|
191 | 191 | " <span style=\"color: #008000; text-decoration-color: #008000\">'path_ERA5'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'/home/mmelotto/my_data/workshop_africa/forcing_data/AF_1491830.0/ERA5'</span>,\n", |
192 | 192 | " <span style=\"color: #008000; text-decoration-color: #008000\">'path_CMIP6'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'/home/mmelotto/my_data/workshop_africa/forcing_data/AF_1491830.0/CMIP6'</span>,\n", |
193 | 193 | " <span style=\"color: #008000; text-decoration-color: #008000\">'path_output'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'/home/mmelotto/my_data/workshop_africa/output_data/AF_1491830.0'</span>,\n", |
194 | | - " <span style=\"color: #008000; text-decoration-color: #008000\">'hbv_parameters'</span>: <span style=\"font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10.0</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.87</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">592.0</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.4</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.3</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.0</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.09</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.01</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.001</span><span style=\"font-weight: bold\">]</span>\n", |
| 194 | + " <span style=\"color: #008000; text-decoration-color: #008000\">'hbv_parameters'</span>: <span style=\"font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">10.0</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.87</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">592.0</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.4</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.3</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.0</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.09</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.01</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.001</span><span style=\"font-weight: bold\">]</span>,\n", |
| 195 | + " <span style=\"color: #008000; text-decoration-color: #008000\">'SCE_calibration_parameters'</span>: <span style=\"font-weight: bold\">[</span>\n", |
| 196 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.586012553845907</span>,\n", |
| 197 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.0</span>,\n", |
| 198 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">557.8536779504233</span>,\n", |
| 199 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.939688843608312</span>,\n", |
| 200 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.001</span>,\n", |
| 201 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.0</span>,\n", |
| 202 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.1</span>,\n", |
| 203 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00024827990873074545</span>,\n", |
| 204 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.2087728977063117</span>\n", |
| 205 | + " <span style=\"font-weight: bold\">]</span>,\n", |
| 206 | + " <span style=\"color: #008000; text-decoration-color: #008000\">'monte_carlo_calibration_parameters'</span>: <span style=\"font-weight: bold\">[</span>\n", |
| 207 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.2809924457194377</span>,\n", |
| 208 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.8237298558744328</span>,\n", |
| 209 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">464.7470066408867</span>,\n", |
| 210 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.5984658697300798</span>,\n", |
| 211 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.29785129445020814</span>,\n", |
| 212 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.1825488171931156</span>,\n", |
| 213 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.07487754017358864</span>,\n", |
| 214 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.008908532718571173</span>,\n", |
| 215 | + " <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.605800944680686</span>\n", |
| 216 | + " <span style=\"font-weight: bold\">]</span>\n", |
195 | 217 | "<span style=\"font-weight: bold\">}</span>\n", |
196 | 218 | "</pre>\n" |
197 | 219 | ], |
|
211 | 233 | " \u001b[32m'path_ERA5'\u001b[0m: \u001b[32m'/home/mmelotto/my_data/workshop_africa/forcing_data/AF_1491830.0/ERA5'\u001b[0m,\n", |
212 | 234 | " \u001b[32m'path_CMIP6'\u001b[0m: \u001b[32m'/home/mmelotto/my_data/workshop_africa/forcing_data/AF_1491830.0/CMIP6'\u001b[0m,\n", |
213 | 235 | " \u001b[32m'path_output'\u001b[0m: \u001b[32m'/home/mmelotto/my_data/workshop_africa/output_data/AF_1491830.0'\u001b[0m,\n", |
214 | | - " \u001b[32m'hbv_parameters'\u001b[0m: \u001b[1m[\u001b[0m\u001b[1;36m10.0\u001b[0m, \u001b[1;36m0.87\u001b[0m, \u001b[1;36m592.0\u001b[0m, \u001b[1;36m1.4\u001b[0m, \u001b[1;36m0.3\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m0.09\u001b[0m, \u001b[1;36m0.01\u001b[0m, \u001b[1;36m0.001\u001b[0m\u001b[1m]\u001b[0m\n", |
| 236 | + " \u001b[32m'hbv_parameters'\u001b[0m: \u001b[1m[\u001b[0m\u001b[1;36m10.0\u001b[0m, \u001b[1;36m0.87\u001b[0m, \u001b[1;36m592.0\u001b[0m, \u001b[1;36m1.4\u001b[0m, \u001b[1;36m0.3\u001b[0m, \u001b[1;36m1.0\u001b[0m, \u001b[1;36m0.09\u001b[0m, \u001b[1;36m0.01\u001b[0m, \u001b[1;36m0.001\u001b[0m\u001b[1m]\u001b[0m,\n", |
| 237 | + " \u001b[32m'SCE_calibration_parameters'\u001b[0m: \u001b[1m[\u001b[0m\n", |
| 238 | + " \u001b[1;36m6.586012553845907\u001b[0m,\n", |
| 239 | + " \u001b[1;36m1.0\u001b[0m,\n", |
| 240 | + " \u001b[1;36m557.8536779504233\u001b[0m,\n", |
| 241 | + " \u001b[1;36m2.939688843608312\u001b[0m,\n", |
| 242 | + " \u001b[1;36m0.001\u001b[0m,\n", |
| 243 | + " \u001b[1;36m1.0\u001b[0m,\n", |
| 244 | + " \u001b[1;36m0.1\u001b[0m,\n", |
| 245 | + " \u001b[1;36m0.00024827990873074545\u001b[0m,\n", |
| 246 | + " \u001b[1;36m3.2087728977063117\u001b[0m\n", |
| 247 | + " \u001b[1m]\u001b[0m,\n", |
| 248 | + " \u001b[32m'monte_carlo_calibration_parameters'\u001b[0m: \u001b[1m[\u001b[0m\n", |
| 249 | + " \u001b[1;36m2.2809924457194377\u001b[0m,\n", |
| 250 | + " \u001b[1;36m0.8237298558744328\u001b[0m,\n", |
| 251 | + " \u001b[1;36m464.7470066408867\u001b[0m,\n", |
| 252 | + " \u001b[1;36m1.5984658697300798\u001b[0m,\n", |
| 253 | + " \u001b[1;36m0.29785129445020814\u001b[0m,\n", |
| 254 | + " \u001b[1;36m1.1825488171931156\u001b[0m,\n", |
| 255 | + " \u001b[1;36m0.07487754017358864\u001b[0m,\n", |
| 256 | + " \u001b[1;36m0.008908532718571173\u001b[0m,\n", |
| 257 | + " \u001b[1;36m5.605800944680686\u001b[0m\n", |
| 258 | + " \u001b[1m]\u001b[0m\n", |
215 | 259 | "\u001b[1m}\u001b[0m\n" |
216 | 260 | ] |
217 | 261 | }, |
|
845 | 889 | "cell_type": "code", |
846 | 890 | "execution_count": null, |
847 | 891 | "id": "9815a3f9-a171-474f-9b4d-07cfac39f21a", |
848 | | - "metadata": {}, |
| 892 | + "metadata": { |
| 893 | + "scrolled": true |
| 894 | + }, |
849 | 895 | "outputs": [], |
850 | 896 | "source": [ |
851 | 897 | "# Re-install correct numpy for ESMVAlTool\n", |
852 | 898 | "!pip install esmvaltool" |
853 | 899 | ] |
854 | | - }, |
855 | | - { |
856 | | - "cell_type": "code", |
857 | | - "execution_count": null, |
858 | | - "id": "0ca1d5e9-3b8b-46c4-8006-aa60a33f7567", |
859 | | - "metadata": {}, |
860 | | - "outputs": [], |
861 | | - "source": [] |
862 | 900 | } |
863 | 901 | ], |
864 | 902 | "metadata": { |
|
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