diff --git a/.gitignore b/.gitignore
index 87620ac7e74efee566c6ee9d2ed7281ebafb4788..0d0181549d3aee84d8978531c76dc78afda04906 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1 +1,2 @@
 .ipynb_checkpoints/
+python_scripts/plots/
diff --git a/python_scripts/paper_5000_and_3000ppmv_and_1500ppmv_plot.ipynb b/python_scripts/5000ppmv_and_3000ppmv_and_1500ppmv_plot.ipynb
similarity index 100%
rename from python_scripts/paper_5000_and_3000ppmv_and_1500ppmv_plot.ipynb
rename to python_scripts/5000ppmv_and_3000ppmv_and_1500ppmv_plot.ipynb
diff --git a/python_scripts/Winton_Semtner_lores_comparison_PAPERPLOTS.ipynb b/python_scripts/Winton_Semtner_lores_comparison.ipynb
similarity index 72%
rename from python_scripts/Winton_Semtner_lores_comparison_PAPERPLOTS.ipynb
rename to python_scripts/Winton_Semtner_lores_comparison.ipynb
index 8370dede2c0a7009354ae704bcbe8f5889a813b2..d98eee6a0846a5bf63fb42b41e18123f4126683d 100644
--- a/python_scripts/Winton_Semtner_lores_comparison_PAPERPLOTS.ipynb
+++ b/python_scripts/Winton_Semtner_lores_comparison.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Zonal distribution of albedo and shortwave radiation"
+    "# Zonal distribution of albedo and shortwave radiation\n"
    ]
   },
   {
@@ -839,81 +839,6 @@
     "ax[1,1].set_xlabel(\"latitude [°]\")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5, 0, 'latitude [°]')"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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Y8811XtLN5ZXaK9l5pfZNefrXXkReiLMJ4Msi3E/HFyZnUhkczaSu0l+1+hrPl9NQ12e7G1eYW0kmNWFp3efS+9f9slK+M7eQTFd/HlfVDFlp/4kzFdxwVfR2mJH23R9rYjadnPSZKPRGqSuJiOBsZH7aGPNPG7zsu8BbQqvZbgYmjDGu/CF0c5n/V3F2IT8sIt0i8lvAJ3BK9t8rIk+JyNqtLHyrqaWMYz4LRk61l3CoaoikxJ3XY4vGRXOt+eUkUhMWo35cpbzW1FJm7Sbk+JlKrr+q20rbG5mYTycnbc/c26q955nAm4E7QjHCUyLyYhF5l4i8K/SaHwJtOJXa/wP4nQ2OtWuujRsbY16/zpc/41Z7bmtqKeO5N53n6z/zz9z37Lxzh3u4eojmVleS+HdkfiWZtEQNkNTe19hSyitvb976hS443V7CvtJxMtPnmZ5N3foNHhiZzqauSIeBlTuMMQ+xxUbNodSc/+1Ff/yTUONzza2lHN3fT0C2l5TmtqaWMo4dtD+yldF1adh9fjmZFB1BUjHgZFsph6uHSExY2frFUba0nMDJ1lKuOxS99Irdjhif7q3kaEUXLuXEXialf/dJ5UrthgZIERqbSmd8Ko3aitGtX+yhxvNlNBywHyCFWzuClNnr/R8XpaJhZi6F3uFsDlbZyT984mwF1x2O/jT4TvVO5ANQnuOv66BSbtAAaRts5iNspLmtlKtqBklK3HkQEu08pLnlZFI2SNJez4mh8qi2r1Q02cw/fOJMJTdc1U00R2x2d74LTd3VNFRuawGjUnuSBkjb0NhSRsMBf82/z84nc2Egl0NVdlbahFudZlsMJpIUWCGAv6YjldqJppZS6i2N0nb15xJIMFQUTVhpfz1NPRogqfigAdI2NLc6F0oR9+fft8O5w3WlDMQOCfMrSaRqoraKAc2tZRypHSAQsBHwC0+cqeD6KC73h92NIjV219BQ0RG9zijlUxogbcPweCYz88lUlY7Z7splGlvKaKjz18jW/HKyLvVXMWFyJpWhsUzqKkestH9pms0fLowWkpK4THHW+I6PEb6oQym/0gBpm/xYD6m51clD2s1Km2jnIekIkoolTa328g+fPFtBQ12flZV06xOaeqo5VtlhuyNKuUoDpG1qaimj3md5SDNzKfQO2VtpE271ztAZQYo8UVspP2tsKbW2WnRyJpWeoRyuqhmM6nF3c1PU1FNNfYXmIanYpgHSNl1ayeavPKRGn+UhabFIFUuaW8o4un/AWh2046crufFq/0yzNXVXcyyKidpaCkT5kQZI2zQwmsXScgKVxf5ZVQKrAZJ/pv40B0nFkrGpdManU6kpt5N/ePxMJTe4ECDtdBSpY7iYrNQ58jPWbrSuVOzQAGkHmltL/VcPqbWUq2oHSdjFSpto5iHNrSSTmqhTbCp22KyDdrq9hLKCSXIy56y0v5YhQHNPVVRHkcLpptbKDzRA2oEmH9ZDmp5NpX84i4M+qYekI0gq1jS12qtavxIMcOJ8WdSX+8POb4yc5f6ah6RilwZIO9Do0zwkP62wm19J0gBJxZSmllLq6/qxdd4fP1PJjVdfsNL2epyCkR22u6GUazRA2oHeoWwCAUNpwZTtrlym0UdbocyvJOsyfxVThsczmZ1PotpSHbTjpyu5/nCPbwrVtg2VUpAxRU7atO2uKOUKDZB2RPy5L1trGUf2767ib7TykOaXk0jTESQVY5osFmUdGM1mZj6J/RXRL1i5k/M+aAKc7K3SbUdUzNIAaYeaWkt9l4c0OZPK4EgWdZX26yGtjAopmqStYkxzS5m1fdkAjp/e56uq2k091RzTPCQVozRA2iE/jiCBU9Du2EH7/VpY2ngESVeoqL2qsaU0lOdnKQ/JxXpIOxlFaurWjWtV7NIAaYe6+nNJS1miMNdf8++NLeW+SNSeX0oiZRs5SA+OH3KxN0pFx8BoFssrASqK7NRBO9FSRt2+YdJS/DF9fX6wnJLsMbJSZm13Ramo0wBpx4SmVv+sGlvV3FrK0f391vOQ5peTNQdJxSAJ7ctmZxh0YTGJs51FXOPSKPF2z/2VYAJn+iupr+hypT9K2aQB0i40t5T6bl+2iek0hsczOOBCIud2zC/pZrUqNtmeXj9+2p2q2qu2GyQ1ddfocn8VkzRA2gW/be+xyg/L/ReWki7brFb3WlKxounixrX26iG5nagt7T0RB0qNmoekYpQGSLvQ0ZdPTuY8+dn+mn+PRuC222m2+SWtpK1iU89QDokJQUry7dRBa+/NJyV5mbJC9/OgIrkOnBuoYF/eMOnJ8673RykvaYC0C8YIzW2lVpf9rqe5pYyjB/qt7TwOsLCcpHuxqRgloZsQW9Pr4upqtita2yJIWlpJ5NxABUfLNQ9JxRYNkHapqcV/G9eOTaUzPpVGbcWotT7MLyWRHtQ7ShWbnERti3lIHkyzhdsqSGrsrnZt41qlbNEAaZf8uHEtRCeRdDfTbPNLyaQm6RSbik3NLaXUWwyQnjhTQUNdH4kJ3uX2bXY9aOquoV4LRqoYowHSLrX2FFCYO0N2hr9GSxpb7O08Ds4UW0qSTrGp2NTZn0d6qr06aFOzqXQP5nJk/4Cn7W4UJJ3pr6C2cGBbtc8yumai1S2lXKEB0i4FgwFOtZdYDUbW09RSRv2BfmsbW84vJZGqAZKKWUJzS6m1ekgAj5/2dppt1XpB0sJyMq1DpRwtv+B5f5RyiwZIUdDU6r88pJGJDKZnU3a98/hOp9kWlpNISlhGsJcorpSbmiyP0rpdD2kz610XtB6SijUaIEVBU0sZ9RbvJDfS1FrGsYO9lloXFpcvr4WkVCyxXW/sTGcxJflT5GXZKTOyNkhq7K6mYRd5SForTfmNBkhRcL6riLLCSTLTFmx35TJOovbuA7edjiJpNW0Vyzr78sjNnLcWoASDAU6cK+d6C9Nsq8KvDaf69lFX3EeyBzdFHd1lrrehlAZIUbASDHC2o5ijPlvN1txaytHafmxV/F0OJpAY0LtCFZuCJsDJthLLq9kque7w7vdO3I3VIGl+KYWJuXTyMvy1gbdSO6UBUpRc2n7APwZGMwEoybdzwTIGxErLSnnDbsFIePJcOdce6sXWTdCq1SBpaSWR5MRlq31RKlo0QIqSxihNZ0WXcKq9hKtrd78UeGfTbIJYvnAr5SZntai9G6O+4WyCQaGy2P1tRyKxuJxIcoIGSCo2aIAUJee6iqgqHSMtxV85N6c7Sri6xttaKavMNmOjn8zWudMRpVzS2lNAcd60xTpowlPnKkKjSHZJew+LOoKkYkii7Q7EiqXlRM53FXFk/wDHT++z3Z2LTrcXc9v1rVE5lrT3YGortvmmqDStlC+t1kGrP9DHw421Vvrw1LlybjnWwfcfOmKl/XCL00EdQYoTk8HUHdzU+m2WZXM6ghRFTj6Cv/KQzl8opKpknJQk7y9aRqfYVByI1mrRnXrqXDnHDvZZ3Zx61eJSAkk6gqRihAZIUeTHjWuXlhPp6MvjYNWQ521vd4pNqb0oGvse7sboZAbjU2nsrxyx1odVi0sJpIzYmdJXKto0QIqiMx0l1JaPWhmt2czpjugkasP2k7U3mmFL31sjrUpt6PyFQsoLJ8mwWAftqYur2exaWk4kOUlLe6jYoAFSFC0sJdLWUxC1YCRaTrUXc6R20ELLYm0vOKW8srySwNnOIo7utxf1n/BJgLS4lKABkooZGiBFme3h9vWcbl9dyRadYCXSUSQNjVS8aLJcD6m5rZSrqget5yEtLieQnOhegKQrXZWXNECKMj/mIQ2PZ7K0kkBZ4ZSF1i+FSbrXkopVtvdlm5hOY3wqjeqy3W1OvVvOCNLyjrcnUspPNECKslPtJRzcN+y7lRxn2oujWg8pkgugMaKr/FVcONtpvw7aybYSju63O72/tJxAkosjSEp5SQOkKJtbSKarP4/D1d6vGtvM6Y5irraSh6RU7FtaTuT8hUKOWMw/PNleajUPCpw8TM1BUrFCAyQXNPmwHtKlPCRvpffZ2elcKa/Zrod0srXEeoC0uORuDpJSXtIAyQWNPsxDaukupLJ4gtTkJc/adKbYNFVbxQfbCzR6hnJITlqhKM/O5tQAS2Gr2DQPSe11GiC54GRbKYerh0hM8M+d1NJyAm29+RzycOpPQyMVT063l7C/YsRiHTRx8pBq7Y0iLS47SdpKxQINkFwwM5dC73A2B/cN2+7KZaI9zRbJHaJolraKEwtLibT35lutg3ayrZQjFhO1t1sHKaNrxsXeKLU7GiC5xPZw+3q8TtTWKTYVb5payqg/YG8E51S73Twkt+sgKeUlDZBc4sd6SNEuGKmUupztDatbLhRSXjRJeqqdcgNLS4kkhY0gaR6S2ss0QHJJc2sZR2oHCATs77C9amQig4XFRCqKJrxrVKfYVBw51VbCwaoha3XQllcSOH+h0MqKVYAFXcWmYogGSC6ZnEllaCyTOh/ssB3uVHtJVKfZNrtD1Ck2FW/mFpK50J9rtQ7ayVZ7eUirlbTd8OD4IVeOq9RGNEByUVNrGfUHfDbN1uFdPSSDJmmr+GN7mu1km72CkUvLiTqCpGKGBkguamwp9WHBSP9X1O7oLrPdBaV2zLkxspcofbqjmENVwyRYmN5fXEq4LAdpu3S/RuUnGiC5qLmljKMH+q3vsB2uraeAssJJj/aMEjQhXMWbk62lXFUzaCVAAafMyMBIFgcsTO8vLieQsiZA0kRttVdpgOSisal0JqbSqCm3u8N2uOWVBNq6C7jKgxwJYzRHW8Wf6bkU+oazOFRlMQ/J0nL/3Y4gKeUnGiC5rNGn9ZAO17ifqG0iCI9S+pOi1g+l/MJ2HTRbBSOXlhNItrSCT6lo0wDJZU2tZTT4LFH7bGexZ6tsRHSKTcUf6wHSxY1rvT3/FhYTt1VJWyk/0wDJZU0tpdTXeX+h2syZzmIOVw/idp90ik3Fq+a2Uqt10AbHMlkJBigrnPK03Y0qaWsektqLNEBy2fB4JnPzSVSX+icPaWgsA4Bi13f91vBIxaeJ6TSGxzM4UGGrDpqEjSJ5Jxh0/qT4qUCuUjulAZIHnOF2e8t+ryTONJsHeUjoFJuKU7bzD0+GRrG8pvuxqVihAZIHnA0s/ZWHdKajiMMur7LZaoot3U8xo1JR1mS5YOSp9hKOWqjH5FTT1gBJ7X0aIHngUsFI/4ymnO0s5qoojiCtJ5JVbErFquZWu3XQ2nvzKcyZISt93tN2F5cT191uZDd5SCeGynfTJaV2xLUASUT+U0QGRaQ57Gv5InKviJwP/T/Prfb9ZGA0i5VgwNtNYrdwrquIA5Ujrhez01VsKl6NTqYzMZ1KdZmd/MNgMMCZzmLPl/sv6QiSihFujiB9Dnjhmq/9KfBTY8xB4Kehx3FAfJeHNDufzOBYJjXlo661YdaJjXQrARVPbE+z2diXbWFJc5BUbHAtQDLGPACs/ev7cuDzoc8/D7zCrfb9xvYGlus521Ec1TykK4fQdYpNxTdf1EPyOFFbR5BUrPA6B6nEGNMHEPp/8UYvFJF3isjjIvL4ovF2Dt0NTS2loQulf6ac2nrzqS5zbwQJnCm2jK4ZV9tQe0OsndORaGwps1oH7fyFotCebN61vxwMkJiwfoCk9ZDUXuLbJG1jzF3GmBuNMTcmS6rt7uxaz1AOCQlBSvK9Ldy2mZGJdPJz5lw7vn9CQeUHsXZOR2J4PJP5hUSqSsettD87n8z8YiJ5We6d52sZoyPHKjZ4HSANiEgZQOj/7i6j8hUJ5SP4Jw9pbDKd/KxZ291QKqbZnmbrG8mmrHDSWvtK7VVeB0jfBd4a+vytwHc8bt8q2xfKtUYn08nL0QBJKTc1ttjdj7F/OMvzLUeUigVuLvP/KvBL4LCIdIvIbwEfBp4nIueB54Uexw1nXzYfBUgT6eRnz6KTYUq559JKNjvnWf9IFqUFOoKk/G+98kDrvOZ2EXlKRE6KyP1u9sfNVWyvN8aUGWOSjDGVxpjPGGNGjDHPNcYcDP3f3Qxhn+nszyM9dYnCXLf3QIvM/GISwWCA9NSlqB1TkzCVulz/iFMHrbzITpDSN5JNaYF/R5B0EYcK8zmuLA90kYjkAv8PeJkx5ijwajc749sk7dgknGwt9VU9pNHJtNAoklLKHUJTa6m1Mh/OFJt/RpD0JkptZIPyQOHeAHzTGNMVer2recwaIHnMdj7CWqOT6eRrHpJSrrKZf9g77O8RJBVXCldLfYQ+3rnN9x8C8kTkPhE5LiJvcaOTqxLdPLi6UlNLGb/2rFO2u3HRpTwkpZRbmlrKeP3zn8TJQ/J2GfzoRDrZGQskJy2zuLT3Lvlj/VnklWqA5zfTKyk8OH5om+96aNgYc+Mumk0EbgCeC6QBvxSRR4wx53ZxzA3pCJLHOnrzyM2aI88ny+tHJzVAUspt3YM5JCYGKcn3Pv8waAIMjmb6qgabUjvUDfzIGDNjjBkGHgCucasxDZA8FjQBTrb5ZzXb2FQa+dneFZFbtw/9WVbbV8p9QnNrqbVptr4Rf+UhKbVD3wFuFZFEEUkHng6cdqsxDZAs8FPBSJ1iU8obNvOQ+keyKfMwD0m0mLbagfXKA4nIu0TkXQDGmNPAj4BG4FHg08aYDUsC7Nbem5COAU0tZdx5kytTpts2OplOXpQDJGnvwdRWRPWYSu11jS1lvPI5TVba7hvOotSrYpFaVk3tkDHm9RG85h+Bf/SgOzqCZENLdwHFedNkZ9jfsFNXsSnlja7+PDJSF63UQesfyaJMi0UqtS0aIFkQDAY41V5CvQ+W++sUm1LeMMbJQ6o/4P30et8eWuqf2btiuwtKARogWdPcWuaLgpFTsymkJC+TnLRsuytKxbym1jIrBSOd7Uam0PkvpSKnAZIl/ikYKYxNppOXZXclm1LxwFai9txCMvOLiXqeK7UNGiBZcr6rkPKiSTLSFmx3RWshKeWR9p58crPmyLVQB+09H30lEzOpnrer1F6lAZIlyysJnO0s4uh++9NsY7ofm1KeWK2D1mAhD2loLJNgUC/5SkVKzxaLnHwE+wGSGyvZdENKpdbX3GKvYKRSKnIaIFnU1FLmj5VsOsWmlGcaLRaM3GtS+pNsd0HFMQ2QLDrTUUR12RhpKYtW+6FL/ZXyTkt3IcX502Sl26+DppTamAZIFi0tJ3L+QiFHages9mN0Mo08y/uxKRUvgsEAp9tLrNRDUkpFTgMky5pb7NdD0ik2pbzVFPN5SFpvSe19GiBZZnMDy1U6xaaUt5wNq2MzQNLQSMUKDZAsO9VRzP6KEVIsVrIen04jO3OegASt9UGpeHKuq4jyoknSU+3mHyqlNqYBkmULi0m09+ZzVY29PKRgMMDUTCq5WZo0qpQXVuug1fugDppSan0aIPlAky/ykLwrFqmbUSrl1EGzPb2ulNqYBkg+4Id8BE3UVspb8VwwUgvJqr0g0XYHFJxqL+Fg1RBJiSssLSdY6YMb1bSVUhs701lMddkYqclLzC96WxAxJWmZw9WDFOXNAIaJ6TTaevIZm0rHGPG0L0r5lQZIPjA7n8yF/lwOVQ1ysq3MSh9GJ9LJc3EDzYyuGWaqMlw7vlJ7zeJSIi0XCjmyf4AnzlR61u4NV1/gd379YXqGchgYzSIYhMLcWarLRvnqj6/jp48d8qwvSvmZBkg+0RiaZrMWIE2mU1U6bqVtpeJVU0sZDQf6PA2Q3v2qX/Jn//ZiBseyLvt6QIJ87oNf44EnD1gbyVbKTzQHySeaW+0maruSg7SwFN3jKRVjmlpLPc8/NMDicgIihkAgSEIgSErSMhlpi0zPpSDij0pG6brAT1mmI0g+0dxayh+/5eckBIKsBL2PW8c8XMW2nhND5dyae85a+0rZcKq9hP2VIyQnLbO45M3l+LsPHOXv3303v2quZnAsExFDTuY8z7ymgx//8rCOHikVogGST0zPpdA3nMXBqiHOdJR43r6uYlPKewuLSXT05nNVzSCN58s9afN7Dx7ll03VPKOhk4qiCUScMh9/++k7r5h2UyqeaYDkI2c7i6mrHLESIE3OpJKVsRD14+p6GKU2d2Egl8ricc8CpBffcpqfPHaQ7z14dJ1nDdE4a0VPfBUDNAfJR5aWAwQCdrb7CIhhJRjlq5o/UhmU8rVDVUOc7yryrL2llcAmIdDurwFaJkDFCh1BUgAkJq6wsqLxslJeys6YpyhvmtaeAs/avPdXhzd4JjqjR0rFCg2QFACJCUGWVjQ5UykvNRzo41R7CUEPF2a8+JbTNLaU0T2YS1LiCg11faQmLxE0QnrKEg+dqPUsYVwpP9OzQAFOgLS8rCNISnmpoa6PphZva5897+ZzPHmuAoCl5QTe/esPMzyeQd9wNi98xhlOd5TQN5ztaZ+0kKzyIw2QFOAESDrFppS36uv6+bf/fqanbS4tBwjIpVzHscl0/u9Xns3gWBZlhZO+qYOklG36F1EBq1Ns+uuglFcy0xYoL5zk/IVCT9udmknlyP6Bi9NrM/PJBAJOUGSMENAASSlAR5BUSGLiCsuag6SUZ44e6OdsZ5Hn590nv/EM/vgtP+fNLzqOCHzsy7fRP+JMqf388TqmZlM87Y9SfqUBkgIgKSHIso4gKeWZhgPe5x8BDI9n8scffylJiStXVM2+91HdqFapVfoXUQGQoEnaSnmqoa6fRgsB0irdUkSpzelfRAXoCJJSXkpLWaSqdIyznd4ViFRKbY9OsSlgNQdJAySlvHBk/wDnu4pYWtZLsNqbZpeTOTHkzfY4tuhfRAWEptg0SVspTxyr66OptdR2N5RSm9AASQGhKTbNQVLKEzYKRCqltkf/IioAEhM1B0kpL6QkLVNbPsrp9hLbXVFKbUL/IioAEhM0B0kpL1xdO0BbTwELut+ZUr6mfxEVEKqkrct+lXJdQ10fzZp/pJTvaYCkgNBebB7uKK5UvGqo67Na/0gpFRn9i6gAQlV19ddBKTclJS5zcN8wp9rs5B8lJqxwc0OHlbaV2mv0L6ICVpf566+DUm46XD1EV38ecwvJVtrPSl/g9173oJW2ldpr9C+iAlaX+WsOklJuOlbXR1OLvfyj5KQVTQ5XKkIaICnAyUFa1hwkpVzVUNdHU6u9/KPkpGUWl/RGSKlI6F9EBehmtUq5LTFhhcPVQ1ZXsKXoCJJSEdO/iApwkrQ1B0kp9xzcN0zvcDYzcynW+qAjSEpFTv8iKiA0xaYBklKuaajro9li/hGERpAWdQRJqUjoX0QFhAIkTdJWyjV+2H8tOVlHkJSKlAZICghV0tYRJKVcEQgEOVI7YDVBG1an2HQESalI6F9EBUBi4gorGiAp5YoDFSMMjWUyOZNqtR9OkraOICkVCf2LqACnDpKOICnlDtvL+1fpCJJSkdO/iApYXeavd5ZKucF2gchVusxfqchpgKSA0Ga1OoKkVNQFJMjRA/3WE7RBl/krtR36F1EBoc1qNUBSKupqyseYmEpjbCrddld0BEmpbbDyF1FEfl9ETopIs4h8VUTsZi6q0Ga1emepVLQ1HOij0QejRxAaQVrU81ypSHgeIIlIBfBe4EZjTD2QALzO636oyyVpoUilXNFQ12d1e5FwKck6gqRUpGz9RUwE0kQkEUgHei31Q4UkJupebEpFn6G+rt9fI0iag6RURDy/lTDG9IjIR4EuYA64xxhzj9f98Fp16Sh//zt3EwiYDV+TnrrIp75xi4e9uiQlaZnFaK9ik+geTqm9prp0jLn5JIbHM213BYD01CXmFpJcbUNk42ucUnuJ5wGSiOQBLwdqgXHgf0TkTcaYL6153TuBdwKkBvxxcdmNG67u5viZSj73vadt+rrx6TSPenRJUuIyxflT9A5lR/3YeqlUq2LtnI5EfZ0/Vq+tqqsc5gs/uMH1doye+CoG2JiMvhNoN8YMAYjIN4FbgMsCJGPMXcBdADmJRXv+dGuo6+e+4wd8sZJlrZqyMXqHclha1twE5Z5YO6cj0XCgj+NnKm13A4DcrFky0xfoHsx1tR0dOFaxwkbSSRdws4iki4gAzwVOW+iHZ0QM9fv9dScZrm7fMC0XCm13Q6kYY0IFIv1x3l9VM8jZzmKM8SKE0TBJ7X2eB0jGmF8BXweeAJpCfbjL6354qaZslImZFEYn/Td6BM6we0t3ge1uKBVTKoomWAkG6B/Jst0VAK6uGeR0e7H7De0gNpqpyoh+P5TaJSvLlowxHzTGXGWMqTfGvNkYs2CjH15p8NFd5Hrq9o3Q2q0jSEpFU8PF/CN/jKZcXTvA6Y4ST9rSHCQVCzTpxAMNdf38srHadjfWlRAIUl02SltPvu2uKBVTGur8UyAyKXGFg/uGOdPh/ghStFaxzfqjdJTao0Qkkj9qQWPM+EZPaoDkOkPDgT7u+tbNtjuyrn0l4wyNZTK3kGy1H9cUaSksFUuc8/6rP77OdkcAZxq9ZzCH2XlvznPjk1EzFdd6Qx+b/TImAFUbPakBksv2lYwzv5jI0Jg/lzW7mqCd4m69FaX8qiR/isTEIN2DOba7AsDR/f2cbPNmek1DI+UTp40xm96hiMiTmz2vpZNd5vv8o8phWlzKPwq/UGoSpoonx3yWf3T0wAAn2zycs9pils3UVnjTDxXPnrHb12iA5LJjPtpmYD3OCJJ7K9jWW1I8Xa5bHajYVu+rGyPDkdp+TrV7M4Lkk5hQxTljzPzq5yKSJyLHROT61Y+1r1mPBkiuMr4eQRIx7K8YpbVHl/grFU0NdX00+WSD2sriCeYWvN3uRBexqZ0Qkf8UkUERad7g+TeKSGPo42ERuSaCY/4t0Ah8HPhY6OOjkfRHc5BcVFY4SdCIb+qgrFVeOMHkTArTs6m2u6JUzCjMnSYjdZGu/jzbXQGg/kC/p9NrEsXwaKF0KWrHUnvC54BPAF/Y4Pl24DZjzJiIvAinhuLTtzjma4ADxpjF7XZGR5Bc5FTRLcWvY851+0a0grZSUdZQ109za5lHFau35mWC9iq/fO9qbzHGPACMbvL8w8aYsdDDR4BI9vFpBnJ30h8dQXKRn6fXwN0EbaXiVcMB/9Q/Aji6f4Cv/+yYZ+2JxkbKG78F3B3B6z4EPBmatrtYlNoY87Kt3qgBkosa6vr52j3+qIOynrp9w3zDwwunUvGgoa6PH/ziatvdACAva5as9AXPp/t2U0lbF3HsDStLAcb6t50+Uigij4c9viu0ifW2iMhzcAKkZ0Xw8s8DH8HZ2iy4nXY0QHJJcd4USYkrvqmDciVDXeWI7sGmVBTlZc2SmzVHu08q0x/ZP8Cpdq82qHVEMwdJxZxhY8yNuzmAiBwDPg28yBgzEmGbH99JWxoguSQ5aYX//sk1+DX/qCR/moWlBMan7G+gm1c6ZbsLSkVFfV0fJ9tKCRp/pHce3d/PqXYbq+n8ed1Te5uIVAHfBN5sjDkX4duOi8iHgO9y+RTbE1u9UQMkl3QP5tI9mGu7Gxs6UDlMq4ujR04hOL2TVPHlUoFIf6jf38+/e73NkcZGaodE5KvA7ThTcd3AB4EkAGPMp4C/AgqA/ydOsttyBCNSq3ku4SeCAe7Yqj8aIMUpZ3pNE7SViqb6A33c+6tDtrsBQEryElWl45zrKvK87d3kIK2lI8zxwxjz+i2efwfwjm0e8zk77Y8/xoGV51zdg02pOPW1e67zTV7fVdWDtPYUsLTs7X3wdlex6TZEyg0i8mu7fY2OIMUpXeKvVPTd/8QB21246OiBAU55XP9o1WYDSLoPm/LIP4pID5tP+v4f4PsbPakBUhzKz54lISHI0JjeuSkVq47u7+d7Dxz1vF1dxaZ8YgD4py1ec36zJzVAikOXRo80m1KpWBQIBLmqZpCPfH7LPFR3aCVtZZkx5vbdHkNzkOLQgUp3848iHUKf9cdenkrFnNryUYbHM5icsbDPosZGKkZogBSHDla5u8R/M1olVyn3Hd3fz8lWO3cggtlwkm2n+UfXFPXuvENK7ZAGSHHHhKrrup+8ubqaRVepKOWtox6d40rFMg2Q4sy+knHmFxIZHs/0pD3d1VsprxlnBKnN0giS6Hmv/ENEXi0iWaHP/1JEviki10fyXg2QdmXvrdaoP9BPs6Wh9/UslC7Z7oJSMaUkf4qAGPqGt72RaNREs1CkUrv0AWPMlIg8C3gBzua1n4zkjRog7crqXZIhINvaJNgaJ0Dyz1YISqnoOrp/IDR6ZGcUR8eOlM+shP7/EuCTxpjvAMmRvFGX+e9QYsIKL3v2SXKz5pibT2J6LoWh8Qzae/IZGM223b0N1e/v56s/vm7rF+5QNIrA1VT2RaEnSu2E4UDlCNOzyQRNgLmFRKZnLawE24Wj+/s56cP8o0iuDbqIQ7mgR0T+HbgT+IiIpBDh4JAGSDv026/6JcYIcwtJJCUGqSwe55ZjHWSkLfLZ7z2NJ89W2u7iFYrypklJXqZ7MMd2V5TynbSURV77vBMc3d9PVvoCIxPpTEyncWEgh1801tLVn2e7ixE5un+AH/3yKnsdEHfm127NjXTzdqUu8xrghcBHjTHjIlIGvD+SN2qAtANJiSvccqyTN37gjVc8V5I/xd+9+27+19+/xkLPNncp/0gHwZVa6/qreji6v5/3f/ylgHMu11UOc3NDJ7/9yl/y8f96lq9HhwEy0+cpzp+mtcfufnCapK18pAz4gTFmQURuB44BX4jkjZqDtANJiSv0DObwvJvOUZI/RUryEilJy6SlLJKctMzKij9/rPX7+2i2tLJFKb/LSl9gcCyTQCBIQIIMjGbxi8ZaPvbl23nyXAWvufOE7S5u6UjNIGc7iwgG7V2DNDRSPvMNYEVE6oDPALXAVyJ5o44g7cDsfBJfvPsGnnNDC/tKx5idT2Z2PonsjAWO1A7w40cO2+7iumrKxrjb5tC7Uj722Kl9HNw3xG/+2mM80lTNyEQGQSMExFBdOkZHX77tLm7p6AF7y/vDrZ1k0w1qlUVBY8yyiLwK+GdjzL+KyJORvFEDpB0RmlrKGBrLoKGuj+K8aYrzZhgay+BfvnYrA6P2ltdu5o8+/lJPl9/ulZV9SgGMTGTw5R/dwIufeZrXPO8EKyvC8Hgm+TmzTM2kcP8T+213cUv1+/v58o8jKvHimkBA1/grX1kSkdcDbwFeGvpaUiRv1ABpF/pHsukfuTwnQcRZ8h80/ptmczsvIPwuMSlhibKcMXrH8yHN1WaVihLD6GQ6X7r7BpISV6gsHqcgZ5aeoRz6hv2dewSQlT5PTfmo1TpnKclLFOVN0x/289ps9Gi7VfbvTG/Zcd9U3Hob8C7g740x7SJSC3wpkjdqgLRjhvVm2w9VDZGTOcejJ6u975KPXFXaQ9doEXNLKRe/Fr6EVzeqVX62tJxAe28B7b0FBCRIQiDIisW8nkjcdLSLp86Vs7hk77J+pGaQtu4CFiz2QalwxphTIvInQFXocTvw4Uje6+8z3teEorxpjtX1cqhqkIqicQCWVwJMz6Zs/tY4cKyyg8bumm3dIerdobJLyEhbICVp+bKvHj0wwA1XdVvqU+Se0dDJI001VvvQUNdHY8ulQrSae6RsE5GXAk8BPwo9vlZEvhvJezXM34GS/Cle8qxTZGcshOogrbCyEqB3OJsHntjP2FS67S56bu2FsKGyk289ebOl3ii1PYerB7m5vhMRyEhbZHY+ia7+XB548gCLSwlMTPu7WGRS4jLXHe7h4/91q9V+NNT18bV7rgW2Hxxtp0ikFpNV2/DXwE3AfQDGmKdC02xbijhAEpFbgJrw9xhjIqolEGt+/Y5GllcCPPDkfsan0kgIBMnOmOf2G1q57nAPn/rGM67ITYoniYFlDpf20NxTBf4r6KvUZRICQd75ykd48mwFvUPZLC0nkJs1R03ZGPsrHuMrP76OmTl/jwrfdOQCrT0FTM7YC+SSEpep2zfMKR9W8VZxbdkYMyFyWUpMRCsJIgqQROSLwAGcYarVfU0MERZbijVH9/fz0S/dTnvv5cXYjp/Zxz+893uU5E/FVYC09k7xUEkvveP5zCxodrbyv8PVg6SlLPGlu2+4+LXU5CXKCid56a2neP3zn+TT3/H3aOgrbm/mew8esdqHq2qG6OzLY24hOaLRo+0maCu1Q80i8gYgQUQOAu8FHo7kjZGOIN0IHDFG92gG+Pb99bz1JY/T3FZKZ18eU7MpLC8nkJK8TFJCkJGJ+D7xGyo7aereXpK6biOgbBkcy6SrP5dfv6ORhxur6R/JZn4xifbeAu599BD/6xWP2O7ipg5VDVGcP81DJyKaNXBNQ10fTS1lmnek/OY9wF8AC8BXgR8DfxvJGyMNkJqBUkAnfoGfP16HMUJt+SjFedMkJgTJTF+gvGiSz3//xrjf6+xYZQc/aLzxsq/pCjblV8Pjmdz98FW84BlnOVAxwsx8EkvLCSQnrZCZtshDT9kNPLbyytub+M79R61WzwZoONDHt+6rj8qx9BqhosUYM4sTIP3Fdt+7aYAkIt/DmUrLAk6JyKM4Udhqwy/bboOxYHklgZ88eoiEQJCMNGd7kYXFRKb22K7f0bD2bjEgK1xddoGP3P0qHUJXe8aJ8xWcbCulumyMfcXjpKUuUZAzyy8bq3nynH9HRApzp7nh6m7+9b+fZbUfiQkrHK4eonnlOqv9UGotETkE/BFX5lDfsdV7txpB+uiuehbjVoIBq0mRflRX3M/QVA6T8xocqb1leSWB1u5CWrsL2ajOmd+84raT/OTRg8zOJ1vtx8GqYXomCnacd7idFWxKbdP/AJ8CPs2lHOqIbBogGWPuBxCRjxhj/iT8ORH5CHD/9vqpvGHv4r5a/2g7rinqdaczSu2Y/4OjtJRFnn/zWd7zj6+03RUanjZDU09NVI+5ULoU1eOpuLVsjPnkTt4Y6aT189b52ot20qDygjcX9/WSMRsqO2nqie8q4kp54fk3n+Opc+XW9340tRWhG6PIz3udflce+p6I/I6IlIlI/upHJG/cNEASkXeLSBNwWEQawz7agaZo9Fztzv6KEZ55TfvFx5XF47z01pM881g7OZlznvYlIEGOlnfR1F2tF0ClXBSQIK+8vYlv/rzBaj9MbUUo77Cbkz1VUT9+XulU1I+p4s5bgffjLO0/Hvp4PJI3bpWD9BXgbuBDwJ+GfX3KGDO6/X6qaLv2UA/ZGQv84kQtR/f387ynn6Mod5rM9EVuH23lX/7rWUy7kDy+3uhRTeEA47MZjM1efke70Qo2HUJXamduuaaDkYkMznTYL8pYV9zPYBTzDnUFm4qy/WtLFIlIRH8UNx1BMsZMGGM6jDGvB7qBJZwEl0wRif7tgtq2kvzpi2UFbriqm96hbP7iky/mfR97BdNzydx+fZtnfTm2g+k1vUNUavte9Rx/jB6Bk3e43bpnSnnoM+EPRCQD+EEkb4woB0lEfhcYAO4NHfgHwPe310flhsricV5260lec+dTvPiZp+nqz7v4XHLSCmNT3lWzbqjY/ga1SqntubpmgLysOX7ZaC8oCR9Bbqjs3NbCjLXXh61WsOkiDrVLPSLySQARycOJY74UyRsjTdL+PeCwMeaoMaYh9HFsR11VUfWVH1/Hdx6oZ3Y+mfuf2E/v8KUtTnIz5xgYzfSoJ4aGyk6a9U5SKVe98jlNfPv+eoLGTmHI8OBoNe+w2YX8I6WiwRjzAWBSRD4F3AN8zBjz2UjeG2kl7QvAxA77F3MSE1ZYXgngh6XAJ9vKONVuSAgECQQMxjh9Sk9d5J5fHeZC2IhStKyXf1RdMMTsYgpD0zkQ0foApfwlKXGFpWV/1+MpyZ/k2kO9/N+vPNtK+2vP/Y3yDjeio8vKKyLyqrCHjwIfCP3fiMirjDHf3OoYkQZIbcB9IvIDLq+k/U/b6G/MeOmtpyjMneE/vu2PDSyNEZZXEi4rgTU7n8wDT+6/GDC5raGig6ZtTK9pgrbyk/TURT7/wa/xur94EyuWt+zYzMtvO8mPf3mYuQW7hSFXHdvG9NpugiPdq9F/ZElI6U+y3Y3NvHTN4yeBpNDXDRC1AKkr9JEc+ohrDXV93P/EAdvd2FR66iLPfdp5vvfgUU/aO1bZyWMddVd8XfdgU3vBkdoB2nvzfR0cpacu8rybzvPuj7xq6xd7pKGig4fOH4na8fQaoaLFGPO23R4jogDJGPM3ACKS5Tw007tteK8SMdQf6OcT//1M2125qKJonCO1gyytBBibTKOjL5/llQAjE+ke9cDQUNnBZx66E3J3d6SaSt0PWXmvoa6PxpYy293Y1AufcYbHT1cyPO5VXuHl1k6vCUEaKjv55H1b1wzeaPRItxhRbhORzwPvM8aMhx7n4eQhvX2r90YUIIlIPfBFQtklIjIMvMUYc3Knnd6rqkvHmJpJYXTS/lx6ZfE4b3jBk+RkzXG6vYTkpGUSq4Jcf1UPvzhRy8ON0d+FfL38o4rcEVaCCbTl+ndTT6U201DXxxd+cKPtbmwoIRDkFbc187efWW9TAzuqCoaZWUhleDpn09dFK+/ozvSWqBxHxZ1jq8ERgDFmTEQi2lU50im2u4A/MMb8HEBEbgf+A7hlW92MAQ11fTS1+uNO80W3nGFgNJN/+/otpKUskRAIkp2xwI1XX+AdL/8Vn//BDZxsc7+vTh5CNX5IWldqu1KSl9hfPsrpdvtFFzfyrGvbGRjN4vyFIttducjJO9RVq8r3AiKSZ4wZAwhtMxJR7BNpgJSxGhwBGGPuCxVbijvH6vp4pNkfF4WczDlOtZcwM5fCzFwKAAOjcP5CEWWFU9SWj3kSIDVUOgnaSu1FR2oGae0pYGEp0suh9155exNfu/daa+2vN3J8rLKTRzsObvo+XbWmfOBjwMMi8vXQ41cDfx/JGyNexSYiH8CZZgN4E9C+yetjlJN/dJdPVq/9173X8gdveICnHemmubWUkYl05hcTSUwIUpg7wz2/OuRBLwzHKjv5dFfkexevt4JNh8+VLfV1fTT5OP+osnic4rxpHm32U62hsLzDDWw3OIo0QVvzFNV2GGO+ICKPA3fgTHO8yhhzKpL3RhogvR34G+AboQYeAH5z+13d2yqLJ1hcSmBozE6S5FoXBvL4q39/ATce6aasYJK6yhHSUxcpL5rgGz87xsm26C4JWe8usiR7nEAgyIXpwiue0xVsai9oqOvjvyyOzmzl2de38eBT+60VhlxPRe4IyysJDEzm2u6KUusSkWxjzGRoSq0fZ2/Z1efyI9lPNtIA6QCwD6fydiLwXJxoLK6qaR/z4UqXqdlUfv54HYkJKyQnrbCyEvB0quBYZUeoerbmH6m9JylxmYP7hjnV5t/8o9uua+VfvnartfY3ml5r7Klho/M+ktEjXcGmXPYV4NeA4zh1j1ZJ6PH+rQ4Q6V/SLwN/BDQDwe31MXY01PXx5Dl/rtRaXklwikV67FhlJ4/PejGVp1T0Ha4eoqs/zzeFF9eqLhslPXWJ0x3+CuAaKjs2LBCpeUfKD4wxvxb6/46Xc0c6ZjtkjPmeMabdGNO5+rHTRvcm46xg89kIklfWu4sE50L51NCWgfimtEqusuWYz8/p265r87Qi/lrrn/dO3qGuYFN7hYhUiMgtIvLs1Y9I3hfpCNIHReTTwE+5fKuRLUt1x4qywkkA+oYj23MoHhRlTpCWtEj71JV3tzp8rvaChro+vn1/ve1ubMDw7Otb+YcvPMd2Ry5TmjNGIBCkZ7zgiueiNXqkWxGpaBGRjwCvBU5xaUMug5NLvalIA6S3AVfh7GOyOsUW0V4msaKhrj90p6m5NqvqKzs5Mbaf7fxMwi98eaVTLvRKqcgkJqxwuHqI5lZ/riA4UDlCQsBwrss/tY8AGipWR48uP+93ExzpIg7lolcAh40xC1u9cK1IA6RrjDEN2z34RkQkF/g0UI8TaL3dGPPLaB3fDQ0H/D0Ub8Oxyg6eGt56ek0vfsqPDu4bpnc4+2INMb95dmh6zdZN2UbT6s70Wo23nVFq59pwBne2HSBFmoP0iIhEb0dC+BfgR8aYq4BrgNNRPLYrjtX10eTTO023bZh/VNHJk+vkH21neu2aot4d90up3Wio66O5xa/ntOG261tDAZK/NFR20NRzef7RdkePIrlG6Aiz2g0R+VcR+TgwCzwlIv8uIh9f/YjkGJGOID0LeKuItONEYYKzae22l/mLSDbwbEJ1lIwxi8Dido/jpeK8KZKTVrgwkGu7K76RnzFFTuYsbRM6qqb2poa6Pn708FW2u7GuQ1VDLK8EaO2+Ms/HptW8w86RS9N+umpN+dTjof8fB7675jlDBCINkF4YaY8isB8YAj4rItfgdP59xpiZKLYRVQ11faE8Bc0/WnV9VSuNw7UEIx6EVMo/AoEgR2oH+Mcv+isBetVt17fxwBMH8NP0WnryPO9+zt2h5f16LVT+Zoz5PICIvM8Y8y/hz4nI+yI5RkR/3cKX9kdhmX8icD3wSWPMdcAM8KdrXyQi7xSRx0Xk8UUzv8OmoqOhrt9X02v7K0Z4z2setNqHm2rP84u+K2dddfWa2oifzukDFSMMj2cwOZNqtR/rCUiQ265v5b4nDtjuymVuOXCGzJR5/vWnL7n4NTdGj8IXcugUvIqCt67ztd+M5I02bv+7gW5jzK9Cj7+OEzBdxhhzlzHmRmPMjcli9yLmtwTtZ17T7llhu43qoNRXd/LY4OYbVSoVzlfntA+r4q9qqOtjfDqNrv48K+1vXPOskwfPH2Fy3gmKdhoc6U2U8oKIvF5EvgfUish3wz5+DoxEcgzPt682xvSLyAUROWyMOYuzbUlEG8fZkJ89Q1bGAh19+ba7ctEtxzr4+H/Z23qgMm+EpZVE+md3/jPRBExl07G6Pn72eJ3tbqzrjhtb+LkP+3assoNvPRH9jbp1latyycNAH1AIfCzs61NAYyQH8DxACnkP8GURScZZgvc2S/3Y0rFQ/pGtSrZrlRVOkJMxz5mOYmt9aIhweT9cfvHT4m/KDwIS5OiBfqv7m20kKXGZW4518oUP32i7K5cpyJgkI2X+YnK2JmYrvwulAXUCz9jpMawESMaYpwB/XQE2UH+xQKQ/PPNYB79sqrYasDVUdPLo8JWrf3ToXO0F1WVjTEylMTaVbrsrV7jp6AVae/IZmbATgGw2vdbcU43ZZVaGXiPUXqJLkLbgt/3XnnGsk4cbazxpa+P8o65d77+mlC3HfJx/5OfptdW913T0SMULDZA2kZM5R0H2LG09/sg/KsqbprJ4nBPny631oTRnjAQx9Mz4qz6LUpG6VLbDXzLTFrj2UA8Pndjx5uO7stHoEYS2F+nZ3ea0OnqkbBCRO0RkR8PFGiBtoqGuj1PtJQSNP35Mt9/QwkNP1bK8Yu9Cc6yiM5R/5I+cLKW2x1Bf1+/LEaRnXdvOE2crfbf1SW76NPkZU7QNlerokdqLfhOnkvYvReQfROSlIhLRElF//OX3qYYDfrqQGp57Yws/e9zu0vqGyo5dby+ilC1VpePMzScxPJ5puytXeM6NLfz8cTu1jzYbPaqv6ORkb9WubhR3c324Nffcjt+rlDHmLcaYQ8Cv45QZ+jecYtVb0gBpE37KP6otHyU1ZYlT7SVW+9FQ2RnxCjal/MZP53S4wtxpastHeexUle2uXOFYRSeN3TU6eqT2JBF5k4j8O07NxTuBTwARLWG1tczf9zLT5ykpmKLlQqHtrgDw3Kc5yZterV5b746yKHOC1JQlOqfslRhQajcaDvRx/Eyl7W5c4fbrW/nFiRqWlr0fid1s9AicUeN//snLYIe1aXV0WVn2z0Ar8Cng58aYjkjfqCNIG6g/0M+ZjmJWgvZ/RAEJcvsNLfz8uN3VLZfqH2n+kdqLDMd8OoL0HJ+uXstKnaUke5yWQW9+ZlorTUWbMaYQeDuQCvy9iDwqIl+M5L32//r7VMMB/9Q/aqjrY2wq3drWA6uObTC9ttEdohaJVH5SXjTJSjBA/0iW7a5cprpslOyMBZpavb/ebDV6VF/Ryem+fUxWZu/o+FuNHmkVbeU2EckGqoBqoAbIAYKRvFcDpA34KVfhjqe18LPHvLu73OiiWV/RGZX6R7rNiLLh0uiRv0ZA77ixhZ8fP+Cbav3hpufTuLvpBtvdUGo3HgJeirO9yGuNMYeNMettYHsFzUFaR3rqIvtKxjnXVWS7KyQnLXPLsQ4+//2nWe1HfsYUOZmztE3qLZ/am/y4QW1AgtzxtBb+8pMv9LztrUaPAJp6apxPdpA7rrlHyg+MMccARCQLMNt5r44grePo/n7OdRVZSZhc6+n1nZzrKmJ00u62CA0VnZwYrt31VgObqansc+3YKt4ZGg74r0DkNYd6GZ9Ko9NHm2Gv5YfVa3emt9jugtqjRKReRJ4EmoFTInJcROojea8GSOuo91H+0XNv9Mf02kYb1OpdotoLSvKnSUwM0j2YY7srl3neTef5ya+8r20WyejRbuh1QfnIXcAfGGOqjTFVwB+GvrYlDZDW4Ze9mrIz5qk/0O/Z3mubOVbZyVNDdorYKbVbDT7MP0pPXeSmo13c94R/zys/jB4ptUsZxpifrz4wxtwHRPSLrQHSGinJS9SUj3Kmw36tn1uva+Px0/uYW9hhAZJt2uiuMidthvysKc6PR74HnK5OUX7ip0UXq551bTuNLWVMTKd52q6OHik/E5EXishZEWkRkT9d5/kcEfmeiJwQkZMi8rYtDtkmIh8QkZrQx18C7ZH0RQOkNY7UDtDaXcDikv389Ts8nl7bSDAofOj4awjqr4vao5wAyV9R+503neMnj9rdOkgpPxGRBJytQF4EHAFeLyJH1rzsfwOnjDHXALcDHxORzUYR3g4UAd8EvhX6fKugCtBVbFfwS/2j0oJJKoomfFH1d2ohnQd6G674ut4pqr2gMHeajNRFugbs1hELV5I/SVXpOI+e9HZrke2MHu1kek2vCWqXbgJajDFtACLyNeDlwKmw1xggS0QEyARGgeWNDmiMGQPeu5POaIC0RkNdH1+95zrb3eCOG1u4/4n9nlXydnvYXSlb6g/009xa5qs6Q3fedJ77j+9neSV2AgoNjlQECkXk8bDHdxljwhOmK4ALYY+7gaevOcYngO8CvUAWTm2jDQs/isgh4I9wikRejHmMMXds1VkNkMIkJy1Tt2+YU212N4QFw3NubOFjX77Ncj8c272TXJt/pFW0lU1+WXRxieG5N53nQ599rretungTtJPgSPMU97bAEqT3b/ttw8aYGzd5fr27mLW1i14APAXcARwA7hWRB40xkxsc839w9mH7NLCync5qgBTmqupBOvrymV9MstqPg/uGSQgYzxLFbY8eaY0T5aaGuj6+/9DaNAZ7ju7vZ2kpgfM+2Qh7PTZWr0VyI6W10mJeN7Av7HElzkhRuLcBHzbGGKBFRNqBq4BHNzjmsjHmkzvpjGbdhmmo66PZB4mcdzythZ89XoefliSvtdPhdN1mRHkpL2uW3Kw5Onr9k3/0vKef595HD+Hn83s7dGpNRdFjwEERqQ0lXr8OZzotXBfwXAARKQEOA22bHPN7IvI7IlImIvmrH5F0RgOkMH4oEBkIBLnt+tZQgKSU2o36A/2cbCslaPxxqUtJWuaZxzo8X5269SjxpVmM7YweaXCkoskYswz8LvBj4DTw38aYkyLyLhF5V+hlfwvcIiJNwE+BPzHGDG9y2LcC7wceBo6HPh7f5PUX6RRbSGLCCoerh2huszuCdN3hHgZHM+kd8qbib7Sn17aTV3BN0dqRU6Wiy2/1j55xrIOzXUWMTvqtAONGqR8bj3JpcKTcYIz5IfDDNV/7VNjnvcDzt3G82p32xR+3VT5wqGqInqEcZue9Kcq4kTtubPHV6JFW0lV7md8CpDstbC2y1U1QYmCZ66pa2V/YT3nOCNnJM6FnYmMKUMU3EXl1aKNaROQvReSbIhLRUnUdQQrxQyG51OQlnn60i7u+dbNLLVx+R7jT0SO9c1R7QXbGPMV507R0F9juCgD52TMcrhri//v082x35aL8jEne+PQHKM8dJSt1ljGymFpMp3OqmJ91X0PH1PorevUaoPaQDxhj/kdEnoWzAu6jOKva1pYPuIIGSCENdf384KGrrfbhGcc6OdVe4uLWA3pHqOLH0f39nO4oIehRLbGt3PG0Fh46UeOLKv2rnll3hpz0Gf7sm28BIOXgCofzeri9ool31f+Qjz75KobnL5/u1+BI7TGrS/tfAnzSGPMdEfnrSN7ojyuHZYFAkKtrBmhutTuCdMuxDh54cr8rx05PXaSucpjivCmK86ZITY5+baKd1DW5Nfdc1PuhFPhtes3wvJvO8ZNHD3nb6hajxEkJy0zPp5KePM98dSqjC9n8sv9qPnT8NXROFfGqAw971FOlXNMjIv8OvAb4oYikEGHs459bGYvqKocZHM1iajbVWh8CEuTag7188uvPiPqxD+4b4s6bznH0wAAAw+MZTEoerUP9PHDuKKMzWeu+T/OP1F52rK6Pf/v6M213A3BqmyUlrXDSehHay/38TANvePoDvObGX/Dw/FEG53IwQIIYarIH+cmFay97vY4eqT3oNcALgY8aY8ZFpAxnVduWNEBitdKu3dGjA5UjjE6mubK65aW3nqJ/NIvf/YdXAVBZPM7hG5d4Zt1pagoG+dT9L2B+KSWiY233AqlVtJUNGWkLlBdNcr7LH8UY77zpHD999CBeTnNHkmM4NpvF1x69lRfWP8FrDz6AAQbncilInaR7upCH++ymHSi1W8aYWZyNalcf9wERVRzVAAmor+sPXbzsue5wD0+dc6eitTEwO5+EiMEYoXswlwunK/jJ6Wv5/17+ZZ5ee577z9W70rZSNhytHeBsZ5Ev9jpLTFjhthvaeN9HX267K+samcnmrr6XQJ+hKmuIwtRJOqeKGHEx90i3GVF7QdznIAUkyNH9/TRZzj+67nAPT551J0D6wS+OcLR2gJfdepKD+4YoOpZBec4I+/KGyM+YpmOkaNdtRHLB0yrayisNdX00tfoj/+imo1109ecyMJptuysbMKyucO2aKuaJoTqmFtNJkG1tW7UrOtKs/CjuR5Bys+ZZXk5gfCrdYi8Mh6qGXMtPONdVxFfvuY4X3HyGG67uZj7pHKMzmZRkT/Cr9kN0jvgrL0Kp3aosmeBej+sNbeTp9V088MQBT9uMrISHISCG6X0ZrE79BQgSJMDTS88yMpfNqbEqV/uplJ/FfYAEzhSUTVnpCxgjriaJt/UU8MlvPJP01EUqr00iPWWBloEyphbWDww1QVvtdUHjj7IWV9cM8u37/DiFLQSNYC5OJBhEDBhIkhX6Zv2zf51SNmiA5ANlhVP0j6y/kix6nCH0mbJazjqL2UhJXEQIhl0glVLRlJk+T0HuDJ19/go2ynNHePftd9M6WMbxpUOcHK1iaimdFePkGZVnjPCznmss91IpuzRA8oGSgknXAiQRg2Auu5sOSJCgCfDMutOcHyznwujuc5CUUlc6WDlCW3eBp5vlRjK9dsuBMxRmTnK6bx+vPfgAealTLCwnc2a8EmOE64pa+dK5OzzorSOlP0nzkJTvaIDkA2UFU/SPuJPAaYxgwpYWC0HCd+4envJr4qhSe19N+ShtPfm2u3GFxMAKPz/bwH8/diszfenkpUxzIKeP0vQxfuvIPdx7IaKtqpSKaRog+UBpwRRtPdHfL6qyeJxX3N5Ma3cBZzqKaU+pxxC4mHOVlz7DXIT1j5RS21dbPsqpdv8tgvjaY88mKWGZmap0QBhbyOLxQWcU+/aKJk4MX74BuhaIVPFIAyQfKC2Y4heNNVE/7rOva+PaQz0ExPD8m8+RkvEQk3PpnO7bR1bqHPuL+vnGE7dEvV2llKO2YpQfPnyV7W6sa2klkfUKV/7X+VtpHKm98g1KxRkNkHygtGCK/uHo5yClpSzxo4ev4us/u4bkpGXyj2axv6if4qwJXnLscb574qZtHU/vIpWKXCAQZF/JGB293k2xRba8f3OPDR6OQk+U2vs0QLIsEAhSmDfN4Fj0A6TPff9ppCQvI2JYXEqkbyKfvgnnYn1T7XlO91ZGvU2llKO8cJLRiQzmF5Nsd0UptQO6vtuyotwZJqbSWFqO/ujMSjDA7Hyyk6i95s7yW0/eTFNPddTb3MxYv9ulDJTyj9qKEdp7/bW8XykVOR1BsqykwIsaSFd6tP3Qhs9pkUildq+2bIz23ugvvtjIdqfX9DxXanM6gmRZmYs1kJRS9tRWjNLuYf6RUiq6NECyrLRgij6XaiCtikbiplJqe2rLRzRAUmoP0wDJstKCKQZ0BEmpmJKeukhu5rwrq1O3kpc+xXuf+z3P21Uq1miAZFlp4RR9Fi6iSin3VJeN0dmf59kWI+GjxA2VneRnTHnSrlKxTAMky0rz7SRpb0QTN5XaPZvTaw0VnTRvsULV9nme3m+1eaUiogGSRanJS6SnLjI2le5aG5p/pJT3asvtJWgfq+ygsbvGSttKxRINkCwqKZhiYDQLY64s96+U2ru8DJDCb4KyU2coypqkZbA0asfXCvoqXmmAZFGZBzWQqgsG+fXrH3a1jdnoXYuVigGG2vJRT7cYWVVf0cWp3n0EjQY1Su2WBkgWlRS4n6B9Y3ULZbmjrrahlLqkOG+a+cUkJmdSPW/7WGUHjR5XyFcqVmmAZFFZwSQDo+4FSKa2gobKDpoizEewnbipVCyosTS9Bs4KtuZufydoK7VXaIBkkbPE370ikUKQ+oouGre4YCqloqe2fJT2Hu+n1zJS5ijPHeXcQLnnbSsVizRAssjtJf61hYOMz2YwNuufMgJKxTpbK9jqy7s421/BclC32FQqGjRAssY4VbRdmmJbnV7bqh5KpHQli1KRsbUHW0Nlpy7vVyqKNECyJDdrjvmlRGbnk11r41hlp06vKeWhpMRlSvOn6B7Mdb2ttflHTv0jPd+VihYdi7WkzPU92Az1FZ186r4XRvRqTdxUaveqSsfpHc5madnbEde0pAWq8oc42795YVg9z1W0BJYgs3fFdjdcpSNIlri9B1tV/hBzS8kMTee41oZS6nK26h+9qOE4Z/orWVpJ8rxtpWKVBkiWlOa7t8Tf1FZwrLKTJh1uV8pTNWXe5B+FT6+9qOFxXnHdr/i/977M9XaViicaIFni9hL/7dQ/UkpFh9cJ2s8/8iRvfPoD/OnX38LAZF7Uj6+LM1Q80wDJklJXtxkxzooWrairlKe8XOL/3KtP8JZbfsaffP0t9E4UeNKmUvFEAyRL3AqQTG0F5bmjBIMB+iciu6PUxE2ldi8nc46kxBWGx909n0xtBbcfbuK3nnUvf/bNt9AzXhjR+/Q8V2p7NECyIDFhhbzsWYbGMl05/qXlvuLK8aPpwfFDtrugVFRcGj1y97y79eBJ3nnbj/mzb76ZC6NFrralVDyzFiCJSIKIPCki37fVB1uK8qYZnUhnJejOj7+hspMmnV5TylNerGB7RkMHv/OcH/KX33wTnSMlrralVLyzOYL0PuC0xfatKXM1QdtwrEITtJXymtv5Rzcd7eS9r32ID3z7jbQNl27rvbEyvdbRXWa7CyqOWAmQRKQSeAnwaRvt21aa784WI6a2gpLscRITVuge06RNpbxU42KAdMPVF/iDNzzAB7//RloGdTNapbxgq5L2PwN/DGwYJYjIO4F3AqQG3MnVsaUgd8a1RM79Rf2cHyhnL+QfqfgSy+c0QHnhJD2D7hRm/b3XP8hHPn8HZ5cqXTm+UupKno8gicivAYPGmOObvc4Yc5cx5kZjzI3JkupR77whQNC4E8AExLC0orVLlP/E8jkNIGJcyytMDARp74t+nSOl1MZsTLE9E3iZiHQAXwPuEJEvWeiHNUEjCMZ2N5RSUWSMEBA9r5WKFZ4HSMaYPzPGVBpjaoDXAT8zxrzJ637YJjoDplRMMQAaICkVM7QOkgXGOMPxSqkYYkQz/5SKIbaStAEwxtwH3GezDzYYdIpNqVgTNDoyrFQs0REkG+JoBCmlP8l2F5TyhEHi5rxWKh5ogGSBWyvYbEnvt90DpXzA5RsfU+V9kcTM3hXP21TKLzRAssAYCAT0TvPEkBa8U7EjqDlIu6KjzcpvNECyQi+jSsUczUFSKqZogGSBG6vYTG1FVI+nlNoezUFSKrZogGSBQceQlIo1Wr5DqdiiAZIFJig6FB/mJ7N1trug1K6ZGFt8oVS80wDJAh2KVyr2GINuNeISvYlSNmiAZIEOxSsVe5wbH9u9UEpFiwZISikVDebif1QEtH6a8jsNkCwwJvbuNPVip+JdMAbPa6XimQZIFjgF5fROU6lYYojNqXOtpq3ilQZINsRxDtJYf5btLijlDjdHkBL0Uq2U1/Sss8C507TdC6VUNAUNOjKsVAzRAMmCWMxBUiru6XmtVEzRAMkavdNUKpbEag6SUvFKAyQL9uIIkiZqKrW5vXheK6U2pgGSBdHOVdCNapWyz2gOklIxRQMkG/ROU6mYoyNISsUWDZAs0FwFpWKPntdK7Z6IvFBEzopIi4j86Save5qIrIjIb7jVFw2QLIjVO83dVtPu6C6LTkeUssCYGDyplfKQiCQA/wa8CDgCvF5Ejmzwuo8AP3azPxogWaK5CkrFFmMgENDzOtoeHD9kuwvKOzcBLcaYNmPMIvA14OXrvO49wDeAQTc7owGSBUEjEEc3myn9Sba7oJTrDOLKae2HRRi6ilV5pAK4EPa4O/S1i0SkAngl8Cm3O5PodgPqSsZAQHMVlIotBtDzeldS+pNYKF2y3Q0VgYTFFTK6Zrb7tkIReTzs8V3GmLvCHq93j7H2pPpn4E+MMSvicq6KBkg2aK6CUjHH2YRaKbWJYWPMjZs83w3sC3tcCfSuec2NwNdCwVEh8GIRWTbGfDuaHQUNkKzQ1S5KxaA43oRaqSh5DDgoIrVAD/A64A3hLzDG1K5+LiKfA77vRnAEGiBZYYxuVqtUrDHE5upUpbxijFkWkd/FWZ2WAPynMeakiLwr9LzreUfhNECywOhQvFIxx+gIklK7Zoz5IfDDNV9bNzAyxvymm33RVWwWOHeaeiFVKpbEan0zpeKVBkgWBIPiar0UmyvkdlssUqm9KhgUAhJ059gISYHYW2qv1wvlZxogWTA5k0J2xrwrx+6byGNf/rArx1ZKbWxyNpWcTHfO6/ahEupK1i7mUUq5SQMkC8an0sjNmnPl2B3DJeSmz5CXPuXK8ZVS6xudSCMv253zuqm7moaKTleOHSktFqnijQZIFoxPpZHnUoAUNAGae6poqLR7MVUq3oxNpZOfPevKsRt7ajim57RSntIAyYKJmVQy0xcIBNzJV2jusX+3uZmx/izbXVAq6kYn3bvxOT9QTmXeMOnJ7kzhKaWupAGSBcFggOnZFHJcykNq7K7RESSlPDY26d4I0tJKImf7K6iv6HLl+EqpK2mAZMmYi3lILYOlFGdNkJ267X1yNhVpDoKuTFHxaGzKvRwkcKbZbI8Max6SiicaIFky7uLFNGgSONW7T+82lfLQ6EQ6eVnujCBBKFG7ssO14/vRiaFy211QcUwDJEvGXEzUBmjsqeZYnF1MlbJpbCqN3Ow5rtx8PDrO9FVSUzBIatLCtt+7g13XN5TZu6IjSSouaIBkiZtL/QGau6up93GitlKxZmk5kYXFRLLStx/ARGJxJYnWoTKOlF1w5fjbpYGSinUaIFni9gjSuYFyKvJGyUhxrw2l1OXcTNQGaOyu9t0CDA2SVKzSAMmS8cl0cjLdC16Wg6FVL+Vb5yFFc/hdqXjmRqK2tPdc/Lyp25/1kHQ0ScUiDZAsieaFNPwCGs7mcn9dyabi0dhkuqsr2U727uNAUR/JCUuutbEbGiSpWKIBkiXj06mu5iCBs+rFL4naKf1JtruglOucYpHuTbEtLCfTMVLM1WXdrrWxWxokqVihAZIlbm43supMfwVV+UOk7WDVi1Jq+0Yn08l3cQQJnGm2eh9Os0WL3kwpv9AAyZLxqTRyMucQcWdJMMDSShLnB8s5Uu6PVS9KxbqxyTTyXEzSBidR+1hFx7bf52WuoY4iqVigAZIlyysJzM0nu7YkeFW0p9n0wqfUxtzcsHbVyd4qDpf2kJSw7Go7SsU7DZAscpb6u323qfuyKeWVMRc3rF01u5hK91ghh0rWX5zhF3ozpfY6DZAscrtYJMDpvkr2F/aTkrjoajtKKScHye0pNghNs+mNj1Ku0gDJIreLRYKz6qV9uISrfLzqRalYMTmTSnrqEokJ7o6eNHXX7IlK+ZGMImlJEOVXGiBZNH5x7yZ3Nfq0uJxSscYYYcKDEh7NPVVcXXaBhEDsTmON9WfZ7oKKcxogWTQ2lUZu5rzr7TR1V9OwxaoXN1a46J2hikdjU+mujwxPLaQzMJlLXXGfq+1Eg+Yiqb1KAySLxj1I0gY41bePQyW9JPm0+q5SsWRsMo38HPfPa2fbkY5tvUe3FVIqchogWTTmQZI2OKteukaLOFza63pbkdLhcxWrvFjJBtDYU03DHshDAh1FUnuTBkgWRfNCutF+bKsimWZTSu2eU03bixGkao6WdxGQoOttKRWPNECyaGLamxEkgMae6CVq692gUhsbdWHD2vVugCbmMhmdyWJ/kSb7KeUGDZAscqbY5gH3thtZdbKniqvKumN61YtSfuBFAdhVTTrNppRrNECyaHEpkaWVABlp7hdxnF5Io288j0Ml/slDUioWjbkwgrQRrZSvlHs0QLJs3KOETnCm2fbK3aZSe9WoBxvWrmrqrqa+ohNhb+Qh6SiS2ks0QLLMi+1GVjV1V9MQxY1rlVJXGruYpO3+1PnITDYzC6lUFwy53pZS8UYDJMu82G5kVXNPNUfLLxAQvYtTyi3zi0kEgwHSU72pO9a4zXpItmsh6SiS2is0QLLMq1pIABNzGQxPZ3OgeP1VL25fOFP6k1w9vlJ+4ZTw8G6aTfOQlIo+zwMkEdknIj8XkdMiclJE3ud1H/zEyyk2cHYB1zwkpdw1NpXmbaJ2RSdeTOkpFU8SLbS5DPyhMeYJEckCjovIvcaYUxb6Yt3YVBp1lSOetdfUXcNzrmrim0/c4lmbSsUbZyWbNyNIg1O5LK4ksi9vmAtjRZ60qRQLS1sWKN7rPB9BMsb0GWOeCH0+BZwGKrzuh1/YGEHy06qXE0PltrugVNSNTqaR7+F5HWvTbDodr/zAag6SiNQA1wG/stkPm8amvKuZAjA2m8X4bAa1RQO7Oo4mWiq/SxB7U05jU+mebFi7aruJ2kqprVkLkEQkE/gG8HvGmMl1nn+niDwuIo8vmnnvO+iR3qFs9hWPE438gUiHO5+6UMt1+9p33Z5S2+HlOd3Vn0ttxairbWzVfnXZmGftXQqQNA9JqWixEiCJSBJOcPRlY8w313uNMeYuY8yNxpgbkyXV2w56aGI6jYWlRIryvFt626TVd5UFXp7Tza2l1B/oc7WNzbRcKOTgvuGoHnOzG6C+iTyCRijPiSwotL3UX6m9wMYqNgE+A5w2xvyT1+37UXtvPvsrvEvU9lseklLRdrKtlENVwyQl2pkKHhzLJClxJVQw0gtCc8/ezUNK1/12lQ/ZGEF6JvBm4A4ReSr08WIL/fCN9p58asu9mw64mIdUOOh6W3rhUzbMzifTPZjDoSpbFaaFlguFHKiM7ijSZjQPSanosrGK7SFjjBhjjhljrg19/NDrfvhJW2+BpwEShHYBX+diup2hd03UVn7W1FJGQ529abbzLkyzbSbWVrIpZZtW0vaB9h5vp9jAuZges3wxHevPstq+im1NraVWA6SW7gJPR5AujBWSnLBMcdZ4RK/XPCSlNqcBkg90D+ZQnDdNStKyZ202dddQr9V3VQxrbi3lqppBEgJ2cu1aLhRSty+6Nz6br1QVmnqq98Q0m44+q71AAyQfWF5JoHswh6rS3S8LjnSp/9B0DnNLyVTl6y7gKjZNz6YyMJJFnYfTXOH6hrPJSF0kO8O7MiXxMM3W0V1muwsqTmiA5BNer2QDZxTJ9jSbUm6ym4cktPYUeBqgaaK2UtGjAZJPtNtI1O5eP1F7O3SoXPlZY0sZx2zmIV0opM7DPKTOkSIyUuYpyLii9u66NA9JqY1pgOQTbT35nlf+beypXncXcK8vmg+OH/K0PRU/mltLOVI7QEAs5SF1e7uSzRDY0/WQlPITDZB8or03n/3lo3iZNN0/kUfQBCjPtbclg1JumphOY2Qynf2Wth0531UY9Sm2rfIMnRWqHVFtU6l4pAGST4xPpbO8EqAw18vRG6FRL6YqxtnMQ+oZyiE7c97bRO2LI8NKqd3QAMlH2nqjU1E70pVssFowcncX0+3kIaX0J+2qLaW2y2aAZIyE9mXzbrVo21Ap+RlT5KRNR/R6zUNSan0aIPmIUzDS60TtGo5VdKD1kFSsamoppf5APyJ2fsfPdRZ5uuVJ0AQ42VuleUhK7ZIGSD7SHqURpO3oHisgMWGFkuxxT9tVyiujkxlMzaRQHYU6YztxrquIQ9Xe1mJq7K7hmE6zKbUrGiD5SFtPAbUe10ICoam7Ru82VUxrarU3zXauy9sRJNh4r0WlVOQ0QPKRCwO5lOZPkezhliOAk6hd0eFpm0p5qcliPaSB0UwSEoIU5EQv12erPMOWwTJKssfJSpmNWptKxRsNkHxkeSWB3qHobDmyHeslam83cVMLRio/W81DspNrJ57nIa0EEzjdt4/6iq6IXq+J2kpdSQMkn2nrjU6i9nZWsnWFqu8WZk7sul2l/GhwLIvFpQT2lYxbad/KNFsUKuUrFc80QPKZ9h7vE7UNAedi6lJSZ3q/K4dValsaW8poOGDnl/H8hUIOVXsbIDX2xNZeiz+ZrbPdBRVnNEDymbbeAs83rQVo6tFEbRXbrCZqdxZxaN8wXk7xnR8opzJvmPRk74pUKhVLNEDymbYe77ccgehsT7CbPCS9O1Ruu1Qw0vs8pLGpdOYXEykrnIraMbeaRl9aSeRsfwVHy/dGHpKONCu/0QDJZ+xsOQLtwyXkps+Qlx69C7hSftI3nAVAWWFkO91Hm408pFibZlPKSxog+VDbxY1rvbNafTfSVS9K7T0SGkWyM1ShidqX05Wvyu80QPKh9p58ai3sPq67gKtY19RSRsMBi3lIHgdIZ/oqqSkYJDVpIaLX255mU8pPNEDyofbeAmrLd5+ovZ2l/uBsTxCeqL2Ti6XeFSo/a7RYMPLchUIOVI4QkKBnbS6uJNE6VMaRsm7P2lQqVmiA5ENtlkaQWgZLKc4aJztV7yJVbOoezCE5aYXiPO9z7WbmUhidTGNf6bin7TZuc5pNR5GUcmiA5EO2thwJmu1V31Vq7xGaW0utLfc/H+U8pEhGiZu6NVFbqZ3QAMmHllcS6BnKsbL7+NppNqViTWOcJWqf7N3HgaI+khOWPG1Xqb1OAySfau+1l6jd4PLGtSn9Sa4eX6nNWE3U7iriUNWwp20uLCfTPlzCVdvIQ9JpNqU0QPKttp4C9kchUXu7zg2UU5E3SkbK3I6PoYnays86+/PIylggP9v7IKClu4Dq0jESE7w9R5rX2ZBaKT8SkReKyFkRaRGRP13neRGRj4eebxSR693qiwZIPhWtRO3trmRbDjrVd+sjrL6r1F5jjJOHZGM128JiEn3D2Z7vt9jYXc2xbY4M6yiS8pqIJAD/BrwIOAK8XkSOrHnZi4CDoY93Ap90qz8aIPlUe6+dLUdgtbic3m2q2HVp2xHvneuK7sa1kdwEneyt4lBpL0kJ3i78UGqbbgJajDFtxphF4GvAy9e85uXAF4zjESBXRMrc6IwGSMBK0H8/hvGpdOaXEsnL2vlU1041dtdwqKQX0LtIFZuaWso46HEu0KqzXUXUlHm7AGN2MZULo4VUFwxu631+Of8fHD9kuwvKGxXAhbDH3aGvbfc1USHGeD9CsV0iMgS4NaRRCNi5Uu6O9ttb2u8rVRtjinbyRj2n16X99pb2e30Rndci8qNQX7YjFZgPe3yXMeausGO+GniBMeYdocdvBm4yxrwn7DU/AD5kjHko9PinwB8bY45vsy9bSoz2Ad2w04twJETkcWPMjW4d3y3ab29pv6NLz+krab+9pf3eHWPMC104bDewL+xxJdC7g9dEhf/mlpRSSikVjx4DDopIrYgkA68DvrvmNd8F3hJazXYzMGGMcSWhcE+MICmllFIqthljlkXkd4EfAwnAfxpjTorIu0LPfwr4IfBioAWYBd7mVn80QIK7tn6JL2m/vaX93jv26ves/faW9tuHjDE/xAmCwr/2qbDPDfC/vejLnkjSVkoppZTykuYgKaWUUkqtoQGSUkoppdQaGiAppZRSSq2hAZJSSiml1BoaICmllFJKraEBklJKKaXUGhogKaWUUkqtoQGSUkoppdQaGiAppZRSSq2hAZJSSiml1BoaICmllFJKraEBklJKKaXUGhogKaWUUkqtoQGSUkoppdQaGiAppZRSSq2hAdIuiEiNiBgRSbTdF+UfInK3iLzVdj+UQ8/T+CIinxORv9vk+WkR2e9lnyIhIn8tIl8KfV4V6meC7X7FMw2Q1GVE5IiIPC4iY6GPn4jIkbDnRUQ+IiIjoY9/EBEJe75GRH4uIrMickZE7lxz/DeISKeIzIjIt0Uk38vvzwvGmBcZYz4fyWtF5D4ReYfbfVKxRURuFpF7RWRURIZE5H9EpCzs+feLSLOITIlIu4i8f837O0RkLvRHeFpE7lnzfMyep8aYTGNMm+1+bMYY0xXq54rtvsQzDZDUWr3AbwD5QCHwXeBrYc+/E3gFcA1wDPg14LfDnv8q8CRQAPwF8HURKQIQkaPAvwNvBkqAWeD/ufetKBWz8oC7gBqgGpgCPhv2vABvCb3uhcDvisjr1hzjpaE/wpnGmOdffKOep0o5jDH6seYD6ADeDzQCM8BncC4Ud+NciH6Cc+GpAQyQGHpfOU5AMQq0AP8rgrZuAn4JjAN9wCeA5LDnnwecASZCz90PvCP03F8DXwp77dr+vA04HepzG/Db2/w5JAL/G5gN+9rDwDvDHv8W8Ejo80PAApAV9vyDwLtCn/8f4Cthzx0AFldfD9wHfAh4NPT9fgfIX/O9vRMniOsD/jDsWH8N/A/wpdD32xTqz58Bg8AF4Pmh174OeHzN9/r7wHc3+VnUhv6NAqHHnwYGw57/EvB7Yd/H6r/RbwIPAR8FxoB24EWh5/4eWAHmgWngE6Gv3wI8FvoZPAbcEtbOfcDfAr8IfZ/3AIW2zxk9T+2dp6FjXA9MbfL8x4F/XfOzu3OD1+7Z8zT0ms8B/wb8INTGr4ADYc8boC70eRrwMaAz9L08BKSFnrsZ53o3DpwAbo/wd/LONd/vl9b8bN4KdAHDwF9s8drV35H7gL8L9Wca+B7OTeiXgUmc60SN7XMy1j50BGljv45z0TsEvBTnovvnOKMqAeC967znq0A3zgX4N4D/IyLP3aKdFZyTvhB4BvBc4HcARKQQ+Abwl6HnW4FnbuN7GMQZ4cnGuQj/XxG5PpI3isg4zh/uf8W5YK46inOxWHUi9LXV59qMMVObPH/xvcaYVpwL76Gw178FeDvOz3AZ58Ie7jnAQeD5wJ+umcJ7KfBFnD+KTwI/xvm3qgD+P5y7YnD+OB4WkYNh730D8BU2YIxpx7kQXRf60q3AtIhcHXr8bJw/iut5OnAW59/wH4DPiIgYY/4CJ4D8XePcxf9uaCrjB6HvuwD4J+AHIlKwpq9vA4qBZOCPNup3HIjr8zTMs4GT6z0RmgK/dZ3nvxyanrtHRK4J+/qePU/DvB74m1AbLTg3I+v5KHADzk1JPvDHQFBEKnDOw78Lff2PgG+sjobv0rOAwzi/Q38Vdg3ZyutwRvUqcILWX+KMGubjBNgfjELfVBgNkDb2r8aYAWNMD84fsV8ZY540xiwA3+LSH0oARGQfzi/+nxhj5o0xT+GMMrx5s0aMMceNMY8YY5aNMR04F4fbQk+/GDhljPm6MWYJ+GegP9JvwBjzA2NMq3HcjzPacGuE780FcoDfxbmIrcrEudNaNQFkhi7Ca59bfT5rg/eufR7gi8aYZmPMDPAB4DVrEhX/xhgzY4xpwrk4vD7suQeNMT82xizj3KUWAR8O/ey+BtSISK4xZhbnrvf1AKEL8FU4F+TN3A/cJiKlocdfDz2uxfnjdmKD93UaY/7DOPkEnwfKcEY61vMS4Lwx5ouh34mv4oxMvDTsNZ81xpwzxswB/w1cu0W/Y1lcn6eh7+kY8Fc4o2nr+Wuca334FNwbuTQ993PgxyKSG3pur5+nAN80xjwaauPLrHOOiEgAJ8h7nzGmxxizYox5OPS78ybgh8aYHxpjgsaYe4HHcf6td+tvjDFzxpgTONeMa7Z6Q8hnQ78nEzg3Aq3GmJ+E/Ryv2/ztars0QNrYQNjnc+s8zlzz+nJgdM3oSSdOtL8hETkkIt8XkX4RmcQZrSkMO+aF1dcaY0z4462IyItE5JFQIuc4zslduMXbLgpd/D4FfEFEikNfnsYJBlZlA9Ohvq19bvX5qQ3eu/Z5uPz76wSS1vR57fPlYY/X/hsNm0tJjnOh/6/+u32FSxftNwDfDl2QN3M/cDvO3foDOMPet4U+HjTGBDd438U/lmFtrP39WVWO832FW/t7FP7Hd3aTY8WDuD5PRaQO54/l+4wxD67z/O/ijPa8JPSHf7WPvwj9kZ41xnwIZxppNSjb6+cpRHaOFAKpOCN+a1UDrxaR8dUPnMC6bJ3XbtdOz9/t/q6rXdIAKXp6gXwRCb/LqgJ6tnjfJ3FGCA4aY7JxpgdWV4X1AftWXxgapdkX9t4ZID3scWnYa1Nwhv0/CpSERoR+GHbsSAVCbaz+ATnJ5Xc813Bp6P4ksH/Nz2Dt8xffG1pqmwKcC3t9+PdXBSzhzNVv9HzvNr6XcPcAhSJyLc4FOJJh+/tx/ojcHvr8IZyplNvYeHptK2bN416ci3O4SH6PVGRi5jwVkWqcPKu/NcZ8cZ3n3w78KfBcY0z3FoczYW3u9fM0UsM4aQQH1nnuAs4oWW7YR4Yx5sNbHHPDf2u192iAFCXGmAs4CXQfEpHU0LD3b+EM724mCye3ZVpErgLeHfbcD4CjIvIqcWq4vJfLT7ingGeLUzMjByfRcVUyzkVtCFgWkRfh5ANsSkSeJyLXiUiCiGTj5MCM4cxxA3wB+AMRqRCRcuAPcZIiMcacC/Xpg6GfwStxVrp9I/TeLwMvFZFbRSQDJ9/gm2vu5t8kTqmB9NDzXzeXL3X9gIikh1bavA34r62+p/WEhqW/Dvwjzhz+vRG85zzOndqbgAeMMZM4d3G/zs4DpAEgvCbLD4FDoWXWiSLyWuAI8P0dHl+FiaHztAL4GfBvxphPrfP8G3FGuZ5n1ixpD/XjmSKSHPoZvB9nNOUXoZfs6fN0G8cOAv8J/JOIlIeuec8IBa1fwvkZvCD09VQRuV1EKrc47FPA60QkSURuxMlxU3uUBkjR9Xqcef1enPyHD4bmrjfzRzhDx1PAfxB2ITHGDAOvBj4MjOAkPf4i7Pl7Q69vBI4T9kc0dDF7L06OyliojUjm7nNxklgncIae64AXGmPmQ8//O84KiiagGeePw7+Hvf91wI2hNj8M/IYxZijUp5PAu3AuwIM4f3R+Z037X8QJuPpxhr/XJtnej5N0+VPgo8aYe9i5rwB3Av8TuhBH4n5gxBjTFfZYuDxPazv+BfgNcWpOfdwYM4KTsPuHOP/mfwz8Wuh3QUVHLJyn78AJrD8ol2oZTYc9/3c4Sf6PhT2/Gkhl4YyIjeGMnL0QZ2XlSKhPsXCeRuqPcK5lj+GsavwIzkrVC8DLcUYKh3BGlN7P1n8zP4AzIjWGkyQezREv5TFxpsvVXiEi9+EsBf207b5E22bfm4jU4CyRT3LhIqlUVOl5quep2vt0BEkppZRSag3XAiQR+U8RGRSR5rCv/aM42080isi3wpaVxjRx9uaaXufjzy3158836M/dNvrjJyJycoOfzRtt9025S8/TvcPmebpBu9MiEnFpBrU+EdknzlZVp0P/xu9b5zUiIh8XkZZQLLHdmmGR98etKTYReTbOctEvGGPqQ197PvAzY8yyiHwEwBjzJ650QCmllFJ7hjj7CZYZY54QZ6XpceAVxphTYa95MfAenHIYTwf+xRjzdDf649oIkjHmAZykt/Cv3RM2L/0IsNWKAKWUUkrFAWNMnzHmidDnUzirp9fWKHs5zsCLMcY8AuRK2EbN0WQzB+ntOAXOlFJKKaUuCiX8X4ezl164Ci4vRNrNFoVedyrRjYNuRUT+Amf/ng1rj4jIO3E2PCSBxBsyEnK96ZzPVRZPMDqVxuxcsudtF+TOADAynrH7g6Uk7f4YQH7GFCIwMu3U/VtJTtjiHY7gOs2v/ZpJunz6OSHpUqHs9MRFADITLhYnJjswf/Hz5ORIdw/Yu44fPz5sjIl4byo9p9eXmb5AVsYCfUNri1d7T8Swv2KUjt48VoIu3D9HeN5npMyTmzZLz3h+9PvgM5Fes7ay3jVtJ+aGuiM6r2+7PcWMjW60ecD6mpqWT+IU51x1lzHmrrWvE5FMnPp5vxeqN3fZ0+sc2pVcIc8DJBF5K06dl+eaTRKgQj+0uwByEovMM3Jf6VEP/e1Nzz1OUuIKn/3eTZ63fe2hHt76ksf5/f/78l0fy9RGJ+B/3dMeIC15kc/+wtkLc6YqsuBtuvzKi9Lsmpq3C6VLlz3OK71UJ++aIqcw8K25l4oL35necvHzmsrHI+rHXiYia7dE2ZSe0+vLz57lU3/2dV7756/AmO0Wuo++D7z2Xh5urOGnjx3c+sXbFOl5n5U6y+ff/i/8xiffQdBEJ4Dws0ivW5tZ75q2Eyc+8QcRnddjo0G++8OId64CoHZf/7wx5sbNXiMiSTjB0ZeNMd9c5yXdXF6pvZKdV2rflKdTbCLyQuBPgJdFuJ+OWqOppZRjdX1W2j7VXkJN+SjpqYu7Ppa0R2fnjBUTICGwvbsYpfxkdDKdyZkUaspGt36xBx5pqubm+m3FvhGL9Lyfmk9nYDKHg8V2rnXKDhER4DPAaWPMP23wsu8CbwmtZrsZmDDGuPKL4uYy/68CvwQOi0i3iPwW8Amcqqz3ishTYZVdVYTOdDhBSkry0tYvjrLFpUTOdBTTYClAW8/ySkLUAqT0iPdfVyq6mlrKfHNePXpqH9cd7iEpcWXrF7uoqbuGhkp3AjXlW88E3gzcEYoRnhKRF4vIu0TkXaHX/BBow6nU/h9cWeU9alybYjPGvH6dL3/GrfbixcJSIm3dBRypGeTJc67kpW3qqXPlXHuol181r91P1Y4VEyBBdARJ7W1NLWU8o6GT7z5Qb7srTEyn0dmXx7G6Xo6f2bf1G1zS1FPNnUdO8PXjz7TWB69kdM1EZZptrzPGPMQWGzWHUnP+txf90Urae1BTq727zSfPVnDtIf9sLB8MBkhMuHSnm9E1E7Vjp/RHKetRqS00tZZRf6Afl3JNt+2XzdXc3NC19Qt3INJptqaeao6WdxHQGyBliQZIe1BTS6m1AKnlQiGFuTPkZe0+hSwaeUjLwYBeQNWeNzSWycJSAvtKxm13BQjPQ7IXsI3PZjI2k0lt4YC1Pqj4pgHSHnSqvYS6fcMkJ3m/F2TQBGhqKeOaQ64sGti2laAmaavY4Kc8pO7BHBaWEjhQOeLK8bczinSsssOVPsSazF67OWOxSAOkPWhuIZnOvjwOVw9Zaf+pc+Vc55NptpVggEQNkFQMaGwp41idX1YKiKur2SCyIKmpu5r6ivhI1I5meoCKDg2Q9qhmi3lIT52r4NpDvURj+H2302wrwStXsemFRu1Fza1l1B/owy95SI+4mIcUqcbQSjZBb4KU9zRA2qMaW0ppOGAnQOrqzyUxMUhZ4dTWL3aZM8Vmb2j5wfFD1tpWsaVvOAuDUFa4tnCwHafaSyjOm6Iwd9q1Nra6QRqZyWZmIZWqAjuj5Sq+aYC0R51sK+Vw9dBlK7i8I6Hl/van2ZZ3mIOk8/XKf8RqIdi1gsEAj53ax9Pr7Y8iHdN6SMoCDZD2qJm5FHqHsjlYNWyl/afOrk6z7d5uptk0SVvFEj8lakNoms3FPCTY+vxv6qmmIU7ykJS/aIC0hzlJnXYupifOl3HNwV5E7OZLbJSkrXlIai9yAiS/JGrD8dOVHNk/QFrK7rcX2qmm7moaKjvwS26Wih8aIO1hza326iENjmUxO59MdemYlfZXrZek7Zax/ixP2lHxq3swh6TEFYrz7Of3gbNi9nR7CTdc3e1qO5uNIg1M5rG0kkhlnjslB/xEb+z8RQOkPay5tYyrawcIWJpieupcedTqIe10mk03q1WxRaze+KzH7eX+qza7BlwaRVKb0dzK6NIAaQ+bnEllcDSTuko7eUgnzpdHLQ9pp2yvYlMq2posTp2v55HmKp525IK1GzEIFYzUPCTlMQ2Q9jibOQsnzpfRcKDP6oVzs1VsOlyt9qJGn+UhDY9nMjSWyZFa97f82GgUyamH1IHmISkvaYC0xzVZHI4fn0pneDyDuihtR7CTabaVYIAE3YtNxZCu/jwy0hYoyPFPgO/FarbN9I7nExBDaY7dnEcVXzRA2uOaW8o4ur/f2oatJ86Xc43FekgrwQCJCRogqdhhTCgPyVIh2PU80lTNMxq82bx2/Rslceoh6TSb8pAGSHvc2FQ641Np1FaMWmn/qXPlXHvQXh7SSjDBWnColFuaLG4ltJ6W7gKSk1aoLJ7wpL31gqTmnvhI1NbUAP/QACkGNLWUUX/ATs5CY0sZV9cORq2i93an2ZwRpI3b3uxis96Kj3T/pH6oOOa3ekggob3ZvBvBWXstaOyupkEraisPaYAUA5pa7a16mZlLoXsgh8PVg1baX9YcJBWD2nvyyc+eJTdr1nZXLnqkqYpneJyHFB4kdY0WkZa0SFGmN6NYe5Uu9Y8eDZBiQFNLKfUH+qxVtX7K4nJ/3WpExaKgCXCyrYQGSyPD62lsKae6bIyczDlP25X2nlCgJM62I3Ewzab8QQOkGDA8nsnMfDJVlqpan4hiwUjY3jSbXwOkju4y211Qe5wzde6fPKSl5QSePFvBTUcuWGlf2nto6q7WjWuVZzRAihFNLWXW7jab20o5uG+YlKRlz9uOZKuR3SQ9pvQnRfzan8zW7bgdpdZy9lr0zwgSOEUjn25xuX/Tr9Kp15VsyiMaIMUIm7uALywm0dpdwJH93l/M/TqCpNRutXQXUlwwRVb6vO2uXPTk2UquOdRrrThsR18+uSnTFIyct9K+V3Qlmz9ogBQjmlpWC0ZaykM6VxHVPKRIp9lWggESdasRFYOCwQBn2outrVBdz+hkOkNjmRyuGrLSvjFCc1so53KH+zcqFSkNkGLEwGgWy8sBz+qUrHXifDnXWKiHtNlWI246MVTueZsq/jRaHBneyPHTldxwdbe19i/dDIYncCsVfRogxQyxWlzuTEcxVaXjpKcuetpu0ARICBh0jyYVi/xXDwmeOFPJ9VfZDJCuLGuiQZJygwZIMcRmovbScgJnOoqjGqBFdtETVoKieUgqJp3rKqKiaMLzG4/NNLeVUFM2RmbagpX2W3sKKMyduaLcgI4mXaK1kKJDA6QYYjsPyd40W8KOi0XqhUT52fJKAue6Cqm3sABiI0vLiZxsK4lqaY/tCAYDnGwr3fBnokGSihYNkGJIz1AOCYEgpQVTVtp/6lz0C0ZGcrHbarsRpfYymytUN/LEmUpusDjN1txauunPJBZGk3Qlm30aIMUUsZrUef5CIcV5055X2l3R7UZUDPNjgHT8YoBkZ7Q60p/JXg+SlF0aIMUYm/uyBYMBmttKORblabatLnIrwQAJCe4Vi1TKpjOdxVSXjZGavGS7Kxd19ecSSDBUFNlZNXuuq4iywikyIsiD0iBJ7ZQGSDGmuaXUat2UxvPeJ4pPzqWTnz7taZtKeWVxKTFUiHXAdlfCCE+dLeeag3ZuxlaCAXqGcqi2tL2Sig8aIMWYzv480lKXKMy1EzA0t7oTIG12F3iyt4p63Z9JxTBnhaq/ptkaW8o4ZilAgtU8pMiuNTqKpHZCA6SYIzS3lFqbZmvpLqC4YIpMD7dHaOqp5pju8K1iWOM6tX9sazxfxrG6XuzlIW2eqL1WvAVJukJ39zRAikHOLuB2ptmCwQBnOoqpd2E6YKMLXGN3NQ0VnWixSBWrTrWXcKByhGQLG0JvZGA0i6WVBGvV+5tby7i6ZmBb+8LFW5CkdifRdgdU9DW2lPHSW09Za9/Jg+rjkeZqT9obmsplfimZffnDXBgt8qRNpby0sJhEe18+V9UM0njeL9vcSGgUqY/uwVzPW5+cSWVwLJO6yhHOdUV+3kt7D6a2wsWeRU9G1wwzVRm2u7GuyWAqP5mt2+a7/FPPKxI6ghSDOvvyyMmcJz971kr7zpYn7pwIm40iRWuaLX1vncMqTjRZnDrfiP08JP+VQFCxQwOkGBQ0AU62lVBvKanzbGcRVaXeLktu6lmdZlMqNvmxHpLtPKTGbeYhrdKpNhUJDZBiVKPFTS6XlhNpuVDI1bXuLEte7+LW1F1DQ+XO8pA0mVHtBSfbSjlUNURSon9+X63nIbWUcXR/P4EdFIrVIEltRQOkGGV7WXBza6mn9ZD6JvIwBspzRj1rc9WD44c8b1PFn9n5ZLoHczlUNWS7K2Eu5SHZMDaVzvhUGjXlO6uHpEGS2owGSDGqtaeAorxpsjO8W24frrm1lHoXL5pXXtgkbBRJqdi03aXtXrCdh7TbqcdYDpJ0dHx3NECKUcFggFPtJdZGkU61l3Bw3zBJid4tS27coh7STrcbSelPuvj5WH/Wjo6hVDTY3GtxI7bzkGxur+QF3SbJHg2QYlhTSxn1lvKQ5haSuTCQy6GqYdfaWHvn19xdrSNIKqY1t5ZyVc0gCduo/eM223lITS2lHD3Qz24CtFgeRVI7pwFSDLO96uVMRzGHqwc9a+/CWCFJCcsUZ4171qZSXpqeTWVgJIu6fe7deGyf3Tyk4fFMZueTdr0vmwZJai0NkGLY+QuFlBdOkhnBjtduONNRzNU17gZIl1/UhGbddkTFOM1DulJTlFbtapCkwmmAFMOWVxI421kUGn723plOb0eQABo1UVvFOD/m3NjOQ2qO4mi5BklqlQZIMc5Z7m8nQOodyiY1ZZn8bO+SDJuiWFFbKT9qainjSO3Ajmr/uMV2HlJjS2loQYrux6iiRwOkGGd31YtwpqOYqzycZuscKSIjZZ6CjElX21TKlonpNEYm09lf4X3Nr43ZzUMaGM1ieSVARVF0AjS/jSLtZiWbLvXfOQ2QYtzqth9pKYvW2j9c7V1hO0OA5h5dzaZiW7PmIa0hUd8D0m9BkvKeBkgxbmk5kfMXCjmy351tP7biRaL2WjrNpmKd7RWq67Gdh9TUEv0RLA2S4psGSHHAjQtHpM52FlO3b5iAh3VbdONaFesaW8qoP9CPiH9ybmznIV1a3Rfdn4kGSfFLA6Q40BS6mNowPZfCyET6rmuUbEfbUCn5GVPkpE171qZSXhqdzGBqJsXT82prdvOQeoZySAgEKcmfstK+ij0aIMWB0+0l7K8YISXJu20/wnmdqB00AU72Vm0rD0kTGdVe09yqeUiXE6d9F3YP0FGk+KQBUhxYWEqkraeAq2vt5CGd7SzmKgv1kI6tM82m+xqpWNFocep8I9bzkFrdy82yHSTptct7GiDFCZt3m16MIK3V1FNNgyZqqxh2aepc85BWub26z3aQtFM6Qr4zGiDFiUaLBSPbe/Mpzp8mPdW7UgMtg2WUZI+TlTLrWZtKeWlwLIvFJXvByPqEk62l1nIeO/vzSEtdojBX8w/V7mmAFCdOtZVwsGqIpETv85BWggFauws4XOVdPaSVYAKn+/ZRX9HlWZtKea2ptdR302wn20s4Ymk6HyQ0iuRegLZXR5HU9mmAFCfmFpLp6s/ztGhjuDMdxRy2UA9pp9Ns6RFcX08Mle/o2EpFix/rIZ1sLeXIfjsjSLC6vZK7PxMNkuKDBkhxpKnF3t2mF4naay9ajT01HNOK2iqGXdpKyD95SJ39eeRkzpOTOWelfT9u5qv2Jg2Q4khTq716SKcvJmp7dyE/P1BOZd4w6cnznrWplJf6hrMBKCv0T+0fY5w9GG1Ns3X0OgFaXpa7+Yc6ihT7NECKI82tpRyuGSTBw6rWq4bHM1gJBjwt4ra0ksjZ/gqOlmsekopVQrOLS9t36lRbCUctbW8UNAFOtpVQ78HPRIOk2KYBUhyZmUuhbzibQx4mS18ioeX+3rat02wq1jW2lLqec7NdJ9vt5iG5VTByPV4GSVoLyVuuBUgi8p8iMigizWFfyxeRe0XkfOj/eW61r9ZncxfwM51F3tdD2kWitlJ7gc29FjdytrOI2vJRK6tmwZtE7b1GayFtn5sjSJ8DXrjma38K/NQYcxD4aeix8pDNfdnOdnifqH2mr5KagkFSkxZ2ddyU/qRdvV8pt1wYyCUleZniPP/kIS0sJnGhP5dDVcNW2m/tKaAob5rsDG/yD3WqLTa5FiAZYx4ARtd8+eXA50Offx54hVvtq/U1tZZxdH8/AQt5SOe6Vu8qvbuTWVxJonWojCNl3Re/5uYw9U9m61w7tlLrk9AWG/amtNZjc5otGAxwqr2Eeh1FUrvgdQ5SiTGmDyD0/2KP2497kzOpDI1lcqBixPO25xeT6B3Oprbc27YbLU2zdXSXed6mik9NFqfON3KqrYSj1gpGrtaI8lfQqPYW3yZpi8g7ReRxEXl80egy7WjqHc6mKM9OKf6O3nyqSsc9bbN3PJ+irElP21RX0nPaPX7MuWnvzaeyZNxa+73D2RR5uOWITrPFHq8DpAERKQMI/X/DhBRjzF3GmBuNMTcmS6pnHYwHxmJNucGxTIo9Ds4MgviokF680nPaPR19+WRnLJCf7Z9VTiMT6RTkzGKriKUxgoiVplWM8DpA+i7w1tDnbwW+43H7yrLBsQzvR680NlIxzhihuc3dPci2a24hGYD01CU7HbBw3usoUmxxc5n/V4FfAodFpFtEfgv4MPA8ETkPPC/0WMWRIQ9GkNa9SOmdpIpxfsxDGplIJz/b3YrWm9O7o3B+X+q/XnmgdV5zu4g8JSInReR+N/uT6NaBjTGv3+Cp57rVpvK/wbFMivK8nQYwGh2pONDYUsYLnnHWdjcuMzqRQUHODN2DuZ63HauhUUbXDDNVGba74ZbPAZ8AvrDekyKSC/w/4IXGmC4RcXWhl2+TtFVsGhrLDE2xeXv50hwkFevaugsoyJ61tknsei7lIdlhIwdJp9l2boPyQOHeAHzTGNMVer2rhfU0QFKemp1PZmUlQGb67go3bocxOsOmYl/QrNb+8U8eks0pNmP0rF+P36fZtnAIyBOR+0TkuIi8xc3GNEBSnnPykLybZtMpNhUvmlpLfbXtyOhkOvlxNoKkNlW4Wuoj9PHObb4/EbgBeAnwAuADInIo6r0Ma0wpTw2OZVCcN01bT4FnbYpsPcWW2bvCdHmCB71Ryh1NLWW897UP2e7GRaMT6RyutrE5tt0cJGnvwdRWWOzB5qJxrZteSeHB8e3GJg8NG2Nu3EWz3cCwMWYGmBGRB4BrgHO7OOaGdARJeW7wYh6SRzT9SMWJ811FlBRMkZnuj0KcI5NOkrYtmnu4sT061fYd4FYRSRSRdODpwGm3GtMASXnO2lL/KBnrz7ria9u/k1Iq+laCAc50FFO/394WH+FGJixOsWkO0pb8FiStVx5IRN4lIu8CMMacBn4ENAKPAp82xmxYEmC3dIpNeW5wLJP9Hu4FZ5CIptiUigXOHmR9PNJcbbsrjF5M0jZYWSphMUby+zTbKj+lFmxSHij8Nf8I/KMH3dERJOW9obFMivO9m2KzubWKUl7zU8HI+cUkVlYCZKQtet62E5LpyR8Jv40k+YUGSMpzNopFrr2RzOjyz55VSkXTua5i9pWMk57qfVCyntFJu7WQbHJrql+vX97QAEl5bmQindzMORICQY9a1FwEFT+WlhM411XEkVr/5CEVWKiFZIwu898OHUW6kgZIynPBYICxyTQKc727C9pJDlK6f+rtKbUtq3lIfjA6kUG+jZVsmqS9bRokXU4DJGXFkIdL/TULQcWbphb/FIy0vd2Ibbr1yN6lAZKyYtCDpf6rdMsBFW/OdJRQUz5KSvKS7a4wMmlnuxG9MVK7pQGSssKLYpHhd266zF/Fk4WlRNq6CzhS4+penhEZtTiCpOe92g0NkJQVXhSLXKWXSBWPGn2Sh2SrWKSfRo51mm1v0gBJWTE4luHpUn//XCqV8kZTqz8CpFGL243oKja1GxogKSu8TNJ2VrPoOJKKL6fbi6nbN0xy0rLVfoxeHEHy9hzUM17tlgZIygpPk7Q9aUUpf5lbSKazL4/D1UNW+7GwlMjCYiJZ6Quet+2nStrRnmbTYpHu0wBJWTEzlwyCZ9V+dahdxSO/1EMatZGH5J/YSO1RGiApS4ShUW9GkfyUrKmUl5paymg44IMAydZ2I3rqq13QAElZMzSe4XqAtDqs7aehdqW8crK9hMPVQyQm2K2QbGO7EYNofKR2RQMkZc3QWCZF+R6MIKFTbCo+zcyl0DuUzcGqYav9GLGw3Yjx4T2RLvffWzRAUtZ4lqitU2wqjjW2lFnfdsRWsUgtFKl2QwMkZY2nS/11ik3FKT8kalvZbkRvjNQuaYCkrPFqBGmj0EiXyap40NxaytW1AwQCQWt9sLndiN/oNNveoQGSsmZwNJMSD3KQIDo5SCn9Sbs/iFIem5pNZXA0k7rKEWt9sLHdiI4Zq93SAElZMzSeQU7WnOsrbJzVLO5cLk8MlbtyXKWiyfY022hois3rnKBYz0HSUXB3aYCkrAkGA4xOpLu/J1tsXyOV2pLtAGlpOZG5hSSyM+Y9a9OPq9hW6TTb3qABkrJqYDSLkvwplxuxN7WglB80tZZydH8/AbGXhzQy4X2itpb3ULuhAZKyamAki9IClwOkbaxmyey1W1BPKTeMT6UzNplOTfmYtT54vd2I0TKRapc0QFJWTUynkuXBsHus5yIotZX23nyqSu0FSDPzyWR4tPfiKg2R1G5ogKSsSk5aZmEx0fV2dD82Fe+CQbvnQHLSCotL7p/r4fx8W6R5SP6nAZKyKiXZ+4umUsp7KR7dDCkVLRogKatSkpaZ14umUjEvJXmZhaUE291QKmIaICmrUpKXWdSLplIxLzlphQUdLVZ7iAZIyioddlcqPqTqua72GA2QlFUpyTrFplQ8SE5a1hEktadogKSssrGyRSnlPZ1Ov5KuZPM3DZCUVU7ipgZISsW6lKQVHS12ge7H5h4NkJRVmpegVDwwJCct62ix2lM0QFJWOStbdNhdqViWlLjC8kqCFmxVe4qG88qqlGQdQVIq1mkNpNgzu5zMiaFy291wlY4gKYuM5iApFQdSklb0RkjtORogKWsSE4IEg0Iw6N9fw/R+2z1Qau9zVrBpgLQeXcnmX/79y6Rink6vKRUftCCs2os0QFLWpOjWA0rFBc1BUnuRBkjKGr1oKhUfUrSKttqDNEBS1qQkLbPoxbC7GPfbUEptSJO01V6kAZKyRvdhUyo+6GpVtRdpgKSs0YumUvHBqaKt0+lqb9EASVmj24woFR90xermdKm/P2mApKzRi6ZS8UFXrKq9SAMkZY3mICkVH/RmyF0ZXTO2uxCTNEBS1vghB0kvLEq5L0VzkNQepAGSskar6yoVH3S0WO1FGiApa1J12F2puJCctKJ7sak9RwMkZY0fptiUUu7T0WK1F2mApKxJSdq7w+5j/VkbPveT2ToPe6KU/+m2Qmov0gBJWRNrK1seHD90xdc6usss9EQpf3GStGPnXFfxQQMkZY1OsSkVH5J1L7YtabFI/9EASVnj5CV4NOw+O+9NO0qpK6TqFJvagzRAUtboKjal4kNyko4Wq73HSoAkIr8vIidFpFlEvioiqTb6oezS2ihKxYdYyzdU8cHzAElEKoD3AjcaY+qBBOB1XvdD2ZeSrPszKRUPdC82tRfZ+o1NBNJEZAlIB3ot9UNZpLVRlIoWQ3bGAiJmw1ckJ6142J/LpSTrViNq7/H8r5MxpkdEPgp0AXPAPcaYe9a+TkTeCbwTIDWQ6W0nY1x66pIP7uYM2ZnzzMyluN5SQMAgrrejNqfntHueXt/FX7ztp8zOJ234GmOE7zxw1MNeOZISV0hJWt60b24IiMFsHC8qtSXP/0qKSB7wcqAWGAf+R0TeZIz5UvjrjDF3AXcB5CQW6a95lCQEghyqHuJsZ5HVfpQW/P/t3Xd0XNd16P/vHvRKAARANKIQYAdASqK6LKtbkm3JznNNnDh2/LwcJ7bT7bzESd7zShw7duK8Xxw5ihM/F8UlclO3VSxZsizJpEQSYAHRe++FqHN+f8yAAkGUATBzz52Z/VkLS5x6t7h4L/Y9Z599xpmf9zA0lhTyY8XHzTMbr7+QbdNzOnQu29PJtx6/nO89ddh2KJfYU9xPa08mc/PO/rqJi9XtTdTW2CjSvg1oNsb0G2PmgB8A11mIIypV7BygdzCNiSm7dfH7y/o407IDHBjZSYhbYGbe2btXpZxUWdFDTYM7m5JWlndT25jn+HHjYxeYm9dpPbV5NhKkNuAaEUkWEQFuBc5YiCMqVVV0U9Pg/MVquf2lvZxpznXkWPHx88yucvc6WZyyqe/MzBu/5Lk3ZJy75LnSou5Nfb9SgUpNmqEge4z69mzboayoylLyFhcXXgmSKSu0HYJaxvEEyRjzMvAg8CpQ44/hfqfjiFZV5d3UNNq/03x9BCn0EuLmmZ5zbgTptuQGx46l1MHyHupac5hfcF8y4PF42V/Wy6km52/KfFNs7vs7UeHDSh8kY8xfG2P2GWMqjTG/aYyZsRFHtPGIl4O7eq0PxSfEz7Ezd4SG9u3OHC9unlmdYlMRqqq82/o5vZrywkH6h1IZm3R+Sj8+boHZMBpBUu6jFWxRZFfhEINjyYxOhL4wei17igdo7spyrGgzPm6BmU0ea8r+bKRSa6qq6OHff3S17TBWVFneQ42F+iPw1SDpCFL0EpGsAN7mNcaMrPaiJkhRpKqim1oX1B8dKOvlTIsz9Ufg68EyriNIKgIlJcxSnDdsfVXqairLu/n5a+VWjh0fRjVIW60/2mwtZYTr8v+stRIoBihe7UXdiy2KVLpkKN5XoO1M/RH4G1I6vMRYKScc2NVLfXu240voAyFiqCzvsbKCDXw1SOGSIKmQOGOM2WWMKVvtBxhc6ws0QYoSixerk9YTJMO+sj5HR5DidZm/ilDVFe646VlJ8Y5hJqfjGRy1M7oRLkXaunotZK7d6ns0QYoSJXnDTEwlMDRmdyg2P3uMubkYBkaca9yYkBkXcJH2RIH7L6hKLaosd3H/o4oeai3GpkXa0c0YM734ZxHJFJFqEbl88Wf5e1bivnFZFRJVFXaatS13oKyP0w5OrwHEx+oUm4o8CXHzlBcOOjoauxFV5T0cO2tvdCQ+Vvd/Czci8p/AW4A+/2b2y1//DeCT/ocTwO8aY06s852fAX4baAQWO/gb4Jb14tHfGlGiuqKbl2pXrUVzzL5SZwu0ARJi53SZv4o4+8t6aerKYmbWjf+2DZXl3Xz90SPWIgiHIm2dXrvE/wP+BfjGKq83A280xgyLyF34eiiut4TzXUC5MWZ2o8HoFFtUMK4Zit9f1udogTb4EqSVRpB05YcKZ1Uurj/K2+7rNN89kGYthrhYL3M6ghRWjDE/B4bWeP1FY8yw/+FLQFEAX1sLZGwmHh1BigJFuaPMzsXQN2zvYgW+JclFOaM0djjTIHKRb4pt63fZM3lzQYhGqeCoKu/hu08dsh3GiqrKe6htzMeJvRZXExc77+oapGCNHoXZjV62iBxd8vh+/ybWm/E7wOMBvO+zwGsiUgtcaEptjLlnvQ9qghQFqiu6XbB6zberd2Pndse3RPCNIIVmGuJQTldIvleptcTFzrO7uJ/TTc6OxgaqsqLbWoPIRfFxC8zO6a+4UFmY8zDcs+Gb7gFjzJbnXUXkZnwJ0g0BvP3rwOfwbW3m3chx9F9PFKiq6Ob4uQLbYfin15ytPzJlhb5iTS3SVhFkb0k/7T0ZnJ+Jtx3KiqrKe/jBz6qsxuDmVWxae7R5IlINfBW4yxizZh8jvwFjzP/dzLG0BiniGapcMoKUt33c8fojCO0IklI2uGVUeCXbt02SmjxDW0+m1Ti0UWTkEZFi4AfAbxpjzgX4sWMi8lkRuXb5Mv/16G11hMvPXiyWTLccCXzp2zfy+ipL5/hWsek/dRU5qiq6+dFzl6yCdoXF7tnG2Ks/At9ebFqkHV5E5NvATfhqlTqAvwbiAIwxXwH+CtgO/KuIAMwHMGV3mf+/1yx5Tpf5q6UrXexerF7ndBwmaEXaSrlBbMwCe0v6OeWCvmYrsbm9yFJxLp1i0+m11Rlj3rvO6x8CPrTB77x5s/HoFFuEqyq3XyxpU6xnAWOEBa/7LpRKbcbunQN0D6QxcT7Bdigrqt7d5Yrpv/gw2WpkK8JsBZujROQtW32PjiBFuOqKbr7n0qXATthKF+2p6M0rlYu5uf9RdsYEGannaezIth2KKxtF6uiRo/5BRDpZe9ri74BHVntRE6QIlps5TnzcAu29GbZDscKUFZIYN75iF22981Lhqqqimyde3Gc7jBVdtreT1+oKrdcfQfhsVqtCphf4x3XeU7/Wi5ogRbCqisVaAPsXK1viV+mirVQ48ni8HCjr5Qvfusl2KCu6Yp8vQXKD+Fh31iApZxhjbtrqd2gNUgSrckGzNtsStEBbRZDywkEGRlIYnUiyHcolRAyH93byal0guz+EmiHOZVNsOr0WfjRBimBV5e6tVXBK/AY2qp0ocM/FVKmVuKWn2UrKCwcZm0ikfzjVdijEeAzGgNerv+LU5um/ngiVlT5JWsoMLd1ZtkOxarWNarciM288qN+nVKCqXVygffm+DtdMr7mtSaSOHoUnTZAiVGLCPN978pAriiVtSoidD3gESSm3a+zc7uoE6dhZdyQCvn3Y3JMghYIuNAmMiLxTRNL8f/5LEflBoJ20NUEKa6t3pe7q38aDz0Tv8v7FOzanirTfkBFo13ul1rP6ef3Nx44wPJ7sYCyBSYifY0/xACfr7e/5CBAf5579F3X0yLpPG2PGReQG4E34Nq+9L5APaoIURnwddPvYvbPf/4w7R4fiYheWPWOwscUIaJG2cr9wOa/XUlXeQ0PHdqZn3XGuxek2I+p1i7+Q3gzcZ4z5MRDQLs/uSLHVuhLi5/jiHzxMR28GBdmjnGzI54EnLnfdbt5xsQv8xp2v8o1Hr8BrFvPvpRd8g5O/ADZSpK2U08LlvF7Pod1dvHrWDavXfNzSRVtHj1yhU0T+DbgN+JyIJBDg4JCOIIWJ26+qp7FjO3//9Vv4i/vuojhvhPfccZxtqedth3aRmy5vJG/7OF7jITlxlsv2dPLp33mSO68963+Hs3fHiStMsencvXKLcDmv1/O1R67kh8+6Z/PcuLgF5hbsJ0jKFd4F/AS40xgzAmQBfxrIBzVBChOd/ekkJcyxLfU841OJfPGBN1KUO8pb33DadmgXuflIA88cLQfgbW+s5cbLG2lo387tV5/j07/zJCLOTrXFa5G2crFwOa/X4/V6mHHJ9Bq4YwRJR49cIx941BhTLyI3Ae8EXgnkg5oghYn+4VQmz8ezc8cIcbELjE4kcd/3r+WmKxq4rrrZdngAJCXMkps5wW1X1fOWG05z65X1fO+pw3z7p5fzx1+6BxFDedGAozElxM4xPbf1C/dM3lwQolHqYuFwXoejaFjFpgL2fWBBRCqA/wDKgP8K5IOaILmeb8Sloy+Dtp5M7rnxFOVFA6QkzTAwksqPn6skPm55UbQdM3OxfOY/b+Pnr+2iYucAnf3b6B5IByDG4yVv+zjtPZkhj2PpnZtvBElL7ZTbhM95HY7iXdYHKdi0TGBDvMaYeeDXgC8ZY/4Q36jSuvQ3hwvtyBqnIGeU+rYczs/EseD11e388Nkq4uPmueu6s/QOpVHTkM/b3ljLA08E1NIh5LxeD63dWbT3ZHD8XAGJ8fMXXrv5SAPdA2nMzDn7Ty4lYZqhyY139p3a5A4ttyU3bO6DKuKF63kdjpIS55iZtfPrTafWXGdORN4L/BbwVv9zAU0raILkMgd39fDJ33qGurZcEm+u4UR9AT9/dRd9w2kAfPfJyziyv53yokHuvbGWHz1XyTNHd1uO2kfEYIzgNR4mphKZmPI9Hx83jzHCd5+8LOQxLL847cvr5Gdnq9b93Ga2GTmU07Xm66VF3Rv+ThWZwvm8Dkd7S/po6Mh29JiaGLnWB4CPAH9rjGkWkTLgW4F8UBMkl7nqYBtfe+Qqfna0giP729lX2sfbb67l+89UMTDiGwk5emYnR8/sJDF+zjV9R4BVu3bPzsXy9K+cv9gnx09TlDnAud7XL1w6NK1sCOfzOhxVV3Tz5Qevd+RYTidGwbiGRdO+k8aY0yLySaDY/7gZ+PtAPqs1SC6TljxzoWHc0TM7ebm2mPPTcdx8xDd1k5s5zjWVrQBMWxpCXkl50QDXH2rmtqvOccuRevKzRy+8Vr27i8v2doQ8huUXqoMFbdT1FDK34J6/JxWdwvW8DkcpSTMU5IxR3xaaESRTVnjRj5O2mhxNFMREVXIEICJvBY4DT/gfHxaRhwL5rCZILvPdJw+zI2ucGw43AVDfnsPZ1hx27xwgKWGWPSX9DIwsniTu6Li7r7SXD937MrdeWU92xiS7Cod4560nedtNNcR4vMTGeOnq3+Z4XNVFrZzsLL3weLWLy3oXjKUr2HSjWrUZ4Xheh6uDZb3UteYwH6Q+SDYTIhUUfwNcBYwAGGOO41vJtq6Ab1VE5DqgdOlnjDHfCDhEFZD+4RReOLGLI/s7mF/w8FJNKa+cKuHeN55i545RXji+y3aIl3jLDac5dqaIB585RErSDJlp5ynMHeXqg22+rtqPHQl5DCtduKqKWvjaC7dt+Ls2WqCt+7Cp9YTjeR2uqiq6qWnc/Ia+bk2CgjF6FKXmjTGjIhfdeATUkC+gBElEvgmU4xumWlx7agBNkILMazz84kQpsR4vd117lqKcUdr7MsjLGmdq2p11Ca/VFbKvtJ+UpBkmzycweT6Bjr4MzrXm8Ee/8RzVFV2cbAjdJpYrXdAS42Yo3d7HmW73bH+golc4ntdLxcXOk5I0y8hFG+U6u21QoKoquvmPh67e0GfcmhQt0uRoS2pF5NeBGBHZDXwceDGQDwY6gnQEOGCMsbPjaJSZnYvl6aMVNHdl8Y5bT1KSP8y/fO8GOvoybIe2oqNndnJNZRt/8r7nONOcy6mmPM625DI8nszOHSOMTSY6HtOB/HYa+/OZXfD98tns9JpSwRJu5/VS77jlJP0jqTz1yp4lz/qSo8XVq26QlDBLSf4wZ1ty1n2v25MiFTQfA/4CmAG+jW/bkc8E8sFAE6RaIA/QdcsO8Xo9NHRk8/lv3OR7bNxbLjY6kcTffu02juxvZ29JH3dcU8dH/scvGZ1I5Pi5Qlq6sxyPqaqolZMdJVv+ntU6aK+3xF+plYTTeb0oOXGW6w618hf/ehcA+dmjvPHyJgZHUnjylT2uSY4ADpT1Ut+ezdwqzWHDMSnS0aOtMcZM4UuQ/mKjn10zQRKRh/GNo6YBp0XkFXxZ2OKB79noAdXGhMMFdNHRMzupacgnLWWa2BgvackzNHVuD+kxV7vgVRe18sBLb9zw9222QSRok0gVuHA6r99zx2vMzMYwNpnIjqwx/uC9z1PXmsOV17bzzttO8OdfvpvBUXe0z6gs76G24dL6o3BMjECTo2AQkT3An3BpDfUt6312vRGkL2wpMhV1ZuZimfH3dekZtBNDfMwc5TndnPbXH9mYXtMmkSpSDIykMHE+gY++4xcc2t3FIy8c4OHnDwLw4bf/kvKiAdckSNUV3Xzr8SuA8E2KFmnPtqD5b+ArwFd5vYY6IGsmSMaY5wBE5HPGmE8ufU1EPgc8t7E4lQqe1S6A+/M7aBnMZXouIagXGV3ir6LR4y/u49iZIg7t7iY3c4KfvrT3wmsFOWM0doR2lDhQCXHz7Coa5HRLbtgnR8Ggo0cXzBtj7tvMBwMd5719hefu2swBlQq1yqJWajpK13xPIBeP1eqPltIl/irSzc3H0tmfwU9f3sM/ffvGC/spVhQNkJs5wdO/2rPONzhjX2kvzYN5TBeW2g5ly3RqLageFpGPiki+iGQt/gTywfVqkH4X+CiwS0ROLnkpjQCXySnltOrCFh48dt2GLzJbqT9SKtLNL8QwOpEE+PZXPLirhwefrrYclY8pK6TqynPUdG59YYZtOrUWdO/3//dPlzxngHWbj61Xg/RfwOPAZ4FPLXl+3BgztJEIlQqm1YbQ42Lm2ZvXyamuYt+6S6XUpsTHzTM3H8O21PPL+h/5WhY8+ov9QetWvRWL14Kqwla+d9SZ/ddCRfdZC4ldy1sUiUhAvWfWq0EaBUaB94pIDLDD/5lUEUk1xrRtMmClQmLPjk46hrPpz1u9LmKrFxBd4q8i3ZUH2rj96nMkJ87R0pXJ+Zk4fnV6J+facgG4vrqZxs7t9AymW4tx6U1SXMw8u3d0cbprp7V43ECToxX9B/DBxQcikgI8BNy63gcD7aT9+/j2M+kFvP6nDeCO8VUVVdYqwKwqbOXYWEXQj7legbYu8VeR5GPveoEvPHATCwtCesoMJfnD3H51PblZE/ziRBnbUqfpG061HeYFe/M6aR/KZmrW+aa0waJTayHTKSL3GWN+V0QygUeBfw/kg4E2ivwDYK8xxtLCbeVWH7r3Jc625rpmL6mqolYe7Lphy98TSIG2UpEoK32Sps7tnKx/fXug+vZsDpT18ubrz9A3lMZjL+63GOGlN0lVhS3UhmH9UTCTIh09Wpkx5tMi8jkR+QpwBfD3xpjvB/LZQFexteObalMOuv5QM++765jtMFaVED/HHdec42xLru1QAIjxLLC/sIOTg6tv1LzaRUQLtJUTPOLln/7wxyTEzdsOZVUj40kMjyfxDx9/mOrdvunkgZFUfv5aOc8eK+f2q+sQcdeuU9VB6pzvlMniFE2OQkxEfm3xB3gFuAZ4DTD+59YV6AhSE/CsiDzKxZ20/3GDMasNuGJfB229GbbDWNVNlzdyumkHAyPODbWvNb1WkdtN91QmY7PODFWvtsRfm0Sq1ZQVDpGaPHNhqbwbeY2Hf/7OjbzlhtPcemU9V+5v51RTHi/VllBWMITH8t5ry68BMZ4F9uV38LePvtNSRIGLpGk0mRMSely90fJblz1+DYjzP2+AH6z3BYGepW3+n3j/j3JAZXkPj/7C7lD2Wu6+/iwPPH657TAu2FvZzfH+8lVf17ssZVtleQ81K2yF4UZP/HIv9e3Z7C/r5Y5r6vjAPa9Q15LLfz58pbWYVrpB2p3bRfdIJhMzSRYiWl+okyK9rq3MGPOBrX5HQAmSMeZ/A4hImu+hmdjqgdXaMtKmyEqfornT+Y1eA1FRNEBG2nmOnimyHcoFh7ObeLz1yIY/t3x6bXn90dICbV3BpraiuqKbF06sPgXsJvMLMdS15lLfns2Pnq0iM22KsclEFrzu2keuuqjVdf2PImmkKNyJyNeBTxhjRvyPM4EvGmM+uOYHCbAGSUQqReQ1oBY4JSLHROTgFmJW66gq7+FU0w7Xbmr5pmvP8pOX9joa31rTa+eLk6je3syJgfD45aOij4ihsrybmobwKnjz+hOi4fFkq8nRaud/VVHLup3znbBYV+RkcqSjRwGpXkyOAIwxw8BlgXww0H/t9wN/ZIwpMcaUAH9MgMvk1OZUVXS7dig+Pm6emy5v4smX3bHFwGRxChUZXQxOpzM8k7bie0JZnK1L/FUgivOGmZyOd7RmL9J5ZIGDBe2OjyAtTYacTorUhnn8o0YA+LcZCWj2LNAapBRjzM8WHxhjnvU3W1IhUlXewz+98gbbYazouqoWzrVn0+9gH5T1Np88lN3M8QF3tBpQaiVVYVR/5DZrnf9/9eNfZ/R88H8duT3p0dGjgH0ReFFEHvQ/fifwt4F8MOBVbCLyaeCb/sfvA5o3FKIKWFryNLnbx2noyLYdyopuv+YcT77kjtGjRZdlN/JMx6Etf89a9UdKbUVVRTe/Oh3dnZ6DzWtigtL/yO3J0HKaHAXOGPMNETkK3AII8GvGmNOBfDbQKbYPAjnA9/EtjcsGfnvjoapAVJb3cLY598Lcv5vkZE6we+cAL9aU2g4F8F3YBC/Va4wghWJ6bbUl/kqtzPinzcOr/sgN1hs93gydHot8IpLu/28W0INvb9kHgB7/c+sKdASpHNiJL6GKxbeHyS3oViMhUVXRzUmXDsXfftU5nnt1F7MO9nFZ7wJZlt7LxFwSA9PbLnlN77SUGxTljjI/76F3aOUaORV6kZII6TUtYP8FvAU4hq/v0SLxP163JiPQ33IPAH+CbxWbd533qi2qrujmXx+8znYYlxAx3H71OT77/9bd489Rh3OaON4f+vqjQJb4a5NItZKqim5qGvPxXZvdzODxGPeMXpdt/UYxUhIjtTHGmLf4/7vppc2BJkj9xpiHN3sQFbjkxFkKc0c515ZjO5RLVJV3Mz0by7k2d9RGLV74Dmc38WL3pQ0117rT0q1FlJOqyntcOyq81BX7OrjnxlP89f13WovBI14QX3sBE3AVyKUiMTEK5uhRNF0DRaQQKGFJzmOM+fl6nws0QfprEfkq8DQXbzWybqtutTGVu3qoa81hfsF9w6i3X33Ov7TfubvgQOoPDmS28W+1d235WJsp0NYl/mp9vvqjB54IqPWKVe++4ziPW96I9lO//QxT0/Ekb4/h/p/fwcB4+oYTJU2OVhZNSdEiEfkc8G7gNLDgf9oAQUuQPgDsw7ePyeIUW0B7maiNcWv/o+TEWa6tauWrP77adiiXSI2fZnTZ/ms6eqTcIm/7ODEeL539l9bIuUlR7giFOWM896q9dhkffccvmJ6J4z8fuor3vfssf3T7Qzx84kpealpsSmtY6wYtEhMjtWVvA/YaY2bWe+NygSZIh4wxVRv98tWISAbwVaAS37/4Dxpjfhms7w9nVRXd/OdDV9kO4xI3XtbEifp8Rifcsd/R0gthYsws0/PObZqoK9jURry+6MLd9UfXH2rhxZOlluqPDHGxXpIS5niptoTR3HK+/LNy3rinhrdd9hIpCdM8efoyojU50tGjLWnCN7gTsgTpJRE5EGjvgAD8M/CEMeYdIhIPJAfpe8NaYvwcpfnDnG3NtR3KJe64po7vPnnY0WMGMr0WI74R03nz+gVEV3koN6kq7/EXaLvb9Yea+Y8f27o5E+bmY3j5VDEHd/VwrnGEvvEMnjtXRf/ENv70TT9keDKVo627V/y0Jkdri8bkSET+P3wDMFPAcRFZXiL08fW+I9AE6Qbg/SLS7D+A+L7fbHiZv783wY34+ygZY2aB2Y1+TyQ6sKuXho7tji6hD0RR7gh5WeOubHKXGDPL7EIcgd6dr3ahWK/+SDepVZtVVdHN958J2gB8SOzIGic3a8J6ItfYkc211/Zxa/xJnjlbxfBkKqe7ivnhq9eQnjS14mc0OVKrOOr/7zHgoWWvGQIQ6G/iYC5p2AX0A18TkUP4gv+EMWYyiMcIS1Xl7qw/uv3qczxzdLdrlv5eNL0WO8v0wuvTazYvKLrEXy2XnTFBUuIcrT2Z67/ZousPNfNyTbG16bXFG5zugXS++cubef91z/D2y1+iZSCXxv483lx9lO8fu7T1iSZH64vG0SMAY8zXAUTkE8aYf176moh8IpDvCOhsMMa0rvSz8ZABX1J2OXCfMeYyYBL41PI3iciHReSoiBydNdObPFR4qXZhg0gRw81XNPD0ryocPW6g3XP3ZHTRPLYjxNGoYIjWc7q2IQ931x8Z3nRtHU/9ytb2QYKI74belBXQPZrFF3/6NjqHt7MjfYT3XvU8Pz93kJ+evngVYCQnRyqo3r/Cc78dyAdtzOV0AB3GmJf9jx9khQTJGHM/cD/AtticgIbDwll83DzlRYOcbnbXL/sDZb2cn4mjuSugzuyOO5zddGGLkfXuuKL1Tsotou2cBt+2QW4cFV6qsrwHAce3QXnHLSdY8Hr44bNVGCN4xMsCvv/OLcTy8AlfPVSsZ555r7vKDpT7ich7gV8HykRk6RRbGjAYyHc4/q/OGNMjIu0istcYU4dv25JgFX+HrX2lfTR3ZzEz69xqrEDcdEUjPztWgVvugJffNR7ObuIrtXdv6TuX1x8pFSzVFd088sIB22Gs6e7rz/DYi/tw8hy/rrqZd9x2ku7+dEryh/nSt29koXQnHvHiNb44CjIGmZxJYPR86iWfj/TRI51eC4oXgW58e8d+ccnz48DJQL7AVlHJx4AHROQkcBj4O0txuEa1Czey9Hi8vOFwE8+9Wu7ocQOdXkuKmaFsWw+nhoqt1B5pk0i1lqz0KbalTtPS5d76o/SUaa460M5Tr6y8OixUFrwe7v/BNXzqy3cTH7vAZ3/vUXLTRvy9joRtSZNcs6uOGE9UDDSqEPCXAj1rjLnWGPPckp9XjTHzgXyHlQTJGHPcGHPEGFNtjHmbMWbYRhxu4sYGkZft6aRnMI3ugXTboayocnsL9SOFzHrdNeqmFEBleTenmnb4f+m70+1Xn+OXNSVMTCU6etyXa0t44UQZM7Nx/NO3b+TU8G7+5p5vszevA4Crys7xctMehiYv3dw30kePlHvoxK4LxMUusKe4n1NN7hpBuumKRp51ePRoIw5nN4dkk1pd4q+CoarC3fuviRjuvu4MX/jWTVaOv9jOZG4+hm/+8mbaBnP42C2PkrdtmEdPHvE3hlTKHvfe2kSRPcX9tPdmMDUdbzuUC+Ji57mmqpWfO7ztwFrTa5fUH+U08drAroCm16J8Ll5Z4Na2HYsO7+5iZi6WMy12G9MunvPPnatkYCKN0107+dovblvxvdEweqS9j4JLRG4RkU01o9YEyQWqKrqpbXTXb/CrDrTT2LGdoTF3XpDiPXPszuikdrB0S9+jBdoqFNJTpsnJnKCxc7vtUFZ19/VnePQX+3HLAozirD6S42f5zCPvsh2Kiiy/ja+T9i9F5PMi8lYRCagwUBMkF6hyYf+jm65o5Nlj7ux9BHAwq43m0TymF5wdddN92FQgqsq7Od28wzXNVZfLTJvi8N5OfnbU2XN8uaXnfNtQLp/+0a8zt7ByTWE0jB4Fk46a+xhjfssYswf4H/jaDH0ZX7Pqdbnz7I0iMR4v+0r7XDWClJw4y+X7OnjhRKntUFZ1OKeR4wFOrynlNDcuuljqjmvqeP61Xa6a1geYmXdXPCr8icj7ROTf8PVcvA34F+ANgXxWEyTLKnYO0DuY5vgqkrXcfKSBY2eLXBXTSv2PXhsIrD5K76SU0yor3Nsg0iNe7r7urL/3kT0bGTGOFnrDFxJfwtdO6N+BjxtjPm+M+WUgH9QEyTL33Wn6VrY8/ov9zh51AxfLOM88+zM7ODlQFsKIlNqc1KQZCrLHqG/Pth3Kii7f18noRCIN7Tm2QwmYTq+pzTLGZAMfBBKBvxWRV0Tkm4F8VhMky6oruqlx0fTanuJ+khLnOF5fYDuUVe3LbKdtIoep+fVHuNYaPdICbRUKB8t7qGvNYX7BnaMBb75hsTjbHh09Uk4RkXSgGCgBSoFtgDeQz2qCZJFHvBwo63XVCNLd15/liRf3YYw7VrbAytNrxwfKdDhauZKbl/dnZ0xwcFeP1f5mG02OomX0SK9nIfMC8FZ824u82xiz1xiz0ga2l9AEyaJdhUMMjiUzOpFkOxTAV5x9/aFmnnzZ2V29N3rBPJzTFJIGkXBpk0ilNsrNDSLvvLaOZ4+Vu27PR6VCxb9jx0eBh4GRjXxWEySL3FZ/dNMVDRw/V8jw+KZ6ajkiRhaozGrlRAAF2sEozg60i3ZpUffWD6bCXlLCLMV5w9S1uq++x+Px8qZr63jM4vSajh45QxemvE5EKkXkNaAWOC0ix0SkMpDPaoJkUVVFN7Wu2aDWcPf1Z3nc8sqW9aTGTfOjpmsZn9taEqf1RyoUDuzqpb4th7l59+3idNXBNvoGU2npzrIdilpioiBGp9dC637gj4wxJcaYYuCP/c+tSxMkS0QMleXuGYrfvXOAlMRZXqtztnhyvTvK5XeQo7Mp3Ff75nUvKHoHpWxw26KLpe661u7S/rXO9Y/f+jDJ8dMXPReq0aPFhGSlHydpYrQyEblTROpEpEFEPrXC69tE5GEROSEip0TkA+t8ZYox5meLD4wxzwIB/ePSBMmSkrxhxicTXLOVx13XneWJX7qrOFupcFNZ7s7+RxlpUxzY1csLJ+y0xlgrOcpNG+G68rNMzSYE/bgbTYKcSp40MVqZiMTg63R9F3AAeK+IHFj2tt8DThtjDgE3AV8UkbU6jDaJyKdFpNT/85dAcyDxaIJkSVVFNzWN7riQJiXM8obLmvjpS+4uzg6Ujh4pGxLi5tlVOMiZ5h22Q7nETVc08lJNiSuLs6uLWqjpLCGYe8KFKqnZ6vfqqNG6rgIajDFNxphZ4DvAvcveY4A0EREgFRgC5tf4zg8COcAPgB/6/7zeqBMA7psojxLVFd28VFtiOwzAd/E8ca7AdcXZqw2xu+ECc1tyg+0QlMvsL+ulqXM7M3Puu6zedmU9//6jq60ce70bocrCVmo6Lr4WbmV6zYnrw9JjpHYtWIsjAhUC7UsedwDL/+H+C/AQ0AWk4Vu6v2pfI2PMMPDxzQTjvjM5Kvjqj2xdsJa767qzfP2RI7bDcIwWaKtQcNuq1EUl+UNsS53mZIM7m79WF7Xy4+NbvxbaSkjclgg5NYLumYPkng1/LFtEji55fL8xZmnB9ErDiGbZ4zcBx4FbgHLgSRF53hgzttIBRWQP8Cf4mkReyHmMMbesF6wmSBYU5Y4yOxdD33Ca7VCo2NnPtpRpXq0rcvS4Or2mIk1VeQ/ffeqQ7TAuceuV9TxztMJKfeF653lWyhhpiedpGci98NxmRo/clqSoVQ0YY9a6G+8Adi55XIRvpGipDwB/b4wxQIOINAP7gFdW+c7/Br4CfBVYebhvFVqDZEF1RbdrVq/dde1ZHndhcbaN/ifaJFJtVlzsPLuL+znd5K76I494ueVIA0//arfjxw7kJqi6qJXazmLMFn4VaXIUUX4F7BaRMn/h9XvwTact1QbcCiAiO4C9QNMa3zlvjLnPGPOKMebY4k8gwWiCZIFbCrQT4+e48bLmsCrOXutiGOrRozdknAvtAVTY2lvST1tPJudn1lpM47xDe7oYGkumrSfTdigrqips5WRH6YXHG7kx0oLnyGOMmQd+H/gJcAb4njHmlIh8REQ+4n/bZ4DrRKQGeBr4pDFmYI2vfVhEPioi+SKStfgTSDw6xeY4Q1VFN9947ArbgXDTFY2cbMhzTasBtwm0i7ZS1S6tP7r1ynqefsWdo0cAVUUtPF57eYijUeHEGPMY8Niy576y5M9dwB0b+MrFfdf+dOlXAutux6AjSA7Lz/ZN43QPpFuOxFec/fiLzm47EMiFczPTa4GOHmmBtgoFX9NXdxXAJcbPcU1lm9WNadeyLWmC7SnjNPX7/t42OnqkVCCMMWUr/AS0macmSA57faWL3Zqf8qIBMtLO8+pZZztnb5Ww6mpOpayI8XjZW9rHqSZ3JUjXH2qmtjHP8c2wAx89auVUVzFeo7+GgkUXqVxKRN4pImn+P/+liPxARC4L5LM6xeawqnJ3DMXfdd1ZfvLLvY5enDZTe/TGgpOUb+shIWaOr4zejllw9mKv1Hr2FPfTPZDO5Pngd4Leituuqre6Me16qgpb/Q0idfRIhdSnjTH/LSI34GsR8AV8q9rW7S2hqbvD3LCCLTF+jjde1sRPXtprNY6VLL1QHs5u5PeqH6FpLI/0+Cm+tO8/qEptIWbZSk29a1I2ubH/UXbGBOVFg7xUW+zocTdyE1RddHGBtlIhsvgL483AfcaYHwMBrabQBMlBuZnjxMct0NG3zWocb7y8kZrGPAZHnSvO3szoUVl6L7/oPsCzndV87tV38vPhA3yg8Bn2pviKpz0bnG7T+iMVCr4EyV1Z+s1HGnjheBlz8+6cJEhLmGJH+jANffk6eqRCrVNE/g14F/CYiCQQYO6jCZKDqip6qG3Mw3b90S1XNvDTl51d2r8Zp4eKSYmdZmdqPwBf77qFk+Ml/FnpD0mJmcYbxH++2gNJbYbH4+VAWS+1Lmjb8TrDbVfWO977aCM3QZWFbZztKWLBqwmPCrl34WsbcKcxZgTI4uIVbavSBMlBVS6YXktKmGX3zgFeq3OuOHuzfY8Gpn0r/Y7k1hNTPA3A/+u6lebpXN6W8zKg02vKrvLCQfqHUxmbTLQdygUVOweIj1vglMuaVi5VVdRKTUepjh6pkDPGTBljfmCMqfc/7jbG/DSQz2qC5CA3FGhX7+6mrjXHlbt6TxanXDRtNjidzg+arue6/DPcmf0qu5N9U2t9MxmILN+eRynnuaXp61K3XrnYOdtd3fGXqipq4WSHOzbrVmo17pygjkBZ6ZOkpczQarmj7eV7O3jVhaNHBRmD1JOCFw8evP7pM8PZ4Z189dSbuPPgK1ye1gzAvpROfv/sh0IY9caaRJYWdYcwEuVm1RXdPH20wnYYF8R4vNx0eSN/9KV7HD3u0vP8ml1n2bOjCxGD58KP1/fYY4gRLzszB3gtfg/atSN4dDQ9+DRBckh2xhQ9g2nW9zyr2DnICycC6pHlmGt2neXP736QZzoP8XfH3nNRkiR4qRsporF9O+mx59mf0sEXW++hbzbDdtgqyokYDu7q5Z+/8wbboVxQXjTIyESixUa0hj+8/SGeratkZCoFYwSv8eA1gtcIxggLxsNnH38Hc97Af/3o9JqyQRMkJ7lgVig/e4yufvtdvBclxs1wz+FX+Lfn7mT/nk7+/Irv8tlj78aLhxhZYMH4LowLxkPbdA5t0zmWI1bKpzR/iNGJRIbHk22HcsG+0l7ONDtbe7R09KgwY5C5hVjue/Yu1p3ic7YDgVIbpjVIUSQxfo7kxFmGxtxzQZ+eS+Aff3ovT5+p5v+evIe0uPP8ryu+A3AhOdqT0cHd2a8SJ/OOxXWiv8CxY6nw5IaeZsvtK+3jTEuuteP7ehuV4Ob6p0iV3GM7gsijCVIUyc8eo9fBab5A648GJrYxVJDJyEwqn3/1HaTGTfOXR74NQMW2TjKLRnhi8DLmjA54KvdwY4H2/tI+zlpMkKqKWqjR5o8qQmiCFEXys8foGrDbpHI9I7O+JMkg/Ncdn+czV3+L4+NljM4719Ryo1o63PVLUjnBUFnR46oGkRlpU6Qmz9DRl+HYMS++CTJLRpCUCn+aIEWRguwxugfSbIexrpHZVBpH80mOneZ//fL9DM65p2ZKKYDivBHOT8cxMJJqO5QL9pX0U9eaa20hSN62YTweL50j29d970b6HylliyZIUSQ/e8yx1S2bbQ4JkBY3xdU76vijF/4nzePuuUNXapEb91/bX9Zrd3qtsJUarT9SEUQTpCiSnz1Ol7Xlv69LiJ0lOX561dfH55L55IsfoGnMXb+AlFrkhqavy+0r7eNMs90C7RqdXlMRRBOkKOLkCNJartlVx5++6YdrvmfW675O30r5GP8KNveMbno8XnbvHKCu1bkEafkocVVRCzWdpY4dX6lQ0wQpSsTGLLA9Y5K+odDXTKw3vVZd1EpNp95pqvBUkDPGgtdD75B76vlK84fpH0lh4nyClePnpI6SFDdL66D2KVORQxOkKJGbNcHgSArzC/Y70vr2YSq1HYZSm1J9of7IPbU2FTsHaGjPtnb8qqIWaju1/sg27YUUXJogRQm3TK9tS5ogO3Wcpn73TE8otRFVLmwQWZo/RHNnlmPHu3R6LfDl/bqCTYULTZCihFNL/NebXqsqbONU10685vV/enrBVOHD+Au03ZXglxUM0dztXIK0XFWhTpuryKMJUpRwywiSWzvtDve4p55EudeOrHFiY7109rup4aqhrNDZEaSlslLGyUiepGXA2T3glAo1TZCiRH72uCsSJO20q8JZVUWP6+qPMtPO4xHj2B6Ll0yvFbZS21l80aiwUpFA/0VHiYLs0ZD3QFpvei0tYYod6cPU9+lGsCo8ubFBZGnBEM1dWdhK2jYyKqzT6SqcaIIUBUQMO7bbH0E6WNjG2Z4iFrz2V9IptRm+BMmF9UeWptfAPyocwvqjiQK9Xig7NEGKAlnpU0xNxzM9a7f5onbaVeEsO2OClMRZ2nozbYdykbKCIVocKtBePkq8LWmS7NQxGvvclTQqFQyaIEUBVxVoa6ddFaaqKnqobcy3thnsasoKhmiyNIJUWdjK6a6deI2O8riF9kIKHk2QokC+A0v816s/So6fZmfmAHU9m9/EVimbqsrd1//I4/FStGOE1h47o1pVG5he0/ojFW40QYoCBdljdA3YXZZ8oKCdc72FzC3EXvS8XjRVuHBjgXZhziiDIynMODB9vtJNUHWhO9t2KBUMmiBFATdMsVUXtWxqeb8WaCo3yEybIiPtPC1d0Vt/tFxqwnnyM4Y516urUlVk0gQpCoS6i/Z602ugnXZVeKus6OZUU57rev2UXVji77yDhW2c7dZVqSpyuetsVyFhu0lkQuwsZdm9nO0uCur3Tm1w4UxCj91VfCp8VZX3uG56DZxLkFadXtP6IxXBNEGKcKnJ03hivIxOJFqL4UBBO439eczMx1uLQamtcGP9ESxtEum8jWxQq1Q4il3/LSqcFVwYPQrN0uSAp9e0kFOFqfSUaXKzJmjo2G47lIskJ86SkTpNjwObUF9y7PhpirP6dVWqSyX3bHyEfaM8c5DatRDag1imI0gRLj97jO7+8CzQVsoNKsu7OdO8A6/XXZfLkvxhWnsyQ14XtdJNkG9VagFzCzptrSKXu854FXT52WMh34NtLXExc1TkdnOme6e1GJTaitc3qHWXsoJBa9Nr1Rto+qr1RypcaYIU4UK5xD+Q6bV9eZ20DuZyfi7hktfC7cL5/Mge2yEoC9zYIBKgrGDYXv1RodYfqcinCVKEc6KL9lqqi1pCupGlUqGUkjRDQc4Y9W3ZtkO5hK0RpITYWXblBH9VqlJuowlShCuw3CSyqkgLtFX4Orirh7rWHOYX3Nbrx1CaP0xLiBOk1eqPdFWqigaaIEWw+Lh50lNmGBgJ/lRWINNrsZ559uZ1UttZfMlr4TC9dqJfOwRHu+qKHmoa3Te9lpM5ycxcLGOTzrfv8K1K1f5HGxHpq70ilbUESURiROQ1EXnEVgyRLn/7GL1Dqda6/+7Z0UXncBZTs/Z6MCm1FW7tf1RWMGht2xPfqtRSK8cOR4vJUWrXgiZKYcbmCNIngDMWjx/xbHfQripqDXily0p0HzZlU1LCLCV5w9S15tgO5RK+Au3Q9mVaaZR4cVXq6S5nVqWG8zVgtYTIqUQpuSfkh4h4VhIkESkC3gx81cbxo4WNTWpjPfPcsPsU77ryeW4/cFxXuqiwdaCsl/r2bGbn3NdP17fFiPMjSPvzO1Zdlap8Ak2AdETJ/WyNIH0J+DPAu9obROTDInJURI7OmmnHAoskGWnnGRpLCvr3rlV/tHtHNx+/9RHSE8/z4LHreLlJl8Yrn3A7p4tyR2nptrOMfj3ZGRP0DTu/OrU8p4eGPvdNObrBZhMeTZTcy/EESUTeAvQZY46t9T5jzP3GmCPGmCPxojUsmyWh2WFkVVOz8YxMpfLV5+/gidor8JrwHSJfy1NTFbZDCDvheE57vQ6fQAHyGkEwjh/XI4aZeee6Z4dL4hAucaqNsTGCdD1wj4i0AN8BbhGRb1mII+J5vYJHnL2ITs4kkpIQnNGB9S46OseuopXXK3g8zidI6lKaHEUuxxMkY8yfG2OKjDGlwHuAZ4wx73M6jmjgNc5fRCdnEkmJd//0iVLhzOv1hPTcDqSNhwouTbTcR/sgRTCvVxCHR5DOz8UTHztPjEdPdqVCxWucHx1Wl9KkJrJZTZCMMc8aY95iM4ZIZqxcRIWp2QSS42ccPm5gEnpWr58Y7rG3JYtSG+GbYlt1jUuIaWIGmhxFAx1BimALluoUJmYSSQ1SHZJS6lK2apBspEZuTETcGJMKPk2QIpgxzk+xAUxMB69QO1y0dOjSZ+WcBa8Qo1Nsah26kGVrNEGKYDZWsQFMzUZfgqSUk7wmtEXaanU6ehQ9NEGKYDZWsYFOsSkVagsLuszfhlAnR5p8uYsmSBHMTpE2TM4kkOLSIm2lIoGtmx9wvvmsW2jyEn00QYpgNpb5Q3CbRa5H59hVNPJNnzu/is2YKM2OVFTSBCmC+e4ynT/uhIMJklLRKNSNIt3G9uiN7eMrOzRBimC+ZnLBvcsMpMPupNYgKRVSXiPERFGCZJMmR9FLE6QIZrxipV7AySm2zVirWaRS4cDWCtVoo8lRdNMEKYL57jKdr1OYnE0gJSEyirRP9BfYDkGpS4SyCex6o8SinbRDSpMy99AEKYJ5jZ0RJF3mr1Ro2d1qJDpooqI0QYpgNlexJcc7lyDpSjYVbbzGE3U1SE4mLJGUHOn1cfM0QYpgxlIh5+RMIqmJOoKkVKjY2ostGkRScqS2RhOkCOa1tRfbTKI2ilQqhHSKLTQ0OVJLaYIUwWzdZU7NJvhXsW392HrBUupSXktd8gHQXpEqSmiCFMG8BisX0QVvDLPzsSTFzTp2zGDNsw/3pAXni5QKIa/XzvS5ieDsyE03Y26KJZppghTBbHbbdXs3be2FpMLZQpR10l4UqsRBExK1Ek2QIpgxWKlBApiadXeCpFQ4szrFFmE0OVKr0QQpgnm9HmsXUd8IUuQVaj8/ssd2CEqxsKCr2IJBkyO1Fk2QIpjXYO0iOjmT4HizSO33oaKFbyNqO6vYIqWTtiZH7iQid4pInYg0iMin1njflSKyICLvCFUsmiBFMK/XY22KbXImkRQHm0UqFU1sjQ6bDR4ypW0yNIFskSZH7iQiMcCXgbuAA8B7ReTAKu/7HPCTUMajCVIEM0EeQVpvj6al3F6krVQ4C1ULj42c4+EqXJKjYMYZRqPrVwENxpgmY8ws8B3g3hXe9zHg+0BfKIPRBCmC2SzknNT92JQKGVvL/N1gK4lDuCRHESxbRI4u+fnwstcLgfYljzv8z10gIoXA24GvhDZUiA31AZQ9tvZiA1+ClJZ4ftXXU9ommSxOCfpxk3tgKi/oX6uUq/hqkKIzQdosTY6CK2Z2YTNTqAPGmCNrvL5So63l/9C/BHzSGLMgId6NXROkCGYsXkQnZhLJ2zZs5dhKRboFr+ARW0Xa4UeTo7DRAexc8rgI6Fr2niPAd/zJUTZwt4jMG2N+FOxgdIotgvkuovZWsbm9BmmrzSKfmqoIUiRKbYytJrDh2Elbk6Ow8itgt4iUiUg88B7goaVvMMaUGWNKjTGlwIPAR0ORHIEmSBHN5giSzRqkYBcknugvCO4XKrVFOsUWmHBPjsI9/o0yxswDv49vddoZ4HvGmFMi8hER+YjT8egUWwTzGiHEU7SrmpxNJDk+8hpFKuUGXoujw26Q2rXAREHMmq+r8GSMeQx4bNlzKxZkG2N+O5SxaIIUwbxeIcZSncKErmJTKmSieRXbWjQxUsGkU2wRbH4hhrhYOwnS1EwCyUHaakQvesqG2fkYkhNnbYexotn5GOLj5q0c29bK2LWkdi3odUIFnSZIEWx4LImMtNWX2ofSvNdjbfQKwqoxmnKpsy257C/rtR3GivqGUsnNmnD+wC7KjRaTIk2MVKhoghTBRicSSUuZJsbCnk1er8fKcZUKlpbuLLalzJCVPmU7lEv0DqWxI2vc8eMa7PVWU1ujN40bpwlSBPMaDyPjSWRauMAvmPBNkIZ70jb1uZaO/CBHomwyRqhtyqOqott2KJcYnUgkIW6BpARnpwCNCc8+SEpthiZIEW5oLNnKHfCCC0aQ9I5JbVVNgzsTJBB6h1LZ4fg028ZHkNy6YW240ClEezRBinBDo8lkbXM+QfIaj7VOvxux1WaRKrKdbMinqtyNCRL0DKaRt93ZaTadXFPRRBOkCDc0lsz2ICVI0twZ8HsDGUHSO0vldk2d28nOmGRbqp3FDmvpGUxjh9MJktEaJBU9NEGKcIOjdqbYvGaxT0twLqY6zKxs8Ho9nGrKo7LcffO1Ngq1DVqDpKKHJkgRLpgjSBsjzC/Yn2bTOiS1VTWNeVS7sA6pNwRTbOuOEhtBJ9pUtNAEKcLZGkGC8F7JptSimoZ8Kl1Yh2Rrqf9m6HS6CkeaIEW4oTE7RdrgjpVsSm1VfVsO+dnjpCa5a2/B14u0nRvRGZpKZUf6qGPHU8omTZAi3JDFESTfflH2EySdZlNbseD1cLYl13V1SBPn4wFITXKuF9KpzmL25XcQ49GaQCdpDaYdmiBFuJGJJNJTpvFYSFQWjN3tRpQKFnf2QxLHl/pPzCTRM5rJ7twux46plC2aIEU4r9fD2EQimRb2ZAv2FJveRSlb3NoPqWfQ+Tqkkx0lVBe1OnpMpWzQBCkKDI6lWFnJFi41SNosUq3nXFsuO/NGSE50dmuP9fQOOd8LqaajlKqilg1/Tgu1VbjRBCkKDI0mRe12I8Fyor/AdgjKorn5GOrbcjhQ1ms7lIuEYqn/emo6SzhY0I5HdEQ33Gg95sZoghQFBkdTyNoWnLu3jXTT9moNkoogJxvyXVeHFIql/uud46PnUxiYSGNXjruSRaWCTROkKODbsNadNUg67K7ChRsLtW3sxwa+abbqTUyzKRVONEGKAkOjyWwP0gjSRix4PVZWz4Xa8yN7bIegLDjbsoOygiES4udsh3JB71AqO7ImcLq7tRZqq2igCVIU8I0g2diPLfg1SJtdyaZz72qrZuZiaerYzoHSPtuhXHB+Jp6ZuRi2pU47etyazlIqC1sRNnZ+64jx5ukqXudpghQFBkft7Mc27/UQFxOeJ/VwT5rtEJQL1TRGRx3SeoYm0xg9n0xptnuSRRUYvVkMnCZIUcDWCFLrYC7lOXo2qshR05BHpdsSJGt1SCVU6TRbWNIkKTCaIEWB4fEk0lOd76Zd01GihZwqopxu3sHunQPExc7bDuUCa4XanVqoHc40SVqfJkhRwOv1MDaZSEaqsyvZajpKqCxsxekCUqVC5fxMPK3dmewr7bcdygU2ptjAV6hdpee3imCaIEWJoTHn65C6RrMQgfxtw44edzO0m7YKVK3L6pBCMYIUSL+z/vEMpufiKc5yT7KoNkZHkdamCVKUGBpNJsvxQm3x1ym0BPVbdTWHsulkQ56r9mV7fam/82o6N16HpCvZ3EWTpNVpghQlhsaS2R6kQu2NdNOu6dR+KSqynGrKY29JP7EuWaHZO5RGbtYEIs5Pdb0+zabCmSZJK9MEKUoMWhlBgpMdpVQVtjh+3JWE4iLw1FRF8L9Uudrk+QS6+tPZXTxgOxQAZudimTgfT2aa8+f36x21tQ5JRR5NkKKEraX+7UPZJMTOk5s24vixlQqVkw35VLuoDsnWUv/u0Uy8RijIGHL82Cq4dBTpUpogRQlbI0gg69YpaE2CCje1jXlUuqoOyU6CBEJtp06zRQpNki6mCVKUGLLUTRv8hZwumWZTKhhqG/M5UNbrmr0GewbtLPUH3zT6Rvsh6U3R5ugCFWdpghQlbE2xwWLDSL3DVJFjbDKRvuFUKooGbYcC2GsWCdpRW0UuxxMkEdkpIj8TkTMickpEPuF0DNFoeCyZbann8Yjzd7wtA7mkJZ4nK2UsaN+pd1LKtpoG9/RD6hlMIz/b+V5IAO3D2cTFzLMj3f39zpTaiFgLx5wH/tgY86qIpAHHRORJY8xpC7FEjQWvh4mpBDLSphkaS3b02AYPtZ3FVBW28ty5KkePrVSo1DTkc+uV9Xz/mWrbodDWk8HOHSOWjv56HVLvWKalGJTjZuY21PIlHDk+gmSM6TbGvOr/8zhwBih0Oo5o5CvUtjP3r/2QVKSpbczj4K5eK6Oyyw2NJRMfN09a8rSV4+s0m4pEVmuQRKQUuAx42WYcTvB6hbhYuxfSwdEUsjPsJEjH23Zxw+7TXF1WZ+X4SgXb8HgyIxOJlBa4YWpJaO3JtBbLa227uHHPKf71N+7jM2/7Fjmpo+t+Rgu1ldtZS5BEJBX4PvAHxphLilNE5MMiclREjs4aO3dFwdTWm0Fe9hiJ8XPWYmjuyqK8MDhFpRsdWm0ayONzj/8a//PGn/J/7n2Aggw7xa26jNWeSDunwV11SPVtOewptrMvWvtwDh/82sf4xyfvZXY+lut3n7ESh1LBZCVBEpE4fMnRA8aYH6z0HmPM/caYI8aYI/GS6GyAITA7F0tDezYHdvVai6G+PZvdO+11/321rYKPfPN3OdlRypfe81U+cP1TJMTObvr73Fio3dKRbzsE14q0cxp8DSPdsi/b2dZc9pX0WTv+8FQaDX0FvNBwQPsiqYhgYxWbAP8BnDHG/KPTx7epttHuJpf1bdlUWEyQAOa9sTx47Ho+8s3fZUf6CJ9/x9etxrOW4Z402yEol6ttzKOyogc3bLVxtiWHvUFOkDZThFvbUUJlYStu+DtRaitsjCBdD/wmcIuIHPf/3G0hDsedtDwc3zuURnzcgrV+SEsNTabz+Sd+jaLMATKSJ8KiHuFEf4HtEJTLDIykMjUdR0me/Tqk7oF0EuLnyUq3ey71T2zj/Fw8JdvXn+4Lh/NeRS8bq9heMMaIMabaGHPY//OY03HYcLp5B+VFg8THzVuKQKhvz6Zip506heW8xsOprmIdjldhzVeH5IbiNqGuNZd9pfam2RbVuGiTaqU2SztpO2hmNo6WriyrF7CGINYhBaMHxsmO0i0lSMGsQ0roiQvad6no4aZC7bOtuewtsX8DdFKX/YeMG2svI5UmSA6racyzugv4ubYcdhfbrUNayreRbYvtMJTatJqGxdpC+zU3dS057hhBurBB9fp/JzrNptxKEySH1TTkW90FPJgjSMHQ0JfPjvQR0hLt10UptRm9Q2nML3gozFm/90+o1bXmsnvnQFCbV25mpLhnNBOv10OhpXYeSgWDJkgOO9WUx57iAeJi7QyT9g6lEhfrjkJtgAVvDGe6d/pXvSgVjoSaRnfUIU2cT2BwNJmSfNtF48JJ3aRahTlNkBw2NR1PR982aw3dQKhvy2a3teNfqqajxNE6JG0WqYKtpiHf6tT5Umdb3FGHVNNRSqUmSCqMaYJkge2iznNtOa4q1F7cp01rEVS4er2FhwvqkNyykq2zhOrCFrQOSYUrTZAsqGnMs54g2RvButS53kKKMgdIjo+M7SdU9OnqTyfG42VH1rjtUDjbEvyO2pu5EeoY3k5szAI70keCGotSTtEEyYLaxjz2lfYR47GzeW19e7Y/QbJ/twswtxBLXU8hlYVtm/4OXfqq7BJONuRT7YI6pOauLHZsHyc5cfPb+ASHUNNRSrWuUlVhShMkCyamEukdTLO27cfASAper5CT6Z5h7ZOdW+uH5LTnR/bYDkG5jK9Q234d0oLXQ1PHdna7oCHsRgq1dZpNuY0mSJbYrUMSzrW7a5qtpkP7IanwZru2cKmzrqlDKtUVqipsaYJkiRsaRgYrQQpGofbZ7iJKt/eRFDMThIiUcl5bTwZJiXNkZ0zYDsVXh1Rq/waobTCblIRpslPt94hSaqM0QbKkpiGfA2W9QW3othH1bdmuGkGaXYijsT+fyu0tm/4OrUNSdgm1DXmu6Ifk23Kkj2DWGW7mRsjg8Y8O6zRbMOm1zhmaIFkyOpHE4FgyuwqHrBz/XFuOvwbKHYXa4KtXuCq+znYYSm1aTUO+f9sRu/qHU8BAbqb90ayaTi3UVuFJEySLbNYsjE4kMTUdT0HOmJXjr6Smo9SxDS61WaQKhZOuaRgprqlDOrnFRrBK2aIJkkW+4fjIqEMKhtPdRZTndBPvmdv0d+jQs7KptTuTbanTrtjKx1eHZD9BahnYQUbyJJnJ9ntEKbURmiBZdLIhn8ryHkTsTHMFsw4pGIXa03MJtAzmcnC7e+42h3vSbIegwojXeDjVtMPqhtSLfHVIwb0B2sx57jUeTnUVax2SCjuaIFk0NJbC+GQCJXl2NpZ02wgS+KbZLstush2GUpvm23bE/hxufVs2uwoHiY2xP6q61f0WlbJBEyTLbDaXq2/PZlfhkLWVdCs52VHCIYsJUkJPnLVjq8jglkLt8zPx9AymUVZgZyHIUicdrC9UKlg0QbKspsFeP6TJ8wkMjSWxM2/EyvFXcqqrmAMZbcR55jf9HVqHpGxq7NxOTuYE6Sn29xZ0Sx1SQ18euWkjpCcGNn2m02zKDTRBsqzGX4dka7l9fVsOeyxtebKSqdlEOoaz2Z/ZbjuUgD01VWE7BOUiXq+H0807XDGKVHehH1LwbK4OKYYz3Ts3tN+iJknKNk2QLOsbTmN2LoadO0asHP9cWw57glTIGYxCbfBNsx3WOiQVxmoa8ql0QR2SW0aQwDfNpv2QVDjRBMkFTjbkU1Vu52J6ri3bFZtaLlXTUcqhnK0lSDrNpmxyy75sbT0ZZKafJzXZ/nRfTUfJhvdl01EkZZMmSC5gs1C7sSOb0vxhV6x0WVTbWUxlVisxEtqYtFmkCpX69mwKssdITbK7t6DXeKhvyw76cv/NONdbQGHmECkJ5zf0OU2SVqY3gaGnCZIL1FxoGOl8HdL0bBw9g2mU5ttpNbCS8Zlkuqcy2ZsRnCk7pZw2vxBDXWsOBy2NDC9V15rLPhfUIc17Y6nrKaSyIPA6pEWaJCkbNEFyge6BdADys+1s++HGfkjH+8s5nNNoOwylNs0ty/3dVIe0kY1rl9MkSTlNEyRXEH/Ngp27zfr2bHa7qKM2wJmzBVsu1NYhaGWTWxpG1l3oqG1/Y+qtFmprkqScpAmSS9i826xrdd8IUk1HCVXbW/DgniaWSm1EXWsOxXnDJCXMWo1jaCyZ8zNxrtiY+mxPISXb+0mKs1ubpdxLRO4UkToRaRCRT63wuojI//W/flJELg9VLJoguURNo72Gkc1dWRTmjhIft/nmjME2ej6Vwel0KjK6bIei1KbMzcdS357NgV29tkOhrjWH/UGeZtvMaPHcQhz1vfkcKNh8nzMdRYpcIhIDfBm4CzgAvFdEDix7213Abv/Ph4H7QhWPJkgu0d6bQXzcArmZzu94PTcfS3tvJuWFg44fey3HB3a5bprtRH9BUL9PRbaahnxrNz5LnW0JfsPIzQpGP6TlSVJK22RQfpR1VwENxpgmY8ws8B3g3mXvuRf4hvF5CcgQkfxQBKMJkmsIL5woIzdrwsrRj54uIj3Vfq+UpV7p3UNq3MaWBCvlJsfPFZKcOGc7DE437yAu1h01ecfby0iO3/oUWygSG02grCsElg4vdvif2+h7gkKMsV+4tx4R6QdCtdNhNuCevTYCp3E7S+O+VIkxJmczH9RzekUat7M07pUFdF6LyBP+WDYiEVh6J36/Meb+Jd/5TuBNxpgP+R//JnCVMeZjS97zKPBZY8wL/sdPA39mjDm2wVjWFRvsLwyFzV6EAyEiR40xR0L1/aGicTtL4w4uPacvpXE7S+PeGmPMnSH42g5g55LHRcDyQtRA3hMUOsWmlFJKKTf4FbBbRMpEJB54D/DQsvc8BPyWfzXbNcCoMSYkhX5hMYKklFJKqchmjJkXkd8HfgLEAP9pjDklIh/xv/4V4DHgbqABmAI+EKp4NEGC+9d/iytp3M7SuMNHuP4/a9zO0rhdyBjzGL4kaOlzX1nyZwP8nhOxhEWRtlJKKaWUk7QGSSmllFJqmahLkEQkRkReE5FH/I+zRORJEan3/zfTdozLiUiLiNSIyHEROep/LhzizhCRB0XkrIicEZFr3R63iOz1/z0v/oyJyB+4PW4AEflDETklIrUi8m0RSQyHuLcqHM9p0PPaSXpeq82IugQJ+ARwZsnjTwFPG2N2A0/7H7vRzcaYw0uWd4ZD3P8MPGGM2Qccwvf37uq4jTF1/r/nw8AV+IoAf4jL4xaRQuDjwBFjTCW+Asf34PK4gyRcz2nQ89oRel6rTTHGRM0Pvn4JTwO3AI/4n6sD8v1/zgfqbMe5QtwtQPay51wdN5AONOOvcwuXuJfFegfwi3CIm9e7y2bhW3zxiD9+V8cdhP/vsDyn/bHpeW3n/0HPa/0J6CfaRpC+BPwZXLRF/A7j76Hg/2+uhbjWY4CfisgxEfmw/zm3x70L6Ae+5p/++KqIpOD+uJd6D/Bt/59dHbcxphP4AtAGdOPrDfJTXB53EHyJ8DynQc9rW/S8VgGJmgRJRN4C9JkQtCN3wPXGmMvx7WL8eyJyo+2AAhALXA7cZ4y5DJgkjIaB/U3K7gH+23YsgfDXINwLlAEFQIqIvM9uVKEV5uc06HntOD2v1UZETYIEXA/cIyIt+HYIvkVEvgX0in8nYP9/3bHl9RLGmC7/f/vwzZtfhfvj7gA6jDEv+x8/iO/C6va4F90FvGqM6fU/dnvctwHNxph+Y8wc8APgOtwf91aE7TkNel5boue1CljUJEjGmD83xhQZY0rxDbE+Y4x5H7625e/3v+39wI8thbgiEUkRkbTFP+Obf67F5XEbY3qAdhHZ63/qVuA0Lo97iffy+jA8uD/uNuAaEUkWEcH3930G98e9aeF6ToOe1xbpea0CFpWNIkXkJuBPjDFvEZHtwPeAYnz/GN9pjBmyGN5FRGQXvrtL8A1v/5cx5m/dHjeAiBwGvgrEA034WsJ7cH/cyfgKI3cZY0b9z4XD3/f/Bt4NzAOvAR8CUnF53MEQTuc06Hltg57XaqOiMkFSSimllFpL1EyxKaWUUkoFShMkpZRSSqllNEFSSimllFpGEySllFJKqWU0QVJKKaWUWkYTJKWUUkqpZTRBUgCIyMQ6r2eIyEeXPC4QkQf9fz4sIndv4ph/IyJ/ssH3d4rI//E/9ojIN0TkRRE56H/uDSJyWkRqNxqPUpFEz2mltkYTJBWoDODCxdQY02WMeYf/4WFgwxfTTfonY8xf+f98B/Ay8Hbgj/1xPe9gLEqFswz0nFZqVZogqYuISKqIPC0ir4pIjYjc63/p74FyETkuIv8gIqUiUuvf/PH/AO/2v/bu5XeR/veV+v/8FyJSJyJPAXuXvKdcRJ7w72z+vIjsCyDcGHy7uHsBCc7fgFKRRc9ppTYn1nYAynWmgbcbY8ZEJBt4SUQewrdjd6Ux5jDA4sXRGDMrIn8FHDHG/L7/tb9Z6YtF5Ap8e2Zdhu/f3qvA4k7s9wMfMcbUi8jVwL8Ct6wT60+AbwG/BXx4U/+3SkU+PaeV2gRNkNRyAvydiNyI7y6uENgRpO9+A/BDY8wUgP8ijYik4tuh+r99+zECkLDelxlj5vFdnJVSq9NzWqlN0ARJLfcbQA5whTFmTkRagMQNfsc8F0/fLv38Spv/eYCRxTtZpVRQ6Tmt1CZoDZJabhvQ57+Q3gyU+J8fB9JW+czy11qAywFE5HKgzP/8z4G3i0iSiKQBbwUwxowBzSLyTv9nREQOBe9/Samopue0UpugCZJa7gHgiIgcxXfneRbAGDMI/MJfnPkPyz7zM+DAYkEn8H0gS0SOA78LnPN/x6vAd4Hj/vc8v+Q7fgP4HRE5AZwC7kUpFQx6Tiu1CWLMSqOjSrmPv1B0whjzhXXeVwo8YoypdCIupdTm6Dmt3ExHkFQ4mQA+vNhUbiUi8gbgYWDAsaiUUpul57RyLR1BUkoppZRaRkeQlFJKKaWW0QRJKaWUUmoZTZCUUkoppZbRBEkppZRSahlNkJRSSimllvn/AYWZ1VEH4ledAAAAAElFTkSuQmCC\n",
-      "text/plain": [
-       "<Figure size 576x864 with 6 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# hovmoeller plots of snow thickness\n",
-    "fig, ax = plt.subplots(2,2,figsize=(8,12), sharey = True, sharex = True, constrained_layout=True)\n",
-    "axind=0\n",
-    "\n",
-    "colors1 = np.linspace(0.0, 1.0, 12)\n",
-    "colors = np.append(\"darkblue\",colors1.astype(\"str\"))\n",
-    "\n",
-    "#ticks=[0,0.01, 0.5,1,1.5,2,2.5,3,3.5,4,4.5,5,10,20]\n",
-    "ticks=np.linspace(0,2,11)\n",
-    "\n",
-    "cmap= mpl.colors.ListedColormap(colors)\n",
-    "norm = mpl.colors.BoundaryNorm(ticks, cmap.N)\n",
-    "\n",
-    "\n",
-    "for ind in [1,0]:\n",
-    "    hs_Wzm = get_var(winton_zmsimarray[ind], \"hs_icecl\")\n",
-    "    hs_Szm = get_var(semtner_zmsimarray[ind], \"hs_icecl\")\n",
-    "    \n",
-    "    sic_Wzm = get_var(winton_zmsimarray[ind], \"sic\")\n",
-    "    sic_Szm = get_var(semtner_zmsimarray[ind], \"sic\")\n",
-    "    \n",
-    "    hs_Wzmmean = selmonmean(hs_Wzm, 40)\n",
-    "    hs_Szmmean = selmonmean(hs_Szm, 40)\n",
-    "    sic_Wzmmean = selmonmean(sic_Wzm, 40)\n",
-    "    sic_Szmmean = selmonmean(sic_Szm, 40)\n",
-    "    \n",
-    "    f1 = ax[axind,0].contourf(hs_Wzmmean.lat,hs_Wzmmean.month, hs_Wzmmean,levels = ticks)\n",
-    "    f2 = ax[axind,1].contourf(hs_Szmmean.lat,hs_Szmmean.month, hs_Szmmean,levels = ticks)\n",
-    "    \n",
-    "    c1 = ax[axind,0].contour(sic_Wzmmean.lat,sic_Wzmmean.month, sic_Wzmmean, levels=[0,0.5,0.999999],colors=\"orange\",linewidths=1)\n",
-    "    c2 = ax[axind,1].contour(sic_Szmmean.lat,sic_Szmmean.month, sic_Szmmean, levels=[0,0.5,0.999999],colors=\"orange\",linewidths=1)\n",
-    "    plt.clabel(c1,fmt='%1.1f',colors=\"orange\")\n",
-    "    plt.clabel(c2,fmt='%1.1f',colors=\"orange\")\n",
-    "    \n",
-    "    ax[axind,0].set_xlim(35,85)\n",
-    "    ax[axind,0].set_title(winton_exparray[ind])\n",
-    "    ax[axind,1].set_title(semtner_exparray[ind])\n",
-    "    cbar = plt.colorbar(f2,ax=ax[axind,1])\n",
-    "    cbar.set_label(\"snow thickness [m]\")\n",
-    "    axind+=1\n",
-    "ax[0,0].set_ylabel(\"month\")\n",
-    "ax[1,0].set_ylabel(\"month\")\n",
-    "ax[1,0].set_xlabel(\"latitude [°]\")\n",
-    "ax[1,1].set_xlabel(\"latitude [°]\")"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 24,
@@ -1072,96 +997,6 @@
     "plt.savefig(\"plots/hovmoeller_rsutcs_multi.png\",dpi=300)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[-35.  -32.5 -30.  -27.5 -25.  -22.5 -20.  -17.5 -15.  -12.5 -10.   -7.5\n",
-      "  -5.   -2.5   0.    2.5   5. ]\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 432x432 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# hovmoeller plots of reflected sw radiation\n",
-    "fig, ax = plt.subplots(1,1,figsize=(6,6))\n",
-    "var=\"rsutcs\"\n",
-    "ind=1\n",
-    "\n",
-    "ticks=np.linspace(-35,5,17)\n",
-    "#ticks=np.linspace(-55,5,13)\n",
-    "print(ticks)\n",
-    "reds = mpl.cm.get_cmap('Reds', np.size(ticks)-3)\n",
-    "blues = mpl.cm.get_cmap('Blues_r', np.size(ticks)-3)\n",
-    "\n",
-    "\n",
-    "newcolors2 = reds(np.linspace(0, 1, np.size(ticks)-3))\n",
-    "newcolors = blues(np.linspace(0, 1, np.size(ticks)-3))\n",
-    "newcolors = np.vstack((newcolors, newcolors2[:2,:]))\n",
-    "\n",
-    "cmap = mpl.colors.ListedColormap(newcolors, name='newcmap')\n",
-    "\n",
-    "\n",
-    "albedo_Wzm = get_albedo(winton_zmsimarray[ind])\n",
-    "albedo_Szm = get_albedo(semtner_zmsimarray[ind])\n",
-    "\n",
-    "sic_Wzm = get_var(winton_zmsimarray[ind], \"sic\")\n",
-    "sic_Szm = get_var(semtner_zmsimarray[ind], \"sic\")\n",
-    "\n",
-    "rsutcs_Wzm = get_var(winton_zmsimarray[ind], var)\n",
-    "rsutcs_Szm = get_var(semtner_zmsimarray[ind], var)\n",
-    "\n",
-    "albedo_Wzmmean = selmonmean(albedo_Wzm, 40)\n",
-    "albedo_Szmmean = selmonmean(albedo_Szm, 40)\n",
-    "sic_Wzmmean = selmonmean(sic_Wzm, 40)\n",
-    "sic_Szmmean = selmonmean(sic_Szm, 40)\n",
-    "rsutcs_Wzmmean = selmonmean(rsutcs_Wzm, 40)\n",
-    "rsutcs_Szmmean = selmonmean(rsutcs_Szm, 40)\n",
-    "\n",
-    "#f1 = ax[axind,0].contourf(rsutcs_Wzmmean.lat,rsutcs_Wzmmean.month, rsutcs_Wzmmean, levels=ticks)\n",
-    "f2 = ax.contourf(rsutcs_Szmmean.lat,rsutcs_Szmmean.month, rsutcs_Szmmean-rsutcs_Wzmmean, levels=ticks,cmap=cmap)\n",
-    "\n",
-    "c1 = ax.contour(sic_Wzmmean.lat,sic_Wzmmean.month, sic_Wzmmean, levels=[0,0.5,0.999999999],colors=\"C1\",linewidths=1.5)\n",
-    "c2 = ax.contour(sic_Szmmean.lat,sic_Szmmean.month, sic_Szmmean, levels=[0,0.5,0.999999999],colors=\"C0\",linewidths=1.5)\n",
-    "plt.clabel(c1,fmt='%1.1f',colors=\"C1\")\n",
-    "plt.clabel(c2,fmt='%1.1f',colors=\"C0\")\n",
-    "\n",
-    "ax.set_xlim(35,70)\n",
-    "cbar = plt.colorbar(f2)\n",
-    "cbar.set_label(\"$\\Delta$TOA SW as out [Wm$^{-2}$]\")\n",
-    "\n",
-    "ax.set_ylabel(\"Month\")\n",
-    "ax.set_xlabel(\"Latitude [°]\")\n",
-    "\n",
-    "\n",
-    "\n",
-    "plt.savefig(\"plots/hovmoeller_\" +var +\".png\",dpi=300)\n",
-    "plt.savefig(\"plots/hovmoeller_\" +var +\".pdf\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": 27,
@@ -1181,7 +1016,7 @@
     }
    ],
    "source": [
-    "# hovmoeller plots of reflected sw radiation\n",
+    "# hovmoeller plots of reflected sw radiation: Paper version\n",
     "fig, ax = plt.subplots(1,3,figsize=(6,3), sharey = True, sharex = True)\n",
     "\n",
     "labelsize=8\n",
@@ -1298,391 +1133,6 @@
     "plt.savefig(\"plots/hovmoeller_albedo_\" +var +\".png\",dpi=300)\n",
     "plt.savefig(\"plots/hovmoeller_albedo_\" +var +\".pdf\")"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 90,
-   "metadata": {},
-   "outputs": [
-    {
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-       "\n",
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-       "\n",
-       ".xr-section-summary > span {\n",
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-       "  padding-left: 0.5em;\n",
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-       "\n",
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-       "  color: var(--xr-font-color2);\n",
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-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: '►';\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
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-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
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-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
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-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
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-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2 {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;rsut&#x27; ()&gt;\n",
-       "array(31.93481445)\n",
-       "Coordinates:\n",
-       "    lon      float64 0.0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'rsut'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5532f940-bd3b-4677-9523-5c8c56facc0c' class='xr-array-in' type='checkbox' checked><label for='section-5532f940-bd3b-4677-9523-5c8c56facc0c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>31.93</span></div><div class='xr-array-data'><pre>array(31.93481445)</pre></div></div></li><li class='xr-section-item'><input id='section-f921da2b-933c-4b76-ab88-f12b4d01001b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f921da2b-933c-4b76-ab88-f12b4d01001b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-89700667-9956-4927-a6de-1766cf6085b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89700667-9956-4927-a6de-1766cf6085b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7e5974b-ae35-4438-93aa-a961231721cd' class='xr-var-data-in' type='checkbox'><label for='data-c7e5974b-ae35-4438-93aa-a961231721cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e329dbd2-ef2d-4230-b54a-f189584e8140' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e329dbd2-ef2d-4230-b54a-f189584e8140' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'rsut' ()>\n",
-       "array(31.93481445)\n",
-       "Coordinates:\n",
-       "    lon      float64 0.0"
-      ]
-     },
-     "execution_count": 90,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/python_scripts/Winton_artificial_forcing.ipynb b/python_scripts/Winton_artificial_forcing.ipynb
index a49fd6634ff81e9e97ec389e6759277e60596623..10aca4e652b6c38fea960d7e918369fdc860c9ac 100644
--- a/python_scripts/Winton_artificial_forcing.ipynb
+++ b/python_scripts/Winton_artificial_forcing.ipynb
@@ -17,7 +17,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -29,9 +29,16 @@
     "import pylab as pl"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Constants"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -67,13 +74,19 @@
     "muS       = 0.054 * 5.0  # constant of linear salt - freezing point relationship * Sea ice bulk salinity [°C]\n",
     "\n",
     "hcilayer  = 0.1       # thickness of stabilizing constant heat capacity layer [m]\n",
-    "\n",
-    "print(muS)"
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Functions"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -112,9 +125,16 @@
     "    return legend"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Winton model (including calculation of surface fluxes)"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 77,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -137,7 +157,6 @@
     "\n",
     "    # surface energy flux balance \n",
     "    # longwave incoming + longwave outgoing  + shortwave balance + latent heat flux + sensible heat flux\n",
-    "    # in ICON: addition of zemissdef\n",
     "    SWnet = rsds * (1-albedo)\n",
     "    FS = 1* ( zemissdef *(rlds  - sigma* (Tsurfold+Tmelt)**4 )  +  SWnet*(1-I)    +   lhflx   +   shflx ) #UPWARD flux!\n",
     "    dFS = -4 * zemissdef * sigma * (Tsurfold+Tmelt)**3\n",
@@ -145,15 +164,9 @@
     "    #print(\"FS  = \" +str(FS) +\" W/m^2\")\n",
     "    #print(\"dFS = \" +str(dFS)  +\" + \" +str(rhoi * hcilayer /dtime *ci) +\" W/(m^2K)\")\n",
     "    \n",
-    "    return FS, dFS, SWnet, I, Tsurfmelt "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
+    "    return FS, dFS, SWnet, I, Tsurfmelt \n",
+    "\n",
+    "\n",
     "# 2.a) temperature calculation\n",
     "def set_ice_temp(Tsurfold, T1old, T2old, hiold, hsold, FS, dFS, SWnet, I, Tsurfmelt, c_stability=True):\n",
     "#    if hsold>1e-6: \n",
@@ -226,15 +239,10 @@
     "    #print(\"T1:    \" +str(T1old) +\" -> \" +str(T1_ICON) +\" °C\")\n",
     "    #print(\"T2:    \" +str(T2old) +\" -> \" +str(T2_ICON) +\" °C\")\n",
     "    \n",
-    "    return Tsurf, T1, T2, Qbot, Qtop"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [],
-   "source": [
+    "    return Tsurf, T1, T2, Qbot, Qtop\n",
+    "\n",
+    "\n",
+    "\n",
     "# 2.b) ice thickness calculation\n",
     "\n",
     "def ice_growth(hiold, hsold, Tsurf, T1, T2, Qbot, Qtop, prls, prcs):\n",
@@ -287,20 +295,24 @@
     "    hi = h1+h2\n",
     "\n",
     "    # snow ice conversion\n",
-    "    dhs = -max((hs - ((rhow-rhoi)/rhos)*hi)*(rhoi/rhow),0)\n",
-    "    dh1 = -dhs\n",
-    "    if dhs<0:\n",
+    "    \n",
+    "    draft = (rhoi*hi + rhos*hs)/rhow\n",
+    "    below_water = draft - hi\n",
+    "    \n",
+    "    if (below_water>0):\n",
     "        print(\"convert snow to ice\")\n",
-    "\n",
+    "        snow_to_ice = below_water * rhoi/rhos\n",
+    "        \n",
+    "        hs = hs - snow_to_ice\n",
+    "        \n",
     "        # adjust T1 due to incorporation of zero heat capacity snow\n",
-    "        f1 = h1/(h1+dh1)\n",
+    "        f1 = h1/(h1+below_water)\n",
     "        Tbar = f1 * (T1- (L/ci) * (muS/T1)) + (1-f1)*(-muS)        # (39) with T2=-muS\n",
     "        T1 = (Tbar - (Tbar**2 + 4*muS*L / ci)**0.5)/2              # (38)\n",
     "\n",
-    "\n",
-    "        hs += dhs\n",
-    "        h1 += dh1\n",
+    "        h1 = h1 + below_water\n",
     "        hi = h1+h2\n",
+    "        \n",
     "\n",
     "    # even up h1 & h2 and change temperature accordingly\n",
     "    if h1>h2:\n",
@@ -336,9 +348,16 @@
     "    return hi, hs, T1, T2, fluxres_w"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Semtner 0L model (including calculation of surface fluxes)"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -407,12 +426,32 @@
     "        \n",
     "    hi = hi - dtime * Qbot / (L*rhoi) # Qbot=-F_S; alf*rhoi = qi\n",
     "    \n",
+    "        # snow ice conversion\n",
+    "    \n",
+    "    draft = (rhoi*hi + rhos*hs)/rhow\n",
+    "    below_water = draft - hi\n",
+    "    \n",
+    "    if below_water>0:\n",
+    "        print(\"convert snow to ice\")\n",
+    "        snow_to_ice = below_water * rhoi/rhos\n",
+    "        hs = hs - snow_to_ice\n",
+    "\n",
+    "       \n",
+    "        hi = hi + below_water\n",
+    "\n",
     "    return hi, hs"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Albedo calculation (optional)"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 78,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -439,41 +478,18 @@
     "            "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Initial conditions"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 80,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[ -86400.  -85800.  -85200. ... 2677200. 2677800. 2678400.]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x2abbf1b7eeb8>]"
-      ]
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# initial conditions\n",
     "init_Tsurf = -10\n",
@@ -511,14 +527,7 @@
     "    init_T2 = -1.9\n",
     "    init_Tsurf = -3\n",
     "    init_hi = 4\n",
-    "    \"\"\"\n",
-    "    rlds = 0\n",
-    "    shflx = 150 \n",
-    "    rsds = 800\n",
-    "    init_T1 = -4.5\n",
-    "    init_T2 = -2.5\n",
-    "    init_Tsurf = -3\n",
-    "    init_hi = 1\"\"\"\n",
+    "    init_hs = 0\n",
     "elif initial_conditions==\"melting_snow\":\n",
     "    rlds = 0\n",
     "    shflx = 150\n",
@@ -613,10 +622,8 @@
     "spinupdays = 1\n",
     "time_artificial=np.linspace(-int(spinupdays),int(days),(days+spinupdays)* int((60 * 60 * 24)/dtime)+1) # timestep has to be 600s = 10m = 1/6h = 1/144d \n",
     "                                                                     # = dtime / (60 * 60 * 24)\n",
-    "print(time_artificial*24*60*60)\n",
     "rsds_array_artificial = rsds*np.sin(time_artificial*2*np.pi-np.pi/2)\n",
-    "rsds_array_artificial[rsds_array_artificial<0]=0\n",
-    "plt.plot(time_artificial,rsds_array_artificial)"
+    "rsds_array_artificial[rsds_array_artificial<0]=0\n"
    ]
   },
   {
@@ -630,7 +637,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 81,
    "metadata": {
     "scrolled": true
    },
@@ -693,9 +700,7 @@
     "    hi, hs, T1, T2, fluxres_w = ice_growth(hi, hs, Tsurf, T1, T2, Qbot, Qtop, prls, prcs)\n",
     "    #albedo = set_albedo(hi, hs, Tsurf)\n",
     "    #print(\"time=\", str(time_artificial[i]), \" Tsurf=\", str(Tsurf))\n",
-    "    \n",
-    "    \n",
-    "    #hi, hs, T1, T2, fluxres_w = ice_growth(hi, hs, tsurf_array.values[tind+i,lind], t1_array.values[tind+i,lind], t2_array.values[tind+i,lind], qbot_array.values[tind+i,lind], qtop_array.values[tind+i,lind], prls_array.values[tind+i,lind], prcs_array.values[tind+i,lind])\n",
+    "\n",
     "    \n",
     "    # assign results to final array\n",
     "    hi_result.append(hi)\n",
@@ -726,7 +731,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 82,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -778,12 +783,8 @@
     "    #Qtop=0\n",
     "    hi, hs = ice_growth_semtner(hi, hs, Tsurf, Qbot, Qtop, prls, prcs)\n",
     "    #albedo = set_albedo(hi, hs, Tsurf)\n",
-    "    #hi, hs = ice_growth(hi, hs, tsurf_array.values[tind+i,lind], qbot_array.values[tind+i,lind], qtop_array.values[tind+i,lind], prls_array.values[tind+i,lind], prcs_array.values[tind+i,lind])\n",
     "\n",
     "    \n",
-    "    \n",
-    "    #hi, hs, T1, T2, fluxres_w = ice_growth(hi, hs, tsurf_array.values[tind+i,lind], t1_array.values[tind+i,lind], t2_array.values[tind+i,lind], qbot_array.values[tind+i,lind], qtop_array.values[tind+i,lind], prls_array.values[tind+i,lind], prcs_array.values[tind+i,lind])\n",
-    "    \n",
     "    # assign results to final array\n",
     "    hi_result_Semtner.append(hi)\n",
     "    hs_result_Semtner.append(hs)\n",
@@ -800,102 +801,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "(0, 1)"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "\n",
-    "l0, = plt.plot(time_artificial[1:],-np.array(FS_result_Semtner)-np.array(FA_result_Semtner))\n",
-    "l1, = plt.plot(time_artificial,Qtop_result_Semtner)\n",
-    "#l2, = plt.plot(time_artificial,Qbot_result_Semtner)\n",
-    "plt.xlim(0,1)\n",
-    "plt.legend([l0, l1],[\"F$_S$ +F$_A$\", \"Qtop\"])\n",
-    "plt.xlabel(\"time [days]\")\n",
-    "plt.ylabel(\"F [Wm$^2$]\")\n",
-    "plt.title(\"Semtner surface fluxes\")\n",
-    "plt.show()\n",
-    "\n",
-    "#plt.plot(time_artificial,rsds_array_artificial)\n",
-    "plt.plot(time_artificial,Tsurf_result)\n",
-    "plt.plot(time_artificial,Tsurf_result_Semtner)\n",
-    "plt.xlim(0,1)\n",
-    "\n",
-    "plt.show()\n",
-    "\n",
-    "plt.plot(time_artificial,Qtop_result)\n",
-    "plt.plot(time_artificial,Qtop_result_Semtner)\n",
-    "plt.xlim(0,1)\n",
-    "\n",
-    "plt.show()\n",
-    "#plt.plot(time_artificial[1:],FA_result_Semtner)\n",
-    "#plt.plot(time_artificial[1:],SWnet_result)\n",
-    "#plt.plot(time_artificial[1:],SWnet_result_Semtner)\n",
-    "plt.plot(time_artificial[1:],-np.array(FS_result_Semtner)-np.array(FA_result_Semtner))\n",
-    "plt.xlim(0,1)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 84,
    "metadata": {},
    "outputs": [
     {
@@ -1072,247 +978,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# quantify radiative forcing due to change in albedo\n",
-    "rad_absorbed_winton = rsds_array_artificial * albedo_result\n",
-    "rad_absorbed_semtner = rsds_array_artificial * albedo_result_Semtner\n",
-    "\n",
-    "\n",
-    "\n",
-    "# plot absorbed radiation\n",
-    "fig, (ax1) = plt.subplots(nrows=1,sharex=True,figsize=(12,6))\n",
-    "plt.subplots_adjust(hspace=0)\n",
-    "\n",
-    "ax1.plot(time_artificial,rad_absorbed_winton,'r-')\n",
-    "ax1.plot(time_artificial,rad_absorbed_semtner,'r--')\n",
-    "ax1.set_xlabel(\"time [days]\")\n",
-    "ax1.set_ylabel(\"absorbed radiation [W/m²]\")\n",
-    "plt.legend([\"winton\", \"Semtner\"])\n",
-    "ax1.set_title(titlestr)\n",
-    "ax1.ticklabel_format(axis='both', style='plain',useOffset=False)\n",
-    "plt.show()\n",
-    "\n",
-    "rad_forcing_dif = rad_absorbed_winton -rad_absorbed_semtner\n",
-    "\n",
-    "# plot difference \n",
-    "fig, (ax1) = plt.subplots(nrows=1,sharex=True,figsize=(12,6))\n",
-    "plt.subplots_adjust(hspace=0)\n",
-    "\n",
-    "ax1.plot(time_artificial,rad_forcing_dif,'-')\n",
-    "ax1.set_xlabel(\"time [days]\")\n",
-    "ax1.set_ylabel(\"difference in absorbed radiation [W/m²]\")\n",
-    "plt.legend([\"Winton - Semtner\"])\n",
-    "ax1.set_title(titlestr)\n",
-    "ax1.ticklabel_format(axis='both', style='plain',useOffset=False)\n",
-    "plt.show()\n",
-    "\n",
-    "print(np.mean(rad_forcing_dif))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "21.345832983984515\n",
-      "10.570061995624597\n",
-      "-5.320920984823984\n",
-      "0.021282371630332003\n",
-      "3.9265472871559473\n",
-      "3.9442638137473938\n"
-     ]
-    }
-   ],
-   "source": [
-    "# plots for presentation\n",
-    "# qtop\n",
-    "fig, (ax1) = plt.subplots()\n",
-    "plt.subplots_adjust(hspace=0)\n",
-    "\n",
-    "\n",
-    "ax1.plot(time_artificial,Qtop_result_Semtner,color='C0',linestyle='-')\n",
-    "ax1.plot(time_artificial,Qtop_result,color='C1',linestyle='-')\n",
-    "ax1.legend([\"Semtner\",\"Winton\"],loc=1)\n",
-    "ax1.set_ylabel(\"Qtop [Wm$^{-2}$]\")\n",
-    "#ax1.set_xticks([3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24])\n",
-    "ax1.ticklabel_format(axis='both', style='plain',useOffset=False)\n",
-    "#ax1.set_ylim(0,400)\n",
-    "ax1.set_xlim(0,days)\n",
-    "\n",
-    "\n",
-    "ax1.set_xlabel(\"time [days]\")\n",
-    "ax1.set_xlim(0,days)\n",
-    "plt.savefig(\"plots/model_qtop_{}.svg\".format(initial_conditions),dpi=500)\n",
-    "\n",
-    "plt.show()\n",
-    "\n",
-    "# plots for presentation\n",
-    "# qbot\n",
-    "fig, (ax1) = plt.subplots()\n",
-    "plt.subplots_adjust(hspace=0)\n",
-    "\n",
-    "\n",
-    "ax1.plot(time_artificial,Qbot_result_Semtner,color='C0',linestyle='-')\n",
-    "ax1.plot(time_artificial,Qbot_result,color='C1',linestyle='-')\n",
-    "ax1.legend([\"Semtner\",\"Winton\"],loc=1)\n",
-    "ax1.set_ylabel(\"Qbot [Wm$^{-2}$]\")\n",
-    "ax1.hlines(0,time_artificial[0],time_artificial[-1],'black',lw=1) \n",
-    "#ax1.set_xticks([3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24])\n",
-    "ax1.ticklabel_format(axis='both', style='plain',useOffset=False)\n",
-    "\n",
-    "\"\"\"if initial_conditions==\"melting\":\n",
-    "    ax1.set_ylim(-3.2,3.2)\n",
-    "elif initial_conditions==\"freezing\":\n",
-    "    ax1.set_ylim(-20,4)\"\"\"\n",
-    "\n",
-    "ax1.set_xlabel(\"time [days]\")\n",
-    "ax1.set_xlim(0,days)\n",
-    "plt.savefig(\"plots/model_qbot_{}.svg\".format(initial_conditions),dpi=500)\n",
-    "\n",
-    "plt.show()\n",
-    "\n",
-    "\n",
-    "# hi\n",
-    "fig, (ax1) = plt.subplots()\n",
-    "plt.subplots_adjust(hspace=0)\n",
-    "\n",
-    "\n",
-    "ax1.plot(time_artificial,hi_result_Semtner,color='C0',linestyle='-')\n",
-    "ax1.plot(time_artificial,hi_result,color='C1',linestyle='-')\n",
-    "ax1.legend([\"Semtner\", \"Winton\"])\n",
-    "ax1.set_ylabel(\"hi [m]\")\n",
-    "#ax1.set_xticks([3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24])\n",
-    "ax1.ticklabel_format(axis='both', style='plain',useOffset=False)\n",
-    "\n",
-    "#ax1.set_ylim(3.3,4)\n",
-    "\n",
-    "ax1.set_xlabel(\"time [days]\")\n",
-    "ax1.set_xlim(0,days)\n",
-    "plt.savefig(\"plots/model_hi_{}.svg\".format(initial_conditions),dpi=500)\n",
-    "\n",
-    "plt.show()\n",
-    "\n",
-    "\n",
-    "# hs\n",
-    "fig, (ax1) = plt.subplots()\n",
-    "plt.subplots_adjust(hspace=0)\n",
-    "\n",
-    "\n",
-    "ax1.plot(time_artificial,hs_result_Semtner,color='C0',linestyle='-')\n",
-    "ax1.plot(time_artificial,hs_result,color='C1',linestyle='-')\n",
-    "ax1.legend([\"Semtner\", \"Winton\"])\n",
-    "ax1.set_ylabel(\"hs [m]\")\n",
-    "#ax1.set_xticks([3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24])\n",
-    "ax1.ticklabel_format(axis='both', style='plain',useOffset=False)\n",
-    "\n",
-    "#ax1.set_ylim(3.3,4)\n",
-    "\n",
-    "ax1.set_xlabel(\"time [days]\")\n",
-    "ax1.set_xlim(0,days)\n",
-    "plt.savefig(\"plots/model_hs_{}.svg\".format(initial_conditions),dpi=500)\n",
-    "\n",
-    "plt.show()\n",
-    "\n",
-    "print(np.nanmean(Qtop_result_Semtner))\n",
-    "print(np.nanmean(Qtop_result))\n",
-    "print(np.nanmean(Qbot_result_Semtner))\n",
-    "print(np.nanmean(Qbot_result))\n",
-    "print(np.nanmean(hi_result_Semtner))\n",
-    "print(np.nanmean(hi_result))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 87,
    "metadata": {},
    "outputs": [
     {
@@ -1329,7 +995,6 @@
     }
    ],
    "source": [
-    "# plots for thesis\n",
     "labelsize = 8\n",
     "ticksize = 6\n",
     "\n",
@@ -1426,135 +1091,6 @@
     "\n",
     "plt.savefig(\"plots/model_hi_qtop_qbot_{}.pdf\".format(initial_conditions))"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## compare enthalpyax1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/sw/rhel6-x64/conda/anaconda3-bleeding_edge/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: divide by zero encountered in true_divide\n",
-      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# example of E & E2\n",
-    "plt.subplot()\n",
-    "T_vector=np.linspace(-100,0,401)\n",
-    "plt.plot(T_vector,E(T_vector),'C3')\n",
-    "plt.plot(T_vector,E2(T_vector),'C1')\n",
-    "plt.hlines(-L,T_vector[0],T_vector[-1],'C0')\n",
-    "plt.legend(['Winton upper layer','Winton lower layer','Semtner'])\n",
-    "plt.xlabel('Ice Temperature [°C]')\n",
-    "plt.ylabel('Enthalpy [Jkg$^{-1}$]')\n",
-    "plt.xlim(-8,0)\n",
-    "plt.ylim(-360000,-200000)\n",
-    "plt.tight_layout()\n",
-    "plt.savefig(\"plots/enthalpy.pdf\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "E1_array=np.zeros(np.size(T1_result))\n",
-    "E2_array=np.zeros(np.size(T2_result))\n",
-    "for i in range(np.size(T1_result)):\n",
-    "    E1_array[i]=E(T1_result[i])\n",
-    "    E2_array[i]=E2(T2_result[i])\n",
-    "\n",
-    "plt.plot(E1_array)\n",
-    "plt.plot(E2_array)\n",
-    "\n",
-    "dhi_bot = Qbot_result/(rhoi*E2_array)\n",
-    "dhi_bot_Semtner = -1*np.array(Qbot_result_Semtner)/(rhoi*L)\n",
-    "\n",
-    "dhi_surf = Qtop_result/(rhoi*E1_array)\n",
-    "dhi_surf_Semtner = -1*np.array(Qtop_result_Semtner)/(rhoi*L)\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 90,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'dhi_surf_Semtner' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-90-b669873ae3d7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdhi_surf_Semtner\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'Semtner'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdhi_surf\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'Winton'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mylabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"surface ice thickness change [ms$^{-1}$]\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlegend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'dhi_surf_Semtner' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "plt.plot(dhi_surf_Semtner,label='Semtner')\n",
-    "plt.plot(dhi_surf,label='Winton')\n",
-    "plt.ylabel(\"surface ice thickness change [ms$^{-1}$]\")\n",
-    "plt.legend()\n",
-    "plt.show()\n",
-    "\n",
-    "plt.plot(dhi_bot_Semtner,label='Semtner')\n",
-    "plt.plot(dhi_bot,label='Winton')\n",
-    "plt.ylabel(\"botom ice thickness change [ms$^{-1}$]\")\n",
-    "plt.legend()\n",
-    "plt.show()\n",
-    "\n",
-    "plt.plot(dhi_surf_Semtner+dhi_bot_Semtner,label='Semtner')\n",
-    "plt.plot(dhi_surf+dhi_bot,label='Winton')\n",
-    "plt.ylabel(\"net ice thickness change [ms$^{-1}$]\")\n",
-    "plt.legend()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/python_scripts/__pycache__/functions.cpython-36.pyc b/python_scripts/__pycache__/functions.cpython-36.pyc
deleted file mode 100644
index 287afed1fb2f4c40131cbacf681e8829d47aaecc..0000000000000000000000000000000000000000
Binary files a/python_scripts/__pycache__/functions.cpython-36.pyc and /dev/null differ
diff --git a/python_scripts/energyflux_icelimit_comparison.ipynb b/python_scripts/energyflux_icelimit_comparison.ipynb
index 222d4ca901b16bd41100c7b2ca91796e0f7e5f62..ff735bc734f5d385f878b01cba0835be3bc9dc0c 100644
--- a/python_scripts/energyflux_icelimit_comparison.ipynb
+++ b/python_scripts/energyflux_icelimit_comparison.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -57,7 +57,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -91,7 +91,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -128,7 +128,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -221,7 +221,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -322,7 +322,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -423,7 +423,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -511,7 +511,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -584,16 +584,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x2ae3ac3cfb00>]"
+       "[<matplotlib.lines.Line2D at 0x2b4d1858c4a8>]"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -631,7 +631,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -846,7 +846,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -861,7 +861,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -901,7 +901,7 @@
     "\n",
     "plt.ylim(ylim)\n",
     "plt.xlabel(\"Ice-Edge Latitude [°]\", fontsize=labelsize)\n",
-    "plt.ylabel(\"$F_{a}$ [W/m²]\", fontsize=labelsize)\n",
+    "plt.ylabel(\"$F_{r}$ [W/m²]\", fontsize=labelsize)\n",
     "#plt.legend([\"1438ppmv\",\"1500ppmv\",\"3000ppmv\",\"5000ppmv\"],loc = 2, \n",
     "#               ncol=4, labelspacing=0.2,columnspacing=2,handletextpad=0.1,  handlelength=2, mode=\"expand\",\n",
     "#           borderpad=0.5,borderaxespad=0.2,markerscale=2)\n",
@@ -1043,134 +1043,6 @@
     "plt.savefig(\"plots/hice5m_sic_qbot.svg\",dpi=500)\n",
     "plt.show()"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[3.19146303e+02 5.37758229e-01 1.06490622e+03]\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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KoMruJCEmnPySKobvf4eZIW+xI3wCNxyey22DLYxLjMHhMiQnxnKXLgAMWKOTh4jcAczHXQJ9J+6qul/i7okopVSr8q8/BbBo/T7A8Hz8p8wuf4vMuBTkR68zcW0e1bUutuaWMH/KYOZMSNSih6chkJ7HfNwbNm02xqSIyDnAk80TllJKBca//lRuYSUJ0WH8wvI2V5d/wN4ePyLomj/zwr/3sCGriISYcM9VRosenqZAkke1MaZaRBCRTsaYPSIytNkiU0qpRiqutLN40z6q7C4Wb8plS7aVeRWvcHXwGj4KmcHP837MpR/vZUOWe+ZVfkkVKUPjmTNhgO8zdIZVYAJJHgc8iwT/BawWkRJ0Bz+lVBuwPC2fhWuyAAjCyRtd/8alwan8xXUFz5TfyEVJ3UiIiWB0P/c65/rjHNrjCFwgs62u9rx8QkRSga7AJ80SlVJKBWB2cgLvbt3PoaIy/hr5KhfXbOb52ut5xTmLxLhIRIQlm7+fXfXD4T11fOMMNaaq7lvGmJtFZL4xZiGAMWZt84emlFIn531cBcJTMwYS9uEtjHPuZHXCg5THXcf4I+UAbMgqJDEugouHxBMTEaqPqJpAY3oeY0SkP/AzEVlCva1ntbKuUqq1eB9XdaGCqZF/YLhjNw875rI8cywpFhsXDIxj4ZpMkuIjybZW8uPocH1E1UQakzxew/14aiCwnbrJw3jalVKqxc1OTkDKDzFj52P0qM3nT7GPEjPoSiYWHCM1w8rIvl15dMY5TB3WQ8uONLHGlGR/GXhZRF41xtzdAjEppdRxi/7812J4j83oVc6N395BJ1cZL8T/lutvuImk+Kg613rHNrTsSNMKZMBcE4dSqsV411/Y7A6+OVBGaoaVNbuPEBocxLDeXdiy/r/8JPz3VDvhx/YF7DqQwN6V6SyYOczXy9BB8eajVXGVUm3S2MRYkuIjKSitJjXDSkxECFtzSwA4t3IL74f/FqJ6sHzQi4xx9aQy00pqhhVI9/ypU3CbkyYPpVSb9MfPM8m2VuJwugsclthqSYgJZ0zZah4peZ2iyCQ+HLqQ2Zcmszwtn9wiGylD41kwcxgXDNTxjeamyUMp1eq8YxTege2xibFU1jgYPyCWuy9J4i/rcxjepyu3mJX03fZncjuPYab1birWl2AL3edbKe59VKXjG80v4OQhItOA64FXjDE7RWSuMWZR04emlDpbeMc3Pt9zhC37SujdNYxDZdVclBRHxpFyvsy28ktZTN8D7/Af5ziyR7zAqHybp9yIEBsZqo+oWtjp9DzuAW4DFnh2ExzVtCEppc423kdMn+85CoDLuB9VJXWPYtrgLiRvfpWRBzZSPWYuBzvfyU1jE7kJ6szGUi3LchrXWI0xpcaY/wEuw11pVymlTltspHvV93l9uzJxUDcuG9YTgD7B5US8cyXn2zaROuAhwq54nuvGukuol9jsrRz12S2Q/TzCgEFAnoiEGWOqjTGPiMj9AVy/Dujkue/7xphfi8gAYCkQC+wAbjbG2EWkE7AEGAMUATcYY3I9n/UocDvgBB4wxnza2N9DKdW2eEuMbM8rZUNWoW9RX9WhdG74+iEiHcXMq32QYb1v5DzPvuSpGVbW7bWyMbsIm93Bg9O0wHdLO2XPQ0SCReR3wAFgMXAdkC8ivxOREGPMHxt5rxpgsjHmPNyPuqaLyAXAc8BLxpjBQAnupIDnzxJjzCDgJc95iMgw4EZgODAd+LOIBDUyBqVUG+MtMbIhq5CUofHMTk4gfeNKFhyZT22NjafinmdYyo+5clRvX+JIGRrP8D5dPZ8gJ/181Twa0/N4HugMDDDGlAOISBfg956f+Y25kTHGABWetyGeH4N7J8KfeNoXA08ArwKzPK8B3gf+JCLiaV9qjKkB9olIFjAO966GSql2ZnZyAja7AxCuHNWbnStfZWbGbyiO6MszXZ/kX7nBpESUUmV3kpphZeKgOF643j3UGhepRQ5bS2PGPGYCd3oTB4Ax5hhwN3B5IDcTkSAR2QkcBVYD2UCpMcbhOeUA0Mfzug+Q77mfAygD4vzbG7jG/15zRSRNRNKsVmsgYSqlWkhxpZ3Xvshie14pV57Xi5L/PMXk3Y+zK2Q47418g/uvnULK0HhSM6ykF5QBMKxXV5anuf8KmKd7j7eaxvQ8jKfXUL/RKSLHtZ/ig5zAKM+mUh8C5zZ0mufPhvqi5iTt9e+1CFgEkJycHFCcSqnm47/rX3rBMTZkFRJGDdY3n+aCqnWsi5jG7cU3U7v2MNsOO32L/rxrQGx2p24b2wY0Jnmki8gtxpgl/o0ichOw5wTXnJQxplREvgAuAKJFJNjTu+jL97sTHgAScO9gGIx786liv3Yv/2uUUm1M/SKF/rv+Afwwwcn/lv6WAVVZ/Lb2x4SP+jn3iLA9r5TUDCsXDDziSxJJl7iLHkaEBunjqlbWmORxL/BPEfkZ7pLsBvf03HDg6pNd6E9E4oFaT+IIB6biHgRPxT0IvxSYA3zkuWSF5/2XnuOfG2OMiKwA3hGRF4HewGBga2PjUEq1nGK/2VE2u4OI0GCmDuvBO1v2k1ds47Ku+bxQ+jwhTht32B/CPvAyXr5oYJ3KufWThC4IbBsaU5L9IDBeRCbjnuEkwCpjzJoA79ULWOyZGWUBlhljVopIOrBURJ4GvgLe8Jz/BvCWZ0C8GPcMK4wxu0RkGZAOOIB7PY/DlFJtzPK0fN/sKBCeXbWHoooaenTpxLWhX3J32UsUOLvycvcX+fxAFyb6PYHWJNG2SQPDGXVPEBkE9DDGbKzXPgk4ZIzJbsb4mkRycrJJS0tr7TCUOmvUr1U1OzmB3MJKHn7/a6JChGlH3+C+4I840OV8rjg6j6iYHvSODmfLvmLmTxlERGiwllRvA0RkuzEmuaFjjZlt9QegvIH2Ks8xpZSqY/GmXJ5dtYdff7TLlwT++Hkmh62FPFT6DPcFf8TqsB/yj8Ev0zWuJ/klVQRbhEdnnIO3h+KdUaXapsaMeSQaY76p32iMSRORxCaPSCnVAbifaGzIKmTxpn1EhAZz13AXT+T/mn7mEO/E3M1jBRNhYz5zJw0g82gFC2YO8+0CqAPibV9jkkfYSY6FN1UgSqmOobjSXXNq7qSBAGzPKyU85xNu7vQaVa4gnu/xf1w7+6fM33mQkspa0gvKeXLWcJLi3WXUdayjfWjMY6ttInJn/UYRuR337CullPLxTsWNiwqlW2QQ43L/zF9CX6Q0vD9P9XqVP+/vy9Mr05kzYQD5JTY2ZBXy9Mr01g5bBagxPY+fAx+KyE/5PlkkA6EEMFVXKdVx+Q+Q2+wO5k4aiNNWwq0FTxMRnMp33a/k2v3XkBwTz8RBQmqGleVp+SyYOQxI9/yp2pPGTNU9AkwQkRRghKf5P8aYz5s1MqVUu+HdzGlzThGpGVamxVpZUPEMIZZi9l/4DKtlKmNDy9iQVcjcSQMICRKmDutBUnwUb942rrXDV6eh0SXZjTGpuBf0KaUUULfHATB1WA8uqPwTt1hfoNwSyfU1v+LYdyPItmYzf8ogJg3uhs1T4HBk34M6Jbcd0z3MlVIB8yYNm93JwjWZ2OwOglw1VHzwAPMKP6Ag+nys018nenMZv5o8mG25xb4k4Z1NpTWq2jdNHkqpRqufNOZOGkDK0HjCyvOYtPNhRlhyWRF5HfuGPcTN/Qbw5rnuHkVit8g69a3mXZKkU3LbOU0eSqlTqp805k8ZxKMzzsFmd9Ip8z/cHLoIE2Th9pqHWFM9BlL34bIE+Xb4846JwPe9DJ2S274Fsg3tc8aYX56qTSnVsfgXN7woKY75UwZzyZB4Xl2zi2cil9M99O985RrE/0X+L1uqokiICSe/pAr/3RO8vQvtZXQcgfQ8pgH1E8WMBtqUUh2It7hhUnwkG7OLCA22sD87nXsPPUl3Sw5be9zIK8E38cvLRrAtt7hOPSsv7WV0PKdMHiJyN3APMFBE/MuUdAY2NVdgSqnWV1xpx2Z3MH/KYK4c1ZunV6YTnLmK34b/BVeQi99H/4o/5Z1LytBOJHaLZHT/GMC974bq2BrT83gHWAU8Czzi115ujClulqiUUq2ifjVc9xhHFvOnDCL12zx+F76E+NC3qIz+AU92ephlOcEkxUf6Fv1p7+Ls0ZhFgmVAmYjcBlwDJHqvExGMMU81a4RKqWZXf0B8WVo+2dZKxiXGMHFQN6LKMpj0zaPEWw6wyPEj/llzG3sO2kkZGs+CmcOOe0ylOr5Axjz+BZThLlFS0zzhKKVaknc/8e15pWzIKmT+lEGkDI33jXFszS1mTtB/uS30XSqDI7m5+hEOxV1ItrWSpPhIXyVcfUx19gkkefQ1xkxvtkiUUi3KfxYVQMrQeK4c1QeAkX2juXpIKKXv3smo6q1kdrmINUN+xejQOJ7wjH2kZlj5LP2IJo6zVCDJY5OI/MAY822zRaOUanb1exsXJcUxvHdXwkODeG9rPovW5/DiaCuJy57BVVvGP2LuZf+gm1i0fh/zp8TyWfoRFswcxgUD9VHV2SyQ5DERuE1EcnA/thLAGGNGNktkSqkmV7+3cVFSHMmJsQAsXJNJSlJnFgS/xTXpqyiOTGLlDxby+GbD3EHunklVrYuFa7SkiAosecxotiiUUs2u/mI//6Qxf8ognhlfy2UZDxAfvI/VkVdwX9G1JEfHMn+K+zx3McOuPDrjHO1xqICSx37gp8BAY8xTItIP6AnkNUtkSqkz5p1FNTs5wbfYL2VoPC9cP8pXpDAq2MW1Vcvo8vVLFJouPBLxa5YWDSU2MoSN2UVcPCSe2ckJvjpUWgFXQWDJ48+AC5gMPAWUAx8AY5shLqVUE/CvKTU7OYGiihrSC8opsdmJjQwl1pbLbRnzCD68k385J/B65N3sLgkiMS6C3CIbFyXFYbM7AX1MpeoKJHmMN8aMFpGvAIwxJSKi/wRRqg2rX1NqzZ6jZFsr+fWH33BPxGdcmPsKtRLG/fb5rHKNZ3xMLJQWc/HgeAZ0szG4R2cWrskkIjRIk4eqI5DkUSsiQYABEJF43D0RpVQbFRsZ6ntkVVRhJ9tayQUx5fzm2PMMOPQVmV0v4vMh/48EYpkfGsSVo3r7VpYv2ZynYxzqhAJJHi8DHwLdReQZ4DpgQbNEpZQ6Lf5jHN4xDe8g+aSkGG4KWs3jNe9hgIdr55IdOosd60uZP6UbD04bArjrUvnvtaFjHKohgWxD+7aIbAem4J6me5UxZnezRaaUCtjiTbksXJPJ+sxCXv7x+b5B8mv6V/PzY4/RL+QrcqLG8WKne1iZH8r4YIvnSqnzOVoFV51KQJtBGWP2AHuaKRal1BkorrSTluuuVbohq5CHlu1kweVDODfnS8bnvU61CebZ0Pt4/eiFgGhdKnVGGlOSvRzPOEf9Q7gXCXZp8qiUUgHJtlYwd0ka2dZKEuMi6NEljIK92+lcPJ+Ly9P51JnMgtrbsNbEkBgXwcVD4omJCCUmQnsY6vRYTnWCMaazMaZLAz+dA0kcIpIgIqkisltEdonIfE/7EyJyUER2en4u97vmURHJEpEMEfmhX/t0T1uWiDzS0P2UOlsUV9p9iSM6IphDRWXcJ8v4T9gCujmtHP7ha7zR+ykS+g1g/IBYcots5BfbWLgmk+Vp+a0dvmqnAnpsJSIxwGAgzNtmjFnXyMsdwEPGmB0i0hnYLiKrPcdeMsb8vt69hgE3AsOB3sBnIjLEc/gV3DsbHgC2icgKY0x6IL+LUu1R/f02ZicnsHhTrq/H8dPeR7g44zcMPXSAmmGzeTf2bkoqOrM1L9M3a8p7vdamUmcikD3M7wDmA32BncAFwJe4Fw2ekjGmACjwvC4Xkd1An5NcMgtYaoypAfaJSBYwznMsyxiT44lrqedcTR6qw1u8aR8L12SxPtPKhqwiNucUkRATQRcqeCniPc7P/IjikHgKpi9haem5LPwsk7mTInyJw38gXKvhqjNxysdWfubjXk2eZ4xJAc4HrKdzUxFJ9Fy/xdN0n4h8IyJ/8/RuwJ1Y/PvUBzxtJ2qvf4+5IpImImlW62mFqVSbUVxp56XVGWzOcQ+I1zoNEwd1IzXjKKHpy/m80/8w0vpvPo66lomVz7HCNgLvUGV4qB2Hgz0AACAASURBVIV5lyTplFvVpAJ5bFVtjKkWEUSkkzFmj4gMDfSGIhKFu6zJz40xx0TkVeA3uP+f/hvgBeBn1J876GZoOOEdN6BvjFkELAJITk5uaMBfqXZjeVo+C9dkARAbGcKWfcU8cWEI/8/6POfW7CQ9aAi3VN1KenUiKUPdtahKbHa+OVDm26NDqaYUSM/jgIhE495RcLWIfAQcCuRmIhKCO3G8bYz5J4Ax5ogxxmmMcQF/4ftHUwcA/weyfT33O1G7Uh1StrWCdXutXJ/cl8S4CCorK3kxfiU37fwJQ0wO64Y8RvUtnxAzcAxzLx7oK3q4YudBUjOsrNh5sLV/BdUBBbJI8GrPyydEJBXoCnzS2OtFRIA3gN3GmBf92nt5xkMArga+87xeAbwjIi/iHjAfDGzF3SMZLCIDgIO4B9V/0tg4lGpvnl6ZzsbsIhLjInjw2O+YFbYJyuFD50XsP+8xtlqDcXy6ly37iklOjPGtMP++895QJ16pMxPIgPmDwHJjzAFjzNrTuNdFwM3AtyKy09P2GPBjERmF+9FTLjAPwBizS0SW4R4IdwD3GmOcnljuAz4FgoC/GWN2nUY8SrU5/uVFSmx2nl6ZzpwLE+lWW8Bdx54mKSgNgPeHv0J+9Fi255WyMbsQgKT4yDqbNc2ZkOgrMaJUUwtkzKML8KmIFANLgfeNMUcae7ExZgMN/xPo45Nc8wzwTAPtH5/sOqXaC++WsCBc6bc3OMC6vVa2Zx/ikoN/5Xd8BGIhMy6Fl0Lv4uPtTlKGlvGLaUOwO5wUlFWTba1k5khLgzOrlGpqgTy2ehJ4UkRGAjcAa0XkgDFmarNFp1QH5z8QnpZb7Hs8NfXc7sTnf8JznV6kr6OQDWGXsiz6Tnr2S+LjdTkkxUf6ksyFSd3cW8gOjWfOhAE6q0q1iIAWCXocBQ4DRUD3pg1HqY6vfm/DZndQUllLasZRAEKK9xLy9tNcU5bGkYhB/CbqEd7I7w2lMI4Sd5K4MJEn/r2L1Awrg7tH1eltKNUSAhnzuBt3jyMeeB+4U1d1K3Vq9ccxvKVEACJCg3hw2lBue3MrZSWFPB32T37Mp9grolhQexsF/W7g3inn8O2q3ThcBhHx9Thyi2wAhIcG6+Mp1eIC6Xn0x702Y+cpz1RK+Xi3grXZHaz8poBsayUJMeH0jg7nYGkVCz/dxWNxa4kP+wNdTCXvOCdTPu6X7Dto2Li3iBpXBltz3T2O1AwrSfGR3D95MCP7dgWEORMSW/tXVGehQMY8tAChUqdhdnICNruDzTnFZFsriYkI4cKkOJal5ROd9ym3Br/LQMthNjiH80bE7dhih/HbscOpDjnExuwiBnaLIiTIwv2TBwOQmmFlW24xD04LeI2uUk2mMSXZNxhjJvqVZvefMaUl2ZU6hdjIUCJCg9myz11apMRWS3DBDt4LfY3xlj1kuvrwVOdf82HFcErKHFBWzGfpR3xTbb1bwl4wMI4Xrh/lt45DqdZzyuRhjJno+bNz84ejVMdQv/rt1GE9WLP7CAdz9/JwyHtcVbSJsuCu/L+an7E1ZiaZ1mrAQWJcBJcN64nN7gRg3iVJx20Jq+Mbqi0IZMD88YbajTFPNV04SrUPDe0V7v/efzvYDVmFRJSks+zwTRAGNYTyiuNKtva+BWdoF56bNoSlW/NYvfsoT1wxnIwj5Ty7ag8RoUG+goaaMFRbE8iAeaXf6zBgJqB7mKuzkv8geERoMEUVdhatz8Fmd3DJkO4s/nIfAOdGlPGPsJ+4NzHw+MvIZWwvi2RthhUoZEz/aKwVdkpstSz+MpcXrh8FoI+mVJsWyID5C/7vReT3uOtPKXVWKa60Y7M7mD/FPYD97Ko99I+NAGB52gFeX5tDsKOC3LA7YO/31/3VMYPFneeSEhTP4O7usYwt+4rZnlfqWSnuYnAP99Nh7Wmotu50Fgl6RQADmyoQpdqD4ko7Dy3bSWqGlflTBlFld5IQE05esY2YiBCOllWQFXZLnf+yvu6UzNuDX+TL7CLyS6pY8mUeAHMnDSDYImzIcvc+Lh4Sz7Or9hCnj6lUOxDImMe3fL9vRhDuxYK/aY6glGqrFm/KJTXDSkJMOOszC9mxv9RzxPBv5tM37PvdAQ6aOFam/Jd5lw7iP/9JJ7+kqs5nhYcGk5wYy8bsIkB8j6n0cZVqDwLpecz0e+0AjhhjHE0cj1JtkndAvKTSDkB+SZUnGRgutKTzbugz4Pr+/MHVSxiX1IPkWhfFlXbSC8oBSIgJZ8aIXoSHBvkW9+lMKtUeBZI8rq3f4N6iw81/jw6lOoLiSjuvfZHF1wfKqHW62LG/lISYcADGJ8YwOSyDcXmLON+vSs/I6kUcI4rYyBCG9+nKwjWZRIQG8YtpQygoq+L5685jdP+YOvfRhKHao0CSRzLuPcy9g+RXAOuou5+4Uh2C/9iGv/ySKqaE7eYXRR8yvPY7DpsYHnfMoSDpeh65YhQ3bt3Pqu8Ok19SRVpuEaP7RfP5nqMUVdrJtlbyx88zfTv9KdWeBZI8ugGjjTHlACLyBO7Noe5ojsCUamn+C/u8+2p0ChZqHIbR/aKZ2TmbH2S/yljSOWKP5sWQ21lhmUZ1pxAO7y2jaPlOIkJDSBnanSWb89ixv8z32cEW8dWmWp6Wr70N1e4Fkjz6AXa/93YgsUmjUaqFecujV9ldpBccY0NWIa+uzaLU5iAmIoQSm505Yeu4sWQ95x5N54iJ5gnHLfwn5DKsFRbcAx01AL5kcaDExtxJ7omI1bVOcgor+cW0Iazde5SRfaN1QFx1CIEkj7eArSLyIe5ZV1cDS5olKqVaiP9mTADBFii1OQBDiuzgzrClnMs+qIUnam/hXedkhvfrztX9Y1n1XQH5JVX0jQ6nT0w4W/YV0zU8mNwiG+GhljqFC19fm83CNVk8OuMcfWSlOoRAFgk+IyKrgEmeptuMMV81T1hKtYypw3qwbq+VpO5RrNtrJb+onCstW7gvZAVDnPs5YLrxHlP5vbkJq9P9l/7hsmoWrc9hWM9IEuMiePH6USR2i2R5Wj5FlXYWrcuh/o7LOg1XdTSBrPMQYBjQ1RjzlIj0E5FxxpitzReeUs3D+7hqe14pG7OLCDF27u+ynnGV/yCBI+TQh4fsd/GRawIOv/9MEmLCfes10g+7K/Zsyy1mdP8YXxHDuMjQ45KETsNVHU0gj63+jPsB72TgKaAc+AD3DCyl2oVsawWP/+s7qmqd7NhfSiRV3B+Wyk0HV9JDStnpGsjTjgf5r2sMBgsWYFivziQnxhIWHMTXB0rJL6kiISaclKHdiamXKDRJqLNFIMljvDFmtIh8BWCMKRERfXir2gVvT+OjnYfILbIRTwkPBa/m5qDVRFPJRtdwfmnu4QvHcCJDgjEuJ52CLdQ4XNQ4XMyZkMjTK9PZsq+YlKHxOt1WnfUCSR61IhKEp0SJiMRTZ02tUm2PN2lszilmy75izpH9LAz7hOlmAyHiZJ2M5aXqmXxtBvmuiQoLprLWyZDukRyrdpJtreTXH+1iQ1ahJg6lPAJJHi8DHwLdReQZ4DpgQbNEpdQZ8CaMkspa1mVayS2q5BLLNywJ+ZiLg77FGRzO6tAZPFuSQp7pCcDIPl0osdVy4cA4sqwVHCmvIaJTCBcmxbsHx3t1ZtLgbr4yIkqd7QKZbfW2iGwHpuCeSnKVMUb381BthneRn83uZOGaLDphZ1bQRt4M/4QBJh8rsTxXeyP5fWdzyB5OXrG7qGFCTDhHK+wcLqvGlV3IwdJquoa7t409r29XHp1xjiYNpeoJqCS7MWYPsKeZYlEqYN5eBghVtU4Wrcvh7jGdWRC1glm1HxMvxyjoNIgHj93NSteFREWEU5JVQ99oCwC9u4bVqXZbWO5e8FdW5a75GR4arAPgSjXgTPbzUKpVFVfaeeDdHWzIKgIM07vs5w8h/+ZHu7YSgoPPXaPYEH8jwQMv4cMN7p39Smy1xEaGcKDUPWOq1ukethvZpwv5JVWU2Gp9+4j7V75VStXVYslDRBJwr0jviXugfZExZqGIxALv4S51kgtc75nJJcBC4HLABtxqjNnh+aw5fD/e8rQxZnFL/R6q5fnvDw7w2hdZpBeUMzA+km1ZBcwO2sRtIasZZt/HMUs4bzmmsibqCjaWxsAhuCj8GNOH9+CLDCsD4yNJLyivs14DIOWc7lw5qg9Pr0xnwcxhJMVHtdavq1S7IMaYU5/VFDcS6QX0MsbsEJHOwHbgKuBWoNgY838i8ggQY4z5pYhcDtyPO3mMBxYaY8Z7kk0a7iq/xvM5Y4wxJSe6d3JysklLS2vOX081A/+FfBuyCrkoKc63PqOvWLkn8gtm1K4mRirIcPVlY+zVFA28mtqgCN9neOtVWQRcBqI6BTE2MZayqlp27C+la3gwN4ztx12XJOmYhlL1iMh2Y0xyQ8darOdhjCkACjyvy0VkN9AHmAVc6jltMfAF8EtP+xLjzm6bRSTak4AuBVYbY4oBRGQ1MB14t6V+F9V8GqpsCxATEcKmbCsTLd/xl5DVTAnagXEI64LGsTrqSoIHXkxMZCdun5DI4k25LFyT6SsdUlBWRbbVvRp8YHwUqRlW5k4aQNfwEO1lKHWaWmXMQ0QSgfOBLUAPT2LBGFMgIt09p/Wh7l4hBzxtJ2qvf4+5wFyAfv36Ne0voJrN8rR8nl21h3V7rWzMLiIhJpyakkPMrlnLzRFr6ek6QqklmnXxt/BIXjKHiQMb9HcUkldsY3NOEVV292B3bpGNh9//muevO48X/pvB8D5dmT68J3/8PJMbxvXTpKHUGWjx5CEiUbjLmvzcGHPMfzfC+qc20GZO0l63wZhFwCJwP7Y6vWhVS8q2VrBur5W5Fw9EjJOQfZ9xj2sjY8I2E4SLb4NH8UzFbKoHzWBAjzgO5+XQu2sYCbERDO3ZmSVf5rFlX7Hv88KChWxrJWv3HuXtOy8A3NVtUzOsXDDwCEmXaPJQ6nS1aPIQkRDcieNtY8w/Pc1HRKSXp9fRCzjqaT8A+FeX6wsc8rRfWq/9i+aMWzWt+gPg3qm22/NKyMneyzTrJn4SspbQ0ENYq7uwRGayuOYSnOEDiekVyjd7y7i+S2dShsZz/+TBbMstZmiPzqzba2VcYixhIUHkFFYysFskSzbn4f/vDa1uq1TTaMnZVgK8Aeyut9/5CmAO8H+ePz/ya79PRJbiHjAv8ySYT4Hfioh3I+jLgEdb4ndQp6/Oegy7k0XrczhYYmNjdhF51jJSLDt5IHI9Y8LSCLIbtjnO42/22WwNHU9RNYSHWKgqqcJaXg3ApqwiDpRWsTO/lBJbLUnxkeQW2RjQLZI3bxvnu2efmHAtXKhUM2jJnsdFwM3AtyKy09P2GO6ksUxEbgf2A7M9xz7GPdMqC/dU3dsAjDHFIvIbYJvnvKe8g+eq7fLfdCkhJhyAg3u28ZOK/3J12EZiOcZRezSvOq9kY+cZfFnSBYDR3aMp2l/KgLgIDpZVU1bl3uFvwqA4lqUd8CWO5687jz9+nsmCmcN899REoVTzabGpuq1Jp+q2Hv9tXr8+UErmvlxmBW1kTsQmEmuzqSWIbyMn8ErJONa6zsNBMLdc0I+YyFBAuHJU7zqzrrzmThoAQHpBOU/OGq6D30o1gzYxVVd1TPXHL7yvYyNDKa6089CynWzIKCDF8hW/itvGOWFfEoyTg8Hn8LhtDiucE+gc3p18VxVdwoI5Vu0gJrITD04bQnGlnde+yMJmd3J9cl/yimzUOl3s2F9KeGgwD04b0sq/vVJnL00e6ox4p9ba7A7SckvYmF3E53uOcF6faGrytvKmdT6Euc8tLI/mDcd0PnBeTHyfUWwsKSIxLoJxibHkbz/AsWoHSfGRnJ8QzW1vbmVwj84sWu8uK1JYUUO2tZL5Uwbxw+E9dcBbqVamyUMFxL/cecaRcob27MzcSQNZn1nIjv2lDJIDTMxfxpUHN9HfctR33a32h/k6dDQlDsPEQd34xbQhhHrGKFbsPARAYlyEe++MFbvIK7ZhszuYO2kA6QXl/GLaELblFmt1W6XaCE0e6pT8Z0oBvoFvgC37irkgzkZy6RqeDt3EMEseTixsdA7nZfs17OoykT2lFvdsqWoXiXERjOkfwye7DpOaYWVf4TZevH4UVXYHXx8o47LhPamudbLkyzzO6xvDYz8613ev0f1j6oemlGolmjzOcidac+GtJvvaF1n8N/0IuUU2AEb368roftFYbEWMrFjLNcGbGVH5HYRARvBQ3oy4m1eOjqSQriTGRfiuq6p1J47Lhvdk4ZpMLkqKA9yrwP/4eSbgTkQRoUG8cP0o+kSH66MppdowTR5nucWb9rFwTRaLN+USZBFfpdm/bczBGKiocQIQFmIhvLaUwQdTucKyiYlBuwDIc/bljZCfsLhiLFZnL6oqXO5V3xbhoWlD+NVHuyitqgVg1qjeXDmqD5lHyrl/8mCGf1dAekG53/Rad0VbnWKrVNunyeMs4f/oac6ERN9sqO157mLEh8rci+86hwVhd7gor3YnjTjKmBW2gxTnl1wYlk4wLg5benIkpD9Pmnl8fKw/14/pi/WbAqpqXcRGhvg+63efZlBaVUvvrmHMPK83cyYMYPGmfaRmWBnZtyuP/WhYnRi9i/uUUm2fJo+zhP8ivbTcYob37kpaXjE79pcypHskuYWV2F1QXu0knlJ+GLSNyy1bGG/ZTRCGHOnJa44rWOUczy7Tn5Sh3RncozOsy+HLnGKqat09jp5dw5h6TiSHymqw2R3kl1QxMD6Kxy73jl1IvT+VUu2RJo8OLttawaMffIPDZZg8NJ61nmq1G7OLfOfkFVXSzVXI1KDtzAzeSjJ7sIgh29WLV5yz+Nh5AXtMAp2CLNQYQ0JMOKkZVrKOVjB+QKyvGGFosMWzR0YI/7hjPNnWCt/mSl5zJiQSERqk4xlKtXO6wrwD8R/8/ia/lAeWfoXTGCo94xaCf/lhw3DJY3rwdlJkOyMsuQBkuvrwsWs8/3GO52hYIqVVTjoFCTVO95WxkSFMPbcHy9IOAHBRUhzJiTGAcMmQeF+JEF3xrVT7d7IV5po8OojiSjt3vZXG1twSgsTdC6iqddU5JxgH4y27mWbZztSgHfSVQlwI212D+cw5htWuMZSG96OkyoExECTgyRkkxrl358stsnFRUhzDe3fR0iBKdXBanqQD8fYuxibG8sJ/M0jqHkWZzc4n3x329Q6cBl/iGCE5DJUDXBz0DSmWnXQRG9UmhPWukSx0XcPm4DHk2zt/fwObeyOlYIvgcLkfUcV37kRy/1imj+ipPQulFKDJo11w13jKJr2gjGG9u7JoXQ5hwRaqHa46YxduhgeCPuQXIe/XaS0ynfnEOZbVrjGsd/2Aajq5DziPv1//2AheumEUL67OYENWEf3jIlm0Poe4qFCdEaWUAjR5tDn+e3iv2HkQ//0vAPKKbPTuGuabDgvQV6y8H/oEPaWkwc/8yDmBB2vvwYWlTvuQ7pEcKa+hrMrd2xjdL5qI0GA2ZBWyLbeYMf1j2JBVxLBenZk0uJsOciulfDR5tAH+CePxf33Hxuwinlu1B1cD5+aXVBFsgTlBn/JkyOITfua99gf4j+uCk963e5cw9h6t9Ax6x/pWlfuvOI8IDdZ6Ukqp4+iAeSvxfxTVOzqcZWkHiAi2YHM0lDKgC5VcaEnnlZCFBMvx5+x0DeQ2+/9SQpeT3jcy1ELnsBAuG9aTORcl8ln6EU0OSqkG6YB5G+E/lfYPn+1lyZd5dY77J44QHJwvmUwM+paJlu84T7IJkrqJ/pHaO1jqnHzK+4YFC9UO46s19cCUAb7yH0mX6MC3UipwmjyaUXGlnT+szmBdZiFPXDGc332STvrhSl5es4dKe/2zDYPlIJMs3zLR8i3jLbuJlBqcRvjaJPEn51VsdI7gKzOY2kb8z9a9cyemj+hJjrWSDVmFpAyNZ8HMYb6ehlJKnQlNHs3A28Ow2R0s2bwfgFv/vs133Js4rrRs5OXQV467PtvViw+cF7PBNYLNrmEcI7LR9+7ZpRNXjurDXZck+epX+e/upz0NpVRT0ORxGrwlP0SEq0b15rerduNwOPFMWqJHVAhHKmqPq950tWU9L4W+2uBnHjHRvOCYzUbnCA4Sf9L7R4ZaiI4I5ZHp57B0Wz7dokL5Yq+VsioHN4ztV2d7Vq1Qq5RqDpo8ApBtreB/lu3kq/wyX5u3rpO/IxW1gOHaoHX8PuT1k37mCueFPFw7jxoaN2CdMjSeF64f5RvgvmJUH+D4fTmUUqo5afJoBO/MqOXb8ymx1Z7gLEOKZSdvhj5/0s/6k2MWLzmuw0nQCc/pHtWJoxU1ddrCgoVbJgzwPY6qT3sYSqmWpMnjFIor7dz9jzS27Ku7AC+UWkbIPsZY9jLWksFoSybd5Nhx17/suIqFjmtPmizqG9wjih+PT6Ckspad+SWU2GpZeOP5ug2rUqrN0ORxCos35bJlXwldqGCMJZOxlgzGWPYySrLpJO5eyD5XD75wjSLfFY+DIF53zsQR4FfrrXibGBfBU1eN0NpRSqk2TZPHybhc3PDVLTwYttvXVGuC2GUSWeKcRpprCNtdQymk6xndZsbwHvzP9HN0wZ5Sqt3Q5HEyIsRX7wPgTcs1fFI1nK/NwO+LCjaCtzptkEV4etZwdheU8+muwxhjCAm2cLC0mlH9YkiKj9JptEqpdkOTx8mIUP5QPsvT8vl012F27C9t9KUhFrht4kBuGJvA0yvTSc2wcqzawVNXjeCpq0YAOkNKKdV+WU59StMQkb+JyFER+c6v7QkROSgiOz0/l/sde1REskQkQ0R+6Nc+3dOWJSKPNHfc3llMyZ7B6vjIUEKCjt9/Oyk+kuuT+wLQNTyY9+ZN4LHLzyUpPooXrh/FozPOOS5JeD9bH1Mppdqblux5/B34E7CkXvtLxpjf+zeIyDDgRmA40Bv4TES8K99eAaYBB4BtIrLCGJPenIED3HXpIOKiOjE7OYESm53H/vktxhgemXEu23KLfYkhKT7quHELnUarlOpoWix5GGPWiUhiI0+fBSw1xtQA+0QkC/DuQpRljMkBEJGlnnObPXn4J4DYyFDem3eh75j/FFpNEkqps0GLPbY6iftE5BvPYy3v38J9gHy/cw542k7UfhwRmSsiaSKSZrVamyNupZQ6a7V28ngVSAJGAQXAC5724wcV3MsgTtR+fKMxi4wxycaY5Pj4k9eKUkopFZhWnW1ljDnifS0ifwFWet4eAPxHl/sChzyvT9SulFKqhbRqz0NEevm9vRrwzsRaAdwoIp1EZAAwGNgKbAMGi8gAEQnFPai+oiVjVkop1YI9DxF5F7gU6CYiB4BfA5eKyCjcj55ygXkAxphdIrIM90C4A7jXGOP0fM59wKdAEPA3Y8yulvodlFJKueke5koppRp0sj3MW3vAXCmlVDt0VvQ8RMQK5LXgLbsBhS14vzPV3uKF9hdze4sX2l/MGm/T62+MaXC66lmRPFqaiKSdqKvXFrW3eKH9xdze4oX2F7PG27L0sZVSSqmAafJQSikVME0ezWNRawcQoPYWL7S/mNtbvND+YtZ4W5COeSillAqY9jyUUkoFTJOHUkqpgGnyOE0N7YxY77iIyMueHQ+/EZHRLR1jAzGdKuZLRaTMb2fHx1s6xnrxJIhIqojsFpFdIjK/gXPazPfcyHjbzHcsImEislVEvvbE+2QD53QSkfc83++WAPbkaRaNjPlWEbH6fcd3tEas9WIKEpGvRGRlA8fa1HfcaMYY/TmNH+BiYDTw3QmOXw6swl1G/gJgSzuI+VJgZWvH6RdPL2C053VnYC8wrK1+z42Mt818x57vLMrzOgTYAlxQ75x7gNc8r28E3msHMd8K/Km1v996Mf0CeKeh/+3b2nfc2B/teZwmY8w6oPgkp8wClhi3zUB0vSrCLa4RMbcpxpgCY8wOz+tyYDfHb/7VZr7nRsbbZni+swrP2xDPT/0ZNLOAxZ7X7wNTRKShfXVaRCNjblNEpC/wI+CvJzilTX3HjaXJo/k0etfDNuZCzyOBVSIyvLWD8fJ05c/H/S9Nf23yez5JvNCGvmPP45SdwFFgtTHmhN+vMcYBlAFxLRtlXY2IGeBaz2PM90UkoYHjLekPwP8CrhMcb3PfcWNo8mg+jd71sA3ZgbuWzXnAH4F/tXI8AIhIFPAB8HNjzLH6hxu4pFW/51PE26a+Y2OM0xgzCvfGauNEZES9U9rc99uImP8NJBpjRgKf8f2/6luciMwEjhpjtp/stAba2vrfFZo8mtHJdkNsk4wxx7yPBIwxHwMhItKtNWMSkRDcfxG/bYz5ZwOntKnv+VTxtsXv+P+3dzchWURRGMf/D+VCCmoTVES4DqLAkEDcREErIRAS+qKlm9blUoKKoHX0sYgMoqVUtAixfbXIqAiJVrVJyZLELE+Luaa8qM00vs4Iz281Opfr4TJwvHPvnJti+QqMAEcbbv0dX0kbgS3U5NXncjFHxHhEzKQfbwLtaxzaYp1At6SPwH3gkKTBhja1HeOVOHk0zxBwOu0GOghMRsTnqoNaiaTt8+9aJXWQPR/jFcYj4DbwNiKuLdOsNuOcJ946jbGkbZK2putW4DDwrqHZEHAmXfcAw5FWdquQJ+aGNa9usrWnSkTEhYjYFRFtZIvhwxFxsqFZrcY4r0rPMF/PtPTJiC0AEXEdeEy2E2gM+AGcrSbSBTli7gH6JP0CpoHeih/iTuAUMJrecQP0A7uhluOcJ946jfEO4I6kDWRJ7EFEPJQ0ADyPiCGyZHhX0hjZf8O9FcU6L0/M5yR1k51COkG2+6pWaj7Gubg8iZmZFebXVmZmVpiTh5mZFebkYWZmhTl5mJlZYU4eZmZWmJOHmZkV5uRh1iSSbknak677V2j3O5UO31mg7y5Jb7RMeX2zZvN3HmZrCz1AFwAAASdJREFUQNJURGwueu8ffbaRlfhurO1k1nSeeZiVJGmTpEepUu5rScfT70ckHZB0GWhNs4t7OfqbknRF0gtJTyV1pL4+pC+nzSrn5GFW3lHgU0TsS7OAJ4tvRsR5YDoi9kfEiRz9bQJGIqId+A5cBI4Ax4CB1Q3d7P84eZiVNwocTrOFroiYLNnfTxYS0CjwLCJm03Vbyb7NVoWTh1lJEfGerOz3KHBJ5c8ln11ULHEOmEl/Zw4XM7Wa8INoVlLaJTUREYOSpli6iuuspJY0gzBb95w8zMrbC1yVNAfMAn1LtLkBvJL0Mue6h1mteauuWcW8VdfWI695mFXv2/98JEh2VveX5oVltjzPPMzMrDDPPMzMrDAnDzMzK8zJw8zMCnPyMDOzwv4ABCUg06JqTi8AAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[ 1.39134715 -0.84883122]\n",
-      "[-0.1278794   0.54114959  0.2003112 ]\n",
-      "[0.01143275 0.01283542 0.00298047]\n",
-      "[ 2.80987065  0.272662   -3.08239936]\n",
-      "[0.06881618 0.00409829 0.07651853]\n",
-      "[-6.77852209  0.2970746   1.7242942   6.71992723]\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "\n",
-    "# fit\n",
-    "from scipy.optimize import curve_fit\n",
-    "\n",
-    "def exponential_func(x, a, b, c):\n",
-    "    return a*np.exp(b*x)+c\n",
-    "def linear_func(x, a, b):\n",
-    "    return a*x+b\n",
-    "def arcsin_func(x, a, b,c,d):\n",
-    "    return a*np.arcsin(b*x+c)+d\n",
-    "def sin_func(x, a, b,c,d):\n",
-    "    return a*np.sin(b*x+c)+d\n",
-    "def poly_func(x, a, b,c):\n",
-    "    return a+b*x+c*x**2\n",
-    "\n",
-    "msit1m=msit1\n",
-    "mco21r=mco21\n",
-    "menergy1m=menergy1\n",
-    "\n",
-    "#exponential fit of equivalent co2\n",
-    "popt, pcov = curve_fit(exponential_func, msit1, mco21r, p0=(1, 1e-6, 1))\n",
-    "\n",
-    "print(popt)\n",
-    "plt.plot(msit1,mco21r,'.',markersize=pltsize)\n",
-    "plt.plot(msit1,exponential_func(msit1,popt[0],popt[1],popt[2]))\n",
-    "plt.xlabel(\"sit [m]\")\n",
-    "plt.ylabel(\"equivalent CO$_2$ factor []\")\n",
-    "plt.show()\n",
-    "\n",
-    "\n",
-    "plt.plot(msit1m,menergy1m,'.',markersize=pltsize)\n",
-    "\n",
-    "#linear fit of heat flux\n",
-    "popt, pcov = curve_fit(linear_func, msit1m, menergy1m, p0=(1, 1))\n",
-    "#popt=[4,1/4,0]\n",
-    "print(popt)\n",
-    "#plt.plot(msit1m,menergy1m,'.',markersize=pltsize)\n",
-    "plt.plot(msit1m,linear_func(msit1m,popt[0],popt[1]))\n",
-    "\n",
-    "\n",
-    "\n",
-    "#quadratic fit of heat flux\n",
-    "popt, pcov = curve_fit(poly_func, msit1m, menergy1m, p0=(1, 1,1))\n",
-    "#popt=[4,1/4,0]\n",
-    "print(popt)\n",
-    "print(np.sqrt(np.diag(pcov)))\n",
-    "#plt.plot(msit1m,menergy1m,'.',markersize=pltsize)\n",
-    "plt.plot(msit1m,poly_func(msit1m,popt[0],popt[1],popt[2]))\n",
-    "\n",
-    "\n",
-    "#exponential fit of heat flux\n",
-    "popt, pcov = curve_fit(exponential_func, msit1m, menergy1m, p0=(1, 1e-6, 1))\n",
-    "\n",
-    "print(popt)\n",
-    "print(np.sqrt(np.diag(pcov)))\n",
-    "plt.plot(msit1m,exponential_func(msit1m,popt[0],popt[1],popt[2]))\n",
-    "\n",
-    "\n",
-    "\n",
-    "#sin fit of heat flux\n",
-    "popt, pcov = curve_fit(sin_func, msit1m, menergy1m, p0=(-1, 1, 0, 1))\n",
-    "#popt=[4,1/4,0]\n",
-    "print(popt)\n",
-    "#plt.plot(msit1m,menergy1m,'.',markersize=pltsize)\n",
-    "plt.plot(msit1m,sin_func(msit1m,popt[0],popt[1],popt[2],popt[3]))\n",
-    "\n",
-    "\n",
-    "plt.xlabel(\"sit [m]\")\n",
-    "plt.ylabel(\"heat flux [W/m^2]\")\n",
-    "\n",
-    "plt.legend([\"data\",\"linear\",\"quadratic\",\"exponential\",\"sinusoidal\"],loc = 2)\n",
-    "plt.savefig(\"plots/F_sit_fit.pdf\",dpi=500)\n",
-    "plt.show()\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
   }
  ],
  "metadata": {
diff --git a/python_scripts/ice_thickness.ipynb b/python_scripts/ice_thickness.ipynb
index f9735962050a65fb27d32c2a877c995e337c5f7f..8db6ec82bb156bd473aaca4da38fa7bc668f9cc8 100644
--- a/python_scripts/ice_thickness.ipynb
+++ b/python_scripts/ice_thickness.ipynb
@@ -1,21 +1,17 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot Ice Thickness for unlimited and limited sea ice"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<xarray.core.options.set_options at 0x2b97087da198>"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "%matplotlib inline\n",
     "import numpy as np\n",
diff --git a/python_scripts/overview.ipynb b/python_scripts/simulation_overview.ipynb
similarity index 97%
rename from python_scripts/overview.ipynb
rename to python_scripts/simulation_overview.ipynb
index 0f98659a09c2f190da49ae979e38df0c63ff3124..f089fb4be0a2048023a9d3c9760ea8c686da73b0 100644
--- a/python_scripts/overview.ipynb
+++ b/python_scripts/simulation_overview.ipynb
@@ -1,8 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Temporal Evolution of the Sea-Ice Edge of all investigated Simulations"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -198,55 +205,6 @@
     "\n"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<pre>&lt;xarray.DataArray &#x27;year&#x27; (year: 150)&gt;\n",
-       "array([  1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,\n",
-       "        15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,\n",
-       "        29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,\n",
-       "        43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,\n",
-       "        57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,\n",
-       "        71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,\n",
-       "        85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,\n",
-       "        99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112,\n",
-       "       113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126,\n",
-       "       127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140,\n",
-       "       141, 142, 143, 144, 145, 146, 147, 148, 149, 150])\n",
-       "Coordinates:\n",
-       "  * year     (year) int64 1 2 3 4 5 6 7 8 9 ... 143 144 145 146 147 148 149 150</pre>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'year' (year: 150)>\n",
-       "array([  1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,\n",
-       "        15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,\n",
-       "        29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,  42,\n",
-       "        43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,  56,\n",
-       "        57,  58,  59,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,\n",
-       "        71,  72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,\n",
-       "        85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,\n",
-       "        99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112,\n",
-       "       113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126,\n",
-       "       127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140,\n",
-       "       141, 142, 143, 144, 145, 146, 147, 148, 149, 150])\n",
-       "Coordinates:\n",
-       "  * year     (year) int64 1 2 3 4 5 6 7 8 9 ... 143 144 145 146 147 148 149 150"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "DA.year"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},