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Commit 2e9913d5 authored by Aiko Voigt's avatar Aiko Voigt
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Adds functions to download era5 and era5-land data

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era5-download/download.py 0 → 100644
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import xarray as _xr
import cdsapi as _cdsapi
# location of downloaded files
_path = "/srvfs/scratch/avoigt/msc-intro-computational-meteorology-exercises-w2024/"
def era5_land(_year, _month):
"""
Downloads era5 land data for a given year and month.
"""
_dataset = "reanalysis-era5-land"
_request = {
"variable": [
"2m_temperature", "surface_solar_radiation_downwards",
"10m_u_component_of_wind", "10m_v_component_of_wind"
],
"year": _year,
"month": _month,
"day": [
"01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12",
"13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24",
"25", "26", "27", "28", "29", "30", "31"],
"time": [
"00:00", "01:00", "02:00", "03:00", "04:00", "05:00", "06:00", "07:00", "08:00",
"09:00", "10:00", "11:00", "12:00", "13:00", "14:00", "15:00", "16:00", "17:00",
"18:00", "19:00", "20:00", "21:00", "22:00", "23:00"],
"data_format": "netcdf",
"download_format": "unarchived"
}
_client = _cdsapi.Client()
_client.retrieve(_dataset, _request).download(_path+"/era5-land-"+_year+"-"+_month+".nc")
def era5(_year, _month):
"""
Downloads era5 data for a given year and month.
"""
_dataset = "reanalysis-era5-single-levels"
_request = {
"product_type": ["reanalysis"],
"variable": [
"2m_temperature", "surface_solar_radiation_downwards", "surface_solar_radiation_downward_clear_sky",
"10m_u_component_of_wind", "10m_v_component_of_wind"
],
"year": _year,
"month": _month,
"day": [
"01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12",
"13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24",
"25", "26", "27", "28", "29", "30", "31"],
"time": [
"00:00", "01:00", "02:00", "03:00", "04:00", "05:00", "06:00", "07:00", "08:00",
"09:00", "10:00", "11:00", "12:00", "13:00", "14:00", "15:00", "16:00", "17:00",
"18:00", "19:00", "20:00", "21:00", "22:00", "23:00"],
"data_format": "netcdf",
"download_format": "unarchived"
}
_client = _cdsapi.Client()
_client.retrieve(_dataset, _request).download(_path+"/era5-"+_year+"-"+_month+".nc")
era5-download/era5-download.py
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− 43
View file @ 2e9913d5
# call with: # call with:
# /srvfs/home/avoigt/micromamba/envs/intro-comp-meteo-ex-w2024/bin/python3.10 era5-download.py # /srvfs/home/avoigt/micromamba/envs/intro-comp-meteo-ex-w2024/bin/python3.10 era5-download.py
import xarray as xr import numpy as np
import cdsapi import download as download
import cdsapi # define list of years
ystart=2000;
yend=2010;
years=[];
[years.append(str(year)) for year in np.arange(ystart,yend+1)];
dataset = "reanalysis-era5-single-levels" # define list of months
request = { months = ["01","02","03","04","05","06","07","08","09","10","11","12"];
"product_type": ["reanalysis"],
"variable": [
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_solar_radiation_downward_clear_sky",
"surface_solar_radiation_downwards"
],
"year": ["1950"],
"month": ["01"],
"day": [
"01", "02", "03",
"04", "05", "06",
"07", "08", "09",
"10", "11", "12",
"13", "14", "15",
"16", "17", "18",
"19", "20", "21",
"22", "23", "24",
"25", "26", "27",
"28", "29", "30",
"31"
],
"time": [
"00:00", "01:00", "02:00",
"03:00", "04:00", "05:00",
"06:00", "07:00", "08:00",
"09:00", "10:00", "11:00",
"12:00", "13:00", "14:00",
"15:00", "16:00", "17:00",
"18:00", "19:00", "20:00",
"21:00", "22:00", "23:00"
],
"data_format": "netcdf",
"download_format": "unarchived"
}
client = cdsapi.Client() for year in years:
client.retrieve(dataset, request).download("/srvfs/scratch/avoigt/msc-intro-computational-meteorology-exercises-w2024/era5-1950-01.nc") for month in months:
\ No newline at end of file download.era5(year, month)
\ No newline at end of file
era5-download/era5-land-download.py
+ 12
− 41
View file @ 2e9913d5
# call with: # call with:
# /srvfs/home/avoigt/micromamba/envs/intro-comp-meteo-ex-w2024/bin/python3.10 era5-land-download.py # /srvfs/home/avoigt/micromamba/envs/intro-comp-meteo-ex-w2024/bin/python3.10 era5-land-download.py
import xarray as xr import numpy as np
import cdsapi import download as download
import cdsapi # define list of years
ystart=2000;
yend=2010;
years=[];
[years.append(str(year)) for year in np.arange(ystart,yend+1)];
dataset = "reanalysis-era5-land" # define list of months
request = { months = ["01","02","03","04","05","06","07","08","09","10","11","12"];
"variable": [
"2m_temperature",
"surface_solar_radiation_downwards",
"10m_u_component_of_wind",
"10m_v_component_of_wind"
],
"year": "1950",
"month": "01",
"day": [
"01", "02", "03",
"04", "05", "06",
"07", "08", "09",
"10", "11", "12",
"13", "14", "15",
"16", "17", "18",
"19", "20", "21",
"22", "23", "24",
"25", "26", "27",
"28", "29", "30",
"31"
],
"time": [
"00:00", "01:00", "02:00",
"03:00", "04:00", "05:00",
"06:00", "07:00", "08:00",
"09:00", "10:00", "11:00",
"12:00", "13:00", "14:00",
"15:00", "16:00", "17:00",
"18:00", "19:00", "20:00",
"21:00", "22:00", "23:00"
],
"data_format": "netcdf",
"download_format": "unarchived"
}
client = cdsapi.Client() for year in years:
client.retrieve(dataset, request).download("/srvfs/scratch/avoigt/msc-intro-computational-meteorology-exercises-w2024/era5-land-1950-01.nc") for month in months:
\ No newline at end of file download.era5_land(year, month)
\ No newline at end of file
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