wrApYa/vTkoY8PTE0qnmKHjmkQreUjHOdg4AtgLfA6cAPwGcFgNocD/YB3gCnufns0ZataXqSBy0hN55f7ndlourxVZNWmPHp2bIslD4MyXd56FhWzamNejCKrf5U1IuvVPrNRnQtWf0JK31u5dq89uPbIXlAir/mXjw4kaIAWVXKvR38C8oCD3H2Fmd0AjHP3O0LD0Q4naBn/52gLVmt5EYkL4YZTkcxbk0vHlo2nFkPnooTKelE0/NbyQ4B33H1FiWVJEAxH6+63ATOBqK7adxQiItLQnbl/F574YgFlbyW6O09+sYAzBnaOUWT1T+eihMq6BTb81vItKd04bjvQrMw2XwJR32NRcheRuHDp4G6s3JjHza/9wMyVmygoKmbmyk3c/NoPrNyYx6WDK7x6Szg6FyV0OBaWvV7+h86XZxhwK9CQW8uvAVqXeV22JWQqwQA2UVGDujqgBnUidSM8QciYKctZtTGPji3TOWNgZy4d3I2MtMbVhEjnIrBzzoF2QS+KH37bhOCK/VZCY8vboWMaxNjyEY4zFihy9+NDr18FTgQOCA1P2xGYCqxw9/2jKlvJvfYpuYuI1J+dswWOhfw14VnhngYeiDaxQ70m998DfwM6uft6MzuUoLV8PvATwUh0zYEr3P35qMpWcq99Su67TtOcikgNWdWbVFFA/SX3FgTd3X5y982hZWcStO7vCSwCHnD3qGcBUnKvA0ruu0YDt4jILoib5F6X1KBOGpxnZrxfLrFDMAvastw1PDPj/RhFJiJSe8zsaTO7qS7KVnKXBkfTnIpII3Eh0L4uClZylwZH05yKSCOxCCV3aSyqmsa0UU1zKiKJ7CXgRDNrXeWWUVJylwZnWO+hpCWnRlzX2KY5FamIF23Dl7yMf3Mp/uWZwfOSl4NuYRIvRgCTgXFmdoqZdaitgpXcpcG5Yu8T6ZLZvlyCD7eWv2LvE2MUmUjD4EXb4MdbYNmbULgJ8OB52Zvw4y1K8A2YmV1qZvuEXuYBJwP7AG8DK8ysKMKjMNrjNJ5hjCRuZKSm89KJf9U0pyIVWT4Gtq0CL9Pw1AuC5cvHwO4XxCKymNiaX8gzXy1i9KQlbNhaUAxkAw8D908bfkJDa6TzLHAb8CPBdK910u1Z/dzrgPq5i0hd8m8uDV2xVyClBXZwVAOaxa2t+YVc+ORElm3YRn5hcclVecA8YEi0Cb4u+7mbWTEw3N3vqIvyw1QtLyISZ7xw8y6tTyTPfLUoUmIHSAd6ATfXf1Sxp+QuIhJn8jxjl9YnktGTlkRK7GHpwPX1GE6DoXvuIhI3vGhbcD955ftQuBlSmkOnE6HzGVhy1LNixq1Xlu7NBZ2/Iz25qNy6vKJkXlm+N1fGIK5YyNkaecCrErLqI44otTKz3aPZwd2XVL3VTkruIg2cElpgRwvxkg3Jwi3Es7/C97mv0ZyPx+btw2Ft5tK16aZSCT6vKJml21rw2Px9Gk1yb5WRSl7+Vi7vNpVhXafTKjWPnIJ0Ri/tz7OL92NbUWp2rGOM4MbQo7qcKPO1krtIA6aEVsLyMfi2VViEFuK+bRXWiFqIp6VlcPG3Z1eY0NLTGk+1/EUHdWDo9r/TuenGHT902jTJ44ruUzi+w3y/6rvTnoxxiJFsAnLq8gBK7iINmbo87eAr3yuf2EPMC/CV72ON5FwMO2h3nvlyIY8sOIhHFhxUal1aShLDDoqqxjeuXdFtKsXLN5KWVPoWRXpyEV0zNvLeof8BzoxNcBV7QK3lRRqzle+XT+xhXhCsbywKqmgBXtX6BHLFId3p0ropaSmlv8LTUpLo0ropVxzSPTaBxUDq2g/LJfawJknFlpFS+PN6DqlBUHIXaciq6tLUiLo8bSysfPCinILGM7hRRloKL/18MFcc2oPWGamYQeuMVK44tAcv/XwwGWmNqFK26v8DDbFBXZ1rRH8BInEopXkVg5U0r79YYuzlJf25ovuUiluIL927UfV5ykhL4ZdH9+KXR/eKdSixVdX/kWC0ukZHV+4iDVmnE8EiT6KDpQbrG4m31xzI0m0tyCtKLrU83EL87TV1MqCYNHSV/R8JRqkbVY/RNBhK7iINWeczoGnH8l9elhos73xGLKKKidMO6MVV35/DM4sGsn57OsUO67en88yigVz1/TmcdkAjv4JtrCr6P7Jz+Nn76z2mSrh7Ul03pgONLV8nNLa81KatWzczbdLz7Fk8gZap29hY0JS5SYcx4KBLychoPNXyFY0hHm5E1ujuNcsOpceC2BSeOGYUcL8dOibqiWPqcmz5+qLkXgeU3KW2KKGVlrt+CxNuf482H8+gdW4eGzLTWX/c3hx220lktmkW6/CkYbBdLiABknvj+VYQiUMVTYqRX1jMsg3beOarRY2mQVXxlnw2XvYsA7u0ptVrV9OkTwe2z15Nzr/HsfGyZ8l45eckNUuLdZgSA8Vb8tn4xAQ2j55E4bKcImAp8BTwwB5L72loU77WC91zF2nAKpsUI7+wmNGTohpuOq5tfGICKV1a037UBaTtvRuWkkza3rvRftSFpHRpxcYnJsQ6xHpVvCWfDQ+OZcmQe1jQ7VaWDLmHDQ+OpXhLfqxDq1fFW/JZef6TbJ+9mg5PXgqQBpwBDADGLuj6x8xYxhcrSu4NiJllmtlwM1ublJREu3btuO2228jNbXw/PL1oG77kZfybS/Evzwyel7wc3FtrRKqaFCNnW5WTZiSMzaMn0epXR2FWutbVzGj1y6PY/OrkGEVW/8omtB7z/0aHJy9l++xVrDz/yUaV4Mv+6Ntj6T2Feyy9ZyowDFgM3BTbCGNDyb2BMLNM4GvgD0Bbd2fdunXcd999DB48uFEl+B3jqS97M9R/1XeOp/7jLY0qwbfKqLCLT7C+aeXrE0nhio006dMh4romfTpSuGJjPUcUO6rF2KmiH317LL3HgRHQaObQKUXJveG4GehFMP/wDnl5ecyfP5+RI0fGJqpYqM546o3EsIN2LzfEaFhjG0M8ZbeWbJ+9OuK67bNXkbJby3qOKHZUi7FTZT/6gOlA13oMp8FQcm84fkmZxB6Wl5fHI488Us/hxJDGU99BY4jv1HzYQeT8exxle/i4OzkPj6f5eXHduDkqqsXYqbIffUB/gsZ1jY6Se8NR6fjH2dmNZwRFr2Ks6KrWJxKNIb5Ty18cRuGyHNZc/xL505fjBUXkT1/OmutfonBZDi1/cVisQ6w3qsXYqaIffQu6/tGAW4GnYxJYjKmfex2oSR9JM1sLtK1ofbt27VizZs0uxxYPtk64iKa2pcL127wZGYf9px4jkoZiR5enVydTuGIjKbu1pPl5B9LyF4c1qm5wGx4cy/bZq2g/6sJSVfPuzprrX6JJn460/s3QGEZYf8KNC1O6tKLVL49i+Yn/akJwxX4r0A0YGm13uETo564r94bjYYLhEstJT0/nuuuuq+dwYueVpXuXGz88LDxBiDROSc3SaP2boez+1R/YY9Hd7P7VH2j9m6GNKrGDajFKSmqWRqdXfk6TPh1ZffWLANuAN4Fp1CCxJwpdudeBGl65h1vLl2pUl56eTs+ePZk4cSKZmY2ju+bBd77LC4PeoGvTTaVmAAtPEHLJpLP55i+nxDBCkdhTLUaFNEIdGqGuwXD3XDMbQtBq/vqkpKR2WVlZXHfddfz+979vNIkdIC0tg4u/PZvLu01lWNfptErNI6cgndFL+/Ps4v1IT8uIdYgiMReuxWgs1e8SHSX3BqT/85eF/2kGtErLpH3v/UhqRI2mIOj+9cyXC3lkwUE8suCgUusaW/cvEala8ZZ8ch79nE3Pf03x+q3hiWMeBu5XtbzUmppU6Qx44fKI1fJpyal0yWzPSyf+lYzUiD3lEo4mSxGR6ireks/y00ZRuDgbzy8suSo85esQNaiTWLo5w7zXda22pY/vtpGpPXIY320jVzbfRPaW1Twzo/H07Vb3LxGprpxHP4+U2CG4SOpFcKuz0dGVex2oya++g1+8bO0LnTe37ZpSTHqJn1x5xbC0MIkb1nXiw3Mfru1QRUTi2qJ976B4/dbKNlm7x9J72kdTZiJcuesSqIG4rGVeVtnEDpCeBF1Tijk9vfEMYiNSkVL3VjdsJal1Bi0uHUKra49o7C3EG63iDZUmdqhigLBEpeTeQFzQcnu5xB6WngTnt9xevwGJNDCR7q0Wr9/Kxkc+Y8t70+n8zvWNKsHrh04gqXVGVVfujfLKSPfcIzCzLmb2tJmtMLN8M1tkZg+aWeu6OmbLJK+0b2ar5MhzekviK96Sz/q/f8yife9gwe5/ZNG+d7D+7x83qmk9oeJ7q55fSOHibHIe/TxGkdW/8A+djY98FiQ23/lDZ/lpoxrV30aLS4dgFbfDyQNG1dWxY5ErqktX7mWYWU/gK6A98DYwCxgE3Aj8zMwOdfda/yXosN7zrM3G/2ax6aNWFOcmk5RZRIvjc2h5ajY0azz93EFXJWG6Wt1p0/NfR2o0BQQJftMLE2nzu+PqOarYqM4PncZyLlpdewRb3pteWWv5++viuLHKFdWlK/fyRhF8WL929zPc/Y/ufgzwANAHuKsuDvrpoj1+Wv6X7mx8pw3Fm1PAjeLNKWx8pw3L/9KdyRsH1cVhGyRdleykq9Wdqrq3WkXVbEKpzg+dxiKpWRqd37meltcdSVJWM4BiYC1wLzXoBheFmOSK6lJr+RLMbA9gPrAI6OnuxSXWNQdWEgxt2N7dK5zZpCYtLf9x6r+2nD5jaYYVlP+95anF/G9gD379RuMYX3793z9m4yOfRfzysrQUWl53ZKO5KqmqJXBSVjO6T/1rPUYUOzoXOy3Y/Y9Q2Ve3GXssGVFv8TQwdT78bG3lirqkK/fSjgk9f1TywwJw983Al0AGMLi2D3z0zDUREzuAFSRx+I8ravuQDZauSnbS1epOld1btbQUWlxS6/8tG6yk1pUPwZzURkM017GY5YrqUnIvrU/oeU4F6+eGnnuXXWFmV5vZZDObTIkR5qqrRX5Bpeub5xVA8Esw4R/F67dWWp1UnL2lONYx1tvDWVfZucB9bcxjrKdHzoNjm3t+4XTKz56Y5/mF03MeHNs81jHW16N4/dbbI5yHHeejOHvL7bGOMYaP2pAe/j4PPa4us77GuaK+KLmX1jL0vLGC9eHlrcqucPfH3f3A0KN/tAfOT0mq9BJsexXrE0xVjVAaU9eWCqcCpo5bAjc0oXunQwjupa6l/u6tNkT3EzQWK/dDhzpsRNZYuHv/Et/nB7r742U2qXGuqC9qLR+d8K/Cumio8ND2JPtjk+LyXeK2J5kDD9XBMRuqh4E/ELkGpFElNIIv6bMpM+cAjfRLPJTAh4cejdYeS+/JXdD1jztmkSQYqCWb4P9Go50spQGpy1xRLUrupYV/bbWsYH2LMtvVmvTC4ruL4fRCo3eK7/xcCo3ClGKfk1Tsd9f2MRswJbQQfYlLRfRDJ6ZiliuqS8m9tNmh54ruk+wZeq7oPkuNhb7ED07y0l/iKd74vsSV0ErTl7hIgxOzXFFd6gpXQmhQgnlU3r0hCWgXq+4NIiISW/GQK9SgrgR3nw98BHQHfllm9e1AM+B5JXYRkcYrHnKFrtzLiDCk4EzgYOBogiqWQ2I5pKCIiMReQ88VSu4RmFlX4A7gZwT3e1cCY4Db3X19DEMTEZEGoiHnCiV3ERGRBKN77iIiIglGyV1ERCTBKLmLiIgkGCV3ERGRBKPkLiIikmCU3EVERBKMkruIiEiCUXIXERFJMJoVroEys+kEU5wKtAXWxTqIBkLnYiedi510LnZKd/f+sQ4i1pTcG648dz8w1kE0BGY2WecioHOxk87FTjoXO5nZ5FjH0BCoWl5ERCTBKLmLiIgkGCX3huvxWAfQgOhc7KRzsZPOxU46FzvpXKBZ4URERBKOrtxFREQSjJK7iIhIglFyFxERSTBK7jFgZieb2UdmtszMtpnZAjN7zcyGVLD9IWb2npmtN7OtZvajmf3GzJLrO/a6ZGaXmP1/e+cfbUV13fHPt1FQUSEFDZZEUZSEpq0aCW21QTT+XC0Ro9g0RYOKTfEn/ogBmjYkJhF/JGKiURoTaWNWdC1ZujQhGg0giqZWk6gpihh9aoyIEfwFAoK7f+xzcRjmvnvf4917fXP3Z61ZZ82ZPWf22XPn7jnn7DlHlrZJVWRKZwtJAyVNknSLpKfSb+I1SfdJOlVS4XNaUlscL+k7ku6V9Hr6LdxQ45zS2aEWkjoyz0p+W95q/XqC7j4XVcoqvb3yxCQ2TUbSJcCFwCvArfisUnsDxwDHSTrJzG7IyB8DzMVnq7sJWAmMBa4ADgLGN1P/RiHpQ8B3gDeBHavIlNUW44FrgBeBBcBzwAeATwPXAUdLGm+Z6NcS2+JLwL747+D3wEc6Ey6xHerhNWBWQf6bTdajUXT5uahB2e21OWYWW5M2YDCwEVgO7Jo7dghgwNOZvJ2BFcA6YGQmfzvg/iT/mVbXqwfsIuBu4HfAZalek3IypbUFcCjukP6k4PfyXKrbcW1ii0OAfdJvYkyqyw1VZEtrhzrs1AF0tFqPBtexS89Fu9srv0W3fHPZAx8K+R8zW5E9YGYLgDeAXTLZx6f9G83soYzsWryFAzC5oRo3h7PxB/lkYHUVmdLawszmm9ntZvZOLn85cG3aHZM5VGZbLDCzZZb+kWtQWjsE3XouggzRLd9clgHrgVGSBpnZpoUeJI0GdsK76iscmtI7CspaBKwBDpTU18zWNUblxiJpBDATuNLMFkk6tIpo6W1RhbdTuiGT1662yNPudugraQKwO/5S/CiwyMw2tlatplD0XNSirewVzr2JmNlKSV8EvgUskXQrPvY+DPgUcBfw+cwpH07pkwVlbZD0DPBRYC/g8Qaq3hAkbQP8EO9im15DvNS2KCLZ56S0m3VgbWeLKrS7HQbjz0+WZySdbGb3tEKhZtDJc1GLtrJXdMs3GTObhQeEbAOcBkzFA0eeB+bkuuv7p/S1KsVV8gf0uKLN4T+A/YGJZvZWDdmy26KImcBfAPPM7M5Mfjvaooh2tsP1wCdxh9UP+EtgNjAU+JmkfVunWsOp9lx0RtvZK5x7k5F0IXAzMAdvsfcDDgCeBn4k6dKuFJfSXjeHsKRReGv9m2b2QE8UmdJeZ4siJJ0NnA88AZzY1dNTWgpbbAWltYOZfSWNSb9kZmvM7Ldm9q94r+D2wIzWatgYuvtctKO9wrk3EUljgEuA28zsPDN7Ov3QfgUcC7wAnC9pr3RKpeXRf4vCnJ1zcr2CTHf8k8C/13laKW1RhKQzgCuBJcAhZrYyJ9I2tqhB2GFLKoFmo1uqRQOo47noDqW1Vzj35vIPKV2QP2Bma4AH8Xuyf8pemtLhefnkIPfEA0qe7nFNG8uOeJ1GAGuzE0oAX04y30t5s9J+WW2xGZKmAFcBv8X/wIom2GgLW9RB2GFLKsN6/VqqRQ9T53PRHUppLwjn3mz6pnSXKscr+etTOj+lRxXIjgZ2AO7vhZHA64DvV9l+nWTuS/uVLvuy2mITKdjyCuA3+B/YiiqipbdFnYQdtqQyy2VpXmi68Fx0h9LZaxOt/tC+nTbgBHz8bzkwJHfsaOAd4C1gYMrbGXiZNpqkAx/7qjaJTWltgQ9PGPAQ8Kc1ZEtti0x9xlB7EpvS26Gg3h8t+o3g82gsS/We3mo9e6iuXXkutsVnNBzWrvbKbrGeexNJcyHfCRyGT1hzC+7oR+Bd9gKmmNmVmXPG4QF4a4Eb8ek1P4V/BnQzcIKV6CZKmoF3zZ9mZtfljo2jhLaQ9Dk8wHIjPgVv0Rhxh5nNyZwzjnLaYhwwLu0OBo7EW1X3prw/mtkFOfnS2aEz0jMyFR/eewb/LxkG/D3+YjMPONbM1lcrozfQ1edC0lDcHs+a2dBMOTNoA3ttQavfLtptw98upwC/BF7HxwRXAD8BjqhyzkH4D3AV3rJ/DDgXeF+r69MA+8ygoOVeZltk6tzZtjBsgVEwhWgZ7VDDRgcDP8Yjxl/FJ3R5GZ8n4yTwRltv37r6XOCftW3xG2kXe+W3aLkHQRAEQcmIgLogCIIgKBnh3IMgCIKgZIRzD4IgCIKSEc49CIIgCEpGOPcgCIIgKBnh3IMgCIKgZIRzD4IgCIKSEc49CHoxkoamBXbmNOFaJmlho6/THST9t6QVkvpl8sYknWe0QJ8hkt6SdFGzrx0EEM49CCpOK7ttlLRS0kJJEyWpdim9H0kdkjparUdXkTQSmADMNLPVrdYHwMxewJcTPV/Sh1qtT9B+bNNqBYLgPcRXUrotsDdwLD515UjgzFYp9R5iBLCm1UoU8A18KudrWq1IjsuAs/DFT/6lxboEbUY49yBImNmM7L6kg4BFwOmSvmlmz7REsfcIZvZEq3XII2k4vhDTdWb2Vqv1yWJmf5B0F/DPkr5gZkULnwRBQ4hu+SCogpktxhebEHBA/rikv5Z0s6TlktZLel7SbEl/ViC7l6T/lPRUGotdKekxSddKGpiT7StpqqRHJa2R9LqkeyWdUK/uaUihcOGINNRgkiam/TFJdg9gj9wQxZzMeYVj7pL6S7pY0lJJayWtknSnpMMKZDeNg0vaT9JPJb2a6nmPpAPrrWPiFPz+3FTvCZK2S/fNJF2dVmtE0pyUt6ekMyUtSfXpkDS9MjwjabykByWtTuP8V0narsrlbsTXlf9MF+sVBFtFtNyDoHMq4+1vb5YpnQx8D19L/DbgeWAfYBIwVtLfmNlzSXY34H/x9cfnAXPxpSb3BE4ErgJeSbJ98GWBD8ZfLK7GncPxwE2S9jOz6T1cxw58SGJK2p+VOfabzk6UNABYDPw5XsdZwCDgBODnkiab2eyCU0cCFwIPANcBuwPHAb9IdVxap+6H4UuC/rIeYUnvx+/XQcA0M5tZIHY5vpb87cDP8SVkvw70kbQSmAncii9DezhwBvA+YHJBWYtTejhQZIcgaAytXpYutthavZGWjyzIH407jnXAbpn84cB64ClgSO6cQ9M5t2TyzkrXOKfgGv2A7TP705LsPGCbTP6uuBM24MBM/tCUNydX7sKiOqVjE9M5E3P5HRQsqZqz08Jc3uyUP5vM0pn4i85ryXZDM/ljeHe5zvz1P5/yv1vnfeuHL5n8WJXjlWvNSPt7AEvSvZtQID8nyXdk7yswAPgjsBpfKnRE5ljfVOY6YNcqeqwCVrT6dx5be23RLR8EidRVPEPS1yXdBNyNt9wvMLMXM6KT8aC7c8yjojdhZvPxluFYSTvlLrHFmLCZrbbNx4pPwR3MeWa2ISO3Aqh8VjWpezXsWSRti0epv4m3gjcNA5jZMuDbQB98zew8i81sTi7vB7izHlWnCkPwFvOLtQQl7Yf3EgwBjjazGzoRvyh7X83sVfye7gBcY2aPZ46tw4cE+uABh0UsB3bppOs+CHqc6JYPgnf5cm7fgFPN7Ppc/t+m9GBJHy8oZ1fc6QwHHsYdwzeAqyUdiXe7LwaWZB1iehnYG3jBioPX5qd0//qr1FA+gju8xWa2suD4fOBLFOv7UD7DzN6W9BLw/jqvX4lVWFVD7u+A84A3gNFm9kgN+S10A/6Q0ocLjlVeBD5YpbyKbQYBv69x7SDoEcK5B0HCzCoBU/1wB/594FpJz6YWeYWKU/lCjSJ3TOU+K2kUMAM4Cvh0Ov68pMvN7Ntpv39Kq7VEK/kDatemKWyNvq9WOWcD/mJUD5Uej1ot4v2BnYD78TiGWhRFtW+o49i2VcrbPqXvqWj+oNxEt3wQ5Ehd5XcDY3FH81+SdsiIVP7g+5uZOtnuyZT5uJn9I/5iMBKYij9/V0o6NVfu4Cqq7ZaT64x3ACQVvcAPqOP8euhJfbvDipQO7FTKAxavAY4EbpO0fQ35nmYg/gJQ1LsRBA0hnHsQVMHMHsUj4j8InJs5VInM/kQ3ytxgZg+b2SXAP6XscenYG8DvgCGS9ik4/ZCU/qqOS1W6qotmRxtZ5ZyN1N9qBliKT2qzX4pCz9MVfbvDi3iA24dryJmZnY5H8h8B/FSZaWobSbrOEODR7BBMEDSacO5B0DlfA9YCF2Qc2FX4p3FXpElUNkNSH0mfyOyPkvSBgrIredlZ336AB/FdJmmTo5U0CJ/prCJTiwdTelpOt0/y7ktFnlfwwK+6WrZmth74ET788NXcdYYBZ+N2+mE95XWV5CwXAYMk7V2H/LnAxfhLx52Sdm6EXjlG4S9MC5pwrSDYRIy5B0EnmNkLkmYD5+DfZU8zsycknYI72f+TdAfwJD7mujveon8ZDzgD+CxwhqR78M/nVgHD8G7/dWz+XfnlwNHAMcAjkubhQWvj8UC9S83svjpUvx6PCZgmaV/8c63hqexb8G/K8/wC+Dhwh6RFSbdHzOz2Tq4zNdX3zBRcuIB3v3PfCTjTGjuz31y8Lkfitu0UM5suaS3+Xf9dko4ys1oBeVvDESmd28BrBMEWRMs9CGpzMd66PrvSAk+fUh2At1z/Cp97fgIe7X4zcHrm/B/jE7Xsgju9KcDH8NnLRprZAxXB1Bo+HPi3lHUW8DlgGfBZM/tiPQqnT+cOBn6Gf68/GQ+AOxz4SZXTvoYvdjIM/97+IopfArLXWYkHH16Kjy2fh7+IPAgcZWbfrUffrWAu8BLFn9sVYmZfxV/URuGT5gxqhGJp5rsJ+AvSA7Xkg6AnUQwDBUHQm5E0Df/U8GNm9utW61NB0lj8M8gTa3xXHwQ9Tjj3IAh6NWlymKV40NrYVusDkOahfxgPUhwVwXRBs4lu+SAIejVmthafo/+hZkXB18FgvNV+Wjj2oBVEyz0IgiAISka03IMgCIKgZIRzD4IgCIKSEc49CIIgCEpGOPcgCIIgKBnh3IMgCIKgZIRzD4IgCIKS8f8Zp91aAoRgYQAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ "<Figure size 432x460.8 with 2 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "\n",
+ "path = '/work/bb1018/b380723'\n",
+ "moments=(['1m','2m'])\n",
+ "resolutions=['0.8','0.4','0.2','0.1convon','0.05convon','0.025convon','0.1convoff','0.05convoff','0.025convoff']\n",
+ "\n",
+ "#extracting trajectory count for 1-moment\n",
+ "\n",
+ "#all trajectories\n",
+ "alltrajectory=[]\n",
+ "for moment in moments[:-1]:\n",
+ " for resolution in resolutions:\n",
+ " alltrajectory.append(xr.open_dataset(path+'/'+resolution+'/'+moment+'/'+'outtrace1.nc')['ntra'].shape[0]/1000)\n",
+ " \n",
+ "#subclasses\n",
+ "subclass1=[]\n",
+ "subclass2=[]\n",
+ "subclass3=[]\n",
+ "subclass4=[0,]\n",
+ "for moment in moments[:-1]:\n",
+ " for i in range(0,9):\n",
+ " subclass1.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box1.nc')['ntra'].shape[0]/1000)\n",
+ " subclass2.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box2.nc')['ntra'].shape[0]/1000)\n",
+ " subclass3.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box3.nc')['ntra'].shape[0]/1000)\n",
+ " for i in range(1,9):\n",
+ " subclass4.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box4.nc')['ntra'].shape[0]/1000)\n",
+ " \n",
+ "####plotting\n",
+ "\n",
+ "from pylab import figure, show, legend, ylabel\n",
+ "\n",
+ "fig=plt.figure(figsize=(6,6.4))\n",
+ "plt.rcParams.update({'font.size': 20})\n",
+ "\n",
+ "x1=['80','40','20','10','5','2.5'] \n",
+ "\n",
+ "ax1 = fig.add_subplot(111)\n",
+ "ax1.plot(x1,alltrajectory[:6], linewidth=0, marker='o', markersize=8, color='black', clip_on=False)\n",
+ "ax1.plot(x1[3:],alltrajectory[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='black', clip_on=False)\n",
+ "\n",
+ "ax1.spines['top'].set_visible(False)\n",
+ "ax1.xaxis.set_ticks_position('bottom')\n",
+ "ax1.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax1.yaxis.set_ticks_position('left')\n",
+ "ax1.spines['left'].set_position(('axes', -0.05))\n",
+ "ax1.tick_params(axis='x', direction='out')\n",
+ "ax1.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "ax1.set_yticks([0, 5000, 10000, 15000, 20000])\n",
+ "labels = ['0', '$5\\cdot10^{3}$', '$10\\cdot10^{3}$', '$15\\cdot10^{3}$', '$20\\cdot10^{3}$']\n",
+ "ax1.set_yticklabels(labels)\n",
+ "\n",
+ "plt.yticks(np.arange(0,20.1,5))\n",
+ "plt.ylim(0,20)\n",
+ "plt.xlim('80', '2.5')\n",
+ "\n",
+ "ax1.set_xlabel(\"Resolution (km)\")\n",
+ "ax1.set_ylabel(\"Trajectory count (all)\")\n",
+ "\n",
+ "#######################################for sub-classes#####################################\n",
+ "\n",
+ "ax2 = fig.add_subplot(111, sharex=ax1, frameon=False)\n",
+ "ax1.plot(x1,subclass1[:6], linewidth=0, marker='o', markersize=8, color='#2c7fb8', clip_on=False)\n",
+ "ax1.plot(x1,subclass2[:6], linewidth=0, marker='o', markersize=8, color='#2ca25f', clip_on=False)\n",
+ "ax1.plot(x1,subclass3[:6], linewidth=0, marker='o', markersize=8, color='#fec44f', clip_on=False)\n",
+ "ax1.plot(x1,subclass4[:6], linewidth=0, marker='o', markersize=8, color='#dd1c77', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass1[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#2c7fb8', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass2[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#2ca25f', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass3[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#fec44f', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass4[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#dd1c77', clip_on=False)\n",
+ "\n",
+ "ax2.yaxis.tick_right()\n",
+ "ax2.yaxis.set_label_position(\"right\")\n",
+ "ax2.xaxis.set_visible(False)\n",
+ "ax2.yaxis.set_visible(True)\n",
+ "\n",
+ "ax2.set_yticks([0, 2000 , 4000, 6000, 8000])\n",
+ "labels = ['0', '$2\\cdot10^{3}$', '$4\\cdot10^{3}$', '$6\\cdot10^{3}$', '$8\\cdot10^{3}$']\n",
+ "ax2.set_yticklabels(labels)\n",
+ "\n",
+ "plt.yticks(np.arange(0,8.1,2))\n",
+ "plt.ylim(0,8)\n",
+ "\n",
+ "ax1.spines['right'].set_position(('axes', 1.05))\n",
+ "ax2.spines['right'].set_position(('axes', 1.05))\n",
+ "\n",
+ "ax2.set_ylabel(\"Trajectory count (subclasses)\")\n",
+ "\n",
+ "plt.title('(a) 1-moment microphysics', x=0.21,y=1.1)\n",
+ "\n",
+ "##########################################for plotting legend###################################\n",
+ "\n",
+ "ax2.plot(x1,alltrajectory[:6], label='All trajectories', linewidth=0, marker='o', markersize=0, color='black', clip_on=False)\n",
+ "ax2.plot(x1,subclass1[:6], label='Trajectory 1', linewidth=0, marker='o', markersize=0, color='#2c7fb8', clip_on=False)\n",
+ "ax2.plot(x1,subclass2[:6], label='Trajectory 2', linewidth=0, marker='o', markersize=0, color='#2ca25f', clip_on=False)\n",
+ "ax2.plot(x1,subclass3[:6], label='Trajectory 3', linewidth=0, marker='o', markersize=0, color='#fec44f', clip_on=False)\n",
+ "ax2.plot(x1,subclass4[:6], label='Trajectory 4', linewidth=0, marker='o', markersize=0, color='#dd1c77', clip_on=False)\n",
+ "\n",
+ "\n",
+ "leg = plt.legend(loc='upper left', bbox_to_anchor=(-0.05, 1), handlelength=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ "\n",
+ "\n",
+ "########2-moment#################################################################\n",
+ "\n",
+ "\n",
+ "path = '/work/bb1018/b380723'\n",
+ "moments=(['1m','2m'])\n",
+ "resolutions=['0.8','0.4','0.2','0.1convon','0.05convon','0.025convon','0.1convoff','0.05convoff','0.025convoff']\n",
+ "\n",
+ "#extracting trajectory count for 1-moment\n",
+ "\n",
+ "#all trajectories\n",
+ "alltrajectory=[]\n",
+ "for moment in moments[1:]:\n",
+ " for resolution in resolutions:\n",
+ " alltrajectory.append(xr.open_dataset(path+'/'+resolution+'/'+moment+'/'+'outtrace1.nc')['ntra'].shape[0]/1000)\n",
+ " \n",
+ "#subclasses\n",
+ "subclass1=[]\n",
+ "subclass2=[]\n",
+ "subclass3=[]\n",
+ "subclass4=[0,]\n",
+ "for moment in moments[1:]:\n",
+ " for i in range(0,9):\n",
+ " subclass1.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box1.nc')['ntra'].shape[0]/1000)\n",
+ " subclass2.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box2.nc')['ntra'].shape[0]/1000)\n",
+ " subclass3.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box3.nc')['ntra'].shape[0]/1000)\n",
+ " for i in range(1,9):\n",
+ " subclass4.append(xr.open_dataset(path+'/'+resolutions[i]+'/'+moment+'/'+'outtrace1box4.nc')['ntra'].shape[0]/1000)\n",
+ " \n",
+ "####plotting\n",
+ "\n",
+ "from pylab import figure, show, legend, ylabel\n",
+ "\n",
+ "fig=plt.figure(figsize=(6,6.4))\n",
+ "plt.rcParams.update({'font.size': 20})\n",
+ "\n",
+ "x1=['80','40','20','10','5','2.5'] \n",
+ "\n",
+ "ax1 = fig.add_subplot(111)\n",
+ "ax1.plot(x1,alltrajectory[:6], linewidth=0, marker='o', markersize=8, color='black', clip_on=False)\n",
+ "ax1.plot(x1[3:],alltrajectory[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='black', clip_on=False)\n",
+ "\n",
+ "ax1.spines['top'].set_visible(False)\n",
+ "ax1.xaxis.set_ticks_position('bottom')\n",
+ "ax1.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax1.yaxis.set_ticks_position('left')\n",
+ "ax1.spines['left'].set_position(('axes', -0.05))\n",
+ "ax1.tick_params(axis='x', direction='out')\n",
+ "ax1.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "ax1.set_yticks([0, 5000, 10000, 15000, 20000])\n",
+ "labels = ['0', '$5\\cdot10^{3}$', '$10\\cdot10^{3}$', '$15\\cdot10^{3}$', '$20\\cdot10^{3}$']\n",
+ "ax1.set_yticklabels(labels)\n",
+ "\n",
+ "plt.yticks(np.arange(0,20.1,5))\n",
+ "plt.ylim(0,20)\n",
+ "plt.xlim('80', '2.5')\n",
+ "\n",
+ "ax1.set_xlabel(\"Resolution (km)\")\n",
+ "ax1.set_ylabel(\"Trajectory count (all)\")\n",
+ "\n",
+ "#######################################for sub-classes#####################################\n",
+ "\n",
+ "ax2 = fig.add_subplot(111, sharex=ax1, frameon=False)\n",
+ "ax1.plot(x1,subclass1[:6], linewidth=0, marker='o', markersize=8, color='#2c7fb8', clip_on=False)\n",
+ "ax1.plot(x1,subclass2[:6], linewidth=0, marker='o', markersize=8, color='#2ca25f', clip_on=False)\n",
+ "ax1.plot(x1,subclass3[:6], linewidth=0, marker='o', markersize=8, color='#fec44f', clip_on=False)\n",
+ "ax1.plot(x1,subclass4[:6], linewidth=0, marker='o', markersize=8, color='#dd1c77', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass1[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#2c7fb8', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass2[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#2ca25f', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass3[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#fec44f', clip_on=False)\n",
+ "ax1.plot(x1[3:6], subclass4[6:], linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#dd1c77', clip_on=False)\n",
+ "\n",
+ "ax2.yaxis.tick_right()\n",
+ "ax2.yaxis.set_label_position(\"right\")\n",
+ "ax2.xaxis.set_visible(False)\n",
+ "ax2.yaxis.set_visible(True)\n",
+ "\n",
+ "ax2.set_yticks([0, 2000 , 4000, 6000, 8000])\n",
+ "labels = ['0', '$2\\cdot10^{3}$', '$4\\cdot10^{3}$', '$6\\cdot10^{3}$', '$8\\cdot10^{3}$']\n",
+ "ax2.set_yticklabels(labels)\n",
+ "\n",
+ "plt.yticks(np.arange(0,8.1,2))\n",
+ "plt.ylim(0,8)\n",
+ "\n",
+ "ax1.spines['right'].set_position(('axes', 1.05))\n",
+ "ax2.spines['right'].set_position(('axes', 1.05))\n",
+ "\n",
+ "ax2.set_ylabel(\"Trajectory count (subclasses)\")\n",
+ "\n",
+ "plt.title('(b) 2-moment microphysics', x=0.21,y=1.1)\n",
+ "\n",
+ "##########################################for plotting legend###################################\n",
+ "\n",
+ "ax2.plot(x1,alltrajectory[:6], label='All trajectories', linewidth=0, marker='o', markersize=0, color='black', clip_on=False)\n",
+ "ax2.plot(x1,subclass1[:6], label='Trajectory 1', linewidth=0, marker='o', markersize=0, color='#2c7fb8', clip_on=False)\n",
+ "ax2.plot(x1,subclass2[:6], label='Trajectory 2', linewidth=0, marker='o', markersize=0, color='#2ca25f', clip_on=False)\n",
+ "ax2.plot(x1,subclass3[:6], label='Trajectory 3', linewidth=0, marker='o', markersize=0, color='#fec44f', clip_on=False)\n",
+ "ax2.plot(x1,subclass4[:6], label='Trajectory 4', linewidth=0, marker='o', markersize=0, color='#dd1c77', clip_on=False)\n",
+ "\n",
+ "\n",
+ "leg = plt.legend(loc='upper left', bbox_to_anchor=(-0.05, 1), handlelength=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/scripts/plotting_scripts/Figure_6.ipynb b/scripts/plotting_scripts/Figure_6.ipynb
new file mode 100644
index 0000000..801de8a
--- /dev/null
+++ b/scripts/plotting_scripts/Figure_6.ipynb
@@ -0,0 +1,481 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Load packages\n",
+ "import xarray as xr\n",
+ "import pickle\n",
+ "from scipy import stats\n",
+ "from scipy import *\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import warnings\n",
+ "warnings.simplefilter(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Loading trajectories\n",
+ "ds1=xr.open_dataset('/work/bb1018/b380723/0.8/1m/outtrace1.nc')\n",
+ "ds2=xr.open_dataset('/work/bb1018/b380723/0.4/1m/outtrace1.nc')\n",
+ "ds3=xr.open_dataset('/work/bb1018/b380723/0.2/1m/outtrace1.nc')\n",
+ "ds4=xr.open_dataset('/work/bb1018/b380723/0.1convon/1m/outtrace1.nc')\n",
+ "ds5=xr.open_dataset('/work/bb1018/b380723/0.05convon/1m/outtrace1.nc')\n",
+ "ds6=xr.open_dataset('/work/bb1018/b380723/0.025convon/1m/outtrace1.nc')\n",
+ "ds7=xr.open_dataset('/work/bb1018/b380723/0.1convoff/1m/outtrace1.nc') \n",
+ "ds8=xr.open_dataset('/work/bb1018/b380723/0.05convoff/1m/outtrace1.nc')\n",
+ "ds9=xr.open_dataset('/work/bb1018/b380723/0.025convoff/1m/outtrace1.nc')\n",
+ "\n",
+ "#computing statistics\n",
+ "\n",
+ "#creating empty arrays for saving calculations\n",
+ "#abbreviations used- \n",
+ "# map- main ascent period; mah- main ascent height \n",
+ "\n",
+ "maxiarg=xr.full_like(ds1.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds1.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds1.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds1.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds1.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds1.P[0,:], np.nan)\n",
+ "\n",
+ "#main ascent period (map) and ascent height (mah) during main ascent period for each trajectory\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds1.P.ntra.size):\n",
+ " maxiarg[i]=ds1.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds1.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i] #main ascent period\n",
+ " \n",
+ " mah[i]=ds1.P[maxiarg[i].astype(int).values,i]-ds1.P[miniarg[i].astype(int).values,i] #ascent height during main ascent period\n",
+ "\n",
+ "#ascent rate for each trajectory\n",
+ "P=xr.full_like(ds1.P, np.nan)\n",
+ "for i in range(ds1.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds1.P[j+1,i]-ds1.P[j,i]) #ascent rate during main ascent periof\n",
+ "\n",
+ "#Calculating and saving mean MAP, minimum MAP, maximum MAP, mean ascent height, mean ascent rate over all trajectories\n",
+ "resulttrajtot_a=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "#########################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds2.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds2.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds2.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds2.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds2.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds2.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds2.P.ntra.size):\n",
+ " maxiarg[i]=ds2.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds2.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds2.P[maxiarg[i].astype(int).values,i]-ds2.P[miniarg[i].astype(int).values,i]\n",
+ " \n",
+ "P=xr.full_like(ds2.P, np.nan)\n",
+ "for i in range(ds2.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds2.P[j+1,i]-ds2.P[j,i])\n",
+ "\n",
+ "resulttrajtot_b=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "#########################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds3.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds3.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds3.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds3.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds3.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds3.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds3.P.ntra.size):\n",
+ " maxiarg[i]=ds3.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds3.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds3.P[maxiarg[i].astype(int).values,i]-ds3.P[miniarg[i].astype(int).values,i]\n",
+ "\n",
+ "P=xr.full_like(ds3.P, np.nan)\n",
+ "for i in range(ds3.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds3.P[j+1,i]-ds3.P[j,i])\n",
+ "\n",
+ "resulttrajtot_c=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "##########################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds4.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds4.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds4.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds4.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds4.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds4.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds4.P.ntra.size):\n",
+ " maxiarg[i]=ds4.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds4.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds4.P[maxiarg[i].astype(int).values,i]-ds4.P[miniarg[i].astype(int).values,i]\n",
+ "\n",
+ "P=xr.full_like(ds4.P, np.nan)\n",
+ "for i in range(ds4.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds4.P[j+1,i]-ds4.P[j,i])\n",
+ "\n",
+ "resulttrajtot_d=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "#######################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds5.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds5.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds5.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds5.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds5.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds5.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds5.P.ntra.size):\n",
+ " maxiarg[i]=ds5.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds5.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds5.P[maxiarg[i].astype(int).values,i]-ds5.P[miniarg[i].astype(int).values,i]\n",
+ "\n",
+ "P=xr.full_like(ds5.P, np.nan)\n",
+ "for i in range(ds5.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds5.P[j+1,i]-ds5.P[j,i])\n",
+ "\n",
+ "resulttrajtot_e=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "##########################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds6.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds6.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds6.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds6.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds6.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds6.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds6.P.ntra.size):\n",
+ " maxiarg[i]=ds6.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds6.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds6.P[maxiarg[i].astype(int).values,i]-ds6.P[miniarg[i].astype(int).values,i]\n",
+ " \n",
+ "P=xr.full_like(ds6.P, np.nan)\n",
+ "for i in range(ds6.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds6.P[j+1,i]-ds6.P[j,i])\n",
+ "\n",
+ "resulttrajtot_f=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "#########################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds7.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds7.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds7.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds7.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds7.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds7.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds7.P.ntra.size):\n",
+ " maxiarg[i]=ds7.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds7.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds7.P[maxiarg[i].astype(int).values,i]-ds7.P[miniarg[i].astype(int).values,i]\n",
+ " \n",
+ "P=xr.full_like(ds7.P, np.nan)\n",
+ "for i in range(ds7.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds7.P[j+1,i]-ds7.P[j,i])\n",
+ "\n",
+ "resulttrajtot_g=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "#########################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds8.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds8.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds8.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds8.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds8.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds8.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds8.P.ntra.size):\n",
+ " maxiarg[i]=ds8.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds8.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds8.P[maxiarg[i].astype(int).values,i]-ds8.P[miniarg[i].astype(int).values,i]\n",
+ "\n",
+ "P=xr.full_like(ds8.P, np.nan)\n",
+ "for i in range(ds8.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds8.P[j+1,i]-ds8.P[j,i])\n",
+ " \n",
+ "resulttrajtot_h=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "\n",
+ "##########################################################\n",
+ "\n",
+ "maxiarg=xr.full_like(ds9.P[0,:], np.nan)\n",
+ "miniarg=xr.full_like(ds9.P[0,:], np.nan)\n",
+ "mapi=xr.full_like(ds9.P[0,:], np.nan)\n",
+ "maxi=xr.full_like(ds9.P[0,:], np.nan)\n",
+ "mini=xr.full_like(ds9.P[0,:], np.nan)\n",
+ "mah=xr.full_like(ds9.P[0,:], np.nan)\n",
+ "\n",
+ "ntim = np.arange(0,49,1)\n",
+ "for i in range(ds9.P.ntra.size):\n",
+ " maxiarg[i]=ds9.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmax(fill_value=None)\n",
+ " miniarg[i]=ds9.assign_coords(ntim=(\"ntim\", ntim)).P[:,i].idxmin(fill_value=None)\n",
+ " mapi[i]=miniarg[i]-maxiarg[i]\n",
+ " \n",
+ " mah[i]=ds9.P[maxiarg[i].astype(int).values,i]-ds9.P[miniarg[i].astype(int).values,i]\n",
+ "\n",
+ "P=xr.full_like(ds9.P, np.nan)\n",
+ "for i in range(ds9.P.ntra.size):\n",
+ " for j in range(maxiarg[i].astype(int).values,miniarg[i].astype(int).values,1):\n",
+ " P[j,i]=-(ds9.P[j+1,i]-ds9.P[j,i])\n",
+ "\n",
+ "resulttrajtot_i=[mapi.mean(),mapi.min(),mapi.max(),mah.mean(),P.mean()]\n",
+ "\n",
+ "##############################################################################\n",
+ "#saving calculations of all statistics for all resolutions\n",
+ "\n",
+ "resulttrajtot=[resulttrajtot_a,resulttrajtot_b,resulttrajtot_c,resulttrajtot_d,resulttrajtot_e,resulttrajtot_f,resulttrajtot_g,resulttrajtot_h,resulttrajtot_i,]\n",
+ "\n",
+ "with open(\"trajtot_stat_unfiltered_1m.pkl\",\"wb\") as f:\n",
+ " pickle.dump(resulttrajtot,f)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#loading saved calculation\n",
+ "\n",
+ "with open(\"/work/bb1018/b380723/figures/p_1m/trajtot_stat_unfiltered_1m.pkl\",\"rb\") as f:\n",
+ " trajtot = pickle.load(f)\n",
+ " \n",
+ "resulttrajtot_a=trajtot[0]\n",
+ "resulttrajtot_b=trajtot[1]\n",
+ "resulttrajtot_c=trajtot[2]\n",
+ "resulttrajtot_d=trajtot[3]\n",
+ "resulttrajtot_e=trajtot[4]\n",
+ "resulttrajtot_f=trajtot[5]\n",
+ "resulttrajtot_g=trajtot[6]\n",
+ "resulttrajtot_h=trajtot[7]\n",
+ "resulttrajtot_i=trajtot[8]\n",
+ "\n",
+ "with open(\"/work/bb1018/b380723/figures/p_1m/trajtot_stat_unfiltered_2m.pkl\",\"rb\") as f:\n",
+ " trajtot2m = pickle.load(f)\n",
+ " \n",
+ "resulttrajtot2m_a=trajtot2m[0]\n",
+ "resulttrajtot2m_b=trajtot2m[1]\n",
+ "resulttrajtot2m_c=trajtot2m[2]\n",
+ "resulttrajtot2m_d=trajtot2m[3]\n",
+ "resulttrajtot2m_e=trajtot2m[4]\n",
+ "resulttrajtot2m_f=trajtot2m[5]\n",
+ "resulttrajtot2m_g=trajtot2m[6]\n",
+ "resulttrajtot2m_h=trajtot2m[7]\n",
+ "resulttrajtot2m_i=trajtot2m[8]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 504x1008 with 4 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize=(7,14))\n",
+ "plt.rcParams.update({'font.size': 13})\n",
+ "plt.subplots_adjust(hspace = 0.6, wspace=0.6)\n",
+ "\n",
+ "\n",
+ "########################################mean MAP############################\n",
+ "\n",
+ "ax= plt.subplot(421)\n",
+ "\n",
+ "x1=['80','40','20','10','5','2.5']\n",
+ "trajtot=[resulttrajtot_a[0], resulttrajtot_b[0], resulttrajtot_c[0], resulttrajtot_d[0], resulttrajtot_e[0], resulttrajtot_f[0]]\n",
+ "trajtotconvoff=[resulttrajtot_g[0], resulttrajtot_h[0], resulttrajtot_i[0]]\n",
+ "\n",
+ "ax.plot(x1,trajtot,linewidth=0, marker='o', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtotconvoff, linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "trajtot2m=[resulttrajtot2m_a[0], resulttrajtot2m_b[0], resulttrajtot2m_c[0], resulttrajtot2m_d[0], resulttrajtot2m_e[0], resulttrajtot2m_f[0]]\n",
+ "trajtot2mconvoff=[resulttrajtot2m_g[0], resulttrajtot2m_h[0], resulttrajtot2m_i[0]]\n",
+ "\n",
+ "ax.plot(x1,trajtot2m,linewidth=0, marker='s', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtot2mconvoff, linewidth=0, marker='s', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "plt.yticks(np.arange(35,44.1,3))\n",
+ "plt.ylim(35,44)\n",
+ "plt.xlim('80', '2.5')\n",
+ "\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ " \n",
+ "plt.title('(a) Mean MAP (hours)',x=0.26,y=1.1, fontsize=13.5)\n",
+ "\n",
+ "########################################min MAP############################\n",
+ "\n",
+ "ax= plt.subplot(423)\n",
+ "\n",
+ "x1=['80','40','20','10','5','2.5']\n",
+ "trajtot=[resulttrajtot_a[1], resulttrajtot_b[1], resulttrajtot_c[1], resulttrajtot_d[1], resulttrajtot_e[1], resulttrajtot_f[1]]\n",
+ "trajtotconvoff=[resulttrajtot_g[1], resulttrajtot_h[1], resulttrajtot_i[1]]\n",
+ "\n",
+ "ax.plot(x1,trajtot,linewidth=0, marker='o', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtotconvoff, linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "trajtot2m=[resulttrajtot2m_a[1], resulttrajtot2m_b[1], resulttrajtot2m_c[1], resulttrajtot2m_d[1], resulttrajtot2m_e[1], resulttrajtot2m_f[1]]\n",
+ "trajtot2mconvoff=[resulttrajtot2m_g[1], resulttrajtot2m_h[1], resulttrajtot2m_i[1]]\n",
+ "\n",
+ "ax.plot(x1,trajtot2m,linewidth=0, marker='s', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtot2mconvoff, linewidth=0, marker='s', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "\n",
+ "plt.yticks(np.arange(5,30.1,5))\n",
+ "plt.ylim(3.3,31)\n",
+ "plt.xlim('80', '2.5')\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ " \n",
+ "plt.title('(b) Minimum MAP (hours)',x=0.34,y=1.1, fontsize=13.5)\n",
+ "\n",
+ "\n",
+ "########################################mean ascent height#####################################\n",
+ "\n",
+ "ax= plt.subplot(425)\n",
+ "\n",
+ "trajtot=[624, resulttrajtot_b[3], resulttrajtot_c[3], resulttrajtot_d[3], resulttrajtot_e[3], resulttrajtot_f[3]]\n",
+ "trajtotconvoff=[resulttrajtot_g[3], resulttrajtot_h[3], resulttrajtot_i[3]]\n",
+ "\n",
+ "ax.plot(x1,trajtot,linewidth=0, marker='o', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtotconvoff, linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "trajtot2m=[resulttrajtot2m_a[3], resulttrajtot2m_b[3], resulttrajtot2m_c[3], resulttrajtot2m_d[3], resulttrajtot2m_e[3], resulttrajtot2m_f[3]]\n",
+ "trajtot2mconvoff=[resulttrajtot2m_g[3], resulttrajtot2m_h[3], resulttrajtot2m_i[3]]\n",
+ "\n",
+ "ax.plot(x1,trajtot2m,linewidth=0, marker='s', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtot2mconvoff, linewidth=0, marker='s', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "plt.yticks(np.arange(620,700.1,20))\n",
+ "plt.ylim(620,700)\n",
+ "plt.xlim('80', '2.5')\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ " \n",
+ "plt.title('(c) Mean ascent height (hPa)',x=0.43,y=1.1, fontsize=13.5)\n",
+ "\n",
+ "##############################################mean ascent rate#################################\n",
+ "\n",
+ "ax= plt.subplot(427)\n",
+ "\n",
+ "trajtot=[resulttrajtot_a[4], resulttrajtot_b[4], resulttrajtot_c[4], resulttrajtot_d[4], resulttrajtot_e[4], resulttrajtot_f[4]]\n",
+ "trajtotconvoff=[resulttrajtot_g[4], resulttrajtot_h[4], resulttrajtot_i[4]]\n",
+ "\n",
+ "ax.plot(x1,trajtot,linewidth=0, marker='o', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtotconvoff, linewidth=0, marker='o', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "trajtot2m=[resulttrajtot2m_a[4], resulttrajtot2m_b[4], resulttrajtot2m_c[4], resulttrajtot2m_d[4], resulttrajtot2m_e[4], resulttrajtot2m_f[4]]\n",
+ "trajtot2mconvoff=[resulttrajtot2m_g[4], resulttrajtot2m_h[4], resulttrajtot2m_i[4]]\n",
+ "\n",
+ "ax.plot(x1,trajtot2m,linewidth=0, marker='s', markersize=8, color='#636363', clip_on=False)\n",
+ "ax.plot(x1[3:6], trajtot2mconvoff, linewidth=0, marker='s', markersize=8, markerfacecolor='None', color='#636363', clip_on=False)\n",
+ "\n",
+ "plt.yticks(np.arange(14,20.1,2))\n",
+ "plt.ylim(14,20)\n",
+ "plt.xlim('80', '2.5')\n",
+ "plt.xlabel(\"Resolution (km)\")\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ " \n",
+ "plt.title('(d) Mean ascent rate (hPa h$^{-1}$)',x=0.46,y=1.1, fontsize=13.5)\n",
+ "\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/Figure_7.ipynb b/scripts/plotting_scripts/Figure_7.ipynb
new file mode 100755
index 0000000..362fdc9
--- /dev/null
+++ b/scripts/plotting_scripts/Figure_7.ipynb
@@ -0,0 +1,316 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#load packages\n",
+ "import xarray as xr\n",
+ "import pickle\n",
+ "from scipy import stats\n",
+ "from scipy import *\n",
+ "import seaborn as sns\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import matplotlib.colors as mcolors\n",
+ "import matplotlib.cbook as cbook\n",
+ "import warnings\n",
+ "warnings.simplefilter(\"ignore\") "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 720x576 with 4 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#defining color dictionaries for plotting lines\n",
+ "def colordictionary():\n",
+ " # manually defined colors\n",
+ " mymaroon= np.array([128, 0, 0])/255\n",
+ " myred = np.array([230, 25, 75])/255\n",
+ " myorange= np.array([245, 130, 48])/255\n",
+ " mymagenta=np.array([240, 50, 230 ])/255\n",
+ " myolive = np.array([128, 128, 0])/255\n",
+ " myteal = np.array([ 0, 128, 128])/255\n",
+ " myblue = np.array([ 0, 130, 200])/255\n",
+ " mynavy = np.array([ 0, 0, 128])/255\n",
+ "\n",
+ " return {'80km': mymaroon, '40km': myred, '20km': myorange, '10km': myolive, '5km': myteal, '2km': myblue}\n",
+ "colors=colordictionary()\n",
+ "\n",
+ "##loading trajectories with traced pressure-level value\n",
+ "\n",
+ "ds1=xr.open_dataset('/work/bb1018/b380723/0.8/1m/outtrace3.nc')\n",
+ "ds2=xr.open_dataset('/work/bb1018/b380723/0.4/1m/outtrace3.nc')\n",
+ "ds3=xr.open_dataset('/work/bb1018/b380723/0.2/1m/outtrace3.nc')\n",
+ "ds4=xr.open_dataset('/work/bb1018/b380723/0.1convon/1m/outtrace3.nc')\n",
+ "ds5=xr.open_dataset('/work/bb1018/b380723/0.05convon/1m/outtrace3.nc')\n",
+ "ds6=xr.open_dataset('/work/bb1018/b380723/0.025convon/1m/outtrace3.nc')\n",
+ "ds7=xr.open_dataset('/work/bb1018/b380723/0.1convoff/1m/outtrace3.nc')\n",
+ "ds8=xr.open_dataset('/work/bb1018/b380723/0.05convoff/1m/outtrace3.nc')\n",
+ "ds9=xr.open_dataset('/work/bb1018/b380723/0.025convoff/1m/outtrace3.nc')\n",
+ "\n",
+ "\n",
+ "alltraj= (ds1[\"P\"], ds2[\"P\"], ds3[\"P\"], ds4[\"P\"], ds5[\"P\"], ds6[\"P\"], ds7[\"P\"], ds8[\"P\"], ds9[\"P\"])\n",
+ "\n",
+ "\n",
+ "a1=np.nanpercentile(alltraj[0], 25,axis=1)\n",
+ "a2=np.nanpercentile(alltraj[0], 50,axis=1)\n",
+ "a3=np.nanpercentile(alltraj[0], 75,axis=1)\n",
+ "\n",
+ "b1=np.nanpercentile(alltraj[1], 25,axis=1)\n",
+ "b2=np.nanpercentile(alltraj[1], 50,axis=1)\n",
+ "b3=np.nanpercentile(alltraj[1], 75,axis=1)\n",
+ "\n",
+ "c1=np.nanpercentile(alltraj[2], 25,axis=1)\n",
+ "c2=np.nanpercentile(alltraj[2], 50,axis=1)\n",
+ "c3=np.nanpercentile(alltraj[2], 75,axis=1)\n",
+ "\n",
+ "d1=np.nanpercentile(alltraj[3], 25,axis=1)\n",
+ "d2=np.nanpercentile(alltraj[3], 50,axis=1)\n",
+ "d3=np.nanpercentile(alltraj[3], 75,axis=1)\n",
+ "\n",
+ "e1=np.nanpercentile(alltraj[4], 25,axis=1)\n",
+ "e2=np.nanpercentile(alltraj[4], 50,axis=1)\n",
+ "e3=np.nanpercentile(alltraj[4], 75,axis=1)\n",
+ "\n",
+ "f1=np.nanpercentile(alltraj[5], 25,axis=1)\n",
+ "f2=np.nanpercentile(alltraj[5], 50,axis=1)\n",
+ "f3=np.nanpercentile(alltraj[5], 75,axis=1)\n",
+ "\n",
+ "g1=np.nanpercentile(alltraj[6], 25,axis=1)\n",
+ "g2=np.nanpercentile(alltraj[6], 50,axis=1)\n",
+ "g3=np.nanpercentile(alltraj[6], 75,axis=1)\n",
+ "\n",
+ "h1=np.nanpercentile(alltraj[7], 25,axis=1)\n",
+ "h2=np.nanpercentile(alltraj[7], 50,axis=1)\n",
+ "h3=np.nanpercentile(alltraj[7], 75,axis=1)\n",
+ "\n",
+ "i1=np.nanpercentile(alltraj[8], 25,axis=1)\n",
+ "i2=np.nanpercentile(alltraj[8], 50,axis=1)\n",
+ "i3=np.nanpercentile(alltraj[8], 75,axis=1)\n",
+ "\n",
+ "###########################################\n",
+ "\n",
+ "plt.figure(figsize=(10,8))\n",
+ "plt.rcParams.update({'font.size': 13})\n",
+ "plt.subplots_adjust(hspace = 0.6, wspace=0.3)\n",
+ "\n",
+ "ax= plt.subplot(221)\n",
+ "\n",
+ "ax.plot(alltraj[0].ntim,a2, linewidth=1, label='80km', color=colors['80km'])\n",
+ "ax.fill_between(alltraj[0].ntim,a3,a1,color=colors['80km'],alpha=0.2)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "\n",
+ "ax.plot(alltraj[0].ntim,f2, linewidth=1, label='2.5km', color=colors['2km'])\n",
+ "ax.fill_between(alltraj[0].ntim,f3,f1,color=colors['2km'],alpha=0.2)\n",
+ "\n",
+ "plt.xlabel(\"Hours since 2016-09-22:12UTC\")\n",
+ "\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1007.5)\n",
+ "plt.gca().invert_yaxis()\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "leg = plt.legend(loc='lower right', bbox_to_anchor=(1.05,-0.05), fontsize=13.7, handlelength=0, markerscale=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ " \n",
+ "plt.title('(a) Pressure level (hPa)',x=0.25, y=1.05)\n",
+ "\n",
+ "###########################################ascent velocity###############################################\n",
+ "##loading file containing traced ascent velocity binned over pressure-level\n",
+ "\n",
+ "with open(\"/work/bb1018/b380723/figures/w_1m/newcal/binmeanalltraj.pkl\",\"rb\") as f:\n",
+ " binmeanalltraj = pickle.load(f)\n",
+ "\n",
+ "a2=np.nanmean(binmeanalltraj[0][1], axis=1)\n",
+ "b2=np.nanmean(binmeanalltraj[1][1], axis=1)\n",
+ "c2=np.nanmean(binmeanalltraj[2][1], axis=1)\n",
+ "d2=np.nanmean(binmeanalltraj[3][1], axis=1)\n",
+ "e2=np.nanmean(binmeanalltraj[4][1], axis=1)\n",
+ "f2=np.nanmean(binmeanalltraj[5][1], axis=1)\n",
+ "g2=np.nanmean(binmeanalltraj[6][1], axis=1)\n",
+ "h2=np.nanmean(binmeanalltraj[7][1], axis=1)\n",
+ "i2=np.nanmean(binmeanalltraj[8][1], axis=1)\n",
+ "\n",
+ "\n",
+ "ax=plt.subplot(222)\n",
+ "\n",
+ "ax.plot(binmeanalltraj[0][0],a2, marker='o',color=colors['80km'],label='80km',clip_on=False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "\n",
+ "ax.plot(binmeanalltraj[1][0],b2, marker='o',color=colors['40km'],label='40km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[2][0],c2, marker='o',color=colors['20km'],label='20km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[3][0],d2, marker='o',color=colors['10km'],label='10km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[4][0],e2, marker='o',color=colors['5km'],label='5km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[5][0],f2, marker='o',color=colors['2km'],label='2.5km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[6][0],g2, marker='o',markerfacecolor='None',color=colors['10km'],clip_on=False)\n",
+ "ax.plot(binmeanalltraj[7][0],h2, marker='o',markerfacecolor='None',color=colors['5km'],clip_on=False)\n",
+ "ax.plot(binmeanalltraj[8][0],i2, marker='o',markerfacecolor='None',color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "\n",
+ "plt.xlim(200,1007.5); plt.ylim(-0.001,0.4)\n",
+ "plt.gca().invert_xaxis()\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "plt.title('(b) Ascent velocity (m s$^{-1}$)', x=0.31, y=1.05)\n",
+ "plt.xlabel(\"Pressure level (hPa)\")\n",
+ "\n",
+ "\n",
+ "#################################################absolute vorticity##########################################\n",
+ "with open(\"/work/bb1018/b380723/figures/av_1m/newcal/binmeanalltraj.pkl\",\"rb\") as f:\n",
+ " binmeanalltraj = pickle.load(f)\n",
+ "\n",
+ "a2=np.nanmean(binmeanalltraj[0][1], axis=1)\n",
+ "b2=np.nanmean(binmeanalltraj[1][1], axis=1)\n",
+ "c2=np.nanmean(binmeanalltraj[2][1], axis=1)\n",
+ "d2=np.nanmean(binmeanalltraj[3][1], axis=1)\n",
+ "e2=np.nanmean(binmeanalltraj[4][1], axis=1)\n",
+ "f2=np.nanmean(binmeanalltraj[5][1], axis=1)\n",
+ "g2=np.nanmean(binmeanalltraj[6][1], axis=1)\n",
+ "h2=np.nanmean(binmeanalltraj[7][1], axis=1)\n",
+ "i2=np.nanmean(binmeanalltraj[8][1], axis=1)\n",
+ "\n",
+ "\n",
+ "ax=plt.subplot(223)\n",
+ "\n",
+ "ax.plot(binmeanalltraj[0][0],a2, marker='o',color=colors['80km'],label='80km',clip_on=False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "\n",
+ "ax.plot(binmeanalltraj[1][0],b2, marker='o',color=colors['40km'],label='40km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[2][0],c2, marker='o',color=colors['20km'],label='20km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[3][0],d2, marker='o',color=colors['10km'],label='10km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[4][0],e2, marker='o',color=colors['5km'],label='5km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[5][0],f2, marker='o',color=colors['2km'],label='2.5km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[6][0],g2, marker='o',markerfacecolor='None',color=colors['10km'],clip_on=False)\n",
+ "ax.plot(binmeanalltraj[7][0],h2, marker='o',markerfacecolor='None',color=colors['5km'],clip_on=False)\n",
+ "ax.plot(binmeanalltraj[8][0],i2, marker='o',markerfacecolor='None',color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "plt.xlim(200,1007.5); plt.ylim(0,3)\n",
+ "plt.gca().invert_xaxis()\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "plt.title('(c) Absolute vorticity (10$^{-4}$ s$^{-1}$)', x=0.38, y=1.05)\n",
+ "\n",
+ "plt.xlabel(\"Pressure level (hPa)\")\n",
+ "\n",
+ "################################################potential vorticity################################################\n",
+ "with open(\"/work/bb1018/b380723/figures/pv_1m/newcal/binmeanalltraj.pkl\",\"rb\") as f:\n",
+ " binmeanalltraj = pickle.load(f)\n",
+ "\n",
+ "a2=np.nanmean(binmeanalltraj[0][1], axis=1)\n",
+ "b2=np.nanmean(binmeanalltraj[1][1], axis=1)\n",
+ "c2=np.nanmean(binmeanalltraj[2][1], axis=1)\n",
+ "d2=np.nanmean(binmeanalltraj[3][1], axis=1)\n",
+ "e2=np.nanmean(binmeanalltraj[4][1], axis=1)\n",
+ "f2=np.nanmean(binmeanalltraj[5][1], axis=1)\n",
+ "g2=np.nanmean(binmeanalltraj[6][1], axis=1)\n",
+ "h2=np.nanmean(binmeanalltraj[7][1], axis=1)\n",
+ "i2=np.nanmean(binmeanalltraj[8][1], axis=1)\n",
+ "\n",
+ "\n",
+ "ax=plt.subplot(224)\n",
+ "\n",
+ "ax.plot(binmeanalltraj[0][0],a2, marker='o',color=colors['80km'],label='80km',clip_on=False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "\n",
+ "ax.plot(binmeanalltraj[1][0],b2, marker='o',color=colors['40km'],label='40km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[2][0],c2, marker='o',color=colors['20km'],label='20km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[3][0],d2, marker='o',color=colors['10km'],label='10km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[4][0],e2, marker='o',color=colors['5km'],label='5km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[5][0],f2, marker='o',color=colors['2km'],label='2.5km',clip_on=False)\n",
+ "ax.plot(binmeanalltraj[6][0],g2, marker='o',markerfacecolor='None',color=colors['10km'],clip_on=False)\n",
+ "ax.plot(binmeanalltraj[7][0],h2, marker='o',markerfacecolor='None',color=colors['5km'],clip_on=False)\n",
+ "ax.plot(binmeanalltraj[8][0],i2, marker='o',markerfacecolor='None',color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "plt.xlim(200,1007.5); plt.ylim(-0.1,1.5)\n",
+ "plt.yticks(np.arange(-0.1,1.51,0.5))\n",
+ "plt.gca().invert_xaxis()\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.05))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "plt.title('(d) Potential vorticity (PVU)', x=0.32, y=1.05)\n",
+ "\n",
+ "plt.xlabel(\"Pressure level (hPa)\")\n",
+ "\n",
+ "leg = plt.legend(loc='lower right', bbox_to_anchor=(1.05,0.21), fontsize=13.5, handlelength=0, markerscale=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/scripts/plotting_scripts/Figure_8.ipynb b/scripts/plotting_scripts/Figure_8.ipynb
new file mode 100755
index 0000000..4cebedb
--- /dev/null
+++ b/scripts/plotting_scripts/Figure_8.ipynb
@@ -0,0 +1,305 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#loading datasets\n",
+ "import xarray as xr\n",
+ "import pickle\n",
+ "from scipy import stats\n",
+ "from scipy import *\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import warnings\n",
+ "warnings.simplefilter(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 288x1296 with 6 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#defining color dictionary for plotting lines\n",
+ "def colordictionary():\n",
+ " # manually defined colors\n",
+ " mymaroon= np.array([128, 0, 0])/255\n",
+ " myred = np.array([230, 25, 75])/255\n",
+ " myorange= np.array([245, 130, 48])/255\n",
+ " mymagenta=np.array([240, 50, 230 ])/255\n",
+ " myolive = np.array([128, 128, 0])/255\n",
+ " myteal = np.array([ 0, 128, 128])/255\n",
+ " myblue = np.array([ 0, 130, 200])/255\n",
+ " mynavy = np.array([ 0, 0, 128])/255\n",
+ "\n",
+ " return {'80km': mymaroon, '40km': myred, '20km': myorange, '10km': myolive, '5km': myteal, '2km': myblue}\n",
+ "colors=colordictionary()\n",
+ "###########################################\n",
+ "#loading total diabatic heating data and its different components traced along wcb, binned over pressure level and averaged over all trajectories\n",
+ "\n",
+ "#diabatic heating\n",
+ "with open(\"newcal/alltrajtot.pkl\",\"rb\") as f:\n",
+ " alltrajtot = pickle.load(f)\n",
+ " \n",
+ "#microphysics\n",
+ "with open(\"newcal/alltrajmphy.pkl\",\"rb\") as f:\n",
+ " alltrajmphy = pickle.load(f)\n",
+ "\n",
+ "#cloud radiative heating \n",
+ "with open(\"newcal/alltrajhrnew.pkl\",\"rb\") as f:\n",
+ " alltrajhrnew = pickle.load(f)\n",
+ " \n",
+ "#all-sky longwave radiative heating \n",
+ "with open(\"newcal/alltrajhrlw.pkl\",\"rb\") as f:\n",
+ " alltrajhrlw = pickle.load(f)\n",
+ "\n",
+ "#all-sky shortwave radiative heating \n",
+ "with open(\"newcal/alltrajhrsw.pkl\",\"rb\") as f:\n",
+ " alltrajhrsw = pickle.load(f)\n",
+ "\n",
+ "#net lonwave radiative heating \n",
+ "with open(\"newcal/alltrajhrlwnet.pkl\",\"rb\") as f:\n",
+ " alltrajhrlwnet = pickle.load(f)\n",
+ "\n",
+ "#net shortwave radiative heating \n",
+ "with open(\"newcal/alltrajhrswnet.pkl\",\"rb\") as f:\n",
+ " alltrajhrswnet = pickle.load(f)\n",
+ "\n",
+ "#convection\n",
+ "with open(\"newcal/alltrajpcon.pkl\",\"rb\") as f:\n",
+ " alltrajpcon = pickle.load(f)\n",
+ "\n",
+ "#turbulence\n",
+ "with open(\"newcal/alltrajturb.pkl\",\"rb\") as f:\n",
+ " alltrajturb = pickle.load(f)\n",
+ " \n",
+ "######################################################\n",
+ "\n",
+ "fig=plt.figure(figsize=(4,18))\n",
+ "plt.rcParams.update({'font.size': 13})\n",
+ "plt.subplots_adjust(hspace = 0.6)\n",
+ "\n",
+ "ax = fig.add_subplot(611)\n",
+ "ax.plot(alltrajtot[0][0], alltrajtot[0][1], linewidth=1, marker='o', label='80km', color=colors['80km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[1][0], alltrajtot[1][1], linewidth=1, marker='o', label='40km', color=colors['40km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[2][0], alltrajtot[2][1], linewidth=1, marker='o', label='20km', color=colors['20km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[3][0], alltrajtot[3][1], linewidth=1, marker='o', label='10km', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[4][0], alltrajtot[4][1], linewidth=1, marker='o', label='5km', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[5][0], alltrajtot[5][1], linewidth=1, marker='o', label='2.5km', color=colors['2km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[6][0], alltrajtot[6][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[7][0], alltrajtot[7][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[8][0], alltrajtot[8][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['2km'],clip_on=False)\n",
+ "leg = plt.legend(loc='lower right', bbox_to_anchor=(1.1,0.01), fontsize=12.5, handlelength=0, markerscale=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['bottom'].set_position('zero')\n",
+ "ax.tick_params(axis=\"x\", pad=15)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.xlim(200,1007.5)\n",
+ "plt.gca().invert_xaxis()\n",
+ "yticks=[0,2,4,6,8]\n",
+ "ax.set_yticks(yticks)\n",
+ "plt.ylim(-0.1,8)\n",
+ "plt.title('(a) total',x=0.06, y=1.05)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.1))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "\n",
+ "\n",
+ "ax = fig.add_subplot(612)\n",
+ "ax.plot(alltrajmphy[0][0], alltrajmphy[0][1], linewidth=1, marker='o', label='80km', color=colors['80km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[1][0], alltrajmphy[1][1], linewidth=1, marker='o', label='40km', color=colors['40km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[2][0], alltrajmphy[2][1], linewidth=1, marker='o', label='20km', color=colors['20km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[3][0], alltrajmphy[3][1], linewidth=1, marker='o', label='10km', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[4][0], alltrajmphy[4][1], linewidth=1, marker='o', label='5km', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[5][0], alltrajmphy[5][1], linewidth=1, marker='o', label='2.5km', color=colors['2km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[6][0], alltrajmphy[6][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[7][0], alltrajmphy[7][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajmphy[8][0], alltrajmphy[8][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['bottom'].set_position('zero')\n",
+ "ax.tick_params(axis=\"x\", pad=15)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.xlim(200,1007.5)\n",
+ "plt.gca().invert_xaxis()\n",
+ "yticks=[0,2,4,6,8]\n",
+ "ax.set_yticks(yticks)\n",
+ "plt.ylim(-0.1,8)\n",
+ "plt.title('(b) microphysics',x=0.21, y=1.05)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.1))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "\n",
+ "ax=fig.add_subplot(613)\n",
+ "ax.plot(alltrajhrnew[0][0], alltrajhrnew[0][1]/24, linewidth=1, marker='o', label='80km', color=colors['80km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[1][0], alltrajhrnew[1][1]/24, linewidth=1, marker='o', label='40km', color=colors['40km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[2][0], alltrajhrnew[2][1]/24, linewidth=1, marker='o', label='20km', color=colors['20km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[3][0], alltrajhrnew[3][1]/24, linewidth=1, marker='o', label='10km', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[4][0], alltrajhrnew[4][1]/24, linewidth=1, marker='o', label='5km', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[5][0], alltrajhrnew[5][1]/24, linewidth=1, marker='o', label='2.5km', color=colors['2km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[6][0], alltrajhrnew[6][1]/24, linewidth=1, marker='o', markerfacecolor='None', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[7][0], alltrajhrnew[7][1]/24, linewidth=1, marker='o', markerfacecolor='None', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajhrnew[8][0], alltrajhrnew[8][1]/24, linewidth=1, marker='o', markerfacecolor='None', color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('zero'))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.xlim(200,1007.5)\n",
+ "plt.gca().invert_xaxis()\n",
+ "\n",
+ "plt.ylim(-0.1,0.1)\n",
+ "\n",
+ "plt.title('(c) cloud radiative heating',x=0.39, y=1.05)\n",
+ "\n",
+ "\n",
+ "\n",
+ "alltrajhrnet_clearsky=[((alltrajhrlw[0][1]-alltrajhrlwnet[0][1])+(alltrajhrsw[0][1]-alltrajhrswnet[0][1])),((alltrajhrlw[1][1]-alltrajhrlwnet[1][1])+(alltrajhrsw[1][1]-alltrajhrswnet[1][1])),((alltrajhrlw[2][1]-alltrajhrlwnet[2][1])+(alltrajhrsw[2][1]-alltrajhrswnet[2][1])),((alltrajhrlw[3][1]-alltrajhrlwnet[3][1])+(alltrajhrsw[3][1]-alltrajhrswnet[3][1])),((alltrajhrlw[4][1]-alltrajhrlwnet[4][1])+(alltrajhrsw[4][1]-alltrajhrswnet[4][1])),((alltrajhrlw[5][1]-alltrajhrlwnet[5][1])+(alltrajhrsw[5][1]-alltrajhrswnet[5][1])),((alltrajhrlw[6][1]-alltrajhrlwnet[6][1])+(alltrajhrsw[6][1]-alltrajhrswnet[6][1])),((alltrajhrlw[7][1]-alltrajhrlwnet[7][1])+(alltrajhrsw[7][1]-alltrajhrswnet[7][1])),((alltrajhrlw[8][1]-alltrajhrlwnet[8][1])+(alltrajhrsw[8][1]-alltrajhrswnet[8][1]))]\n",
+ "ax=fig.add_subplot(614)\n",
+ "ax.plot(alltrajhrlw[0][0], alltrajhrnet_clearsky[0]/24, linewidth=1, marker='o', label='80km', color=colors['80km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[1][0], alltrajhrnet_clearsky[1]/24, linewidth=1, marker='o', label='40km', color=colors['40km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[2][0], alltrajhrnet_clearsky[2]/24, linewidth=1, marker='o', label='20km', color=colors['20km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[3][0], alltrajhrnet_clearsky[3]/24, linewidth=1, marker='o', label='10km', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[4][0], alltrajhrnet_clearsky[4]/24, linewidth=1, marker='o', label='5km', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[5][0], alltrajhrnet_clearsky[5]/24, linewidth=1, marker='o', label='2.5km', color=colors['2km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[6][0], alltrajhrnet_clearsky[6]/24, linewidth=1, marker='o', markerfacecolor='None', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[7][0], alltrajhrnet_clearsky[7]/24, linewidth=1, marker='o', markerfacecolor='None', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajhrlw[8][0], alltrajhrnet_clearsky[8]/24, linewidth=1, marker='o', markerfacecolor='None', color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.12))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.xlim(200,1007.5)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.ylim(-0.12,-0.04)\n",
+ "plt.title('(d) clear-sky radiative heating',x=0.45, y=1.05)\n",
+ "\n",
+ "\n",
+ "ax=fig.add_subplot(615)\n",
+ "ax.plot(alltrajpcon[0][0], alltrajpcon[0][1], linewidth=1, marker='o', label='80km', color=colors['80km'],clip_on=False)\n",
+ "ax.plot(alltrajpcon[1][0], alltrajpcon[1][1], linewidth=1, marker='o', label='40km', color=colors['40km'],clip_on=False)\n",
+ "ax.plot(alltrajpcon[2][0], alltrajpcon[2][1], linewidth=1, marker='o', label='20km', color=colors['20km'],clip_on=False)\n",
+ "ax.plot(alltrajpcon[3][0], alltrajpcon[3][1], linewidth=1, marker='o', label='10km', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajpcon[4][0], alltrajpcon[4][1], linewidth=1, marker='o', label='5km', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajpcon[5][0], alltrajpcon[5][1], linewidth=1, marker='o', label='2.5km', color=colors['2km'],clip_on=False)\n",
+ "\n",
+ " \n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['bottom'].set_position('zero')\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.xlim(200,1007.5)\n",
+ "plt.gca().invert_xaxis()\n",
+ "yticks=[0,0.5,1,1.5,2]\n",
+ "ax.set_yticks(yticks)\n",
+ "plt.ylim(-0.1,2)\n",
+ "\n",
+ "plt.title('(e) convection',x=0.18, y=1.05)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.1))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "\n",
+ "ax=fig.add_subplot(616)\n",
+ "ax.plot(alltrajturb[0][0], alltrajturb[0][1], linewidth=1, marker='o', label='80km', color=colors['80km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[1][0], alltrajturb[1][1], linewidth=1, marker='o', label='40km', color=colors['40km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[2][0], alltrajturb[2][1], linewidth=1, marker='o', label='20km', color=colors['20km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[3][0], alltrajturb[3][1], linewidth=1, marker='o', label='10km', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[4][0], alltrajturb[4][1], linewidth=1, marker='o', label='5km', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[5][0], alltrajturb[5][1], linewidth=1, marker='o', label='2.5km', color=colors['2km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[6][0], alltrajturb[6][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[7][0], alltrajturb[7][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajturb[8][0], alltrajturb[8][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.1))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')\n",
+ "ax.spines['bottom'].set_position('zero')\n",
+ "ax.tick_params(axis=\"x\", pad=60)\n",
+ "plt.xlim(200,1007.5)\n",
+ "plt.gca().invert_xaxis()\n",
+ "yticks=[-0.6,-0.3,0,0.3,0.6]\n",
+ "ax.set_yticks(yticks)\n",
+ "plt.ylim(-0.6,0.6)\n",
+ "plt.xlabel(\"Pressure level (hPa)\")\n",
+ "plt.title('(f) turbulence',x=0.18, y=1.05)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/scripts/plotting_scripts/Figure_9.ipynb b/scripts/plotting_scripts/Figure_9.ipynb
new file mode 100755
index 0000000..1cff0a6
--- /dev/null
+++ b/scripts/plotting_scripts/Figure_9.ipynb
@@ -0,0 +1,172 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import pickle\n",
+ "import cartopy.crs as ccrs\n",
+ "import cartopy.feature as cfeature"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 1080x648 with 2 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "def colordictionary():\n",
+ " # manually defined colors\n",
+ " mymaroon= np.array([128, 0, 0])/255\n",
+ " myred = np.array([230, 25, 75])/255\n",
+ " myorange= np.array([245, 130, 48])/255\n",
+ " mymagenta=np.array([240, 50, 230 ])/255\n",
+ " myolive = np.array([128, 128, 0])/255\n",
+ " myteal = np.array([ 0, 128, 128])/255\n",
+ " myblue = np.array([ 0, 130, 200])/255\n",
+ " mynavy = np.array([ 0, 0, 128])/255\n",
+ "\n",
+ " return {'80km': mymaroon, '40km': myred, '20km': myorange, '10km': myolive, '5km': myteal, '2km': myblue}\n",
+ "colors=colordictionary()\n",
+ "\n",
+ "#########################################################################################################\n",
+ "fig=plt.figure(figsize=(15,9))\n",
+ "plt.rcParams.update({'font.size': 16})\n",
+ "plt.subplots_adjust(hspace = 0.3, wspace=0.1)\n",
+ "\n",
+ "########################################################1-moment########################\n",
+ "\n",
+ "###########################################################mslp#########################\n",
+ "\n",
+ "path='/mnt/lustre01/pf/b/b380459/wcb-vladiana/'\n",
+ "pres1=xr.open_dataset(path+'nawdexnwp-80km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres2=xr.open_dataset(path+'nawdexnwp-40km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres3=xr.open_dataset(path+'nawdexnwp-20km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres4=xr.open_dataset(path+'nawdexnwp-10km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres5=xr.open_dataset(path+'nawdexnwp-5km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres6=xr.open_dataset(path+'nawdexnwp-2km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres7=xr.open_dataset(path+'nawdexnwp-10km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres8=xr.open_dataset(path+'nawdexnwp-5km-mis-0003_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres9=xr.open_dataset(path+'nawdexnwp-2km-mis-0001_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "###############################################################\n",
+ "\n",
+ "ax = fig.add_subplot(221)\n",
+ "\n",
+ "ax.plot(pres1.time,pres1.pres_msl_min_filtered/100,linewidth=1,marker='o', label='80km', color=colors['80km'], clip_on=False)\n",
+ "ax.plot(pres2.time,pres2.pres_msl_min_filtered/100,linewidth=1,marker='o', label='40km', color=colors['40km'], clip_on=False)\n",
+ "ax.plot(pres3.time,pres3.pres_msl_min_filtered/100,linewidth=1,marker='o', label='20km', color=colors['20km'], clip_on=False)\n",
+ "ax.plot(pres4.time,pres4.pres_msl_min_filtered/100,linewidth=1,marker='o', label='10km', color=colors['10km'], clip_on=False)\n",
+ "ax.plot(pres5.time,pres5.pres_msl_min_filtered/100,linewidth=1,marker='o', label='5km', color=colors['5km'], clip_on=False)\n",
+ "ax.plot(pres6.time,pres6.pres_msl_min_filtered/100,linewidth=1,marker='o', label='2.5km', color=colors['2km'], clip_on=False)\n",
+ "ax.plot(pres7.time,pres7.pres_msl_min_filtered/100,linewidth=1,marker='o', markerfacecolor='None',color=colors['10km'], clip_on=False)\n",
+ "ax.plot(pres8.time,pres8.pres_msl_min_filtered/100,linewidth=1,marker='o', markerfacecolor='None',color=colors['5km'], clip_on=False)\n",
+ "ax.plot(pres9.time,pres9.pres_msl_min_filtered/100,linewidth=1,marker='o', markerfacecolor='None',color=colors['2km'], clip_on=False)\n",
+ "\n",
+ "hour=np.arange(0,49,2)\n",
+ "mslp_era5=np.load('/work/bb1018/b380723/figures/large_scale/mslp_era5.npy')\n",
+ "ax.plot(hour,mslp_era5,linewidth=1,color='black',label='ERA5')\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "plt.xlim(0,49)\n",
+ "plt.xticks(np.arange(0,49.1,8))\n",
+ "plt.ylim(974,995)\n",
+ "plt.yticks(np.arange(975,995.1,5))\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "\n",
+ "ax.set_ylabel(\"Cyclone centre MSLP (hPa)\")\n",
+ "\n",
+ "plt.title('(a) 1-moment cloud microphysics',x=0.35,y=1.05)\n",
+ "\n",
+ "\n",
+ "###################################################2moment#################################\n",
+ "\n",
+ "###############################mslp############################################\n",
+ "path='/mnt/lustre01/pf/b/b380459/wcb-vladiana/'\n",
+ "pres1=xr.open_dataset(path+'nawdexnwp-80km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres2=xr.open_dataset(path+'nawdexnwp-40km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres3=xr.open_dataset(path+'nawdexnwp-20km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres4=xr.open_dataset(path+'nawdexnwp-10km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres5=xr.open_dataset(path+'nawdexnwp-5km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres6=xr.open_dataset(path+'nawdexnwp-2km-mis-0004_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres7=xr.open_dataset(path+'nawdexnwp-10km-mis-0004_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres8=xr.open_dataset(path+'nawdexnwp-5km-mis-0004_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "pres9=xr.open_dataset(path+'nawdexnwp-2km-mis-0002_vladiana_cyclonepressure.nc').sel(time=slice(\"2016-09-22T12:00:00.000000000\", \"2016-09-24T11:00:00.000000000\", 2)).assign_coords(time=np.arange(0,48,1))\n",
+ "###############################################################\n",
+ "\n",
+ "ax = fig.add_subplot(222)\n",
+ "\n",
+ "ax.plot(pres1.time,pres1.pres_msl_min_filtered/100,linewidth=1,marker='o', label='80km', color=colors['80km'], clip_on=False)\n",
+ "ax.plot(pres2.time,pres2.pres_msl_min_filtered/100,linewidth=1,marker='o', label='40km', color=colors['40km'], clip_on=False)\n",
+ "ax.plot(pres3.time,pres3.pres_msl_min_filtered/100,linewidth=1,marker='o', label='20km', color=colors['20km'], clip_on=False)\n",
+ "ax.plot(pres4.time,pres4.pres_msl_min_filtered/100,linewidth=1,marker='o', label='10km', color=colors['10km'], clip_on=False)\n",
+ "ax.plot(pres5.time,pres5.pres_msl_min_filtered/100,linewidth=1,marker='o', label='5km', color=colors['5km'], clip_on=False)\n",
+ "ax.plot(pres6.time,pres6.pres_msl_min_filtered/100,linewidth=1,marker='o', label='2.5km', color=colors['2km'], clip_on=False)\n",
+ "ax.plot(pres7.time,pres7.pres_msl_min_filtered/100,linewidth=1,marker='o', markerfacecolor='None',color=colors['10km'], clip_on=False)\n",
+ "ax.plot(pres8.time,pres8.pres_msl_min_filtered/100,linewidth=1,marker='o', markerfacecolor='None',color=colors['5km'], clip_on=False)\n",
+ "ax.plot(pres9.time,pres9.pres_msl_min_filtered/100,linewidth=1,marker='o', markerfacecolor='None',color=colors['2km'], clip_on=False)\n",
+ "\n",
+ "hour=np.arange(0,49,2)\n",
+ "mslp_era5=np.load('/work/bb1018/b380723/figures/large_scale/mslp_era5.npy')\n",
+ "ax.plot(hour,mslp_era5,linewidth=1,color='black',label='ERA5')\n",
+ "\n",
+ "leg = plt.legend(bbox_to_anchor=(0.97,0.78), handlelength=0, markerscale=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ "\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "plt.xlim(0,49)\n",
+ "plt.xticks(np.arange(0,49.1,4))\n",
+ "plt.ylim(974,995)\n",
+ "plt.yticks(np.arange(975,995.1,5))\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "\n",
+ "plt.title('(b) 2-moment cloud microphysics',x=0.35,y=1.05)\n",
+ "\n",
+ "\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/scripts/plotting_scripts/Supp_Figure_1.ipynb b/scripts/plotting_scripts/Supp_Figure_1.ipynb
new file mode 100644
index 0000000..614632f
--- /dev/null
+++ b/scripts/plotting_scripts/Supp_Figure_1.ipynb
@@ -0,0 +1,267 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "from scipy import stats\n",
+ "from scipy import *\n",
+ "import seaborn as sns\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import matplotlib.colors as mcolors\n",
+ "import matplotlib.cbook as cbook\n",
+ "import warnings\n",
+ "warnings.simplefilter(\"ignore\") "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ds1=xr.open_dataset('/work/bb1018/b380723/0.8/1m/outtrace2.nc')\n",
+ "ds2=xr.open_dataset('/work/bb1018/b380723/0.4/1m/outtrace2.nc')\n",
+ "ds3=xr.open_dataset('/work/bb1018/b380723/0.2/1m/outtrace2.nc')\n",
+ "ds4=xr.open_dataset('/work/bb1018/b380723/0.1convon/1m/outtrace2.nc')\n",
+ "ds5=xr.open_dataset('/work/bb1018/b380723/0.05convon/1m/outtrace2.nc')\n",
+ "ds6=xr.open_dataset('/work/bb1018/b380723/0.025convon/1m/outtrace2.nc')\n",
+ "ds7=xr.open_dataset('/work/bb1018/b380723/0.1convoff/1m/outtrace2.nc')\n",
+ "ds8=xr.open_dataset('/work/bb1018/b380723/0.05convoff/1m/outtrace2.nc')\n",
+ "ds9=xr.open_dataset('/work/bb1018/b380723/0.025convoff/1m/outtrace2.nc')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Creating data for 2-d histograms of WCB air parcels in terms of their pressure location and time\n",
+ "#segregating wcb parcels common to each bin of pressure level (of 10hPa between 1000 and 200 hPa) and time interval (1 hourly)\n",
+ "\n",
+ "plist=np.arange(1000,190,-10)\n",
+ "tlist=np.arange(0,50,1)\n",
+ "\n",
+ "trajds1=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds1.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds1.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds1[j,i]=len(np.array(ds1.P[tlist[j]:tlist[j+1],:].where(((ds1.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds1.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ " \n",
+ "trajds2=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds2.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds2.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds2[j,i]=len(np.array(ds2.P[tlist[j]:tlist[j+1],:].where(((ds2.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds2.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ "\n",
+ "trajds3=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds3.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds3.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds3[j,i]=len(np.array(ds3.P[tlist[j]:tlist[j+1],:].where(((ds3.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds3.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ " \n",
+ "trajds4=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds4.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds4.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds4[j,i]=len(np.array(ds4.P[tlist[j]:tlist[j+1],:].where(((ds4.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds4.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ " \n",
+ "trajds5=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds5.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds5.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds5[j,i]=len(np.array(ds5.P[tlist[j]:tlist[j+1],:].where(((ds5.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds5.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ " \n",
+ "trajds6=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds6.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds6.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds6[j,i]=len(np.array(ds6.P[tlist[j]:tlist[j+1],:].where(((ds6.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds6.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ " \n",
+ "trajds7=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds7.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds7.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds7[j,i]=len(np.array(ds7.P[tlist[j]:tlist[j+1],:].where(((ds7.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds7.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ " \n",
+ "trajds8=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds8.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds8.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds8[j,i]=len(np.array(ds8.P[tlist[j]:tlist[j+1],:].where(((ds8.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds8.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())\n",
+ " \n",
+ "trajds9=np.full((len(tlist),len(plist)), np.nan)\n",
+ "for i in range(0,len(plist)-1):\n",
+ " for j in range(0,len(tlist)-1):\n",
+ " if any(np.array((ds9.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds9.P[tlist[j]:tlist[j+1],:]<=plist[i])))==True:\n",
+ " trajds9[j,i]=len(np.array(ds9.P[tlist[j]:tlist[j+1],:].where(((ds9.P[tlist[j]:tlist[j+1],:]>=plist[i+1]) & (ds9.P[tlist[j]:tlist[j+1],:]<=plist[i])), drop=True)).ravel())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 936x648 with 10 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#plotting\n",
+ "\n",
+ "fig=plt.figure(figsize=(13,9))\n",
+ "plt.rcParams.update({'font.size': 13})\n",
+ "ax=plt.subplots_adjust(hspace = 0.4, wspace=0.2)\n",
+ "\n",
+ "\n",
+ "ax=plt.subplot(331)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds1.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('80km', x=0.1, y=1.05)\n",
+ "ax.set_ylabel(\"Pressure level (hPa)\")\n",
+ "\n",
+ "ax=plt.subplot(332)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds2.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('40km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(333)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds3.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('20km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(334)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds4.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('10km', x=0.1, y=1.05)\n",
+ "ax.set_ylabel(\"Pressure level (hPa)\")\n",
+ "\n",
+ "ax=plt.subplot(335)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds5.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('5km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(336)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds6.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "plt.xticks(color='w')\n",
+ "plt.yticks(color='w')\n",
+ "plt.title('2.5km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(337)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds7.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "plt.title('10km EC', x=0.27, y=1.05)\n",
+ "ax.set_ylabel(\"Pressure level (hPa)\")\n",
+ "ax.set_xlabel(\"Hours since 2016-09-22:12UTC\")\n",
+ "\n",
+ "ax=plt.subplot(338)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.pcolor(tlist,plist,trajds8.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('5km EC', x=0.27, y=1.05)\n",
+ "ax.set_xlabel(\"Hours since 2016-09-22:12UTC\")\n",
+ "\n",
+ "ax=plt.subplot(339)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "cf=plt.pcolor(tlist,plist,trajds9.transpose(),norm=mcolors.LogNorm(1,3000),cmap='viridis')\n",
+ "plt.xticks(np.arange(0,49,8))\n",
+ "plt.xlim(0,48); plt.ylim(200,1025)\n",
+ "plt.gca().invert_yaxis()\n",
+ "plt.title('2.5km EC', x=0.27, y=1.05)\n",
+ "ax.set_xlabel(\"Hours since 2016-09-22:12UTC\")\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "\n",
+ "# colorbar\n",
+ "cbar_ax = fig.add_axes([0.82, 0.2, 0.02, 0.5]) # left,bottom,width,height\n",
+ "cb = fig.colorbar(cf, cax=cbar_ax, orientation='vertical')\n",
+ "cb.set_label('WCB parcels count', fontsize=14, labelpad=5)\n",
+ "cb.ax.tick_params(labelsize=14)\n",
+ "fig.subplots_adjust(right=0.8, wspace=0.15, hspace=0.5)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/plotting_scripts/Supp_Figure_2.ipynb b/scripts/plotting_scripts/Supp_Figure_2.ipynb
new file mode 100755
index 0000000..57198e2
--- /dev/null
+++ b/scripts/plotting_scripts/Supp_Figure_2.ipynb
@@ -0,0 +1,234 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import xarray as xr\n",
+ "import pickle\n",
+ "from scipy import stats\n",
+ "from scipy import *\n",
+ "import seaborn as sns\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import matplotlib.colors as mcolors\n",
+ "import matplotlib.cbook as cbook\n",
+ "import warnings\n",
+ "warnings.simplefilter(\"ignore\") "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Creating data for 2d histograms of WCB air parcels in terms of their 1-hour pressure changes\n",
+ "#Calculating 1-hour pressure changes for every time step from one time step forward\n",
+ "\n",
+ "ds1=xr.open_dataset('/work/bb1018/b380723/0.8/1m/outtrace2.nc')\n",
+ "ds2=xr.open_dataset('/work/bb1018/b380723/0.4/1m/outtrace2.nc')\n",
+ "ds3=xr.open_dataset('/work/bb1018/b380723/0.2/1m/outtrace2.nc')\n",
+ "ds4=xr.open_dataset('/work/bb1018/b380723/0.1convon/1m/outtrace2.nc')\n",
+ "ds5=xr.open_dataset('/work/bb1018/b380723/0.05convon/1m/outtrace2.nc')\n",
+ "ds6=xr.open_dataset('/work/bb1018/b380723/0.025convon/1m/outtrace2.nc')\n",
+ "ds7=xr.open_dataset('/work/bb1018/b380723/0.1convoff/1m/outtrace2.nc')\n",
+ "ds8=xr.open_dataset('/work/bb1018/b380723/0.05convoff/1m/outtrace2.nc')\n",
+ "ds9=xr.open_dataset('/work/bb1018/b380723/0.025convoff/1m/outtrace2.nc')\n",
+ "\n",
+ "a=xr.full_like(ds1.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " a[i,:]=-(ds1.P[i+1,:]-ds1.P[i,:])\n",
+ " \n",
+ "b=xr.full_like(ds2.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " b[i,:]=-(ds2.P[i+1,:]-ds2.P[i,:])\n",
+ " \n",
+ "c=xr.full_like(ds3.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " c[i,:]=-(ds3.P[i+1,:]-ds3.P[i,:])\n",
+ " \n",
+ "d=xr.full_like(ds4.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " d[i,:]=-(ds4.P[i+1,:]-ds4.P[i,:])\n",
+ " \n",
+ "e=xr.full_like(ds5.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " e[i,:]=-(ds5.P[i+1,:]-ds5.P[i,:])\n",
+ " \n",
+ "f=xr.full_like(ds6.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " f[i,:]=-(ds6.P[i+1,:]-ds6.P[i,:])\n",
+ " \n",
+ "g=xr.full_like(ds7.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " g[i,:]=-(ds7.P[i+1,:]-ds7.P[i,:])\n",
+ " \n",
+ "h=xr.full_like(ds8.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " h[i,:]=-(ds8.P[i+1,:]-ds8.P[i,:])\n",
+ " \n",
+ "ii=xr.full_like(ds9.P, np.nan)\n",
+ "for i in range(1,48,1):\n",
+ " ii[i,:]=-(ds9.P[i+1,:]-ds9.P[i,:])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 936x648 with 10 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#plotting\n",
+ "\n",
+ "fig=plt.figure(figsize=(13,9))\n",
+ "plt.rcParams.update({'font.size': 14})\n",
+ "ax=plt.subplots_adjust(hspace = 0.5, wspace=0.2)\n",
+ "\n",
+ "\n",
+ "ax=plt.subplot(331) \n",
+ "plt.hist2d(ds1.P[1:-1].values.ravel(), a[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "plt.ylabel(\"ΔP_1h (hPa)\")\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('80km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(332) \n",
+ "plt.hist2d(ds2.P[1:-1].values.ravel(), b[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('40km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(333) \n",
+ "plt.hist2d(ds3.P[1:-1].values.ravel(), c[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('20km',x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(334) \n",
+ "plt.hist2d(ds4.P[1:-1].values.ravel(), d[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "plt.ylabel(\"ΔP_1h (hPa)\")\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "plt.title('10km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(335) \n",
+ "plt.hist2d(ds5.P[1:-1].values.ravel(), e[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('5km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(336) \n",
+ "plt.hist2d(ds6.P[1:-1].values.ravel(), f[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "ax.axes.xaxis.set_ticklabels([])\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('2.5km', x=0.1, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(337) \n",
+ "plt.hist2d(ds7.P[1:-1].values.ravel(), g[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "plt.ylabel(\"ΔP_1h (hPa)\")\n",
+ "plt.xlabel(\"P at start of ΔP_1h (hPa)\")\n",
+ "plt.title('10km EC', x=0.25, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(338) \n",
+ "cf=plt.hist2d(ds8.P[1:-1].values.ravel(), h[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "plt.xlabel(\"P at start of ΔP_1h (hPa)\")\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('5km EC', x=0.25, y=1.05)\n",
+ "\n",
+ "ax=plt.subplot(339) \n",
+ "plt.hist2d(ds9.P[1:-1].values.ravel(), ii[1:-1].values.ravel(), bins=80, norm=mcolors.LogNorm(vmin=1, vmax=10000),cmap='viridis')\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "plt.gca().invert_xaxis()\n",
+ "plt.yticks(np.arange(-200,700,200))\n",
+ "plt.xlim(1025,200); plt.ylim(-200,600)\n",
+ "plt.xlabel(\"P at start of ΔP_1h (hPa)\")\n",
+ "ax.axes.yaxis.set_ticklabels([])\n",
+ "plt.title('2.5km EC', x=0.25, y=1.05)\n",
+ "\n",
+ "# colorbar\n",
+ "cbar_ax = fig.add_axes([0.94, 0.25, 0.015, 0.5]) # left,bottom,width,height\n",
+ "clb=plt.colorbar(cax=cbar_ax, orientation='vertical')\n",
+ "clb.set_label('WCB parcels count')\n",
+ "plt.savefig('colorbar_delp1hvsP.png', bbox_inches = 'tight', dpi=600)\n",
+ "\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/scripts/plotting_scripts/Supp_Figure_3.ipynb b/scripts/plotting_scripts/Supp_Figure_3.ipynb
new file mode 100644
index 0000000..8bf1abd
--- /dev/null
+++ b/scripts/plotting_scripts/Supp_Figure_3.ipynb
@@ -0,0 +1,126 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#importing libraries\n",
+ "import xarray as xr\n",
+ "import pickle\n",
+ "from scipy import stats\n",
+ "from scipy import *\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "import warnings\n",
+ "warnings.simplefilter(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#loading dataset containing DHR averaged over trajectories, this trajectory run is based on input data regridded to 40km/ 0.4 degree\n",
+ "with open(\"/work/bb1018/b380723/figures/dhrcomp_1m/newcal_0.4/alltrajtot.pkl\",\"rb\") as f:\n",
+ " alltrajtot = pickle.load(f)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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RQojDQojDgAsqKirPPSURmRTD9x9SypNSymxgOsrWKM2MA0op50opGxqaSXGoqKg895Rkc7ckIJyi+0zUfhQVlTJG6nTEdnib+KFTANAnpHDr5Y+JaT6KWy9/jD4xFYD0pdtJ+uinx56/kg5hzwGGCyFqCCFMgA+ATGB/qeVMRUWlRKT9tg6TKhXyjlN/WI55izq47fsV8xZ1SP1h+V1ilz4lnfH7Fcq2tDsBC+AY0MVQy1FRUSkjdFFxZO0Iwebtl0mbuwaAzK0HcV45HQDL/u241ee/2H08PF+8zO0hpH6/BKf5n3Cz1qD53MXUg0fUhmEPk8cS1WSkwidSynJSSgcpZRsp5fGHObGKisrDkzx5LnYfjwDNnVFofVwiWncnALTuTuhvJeaLk7l5P6k/LMdp4RQ0zva3nYs19RBd/qW6D5NHdYGkispTSua2Q2hcHDCtXbnEcbL3h5L640qcFn6KxsHG2Gu9R9SGPFMPHlEbQj2iNjwSUw/qAkkVlaeU7JAzZP5zkKwdh5FZ2ehTMkh46ys0Lg7obsajdXdCdzMejbNDXhyttzu6iJvkXr6OWZ0qxsmpph5UVFTyY/fRMNyPLMDt0O84/DQe8xa1cfzhfSw6NiZj2Q4AMpbtwKJT47w4Wi83HH/7iKS3vyHn/NXHkk9VZFRUnjFs3upLVtAxYpqPIivoGDZv9cvnb1LZC4cf3idx9Axyw6NLPT+qqYfnlNDQxQQFTSMu7iwuLtVp2XIitWoNKOtsqZQNpbp2Se2TeQ4JDV3Mzp0T6d59Ht7eLYiI2Mu6dSMBHonQqAKmYowqMs8hQUHTaNRoLBcvbuLSpc2Ym9tTtWo3tm37AHNzW8zN7bGwcMDCwh5zc3vMzW0RomQt69IWMJWnD1VknhOk1BMRsZfTp5cRG3uakycXUq1aT7Rac7KyksjNzSQlJYrDh38iMzOJzMxEsrKSyMxMIicnDTMz2zzhsbBwyBOigoK0Z89UGjV6CzMza7KzU6lYsQ3du89j8+axqsg8p6gi8wwjpZ7IyGBOn17G2bMrsLJyJSCgP05OVejY8WsqVmyTF/bKlV1ERu5j4MCNhdLR63VkZSUbCU9iISFKSYkmLu4cycmRhIVt5cyZ5cTHX6JmzYE0ajSWuLizj7PoKk8Qqsg8Y0gpuX79IKdPL+PMmeVYWDhQo0Z/hg7diYuLPwAODhVZt25koSZN27bTikxTo9FiaemIpaVjkf7GXLt2gJYtP6ZixTakpERz6NAP/PZbY8zMbLh27QBeXk0eaXlVnnzU0aVnACklUVGHOX16KWfOLMfU1IqAgJcJCOiPq2vRVlJnbvqF74+e54bOlnLaFMbV9+fDrq8/dF6K7pMZgbd3KyIi9mBn50XTpu/j79+txP08KqVOqY4uqSLzlCKl5MaNY5w6tZQzZ5ah0ZgSEPAyNWu+jKtrAEIU/79ZHBrKxJ07mde9Oy28vdkbEcHIdeuY1rYtA2rVeui8FTe6pNfncvbsKvbvn0VWVjJNm/6H2rWHYGpq+dDnfF7RJ90ge+0kZOotEAKT+n0wbTwQmZFE1soPkUlRCPvymPf5EmFpR+6JdeijzmDWJZ8lXVVknkeKelBr1nyFmzdPcPr0Mk6fXgZAQEB/AgJext299l2FBRRhupacTMs//qCTnx9CCPwcHQn09CQ1O5sJ27dzasyYUi+blJKrV/cQHPwV168fIjDwTQIDx2BlpRpTvF9kSiwyNQ6NR3VkVhqZvw3EvP835J5Yj7C0w7T5CHL2/Y7MSMGs/bgyERm1T+YJxLjJUaFCc06eXMimTWP455/3MDGxoEaN/vTrt4xy5eoVKywxaWmcionhVEwMp2NiOBUby6mYGCxNTLiZlkZ4kiWhMbbcSJNYmFwlV3eRHF0sQ1evJrB8eRqWL0/dcuWwNDV95OUTQuDr+wK+vi8QG3uG4OBvmD27CjVrDqRp03dxcir5gr/nHWHrirB1VX6bW6NxqYhMiUV3fjcWQ38FwKR2NzL/HAXtx+WLq7sYRE7Qr+ivh7qgmHMp1tyD1aRjwx40j6rIPIEEBU2DWtPptPYQl5J2465Jor9HX/zSdzJ27KV8wpKYmcnpmBhOG0Tk9idHr6emmxs1XV2p7e7OwFq1CHBzw8XKigrfLiY01p5FvavSooIteyNTGLjKCr3eklY+PoRcv84fx49zLi4OfxeXPNEJLF+emm5umGq1j6ysrq416N79N9q2/ZyDB2fz229N8PV9gWbNPlA7ie8TfWIU+hvn0XjWRKbduiM+tq7I9Ph8YXPP7ST3wF+YD/gBYWkXlz61Htwx99AdxdxDc5RtkELSp9arazXp2PEHyZcqMk8gu2I1BKddpJt+NRsGz+SaqMTIdeuolHQB+xMnFCExiEpCRgY1XF0VQXFz46WqVanp5oaHjU3xzSfhh9SdIjXLCSmtQcaDPIWZSQCv1a/Pa/XrA5CZm8uJGzcIiYpiX2Qk3x88SHhiIrXd3Wno4UGgpyeB5cvj7+KCxuhci0NDmRYUxNm4OKq7uDCxZct79vXY2JSjXbtptGz5X44d+4OVKwdga+tJs2bv4+/fXe0kvgcyO52s5e9j2vF9hLnNXcPqwkPQR5/BfNCcgmHXW006JtOn1gsFblpNOhYKkD613m1zD8cfJG+qyDyBBGna0FO/ko6dvmd8SBSnYs5wPSWZa7xAucuXqenqypiGDanp5oaPg0O+B7w4pJRcTshiT0QK11MkLpY16LEsBimjsDFLp7NfbVadzyU1W4eNmVJTsTAxobGXF429vPLSScnK4mh0NCFRUWy6eJEp//5LbFoa9T08CCxfnmydjtXnzjG/Rw9a+vjkdSoDJepUNjOzoXHjsQQG/h9nz64iKGga27aNp2nT/1CnzlBMTS3VZQsFkLocspa/j0mtLphUbweAsHZGpsQqtZiUWISVU1544eiFTLiG/tZVtOUDjJMqFXMP9xVRKK+TvSjttApSymsPemKVwkgp2b37U2L0DqRiz6ite5nVoRNvVbPl2K5xTEgewqLevUuUll5KzsRmsCcihT1XkwmKTEEArbztKGdjyrQ2Xrxax5XolByCr6Ww9MwtzLVJuH9zlKpOFjT1sjF8bPFzNM+rFdmam/OCry8v+PrmnetWejqHo6I4HBXFzH37MNNq6b9iBZ0qV+a9Jk2Y1707Yzdvvq+RK43GhICA/tSo0Y+IiCD275/F7t2f4O3diqioEHr0+ENdtoDyn8lePwWNS0VMmwzJc9f6v0DuyfWYNh9B7sn1aP1b5/lp7D0waf8uWcvfw7zPLDRufqWax/tVp3eB9NLIyPOOlHq2bHmHiIgg3K0HsjG7HWNsNhK5YRIZLtVxqvNfqp/LKjZ+rl5y7EYae66mEBSRQlBkCk6WWlp529GlsgPT21bA10ERi8Wn4pi46xq+Dua0qGCLs5UJR6LTmdetIr2rOXHsRhrB11JZdyGR/+6MJFsn8wSnqZcNDT2ssTa70y/jbGVFp8qV6VS5Mp/s3s2t8eOJTU9nyalT9Fq6lIqOjpyNi0MvZYlqXcYIIfDxaYWPTytiY8/y++/N0OlyOHt2JV5eTZ77ZQv6yOPoQjci3KqQMfdlAMzavIVps+FkrfyQ3ONrEHYemPf9Ml88jYsv5j2/IGvlB8i4K6WqMiUewhZCVAU2A31QDInftSajDmGXHJ0uh3XrRpKQcIWwChOZd+IUOXp37CyqE5Gsw9tOS1r2Ob7vVCevNpCZq+fQ9VSCIlLYE5FC8LUUfB3MaeVtRytvW1p62+Jha1bsOd/cfIVfj8aSo5eYagSj6rvyY5eKRYaNTMoi+FoqwddTCb6WQmhMBtWcLfJEp6mXDRUNAlZzzhx6VmvDmgs5nI1TwlVxSmTrpb1UdHDgP02bMqh2bSxMHqz2/dlnWsaNC2fr1neRUk+/fsuRUs+0aRZ88onugdJUeQLmyRiaSXuAb4CjwBVUkXkk5OZmsmLFy+Tk5rDXbjSHb8QwqsGLfLL7OtYm57iadBUfex9Sc6rxWr1yaDWCPREpHI1OI8DVklY+drSsYEsLb1ucLEv24C4KjWP0xiuk5+jz3KxMNcx9sSKDat17rkpmrp6j0UptJ/haCsHXU9HpoYmnDTHpyRy6nsG01q6MbeTHz0cu8+GOG7zewI7e1Rz4av9+jt24wVuBgbzRsCHOVlb3db3mzKlJly6zqVChGYsWdcbNrRb+/j3ZsuVtxow5dV9pqeTxRIjMu0BzKWVfIYQvxYiMEGI0MNpw6CKl9L2PvDx3IpOVlcKSJT0ws3RnJT1JyMxi9csv0+yP88zu7IOnrRm/HI1hz9UUTsWko9EI3mtcjlY+djT1ssnroL1fvL8/RmRydiF3VysTtg+ujre9Gfbm2ntO7ruNlJKIpGyCr6Xy5pYr6PW5JGbpQSagFTd4sUp1whJtOPVGbQBOxcTwTXAwa86dY1CtWrzbtCmVHO+9LgryzyFyc6vJr782Ijs7mS5dfngum0uPiLIVGSFEZWA30FBKeeNuIlMgnlqTuQvp6XEsWtQFe7eG/JLYBCcrK/7q1QtzExO0nx9k0wB/hq4NY3Q9Nzr5OVDX3RL7WUfQfdz43okXgV5K/r2azIITcSw4WfwOwgGullxNykIAFezM8bY3w9veHG87M7ztzfLcvOzMMNMWHlbWTD2IhYkgI/fO7bz9D86Z2Ait0dYd0SkpzD50iLlHjtCmYkXeb9o030hWcRiPLjk5VSY9PY6uXX+kZs1XSnw9VPJR5iIzDPiFO3tia1Am7SQAH0sp5xQTTxWZYkhOvs5ff3XE1bc7M65VJLB8eX7s2hWtRnloPb87SnqOjtX9/GntawfArvAkxm65mlcbKCmXEzINwhKLnbmW4XVc+eZANNdScgqF9bE3I/ztekgpScrSEZGUTWRyFhFJ2UQkZRGRnJ3nFpWSg4uVST7h8bYz5z/brqIr4k4KwM/JnA+almdobRcsTO4IVGp2Nr8fO8a3Bw7gZWfH+02b0s3fv8SdxDdvnuTPP9vTr99yfH1fuK/rowI8ASJjBTgZOXkBwUAgcE5KmVpMPFVkiiA+/hILF3agfMDrTDxrzYCaNfm0dWuEEOil5KOdkcw/EYupVsOfPSrlzcgduf4K09p4MaDmvftMUrJ0rDgbz/wTsZyJy2BgTWeG1XalbjkrhBAsCo1jxPowso36Sc208Hs3vxL1yQDo9JLo1GyDABnEKDmbH0JuFhvn36HVmbk/mmM30hjXqBxvNHDD3uJOP1KuXs+qs2f5av9+EjMz+U/TpgytU6dESxsuX97BqlUDGTp0J25uAfcMr5KPsl27JKVMx2jY2rAXNsCN4gRGpWhu3jzJokVd8Kw3kXePZTKhRWPeatQIgPQcHUPWhBGbnsupN2qz7bJSczkbl0F1F8t7Cszt5tD8E3GsPZ/ACz62vNO4HC9WcSiiWRON1J8C6Yey63AmUh8GWAElExmtRuBlZ46XnTnN7mzDzOJTMdzKKPy+0Ao4Ep3GvG4ViUnL5cv9UVT64QSj6rnyTuNylLMxw0SjoX9AAP1q1CAoIoKv9u/nk927GdOwIWMCA3G1tlbOUeSM4nZ06PAVf//dlZEjg7G1LV+icqiUPuoq7MdEZGQwS5f2xD1wJu+HxPF95868UrMmANEp2XRfeoFqLhb89lIlzE1KPoU+LD6TP08qzSF7cxOG13VhYE0X3KyLf/t7f/stkcnJhdzNtVoCPT0RkNfpe/u38Td3cdt2OQ2dDABh9P6SuVhrI+hbsxFrLyTQxNOGIbVcqFvOip+OxLAoNI5+NZz5oKkHlZ0s8uXpXFwc3wQHs/zMGV4JCKCKszM/HDpUrJmKoKDpnD69lOHD92Bublfi6/i0snbtCC5c2IC1tVve6FpGRjwrVrxMYmI4Dg6+9O27DEtLR44fn09U1GG6dv2hYDJlP7r0QAmrIpNHWNg/rFo1GLvA75kUco2/evemo58y/yn0ZjovLT3Pa3Xd+Lhl+RKN6KRk6Vh+9hbzT8RxLi6DgTVdGFbHhbrlrO8aLzwxkZ8PH2bmvn1F+gtg97Bh3P5PSJSRI+Nv7uKml5KXFv8NlAdRldu1JOQFIIotgwbT2NObTZeSWRgaR/C1VHr4O/JSFQeO30hn7rEY2vjY8WHz8jTwyF+Wm6mp/BgSwhdBQTT28uLL9u1p7u0NwK4rVxi7eTOnxoxBSsnGjWNISLjEwIEb0WqLnyv0LHD16h7MzGxYvXponshs2zYeS0snWrSYwN69M8jISKBDh5llJjLq2qVS5syZFWzcOAZN/R+YfDiCDQMH0sjTE4DNlxJ5dW0Y33fyKdQUWhQax8RdkUQkZeNtb8bnbbwob2PG/BNxrLuQQGsfO95rXI6uRTaH7qCXkm1hYfwYEsL+yEiG1qmDq4WW2MzCE9fczMGHq2Rlp5CdnUq24TsrKyXvd1FuWVnJZGcpv+0ZSxICZP5NwyzI5NPdu7gQn0B3f3/ealidn7sGsOpcItP3RRGTlsOgms6YagQ9l12gmrMFE5qXp62vHUII3G1s+KxNG6YFBTEgIIBXVq5kbKNGjG/enBbe3pyNU0bMhBB07foDy5b1Zv36UfToMb/EQ/FPIz4+rUhMDM/ndv78Wl59dTcAdeq8yoIFrenQYWa+MBcubCQo6HMGDFjPrFmu87mLmYfJk+Wwh8mjKjKlyLFjv7Nz58ek1PqRBaHX2T1sGNVcFDH5MeQGn++NYk3/qjSrYJsvXsHJcleTshm65jIV7Ex5r0l5vu7gjetdmkMACRkZzD9+nDmHD2NjZsabgYEs7tMHazMzbhz7nBW0Ioc7b3lTsmmRtZGdO3dgZmaDubktpqbKt5mZLZYWjtib2mNqmoGpNhVTfTIm2fGYZcZhmmmGmUN9LFwqcv7sLpbxYqG0X2IT9aPOYm4bQHhsOz6LvsKFpCxeqlqVT1pWp4KdD8vPJrLo1C0cLbQ4W5rwxsYr2FuYMKGZB72qOaHVCKq7uBDg5saBkSNpv3AhqdnZtPbxobrLHZHWaLT06bOYBQvasmvXJNq2/fyh7+XTRGrqTWxtPQCwtfUgLS0mn//Zs6s5cOAbBg7cZGy3uVgzD1OmiLqTJ8vjD5ofVWRKif37v+bgwdlcqfItO8Ni2DdiBF52duj0kve2XeWfsCT2DatBJUeLQnEn7orMNxsXlKaLEIJxjcvd9bzHoqOZExLCirNn6VqlCgt69qSplxdS6rl4cSOHDs3GP2sv3UhiB+1Iwh57kmjHDmpximH949DfCkfeuor+VgTyVjj6+NPIxCiEtRPC2QeNsw+iXGPl29kXTOzRxyWjv3mLcSfWkWW2nm1GaXdgB+OzUwkYsoUrp5ZzJWIz/qnhRGFBdNgLfB5ei4uZFnSpUpWv21fHxqwcK84mEZueg42Zlv/ujGTCzkjGNyvPB81a0GPpXtJz/dDpGzB1bzoz9u1mfo+W+a6DqakVAwas5/ffm2FnV4GGDR/efvGzQHj4LqKiDjNkyD8F+6zWT54s5ZQpIhS4OXmyDAWYMkU8lJkHUEXmkSOlZNeuSZw6s4oQz2lciU0laPhwnK2sSMnSMWD1JTJz9QSPCMDBoujLH5FUeDbu3dyzcnNZceYMP4aEEJmczBsNGnDuzTdxt7EhIyOB4OCvCQmZg7W1K40ajSX2chC1CaU2ofnSscOUjJ96K+Lh5IOw80R4NEfj3Aldmhn62BR0V+LRH4hHd/MU+pt70N2MR2Zlo3V3QuPmhG+iD+PbXKGZ5keSycEOU1roy+MbVBGTHh7U6PUjAVotMjudpPM7uHxqOVeu/c2p7FucPlOdLy42IEznQruKPnzfsQF6XFl+JpE9ESlM+fcatzJyydJVBv1Z4BpID3JEFaYFRfByQEDeXCMAa2tXBg3azB9/tMTOzpOqVV96sJv6lGFj405KSjS2th6kpERjbe2W5+foWImEhMvcunWB8uXzdZmWipkHHjaySn6k1LNp01iuXAthi/14yIHtQ4ZgbWZGZFIW3ZZeILC8NXO6+GJaTD9KSFQqGkGRE9q87fN3YkYkJfHL4cPMO3aMWu7ufNCsGd38/THRaLh5M5T1u2Zz5sxyqlZ9ib59l+Dp2UgxMI07/xBJrlFfuwmCFniQEdIC/c14dDfPIzNOonVzQuPuhLacExp3Z7TujphU9VZEpZwTWjcnhIMNUq8n+do1Ypu8RkUqUr2JC8JGh0zVknnAlrRLFvDfOejjEjHv2BiLLk2xb96Z+rW6UR/olZlK3Jn1hJ1eSej1LfxzyY5ZYbW4TAWaOlswtXlrsjTe/HdnFKABTQBgmA8jdZy9BUPXrGF+jx75LPc5OVXm5ZfXsHjxSwwcuBFPz0YPeZeffKpW7c6JEwto0WICJ04swN+/R56fvb0PHTp8xdKlvejXb/ljmVOkiswjQqfLYe3aYUQn3OBv7Sj8bOz5vXt3TLVajkSn0WPpecY1Ksf7TT2K7YhceDKW97ZFMDbQnbnHYgstYJzWpgJSSrZfvsyPISEERUQwuFatvL4evT6Xc+dWc+jQbOLjL9KgwRu8+eY5bGzc0d+6Svbm6eSe2kwNnTNCC0FE59U2WuJBtTRXTP+vl0FMnBCOtvnyqsvOJjE8nPiwMOJP7iVhdRjxly4Rf+kSieHhWDk745YIrS7UIufSndGhHH0uQcknGbxjM7lXosjceoDU75eROGYW5q3rY9G5CebtAnGrPwC3+gNoCozMSOT68aWcPLORtdEJzN15mnAqgugGBa+f0CKlBUmZmfRbvpwlffvmW+Xt5dWY7t3nsWRJD4YP34uTU+naT3mcrFw5gPDw3aSnx/HNN160bj2FFi0msGJFf44dm4e9vTf9+i3PF8fFxZ/evRexfHk/BgxYX+p5VIewHwLjNTSmptZo7ANYyGA6VPLj606d0AjBmnPxjNp4hV+6VqR3daci08nVSybsiGDN+QTW9K9KTTcrxmw6ytyjKej05mg1WQyrbUktNz1zDh/GXKvlzcBABtWujY2ZGenpcRw58iuHD/+Evb03jRqNpXr13mg0JuivHib3wF/oroeCVUPS1yUi0y9h9UIiwvTOJZc5grQQNxxXriI+LIyEMIOAhIWRYBCSlKgobD09capcGafKlXH081N++/nhWKkSplZWfOfri8vNHBrZ+mOjtSRVl8GhlPNc0cUyeMsWKrZtm3dOXUwCWdsOkrk5mOxDZzBrVAOLzk0x79QYrWv+BZPZKTc5dehPGuxrAUWZ4pR6siY2YvCqVSRmZrL65ZexNstf8zt8+GeCg79hxIh9WFu7PsSdf+ZQ58k8iYSGLmbWlt84YNqRS0kZuJlkkqqD12pU4Ns+yrYi3xy4wTcHo1nTvyqB5Yu2u5qQkcsrqy6hl5KlfargZGnCotBQRq9fT3pO/vVFTQzzQ1p4eyOEIDr6KIcOzebcuTVUq9aLRo3G4uFRD6nLQXdqCzkHF0FOFnpRl7RFV9G6uWI9th+bho6kWUUHbJqm5TVpUoOt2XH0MuH6OBwqVlSEwyAgtwXFwccHrdnd552ELlrE+tGjyUm/Y9vM1MqKeiNGcHHTJpz9/Wk/cybuBazk6VPSydp5mMzNwWTtPopJVW8sujTFonMTTCremb0rpiwF4ZO/NiMlkMut9xtjZ6HltXXrCEtIYMOAAdhb5O9Y37HjI8LDdzF06A5MTe/PzMQzjCoyTyIjvunCNv0L9Lf4F0/XKnwe7gkyl55me/ll3Ebe2nKV4GspbHjFH2978yLTOBObTo9lF+hWxZEv23tjYlih7Pvdd1xNSioU3sfenrCxYzhzZiUhIT+QlBRJYOAY6td/DSsrF2R6ArlHVpJ7eCnCqSK5iZVJmx+KaU0/bN7qR27lcpxft451I0bgZ1G+UG0jLCuaSTk5aB5yN4LQRYvYMXEiSRER2Ht7027aNGoNGoQuO5vDP/9M0LRpVHnxRdp89hl2Ray6llk5ZO07QdaWA2RuPYDG2R6Lzk2w6NwU99VzSKAJiAooz4YEeR0hnLE2t2HvqzWo5W7F25s3c+DaNbYOHpzPZo2UkjVrhpKVlUL//ivRaB7dzgtPMarIPIm4T3mT171TMTGxYPaNyvzarRs2ploG/PUjdf1ex1QrWNK7MnbmRXd7rTufwMgNl/mqvTev1slfdddMmVLkxRDALJtfcHHxp1Gjsfj7d1eaRLGXyT30N7ln/kHr25LsMBfS/wrBrEUdxCutuXj2KGdXriQqJIRK7dsTvmcPGXGFzT3Y+/jwTnj4w1+ce5CZmMjemTM5OncuDd54g+bjx2Nhb19kWKnTkXPkPJlbDpC5JZg5NSL5wqsBOeJOjUqDDlOZTRWXFzmbaMb87n4MquXMRzt2sP7CBbYNGYKH7Z25SDpdNosWdcXZ2Z+uXX94pifrlZBSvQDqPhMPSCwupCReZvYNP1b060fPatUQqZHEiZeo5mLJupf9ixQYvZRM3XOdN7eEs/EV/3wCk5GTw7jNmwv1a97GSZvJ4MFbefXVXVSr1gsZfpjMxW+RuXA0UlqRm9qHhMlhZIRnENGrBqtPreeXXp2J3LePwDFj+E90NP1XrqTLd99hWsAinamVFe2mTXuk16g4LBwcaD99Oq8fP05qVBQ/VK3Kwdmz0WUXHqIXWi1mjWpg98kIXPfN5fXNJnx07QiOMgmQOMokPo48yCc3D3Dl1noaO15n6Now3tl6lent2zOwVi1azZ/P1cTEvDS1WjP691+ZZ6BcpXRRazIPwPnz62ixdCfJsjIuNnW5kWGKp7Wem6mZ2JldI/bDIUXGS83WMWxtGNdTcljVr0o+G7zHoqMZvHo1tdzc0F36hbVZjQrNmu1vuZ+F7225098i9WgqvUjG1gQyNgST4OfA4ajj3Iy6in+PHlTv3ZtK7doV2Y9SXJOmLLhx4gTbP/yQhLAw2k2fTvU+fYqtXdwMHI7+emwhd42nKyen1WVw8CV8rCtxNLMZjT1t2D20OnNCDvHNgQNsHzKEKs7OeXGSk68xb14z2refQa1aA0utfE8BanPpSSIm5jQ/z+/Et/rPSMqpSC/Lv5BpUWzUfEguGsY0tGV2l3qF4l1JyKTHsgs09LDhp66+eSutdXo9X+7bx7cHDvBtp0709CvPV1+5cpJahWbk1iaUD2zboSnnD+5tSfjlELmHz3ORWM5kRlKpjyIsPi1bonlAQ91lSdi2bWwfPx4TCws6zJqFd4sWhcKkr9pF0gc/QEb+nRssh7+Ew7Q3CD+3m+5L55Gq8SXWtBvWZiYcHhnA1rDTfLJ7N1sHD6am253JaTExp1iwoC19+y6lYsU2pV7GJxRVZJ4UMjLi+XluY5abjeJ8anPeaGDNb0cvE5PuhJ/DFV6pWY81FzSFrNftvJLEwNVhTGxRnrcC3fPe0lcSEhi6Zg0mGg1/dH+JmIuL+fffz8jNTiU7N6PQ+e20NrzsPIPU3/agjU7kgkk8pr1bUe2Vfng2aoTQPP2tX6nXc3LRInZ9/DEe9evTbvp0XKpVyxcmfdUuUqb/iT4qDk15F6wGdSJj6XbM2zbE7pORZGbEMGTOW2zP8cfWriexGRo2DvAnJjWCd7duZcPAgTQsf2fE6sqVXaxY8TJDh+7A3b3ke0M9Kfh+9x225uZohcBEo+Hw6NG0nj+frzp2zFfOu6CKzJOAXp/LX391YVlaI3R2NfjnSmU+beXJktPxbBtcjfK2ZuTo9FhMD8mzwyul5IeQm0zbG8XfvfxoW9E+z/3PEyd4f9s2PmzenJ7uafyz9V1sbNzp1Ok7wn/qw3ZxqdCM3PaZ3jgt9CelmR8eH4ykXMP6z2ynZW5mJgf/9z/2ffklNfr1o/XkydiUK37dlj4plcR3v0N/4xYOc/+LxsOBaT8PZWacNxUd23Mm2Z7PW3tRwyWFUevXs7J/f1r6+OTFDw1dzPbtHzJy5H7s7O5tZ/hJwve77zg8ejQuRv1sT5LIPH116jLin38+YGuyJ1c1nuzr2xf/H0/z85EYDr9WM69vZW9kCtVdLAHIytUzZnM4IVGp7B9+ZyFkXHo6b2zYwPlbt1jVozXXj05j0+FQOnb8Gn//HsiYS9horNHKCoVm5Fa3dMQqfBPC5NkfdjWxsKD5+PHUGzmSoGnTmBMQQONx42j63nucX7u2yP4kx3kTSftlNbe6vof9N+OY9OYS6qz6iJGhG6hhG8ik3fBiFQfm9+xF72XLWGRk16dWrQGGPpqmmJnZcuvW+WdiC1y9lAxfu5YKdnZ83rYtNl98wZuBgWy/cgVHCwu+aNeOxr/9thvwBt6Rkyeve9R5uKfICCFmAi8BFYBUYCPwoZQy/lFn5knl+PH5rDp9nJ3yRQ68NpAVZ5PI0euxMtVy7lYGLlYm+ezwRqdk02fFRTxsTNk/PCBv65Itly4xct06+lWrygiHowSvmUSzZu/Tt+8SNAnXyV41Ad3VI8gsQQ0LJ2qQf4awLln7XAiMMVbOznT65hsavfUWOydO5BsvL3IzMvJGopKuXmX9aGUXnlqDBmHzRm/M6lcj4f++JLtvG7p9MJW93svpvXEjniY32XKpJadjzfmtWx8Gr1rJ3G7d6GlojtnZeZKVlYylpQsTJiRz/fqhp2ILXCEEHRcuRAjB6w0aMLpBA0CxmTxo1SpquroysVUrANJycmjt68vMDh3otXQpH+/cCdABqAEsAB65yJSkEa8DBgPOQB0UQ+J/POqMPKlERgbzx9YvWZXbibUDBnDguo5Ju6+xf3gAM9tVYOyWq1hMD2HslqtMa+NFZScLGv1+mi5+DizvWwUbMy3pOTm8tWkTo9evZ3ItSyqcHU12+g3+7/9O0qz6AHTrPyPzz1FkZVhz/m8LMvbYI3Py12BljiD54PM7Q9WxUiX6LF6MqaVloaHunPR0dkycmHds1qgGLv98T86JS8S/PJHKFToSPGo8tfX/YqHbSkxaFoPX3GJ6+568sWEDf4cqq9GDgr6gf/+VODr6sn79a/j4tKJ793kEBT2eof0HZd+IERx9/XU2DxrEjyEh7Ll6FYDXN2zIJzAAZlotnStXBqCWmxsv+PggJ0/OAUJRTDo8cu4pMlLKj6SUx6SUOVLKWOAHoHVpZOZJIzn5Or8tHcoyzWB+7tadm2lWjNt6lS0DqlHV2ZIBNV049UZtdB835tQbtcnVS7ouPs/sTj5MauWJRgiOREXRYO5crt2K5D2r5Wgj/uSVV9bQvdVUzHb+TOYfw9DFm3BjpTuxH+zFxKM8t2o0J3WXLfoULVKCPkVL6i5bUgM7lfUlKXNSbxa9G0JSRES+Y62zPU6LPsWsaS3iuryDebhkzQeLeNP6ILrMDdiaZDFmcwLD6nVl/LZt/HrkCHFxZ/HxeYHevf8mJSWaTZveokKF5sTFnX0cRXtgyhsmGrpZW9OrWjUOXb8OQDMvL3aFh5OZm5sX1lSjyevH0wiBuWEUUk6e/NAmHYrjQRJtB5x81Bl50sjJyWDB4r4sFkN4p0krHC09GbDqEhte8aeWu1KjMDaRaWOmwdJEsGtIDWq6WZGr1zNz716+OxDMYJcrVIjdQNv2Mwio0Jrcfb+TeXYnUluX5KXliL8RTFR5E+rt+B6/GtUBOP+faaT89S9W0pR0kYNuwAv4fz3xbll+LrD39ibJ8KY2pqhOYaHVYvv+IMwaVidxzCysR3bj83fWUuev13kzfAXuVu35/iC0823D50H/EmjVnYiIvVSs2IYBA9axYEFb1q4djotL9cdRtAciLTsbvZTYmpuTlp3NP2FhfPLCC2y4cIGR9euz5+pV+i1fzuqXX8akjEYf70tkhBB9gFFAkTtoFdym9uGyVnZIKVm7fjR/pjWnReU6tPCuTc/lF1nRtwqNPJWFjgVNZKZk68nVC07cTMfKNIvBq1aSmXqdUfrfae87hGa196A5tISszQPRpVUmbY0LsSYRHIs5TcPvptG+wAQ0/68ngioqhWg3bVqhBZhaMzOyUlP5d+pUWkyYgLbAPk3mrevjsulbEt6YSfahM/T7/luqH5tH/71LsTdrx46rNahg25SDOWn0Wvwn6VaHCUvOoJJtP+reWMwrAfe3od7j5GZaGr2WLgWUPpiBNWvSuXJlZuzdC8B7TZuSlJnJkNWrWdS7d5nkscRD2EKIfig7SfaRUu4qQfindgh7//6vmLzvBLmubZnRoQ/dllzkzx5+dK7skBfG93/HuFqEpTonS5A522il2c8rvlZ0bD4B69Dt6I6vJ/dmeTL3akio5MG2Xcuo+upAXpg8GXNb20LpqBRPUbOVfV54gXUjR5IRH0/PBQtwrVGjUDyZk0vKFwvI3LgPh18+JMUqisFLZ7FXdCLXpAlCxpGVc5jKXKEvizgnGvGvaSe6muxmXNsBNGgwqgxK+1go+3kyQojhwNdANyll0ftpFI7zVIrMpUtb+HDFLEKturGg16v0XnGFHzv75rMFI6VE8/mhYlKQfOz4AcPbvY/n5XPkHltLzhU7cm5UJOeFhmxe/gvC3IwXf/qpkLkDlYdDSsmRuXPZ9fHHNJ8wgSbvvFPkivLMzftJGv8jNu+8gkmvunz0y1B+yu5MpqYpUq8HIQFlKoJGpOJheYJ3xdd07vwdAQH9H3OpHgtlvk3t28BkoLOUMqTECT+FInPr1gU+/HUA6zR9WdxvOK+ujWJ62woMqX1nEWN6jo4xm8JZeDIGfRH95raaVG7470We2UzORUukTStM+3Zlz6o/ObNyJe1nzKDO0KHPxOzcJ5WEy5dZM2wYAD3++AMnv8KW8HLDo0kYPQOTih7YTn+dv5YMY3hsTxDVUcxHHANslP2j5EmiX2/MX391pGfPBVSu3PlxFudxUOarsL8H7IBdQojU25/SzFRZkJmZxNcLh7BK9uSnl17mtQ03+LilZz6BuXArgya/nyZXLzGXR0Dm5k9E5qLLDSV7/W502kHYTF9CZPMq/DK4J3qdjjfPnKHusGGqwJQyjpUqMWz3bqr16sW8Jk04/PPPFHyZmvh64LJuFhp7G+K7T2Bg6+8UY1ikKJb3RH1ABzIURGXKlavDyy+vZvXqoURElKgyr2JAXVYA6PU6fvmrN1Ou12FS+z7MDoHX6rnxflOPvDDLTt/izS3hfN7ai9H13dB8NoUid0qUUeg//C9xV8LYOGYMWcnJvPjTT3g1blxWxXuuiT17ljWvvoqloyPdfvsN+woVCoVJX7GTlE9/o1z/t0EGgQgAnAA9yCMgAjn/ZhWqOjtz6dJW1qwZyuDBWylXru7jLk5pUfZ9Mg+U8FMkMhu3TuDtozn0rt+Vf8Ld6OnvyJTWyvqVbJ2e97dFsPFSIsv7VMHZPJUhi2az75YGvSjc3neUSSzLNOPYvHm8MHkyDf/v/x7a0pzKw6HPzWXvjBkc/N//6PjVV9QeMqTQmq+c81cxX3oZKdOA8yiT231BVAEktqb72DzoFZp7e3PmzAo2b36bYcN24+xc9fEX6NGjikxpcuLkIoZt2I5vpY5EpdWieQVbvu6g2NCNSMqi/8qLuFub8nu3Svz072JmhJylo1UM1dIu8xXNCtl8mcR+Ai560vGrr+66oE/l8XPj+HFWDx2Kk58fL/78Mzbu7vn8m386iv2a27aAzIBsQCDQY2suyMoJZn7PbrxSswZHj85jz56pDB8ehL194drRU4a6QLK0iIo6wnvrF6N16kx8Vm3qlrPKE5jNlxIZti6M95t40NYzmVZzPiY1I5UF8iqd4m+C0GNptp9vqUsC9jiSxLsc5530FGz/+qusi6ZSBOXq1mVUSAj/TpnCz3Xq0PWHH6jRt2+e/6wz+3g3QHJY9EOPGRoyqC9XIGUSodlDsDBryZDVW7hwK4FPXhhJZmYCCxd2YPjwoDLb/SAyKYuha8O4kZqDRghG13crtMvo7vBkeiy7QEUHxdZ072qOfNLKi/DELF5acr6QaZJHzXNbk0lNvcGoHwexV9Me/3Ldcbcx588eyijEp/9e448TsSzoUZGVhxaw4NwNhphH8nnKWcylP5ZvzSJk4IvUbqVBGM37kjlwco+eprtPPM6iqDwA1w4cYM2rr1K+YUO6zJ6NpZMTNwOHE+Z7kAM1wkjRZGOrN6PJGT+8U/z4vHkiv8vRaE38yNadoF/1Cvzd50V27fyYsLAtDB26EwuLou0UlybRKdlEp+ZQ38OalCwdDX47xZr+Vajhemed2+7wZL46EM2GV/zzxTUSGbUm86jJzc3isz9fY3NuKxr7dsPSxJT53SsRl57LwNWXAJjVMouhi6fjLBPZkn2WuskCs85TMe/wIlnJyfzz70myUipSv60jWls9uhQNR3cm8O+xcJqWcflU7o1Xkya8fuwYOz76iJ9q16bb3Ll4/ncoFT9IpuK+SncCmmjB3JSvB71Ns9g5jE15iVxtE1acvcqFX/9i77DJZGYmsmRJdwYN2oKpqeVjLYeHrVmeqRFbcy3VXSy4npJDjfusWImpBysBK1Fm7AcAPQEtUBNljpwZMARlC9uuclLjEltheO7GUqWU/LpqHL/cqksjnx6ACUv7VCb4WioNfgulfjlzbDNX8PqGVbyWe46gtCPUc2mL9fTtyMDm/PvZZ/zPzw9TKyv+PXqFb786yleTj/PtV0f59+gV7L29y7qIKiXE1MqKzt99R6+FC9n05pts3/w3CV1rkkY2UkrSyCa5XyNc1s4ifcEeXjreiiDfc1TW/Q14cCrGgYr/m0fdljOws/Ni+fJ+6HQ59zxvaRGemMWxG+k09rQu5Bd8LZU6v4TS5e9znI5Jz+cnph70RxGY4XJS49tz4WoCA4FGwDQgXU5qXA8IBobeT76eO5HZvm82n5y3oW6FF8nINWNVv8p8f+gG/Vdeom+lGH478AuJMRcJztnJf1LMsH5tOdph7/DvtGn8r3JlEsLCGLFvH93mzi1Ti/8qj46KbdrwxokTxF+6xPIfp7Ioehu/3tjEouhtrPz5C84d24/Lpm8wrVkZ968zCPJ0p5/8Ep0eErOq4ve/PyjXYBZCCNauHYaU+nuf9BGTmq2jz/ILfNfRp9AuGfU9rLj6dl1OvF6LsYHl6Ln8Qp5fbHoOwFpgsJzU+LhRtF1yUuMUOalxLJAE3N7P9r5NQjxXInPu0nZG7zqNj1sn0nJt+aunHwNXh7E49CYVNBv5+/gWpuccYt2tMCoFfoTJhF/Y8/vvzK5cmeTISF47cICeCxbgXLUqtQYNotvcudj7KLsZ2vv40G3u3DKz+K/ycJjb2ZF45YphN8o73LZVI8xMsR0/BMcFk9D/GcWcmNr8YDIDoYskl7q0WLCatCozSE6+zqZNbxWa/Fea5Oj09Fl+kUG1XIrcCtnO3CTPcFrXKg7k6CRxirhgrwhSJNC8QDRjS+16o+P7Ngnx3IhMfHwYg5f+joldRzKlOzPbVaDNwrPcTAjjws1l+CSf5EjmHgZbNEL7zhL2HTjMD1WrknrzJqNCQujx++84GYz93KbWoEG8Ex7OZL2ed8LDVYF5yilok6Yod7N6/rhu/R6tS2V6r/ElyHoF5XS7QNRh1MaDHHb5jOvXD7Fz58ePJc9SSkauv0J1F0vea+JRZJgbqdl5onfoeip6Cc6Wik6YaQUo/S9DxdSDpbIvzDPd8Ttz0y98f/Q8N3S2WJGB0LbDXevHkFrO9FtxHsvcYG7knGNR7lHaJpeDfj8QvHYNR+vWIaB/f0YfPYqDkbFplWeb4mzVCCHYPG4cLSZMwNbDA2Fpjt2nozDv1ATx7reEtDnHMKswtonh/Hj0Ji3LT6T/2Y+wtHSkWbP3SzXP+yJTWRgaRy03S+rOVSz8fdGmAhHJSsXjjQburDgbz0+HYzDRCCxNlZ1NjScjykmN08TUgy8B28TUg2mPOo/P7BD2zE2/8PmRTBysG3A9TQtkIaWgqf0xzmfWJj1zP8PlfqYk3sK0+jAOnr/I8fnzqTlgAC0mTChy+rnKs03ookWFbNWYWlnRYdYs4i9d4sSCBdR59VWaf/hh3kQ+fWo6KVN/Jzt0J3ObJvKJfBeJCZ5WMYzTTKZt64+pX/+1sipSSVFn/D4IjlO/JYsAKunXcZ4a5Iq6aMnBQh6hImf4Oec4NXICCUnRcmzJ39QePJjm48cXuQG8yvPD3XbWTImOZu+MGYT+9Rf1Ro6k2QcfYO2qjBVn7T5C0qSvONM+ku7iVVKogrXmEv81m0zPF78jIKBfWRbrXqgiU1JyctI5eHI1f4Zs59eYQWhkOFphSw7eyspafTaILOKiZnE63ZPgDWuUN9MHH2Bbsv1pVFRIvn6dvdOnc2rxYuqPHk2z99/HytkZfWIqyZ/8SErOJrqVa8oJ8SKmXGK8yUSG9f+DypWfWBvNqsjcDb0+lyNnt/BH8Gb+ic4hktq4WHoRlV4ODRnoxZ1hZjf9AWJEI2Z+9yJ1R4yg2fvvq+uLVB6YpIgIgr74gjPLl9NwzBiavvcelo6OZGzaR/qv05hU15qfxBi0xPCmGM+4IYuo5Ft4690nAFVkCgWUktOX9zNv31rWXU0nQtbGzqw8yTpnzDW5ZOQKNDIbM3kIWyyIoQFuHCGFTLJFQxLfqI210X7IKioPQ2J4OHumTePc6tU0eustmrzzDqY6QcqkqexwPMTL5u+jR8tgJnLEdADnc+qiwx4tSfhbnOX0+HfKugiqyNwmLOo0P+9ewYorGVzTVcNMW44svS0acsmRJmiIxVuepYP+ML9q30aLHisZTArZ2GJGumiKHg36T4q0g66i8lDEh4UR9PnnnF+/nsbjxtH47bfRbw0iOmgajVyHE48/Aj3l5EmiqY8jF0kUPlS3CC1roXm+1y5FxkXw0+5lLL6QSWSuH0K0ALTkoiVXl42jPEUT/TEGJZ2n4fVcIi8kcOVmMrdGrWGVaT9SNO0ASAGQOnrnLKeYzRZUVB4KJz8/evzxB7cuXmTP1KnMrlKFJu++S4OxiwibMx4npypITHAljABCiBWVsJSJnM8MIC1bh7XZs2l3qKSGxLXADGAYihm4f4DXpZRxd4lTopqM3+Rp6Ve1DS1vVx+rimPsevs1vtmxksXn07me4w24oiWDHGmJObFU15+gV/IJWp6JIPr8LXSVKuPRqBHlGzakfGAg9t7eHGhTl69bt2W1pht6rNCQTi/9ev6ze6e6SlrlsRB3/jx7PvuMy9u30/S992iR9QLIJGUQAms0ZGBGPJlUwF+ux06bjp+9HfUrBVCvciCNfCsUWiJQSpR9c0kIMRF4FegM3AJ+B6yklF3uEueeIuM3eVr6FW0TSwd5lUS8cOAcCaIekInAAnMSyJEmeMhwWieF8MLhYCykI84NGuEZGEj5wECcq1Qp0mZu6KJFJMyeQt2WtnmrpI8HpeA4drI6M1flsRJ75gz/TpnCKwEjsJPXSdAEGOxDZ2Am48gWHljKSLKEA3psARPMSMSSOGxIwNEkiwA3B3rUrkvHgLo4W5sXeZ4aU2dwQdbD+IV9ZtKEkmTxiRCZq8BnUsp5hmM/4BJQUUoZXkyce4qMyWdbpa28Ro7QkEYFNGgxJ55MHGmSuJnOEcep5+yLZ2BjygcG4lqjRqGNu+7G3eY8qKg8bmp8OoVzmhY4yKskUCWvT6aafi/bMiMwl+nodIlsNtGyzsyLUG15YnAnUziRgx0SGzTkYEYCViIJZ7NM6pVzZHjjJryzfAkXZMPCaYuQkghNmW+JYg8kAvWklMeN3JOAIVLKdcXEu6fIiM8OSGQOzlwgE1fSNO6GuSymZH9QB1PLx2ubQ0WlNNndsBJjur3KBdHkTm1DHmDOugXEVWlESlQUKdevkxIVhdbMDOfyXnh5uOHuZIOtlYZzNnrW2zgQbOHFTa0r6cKRLBzIxR6wQpCOOUmYygxSNH446k+TLDzJ/eSe83PKvOPXzvCdVMA90cgPuP9tarUkYcd1bmlq5rk5cpFkPFWBUXnmOB6nZ866BdRvuy6fobPjt/S8c2RJXjgpJZmJiYroGD43oqLQRkXRPiyKxlG7Sb8eDbFJlHN1IbtqOQa3moWbPIZAj8SMFPxIoApQ8pp/aVESkUkxfBe0LegAJBs7SCnnAnMBhBBb7pVwpawD8pJ5C+GoP52vilc5a6+ETs/NCnGV54Okq1cH/nuVX/89esXYEFE6yv7yf992EEJg6eiIpaMjbgEBxaY3RQhNfGSiM5GXymtbJR3PxlHp7zFw+4VNKddU7sU9H2QpZSIQAdS/7SaEqIRSizl5l3j33GZv0BefDq6cFSSThScIU5KFJ5WzguSgLz4dXKLcq6g8RUyW8m8UQbmKMi/sKjDK4P4g6eknSxk7WcoTlbIOyEThg6P+NOizcdSfJlH4UCnrQJnvzHo/o0tDuTO6NA+wLYmQ3IspQgwEvgC8UcTsowe96CoqzytThBi46KPJf102bypu9/dUygqWg76YMrisn6f7mSczE2WejDmwDRh9t3kyKioqj5cn9YVdassKVFRUVOA5Mr+poqJSNqgio6KiUqqoIqOiolKqqCKjoqJSqqgio6KiUqqoIqOiolKqPDFGqwzLEFwMn2d1/o1atqeXZ7l8FlLKmvcO9mA8cfNkHsBs51ODWranl2e5fKVdNrW5pKKiUqqoIqOiolKqPIkiM7esM1CKqGV7enmWy1eqZXvi+mRUVFSeLZ7EmoyKisozhCoyKioqpUqpiIwQ4hUhRJAQIlkIkVuE/1AhRJgQIl0IcVAI0aCAf0MhxCGDf5gQYnABfzchxCohRIoQIlYIMVMIUSaCKYQoJ4RYashHghBipxCijpH/Q5X1SUAI0V4IcUAIkSqEiBNCzDHyexbKpxFC7BdCSCGEl5H7U1k2w/Nw2vD8RQkhfhVCOBUI8/jKJqV85B+gEzAAGAHkFvBrAaQBHVEMYI0HbgJ2Bn97IBb40ODfAUgFmhqlsQ1YZQhbCbgAfFgaZSlBWVcZ8uMEmAFfApEodlUfuqxl/QFaoxiN72vIowVQ/1HdyyfhA/wH2I5iEtPraS8biuGqeihWxF2BzcBaI//HWrbH8QctKDILgIVGxwLFiterhuPhhmNhFGYh8Ifhd0XDn8HPyH8kcKWMbuhJFCuBt4/9DflzediyPgkfIBiYUYzfs1C+qkAYULeAyDz1ZTPK14tAUlndt7JoYtQBjtw+kEoJjhncb/sfNbjf5mgB/yQpZVgBf18hRL4tWh4Ts4A+QggXIYQFypYwe6VimvRhy1qmCCGsgUZAphDiqKGptFsIcXt26NNePg3KbqgfoNTWjHmqy1aAduQ3+v9Yy1YWImPL3fdwelB/KLAP1GNiH6BFqV6mAr1RLNLDw5e1rHFE+Y+MQrHvXB5lH/RNQggHnv7yjQNuSClXFeH3tJcNACFEH5T7N87I+bGWrSxEJoW77+H0oP63/R4bhjfhdpQ+IWUbP5gGBAkh3Hn4spY1t6/nH1LKk1LKbGA6Slu/GU9x+YQQlVH6Yt4qJshTW7bbCCH6Ab8C3aWUR428HmvZykJkTpB/DyeB0h4+YeRfr0CcegX87Q17Pxn7h0spC6pvaeOE0kc0W0qZLKXMllL+hnJdm/DwZS1TDNczHKWvopA3T3f5WqB0ip4SQsShNAcATgohxvB0lw0hxHDgF6CblHJXAe/HW7ZS6mjSooxCdARyDb8tuDPikorSTjQD3id/z7YDStPjA4N/O4oeXVqBUn2rCJwHJpRRp9p5YDZgjWI6YwSQjTLq9dBlLeuPIW/XgBqG8o0HolHedE9t+VBqnV5GnyYowtkQsHnKy/Y2yv5ogcX4P9aylVYhhxluWMGPr8F/KHAZyAAOAQ0KxA80uGcYwg0u4O+GMnScgmLj40tAU0Y3tDqwwZCPJJQOtR5G/g9V1rL+oLwYPgNuoLTLdwF1n5XyGeXTF6PRpae5bIZy5BiEIe9TIMxjK5u6dklFRaVUUZcVqKiolCqqyKioqJQqqsioqKiUKqrIqKiolCqqyKioqJQqqsioqKiUKqrIqDwQhoWSHz/G80khRIt7hFkihBhp+O1b0D7MI87PTCHE1NJI+1lDFZlHhOGhyzIYdkoSQhwzLE5TeQwIIZqgrBiffx9xHuaezQDeFEJ4PkB2nytUkXm0TJVS2gDOwGJgqRCiasFAQgjTx56zYniS8vKQjENZyKm7z3glumcFkVImoBiDev2+c/qcoYpMKSClzAXmoKzhqiWEaC2EyBVCDBFCXAbiAYQQ3kKIFUKIaMNnrhDC1uAnhBDTDOYTU4QQ4UKIsQY/RyHEciHELcMb+JQQoqXB71MhxHbj/Bg3bR4kLyXhHmX5SgixukD4NoZyWRuOawohthps1kQIIaaXVACFECYohpm2FeHdRghxxnCuf4QQHkWlUcQ9aycUs5QJQjGtukQI4VYg2jagZ0ny+DyjikwpIIQwA95EWT9ye+WqFuiCsprVXSgGrnYCZ1AWU9ZAWaj3vSF8B+BVoLGU0hZojGK7BpSFa1aAD8pitt4oixhLyv3m5V7lvVf834EXhRCuRtGGAcuklGmGh/dflPVo5YGmhvL/t4TlqYJiA+VMEX4vA60AT5RFrJ8VU4aC9ywLxQyEK1DLkK+C1yMUqGmIq1IcZb2Y61n5ALtRFpMlAjHAfpRl9qCYIZWAt1H4vkBYgTQaoPy5tYY4cUBnlA3RjcN9ChwwhNcU4be9iLx9/KB5uUt5Py5pfOAg8K7hty3Kor3mhuP3gZ0F4vcBLhkdS6BFMXlpZvA3Nhfpa3ALNHJ7EzhWkntWxDleAmIKuFUxnMOtrP9/T/LHpBjtUXkwpkkpPy/GT49iYPw2FQFvIURigXASKCel3C2E+Aj4GFgmhAgGJkopD6OY/DRFsdXqIYTYAIyXUt4sYT7vKy/A9XukV5L4fwBjgG+B/sB1KeU+o/jNC8QXKGJbEhIM37YUNqwUbfQ7zRDGmCLvmVCs93+BYnLSypAfmwLB7FDKmIhKsajNpceHlIbXn4GrwAUppUOBj4WU8rohwlwpZQuUB/UESnMCKWWalHKilLImEIDSFJhlSDcVpVlgTPmHzcs9KEn8JUAVIUR9lKbSHwXiby8Q114qHbIl4aKh3DVKGL4kLEExZFVVSmmHsvtGQWoCp6ViMVClGFSRKTs2AKZCiI+EELaGjl5PIUQvACFEoBCihRDCHKXZkYJiAAwhRDchRHUhhBbl4cq87QccBuoLIRoIIUyEEG+h1BQeOC8PWxYAKWUisBr4HMVA1J9G8f8EGgohRgghLISyD1IlIUTnkpxcKp22G4H2JcxvSbBDsQ+UIoTwBiYUEaYDsOYRnvOZRBWZMkJKmY5icawGcA7lD70DxQwiKNX6/6H0y9xCsTL4isHPD1iP0jQIR+lXmGBIdzfwNbAFpangzp0O4wfNy8OW5TZ/oHQ4b5VSRhnFvwG0QRmpCUdp/qxG6UQuKd8DwwzC+ygYDbyGIu6rgOXGnkIxpN4V+PkRne+ZRTVapfLMIIRYAmyTUs57DOeaDuiklI9t1vPTiioyKioqpYraXFJRUSlVVJFRUVEpVVSRUVFRKVVUkVFRUSlVVJFRUVEpVVSRUVFRKVVUkVFRUSlVVJFRUVEpVf4flAkDPQZqrFUAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<Figure size 288x1368 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#defining color dictionary for plotting\n",
+ "\n",
+ "def colordictionary():\n",
+ " # manually defined colors\n",
+ " mymaroon= np.array([128, 0, 0])/255\n",
+ " myred = np.array([230, 25, 75])/255\n",
+ " myorange= np.array([245, 130, 48])/255\n",
+ " mymagenta=np.array([240, 50, 230 ])/255\n",
+ " myolive = np.array([128, 128, 0])/255\n",
+ " myteal = np.array([ 0, 128, 128])/255\n",
+ " myblue = np.array([ 0, 130, 200])/255\n",
+ " mynavy = np.array([ 0, 0, 128])/255\n",
+ "\n",
+ " return {'80km': mymaroon, '40km': myred, '20km': myorange, '10km': myolive, '5km': myteal, '2km': myblue}\n",
+ "colors=colordictionary()\n",
+ "\n",
+ "#plotting\n",
+ "\n",
+ "fig=plt.figure(figsize=(4,19))\n",
+ "plt.rcParams.update({'font.size': 13})\n",
+ "plt.subplots_adjust(hspace = 0.7)\n",
+ "\n",
+ "ax = fig.add_subplot(611)\n",
+ "ax.plot(alltrajtot[0][0], alltrajtot[0][1], linewidth=1, marker='o', label='80km', color=colors['80km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[1][0], alltrajtot[1][1], linewidth=1, marker='o', label='40km', color=colors['40km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[2][0], alltrajtot[2][1], linewidth=1, marker='o', label='20km', color=colors['20km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[3][0], alltrajtot[3][1], linewidth=1, marker='o', label='10km', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[4][0], alltrajtot[4][1], linewidth=1, marker='o', label='5km', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[5][0], alltrajtot[5][1], linewidth=1, marker='o', label='2.5km', color=colors['2km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[6][0], alltrajtot[6][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['10km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[7][0], alltrajtot[7][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['5km'],clip_on=False)\n",
+ "ax.plot(alltrajtot[8][0], alltrajtot[8][1], linewidth=1, marker='o', markerfacecolor='None', color=colors['2km'],clip_on=False)\n",
+ "\n",
+ "leg = plt.legend(loc='lower right', bbox_to_anchor=(1.1,0.01), fontsize=10, handlelength=0, markerscale=0, frameon=False)\n",
+ "for line, text in zip(leg.get_lines(), leg.get_texts()):\n",
+ " text.set_color(line.get_color())\n",
+ "\n",
+ "plt.xlim(200,1007.5)\n",
+ "plt.gca().invert_xaxis()\n",
+ "yticks=[0,2,4,6,8]\n",
+ "ax.set_yticks(yticks)\n",
+ "plt.ylim(-0.1,8)\n",
+ "plt.xlabel(\"Pressure level (hPa)\")\n",
+ "plt.title('total (regridded to 40km)',x=0.35, y=1.05)\n",
+ "ax.spines['right'].set_visible(False)\n",
+ "ax.spines['top'].set_visible(False)\n",
+ "ax.xaxis.set_ticks_position('bottom')\n",
+ "ax.spines['bottom'].set_position(('axes', -0.1))\n",
+ "ax.yaxis.set_ticks_position('left')\n",
+ "ax.spines['left'].set_position(('axes', -0.05))\n",
+ "ax.tick_params(axis='x', direction='out')\n",
+ "ax.tick_params(axis='y', direction='out')"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/processing_scripts/dhr/binning_dhr.py b/scripts/processing_scripts/dhr/binning_dhr.py
new file mode 100755
index 0000000..cf2e20b
--- /dev/null
+++ b/scripts/processing_scripts/dhr/binning_dhr.py
@@ -0,0 +1,1026 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+import xarray as xr
+import pickle
+from scipy import stats
+from scipy import *
+import matplotlib.pyplot as plt
+import numpy as np
+import warnings
+warnings.simplefilter("ignore")
+
+
+# In[16]:
+
+
+########total###################
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace3.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace3.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace3.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace3.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace3.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace3.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace3.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace3.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace3.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.DHR_total>=-200) & (ds1.DHR_total<=200)))
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.DHR_total[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.DHR_total>=-200) & (ds2.DHR_total<=200)))
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.DHR_total[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.DHR_total>=-200) & (ds3.DHR_total<=200)))
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.DHR_total[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.DHR_total>=-200) & (ds4.DHR_total<=200)))
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.DHR_total[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.DHR_total>=-200) & (ds5.DHR_total<=200)))
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.DHR_total[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.DHR_total>=-200) & (ds6.DHR_total<=200)))
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.DHR_total[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.DHR_total>=-200) & (ds7.DHR_total<=200)))
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.DHR_total[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.DHR_total>=-200) & (ds8.DHR_total<=200)))
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.DHR_total[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.DHR_total>=-200) & (ds9.DHR_total<=200)))
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.DHR_total[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=np.nanmean(bin_means1, axis=1)
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=np.nanmean(bin_means2, axis=1)
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=np.nanmean(bin_means3, axis=1)
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=np.nanmean(bin_means4, axis=1)
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=np.nanmean(bin_means5, axis=1)
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=np.nanmean(bin_means6, axis=1)
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=np.nanmean(bin_means7, axis=1)
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=np.nanmean(bin_means8, axis=1)
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=np.nanmean(bin_means9, axis=1)
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("alltrajtot.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+
+########pcon#################################################################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace3.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace3.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace3.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace3.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace3.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace3.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace3.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace3.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace3.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.DHR_pconv>=-200) & (ds1.DHR_pconv<=200)))
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.DHR_pconv[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.DHR_pconv>=-200) & (ds2.DHR_pconv<=200)))
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.DHR_pconv[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.DHR_pconv>=-200) & (ds3.DHR_pconv<=200)))
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.DHR_pconv[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.DHR_pconv>=-200) & (ds4.DHR_pconv<=200)))
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.DHR_pconv[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.DHR_pconv>=-200) & (ds5.DHR_pconv<=200)))
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.DHR_pconv[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.DHR_pconv>=-200) & (ds6.DHR_pconv<=200)))
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.DHR_pconv[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+
+y1=np.nanmean(bin_means1, axis=1)
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=np.nanmean(bin_means2, axis=1)
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=np.nanmean(bin_means3, axis=1)
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=np.nanmean(bin_means4, axis=1)
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=np.nanmean(bin_means5, axis=1)
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=np.nanmean(bin_means6, axis=1)
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6))
+
+with open("alltrajpcon.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6
+
+###########################mphy#############################################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace3.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace3.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace3.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace3.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace3.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace3.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace3.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace3.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace3.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.DHR_mphy>=-200) & (ds1.DHR_mphy<=200)))
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.DHR_mphy[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.DHR_mphy>=-200) & (ds2.DHR_mphy<=200)))
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.DHR_mphy[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.DHR_mphy>=-200) & (ds3.DHR_mphy<=200)))
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.DHR_mphy[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.DHR_mphy>=-200) & (ds4.DHR_mphy<=200)))
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.DHR_mphy[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.DHR_mphy>=-200) & (ds5.DHR_mphy<=200)))
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.DHR_mphy[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.DHR_mphy>=-200) & (ds6.DHR_mphy<=200)))
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.DHR_mphy[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.DHR_mphy>=-200) & (ds7.DHR_mphy<=200)))
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.DHR_mphy[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.DHR_mphy>=-200) & (ds8.DHR_mphy<=200)))
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.DHR_mphy[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.DHR_mphy>=-200) & (ds9.DHR_mphy<=200)))
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.DHR_mphy[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=np.nanmean(bin_means1, axis=1)
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=np.nanmean(bin_means2, axis=1)
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=np.nanmean(bin_means3, axis=1)
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=np.nanmean(bin_means4, axis=1)
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=np.nanmean(bin_means5, axis=1)
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=np.nanmean(bin_means6, axis=1)
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=np.nanmean(bin_means7, axis=1)
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=np.nanmean(bin_means8, axis=1)
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=np.nanmean(bin_means9, axis=1)
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("alltrajmphy.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+###########################hr##############################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace1.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace1.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace1.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace1.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace1.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace1.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace1.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace1.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace1.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.hr>=-200) & (ds1.hr<=200)))
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.hr[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.hr>=-200) & (ds2.hr<=200)))
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.hr[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.hr>=-200) & (ds3.hr<=200)))
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.hr[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.hr>=-200) & (ds4.hr<=200)))
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.hr[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.hr>=-200) & (ds5.hr<=200)))
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.hr[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.hr>=-200) & (ds6.hr<=200)))
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.hr[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.hr>=-200) & (ds7.hr<=200)))
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.hr[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.hr>=-200) & (ds8.hr<=200)))
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.hr[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.hr>=-200) & (ds9.hr<=200)))
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.hr[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=np.nanmean(bin_means1, axis=1)
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=np.nanmean(bin_means2, axis=1)
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=np.nanmean(bin_means3, axis=1)
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=np.nanmean(bin_means4, axis=1)
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=np.nanmean(bin_means5, axis=1)
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=np.nanmean(bin_means6, axis=1)
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=np.nanmean(bin_means7, axis=1)
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=np.nanmean(bin_means8, axis=1)
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=np.nanmean(bin_means9, axis=1)
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("alltrajhr.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+
+##################################radl###########################
+
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace3.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace3.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace3.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace3.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace3.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace3.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace3.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace3.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace3.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.DHR_radlw>=-200) & (ds1.DHR_radlw<=200)))
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.DHR_radlw[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.DHR_radlw>=-200) & (ds2.DHR_radlw<=200)))
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.DHR_radlw[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.DHR_radlw>=-200) & (ds3.DHR_radlw<=200)))
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.DHR_radlw[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.DHR_radlw>=-200) & (ds4.DHR_radlw<=200)))
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.DHR_radlw[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.DHR_radlw>=-200) & (ds5.DHR_radlw<=200)))
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.DHR_radlw[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.DHR_radlw>=-200) & (ds6.DHR_radlw<=200)))
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.DHR_radlw[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.DHR_radlw>=-200) & (ds7.DHR_radlw<=200)))
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.DHR_radlw[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.DHR_radlw>=-200) & (ds8.DHR_radlw<=200)))
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.DHR_radlw[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.DHR_radlw>=-200) & (ds9.DHR_radlw<=200)))
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.DHR_radlw[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=np.nanmean(bin_means1, axis=1)
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=np.nanmean(bin_means2, axis=1)
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=np.nanmean(bin_means3, axis=1)
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=np.nanmean(bin_means4, axis=1)
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=np.nanmean(bin_means5, axis=1)
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=np.nanmean(bin_means6, axis=1)
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=np.nanmean(bin_means7, axis=1)
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=np.nanmean(bin_means8, axis=1)
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=np.nanmean(bin_means9, axis=1)
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("alltrajradlw.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+
+##############rads############################################################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace3.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace3.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace3.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace3.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace3.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace3.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace3.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace3.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace3.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.DHR_radsw>=-200) & (ds1.DHR_radsw<=200)))
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.DHR_radsw[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.DHR_radsw>=-200) & (ds2.DHR_radsw<=200)))
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.DHR_radsw[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.DHR_radsw>=-200) & (ds3.DHR_radsw<=200)))
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.DHR_radsw[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.DHR_radsw>=-200) & (ds4.DHR_radsw<=200)))
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.DHR_radsw[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.DHR_radsw>=-200) & (ds5.DHR_radsw<=200)))
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.DHR_radsw[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.DHR_radsw>=-200) & (ds6.DHR_radsw<=200)))
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.DHR_radsw[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.DHR_radsw>=-200) & (ds7.DHR_radsw<=200)))
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.DHR_radsw[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.DHR_radsw>=-200) & (ds8.DHR_radsw<=200)))
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.DHR_radsw[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.DHR_radsw>=-200) & (ds9.DHR_radsw<=200)))
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.DHR_radsw[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=np.nanmean(bin_means1, axis=1)
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=np.nanmean(bin_means2, axis=1)
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=np.nanmean(bin_means3, axis=1)
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=np.nanmean(bin_means4, axis=1)
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=np.nanmean(bin_means5, axis=1)
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=np.nanmean(bin_means6, axis=1)
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=np.nanmean(bin_means7, axis=1)
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=np.nanmean(bin_means8, axis=1)
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=np.nanmean(bin_means9, axis=1)
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("alltrajradsw.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+##############################dyn###############################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace3.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace3.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace3.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace3.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace3.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace3.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace3.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace3.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace3.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.DHR_dyn>=-200) & (ds1.DHR_dyn<=200)))
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.DHR_dyn[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.DHR_dyn>=-200) & (ds2.DHR_dyn<=200)))
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.DHR_dyn[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.DHR_dyn>=-200) & (ds3.DHR_dyn<=200)))
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.DHR_dyn[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.DHR_dyn>=-200) & (ds4.DHR_dyn<=200)))
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.DHR_dyn[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.DHR_dyn>=-200) & (ds5.DHR_dyn<=200)))
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.DHR_dyn[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.DHR_dyn>=-200) & (ds6.DHR_dyn<=200)))
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.DHR_dyn[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.DHR_dyn>=-200) & (ds7.DHR_dyn<=200)))
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.DHR_dyn[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.DHR_dyn>=-200) & (ds8.DHR_dyn<=200)))
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.DHR_dyn[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.DHR_dyn>=-200) & (ds9.DHR_dyn<=200)))
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.DHR_dyn[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=np.nanmean(bin_means1, axis=1)
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=np.nanmean(bin_means2, axis=1)
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=np.nanmean(bin_means3, axis=1)
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=np.nanmean(bin_means4, axis=1)
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=np.nanmean(bin_means5, axis=1)
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=np.nanmean(bin_means6, axis=1)
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=np.nanmean(bin_means7, axis=1)
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=np.nanmean(bin_means8, axis=1)
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=np.nanmean(bin_means9, axis=1)
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("alltrajdyn.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+############################turb#########################################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace3.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace3.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace3.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace3.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace3.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace3.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace3.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace3.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace3.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.DHR_turb>=-200) & (ds1.DHR_turb<=200)))
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.DHR_turb[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.DHR_turb>=-200) & (ds2.DHR_turb<=200)))
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.DHR_turb[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.DHR_turb>=-200) & (ds3.DHR_turb<=200)))
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.DHR_turb[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.DHR_turb>=-200) & (ds4.DHR_turb<=200)))
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.DHR_turb[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.DHR_turb>=-200) & (ds5.DHR_turb<=200)))
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.DHR_turb[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.DHR_turb>=-200) & (ds6.DHR_turb<=200)))
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.DHR_turb[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.DHR_turb>=-200) & (ds7.DHR_turb<=200)))
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.DHR_turb[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.DHR_turb>=-200) & (ds8.DHR_turb<=200)))
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.DHR_turb[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.DHR_turb>=-200) & (ds9.DHR_turb<=200)))
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.DHR_turb[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=np.nanmean(bin_means1, axis=1)
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=np.nanmean(bin_means2, axis=1)
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=np.nanmean(bin_means3, axis=1)
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=np.nanmean(bin_means4, axis=1)
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=np.nanmean(bin_means5, axis=1)
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=np.nanmean(bin_means6, axis=1)
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=np.nanmean(bin_means7, axis=1)
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=np.nanmean(bin_means8, axis=1)
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=np.nanmean(bin_means9, axis=1)
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("alltrajturb.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
diff --git a/scripts/processing_scripts/dhr/binning_radiative_heating.py b/scripts/processing_scripts/dhr/binning_radiative_heating.py
new file mode 100755
index 0000000..fb842df
--- /dev/null
+++ b/scripts/processing_scripts/dhr/binning_radiative_heating.py
@@ -0,0 +1,649 @@
+import xarray as xr
+import pickle
+from scipy import stats
+from scipy import *
+import matplotlib.pyplot as plt
+import numpy as np
+import warnings
+warnings.simplefilter("ignore")
+######################################################################
+ds1=xr.open_dataset('../../../0.8/1m/crh/outtrace4.nc')
+ds2=xr.open_dataset('../../../0.4/1m/crh/outtrace4.nc')
+ds3=xr.open_dataset('../../../0.2/1m/crh/outtrace4.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/crh/outtrace4.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/crh/outtrace4.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/crh/outtrace4.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/crh/outtrace4.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/crh/outtrace4.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/crh/outtrace4.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.hr>=-200) & (ds1.hr<=200)))
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.hr[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.hr>=-200) & (ds2.hr<=200)))
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.hr[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.hr>=-200) & (ds3.hr<=200)))
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.hr[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.hr>=-200) & (ds4.hr<=200)))
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.hr[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.hr>=-200) & (ds5.hr<=200)))
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.hr[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.hr>=-200) & (ds6.hr<=200)))
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.hr[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.hr>=-200) & (ds7.hr<=200)))
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.hr[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.hr>=-200) & (ds8.hr<=200)))
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.hr[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.hr>=-200) & (ds9.hr<=200)))
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.hr[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=np.nanmean(bin_means1, axis=1)
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=np.nanmean(bin_means2, axis=1)
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=np.nanmean(bin_means3, axis=1)
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=np.nanmean(bin_means4, axis=1)
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=np.nanmean(bin_means5, axis=1)
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=np.nanmean(bin_means6, axis=1)
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=np.nanmean(bin_means7, axis=1)
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=np.nanmean(bin_means8, axis=1)
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=np.nanmean(bin_means9, axis=1)
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("alltrajhrnew.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+###################################################################
+ds1=xr.open_dataset('../../../0.8/1m/crh/outtrace4.nc')
+ds2=xr.open_dataset('../../../0.4/1m/crh/outtrace4.nc')
+ds3=xr.open_dataset('../../../0.2/1m/crh/outtrace4.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/crh/outtrace4.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/crh/outtrace4.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/crh/outtrace4.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/crh/outtrace4.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/crh/outtrace4.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/crh/outtrace4.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.hrlw>=-200) & (ds1.hrlw<=200)))
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.hrlw[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.hrlw>=-200) & (ds2.hrlw<=200)))
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.hrlw[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.hrlw>=-200) & (ds3.hrlw<=200)))
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.hrlw[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.hrlw>=-200) & (ds4.hrlw<=200)))
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.hrlw[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.hrlw>=-200) & (ds5.hrlw<=200)))
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.hrlw[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.hrlw>=-200) & (ds6.hrlw<=200)))
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.hrlw[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.hrlw>=-200) & (ds7.hrlw<=200)))
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.hrlw[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.hrlw>=-200) & (ds8.hrlw<=200)))
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.hrlw[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.hrlw>=-200) & (ds9.hrlw<=200)))
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.hrlw[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=np.nanmean(bin_means1, axis=1)
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=np.nanmean(bin_means2, axis=1)
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=np.nanmean(bin_means3, axis=1)
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=np.nanmean(bin_means4, axis=1)
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=np.nanmean(bin_means5, axis=1)
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=np.nanmean(bin_means6, axis=1)
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=np.nanmean(bin_means7, axis=1)
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=np.nanmean(bin_means8, axis=1)
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=np.nanmean(bin_means9, axis=1)
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("alltrajhrlw.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+#########################################################################################################################
+ds1=xr.open_dataset('../../../0.8/1m/crh/outtrace4.nc')
+ds2=xr.open_dataset('../../../0.4/1m/crh/outtrace4.nc')
+ds3=xr.open_dataset('../../../0.2/1m/crh/outtrace4.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/crh/outtrace4.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/crh/outtrace4.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/crh/outtrace4.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/crh/outtrace4.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/crh/outtrace4.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/crh/outtrace4.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.hrsw>=-200) & (ds1.hrsw<=200)))
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.hrsw[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.hrsw>=-200) & (ds2.hrsw<=200)))
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.hrsw[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.hrsw>=-200) & (ds3.hrsw<=200)))
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.hrsw[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.hrsw>=-200) & (ds4.hrsw<=200)))
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.hrsw[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.hrsw>=-200) & (ds5.hrsw<=200)))
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.hrsw[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.hrsw>=-200) & (ds6.hrsw<=200)))
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.hrsw[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.hrsw>=-200) & (ds7.hrsw<=200)))
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.hrsw[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.hrsw>=-200) & (ds8.hrsw<=200)))
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.hrsw[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.hrsw>=-200) & (ds9.hrsw<=200)))
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.hrsw[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=np.nanmean(bin_means1, axis=1)
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=np.nanmean(bin_means2, axis=1)
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=np.nanmean(bin_means3, axis=1)
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=np.nanmean(bin_means4, axis=1)
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=np.nanmean(bin_means5, axis=1)
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=np.nanmean(bin_means6, axis=1)
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=np.nanmean(bin_means7, axis=1)
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=np.nanmean(bin_means8, axis=1)
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=np.nanmean(bin_means9, axis=1)
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("alltrajhrsw.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+###################################################################################################
+
+ds1=xr.open_dataset('../../../0.8/1m/crh/outtrace4.nc')
+ds2=xr.open_dataset('../../../0.4/1m/crh/outtrace4.nc')
+ds3=xr.open_dataset('../../../0.2/1m/crh/outtrace4.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/crh/outtrace4.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/crh/outtrace4.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/crh/outtrace4.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/crh/outtrace4.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/crh/outtrace4.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/crh/outtrace4.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.hrswnet>=-20) & (ds1.hrswnet<=20)))
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.hrswnet[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.hrswnet>=-20) & (ds2.hrswnet<=20)))
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.hrswnet[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.hrswnet>=-20) & (ds3.hrswnet<=20)))
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.hrswnet[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.hrswnet>=-20) & (ds4.hrswnet<=20)))
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.hrswnet[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.hrswnet>=-20) & (ds5.hrswnet<=20)))
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.hrswnet[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.hrswnet>=-20) & (ds6.hrswnet<=20)))
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.hrswnet[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.hrswnet>=-20) & (ds7.hrswnet<=20)))
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.hrswnet[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.hrswnet>=-20) & (ds8.hrswnet<=20)))
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.hrswnet[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.hrswnet>=-20) & (ds9.hrswnet<=20)))
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.hrswnet[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=np.nanmean(bin_means1, axis=1)
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=np.nanmean(bin_means2, axis=1)
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=np.nanmean(bin_means3, axis=1)
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=np.nanmean(bin_means4, axis=1)
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=np.nanmean(bin_means5, axis=1)
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=np.nanmean(bin_means6, axis=1)
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=np.nanmean(bin_means7, axis=1)
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=np.nanmean(bin_means8, axis=1)
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=np.nanmean(bin_means9, axis=1)
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("alltrajhrswnet.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+##########################################################################################
+
+ds1=xr.open_dataset('../../../0.8/1m/crh/outtrace4.nc')
+ds2=xr.open_dataset('../../../0.4/1m/crh/outtrace4.nc')
+ds3=xr.open_dataset('../../../0.2/1m/crh/outtrace4.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/crh/outtrace4.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/crh/outtrace4.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/crh/outtrace4.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/crh/outtrace4.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/crh/outtrace4.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/crh/outtrace4.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.hrlwnet>=-200) & (ds1.hrlwnet<=200)))
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.hrlwnet[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.hrlwnet>=-200) & (ds2.hrlwnet<=200)))
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.hrlwnet[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.hrlwnet>=-200) & (ds3.hrlwnet<=200)))
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.hrlwnet[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.hrlwnet>=-200) & (ds4.hrlwnet<=200)))
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.hrlwnet[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.hrlwnet>=-200) & (ds5.hrlwnet<=200)))
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.hrlwnet[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.hrlwnet>=-200) & (ds6.hrlwnet<=200)))
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.hrlwnet[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.hrlwnet>=-200) & (ds7.hrlwnet<=200)))
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.hrlwnet[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.hrlwnet>=-200) & (ds8.hrlwnet<=200)))
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.hrlwnet[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.hrlwnet>=-200) & (ds9.hrlwnet<=200)))
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.hrlwnet[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=np.nanmean(bin_means1, axis=1)
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=np.nanmean(bin_means2, axis=1)
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=np.nanmean(bin_means3, axis=1)
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=np.nanmean(bin_means4, axis=1)
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=np.nanmean(bin_means5, axis=1)
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=np.nanmean(bin_means6, axis=1)
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=np.nanmean(bin_means7, axis=1)
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=np.nanmean(bin_means8, axis=1)
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=np.nanmean(bin_means9, axis=1)
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("alltrajhrlwnet.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+############################################################################
diff --git a/scripts/processing_scripts/dhr/radiative_heating_calculation.py b/scripts/processing_scripts/dhr/radiative_heating_calculation.py
new file mode 100755
index 0000000..d52e6ec
--- /dev/null
+++ b/scripts/processing_scripts/dhr/radiative_heating_calculation.py
@@ -0,0 +1,77 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+import xarray as xr
+import numpy as np
+import glob
+import os
+import time
+import sys
+
+
+# In[108]:
+
+
+filename = sorted(glob.glob('P2016*'))
+
+
+# In[258]:
+
+for x in range(1):
+ filename1 = sys.argv[1]
+ #ofilename = filename1 + '.nc4'
+ ofilename=filename1.replace("P", "S")
+ print('Input file:', filename1, 'Output file:', ofilename)
+
+ tt=time.process_time()
+
+ ds=xr.open_dataset(filename1)
+
+
+ g = 9.81
+ cv_dry = 717.6
+ pdiff=-ds['P'].diff('height', label='lower')*100
+ flx=(ds['LWFLXALL'] - ds['LWFLXCLR']) + (ds['SWFLXALL']- ds['SWFLXCLR'])
+ flxlw=ds['LWFLXALL']
+ flxsw=ds['SWFLXALL']
+ flxlwnet=ds['LWFLXALL']- ds['LWFLXCLR']
+ flxswnet=ds['SWFLXALL']- ds['SWFLXCLR']
+
+ flx=flx.rename('flx')
+ flxdiff=flx.diff('height', label='lower')
+ hr=+86400 * (g/cv_dry) * (flxdiff/pdiff)
+ hr=hr.rename('hr')
+
+
+ flxlwdiff=flxlw.diff('height', label='lower')
+ hrlw=+86400 * (g/cv_dry) * (flxlwdiff/pdiff)
+ hrlw=hrlw.rename('hrlw')
+
+ flxswdiff=flxsw.diff('height', label='lower')
+ hrsw=+86400 * (g/cv_dry) * (flxswdiff/pdiff)
+ hrsw=hrsw.rename('hrsw')
+
+ flxlwnetdiff=flxlwnet.diff('height', label='lower')
+ hrlwnet=+86400 * (g/cv_dry) * (flxlwnetdiff/pdiff)
+ hrlwnet=hrlwnet.rename('hrlwnet')
+
+ flxswnetdiff=flxswnet.diff('height', label='lower')
+ hrswnet=+86400 * (g/cv_dry) * (flxswnetdiff/pdiff)
+ hrswnet=hrswnet.rename('hrswnet')
+
+
+ #merging of all calculations
+
+ final= xr.merge([flx, hr, hrlw, hrsw, hrlwnet, hrswnet])
+
+ path = ofilename
+ if os.path.exists(path):
+ os.remove(path)
+
+ #ds.to_netcdf(path=ofilename, format='NETCDF4_CLASSIC')
+ final.to_netcdf(path=ofilename, engine='netcdf4')
+
+ print('Time for calculation of whole script:', time.process_time() - tt)
diff --git a/scripts/processing_scripts/dynamical_variables/av/av.py b/scripts/processing_scripts/dynamical_variables/av/av.py
new file mode 100755
index 0000000..b88fc1f
--- /dev/null
+++ b/scripts/processing_scripts/dynamical_variables/av/av.py
@@ -0,0 +1,660 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+import xarray as xr
+import pickle
+from scipy import stats
+from scipy import *
+import matplotlib.pyplot as plt
+import numpy as np
+import warnings
+warnings.simplefilter("ignore")
+
+
+# In[16]:
+
+
+########alltraj##################################################
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace2.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.AV>=-200) & (ds1.AV<=200)), other=0)
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.AV[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.AV>=-200) & (ds2.AV<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.AV[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.AV>=-200) & (ds3.AV<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.AV[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.AV>=-200) & (ds4.AV<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.AV[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.AV>=-200) & (ds5.AV<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.AV[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.AV>=-200) & (ds6.AV<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.AV[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.AV>=-200) & (ds7.AV<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.AV[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.AV>=-200) & (ds8.AV<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.AV[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.AV>=-200) & (ds9.AV<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.AV[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=bin_means1
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeanalltraj.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+########################################traj1#########################################################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace2box1.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2box1.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2box1.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2box1.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2box1.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2box1.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2box1.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2box1.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2box1.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.AV>=-200) & (ds1.AV<=200)), other=0)
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.AV[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.AV>=-200) & (ds2.AV<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.AV[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.AV>=-200) & (ds3.AV<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.AV[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.AV>=-200) & (ds4.AV<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.AV[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.AV>=-200) & (ds5.AV<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.AV[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.AV>=-200) & (ds6.AV<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.AV[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.AV>=-200) & (ds7.AV<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.AV[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.AV>=-200) & (ds8.AV<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.AV[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.AV>=-200) & (ds9.AV<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.AV[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=bin_means1
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeantraj1.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+#####################################traj2###########################################################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace2box2.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2box2.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2box2.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2box2.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2box2.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2box2.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2box2.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2box2.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2box2.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.AV>=-200) & (ds1.AV<=200)), other=0)
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.AV[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.AV>=-200) & (ds2.AV<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.AV[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.AV>=-200) & (ds3.AV<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.AV[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.AV>=-200) & (ds4.AV<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.AV[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.AV>=-200) & (ds5.AV<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.AV[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.AV>=-200) & (ds6.AV<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.AV[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.AV>=-200) & (ds7.AV<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.AV[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.AV>=-200) & (ds8.AV<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.AV[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.AV>=-200) & (ds9.AV<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.AV[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=bin_means1
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeantraj2.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+###################################traj3##############################################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace2box3.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2box3.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2box3.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2box3.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2box3.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2box3.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2box3.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2box3.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2box3.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.AV>=-200) & (ds1.AV<=200)), other=0)
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.AV[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.AV>=-200) & (ds2.AV<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.AV[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.AV>=-200) & (ds3.AV<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.AV[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.AV>=-200) & (ds4.AV<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.AV[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.AV>=-200) & (ds5.AV<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.AV[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.AV>=-200) & (ds6.AV<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.AV[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.AV>=-200) & (ds7.AV<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.AV[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.AV>=-200) & (ds8.AV<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.AV[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.AV>=-200) & (ds9.AV<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.AV[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=bin_means1
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeantraj3.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+
+############################################traj4###################################
+
+
+#ds1=xr.open_dataset('../../../0.8/1m/outtrace2box4.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2box4.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2box4.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2box4.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2box4.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2box4.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2box4.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2box4.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2box4.nc')
+
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.AV>=-200) & (ds2.AV<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.AV[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.AV>=-200) & (ds3.AV<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.AV[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.AV>=-200) & (ds4.AV<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.AV[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.AV>=-200) & (ds5.AV<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.AV[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.AV>=-200) & (ds6.AV<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.AV[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.AV>=-200) & (ds7.AV<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.AV[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.AV>=-200) & (ds8.AV<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.AV[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.AV>=-200) & (ds9.AV<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.AV[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeantraj4.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+#########################################################################
diff --git a/scripts/processing_scripts/dynamical_variables/av/av_cal.py b/scripts/processing_scripts/dynamical_variables/av/av_cal.py
new file mode 100755
index 0000000..c90271c
--- /dev/null
+++ b/scripts/processing_scripts/dynamical_variables/av/av_cal.py
@@ -0,0 +1,47 @@
+# coding: utf-8
+
+# In[1]:
+
+import xarray as xr
+import glob
+import os
+import time
+import sys
+
+
+filename = sorted(glob.glob('P2016*'))
+
+
+# In[258]:
+
+for x in range(1):
+ filename1 = sys.argv[1]
+ #ofilename = filename1 + '.nc4'
+ ofilename=filename1.replace("P", "S")
+ print('Input file:', filename1, 'Output file:', ofilename)
+
+ tt=time.process_time()
+
+ ds=xr.open_dataset(filename1)
+
+
+ u=ds.U
+ v=ds.V
+ lon=ds.lon
+ lat=ds.lat
+ dvdx = v.differentiate('lon')*180/3.1416
+ dudy = (u*xr.ufuncs.cos(lat*3.1416/180)).differentiate('lat')*180/3.1416
+
+ relvort=(dvdx-dudy)/(6.37e6*xr.ufuncs.cos(lat*3.1416/180))
+ f=0.00014544*xr.ufuncs.sin(lat*0.017453292)
+ AV=relvort+f
+ AV=AV.rename('AV')
+ del u, v, lon, lat, relvort, f
+
+
+
+
+
+ print('Time for calculation of whole script:', time.process_time() - tt)
+
+
diff --git a/scripts/processing_scripts/dynamical_variables/pv/pv.py b/scripts/processing_scripts/dynamical_variables/pv/pv.py
new file mode 100755
index 0000000..5477ec4
--- /dev/null
+++ b/scripts/processing_scripts/dynamical_variables/pv/pv.py
@@ -0,0 +1,660 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+import xarray as xr
+import pickle
+from scipy import stats
+from scipy import *
+import matplotlib.pyplot as plt
+import numpy as np
+import warnings
+warnings.simplefilter("ignore")
+
+
+# In[16]:
+
+
+########alltraj##################################################
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace2.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.PV>=-200) & (ds1.PV<=200)), other=0)
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.PV[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.PV>=-200) & (ds2.PV<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.PV[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.PV>=-200) & (ds3.PV<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.PV[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.PV>=-200) & (ds4.PV<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.PV[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.PV>=-200) & (ds5.PV<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.PV[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.PV>=-200) & (ds6.PV<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.PV[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.PV>=-200) & (ds7.PV<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.PV[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.PV>=-200) & (ds8.PV<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.PV[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.PV>=-200) & (ds9.PV<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.PV[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=bin_means1
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeanalltraj.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+########################################traj1#########################################################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace2box1.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2box1.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2box1.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2box1.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2box1.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2box1.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2box1.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2box1.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2box1.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.PV>=-200) & (ds1.PV<=200)), other=0)
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.PV[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.PV>=-200) & (ds2.PV<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.PV[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.PV>=-200) & (ds3.PV<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.PV[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.PV>=-200) & (ds4.PV<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.PV[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.PV>=-200) & (ds5.PV<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.PV[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.PV>=-200) & (ds6.PV<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.PV[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.PV>=-200) & (ds7.PV<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.PV[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.PV>=-200) & (ds8.PV<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.PV[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.PV>=-200) & (ds9.PV<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.PV[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=bin_means1
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeantraj1.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+#####################################traj2###########################################################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace2box2.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2box2.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2box2.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2box2.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2box2.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2box2.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2box2.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2box2.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2box2.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.PV>=-200) & (ds1.PV<=200)), other=0)
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.PV[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.PV>=-200) & (ds2.PV<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.PV[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.PV>=-200) & (ds3.PV<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.PV[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.PV>=-200) & (ds4.PV<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.PV[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.PV>=-200) & (ds5.PV<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.PV[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.PV>=-200) & (ds6.PV<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.PV[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.PV>=-200) & (ds7.PV<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.PV[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.PV>=-200) & (ds8.PV<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.PV[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.PV>=-200) & (ds9.PV<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.PV[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=bin_means1
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeantraj2.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+###################################traj3##############################################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace2box3.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2box3.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2box3.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2box3.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2box3.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2box3.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2box3.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2box3.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2box3.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.PV>=-200) & (ds1.PV<=200)), other=0)
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.PV[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.PV>=-200) & (ds2.PV<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.PV[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.PV>=-200) & (ds3.PV<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.PV[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.PV>=-200) & (ds4.PV<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.PV[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.PV>=-200) & (ds5.PV<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.PV[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.PV>=-200) & (ds6.PV<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.PV[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.PV>=-200) & (ds7.PV<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.PV[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.PV>=-200) & (ds8.PV<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.PV[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.PV>=-200) & (ds9.PV<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.PV[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=bin_means1
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeantraj3.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+
+############################################traj4###################################
+
+
+#ds1=xr.open_dataset('../../../0.8/1m/outtrace2box4.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2box4.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2box4.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2box4.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2box4.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2box4.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2box4.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2box4.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2box4.nc')
+
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.PV>=-200) & (ds2.PV<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.PV[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.PV>=-200) & (ds3.PV<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.PV[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.PV>=-200) & (ds4.PV<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.PV[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.PV>=-200) & (ds5.PV<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.PV[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.PV>=-200) & (ds6.PV<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.PV[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.PV>=-200) & (ds7.PV<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.PV[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.PV>=-200) & (ds8.PV<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.PV[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.PV>=-200) & (ds9.PV<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.PV[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeantraj4.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+#########################################################################
diff --git a/scripts/processing_scripts/dynamical_variables/w/w.py b/scripts/processing_scripts/dynamical_variables/w/w.py
new file mode 100755
index 0000000..8d2bc20
--- /dev/null
+++ b/scripts/processing_scripts/dynamical_variables/w/w.py
@@ -0,0 +1,660 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+import xarray as xr
+import pickle
+from scipy import stats
+from scipy import *
+import matplotlib.pyplot as plt
+import numpy as np
+import warnings
+warnings.simplefilter("ignore")
+
+
+# In[16]:
+
+
+########alltraj##################################################
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace2.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.W>=-200) & (ds1.W<=200)), other=0)
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.W[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.W>=-200) & (ds2.W<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.W[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.W>=-200) & (ds3.W<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.W[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.W>=-200) & (ds4.W<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.W[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.W>=-200) & (ds5.W<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.W[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.W>=-200) & (ds6.W<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.W[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.W>=-200) & (ds7.W<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.W[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.W>=-200) & (ds8.W<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.W[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.W>=-200) & (ds9.W<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.W[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=bin_means1
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeanalltraj.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+########################################traj1#########################################################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace2box1.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2box1.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2box1.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2box1.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2box1.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2box1.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2box1.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2box1.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2box1.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.W>=-200) & (ds1.W<=200)), other=0)
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.W[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.W>=-200) & (ds2.W<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.W[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.W>=-200) & (ds3.W<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.W[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.W>=-200) & (ds4.W<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.W[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.W>=-200) & (ds5.W<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.W[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.W>=-200) & (ds6.W<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.W[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.W>=-200) & (ds7.W<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.W[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.W>=-200) & (ds8.W<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.W[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.W>=-200) & (ds9.W<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.W[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=bin_means1
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeantraj1.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+#####################################traj2###########################################################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace2box2.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2box2.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2box2.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2box2.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2box2.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2box2.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2box2.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2box2.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2box2.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.W>=-200) & (ds1.W<=200)), other=0)
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.W[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.W>=-200) & (ds2.W<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.W[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.W>=-200) & (ds3.W<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.W[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.W>=-200) & (ds4.W<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.W[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.W>=-200) & (ds5.W<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.W[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.W>=-200) & (ds6.W<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.W[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.W>=-200) & (ds7.W<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.W[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.W>=-200) & (ds8.W<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.W[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.W>=-200) & (ds9.W<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.W[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=bin_means1
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeantraj2.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+###################################traj3##############################################
+
+
+ds1=xr.open_dataset('../../../0.8/1m/outtrace2box3.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2box3.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2box3.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2box3.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2box3.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2box3.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2box3.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2box3.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2box3.nc')
+
+ntim,ntra=ds1.P.shape
+nbins=10
+ds1=ds1.where(((ds1.W>=-200) & (ds1.W<=200)), other=0)
+bin_means1 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds1.P[:,i].squeeze()
+ dpvr_tot1=ds1.W[:,i].squeeze()
+ bin_means1[:, i], bin_edges1, binnumber1= stats.binned_statistic(P, dpvr_tot1, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.W>=-200) & (ds2.W<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.W[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.W>=-200) & (ds3.W<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.W[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.W>=-200) & (ds4.W<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.W[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.W>=-200) & (ds5.W<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.W[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.W>=-200) & (ds6.W<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.W[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.W>=-200) & (ds7.W<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.W[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.W>=-200) & (ds8.W<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.W[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.W>=-200) & (ds9.W<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.W[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+y1=bin_means1
+x1=bin_edges1[:-1] + np.diff(bin_edges1)/2
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x1,y1), (x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeantraj3.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds1,ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+
+############################################traj4###################################
+
+
+#ds1=xr.open_dataset('../../../0.8/1m/outtrace2box4.nc')
+ds2=xr.open_dataset('../../../0.4/1m/outtrace2box4.nc')
+ds3=xr.open_dataset('../../../0.2/1m/outtrace2box4.nc')
+ds4=xr.open_dataset('../../../0.1convon/1m/outtrace2box4.nc')
+ds5=xr.open_dataset('../../../0.05convon/1m/outtrace2box4.nc')
+ds6=xr.open_dataset('../../../0.025convon/1m/outtrace2box4.nc')
+ds7=xr.open_dataset('../../../0.1convoff/1m/outtrace2box4.nc')
+ds8=xr.open_dataset('../../../0.05convoff/1m/outtrace2box4.nc')
+ds9=xr.open_dataset('../../../0.025convoff/1m/outtrace2box4.nc')
+
+
+ntim,ntra=ds2.P.shape
+nbins=10
+ds2=ds2.where(((ds2.W>=-200) & (ds2.W<=200)), other=0)
+bin_means2 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds2.P[:,i].squeeze()
+ dpvr_tot2=ds2.W[:,i].squeeze()
+ bin_means2[:, i], bin_edges2, binnumber2= stats.binned_statistic(P, dpvr_tot2, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds3.P.shape
+nbins=10
+ds3=ds3.where(((ds3.W>=-200) & (ds3.W<=200)), other=0)
+bin_means3 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds3.P[:,i].squeeze()
+ dpvr_tot3=ds3.W[:,i].squeeze()
+ bin_means3[:, i], bin_edges3, binnumber3= stats.binned_statistic(P, dpvr_tot3, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds4.P.shape
+nbins=10
+ds4=ds4.where(((ds4.W>=-200) & (ds4.W<=200)), other=0)
+bin_means4 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds4.P[:,i].squeeze()
+ dpvr_tot4=ds4.W[:,i].squeeze()
+ bin_means4[:, i], bin_edges4, binnumber4= stats.binned_statistic(P, dpvr_tot4, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds5.P.shape
+nbins=10
+ds5=ds5.where(((ds5.W>=-200) & (ds5.W<=200)), other=0)
+bin_means5 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds5.P[:,i].squeeze()
+ dpvr_tot5=ds5.W[:,i].squeeze()
+ bin_means5[:, i], bin_edges5, binnumber5= stats.binned_statistic(P, dpvr_tot5, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds6.P.shape
+nbins=10
+ds6=ds6.where(((ds6.W>=-200) & (ds6.W<=200)), other=0)
+bin_means6 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds6.P[:,i].squeeze()
+ dpvr_tot6=ds6.W[:,i].squeeze()
+ bin_means6[:, i], bin_edges6, binnumber6= stats.binned_statistic(P, dpvr_tot6, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds7.P.shape
+nbins=10
+ds7=ds7.where(((ds7.W>=-200) & (ds7.W<=200)), other=0)
+bin_means7 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds7.P[:,i].squeeze()
+ dpvr_tot7=ds7.W[:,i].squeeze()
+ bin_means7[:, i], bin_edges7, binnumber7= stats.binned_statistic(P, dpvr_tot7, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds8.P.shape
+nbins=10
+ds8=ds8.where(((ds8.W>=-200) & (ds8.W<=200)), other=0)
+bin_means8 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds8.P[:,i].squeeze()
+ dpvr_tot8=ds8.W[:,i].squeeze()
+ bin_means8[:, i], bin_edges8, binnumber8= stats.binned_statistic(P, dpvr_tot8, mean, bins=nbins, range=(200,1050))
+
+ntim,ntra=ds9.P.shape
+nbins=10
+ds9=ds9.where(((ds9.W>=-200) & (ds9.W<=200)), other=0)
+bin_means9 = np.full((nbins, ntra), np.nan)
+for i in range(ntra):
+ P=ds9.P[:,i].squeeze()
+ dpvr_tot9=ds9.W[:,i].squeeze()
+ bin_means9[:, i], bin_edges9, binnumber9= stats.binned_statistic(P, dpvr_tot9, mean, bins=nbins, range=(200,1050))
+
+
+
+y2=bin_means2
+x2=bin_edges2[:-1] + np.diff(bin_edges2)/2
+
+y3=bin_means3
+x3=bin_edges3[:-1] + np.diff(bin_edges3)/2
+
+y4=bin_means4
+x4=bin_edges4[:-1] + np.diff(bin_edges4)/2
+
+y5=bin_means5
+x5=bin_edges5[:-1] + np.diff(bin_edges5)/2
+
+y6=bin_means6
+x6=bin_edges6[:-1] + np.diff(bin_edges6)/2
+
+y7=bin_means7
+x7=bin_edges7[:-1] + np.diff(bin_edges7)/2
+
+y8=bin_means8
+x8=bin_edges8[:-1] + np.diff(bin_edges8)/2
+
+y9=bin_means9
+x9=bin_edges9[:-1] + np.diff(bin_edges9)/2
+
+dtot= ((x2,y2), (x3,y3), (x4,y4), (x5,y5), (x6,y6), (x7,y7), (x8,y8), (x9,y9))
+
+with open("binmeantraj4.pkl","wb") as f:
+ pickle.dump(dtot,f)
+
+
+del ds2,ds3,ds4, ds5, ds6, ds7, ds8, ds9
+
+#########################################################################
diff --git a/scripts/processing_scripts/ipv/ipv.py b/scripts/processing_scripts/ipv/ipv.py
new file mode 100755
index 0000000..25b7d66
--- /dev/null
+++ b/scripts/processing_scripts/ipv/ipv.py
@@ -0,0 +1,348 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[38]:
+
+
+import numpy as np
+import numpy.ma as ma
+import netCDF4
+import matplotlib.pyplot as plt
+import matplotlib.ticker as mticker
+import cartopy.crs as ccrs
+from scipy.ndimage import gaussian_filter
+from cartopy.feature import NaturalEarthFeature
+from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
+from datetime import datetime
+import cartopy.feature as cfeature
+import cartopy.util as cutil
+import scipy.ndimage as ndimage
+from pylab import text
+import xarray as xr
+import pickle
+
+# In[61]:
+
+
+# VALUES TO SET *************************************************
+# set date, lat-lon range, and PV-value definition of tropopause
+mydate='20160923'
+myhour='12'
+sel_tim = 0 # timestep after initialization (note that in GFS 0.25 is 3h)
+(lat1,lat2)=(25,75)
+(lon1,lon2)=(-60,29.975)
+tpdef=2 # definition of tropopause in PVU
+#****************************************************************
+#lon1=lon1+360
+#lon2=lon2+360
+
+
+# In[62]:
+
+
+# some constants
+re=6.37e6
+g=9.81
+cp=1004.5
+r=2*cp/7
+kap=r/cp
+omega=7.292e-5
+pi=3.14159265
+
+
+# In[82]:
+
+
+# open dataset, retreive variables, close dataset
+# analysis
+#url='http://nomads.ncep.noaa.gov:80/dods/gfs_0p25/gfs'+\
+#mydate+'/gfs_0p25_'+myhour+'z_anl'
+
+# forecast
+#url='http://nomads.ncep.noaa.gov:80/dods/gfs_0p25/gfs'+\
+#mydate+'/gfs_0p25_'+myhour+'z'
+
+file = netCDF4.Dataset('input2.nc')
+lat_in = file.variables['lat'][:]
+lon_in = file.variables['lon'][:]
+lev = (file.variables['plev'][:])/100
+time_in = file.variables['time'][:]
+pres2pv_in = (file.variables['PS'][sel_tim,:,:,:])
+t_in = file.variables['T'][sel_tim,:,:,:]
+u_in = file.variables['U'][sel_tim,:,:,:]
+v_in = file.variables['V'][sel_tim,:,:,:]
+hgt_in = file.variables['z_mc'][sel_tim,:,:,:]
+file.close()
+
+print('####################')
+print('')
+print(' Start calculations ')
+print('')
+print('####################')
+
+
+# In[71]:
+
+
+# get array indices for lat-lon range
+# specified above
+iy1 = np.argmin( np.abs( lat_in - lat1 ) )
+iy2 = np.argmin( np.abs( lat_in - lat2 ) )
+ix1 = np.argmin( np.abs( lon_in - lon1 ) )
+ix2 = np.argmin( np.abs( lon_in - lon2 ) )
+
+
+# In[101]:
+
+
+# select specified lat-lon range
+t=t_in[:,iy1:iy2,ix1:ix2]
+lon=lon_in[ix1:ix2]
+lat=lat_in[iy1:iy2]
+u=u_in[:,iy1:iy2,ix1:ix2]
+v=v_in[:,iy1:iy2,ix1:ix2]
+hgt=hgt_in[:,iy1:iy2,ix1:ix2]
+pres2pv=pres2pv_in[:,iy1:iy2,ix1:ix2]
+
+
+# In[108]:
+
+
+# some prep work for derivatives
+xlon,ylat=np.meshgrid(lon,lat)
+dlony,dlonx=np.gradient(xlon)
+dlaty,dlatx=np.gradient(ylat)
+dx=re*np.cos(ylat*pi/180)*dlonx*pi/180
+dy=re*dlaty*pi/180
+
+
+# In[122]:
+
+
+# define potential temperature and Coriolis parameter
+theta=t*(1.E5/(lev[:,np.newaxis,np.newaxis]*100))**kap
+f=2*omega*np.sin(ylat*pi/180)
+
+
+# In[112]:
+
+
+# calculate derivatives
+# (np.gradient can handle 1D uneven spacing,
+# so build that in for p, but do dx and dy
+# external to the function since they are 2D)
+ddp_theta=np.gradient(theta,lev*100,axis=0)
+ddx_theta=np.gradient(theta,axis=2)/dx
+ddy_theta=np.gradient(theta,axis=1)/dy
+ddp_u=np.gradient(u,lev*100,axis=0)
+ddp_v=np.gradient(v,lev*100,axis=0)
+ddx_v=np.gradient(v,axis=2)/dx
+ddy_ucos=np.gradient(u*np.cos(ylat*pi/180),axis=1)/dy
+
+
+# In[11]:
+
+
+# calculate contributions to PV and PV
+absvort=ddx_v-(1/np.cos(ylat*pi/180))*ddy_ucos+f
+pv_one=g*absvort*(-ddp_theta)
+pv_two=g*(ddp_v*ddx_theta-ddp_u*ddy_theta)
+pv=pv_one+pv_two
+
+
+# In[12]:
+
+
+# Calculate pressure of tropopause as well as potential temperature (theta) and height
+#
+# starting from 100hPa and working down, to avoid more complicated vertical structure higher up
+nx=ix2-ix1+1
+ny=iy2-iy1+1
+nz=lev.size
+nzs=np.argwhere(lev==100)[0,0]
+tp=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+tp_theta=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+tp_hgt=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+
+for ix in range(0,nx-1):
+ for iy in range(0,ny-1):
+ for iz in range(nzs,0,-1):
+ if pv[iz,iy,ix]/1e-6<=tpdef:
+ if np.isnan(tp[iy,ix]):
+ tp[iy,ix]=(
+ (lev[iz]*(pv[iz+1,iy,ix]-tpdef*1e-6)
+ -lev[iz+1]*(pv[iz,iy,ix]-tpdef*1e-6))/
+ (pv[iz+1,iy,ix]-pv[iz,iy,ix])
+ )
+
+ tp_theta[iy,ix]=(
+ ((lev[iz]-tp[iy,ix])*theta[iz+1,iy,ix]+
+ (tp[iy,ix]-lev[iz+1])*theta[iz,iy,ix])/
+ (lev[iz]-lev[iz+1])
+ )
+
+ tp_hgt[iy,ix]=(
+ ((lev[iz]-tp[iy,ix])*hgt[iz+1,iy,ix]+
+ (tp[iy,ix]-lev[iz+1])*hgt[iz,iy,ix])/
+ (lev[iz]-lev[iz+1])
+ )
+
+
+# In[ ]:
+
+
+# calculate PV on the 320K isentropic surface
+# (also not in a pythonic way)
+nx=ix2-ix1+1
+ny=iy2-iy1+1
+nz=lev.size
+pv320=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+for ix in range(0,nx-1):
+ for iy in range(0,ny-1):
+ for iz in range(nz-2,0,-1):
+ if theta[iz,iy,ix]>=320:
+ if theta[iz-1,iy,ix]<=320:
+ if np.isnan(pv320[iy,ix]):
+ pv320[iy,ix]=(
+ ((320-theta[iz-1,iy,ix])*pv[iz,iy,ix]+
+ (theta[iz,iy,ix]-320)*pv[iz-1,iy,ix])/
+ (theta[iz,iy,ix]-theta[iz-1,iy,ix])
+ )
+
+
+# In[ ]:
+
+
+# we smooth the data
+pv320=gaussian_filter(pv320,sigma=1)
+
+with open("ipv23.pkl","wb") as f:
+ pickle.dump(pv320,f)
+# define spatial correlation function for testing results
+#def scorr(a,b):
+# abar=np.mean(a)
+# bbar=np.mean(b)
+# covar=sum((a-abar)*(b-bbar))
+# avar=sum((a-abar)**2)
+# bvar=sum((b-bbar)**2)
+# r=covar/np.sqrt(avar*bvar)
+# return(r)
+
+
+# In[ ]:
+
+
+# identify latitude of lowest tropopause (there are some issues with this one)
+maxloc=np.argwhere(tp==np.amax(tp))
+latmax=lat[maxloc[0,0]]
+
+with open("latmax23.pkl","wb") as f:
+ pickle.dump(latmax,f)
+
+# In[ ]:
+
+
+#%%
+print('####################')
+print('')
+print(' Start plots ')
+print('')
+print('####################')
+
+#states_provinces = cfeature.NaturalEarthFeature(
+# category='cultural',
+# name='admin_1_states_provinces_lines',
+# scale='50m',
+# facecolor='none')
+# y tates = NaturalEarthFeature(category='cultural',
+# scale='110m', facecolor='none',
+# name='admin_0_countries')
+fdate=datetime.strptime(mydate, '%Y%m%d').strftime('%d %b %Y')
+
+#pv320B , cycl_lon = cutil.add_cyclic_point(pv320,coord=lon)
+#hgt_inB, cycl_lon2 = cutil.add_cyclic_point(hgt_in,coord=lon_in)
+
+plt.figure(figsize=(13, 13))
+plt.rcParams.update({'font.size': 20})
+#ax = plt.axes(projection=ccrs.NearsidePerspective(central_latitude=40,central_longitude=15,satellite_height=15785831 ))
+ax = plt.subplot(1,1,1,projection=ccrs.PlateCarree()) #PlateCarree() #NearsidePerspective(central_longitude=25.0, central_latitude=50.0, satellite_height=35785831, false_easting=0, false_northing=0, globe=None)
+
+ax.set_xticks([-50,-40,-30,-20,-10,0,10,20], crs=ccrs.PlateCarree())
+ax.set_xticklabels(['50W','40W','30W','20W','10W','EQ','10E','20E'])
+ax.set_yticks([30,40,50,60,70], crs=ccrs.PlateCarree())
+ax.set_yticklabels(['30N','40N','50N','60N','70N'])
+ax.set_extent([-50, 20, 30, 70])
+ax.coastlines()
+
+#ax.set_global()
+#ax.add_feature(states_provinces,linewidth=0.9, edgecolor='k')
+#ax.add_feature(cfeature.BORDERS,linewidth=0.9, linestyle='--', alpha=0.3)
+#ax.add_feature(cfeature.LAND.with_scale('50m'),facecolor='dimgrey',alpha=0.3) #land_alt1
+#ax.coastlines('50m', linewidth=0.8,color='k')
+#clevs2 = np.arange(-0.5,9,12)
+clevs2 = [-0.5,0.2,0.7,1,1.5,2.0,4,5,6,7,8,9,10]
+cl = plt.contour( lon,lat,pv320/1e-6,clevs2,colors='gray',linewidths=0.3,extend='both',transform=ccrs.PlateCarree())
+cp = plt.contourf(lon,lat,pv320/1e-6,clevs2,cmap='Spectral_r', extend='both',transform=ccrs.PlateCarree()) #RdBu_r
+
+#cbar = plt.colorbar(cp, orientation='horizontal',fraction=0.05, pad=0.04)
+#cbar.set_label('PVU',fontsize=12)
+#bounds = ['-0.5','0.2','0.7','1','1.5','2','4','5','6','7','8','9','10']
+#cbar.set_ticklabels(bounds)
+#cbar.ax.tick_params(labelsize=12)
+
+#ds=xr.open_dataset('other/slp23t12')
+
+#clevs = np.arange(960,1040,4)
+#pres_msl=ds.pres_msl.squeeze('time')
+#cs = plt.contour(lon,lat,pres_msl/100,clevs, colors='brown',linewidths=1.)
+#plt.clabel(cs, fmt='%d', fontsize=9, inline=1)
+#clevs3=np.arange(480,600,10)
+#cs = plt.contour(lon,lat,hgt[3,:,:]/10,clevs3,transform=ccrs.PlateCarree(),colors='k',linewidths=1)
+#clabels = plt.clabel(cs,inline=1, fmt='%1.0f',ticks=clevs3, colors=('k',), fontsize=10)
+#[txt.set_bbox(dict(facecolor='white', edgecolor='none', pad=0)) for txt in clabels]
+#for l in clabels:
+# l.set_rotation(0)
+#gl = ax.gridlines(linewidth=1.9,color='k')
+#gl.xlabels_bottom = gl.ylabels_left = True
+#gl.xformatter = LONGITUDE_FORMATTER
+#gl.yformatter = LATITUDE_FORMATTER
+#gl.xlocator = mticker.FixedLocator(np.arange(-180.25,179.25,180))
+#gl.ylocator = mticker.FixedLocator(np.arange(0,90.1,90))
+#barbspace=25
+#ax.barbs(lon[::barbspace],lat[::barbspace],1.943846*np.nanmean(u[16:18,::barbspace,::barbspace],0),1.943846*np.nanmean(v[16:18,::barbspace,::barbspace],0),length=5,
+# sizes=dict(emptybarb=.1, spacing=.2, height=.5,facecolor='white'),
+# linewidth=0.7,color='k', transform=ccrs.PlateCarree())
+plt.title('(a) 2016-09-23T12:00:00',fontsize=24,weight='bold')
+#ax.annotate(
+# 'Plot by Georgios Papavasileiou (KIT) \n georgios.papavasileiou@kit.edu',
+# (0, 1),
+# xytext=(4, -4),
+# xycoords='axes fraction',
+# textcoords='offset points',
+# fontweight='bold',
+# color='white',
+# backgroundcolor='k',
+# ha='left', va='top')
+#ax.annotate(
+# '[GFS] Initialized: '+myhour+'Z '+fdate,
+# (0,0.054),
+# xytext=(4, -4),
+# xycoords='axes fraction',
+# textcoords='offset points',
+# fontweight='bold',
+# color='white',
+# backgroundcolor='k',
+# ha='left', va='top')
+#ax.annotate(
+# '[GFS] Analysis: '+myhour+'Z '+fdate,
+# (0,0.054),
+# xytext=(4, -4),
+# xycoords='axes fraction',
+# textcoords='offset points',
+# fontweight='bold',
+# color='white',
+# backgroundcolor='k',
+# ha='left', va='top')
+#plt.show()
+plt.savefig('PV_320K_23T12.png', dpi=600)
+#fig1.savefig('PV_320K_and500hPaGeopot_'+str(myhour)+'Z_'+str(fdate)+'.png',dpi=300,bbox_inches='tight')
diff --git a/scripts/processing_scripts/ipv/ipv22.py b/scripts/processing_scripts/ipv/ipv22.py
new file mode 100755
index 0000000..3d7fcd7
--- /dev/null
+++ b/scripts/processing_scripts/ipv/ipv22.py
@@ -0,0 +1,351 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[38]:
+
+
+import numpy as np
+import numpy.ma as ma
+import netCDF4
+import matplotlib.pyplot as plt
+import matplotlib.ticker as mticker
+import cartopy.crs as ccrs
+from scipy.ndimage import gaussian_filter
+from cartopy.feature import NaturalEarthFeature
+from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
+from datetime import datetime
+import cartopy.feature as cfeature
+import cartopy.util as cutil
+import scipy.ndimage as ndimage
+from pylab import text
+import xarray as xr
+import pickle
+
+
+# In[61]:
+
+
+# VALUES TO SET *************************************************
+# set date, lat-lon range, and PV-value definition of tropopause
+mydate='20160922'
+myhour='12'
+sel_tim = 0 # timestep after initialization (note that in GFS 0.25 is 3h)
+(lat1,lat2)=(25,75)
+(lon1,lon2)=(-60,29.975)
+tpdef=2 # definition of tropopause in PVU
+#****************************************************************
+#lon1=lon1+360
+#lon2=lon2+360
+
+
+# In[62]:
+
+
+# some constants
+re=6.37e6
+g=9.81
+cp=1004.5
+r=2*cp/7
+kap=r/cp
+omega=7.292e-5
+pi=3.14159265
+
+
+# In[82]:
+
+
+# open dataset, retreive variables, close dataset
+# analysis
+#url='http://nomads.ncep.noaa.gov:80/dods/gfs_0p25/gfs'+\
+#mydate+'/gfs_0p25_'+myhour+'z_anl'
+
+# forecast
+#url='http://nomads.ncep.noaa.gov:80/dods/gfs_0p25/gfs'+\
+#mydate+'/gfs_0p25_'+myhour+'z'
+
+file = netCDF4.Dataset('input1.nc')
+lat_in = file.variables['lat'][:]
+lon_in = file.variables['lon'][:]
+lev = (file.variables['plev'][:])/100
+time_in = file.variables['time'][:]
+pres2pv_in = (file.variables['PS'][sel_tim,:,:,:])
+t_in = file.variables['T'][sel_tim,:,:,:]
+u_in = file.variables['U'][sel_tim,:,:,:]
+v_in = file.variables['V'][sel_tim,:,:,:]
+hgt_in = file.variables['z_mc'][sel_tim,:,:,:]
+file.close()
+
+print('####################')
+print('')
+print(' Start calculations ')
+print('')
+print('####################')
+
+
+# In[71]:
+
+
+# get array indices for lat-lon range
+# specified above
+iy1 = np.argmin( np.abs( lat_in - lat1 ) )
+iy2 = np.argmin( np.abs( lat_in - lat2 ) )
+ix1 = np.argmin( np.abs( lon_in - lon1 ) )
+ix2 = np.argmin( np.abs( lon_in - lon2 ) )
+
+
+# In[101]:
+
+
+# select specified lat-lon range
+t=t_in[:,iy1:iy2,ix1:ix2]
+lon=lon_in[ix1:ix2]
+lat=lat_in[iy1:iy2]
+u=u_in[:,iy1:iy2,ix1:ix2]
+v=v_in[:,iy1:iy2,ix1:ix2]
+hgt=hgt_in[:,iy1:iy2,ix1:ix2]
+pres2pv=pres2pv_in[:,iy1:iy2,ix1:ix2]
+
+
+# In[108]:
+
+
+# some prep work for derivatives
+xlon,ylat=np.meshgrid(lon,lat)
+dlony,dlonx=np.gradient(xlon)
+dlaty,dlatx=np.gradient(ylat)
+dx=re*np.cos(ylat*pi/180)*dlonx*pi/180
+dy=re*dlaty*pi/180
+
+
+# In[122]:
+
+
+# define potential temperature and Coriolis parameter
+theta=t*(1.E5/(lev[:,np.newaxis,np.newaxis]*100))**kap
+f=2*omega*np.sin(ylat*pi/180)
+
+
+# In[112]:
+
+
+# calculate derivatives
+# (np.gradient can handle 1D uneven spacing,
+# so build that in for p, but do dx and dy
+# external to the function since they are 2D)
+ddp_theta=np.gradient(theta,lev*100,axis=0)
+ddx_theta=np.gradient(theta,axis=2)/dx
+ddy_theta=np.gradient(theta,axis=1)/dy
+ddp_u=np.gradient(u,lev*100,axis=0)
+ddp_v=np.gradient(v,lev*100,axis=0)
+ddx_v=np.gradient(v,axis=2)/dx
+ddy_ucos=np.gradient(u*np.cos(ylat*pi/180),axis=1)/dy
+
+
+# In[11]:
+
+
+# calculate contributions to PV and PV
+absvort=ddx_v-(1/np.cos(ylat*pi/180))*ddy_ucos+f
+pv_one=g*absvort*(-ddp_theta)
+pv_two=g*(ddp_v*ddx_theta-ddp_u*ddy_theta)
+pv=pv_one+pv_two
+
+
+# In[12]:
+
+
+# Calculate pressure of tropopause as well as potential temperature (theta) and height
+#
+# starting from 100hPa and working down, to avoid more complicated vertical structure higher up
+nx=ix2-ix1+1
+ny=iy2-iy1+1
+nz=lev.size
+nzs=np.argwhere(lev==100)[0,0]
+tp=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+tp_theta=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+tp_hgt=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+
+for ix in range(0,nx-1):
+ for iy in range(0,ny-1):
+ for iz in range(nzs,0,-1):
+ if pv[iz,iy,ix]/1e-6<=tpdef:
+ if np.isnan(tp[iy,ix]):
+ tp[iy,ix]=(
+ (lev[iz]*(pv[iz+1,iy,ix]-tpdef*1e-6)
+ -lev[iz+1]*(pv[iz,iy,ix]-tpdef*1e-6))/
+ (pv[iz+1,iy,ix]-pv[iz,iy,ix])
+ )
+
+ tp_theta[iy,ix]=(
+ ((lev[iz]-tp[iy,ix])*theta[iz+1,iy,ix]+
+ (tp[iy,ix]-lev[iz+1])*theta[iz,iy,ix])/
+ (lev[iz]-lev[iz+1])
+ )
+
+ tp_hgt[iy,ix]=(
+ ((lev[iz]-tp[iy,ix])*hgt[iz+1,iy,ix]+
+ (tp[iy,ix]-lev[iz+1])*hgt[iz,iy,ix])/
+ (lev[iz]-lev[iz+1])
+ )
+
+
+# In[ ]:
+
+
+# calculate PV on the 320K isentropic surface
+# (also not in a pythonic way)
+nx=ix2-ix1+1
+ny=iy2-iy1+1
+nz=lev.size
+pv320=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+for ix in range(0,nx-1):
+ for iy in range(0,ny-1):
+ for iz in range(nz-2,0,-1):
+ if theta[iz,iy,ix]>=320:
+ if theta[iz-1,iy,ix]<=320:
+ if np.isnan(pv320[iy,ix]):
+ pv320[iy,ix]=(
+ ((320-theta[iz-1,iy,ix])*pv[iz,iy,ix]+
+ (theta[iz,iy,ix]-320)*pv[iz-1,iy,ix])/
+ (theta[iz,iy,ix]-theta[iz-1,iy,ix])
+ )
+
+
+# In[ ]:
+
+
+# we smooth the data
+pv320=gaussian_filter(pv320,sigma=1)
+
+with open("ipv22.pkl","wb") as f:
+ pickle.dump(pv320,f)
+
+# define spatial correlation function for testing results
+#def scorr(a,b):
+# abar=np.mean(a)
+# bbar=np.mean(b)
+# covar=sum((a-abar)*(b-bbar))
+# avar=sum((a-abar)**2)
+# bvar=sum((b-bbar)**2)
+# r=covar/np.sqrt(avar*bvar)
+# return(r)
+
+
+# In[ ]:
+
+
+# identify latitude of lowest tropopause (there are some issues with this one)
+maxloc=np.argwhere(tp==np.amax(tp))
+latmax=lat[maxloc[0,0]]
+
+with open("latmax.pkl","wb") as f:
+ pickle.dump(latmax,f)
+
+
+# In[ ]:
+
+
+#%%
+print('####################')
+print('')
+print(' Start plots ')
+print('')
+print('####################')
+
+#states_provinces = cfeature.NaturalEarthFeature(
+# category='cultural',
+# name='admin_1_states_provinces_lines',
+# scale='50m',
+# facecolor='none')
+# y tates = NaturalEarthFeature(category='cultural',
+# scale='110m', facecolor='none',
+# name='admin_0_countries')
+fdate=datetime.strptime(mydate, '%Y%m%d').strftime('%d %b %Y')
+
+#pv320B , cycl_lon = cutil.add_cyclic_point(pv320,coord=lon)
+#hgt_inB, cycl_lon2 = cutil.add_cyclic_point(hgt_in,coord=lon_in)
+
+plt.figure(figsize=(13, 13))
+plt.rcParams.update({'font.size': 20})
+#ax = plt.axes(projection=ccrs.NearsidePerspective(central_latitude=40,central_longitude=15,satellite_height=15785831 ))
+ax = plt.subplot(1,1,1,projection=ccrs.PlateCarree()) #PlateCarree() #NearsidePerspective(central_longitude=25.0, central_latitude=50.0, satellite_height=35785831, false_easting=0, false_northing=0, globe=None)
+
+ax.set_xticks([-50,-40,-30,-20,-10,0,10,20], crs=ccrs.PlateCarree())
+ax.set_xticklabels(['50W','40W','30W','20W','10W','EQ','10E','20E'])
+ax.set_yticks([30,40,50,60,70], crs=ccrs.PlateCarree())
+ax.set_yticklabels(['30N','40N','50N','60N','70N'])
+ax.set_extent([-50, 20, 30, 70])
+ax.coastlines()
+
+#ax.set_global()
+#ax.add_feature(states_provinces,linewidth=0.9, edgecolor='k')
+#ax.add_feature(cfeature.BORDERS,linewidth=0.9, linestyle='--', alpha=0.3)
+#ax.add_feature(cfeature.LAND.with_scale('50m'),facecolor='dimgrey',alpha=0.3) #land_alt1
+#ax.coastlines('50m', linewidth=0.8,color='k')
+#clevs2 = np.arange(-0.5,9,12)
+clevs2 = [-0.5,0.2,0.7,1,1.5,2.0,4,5,6,7,8,9,10]
+cl = plt.contour( lon,lat,pv320/1e-6,clevs2,colors='gray',linewidths=0.3,extend='both',transform=ccrs.PlateCarree())
+cp = plt.contourf(lon,lat,pv320/1e-6,clevs2,cmap='Spectral_r', extend='both',transform=ccrs.PlateCarree()) #RdBu_r
+
+#cbar = plt.colorbar(cp, orientation='horizontal',fraction=0.05, pad=0.04)
+#cbar.set_label('PVU',fontsize=12)
+#bounds = ['-0.5','0.2','0.7','1','1.5','2','4','5','6','7','8','9','10']
+#cbar.set_ticklabels(bounds)
+#cbar.ax.tick_params(labelsize=12)
+
+#ds=xr.open_dataset('other/slp23t12')
+
+#clevs = np.arange(960,1040,4)
+#pres_msl=ds.pres_msl.squeeze('time')
+#cs = plt.contour(lon,lat,pres_msl/100,clevs, colors='brown',linewidths=1.)
+#plt.clabel(cs, fmt='%d', fontsize=9, inline=1)
+#clevs3=np.arange(480,600,10)
+#cs = plt.contour(lon,lat,hgt[3,:,:]/10,clevs3,transform=ccrs.PlateCarree(),colors='k',linewidths=1)
+#clabels = plt.clabel(cs,inline=1, fmt='%1.0f',ticks=clevs3, colors=('k',), fontsize=10)
+#[txt.set_bbox(dict(facecolor='white', edgecolor='none', pad=0)) for txt in clabels]
+#for l in clabels:
+# l.set_rotation(0)
+#gl = ax.gridlines(linewidth=1.9,color='k')
+#gl.xlabels_bottom = gl.ylabels_left = True
+#gl.xformatter = LONGITUDE_FORMATTER
+#gl.yformatter = LATITUDE_FORMATTER
+#gl.xlocator = mticker.FixedLocator(np.arange(-180.25,179.25,180))
+#gl.ylocator = mticker.FixedLocator(np.arange(0,90.1,90))
+#barbspace=25
+#ax.barbs(lon[::barbspace],lat[::barbspace],1.943846*np.nanmean(u[16:18,::barbspace,::barbspace],0),1.943846*np.nanmean(v[16:18,::barbspace,::barbspace],0),length=5,
+# sizes=dict(emptybarb=.1, spacing=.2, height=.5,facecolor='white'),
+# linewidth=0.7,color='k', transform=ccrs.PlateCarree())
+plt.title('(a) 2016-09-22T12:00:00',fontsize=24,weight='bold')
+#ax.annotate(
+# 'Plot by Georgios Papavasileiou (KIT) \n georgios.papavasileiou@kit.edu',
+# (0, 1),
+# xytext=(4, -4),
+# xycoords='axes fraction',
+# textcoords='offset points',
+# fontweight='bold',
+# color='white',
+# backgroundcolor='k',
+# ha='left', va='top')
+#ax.annotate(
+# '[GFS] Initialized: '+myhour+'Z '+fdate,
+# (0,0.054),
+# xytext=(4, -4),
+# xycoords='axes fraction',
+# textcoords='offset points',
+# fontweight='bold',
+# color='white',
+# backgroundcolor='k',
+# ha='left', va='top')
+#ax.annotate(
+# '[GFS] Analysis: '+myhour+'Z '+fdate,
+# (0,0.054),
+# xytext=(4, -4),
+# xycoords='axes fraction',
+# textcoords='offset points',
+# fontweight='bold',
+# color='white',
+# backgroundcolor='k',
+# ha='left', va='top')
+#plt.show()
+plt.savefig('PV_320K_22T12.png', dpi=600)
+#fig1.savefig('PV_320K_and500hPaGeopot_'+str(myhour)+'Z_'+str(fdate)+'.png',dpi=300,bbox_inches='tight')
diff --git a/scripts/processing_scripts/ipv/ipv23.py b/scripts/processing_scripts/ipv/ipv23.py
new file mode 100755
index 0000000..25b7d66
--- /dev/null
+++ b/scripts/processing_scripts/ipv/ipv23.py
@@ -0,0 +1,348 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[38]:
+
+
+import numpy as np
+import numpy.ma as ma
+import netCDF4
+import matplotlib.pyplot as plt
+import matplotlib.ticker as mticker
+import cartopy.crs as ccrs
+from scipy.ndimage import gaussian_filter
+from cartopy.feature import NaturalEarthFeature
+from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
+from datetime import datetime
+import cartopy.feature as cfeature
+import cartopy.util as cutil
+import scipy.ndimage as ndimage
+from pylab import text
+import xarray as xr
+import pickle
+
+# In[61]:
+
+
+# VALUES TO SET *************************************************
+# set date, lat-lon range, and PV-value definition of tropopause
+mydate='20160923'
+myhour='12'
+sel_tim = 0 # timestep after initialization (note that in GFS 0.25 is 3h)
+(lat1,lat2)=(25,75)
+(lon1,lon2)=(-60,29.975)
+tpdef=2 # definition of tropopause in PVU
+#****************************************************************
+#lon1=lon1+360
+#lon2=lon2+360
+
+
+# In[62]:
+
+
+# some constants
+re=6.37e6
+g=9.81
+cp=1004.5
+r=2*cp/7
+kap=r/cp
+omega=7.292e-5
+pi=3.14159265
+
+
+# In[82]:
+
+
+# open dataset, retreive variables, close dataset
+# analysis
+#url='http://nomads.ncep.noaa.gov:80/dods/gfs_0p25/gfs'+\
+#mydate+'/gfs_0p25_'+myhour+'z_anl'
+
+# forecast
+#url='http://nomads.ncep.noaa.gov:80/dods/gfs_0p25/gfs'+\
+#mydate+'/gfs_0p25_'+myhour+'z'
+
+file = netCDF4.Dataset('input2.nc')
+lat_in = file.variables['lat'][:]
+lon_in = file.variables['lon'][:]
+lev = (file.variables['plev'][:])/100
+time_in = file.variables['time'][:]
+pres2pv_in = (file.variables['PS'][sel_tim,:,:,:])
+t_in = file.variables['T'][sel_tim,:,:,:]
+u_in = file.variables['U'][sel_tim,:,:,:]
+v_in = file.variables['V'][sel_tim,:,:,:]
+hgt_in = file.variables['z_mc'][sel_tim,:,:,:]
+file.close()
+
+print('####################')
+print('')
+print(' Start calculations ')
+print('')
+print('####################')
+
+
+# In[71]:
+
+
+# get array indices for lat-lon range
+# specified above
+iy1 = np.argmin( np.abs( lat_in - lat1 ) )
+iy2 = np.argmin( np.abs( lat_in - lat2 ) )
+ix1 = np.argmin( np.abs( lon_in - lon1 ) )
+ix2 = np.argmin( np.abs( lon_in - lon2 ) )
+
+
+# In[101]:
+
+
+# select specified lat-lon range
+t=t_in[:,iy1:iy2,ix1:ix2]
+lon=lon_in[ix1:ix2]
+lat=lat_in[iy1:iy2]
+u=u_in[:,iy1:iy2,ix1:ix2]
+v=v_in[:,iy1:iy2,ix1:ix2]
+hgt=hgt_in[:,iy1:iy2,ix1:ix2]
+pres2pv=pres2pv_in[:,iy1:iy2,ix1:ix2]
+
+
+# In[108]:
+
+
+# some prep work for derivatives
+xlon,ylat=np.meshgrid(lon,lat)
+dlony,dlonx=np.gradient(xlon)
+dlaty,dlatx=np.gradient(ylat)
+dx=re*np.cos(ylat*pi/180)*dlonx*pi/180
+dy=re*dlaty*pi/180
+
+
+# In[122]:
+
+
+# define potential temperature and Coriolis parameter
+theta=t*(1.E5/(lev[:,np.newaxis,np.newaxis]*100))**kap
+f=2*omega*np.sin(ylat*pi/180)
+
+
+# In[112]:
+
+
+# calculate derivatives
+# (np.gradient can handle 1D uneven spacing,
+# so build that in for p, but do dx and dy
+# external to the function since they are 2D)
+ddp_theta=np.gradient(theta,lev*100,axis=0)
+ddx_theta=np.gradient(theta,axis=2)/dx
+ddy_theta=np.gradient(theta,axis=1)/dy
+ddp_u=np.gradient(u,lev*100,axis=0)
+ddp_v=np.gradient(v,lev*100,axis=0)
+ddx_v=np.gradient(v,axis=2)/dx
+ddy_ucos=np.gradient(u*np.cos(ylat*pi/180),axis=1)/dy
+
+
+# In[11]:
+
+
+# calculate contributions to PV and PV
+absvort=ddx_v-(1/np.cos(ylat*pi/180))*ddy_ucos+f
+pv_one=g*absvort*(-ddp_theta)
+pv_two=g*(ddp_v*ddx_theta-ddp_u*ddy_theta)
+pv=pv_one+pv_two
+
+
+# In[12]:
+
+
+# Calculate pressure of tropopause as well as potential temperature (theta) and height
+#
+# starting from 100hPa and working down, to avoid more complicated vertical structure higher up
+nx=ix2-ix1+1
+ny=iy2-iy1+1
+nz=lev.size
+nzs=np.argwhere(lev==100)[0,0]
+tp=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+tp_theta=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+tp_hgt=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+
+for ix in range(0,nx-1):
+ for iy in range(0,ny-1):
+ for iz in range(nzs,0,-1):
+ if pv[iz,iy,ix]/1e-6<=tpdef:
+ if np.isnan(tp[iy,ix]):
+ tp[iy,ix]=(
+ (lev[iz]*(pv[iz+1,iy,ix]-tpdef*1e-6)
+ -lev[iz+1]*(pv[iz,iy,ix]-tpdef*1e-6))/
+ (pv[iz+1,iy,ix]-pv[iz,iy,ix])
+ )
+
+ tp_theta[iy,ix]=(
+ ((lev[iz]-tp[iy,ix])*theta[iz+1,iy,ix]+
+ (tp[iy,ix]-lev[iz+1])*theta[iz,iy,ix])/
+ (lev[iz]-lev[iz+1])
+ )
+
+ tp_hgt[iy,ix]=(
+ ((lev[iz]-tp[iy,ix])*hgt[iz+1,iy,ix]+
+ (tp[iy,ix]-lev[iz+1])*hgt[iz,iy,ix])/
+ (lev[iz]-lev[iz+1])
+ )
+
+
+# In[ ]:
+
+
+# calculate PV on the 320K isentropic surface
+# (also not in a pythonic way)
+nx=ix2-ix1+1
+ny=iy2-iy1+1
+nz=lev.size
+pv320=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+for ix in range(0,nx-1):
+ for iy in range(0,ny-1):
+ for iz in range(nz-2,0,-1):
+ if theta[iz,iy,ix]>=320:
+ if theta[iz-1,iy,ix]<=320:
+ if np.isnan(pv320[iy,ix]):
+ pv320[iy,ix]=(
+ ((320-theta[iz-1,iy,ix])*pv[iz,iy,ix]+
+ (theta[iz,iy,ix]-320)*pv[iz-1,iy,ix])/
+ (theta[iz,iy,ix]-theta[iz-1,iy,ix])
+ )
+
+
+# In[ ]:
+
+
+# we smooth the data
+pv320=gaussian_filter(pv320,sigma=1)
+
+with open("ipv23.pkl","wb") as f:
+ pickle.dump(pv320,f)
+# define spatial correlation function for testing results
+#def scorr(a,b):
+# abar=np.mean(a)
+# bbar=np.mean(b)
+# covar=sum((a-abar)*(b-bbar))
+# avar=sum((a-abar)**2)
+# bvar=sum((b-bbar)**2)
+# r=covar/np.sqrt(avar*bvar)
+# return(r)
+
+
+# In[ ]:
+
+
+# identify latitude of lowest tropopause (there are some issues with this one)
+maxloc=np.argwhere(tp==np.amax(tp))
+latmax=lat[maxloc[0,0]]
+
+with open("latmax23.pkl","wb") as f:
+ pickle.dump(latmax,f)
+
+# In[ ]:
+
+
+#%%
+print('####################')
+print('')
+print(' Start plots ')
+print('')
+print('####################')
+
+#states_provinces = cfeature.NaturalEarthFeature(
+# category='cultural',
+# name='admin_1_states_provinces_lines',
+# scale='50m',
+# facecolor='none')
+# y tates = NaturalEarthFeature(category='cultural',
+# scale='110m', facecolor='none',
+# name='admin_0_countries')
+fdate=datetime.strptime(mydate, '%Y%m%d').strftime('%d %b %Y')
+
+#pv320B , cycl_lon = cutil.add_cyclic_point(pv320,coord=lon)
+#hgt_inB, cycl_lon2 = cutil.add_cyclic_point(hgt_in,coord=lon_in)
+
+plt.figure(figsize=(13, 13))
+plt.rcParams.update({'font.size': 20})
+#ax = plt.axes(projection=ccrs.NearsidePerspective(central_latitude=40,central_longitude=15,satellite_height=15785831 ))
+ax = plt.subplot(1,1,1,projection=ccrs.PlateCarree()) #PlateCarree() #NearsidePerspective(central_longitude=25.0, central_latitude=50.0, satellite_height=35785831, false_easting=0, false_northing=0, globe=None)
+
+ax.set_xticks([-50,-40,-30,-20,-10,0,10,20], crs=ccrs.PlateCarree())
+ax.set_xticklabels(['50W','40W','30W','20W','10W','EQ','10E','20E'])
+ax.set_yticks([30,40,50,60,70], crs=ccrs.PlateCarree())
+ax.set_yticklabels(['30N','40N','50N','60N','70N'])
+ax.set_extent([-50, 20, 30, 70])
+ax.coastlines()
+
+#ax.set_global()
+#ax.add_feature(states_provinces,linewidth=0.9, edgecolor='k')
+#ax.add_feature(cfeature.BORDERS,linewidth=0.9, linestyle='--', alpha=0.3)
+#ax.add_feature(cfeature.LAND.with_scale('50m'),facecolor='dimgrey',alpha=0.3) #land_alt1
+#ax.coastlines('50m', linewidth=0.8,color='k')
+#clevs2 = np.arange(-0.5,9,12)
+clevs2 = [-0.5,0.2,0.7,1,1.5,2.0,4,5,6,7,8,9,10]
+cl = plt.contour( lon,lat,pv320/1e-6,clevs2,colors='gray',linewidths=0.3,extend='both',transform=ccrs.PlateCarree())
+cp = plt.contourf(lon,lat,pv320/1e-6,clevs2,cmap='Spectral_r', extend='both',transform=ccrs.PlateCarree()) #RdBu_r
+
+#cbar = plt.colorbar(cp, orientation='horizontal',fraction=0.05, pad=0.04)
+#cbar.set_label('PVU',fontsize=12)
+#bounds = ['-0.5','0.2','0.7','1','1.5','2','4','5','6','7','8','9','10']
+#cbar.set_ticklabels(bounds)
+#cbar.ax.tick_params(labelsize=12)
+
+#ds=xr.open_dataset('other/slp23t12')
+
+#clevs = np.arange(960,1040,4)
+#pres_msl=ds.pres_msl.squeeze('time')
+#cs = plt.contour(lon,lat,pres_msl/100,clevs, colors='brown',linewidths=1.)
+#plt.clabel(cs, fmt='%d', fontsize=9, inline=1)
+#clevs3=np.arange(480,600,10)
+#cs = plt.contour(lon,lat,hgt[3,:,:]/10,clevs3,transform=ccrs.PlateCarree(),colors='k',linewidths=1)
+#clabels = plt.clabel(cs,inline=1, fmt='%1.0f',ticks=clevs3, colors=('k',), fontsize=10)
+#[txt.set_bbox(dict(facecolor='white', edgecolor='none', pad=0)) for txt in clabels]
+#for l in clabels:
+# l.set_rotation(0)
+#gl = ax.gridlines(linewidth=1.9,color='k')
+#gl.xlabels_bottom = gl.ylabels_left = True
+#gl.xformatter = LONGITUDE_FORMATTER
+#gl.yformatter = LATITUDE_FORMATTER
+#gl.xlocator = mticker.FixedLocator(np.arange(-180.25,179.25,180))
+#gl.ylocator = mticker.FixedLocator(np.arange(0,90.1,90))
+#barbspace=25
+#ax.barbs(lon[::barbspace],lat[::barbspace],1.943846*np.nanmean(u[16:18,::barbspace,::barbspace],0),1.943846*np.nanmean(v[16:18,::barbspace,::barbspace],0),length=5,
+# sizes=dict(emptybarb=.1, spacing=.2, height=.5,facecolor='white'),
+# linewidth=0.7,color='k', transform=ccrs.PlateCarree())
+plt.title('(a) 2016-09-23T12:00:00',fontsize=24,weight='bold')
+#ax.annotate(
+# 'Plot by Georgios Papavasileiou (KIT) \n georgios.papavasileiou@kit.edu',
+# (0, 1),
+# xytext=(4, -4),
+# xycoords='axes fraction',
+# textcoords='offset points',
+# fontweight='bold',
+# color='white',
+# backgroundcolor='k',
+# ha='left', va='top')
+#ax.annotate(
+# '[GFS] Initialized: '+myhour+'Z '+fdate,
+# (0,0.054),
+# xytext=(4, -4),
+# xycoords='axes fraction',
+# textcoords='offset points',
+# fontweight='bold',
+# color='white',
+# backgroundcolor='k',
+# ha='left', va='top')
+#ax.annotate(
+# '[GFS] Analysis: '+myhour+'Z '+fdate,
+# (0,0.054),
+# xytext=(4, -4),
+# xycoords='axes fraction',
+# textcoords='offset points',
+# fontweight='bold',
+# color='white',
+# backgroundcolor='k',
+# ha='left', va='top')
+#plt.show()
+plt.savefig('PV_320K_23T12.png', dpi=600)
+#fig1.savefig('PV_320K_and500hPaGeopot_'+str(myhour)+'Z_'+str(fdate)+'.png',dpi=300,bbox_inches='tight')
diff --git a/scripts/processing_scripts/ipv/ipv24.py b/scripts/processing_scripts/ipv/ipv24.py
new file mode 100755
index 0000000..f624536
--- /dev/null
+++ b/scripts/processing_scripts/ipv/ipv24.py
@@ -0,0 +1,350 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[38]:
+
+
+import numpy as np
+import numpy.ma as ma
+import netCDF4
+import matplotlib.pyplot as plt
+import matplotlib.ticker as mticker
+import cartopy.crs as ccrs
+from scipy.ndimage import gaussian_filter
+from cartopy.feature import NaturalEarthFeature
+from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
+from datetime import datetime
+import cartopy.feature as cfeature
+import cartopy.util as cutil
+import scipy.ndimage as ndimage
+from pylab import text
+import xarray as xr
+import pickle
+
+
+# In[61]:
+
+
+# VALUES TO SET *************************************************
+# set date, lat-lon range, and PV-value definition of tropopause
+mydate='20160924'
+myhour='12'
+sel_tim = 0 # timestep after initialization (note that in GFS 0.25 is 3h)
+(lat1,lat2)=(25,75)
+(lon1,lon2)=(-60,29.975)
+tpdef=2 # definition of tropopause in PVU
+#****************************************************************
+#lon1=lon1+360
+#lon2=lon2+360
+
+
+# In[62]:
+
+
+# some constants
+re=6.37e6
+g=9.81
+cp=1004.5
+r=2*cp/7
+kap=r/cp
+omega=7.292e-5
+pi=3.14159265
+
+
+# In[82]:
+
+
+# open dataset, retreive variables, close dataset
+# analysis
+#url='http://nomads.ncep.noaa.gov:80/dods/gfs_0p25/gfs'+\
+#mydate+'/gfs_0p25_'+myhour+'z_anl'
+
+# forecast
+#url='http://nomads.ncep.noaa.gov:80/dods/gfs_0p25/gfs'+\
+#mydate+'/gfs_0p25_'+myhour+'z'
+
+file = netCDF4.Dataset('input3.nc')
+lat_in = file.variables['lat'][:]
+lon_in = file.variables['lon'][:]
+lev = (file.variables['plev'][:])/100
+time_in = file.variables['time'][:]
+pres2pv_in = (file.variables['PS'][sel_tim,:,:,:])
+t_in = file.variables['T'][sel_tim,:,:,:]
+u_in = file.variables['U'][sel_tim,:,:,:]
+v_in = file.variables['V'][sel_tim,:,:,:]
+hgt_in = file.variables['z_mc'][sel_tim,:,:,:]
+file.close()
+
+print('####################')
+print('')
+print(' Start calculations ')
+print('')
+print('####################')
+
+
+# In[71]:
+
+
+# get array indices for lat-lon range
+# specified above
+iy1 = np.argmin( np.abs( lat_in - lat1 ) )
+iy2 = np.argmin( np.abs( lat_in - lat2 ) )
+ix1 = np.argmin( np.abs( lon_in - lon1 ) )
+ix2 = np.argmin( np.abs( lon_in - lon2 ) )
+
+
+# In[101]:
+
+
+# select specified lat-lon range
+t=t_in[:,iy1:iy2,ix1:ix2]
+lon=lon_in[ix1:ix2]
+lat=lat_in[iy1:iy2]
+u=u_in[:,iy1:iy2,ix1:ix2]
+v=v_in[:,iy1:iy2,ix1:ix2]
+hgt=hgt_in[:,iy1:iy2,ix1:ix2]
+pres2pv=pres2pv_in[:,iy1:iy2,ix1:ix2]
+
+
+# In[108]:
+
+
+# some prep work for derivatives
+xlon,ylat=np.meshgrid(lon,lat)
+dlony,dlonx=np.gradient(xlon)
+dlaty,dlatx=np.gradient(ylat)
+dx=re*np.cos(ylat*pi/180)*dlonx*pi/180
+dy=re*dlaty*pi/180
+
+
+# In[122]:
+
+
+# define potential temperature and Coriolis parameter
+theta=t*(1.E5/(lev[:,np.newaxis,np.newaxis]*100))**kap
+f=2*omega*np.sin(ylat*pi/180)
+
+
+# In[112]:
+
+
+# calculate derivatives
+# (np.gradient can handle 1D uneven spacing,
+# so build that in for p, but do dx and dy
+# external to the function since they are 2D)
+ddp_theta=np.gradient(theta,lev*100,axis=0)
+ddx_theta=np.gradient(theta,axis=2)/dx
+ddy_theta=np.gradient(theta,axis=1)/dy
+ddp_u=np.gradient(u,lev*100,axis=0)
+ddp_v=np.gradient(v,lev*100,axis=0)
+ddx_v=np.gradient(v,axis=2)/dx
+ddy_ucos=np.gradient(u*np.cos(ylat*pi/180),axis=1)/dy
+
+
+# In[11]:
+
+
+# calculate contributions to PV and PV
+absvort=ddx_v-(1/np.cos(ylat*pi/180))*ddy_ucos+f
+pv_one=g*absvort*(-ddp_theta)
+pv_two=g*(ddp_v*ddx_theta-ddp_u*ddy_theta)
+pv=pv_one+pv_two
+
+
+# In[12]:
+
+
+# Calculate pressure of tropopause as well as potential temperature (theta) and height
+#
+# starting from 100hPa and working down, to avoid more complicated vertical structure higher up
+nx=ix2-ix1+1
+ny=iy2-iy1+1
+nz=lev.size
+nzs=np.argwhere(lev==100)[0,0]
+tp=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+tp_theta=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+tp_hgt=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+
+for ix in range(0,nx-1):
+ for iy in range(0,ny-1):
+ for iz in range(nzs,0,-1):
+ if pv[iz,iy,ix]/1e-6<=tpdef:
+ if np.isnan(tp[iy,ix]):
+ tp[iy,ix]=(
+ (lev[iz]*(pv[iz+1,iy,ix]-tpdef*1e-6)
+ -lev[iz+1]*(pv[iz,iy,ix]-tpdef*1e-6))/
+ (pv[iz+1,iy,ix]-pv[iz,iy,ix])
+ )
+
+ tp_theta[iy,ix]=(
+ ((lev[iz]-tp[iy,ix])*theta[iz+1,iy,ix]+
+ (tp[iy,ix]-lev[iz+1])*theta[iz,iy,ix])/
+ (lev[iz]-lev[iz+1])
+ )
+
+ tp_hgt[iy,ix]=(
+ ((lev[iz]-tp[iy,ix])*hgt[iz+1,iy,ix]+
+ (tp[iy,ix]-lev[iz+1])*hgt[iz,iy,ix])/
+ (lev[iz]-lev[iz+1])
+ )
+
+
+# In[ ]:
+
+
+# calculate PV on the 320K isentropic surface
+# (also not in a pythonic way)
+nx=ix2-ix1+1
+ny=iy2-iy1+1
+nz=lev.size
+pv320=np.empty((ny-1,nx-1))*np.nan # initialize as undef
+for ix in range(0,nx-1):
+ for iy in range(0,ny-1):
+ for iz in range(nz-2,0,-1):
+ if theta[iz,iy,ix]>=320:
+ if theta[iz-1,iy,ix]<=320:
+ if np.isnan(pv320[iy,ix]):
+ pv320[iy,ix]=(
+ ((320-theta[iz-1,iy,ix])*pv[iz,iy,ix]+
+ (theta[iz,iy,ix]-320)*pv[iz-1,iy,ix])/
+ (theta[iz,iy,ix]-theta[iz-1,iy,ix])
+ )
+
+
+# In[ ]:
+
+
+# we smooth the data
+pv320=gaussian_filter(pv320,sigma=1)
+
+with open("ipv24.pkl","wb") as f:
+ pickle.dump(pv320,f)
+
+# define spatial correlation function for testing results
+#def scorr(a,b):
+# abar=np.mean(a)
+# bbar=np.mean(b)
+# covar=sum((a-abar)*(b-bbar))
+# avar=sum((a-abar)**2)
+# bvar=sum((b-bbar)**2)
+# r=covar/np.sqrt(avar*bvar)
+# return(r)
+
+
+# In[ ]:
+
+
+# identify latitude of lowest tropopause (there are some issues with this one)
+maxloc=np.argwhere(tp==np.amax(tp))
+latmax=lat[maxloc[0,0]]
+
+with open("latmax24.pkl","wb") as f:
+ pickle.dump(latmax,f)
+
+# In[ ]:
+
+
+#%%
+print('####################')
+print('')
+print(' Start plots ')
+print('')
+print('####################')
+
+#states_provinces = cfeature.NaturalEarthFeature(
+# category='cultural',
+# name='admin_1_states_provinces_lines',
+# scale='50m',
+# facecolor='none')
+# y tates = NaturalEarthFeature(category='cultural',
+# scale='110m', facecolor='none',
+# name='admin_0_countries')
+fdate=datetime.strptime(mydate, '%Y%m%d').strftime('%d %b %Y')
+
+#pv320B , cycl_lon = cutil.add_cyclic_point(pv320,coord=lon)
+#hgt_inB, cycl_lon2 = cutil.add_cyclic_point(hgt_in,coord=lon_in)
+
+plt.figure(figsize=(13, 13))
+plt.rcParams.update({'font.size': 20})
+#ax = plt.axes(projection=ccrs.NearsidePerspective(central_latitude=40,central_longitude=15,satellite_height=15785831 ))
+ax = plt.subplot(1,1,1,projection=ccrs.PlateCarree()) #PlateCarree() #NearsidePerspective(central_longitude=25.0, central_latitude=50.0, satellite_height=35785831, false_easting=0, false_northing=0, globe=None)
+
+ax.set_xticks([-50,-40,-30,-20,-10,0,10,20], crs=ccrs.PlateCarree())
+ax.set_xticklabels(['50W','40W','30W','20W','10W','EQ','10E','20E'])
+ax.set_yticks([30,40,50,60,70], crs=ccrs.PlateCarree())
+ax.set_yticklabels(['30N','40N','50N','60N','70N'])
+ax.set_extent([-50, 20, 30, 70])
+ax.coastlines()
+
+#ax.set_global()
+#ax.add_feature(states_provinces,linewidth=0.9, edgecolor='k')
+#ax.add_feature(cfeature.BORDERS,linewidth=0.9, linestyle='--', alpha=0.3)
+#ax.add_feature(cfeature.LAND.with_scale('50m'),facecolor='dimgrey',alpha=0.3) #land_alt1
+#ax.coastlines('50m', linewidth=0.8,color='k')
+#clevs2 = np.arange(-0.5,9,12)
+clevs2 = [-0.5,0.2,0.7,1,1.5,2.0,4,5,6,7,8,9,10]
+cl = plt.contour( lon,lat,pv320/1e-6,clevs2,colors='gray',linewidths=0.3,extend='both',transform=ccrs.PlateCarree())
+cp = plt.contourf(lon,lat,pv320/1e-6,clevs2,cmap='Spectral_r', extend='both',transform=ccrs.PlateCarree()) #RdBu_r
+
+#cbar = plt.colorbar(cp, orientation='horizontal',fraction=0.05, pad=0.04)
+#cbar.set_label('PVU',fontsize=12)
+#bounds = ['-0.5','0.2','0.7','1','1.5','2','4','5','6','7','8','9','10']
+#cbar.set_ticklabels(bounds)
+#cbar.ax.tick_params(labelsize=12)
+
+#ds=xr.open_dataset('other/slp23t12')
+
+#clevs = np.arange(960,1040,4)
+#pres_msl=ds.pres_msl.squeeze('time')
+#cs = plt.contour(lon,lat,pres_msl/100,clevs, colors='brown',linewidths=1.)
+#plt.clabel(cs, fmt='%d', fontsize=9, inline=1)
+#clevs3=np.arange(480,600,10)
+#cs = plt.contour(lon,lat,hgt[3,:,:]/10,clevs3,transform=ccrs.PlateCarree(),colors='k',linewidths=1)
+#clabels = plt.clabel(cs,inline=1, fmt='%1.0f',ticks=clevs3, colors=('k',), fontsize=10)
+#[txt.set_bbox(dict(facecolor='white', edgecolor='none', pad=0)) for txt in clabels]
+#for l in clabels:
+# l.set_rotation(0)
+#gl = ax.gridlines(linewidth=1.9,color='k')
+#gl.xlabels_bottom = gl.ylabels_left = True
+#gl.xformatter = LONGITUDE_FORMATTER
+#gl.yformatter = LATITUDE_FORMATTER
+#gl.xlocator = mticker.FixedLocator(np.arange(-180.25,179.25,180))
+#gl.ylocator = mticker.FixedLocator(np.arange(0,90.1,90))
+#barbspace=25
+#ax.barbs(lon[::barbspace],lat[::barbspace],1.943846*np.nanmean(u[16:18,::barbspace,::barbspace],0),1.943846*np.nanmean(v[16:18,::barbspace,::barbspace],0),length=5,
+# sizes=dict(emptybarb=.1, spacing=.2, height=.5,facecolor='white'),
+# linewidth=0.7,color='k', transform=ccrs.PlateCarree())
+plt.title('(a) 2016-09-24T12:00:00',fontsize=24,weight='bold')
+#ax.annotate(
+# 'Plot by Georgios Papavasileiou (KIT) \n georgios.papavasileiou@kit.edu',
+# (0, 1),
+# xytext=(4, -4),
+# xycoords='axes fraction',
+# textcoords='offset points',
+# fontweight='bold',
+# color='white',
+# backgroundcolor='k',
+# ha='left', va='top')
+#ax.annotate(
+# '[GFS] Initialized: '+myhour+'Z '+fdate,
+# (0,0.054),
+# xytext=(4, -4),
+# xycoords='axes fraction',
+# textcoords='offset points',
+# fontweight='bold',
+# color='white',
+# backgroundcolor='k',
+# ha='left', va='top')
+#ax.annotate(
+# '[GFS] Analysis: '+myhour+'Z '+fdate,
+# (0,0.054),
+# xytext=(4, -4),
+# xycoords='axes fraction',
+# textcoords='offset points',
+# fontweight='bold',
+# color='white',
+# backgroundcolor='k',
+# ha='left', va='top')
+#plt.show()
+plt.savefig('PV_320K_24T12.png', dpi=600)
+#fig1.savefig('PV_320K_and500hPaGeopot_'+str(myhour)+'Z_'+str(fdate)+'.png',dpi=300,bbox_inches='tight')
diff --git a/scripts/processing_scripts/ipv/prepare_data.sh b/scripts/processing_scripts/ipv/prepare_data.sh
new file mode 100755
index 0000000..e61ef36
--- /dev/null
+++ b/scripts/processing_scripts/ipv/prepare_data.sh
@@ -0,0 +1,44 @@
+#!/bin/bash
+#BATCH --job-name=ipv_batch
+#SBATCH --partition=prepost,gpu
+#SBATCH --ntasks=48
+#SBATCH --mem-per-cpu=5300
+#SBATCH --time=12:00:00
+#SBATCH --account=bb1018
+#SBATCH --exclusive
+#SBATCH --output=ipv_batch.o%j
+
+set -evx
+echo "start: $(date)"
+
+export CDO_NTHREADS=12
+export OMP_NUM_THREADS=${CDO_NTHREADS}
+srun_cmd="srun -Q -n1 -c${CDO_NTHREADS} --cpu-bind=threads --exclusive"
+
+module load nco
+ncatted -a standard_name,P,o,c,"air_pressure" P20160922_12 _P20160922_12
+ncatted -a standard_name,P,o,c,"air_pressure" P20160923_12 _P20160923_12
+ncatted -a standard_name,P,o,c,"air_pressure" P20160924_12 _P20160924_12
+
+mv _P20160922_12 P20160922_12
+mv _P20160923_12 P20160923_12
+mv _P20160924_12 P20160924_12
+
+#ncatted -O standard_name,PS,o,c,"surface pressure" P20160922_12
+#ncatted -O standard_name,PS,o,c,"surface pressure" P20160923_12
+#ncatted -O standard_name,PS,o,c,"surface pressure" P20160924_12
+
+
+cdo -P ${CDO_NTHREADS} ap2plx,100000,92500,85000,60000,50000,40000,35000,30000,25000,20000,15000,10000,5000 -sellonlatbox,-60,30,25,75 -aexpr,'air_pressure=air_pressure*100' -aexpr,'PS=PS*100' -chname,P,air_pressure -selvar,P,PS,U,V,T,PV,z_mc P20160922_12 input1.nc
+
+cdo -P ${CDO_NTHREADS} ap2plx,100000,92500,85000,60000,50000,40000,35000,30000,25000,20000,15000,10000,5000 -sellonlatbox,-60,30,25,75 -aexpr,'air_pressure=air_pressure*100' -aexpr,'PS=PS*100' -chname,P,air_pressure -selvar,P,PS,U,V,T,PV,z_mc P20160923_12 input2.nc
+
+cdo -P ${CDO_NTHREADS} ap2plx,100000,92500,85000,60000,50000,40000,35000,30000,25000,20000,15000,10000,5000 -sellonlatbox,-60,30,25,75 -aexpr,'air_pressure=air_pressure*100' -aexpr,'PS=PS*100' -chname,P,air_pressure -selvar,P,PS,U,V,T,PV,z_mc P20160924_12 input3.nc
+
+
+
+echo "end: $(date)"
+
+exit
+
+
diff --git a/scripts/processing_scripts/pte/pte.ipynb b/scripts/processing_scripts/pte/pte.ipynb
new file mode 100755
index 0000000..515867e
--- /dev/null
+++ b/scripts/processing_scripts/pte/pte.ipynb
@@ -0,0 +1,511 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "##################################\n",
+ "Memory before we load monthly data\n",
+ "\n",
+ "memory = 86.0 MB\n",
+ "\n",
+ "##################################\n",
+ "The script started at: 04:17:24.651135\n"
+ ]
+ }
+ ],
+ "source": [
+ "import math\n",
+ "import psutil\n",
+ "import numpy as np\n",
+ "from netCDF4 import Dataset\n",
+ "import matplotlib.pyplot as plt\n",
+ "import datetime \n",
+ "import cartopy.crs as ccrs\n",
+ "import matplotlib.ticker as mticker\n",
+ "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
+ "import warnings\n",
+ "warnings.filterwarnings(\"ignore\")\n",
+ "\n",
+ "def print_memory(msg=None):\n",
+ " process = psutil.Process()\n",
+ " if (msg):\n",
+ " print(msg, ':', 'memory =', np.round(process.memory_info().rss/(1024*1024)), 'MB')\n",
+ " else:\n",
+ " print('memory =', np.round(process.memory_info().rss/(1024*1024)), 'MB')\n",
+ " \n",
+ "# some functions\n",
+ "# we define some functions that we use for the calculations in the SPTE script\n",
+ "def get_es(t): \n",
+ " '''\n",
+ " # t is the temperature in Kelvin\n",
+ " # function that calculates the saturation vapour pressure\n",
+ " '''\n",
+ " es = 6.112 * np.exp((17.67*(t-273.15))/((t-273.15)+243.5))\n",
+ " return es\n",
+ "\n",
+ "def get_e(t, rh):\n",
+ " '''\n",
+ " # rh is the relative_humidity & es is the saturation_vapour_pressure\n",
+ " # function that calculates the vapour pressure\n",
+ " '''\n",
+ " e = rh*get_es(t)/100\n",
+ " return e\n",
+ "\n",
+ "def get_shu(rh, t, p):\n",
+ " '''\n",
+ " # function that calculates the specific humidity\n",
+ " # pressure must be given in hPa\n",
+ " '''\n",
+ " shu = (0.622 * get_e(t,rh))/(p-(0.378*get_e(t,rh)))\n",
+ " return shu\n",
+ " \n",
+ "def get_mix(e,p,t,rh):\n",
+ " '''\n",
+ " # function that calculates the mixing ratio\n",
+ " # e : vapour pressure\n",
+ " # p : pressure in Pa\n",
+ " # t : temperature\n",
+ " # rh: relative humidity\n",
+ " '''\n",
+ " mix = (0.622 * get_e(t,rh)) / ((p/100)-get_e(t,rh)) \n",
+ " return mix\n",
+ " \n",
+ "def get_adia_lr(t,rh,p):\n",
+ " '''\n",
+ " # function that calculates the dry/moist adiabatic lapse rate\n",
+ " # t : temperature\n",
+ " # rh: relative humidity\n",
+ " '''\n",
+ " if rh < 95.:\n",
+ " adia = g/C_p\n",
+ " else:\n",
+ " e_h = get_e(t,rh)\n",
+ " mix_h = get_mix(e_h, p, t, rh)\n",
+ " adia = g * ((1 + ((LV * mix_h) / (R * t))) / (C_p + ((LV**2 * mix_h * 0.622) / (R * t**2))))\n",
+ " return adia\n",
+ "\n",
+ "def get_rhm_sfc(t2m ,td2m):\n",
+ " '''\n",
+ " # function that calculates the relative humidity in the sfc\n",
+ " '''\n",
+ " rhm_sfc = 100 * (get_es(td2m)/get_es(t2m))\n",
+ " return rhm_sfc\n",
+ "\n",
+ "def get_T_v(t, shu):\n",
+ " '''\n",
+ " # function that calculates the virtual temperature for given Temperature(t in Kelvin),\n",
+ " # Relative Humidity(rh [0-100]) & Pressure(p in hPa)\n",
+ " # we calculate the specific humidity\n",
+ " '''\n",
+ " T_v = t * (1 + 0.608 * shu)\n",
+ " return T_v\n",
+ "\n",
+ "def distance(origin, destination):\n",
+ " \"\"\"\n",
+ " # function that calculates the Haversine distance in meters\n",
+ " \"\"\"\n",
+ " lat1, lon1 = origin\n",
+ " lat2, lon2 = destination\n",
+ " radius = 6.356766E+06 # in meters\n",
+ "\n",
+ " dlat = math.radians(lat2 - lat1)\n",
+ " dlon = math.radians(lon2 - lon1)\n",
+ " a = (math.sin(dlat / 2) * math.sin(dlat / 2) +\n",
+ " math.cos(math.radians(lat1)) * math.cos(math.radians(lat2)) *\n",
+ " math.sin(dlon / 2) * math.sin(dlon / 2))\n",
+ " c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))\n",
+ " d = radius * c\n",
+ " return d\n",
+ " \n",
+ "def get_T_adv(T, u, v, lat, lon, ntimes, nlevs, nlats, nlons):\n",
+ " '''\n",
+ " # function that calculates the Horizontal Temperature Advection (T_adv)\n",
+ " # we use as imput the u and v wind components with shape (ntimes, nlevs, nlats, nlons)\n",
+ " # and the temperature gradient components with shape (ntimes, nlevs, nlats, nlons)\n",
+ " '''\n",
+ " deg2rad = np.pi/180.0\n",
+ " rearth = 6.356766E+06 # earth's radius\n",
+ " \n",
+ " T_adv = np.full((ntimes,nlevs,nlats,nlons),np.nan,dtype=float)\n",
+ " for lati in range(nlats-1):\n",
+ " for loni in range(nlons-1):\n",
+ " zon = u[:,:,lati,loni]/(rearth*np.cos(lat[lati]*deg2rad)) * (T[:,:,lati,loni+1]-T[:,:,lati,loni])/(deg2rad*(lon[loni+1]-lon[loni]))\n",
+ " mer = v[:,:,lati,loni]/rearth * (T[:,:,lati+1,loni]-T[:,:,lati,loni])/(deg2rad*(lat[lati+1]-lat[lati]))\n",
+ " T_adv[:,:,lati,loni] = -1* (zon + mer)\n",
+ " return T_adv\n",
+ " \n",
+ "def get_ro_sfc(t_2m, p_sfc):\n",
+ " '''\n",
+ " # function that calculates the density in the surface for given surface pressure\n",
+ " # and temperature at 2m\n",
+ " # Pressure in Pa\n",
+ " # Temperature in K\n",
+ " '''\n",
+ " ro = np.full((ntimes,nlats,nlons),np.nan,dtype=float)\n",
+ " ro = p_sfc / (t_2m * R) \n",
+ " return ro \n",
+ "\n",
+ "def get_ro_lpl(t, p_sfc):\n",
+ " '''\n",
+ " # function that calculates the density in the surface for given surface pressure\n",
+ " # and temperature at 2m\n",
+ " # Pressure in Pa\n",
+ " # Temperature in K\n",
+ " '''\n",
+ " ro = p_sfc / (t * R)\n",
+ " return ro\n",
+ "\n",
+ "def get_dT_dp(t, p, ntimes, nlevs, nlats, nlons):\n",
+ " '''\n",
+ " # function that calculates the vertical temperature gradient\n",
+ " '''\n",
+ " dT_dp = np.full((ntimes,nlevs,nlats,nlons), np.nan,dtype=float)\n",
+ " #dT_dp = np.full((ntimes,nlevs+1,nlats,nlons), np.nan,dtype=float)\n",
+ " for ti in range(ntimes):\n",
+ " for le in range(1,nlevs):\n",
+ " dT_dp[ti,le,:,:] = (t[ti,le,:,:]-t[ti,le-1,:,:]) / (p[ti,le,:,:]-p[ti,le-1,:,:]) \n",
+ " \n",
+ " return dT_dp\n",
+ " \n",
+ "def get_T_vmt_dry(T_v, dT_dp, w, level):\n",
+ " '''\n",
+ " # function that calculates the tempertature advetion due to vertical motions\n",
+ " '''\n",
+ " T_vmt = w * ( (R * T_v ) / ( C_p * level) - dT_dp) \n",
+ " \n",
+ " return T_vmt \n",
+ "\n",
+ "print('##################################')\n",
+ "print('Memory before we load monthly data')\n",
+ "print('')\n",
+ "print_memory()\n",
+ "print('')\n",
+ "print('##################################')\n",
+ "print('The script started at: ', datetime.datetime.now().time()) "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "##############################\n",
+ "Memory before we load the data\n",
+ "\n",
+ "memory = 98.0 MB\n",
+ "\n",
+ "##############################\n",
+ "The script started at: 10:22:18.689983\n",
+ "/work/bm0834/b380723/tamip/ICON_NWP/20160920/\n",
+ "We choose as upper level 100000.0\n",
+ "Geopotential at upper integration level is: 1567.3248 m**2/s**2\n",
+ "##################################\n",
+ "Memory after we load monthly data\n",
+ "memory = 290.0 MB\n",
+ "##################################\n"
+ ]
+ }
+ ],
+ "source": [
+ "#We load data for the pte analysis\n",
+ "\n",
+ "''' #########################################################################'''\n",
+ "''' ############################# INPUT DATA ################################'''\n",
+ "''' #########################################################################''' \n",
+ "\n",
+ "print('##############################')\n",
+ "print('Memory before we load the data')\n",
+ "print('')\n",
+ "print_memory()\n",
+ "print('')\n",
+ "print('##############################')\n",
+ "print('The script started at: ', datetime.datetime.now().time()) \n",
+ "\n",
+ "# select data for input\n",
+ "#year = input(\"Please enter year: \")\n",
+ "#print(year)\n",
+ "#member = input(\"Please enter ensenbmle member: \")\n",
+ "#print(member)\n",
+ "#month = input(\"Please enter month to calculate: \")\n",
+ "#print(month)\n",
+ "\n",
+ "# example \n",
+ "year = 1\n",
+ "member = 1\n",
+ "month = 12\n",
+ "\n",
+ "# path on mistral\n",
+ "ipath = '/work/bb1018/b380723/pte/0.8/1m'\n",
+ "print(ipath)\n",
+ "\n",
+ "# 3d file for upper-level data interpolated up to \n",
+ "ifile3d = 'basicvar_pl_1deg.nc'\n",
+ "# 2d file for surface data\n",
+ "ifile2d = '2dvar_1deg.nc'\n",
+ "\n",
+ "# I read the 1-h ICON-uld data\n",
+ "uld_file = ipath+ifile3d\n",
+ "nc = Dataset(uld_file, mode='r')\n",
+ "lons = nc.variables['lon'][:]\n",
+ "lats = nc.variables['lat'][:]\n",
+ "time = nc.variables['time'][:]\n",
+ "level = nc.variables['plev_2'][:] # pressure [Pa]\n",
+ "t = nc.variables['temp'][:] # temperature [K]\n",
+ "shu = nc.variables['qv'][:] # specific humidity [kg/kg]\n",
+ "u = nc.variables['u'][:] # u wind [m/s]\n",
+ "v = nc.variables['v'][:] # v wind [m/s]\n",
+ "w = nc.variables['omega'][:] # vertical velocity [ Pa/s ]\n",
+ "geopot = nc.variables['geopot'][:]\n",
+ "nc.close()\n",
+ "\n",
+ "# I read the 1-h ICON-sfc data\n",
+ "sfc_file = ipath+ifile2d\n",
+ "nc = Dataset(sfc_file, mode='r')\n",
+ "p_sfc = nc.variables['pres_sfc'][:]\n",
+ "mslp = nc.variables['pres_msl'][:]\n",
+ "tot_precip = nc.variables['tot_prec'][:] # note that precip and evapor ERA-Interim and ERA5 are accumulated \n",
+ "#evapor_per_s = nc.variables['qhfl_s'][:]\n",
+ "nc.close()\n",
+ "\n",
+ "# upper integration level geopotential height\n",
+ "geopot_upper_int_lvl = geopot[:,0,:,:]\n",
+ "# print the upper integration level that we selected\n",
+ "print('We choose as upper level ',level[0])\n",
+ "print('Geopotential at upper integration level is: '+str(geopot_upper_int_lvl[0,0,0])+' m**2/s**2')\n",
+ "\n",
+ "# the dimensions of time-lon-lat-plvl\n",
+ "ntimes = len(time)\n",
+ "nlevs = len(level)\n",
+ "nlons = len(lons)\n",
+ "nlats = len(lats)\n",
+ "\n",
+ "# some constant values\n",
+ "rad = 6.356766E+06 # earth's radius\n",
+ "h_in_sec = 3600 # 1 hour in seconds\n",
+ "dt = 1 # delta t , timestep\n",
+ "R = 287.04 # gas constant\n",
+ "C_p = 1005.7 # specific humidity\n",
+ "g = 9.81 # gravitational acceleration\n",
+ "LV = 2.501E+06 # latent heat of vaporization at 0C\n",
+ "\n",
+ "# sanity test of the data\n",
+ "na_value = -1000.\n",
+ "t[t<na_value] = np.nan\n",
+ "shu[shu<na_value]= np.nan\n",
+ "u[u<na_value] = np.nan\n",
+ "v[v<na_value] = np.nan\n",
+ "w[w<na_value] = np.nan\n",
+ "\n",
+ "# NOTE THAT THIS IS EXPLICITLY FOR ICON AS WE WANT ACCUMULATED PRECIP AND EVAPOR OVER THE 1-H INTERVALS\n",
+ "# in ICON output we have accumulated total precipitation since the start of the model run\n",
+ "precip=np.full(tot_precip.shape,np.nan,dtype=float)\n",
+ "for ti in range(1,ntimes):\n",
+ " precip[ti,:,:] = tot_precip[ti,:,:]-tot_precip[ti-1,:,:]\n",
+ "\n",
+ "print('##################################')\n",
+ "print('Memory after we load monthly data')\n",
+ "print_memory()\n",
+ "print('##################################')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "##################################\n",
+ " START CALCULATIONS ! \n",
+ "##################################\n",
+ "At: 10:22:22.313020\n",
+ "The TADV_data was computed at: 10:22:27.422619\n",
+ "The VMT_data was computed at: 10:22:30.119807\n",
+ "The ITT_data was computed at: 10:23:20.904109\n",
+ "The dfi_dt was computed at: 10:23:30.000134\n",
+ "The dp_dt was computed at: 10:23:30.009415\n",
+ "##########################################\n",
+ "Memory after we calculate PTE monthly data\n",
+ "memory = 607.0 MB\n",
+ "##########################################\n",
+ "##########################################\n",
+ "The script finished at: 10:27:07.891588\n",
+ "##########################################\n"
+ ]
+ }
+ ],
+ "source": [
+ "print('##################################')\n",
+ "print(' START CALCULATIONS ! ')\n",
+ "print('##################################')\n",
+ "print('At: ', datetime.datetime.now().time()) \n",
+ "\n",
+ "# '''###### TADV ###### '''\n",
+ "# we calculate the virtual temperature \n",
+ "T_v = get_T_v(t,shu)\n",
+ "T_v_adv= get_T_adv(T_v, u, v, lats, lons, ntimes, nlevs, nlats, nlons)\n",
+ "tadv_data = T_v_adv\n",
+ "tadv_data[abs(tadv_data)>0.01]=np.nan\n",
+ "print('The TADV_data was computed at: ', datetime.datetime.now().time())\n",
+ "\n",
+ "ilevs_tadv = np.full((ntimes,nlats,nlons), np.nan, dtype=int)\n",
+ "for ti in range(ntimes):\n",
+ " for lo in range(nlons):\n",
+ " for la in range(nlats):\n",
+ " ilevs_tadv[ti,la,lo] = np.count_nonzero(~np.isnan(tadv_data[ti,:,la,lo]))\n",
+ " \n",
+ "'''###### VMT ###### '''\n",
+ "p_levs = np.full((ntimes,nlevs,nlats,nlons), np.nan, dtype=float)\n",
+ "for ti in range(ntimes):\n",
+ " for la in range(nlats):\n",
+ " for lo in range(nlons):\n",
+ " p_levs[ti,:,la,lo] = level\n",
+ "\n",
+ "T_v_data = T_v \n",
+ "# we calculate the vertical temperature gradient\n",
+ "dT_dp = get_dT_dp(T_v_data, p_levs, ntimes, nlevs, nlats, nlons)\n",
+ "T_v_vmt = get_T_vmt_dry(T_v_data, dT_dp, w, p_levs) \n",
+ "vmt_data=T_v_vmt\n",
+ "vmt_data[abs(vmt_data)>0.01]=np.nan\n",
+ "print('The VMT_data was computed at: ', datetime.datetime.now().time()) \n",
+ "\n",
+ "ilevs_vmt = np.full((ntimes,nlats,nlons), np.nan, dtype=int)\n",
+ "for ti in range(ntimes):\n",
+ " for lo in range(nlons):\n",
+ " for la in range(nlats):\n",
+ " ilevs_vmt[ti,la,lo] = np.count_nonzero(~np.isnan(vmt_data[ti,:,la,lo]))\n",
+ " \n",
+ "'''###### ITT ######'''\n",
+ "dTv_dt = np.full((ntimes,nlevs,nlats,nlons),np.nan,dtype=float)\n",
+ "for ti in range(1,ntimes):\n",
+ " dTv_dt[ti,:,:,:] = (T_v[ti,:,:,:] - T_v[ti-1,:,:,:]) / (dt * h_in_sec)\n",
+ "\n",
+ "itt_data = dTv_dt\n",
+ "print('The ITT_data was computed at: ', datetime.datetime.now().time()) \n",
+ "\n",
+ "ilevs_itt = np.full((ntimes,nlats,nlons), np.nan, dtype=int)\n",
+ "for ti in range(ntimes):\n",
+ " for lo in range(nlons):\n",
+ " for la in range(nlats):\n",
+ " ilevs_itt[ti,la,lo] = np.count_nonzero(~np.isnan(itt_data[ti,:,la,lo]))\n",
+ "\n",
+ "ro = np.full(p_sfc.shape,np.nan,dtype=float)\n",
+ "for ti in range(ntimes):\n",
+ " for la in range(nlats):\n",
+ " for lo in range(nlons):\n",
+ " ro[ti,la,lo] = get_ro_lpl(t[ti,ilevs_itt[ti,la,lo]-1,la,lo],p_sfc[ti,la,lo])\n",
+ " \n",
+ "'''####### dfi / dt #######'''\n",
+ "dfi_upl_dt = np.full((ntimes,nlats,nlons),np.nan,dtype=float)\n",
+ "for ti in range(1,ntimes):\n",
+ " dfi_upl_dt[ti,:,:] = ro[ti,:,:] * (geopot_upper_int_lvl[ti,:,:]-geopot_upper_int_lvl[ti-1,:,:])\n",
+ " \n",
+ "print('The dfi_dt was computed at: ', datetime.datetime.now().time()) \n",
+ "\n",
+ "#'''####### g * ( E - P ) ########'''\n",
+ "#emp = evapor - precip\n",
+ "#emp = g * emp\n",
+ "#print('The E-P was computed at: ', datetime.datetime.now().time()) \n",
+ "\n",
+ "'''####### dp_sfc / dt #######'''\n",
+ "dp_sfc_dt = np.full((ntimes,nlats,nlons), np.nan, dtype=float)\n",
+ "for ti in range(1,ntimes):\n",
+ " dp_sfc_dt[ti,:,:] = (p_sfc[ti,:,:]-p_sfc[ti-1,:,:])\n",
+ "print('The dp_dt was computed at: ', datetime.datetime.now().time()) \n",
+ "\n",
+ "# We calculate the vertical integral @ each timestep-lat-lon\n",
+ "I_itt = np.full((ntimes,nlats,nlons), np.nan, dtype=float)\n",
+ "I_tadv = np.full((ntimes,nlats,nlons), np.nan, dtype=float)\n",
+ "I_vmt = np.full((ntimes,nlats,nlons), np.nan, dtype=float)\n",
+ "for ti in range(ntimes):\n",
+ " for la in range(nlats):\n",
+ " for lo in range(nlons):\n",
+ " I_itt [ti, la, lo] = np.trapz(itt_data [ti, 0:int(ilevs_itt [ti, la, lo]), la, lo], x = np.log(p_levs[ti, 0:int(ilevs_itt [ti,la,lo]), la, lo]))\n",
+ " I_tadv[ti, la, lo] = np.trapz(tadv_data[ti, 0:int(ilevs_tadv [ti, la, lo]), la, lo], x = np.log(p_levs[ti, 0:int(ilevs_tadv [ti,la,lo]), la, lo]))\n",
+ " I_vmt [ti, la, lo] = np.trapz(vmt_data [ti, 0:int(ilevs_vmt [ti, la, lo]), la, lo], x = np.log(p_levs[ti, 0:int(ilevs_vmt [ti,la,lo]), la, lo]))\n",
+ "\n",
+ "ITT = np.full((ntimes,nlats,nlons), np.nan, dtype=float)\n",
+ "TADV = np.full((ntimes,nlats,nlons), np.nan, dtype=float)\n",
+ "VMT = np.full((ntimes,nlats,nlons), np.nan, dtype=float)\n",
+ "for ti in range(ntimes):\n",
+ " ITT [ti,:,:] = -1 * I_itt [ti,:,:] * dt * h_in_sec * ro[ti,:,:] * R\n",
+ " TADV[ti,:,:] = -1 * I_tadv[ti,:,:] * dt * h_in_sec * ro[ti,:,:] * R\n",
+ " VMT [ti,:,:] = -1 * I_vmt [ti,:,:] * dt * h_in_sec * ro[ti,:,:] * R\n",
+ "\n",
+ "# here we calculate DIAB as a residual following Fink et al., 2012, this is not the best way to estimate diabatics\n",
+ "DIAB_res = np.full((ntimes,nlats,nlons), np.nan, dtype=float)\n",
+ "for stp in range(ntimes):\n",
+ " DIAB_res[stp,:,:] = ITT[stp,:,:] - TADV[stp,:,:] - VMT[stp,:,:]\n",
+ "\n",
+ "print('##########################################')\n",
+ "print('Memory after we calculate PTE monthly data')\n",
+ "print_memory()\n",
+ "print('##########################################')\n",
+ "\n",
+ "print('##########################################')\n",
+ "print('The script finished at: ', datetime.datetime.now().time()) \n",
+ "print('##########################################') "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "We saved the outputa data at: 10:27:07.897587\n",
+ "####################\n",
+ " STATUS == FINISHED \n",
+ "####################\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Saving the output gpensctrl_y05_m05\n",
+ "# opath = the output path\n",
+ "# np.save(opath+filename, pte_term)\n",
+ "\n",
+ "print('We saved the outputa data at: ', datetime.datetime.now().time()) \n",
+ "print('####################')\n",
+ "print(' STATUS == FINISHED ')\n",
+ "print('####################')"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "nawdex-hackathon",
+ "language": "python",
+ "name": "nawdex-hackathon"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/scripts/processing_scripts/theta_e/prepare_data.sh b/scripts/processing_scripts/theta_e/prepare_data.sh
new file mode 100755
index 0000000..8ba8bdd
--- /dev/null
+++ b/scripts/processing_scripts/theta_e/prepare_data.sh
@@ -0,0 +1,44 @@
+#!/bin/bash
+#BATCH --job-name=ipv_batch
+#SBATCH --partition=prepost,gpu
+#SBATCH --ntasks=48
+#SBATCH --mem-per-cpu=5300
+#SBATCH --time=12:00:00
+#SBATCH --account=bm0834
+#SBATCH --exclusive
+#SBATCH --output=ipv_batch.o%j
+
+set -evx
+echo "start: $(date)"
+
+export CDO_NTHREADS=12
+export OMP_NUM_THREADS=${CDO_NTHREADS}
+srun_cmd="srun -Q -n1 -c${CDO_NTHREADS} --cpu-bind=threads --exclusive"
+
+module load nco
+ncatted -a standard_name,P,o,c,"air_pressure" ../P20160922_12 _P20160922_12
+ncatted -a standard_name,P,o,c,"air_pressure" ../P20160923_12 _P20160923_12
+ncatted -a standard_name,P,o,c,"air_pressure" ../P20160924_12 _P20160924_12
+
+mv _P20160922_12 P20160922_12
+mv _P20160923_12 P20160923_12
+mv _P20160924_12 P20160924_12
+
+#ncatted -O standard_name,PS,o,c,"surface pressure" P20160922_12
+#ncatted -O standard_name,PS,o,c,"surface pressure" P20160923_12
+#ncatted -O standard_name,PS,o,c,"surface pressure" P20160924_12
+
+
+cdo -P ${CDO_NTHREADS} ap2plx,100000,92500,85000,60000,50000,40000,35000,30000,25000,20000,15000,10000,5000 -sellonlatbox,-60,30,25,75 -aexpr,'air_pressure=air_pressure*100' -aexpr,'PS=PS*100' -chname,P,air_pressure -selvar,P,PS,QV,T,U,V,z_mc P20160922_12 input1.nc
+
+cdo -P ${CDO_NTHREADS} ap2plx,100000,92500,85000,60000,50000,40000,35000,30000,25000,20000,15000,10000,5000 -sellonlatbox,-60,30,25,75 -aexpr,'air_pressure=air_pressure*100' -aexpr,'PS=PS*100' -chname,P,air_pressure -selvar,P,PS,QV,T,U,V,z_mc P20160923_12 input2.nc
+
+cdo -P ${CDO_NTHREADS} ap2plx,100000,92500,85000,60000,50000,40000,35000,30000,25000,20000,15000,10000,5000 -sellonlatbox,-60,30,25,75 -aexpr,'air_pressure=air_pressure*100' -aexpr,'PS=PS*100' -chname,P,air_pressure -selvar,P,PS,QV,T,U,V,z_mc P20160924_12 input3.nc
+
+
+
+echo "end: $(date)"
+
+exit
+
+
diff --git a/scripts/processing_scripts/theta_e/thetae.py b/scripts/processing_scripts/theta_e/thetae.py
new file mode 100755
index 0000000..7044618
--- /dev/null
+++ b/scripts/processing_scripts/theta_e/thetae.py
@@ -0,0 +1,62 @@
+import cartopy.crs as ccrs
+import cartopy.feature as cfeature
+import matplotlib.pyplot as plt
+import metpy.calc
+from metpy.units import units
+from netCDF4 import num2date
+import numpy as np
+import xarray as xr
+import pickle
+
+
+############################################22sept#################################
+
+data=xr.open_dataset('other/ap2pl_input1.nc')
+data=data.sel(plev=85000)
+data = data.metpy.parse_cf()
+data.QV.attrs['units'] = 'kg/kg'
+data['QV']=data['QV']/1000
+data['air_pressure'] = data['air_pressure']/100
+data.air_pressure.attrs['units'] = 'hPa'
+
+dewpoint=metpy.calc.dewpoint_from_specific_humidity(data['air_pressure'], data['T'], data['QV'])
+ap2pl_thetae=metpy.calc.equivalent_potential_temperature(data['air_pressure'], data['T'], dewpoint)
+ap2pl_thetae=np.array(ap2pl_thetae)
+
+with open("ap2pl_thetae22.pkl","wb") as f:
+ pickle.dump(ap2pl_thetae,f)
+
+###################################23sept##############################################
+
+data=xr.open_dataset('other/ap2pl_input2.nc')
+data=data.sel(plev=85000)
+data = data.metpy.parse_cf()
+data.QV.attrs['units'] = 'kg/kg'
+data['QV']=data['QV']/1000
+data['air_pressure'] = data['air_pressure']/100
+data.air_pressure.attrs['units'] = 'hPa'
+
+dewpoint=metpy.calc.dewpoint_from_specific_humidity(data['air_pressure'], data['T'], data['QV'])
+ap2pl_thetae=metpy.calc.equivalent_potential_temperature(data['air_pressure'], data['T'], dewpoint)
+ap2pl_thetae=np.array(ap2pl_thetae)
+
+with open("ap2pl_thetae23.pkl","wb") as f:
+ pickle.dump(ap2pl_thetae,f)
+
+####################################24sept###############################################
+
+
+data=xr.open_dataset('other/ap2pl_input3.nc')
+data=data.sel(plev=85000)
+data = data.metpy.parse_cf()
+data.QV.attrs['units'] = 'kg/kg'
+data['QV']=data['QV']/1000
+data['air_pressure'] = data['air_pressure']/100
+data.air_pressure.attrs['units'] = 'hPa'
+
+dewpoint=metpy.calc.dewpoint_from_specific_humidity(data['air_pressure'], data['T'], data['QV'])
+ap2pl_thetae=metpy.calc.equivalent_potential_temperature(data['air_pressure'], data['T'], dewpoint)
+ap2pl_thetae=np.array(ap2pl_thetae)
+
+with open("ap2pl_thetae24.pkl","wb") as f:
+ pickle.dump(ap2pl_thetae,f)
diff --git a/scripts/processing_scripts/trajectories/run.sh b/scripts/processing_scripts/trajectories/run.sh
new file mode 100755
index 0000000..79b08c3
--- /dev/null
+++ b/scripts/processing_scripts/trajectories/run.sh
@@ -0,0 +1,5 @@
+#icon
+create_startf.icon 20160922_12 startf 'box.grid(-45,0,35,60) @ profile(1050,790,14) @ hPa'
+caltra.icon 20160922_12 20160924_12 startf trajectory -j
+trace.icon trajectory trajectory -f P 1. 0 P
+seltra.icon trajectory outtra 'GT:P(DIFF):600:0,48'
diff --git a/scripts/processing_scripts/trajectories/tracevars b/scripts/processing_scripts/trajectories/tracevars
new file mode 100755
index 0000000..b25eb58
--- /dev/null
+++ b/scripts/processing_scripts/trajectories/tracevars
@@ -0,0 +1,10 @@
+DPVR_total 1000000. 0 S
+DPVR_mphy 1000000. 0 S
+DPVR_radlw 1000000. 0 S
+DPVR_radsw 1000000. 0 S
+DPVR_totrad 1000000. 0 S
+DPVR_hr 1000000. 0 S
+DPVR_dyn 1000000. 0 S
+DPVR_turb 1000000. 0 S
+flx 1. 0 S
+hr 1. 0 S
diff --git a/scripts/processing_scripts/trajectories/tracevars1 b/scripts/processing_scripts/trajectories/tracevars1
new file mode 100755
index 0000000..b25eb58
--- /dev/null
+++ b/scripts/processing_scripts/trajectories/tracevars1
@@ -0,0 +1,10 @@
+DPVR_total 1000000. 0 S
+DPVR_mphy 1000000. 0 S
+DPVR_radlw 1000000. 0 S
+DPVR_radsw 1000000. 0 S
+DPVR_totrad 1000000. 0 S
+DPVR_hr 1000000. 0 S
+DPVR_dyn 1000000. 0 S
+DPVR_turb 1000000. 0 S
+flx 1. 0 S
+hr 1. 0 S
diff --git a/scripts/processing_scripts/trajectories/tracevars2 b/scripts/processing_scripts/trajectories/tracevars2
new file mode 100755
index 0000000..c72267b
--- /dev/null
+++ b/scripts/processing_scripts/trajectories/tracevars2
@@ -0,0 +1,8 @@
+T 1. 0 P
+QV 1. 0 P
+QC 1. 0 P
+QI 1. 0 P
+TH 1. 1 *
+W 1. 0 P
+PV 1. 0 P
+AV 10000. 0 S
diff --git a/scripts/processing_scripts/trajectories/tracevars3 b/scripts/processing_scripts/trajectories/tracevars3
new file mode 100755
index 0000000..adbcbed
--- /dev/null
+++ b/scripts/processing_scripts/trajectories/tracevars3
@@ -0,0 +1,10 @@
+DHR_dyn 1. 0 P
+DHR_radsw 1. 0 P
+DHR_radlw 1. 0 P
+DHR_turb 1. 0 P
+DHR_total 1. 0 P
+DHR_mphy 1. 0 P
+LWFLXALL 1. 0 P
+LWFLXCLR 1. 0 P
+SWFLXALL 1. 0 P
+SWFLXCLR 1. 0 P
--
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