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Global agroclimatic patterns
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Focus and perspectives
Annex A. Agroclimatic indicators and BIOMSSAnnex
Authors: 超级管理员 | Edit: yannn
Annex A. Agroclimatic indicators
Table A.1 January - April 2020 agroclimatic indicators by global Monitoring and Reporting Unit (MRU)
| 65 Global MRUs | RAIN Current(mm) | RAIN 15YA dep. (%) | TEMP Current (°C) | TEMP 15YA dep. (°C) | RADPAR Current(MJ/m2) | RADPAR 15YA dep. (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA dep. (%) | |
| C01 | Equatorial central Africa | 737 | -5 | 23.5 | -0.1 | 1184 | -1 | 643 | -8 |
| C02 | East African highlands | 478 | 93 | 19.7 | -0.4 | 1274 | -5 | 511 | 2 |
| C03 | Gulf of Guinea | 124 | -15 | 27.4 | 0 | 1330 | 2 | 452 | -14 |
| C04 | Horn of Africa | 816 | 87 | 21.2 | -0.5 | 1182 | -8 | 617 | -6 |
| C05 | Madagascar (main) | 1095 | -6 | 22.4 | 0.1 | 1166 | -1 | 711 | -6 |
| C06 | Southwest Madagascar | 291 | -48 | 25.7 | 0.7 | 1295 | 5 | 790 | 0 |
| C07 | North Africa-Mediterranean | 176 | -17 | 11.2 | 0.5 | 959 | 0 | 284 | -9 |
| C08 | Sahel | 22 | 9 | 27.3 | -0.3 | 1363 | -1 | 164 | -2 |
| C09 | Southern Africa | 601 | 3 | 22 | 0 | 1226 | 1 | 706 | -4 |
| C10 | Western Cape (South Africa) | 114 | -6 | 19.1 | 0 | 1251 | -1 | 624 | -4 |
| C11 | British Columbia to Colorado | 372 | 1 | -2.4 | 0 | 700 | -1 | 108 | -4 |
| C12 | Northern Great Plains | 244 | 7 | 0.6 | 0.1 | 716 | -3 | 135 | -1 |
| C13 | Corn Belt | 474 | 14 | 1.3 | 1 | 602 | -9 | 107 | -15 |
| C14 | Cotton Belt to Mexican Nordeste | 511 | 35 | 12.8 | 1.3 | 790 | -10 | 312 | -4 |
| C15 | Sub-boreal America | 234 | 9 | -7.4 | 0.4 | 507 | -5 | 57 | -12 |
| C16 | West Coast (North America) | 408 | -21 | 7.3 | 0.1 | 776 | 2 | 206 | 5 |
| C17 | Sierra Madre | 108 | 30 | 17.1 | 0.5 | 1249 | -3 | 366 | 8 |
| C18 | SW U.S. and N. Mexican highlands | 133 | 3 | 9.5 | 0.2 | 1023 | -4 | 272 | 15 |
| C19 | Northern South and Central America | 291 | -31 | 24.1 | 0.8 | 1196 | 3 | 569 | -8 |
| C20 | Caribbean | 121 | -42 | 24.2 | 0.8 | 1149 | 0 | 690 | -5 |
| C21 | Central-northern Andes | 789 | -20 | 15.6 | 0.3 | 1077 | 3 | 414 | -8 |
| C22 | Nordeste (Brazil) | 724 | 79 | 25.3 | -0.2 | 1216 | -3 | 780 | -7 |
| C23 | Central eastern Brazil | 964 | 3 | 23.5 | 0 | 1181 | 0 | 735 | -7 |
| C24 | Amazon | 1156 | -11 | 24.6 | 0.4 | 1092 | 3 | 706 | -1 |
| C25 | Central-north Argentina | 587 | 17 | 23.3 | -0.1 | 1170 | 2 | 694 | -3 |
| C26 | Pampas | 334 | -31 | 22.3 | 0 | 1227 | 4 | 684 | -2 |
| C27 | Western Patagonia | 206 | -23 | 14 | 0.4 | 1220 | 2 | 323 | -11 |
| C28 | Semi-arid Southern Cone | 206 | 11 | 18.8 | 0.4 | 1288 | -1 | 508 | -5 |
| C29 | Caucasus | 360 | 7 | 3 | 0 | 781 | -2 | 166 | -9 |
| C30 | Pamir area | 489 | 20 | 2.7 | -0.4 | 856 | -5 | 190 | -9 |
| C31 | Western Asia | 252 | 32 | 7.4 | 0.5 | 863 | -4 | 254 | 2 |
| C32 | Gansu-Xinjiang (China) | 99 | 1 | -1.3 | 1.1 | 891 | 0 | 160 | -4 |
| C33 | Hainan (China) | 231 | -17 | 22 | 0.7 | 992 | 6 | 605 | 8 |
| C34 | Huanghuaihai (China) | 135 | 51 | 6.9 | 1.2 | 885 | -4 | 205 | -9 |
| C35 | Inner Mongolia (China) | 69 | 34 | -4 | 0.9 | 891 | -2 | 126 | -11 |
| C36 | Loess region (China) | 90 | 6 | 2.7 | 0.8 | 973 | -1 | 178 | -13 |
| C37 | Lower Yangtze (China) | 584 | 18 | 11.1 | 1 | 696 | -2 | 234 | -3 |
| C38 | Northeast China | 109 | 10 | -5 | 1.8 | 759 | -4 | 111 | -3 |
| C39 | Qinghai-Tibet (China) | 427 | 18 | -0.8 | -1.4 | 1002 | -5 | 140 | -22 |
| C40 | Southern China | 418 | 12 | 15.6 | 0.6 | 818 | -1 | 345 | 0 |
| C41 | Southwest China | 395 | 36 | 8.8 | 0.4 | 730 | -9 | 211 | -16 |
| C42 | Taiwan (China) | 151 | -53 | 19.9 | 0.7 | 1080 | 13 | 524 | 20 |
| C43 | East Asia | 295 | 2 | -0.7 | 1.5 | 767 | -1 | 121 | -6 |
| C44 | Southern Himalayas | 233 | 42 | 17.7 | -1 | 1074 | -5 | 420 | 12 |
| C45 | Southern Asia | 73 | -18 | 25.2 | -0.4 | 1239 | -4 | 522 | 24 |
| C46 | Southern Japan and Korea | 523 | 7 | 7.5 | 1.4 | 811 | 1 | 203 | -2 |
| C47 | Southern Mongolia | 35 | -47 | -9.7 | 2.9 | 840 | 2 | 99 | 11 |
| C48 | Punjab to Gujarat | 125 | 116 | 21.6 | -1.1 | 1151 | -4 | 388 | 42 |
| C49 | Maritime Southeast Asia | 1276 | -3 | 24.6 | 0.5 | 1149 | 5 | 759 | 4 |
| C50 | Mainland Southeast Asia | 143 | -40 | 25.1 | 0.4 | 1228 | 4 | 523 | -10 |
| C51 | Eastern Siberia | 187 | -13 | -7.1 | 3.3 | 562 | 0 | 72 | 13 |
| C52 | Eastern Central Asia | 93 | 7 | -10 | 2.9 | 703 | -1 | 83 | 11 |
| C53 | Northern Australia | 871 | -15 | 26.4 | 0.7 | 1309 | 6 | 867 | 5 |
| C54 | Queensland to Victoria | 308 | 44 | 20.6 | -0.5 | 1151 | -4 | 613 | -4 |
| C55 | Nullarbor to Darling | 73 | -32 | 21.1 | 0.1 | 1238 | 0 | 691 | 6 |
| C56 | New Zealand | 176 | -43 | 14.4 | -0.1 | 1069 | 7 | 417 | 4 |
| C57 | Boreal Eurasia | 390 | 30 | -1.6 | 3.1 | 390 | 0 | 62 | 10 |
| C58 | Ukraine to Ural mountains | 277 | 8 | 1.1 | 3.3 | 426 | -4 | 80 | -5 |
| C59 | Mediterranean Europe and Turkey | 323 | -11 | 7.4 | 0.3 | 774 | -2 | 207 | -6 |
| C60 | W. Europe (non Mediterranean) | 305 | -8 | 5.5 | 1.4 | 608 | 8 | 140 | 4 |
| C61 | Boreal America | 268 | -14 | -9 | -1.2 | 415 | -6 | 45 | -7 |
| C62 | Ural to Altai mountains | 244 | 35 | -2.4 | 4.6 | 506 | -9 | 91 | 8 |
| C63 | Australian desert | 109 | 1 | 21.7 | -0.9 | 1272 | -1 | 665 | 1 |
| C64 | Sahara to Afghan deserts | 105 | 37 | 16.5 | -0.3 | 1129 | -2 | 381 | 12 |
| C65 | Sub-arctic America | 67 | -19 | -23.1 | -0.4 | 318 | -1 | 14 | -8 |
Table A.2 January - April 2020 agroclimatic indicators by country
| Country code | Country name | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure(°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA Departure (%) |
| ARG | Argentina | 405 | 6 | 22 | -0.1 | 1201 | 2 | 649 | -3 |
| AUS | Australia | 304 | 17 | 21.3 | -0.3 | 1176 | -2 | 639 | -1 |
| BGD | Bangladesh | 164 | 22 | 22.3 | -1.1 | 1167 | -2 | 531 | 9 |
| BRA | Brazil | 998 | -2 | 23.7 | 0.1 | 1164 | 1 | 731 | -5 |
| KHM | Cambodia | 173 | -46 | 27.5 | 0.8 | 1222 | 5 | 653 | -4 |
| CAN | Canada | 315 | 4 | -5.4 | 0.4 | 546 | -3 | 65 | -7 |
| CHN | China | 347 | 20 | 7.1 | 0.8 | 791 | -4 | 194 | -7 |
| EGY | Egypt | 112 | 136 | 14.8 | -0.7 | 963 | -6 | 302 | 13 |
| ETH | Ethiopia | 264 | 54 | 20.5 | -0.2 | 1308 | -4 | 482 | 8 |
| FRA | France | 358 | -2 | 7.4 | 1.9 | 623 | 3 | 162 | 7 |
| DEU | Germany | 311 | 4 | 5.1 | 1.8 | 566 | 10 | 129 | 8 |
| IND | India | 110 | 27 | 22.6 | -0.8 | 1181 | -5 | 463 | 29 |
| IDN | Indonesia | 1422 | 1 | 24.7 | 0.4 | 1149 | 5 | 768 | 4 |
| IRN | Iran | 312 | 47 | 7.1 | -0.5 | 942 | -5 | 281 | 0 |
| KAZ | Kazakhstan | 218 | 27 | -1.2 | 3.9 | 613 | -6 | 117 | 10 |
| MEX | Mexico | 125 | 4 | 19.7 | 0.8 | 1200 | -3 | 422 | 5 |
| MMR | Myanmar | 136 | 7 | 21.1 | -0.2 | 1257 | 1 | 316 | -26 |
| NGA | Nigeria | 90 | -31 | 26.9 | -0.2 | 1355 | 2 | 296 | -20 |
| PAK | Pakistan | 426 | 43 | 11.5 | -1.5 | 983 | -5 | 339 | 11 |
| PHL | Philippines | 339 | -46 | 24.9 | 0.3 | 1216 | 6 | 790 | 3 |
| POL | Poland | 231 | -11 | 4.1 | 2 | 530 | 11 | 116 | 10 |
| ROU | Romania | 180 | -34 | 4.2 | 1.2 | 707 | 11 | 147 | -2 |
| RUS | Russia | 258 | 17 | -1.7 | 3.9 | 454 | -8 | 77 | 0 |
| ZAF | South Africa | 228 | -4 | 19.4 | -0.2 | 1264 | 1 | 668 | 1 |
| THA | Thailand | 164 | -40 | 26.1 | 0.7 | 1214 | 4 | 610 | -4 |
| TUR | Turkey | 389 | 5 | 3.8 | -0.3 | 796 | -2 | 178 | -10 |
| GBR | United Kingdom | 430 | 13 | 6 | 0.8 | 460 | 9 | 110 | 11 |
| UKR | Ukraine | 183 | -25 | 3.5 | 2.2 | 585 | 11 | 125 | 6 |
| USA | United States | 411 | 17 | 5.9 | 0.7 | 733 | -7 | 186 | -3 |
| UZB | Uzbekistan | 288 | 20 | 6.8 | 0.5 | 815 | -3 | 244 | 8 |
| VNM | Vietnam | 274 | -7 | 21.2 | 0.4 | 976 | 1 | 500 | -8 |
| AFG | Afghanistan | 382 | 25 | 4.8 | -0.4 | 912 | -6 | 254 | 0 |
| AGO | Angola | 901 | 10 | 22.1 | -0.1 | 1158 | -1 | 654 | -8 |
| BLR | Belarus | 220 | -15 | 2.5 | 2.8 | 428 | 2 | 84 | -1 |
| HUN | Hungary | 159 | -34 | 5.1 | 0.7 | 696 | 11 | 146 | -9 |
| ITA | Italy | 223 | -43 | 7 | 0.6 | 783 | 8 | 198 | -5 |
| KEN | Kenya | 899 | 120 | 20.4 | -0.8 | 1245 | -6 | 669 | -2 |
| LKA | Sri_Lanka | 243 | -58 | 26 | 0.7 | 1326 | 7 | 828 | 1 |
| MAR | Morocco | 167 | -21 | 11.5 | 0.7 | 1017 | 0 | 266 | -12 |
| MNG | Mongolia | 84 | 31 | -10 | 2.5 | 786 | -1 | 93 | 10 |
| MOZ | Mozambique | 724 | -4 | 23.6 | 0 | 1220 | 2 | 768 | -4 |
| ZMB | Zambia | 955 | 1 | 21.1 | 0.2 | 1140 | -3 | 631 | -13 |
Note: Departures are expressed in relative terms (percentage) forall variables, except for temperature, for which absolute departure in degrees Celsius is given. Zero means no change from the average value; relative departures are calculated as (C-R)/R*100, with C=current value and R=reference value, which is the fifteen-year average (15YA) for the same period between January and April.
Table A.3 Argentina, January - April 2020 agroclimatic indicators (by province)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure(°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA Departure (%) | |
| Buenos Aires | 317 | 34 | 20.5 | -0.4 | 1217 | 0 | 657 | 2 |
| Chaco | 396 | -20 | 24.6 | -0.3 | 1182 | 4 | 706 | -1 |
| Cordoba | 323 | 22 | 22.3 | 0 | 1212 | -1 | 692 | 1 |
| Corrientes | 349 | -32 | 24.3 | 0.2 | 1237 | 6 | 657 | -11 |
| Entre Rios | 327 | -13 | 22.9 | -0.1 | 1233 | 4 | 646 | -6 |
| La Pampa | 206 | 26 | 21.7 | -0.3 | 1239 | -1 | 704 | 4 |
| Misiones | 371 | -44 | 22.7 | -0.4 | 1292 | 9 | 738 | -3 |
| Santiago Del Estero | 583 | 32 | 23.6 | -0.6 | 1147 | 2 | 686 | -3 |
| San Luis | 234 | 24 | 21.8 | 0.3 | 1238 | -1 | 718 | 5 |
| Salta | 1118 | 31 | 20.2 | -0.1 | 1064 | -3 | 570 | -13 |
| Santa Fe | 395 | 11 | 23.8 | 0 | 1199 | 2 | 655 | -5 |
| Tucuman | 783 | 34 | 19.7 | 0.4 | 1102 | -5 | 589 | -13 |
Table A.4 Australia, January - April 2020 agroclimatic indicators (by state)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure(°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA Departure (%) | |
| New South Wales | 332 | 59 | 21.3 | -0.6 | 1178 | -5 | 626 | -3 |
| South Australia | 141 | 29 | 19.3 | -1.2 | 1140 | -5 | 601 | -3 |
| Victoria | 277 | 57 | 17.6 | -1.1 | 1042 | -9 | 536 | -7 |
| W. Australia | 126 | -28 | 22 | 0.2 | 1248 | 0 | 692 | 5 |
Table A.5 Brazil, January - April 2020 agroclimatic indicators (by state)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA Departure (%) | |
| Ceara | 964 | 60 | 25.5 | -0.6 | 1250 | 1 | 836 | 0 |
| Goias | 1070 | 0 | 22.9 | 0.1 | 1197 | -2 | 741 | -8 |
| Mato Grosso Do Sul | 692 | -20 | 24.6 | 0 | 1278 | 7 | 821 | 3 |
| Mato Grosso | 1159 | -9 | 24.4 | 0.3 | 1153 | 4 | 757 | 0 |
| Minas Gerais | 1123 | 23 | 21.5 | -0.2 | 1113 | -7 | 651 | -17 |
| Parana | 502 | -41 | 21.1 | -0.4 | 1257 | 9 | 695 | -5 |
| Rio Grande Do Sul | 215 | -61 | 22.2 | 0.4 | 1240 | 6 | 707 | -2 |
| Santa Catarina | 435 | -42 | 19.2 | -0.5 | 1212 | 9 | 623 | -5 |
| Sao Paulo | 898 | -17 | 21.7 | -0.6 | 1186 | 4 | 694 | -6 |
Table A.6 Canada, January - April 2020 agroclimatic indicators (by province)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA Departure (%) | |
| Alberta | 182 | -1 | -6.1 | -1 | 570 | 3 | 75 | -5 |
| Manitoba | 220 | 17 | -6.3 | 0.8 | 530 | -9 | 62 | -15 |
| Saskatchewan | 181 | 3 | -6 | 0.1 | 566 | -1 | 74 | -3 |
Table A.7 India, January - April 2020 agroclimatic indicators (by state)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA Departure (%) | |
| Andhra Pradesh | 39 | -20 | 26.6 | -0.2 | 1243 | -5 | 494 | 26 |
| Assam | 432 | 10 | 17.9 | -0.8 | 995 | -5 | 468 | -7 |
| Bihar | 109 | 160 | 21.1 | -1.8 | 1129 | -6 | 475 | 19 |
| Chhattisgarh | 62 | 68 | 23.8 | -0.6 | 1174 | -7 | 522 | 42 |
| Daman and Diu | 0 | -86 | 26.3 | 0 | 1374 | 0 | 174 | 44 |
| Delhi | 180 | 290 | 19 | -1.7 | 1067 | -7 | 481 | 29 |
| Gujarat | 4 | 24 | 25.7 | -0.4 | 1313 | -1 | 197 | 37 |
| Goa | 2 | -87 | 26.9 | 0.2 | 1385 | -1 | 342 | 41 |
| Himachal Pradesh | 441 | 39 | 8.5 | -2.1 | 1002 | -4 | 278 | 18 |
| Haryana | 195 | 227 | 18.6 | -1.9 | 1054 | -6 | 517 | 43 |
| Jharkhand | 119 | 241 | 21.5 | -1.6 | 1133 | -7 | 490 | 35 |
| Kerala | 198 | -35 | 26.4 | 0.4 | 1307 | 0 | 723 | 1 |
| Karnataka | 32 | -51 | 26.1 | 0.1 | 1286 | -4 | 508 | 19 |
| Meghalaya | 297 | 0 | 18.6 | -0.5 | 1064 | -3 | 466 | 0 |
| Maharashtra | 15 | -4 | 26.3 | -0.4 | 1278 | -5 | 408 | 43 |
| Manipur | 322 | 24 | 14.8 | -0.9 | 1107 | -5 | 398 | -11 |
| Madhya Pradesh | 33 | 57 | 23 | -1 | 1182 | -6 | 449 | 49 |
| Mizoram | 185 | -1 | 17.3 | -1.4 | 1201 | -2 | 439 | -7 |
| Nagaland | 733 | 76 | 14.1 | -0.8 | 983 | -9 | 385 | -16 |
| Orissa | 82 | 102 | 23.9 | -0.7 | 1156 | -7 | 573 | 42 |
| Puducherry | 62 | -51 | 27.4 | 0.2 | 1386 | 1 | 735 | 15 |
| Punjab | 321 | 145 | 16.9 | -2.4 | 999 | -5 | 483 | 24 |
| Rajasthan | 33 | 98 | 22.2 | -0.9 | 1158 | -5 | 443 | 64 |
| Sikkim | 80 | 4 | 8.6 | -1.5 | 1207 | -4 | 251 | 16 |
| Tamil Nadu | 116 | -49 | 26 | 0.1 | 1309 | 0 | 658 | -1 |
| Tripura | 225 | -13 | 21.1 | -1 | 1143 | -2 | 559 | 8 |
| Uttarakhand | 231 | 86 | 11.2 | -2.5 | 1066 | -6 | 315 | 10 |
| Uttar Pradesh | 103 | 139 | 20.5 | -1.6 | 1108 | -6 | 508 | 35 |
| West Bengal | 125 | 93 | 22.3 | -1.5 | 1150 | -5 | 521 | 21 |
Table A.8 Kazakhstan, January - April 2020 agroclimatic indicators (by oblast)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA Departure (%) | |
| Akmolinskaya | 229 | 65 | -2.1 | 4.9 | 561 | -8 | 102 | 16 |
| Karagandinskaya | 138 | 15 | -2.8 | 3.9 | 660 | -5 | 115 | 14 |
| Kustanayskaya | 231 | 46 | -1.8 | 4.9 | 486 | -14 | 85 | 0 |
| Pavlodarskaya | 181 | 59 | -1.9 | 5.3 | 571 | -4 | 109 | 21 |
| Severo kazachstanskaya | 241 | 58 | -2 | 5.5 | 469 | -10 | 84 | 13 |
| Vostochno kazachstanskaya | 178 | -2 | -3.1 | 3.2 | 713 | 0 | 123 | 23 |
| Zapadno kazachstanskaya | 194 | -1 | 1 | 4.2 | 543 | -6 | 107 | 2 |
Table A.9 Russia, January - April 2020 agroclimatic indicators (by oblast, kray and republic)
| RAIN Current(mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA Departure (%) | |
| Bashkortostan Rep. | 340 | 43 | -2.3 | 4.4 | 388 | -16 | 61 | -10 |
| Chelyabinskaya Oblast | 227 | 32 | -2.7 | 4.5 | 437 | -12 | 68 | -5 |
| Gorodovikovsk | 151 | -36 | 4.2 | 1.6 | 643 | 7 | 146 | 4 |
| Krasnodarskiy Kray | 212 | -18 | 0.5 | 3.1 | 584 | 4 | 110 | 11 |
| Kurganskaya Oblast | 228 | 32 | -2.4 | 5 | 383 | -15 | 63 | -3 |
| Kirovskaya Oblast | 412 | 48 | -1.9 | 4.4 | 248 | -29 | 37 | -28 |
| Kurskaya Oblast | 250 | -4 | 1.6 | 3 | 449 | 0 | 85 | -5 |
| Lipetskaya Oblast | 270 | 6 | 1 | 3.5 | 417 | -8 | 76 | -10 |
| Mordoviya Rep. | 392 | 56 | -0.3 | 4 | 330 | -23 | 55 | -24 |
| Novosibirskaya Oblast | 264 | 45 | -3.1 | 5.8 | 393 | -14 | 68 | 9 |
| Nizhegorodskaya O. | 364 | 39 | -0.5 | 4.2 | 298 | -24 | 48 | -26 |
| Orenburgskaya Oblast | 290 | 30 | -1.2 | 4.4 | 469 | -13 | 81 | -4 |
| Omskaya Oblast | 279 | 57 | -2.5 | 6 | 370 | -16 | 66 | 9 |
| Permskaya Oblast | 372 | 38 | -2.6 | 4.7 | 267 | -26 | 40 | -20 |
| Penzenskaya Oblast | 365 | 43 | -0.1 | 3.9 | 367 | -18 | 63 | -17 |
| Rostovskaya Oblast | 192 | -23 | 3.2 | 2.2 | 610 | 7 | 131 | 5 |
| Ryazanskaya Oblast | 329 | 26 | 0.6 | 3.8 | 345 | -18 | 60 | -20 |
| Stavropolskiy Kray | 166 | -37 | 3.7 | 1.2 | 681 | 9 | 150 | 2 |
| Sverdlovskaya Oblast | 253 | 20 | -2.9 | 4.8 | 325 | -17 | 50 | -9 |
| Samarskaya Oblast | 322 | 34 | -0.5 | 4.5 | 418 | -12 | 73 | -5 |
| Saratovskaya Oblast | 275 | 16 | 0.5 | 3.9 | 466 | -9 | 87 | -5 |
| Tambovskaya Oblast | 319 | 23 | 0.7 | 3.7 | 408 | -12 | 74 | -12 |
| Tyumenskaya Oblast | 284 | 50 | -2.7 | 5.4 | 328 | -18 | 55 | -1 |
| Tatarstan Rep. | 346 | 39 | -1.1 | 4.6 | 323 | -20 | 53 | -16 |
| Ulyanovskaya Oblast | 317 | 35 | -0.5 | 4.3 | 374 | -16 | 64 | -12 |
| Udmurtiya Rep. | 397 | 47 | -1.9 | 4.7 | 257 | -29 | 39 | -26 |
| Volgogradskaya O. | 211 | -5 | 1.8 | 3.2 | 542 | -2 | 107 | -3 |
| Voronezhskaya Oblast | 247 | -4 | 1.5 | 3.3 | 500 | -2 | 95 | -3 |
Table A.10 United States, January - April 2020 agroclimatic indicators (by state)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA Departure (%) | |
| Arkansas | 713 | 41 | 10.1 | 0.8 | 675 | -14 | 214 | -18 |
| California | 229 | -43 | 9.1 | 0.2 | 903 | 1 | 239 | 5 |
| Idaho | 367 | 1 | -0.4 | 0.3 | 719 | 1 | 129 | 3 |
| Indiana | 500 | 6 | 4.2 | 0.8 | 605 | -12 | 133 | -18 |
| Illinois | 495 | 19 | 3.9 | 0.5 | 623 | -12 | 137 | -18 |
| Iowa | 281 | -9 | 1 | 0.5 | 679 | -3 | 132 | -4 |
| Kansas | 270 | 30 | 6.3 | 0.2 | 821 | -5 | 214 | 1 |
| Michigan | 383 | 8 | -0.6 | 0.9 | 543 | -12 | 85 | -19 |
| Minnesota | 243 | -5 | -3.1 | 0.7 | 612 | -3 | 91 | -8 |
| Missouri | 493 | 28 | 5.9 | 0.4 | 690 | -9 | 173 | -14 |
| Montana | 223 | -6 | -1.8 | -0.1 | 728 | 3 | 117 | -1 |
| Nebraska | 192 | -7 | 2.7 | 0 | 806 | -1 | 171 | 3 |
| North Dakota | 150 | -21 | -3.1 | 0.3 | 667 | 0 | 103 | 1 |
| Ohio | 499 | 11 | 3.9 | 1.2 | 591 | -12 | 125 | -18 |
| Oklahoma | 420 | 51 | 9.8 | 0.4 | 795 | -9 | 254 | -4 |
| Oregon | 430 | -13 | 3.8 | 0.2 | 682 | 4 | 145 | 4 |
| South Dakota | 191 | -11 | -0.4 | -0.1 | 750 | 2 | 135 | 2 |
| Texas | 342 | 40 | 14.4 | 0.7 | 834 | -11 | 340 | -3 |
| Washington | 514 | 3 | 3.2 | 0.2 | 604 | 3 | 130 | 1 |
| Wisconsin | 316 | 3 | -1.9 | 0.9 | 594 | -7 | 89 | -15 |
Table A.11 China, January - April 2020 agroclimatic indicators (by province)
| RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure (°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA Departure (%) | |
| Anhui | 413 | 27 | 9.5 | 1.2 | 750 | -8 | 238 | -6 |
| Chongqing | 523 | 59 | 9.3 | 0.3 | 628 | -15 | 189 | -17 |
| Fujian | 578 | -6 | 12.7 | 0.8 | 748 | 7 | 275 | 8 |
| Gansu | 113 | -13 | 0.9 | 0.5 | 972 | -1 | 162 | -16 |
| Guangdong | 526 | -5 | 16.7 | 1 | 740 | 7 | 349 | 11 |
| Guangxi | 589 | 35 | 14.9 | 0.8 | 572 | -7 | 241 | -11 |
| Guizhou | 483 | 26 | 9.7 | 0.5 | 540 | -16 | 166 | -23 |
| Hebei | 72 | 52 | 1.4 | 0.7 | 925 | -1 | 157 | -13 |
| Heilongjiang | 111 | 5 | -6.4 | 2.2 | 722 | -3 | 103 | 0 |
| Henan | 197 | 49 | 8.3 | 1.1 | 856 | -6 | 233 | -6 |
| Hubei | 462 | 43 | 9 | 0.8 | 729 | -9 | 221 | -9 |
| Hunan | 658 | 29 | 10.6 | 0.9 | 617 | -5 | 203 | -6 |
| Jiangsu | 275 | 21 | 9.2 | 1.5 | 823 | -5 | 242 | -2 |
| Jiangxi | 682 | 12 | 11.7 | 1.1 | 677 | 1 | 235 | -1 |
| Jilin | 124 | 20 | -4.3 | 1.6 | 774 | -7 | 120 | -7 |
| Liaoning | 85 | 10 | -1.4 | 0.7 | 848 | -4 | 140 | -10 |
| Inner Mongolia | 72 | 30 | -5.7 | 1.3 | 847 | -2 | 116 | -7 |
| Ningxia | 44 | -32 | 1 | 0.5 | 1028 | 2 | 175 | -11 |
| Shaanxi | 140 | 9 | 4.8 | 0.8 | 921 | -2 | 192 | -13 |
| Shandong | 121 | 54 | 6.8 | 1.2 | 902 | -3 | 196 | -14 |
| Shanxi | 75 | 20 | 1.5 | 0.8 | 954 | -1 | 160 | -16 |
| Sichuan | 356 | 28 | 6.9 | 0.1 | 803 | -8 | 201 | -20 |
| Yunnan | 323 | 54 | 11.3 | -0.1 | 984 | -5 | 314 | -10 |
| Zhejiang | 539 | 4 | 10 | 1.1 | 731 | -1 | 228 | -3 |