English
中文
Bulletin
wall bulletinMenu
Executive summary
Global agroclimatic patterns
Crop and environmental conditions in major production zones
Main producing and exporting countries
- Overview
- Country analysis
- Afghanistan
- Angola
- Argentina
- Australia
- Bangladesh
- Belarus
- Brazil
- Canada
- Germany
- Egypt
- Ethiopia
- France
- United Kingdom
- Hungary
- Indonesia
- India
- Iran
- Italy
- Kazakhstan
- Kenya
- Cambodia
- Sri Lanka
- Morocco
- Mexico
- Myanmar
- Mongolia
- Mozambique
- Nigeria
- Pakistan
- Philippines
- Poland
- Romania
- Russia
- Thailand
- Turkey
- Ukraine
- United States
- Uzbekistan
- Viet Nam
- South Africa
- Zambia
- Kyrgyzstan
China
Focus and perspectives
Annex A. Agroclimatic indicators and BIOMSSAnnex
Authors: 超级管理员 | Edit: zhuliang
Table A.1 Jul 2020 - Oct 2020 agroclimatic indicators and biomass 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 | 701 | -8 | 22.6 | -0.2 | 1172 | -2 | 599 | -2 |
| C02 | East African highlands | 841 | 10 | 17.3 | -0.4 | 1122 | -5 | 472 | -8 |
| C03 | Gulf of Guinea | 767 | -22 | 24.8 | 0.1 | 1064 | -1 | 688 | -3 |
| C04 | Horn of Africa | 221 | 29 | 21.0 | -0.1 | 1211 | -3 | 549 | -5 |
| C05 | Madagascar (main) | 162 | -2 | 19.7 | 0.0 | 1092 | -3 | 490 | -6 |
| C06 | Southwest Madagascar | 21 | -42 | 22.1 | -0.1 | 1217 | 0 | 471 | -2 |
| C07 | North Africa-Mediterranean | 55 | -36 | 23.3 | 0.0 | 1331 | -1 | 521 | -9 |
| C08 | Sahel | 596 | 3 | 26.6 | -0.6 | 1156 | -3 | 704 | -5 |
| C09 | Southern Africa | 67 | -8 | 19.5 | -0.2 | 1179 | -4 | 439 | -2 |
| C10 | Western Cape (South Africa) | 236 | 13 | 12.2 | -0.6 | 958 | 1 | 333 | -2 |
| C11 | British Columbia to Colorado | 249 | -8 | 12.7 | 0.3 | 1149 | 1 | 405 | -5 |
| C12 | Northern Great Plains | 224 | -17 | 18.0 | -0.6 | 1139 | 2 | 582 | 0 |
| C13 | Corn Belt | 341 | -6 | 17.4 | -0.3 | 1032 | -1 | 509 | 1 |
| C14 | Cotton Belt to Mexican Nordeste | 466 | 5 | 23.9 | -0.1 | 1173 | -2 | 709 | -3 |
| C15 | Sub-boreal America | 314 | 1 | 10.9 | -1.0 | 845 | -2 | 317 | -4 |
| C16 | West Coast (North America) | 98 | -30 | 19.1 | 1.2 | 1285 | 1 | 376 | -14 |
| C17 | Sierra Madre | 1154 | -7 | 19.9 | 0.3 | 1234 | 2 | 604 | -2 |
| C18 | SW U.S. and N. Mexican highlands | 190 | -36 | 22.0 | 0.9 | 1334 | 3 | 546 | -15 |
| C19 | Northern South and Central America | 1233 | -7 | 23.7 | 0.1 | 1202 | 0 | 750 | -1 |
| C20 | Caribbean | 800 | 7 | 26.6 | 0.3 | 1346 | 0 | 910 | 0 |
| C21 | Central-northern Andes | 469 | -6 | 14.5 | 0.1 | 1181 | -1 | 363 | -4 |
| C22 | Nordeste (Brazil) | 94 | -4 | 24.4 | 0.2 | 1240 | 2 | 638 | -1 |
| C23 | Central eastern Brazil | 210 | -16 | 24.1 | 0.9 | 1150 | 2 | 492 | -9 |
| C24 | Amazon | 330 | -18 | 26.3 | 0.6 | 1194 | 1 | 620 | -8 |
| C25 | Central-north Argentina | 133 | -10 | 18.1 | 0.6 | 1062 | 2 | 442 | 1 |
| C26 | Pampas | 324 | -24 | 15.7 | 0.4 | 908 | 3 | 363 | 2 |
| C27 | Western Patagonia | 584 | -17 | 6.3 | -0.3 | 762 | 4 | 163 | -6 |
| C28 | Semi-arid Southern Cone | 84 | -19 | 10.6 | -0.1 | 1054 | 3 | 222 | -15 |
| C29 | Caucasus | 150 | -26 | 19.1 | 0.5 | 1232 | -1 | 459 | 4 |
| C30 | Pamir area | 208 | 24 | 16.6 | -1.1 | 1323 | -5 | 419 | 9 |
| C31 | Western Asia | 65 | 8 | 22.7 | -0.4 | 1294 | -3 | 317 | 6 |
| C32 | Gansu-Xinjiang (China) | 216 | 13 | 14.9 | -1.1 | 1121 | -4 | 492 | -4 |
| C33 | Hainan (China) | 992 | -25 | 26.5 | 0.7 | 1131 | -5 | 776 | -4 |
| C34 | Huanghuaihai (China) | 502 | 19 | 21.6 | -0.4 | 1009 | -5 | 569 | -6 |
| C35 | Inner Mongolia (China) | 284 | 24 | 15.4 | -0.7 | 1025 | -7 | 460 | -8 |
| C36 | Loess region (China) | 365 | 1 | 16.0 | -0.7 | 1016 | -6 | 453 | -9 |
| C37 | Lower Yangtze (China) | 869 | 6 | 22.5 | -0.6 | 962 | -10 | 586 | -10 |
| C38 | Northeast China | 493 | 46 | 15.6 | -0.1 | 919 | -9 | 430 | -6 |
| C39 | Qinghai-Tibet (China) | 1179 | 8 | 11.5 | 0.2 | 913 | -9 | 278 | -9 |
| C40 | Southern China | 1235 | 3 | 22.7 | 0.1 | 1010 | -6 | 609 | -5 |
| C41 | Southwest China | 983 | 17 | 18.4 | -0.4 | 791 | -18 | 408 | -18 |
| C42 | Taiwan (China) | 424 | -60 | 27.1 | 1.1 | 1181 | -1 | 727 | -4 |
| C43 | East Asia | 797 | 25 | 16.7 | -0.2 | 860 | -9 | 398 | -10 |
| C44 | Southern Himalayas | 1368 | 0 | 24.3 | 0.5 | 1038 | -2 | 580 | -4 |
| C45 | Southern Asia | 1381 | 9 | 25.8 | 0.2 | 1049 | -1 | 680 | 1 |
| C46 | Southern Japan and the southern fringe of the Korea peninsula | 1035 | 13 | 21.5 | 0.0 | 963 | -7 | 556 | -8 |
| C47 | Southern Mongolia | 193 | 18 | 5.6 | -1.5 | 1079 | -5 | 311 | -8 |
| C48 | Punjab to Gujarat | 811 | 21 | 29.2 | 0.2 | 1144 | -1 | 629 | 3 |
| C49 | Maritime Southeast Asia | 1220 | 8 | 24.4 | 0.1 | 1133 | -2 | 743 | 0 |
| C50 | Mainland Southeast Asia | 1439 | 0 | 25.3 | 0.3 | 1085 | 0 | 722 | 0 |
| C51 | Eastern Siberia | 436 | 21 | 11.2 | 0.1 | 735 | -10 | 273 | -11 |
| C52 | Eastern Central Asia | 416 | 59 | 9.7 | -0.5 | 866 | -10 | 301 | -12 |
| C53 | Northern Australia | 171 | -8 | 24.3 | 0.4 | 1222 | -3 | 604 | -5 |
| C54 | Queensland to Victoria | 242 | 21 | 13.0 | 0.0 | 866 | -6 | 322 | -3 |
| C55 | Nullarbor to Darling | 187 | -21 | 13.5 | 0.5 | 873 | 2 | 343 | 8 |
| C56 | New Zealand | 309 | -19 | 8.7 | 0.5 | 686 | 0 | 190 | 3 |
| C57 | Boreal Eurasia | 421 | 6 | 10.6 | -0.1 | 689 | -4 | 239 | -7 |
| C58 | Ukraine to Ural mountains | 238 | -11 | 15.0 | 0.6 | 827 | 0 | 367 | -1 |
| C59 | Mediterranean Europe and Turkey | 138 | -18 | 20.0 | 0.4 | 1249 | 0 | 505 | -4 |
| C60 | W. Europe (non Mediterranean) | 356 | 10 | 15.9 | 0.3 | 905 | -3 | 408 | -2 |
| C61 | Boreal America | 410 | -14 | 7.8 | 0.0 | 639 | 4 | 185 | 3 |
| C62 | Ural to Altai mountains | 281 | 21 | 12.9 | -0.1 | 852 | -4 | 368 | 0 |
| C63 | Australian desert | 167 | 32 | 15.0 | 0.1 | 923 | -4 | 358 | -3 |
| C64 | Sahara to Afghan deserts | 33 | 46 | 28.2 | -0.2 | 1420 | -3 | 230 | 1 |
| C65 | Sub-arctic America | 176 | 0 | -0.5 | 0.4 | 630 | 0 | 115 | 0 |
Table A.2 Jul 2020 - Oct 2020 agroclimatic indicators by country
| Country code | Country name | 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. (%) |
| ARG | Argentina | 208 | -20 | 14.5 | 0.1 | 933 | 2 | 341 | 0 |
| AUS | Australia | 217 | 12 | 14.0 | 0.2 | 901 | -5 | 335 | -1 |
| BGD | Bangladesh | 2106 | 8 | 27.3 | 0.5 | 1055 | -3 | 718 | -2 |
| BRA | Brazil | 238 | -21 | 24.2 | 0.7 | 1153 | 2 | 529 | -7 |
| KHM | Cambodia | 1311 | -2 | 25.6 | 0.2 | 1091 | 1 | 735 | 1 |
| CAN | Canada | 321 | -4 | 12.3 | -0.6 | 902 | -1 | 341 | -1 |
| CHN | China | 806 | 10 | 19.5 | -0.4 | 942 | -10 | 487 | -9 |
| EGY | Egypt | 3 | -62 | 26.3 | 0.8 | 1365 | -2 | 159 | -19 |
| ETH | Ethiopia | 955 | 6 | 17.4 | -0.5 | 1114 | -7 | 469 | -9 |
| FRA | France | 324 | 6 | 16.3 | 0.4 | 964 | -2 | 444 | 1 |
| DEU | Germany | 321 | -1 | 15.1 | 0.4 | 838 | -4 | 361 | -3 |
| IND | India | 1306 | 5 | 26.1 | 0.3 | 1057 | 0 | 642 | 1 |
| IDN | Indonesia | 1082 | 10 | 24.2 | 0.1 | 1125 | -2 | 726 | -1 |
| IRN | Iran | 46 | -13 | 21.9 | -0.6 | 1370 | -4 | 275 | 18 |
| KAZ | Kazakhstan | 212 | 23 | 14.5 | -0.7 | 971 | -4 | 428 | 1 |
| MEX | Mexico | 986 | -6 | 22.8 | 0.3 | 1268 | 1 | 677 | -5 |
| MMR | Myanmar | 1589 | -4 | 24.1 | 0.6 | 979 | -3 | 621 | -2 |
| NGA | Nigeria | 708 | -27 | 25.1 | 0.0 | 1080 | -1 | 667 | -5 |
| PAK | Pakistan | 302 | -2 | 24.7 | -0.3 | 1310 | -3 | 525 | -1 |
| PHL | Philippines | 1623 | -2 | 25.7 | 0.4 | 1233 | 3 | 831 | 3 |
| POL | Poland | 325 | 13 | 15.6 | 0.5 | 824 | -3 | 365 | -5 |
| ROU | Romania | 277 | 16 | 17.9 | 0.7 | 1039 | -1 | 491 | -2 |
| RUS | Russia | 281 | 0 | 13.7 | 0.3 | 819 | -2 | 346 | -3 |
| ZAF | South Africa | 90 | -20 | 14.0 | -0.6 | 1107 | -1 | 369 | -4 |
| THA | Thailand | 1324 | 12 | 25.0 | 0.1 | 1076 | -2 | 713 | -1 |
| TUR | Turkey | 65 | -54 | 20.1 | 1.1 | 1304 | 2 | 437 | -6 |
| GBR | United Kingdom | 505 | 12 | 12.6 | -0.4 | 579 | -12 | 215 | -13 |
| UKR | Ukraine | 198 | -3 | 17.8 | 1.1 | 967 | 2 | 471 | 2 |
| USA | United States | 328 | -6 | 20.1 | -0.1 | 1149 | 0 | 570 | -3 |
| UZB | Uzbekistan | 35 | 4 | 20.6 | -1.5 | 1302 | -5 | 360 | 27 |
| VNM | Vietnam | 1577 | 13 | 24.0 | 0.2 | 1082 | -1 | 698 | 0 |
| AFG | Afghanistan | 49 | 29 | 18.1 | -1.2 | 1410 | -3 | 180 | 17 |
| AGO | Angola | 145 | -8 | 21.7 | 0.0 | 1305 | -2 | 448 | 7 |
| BLR | Belarus | 260 | -7 | 15.2 | 1.0 | 766 | -3 | 336 | -3 |
| HUN | Hungary | 295 | 39 | 18.3 | 0.3 | 1003 | -2 | 521 | 0 |
| ITA | Italy | 389 | 15 | 18.8 | 0.0 | 1133 | -1 | 545 | -2 |
| KEN | Kenya | 405 | 21 | 19.5 | -0.2 | 1156 | 0 | 596 | 0 |
| LKA | Sri_Lanka | 840 | -23 | 26.4 | 0.2 | 1191 | -3 | 782 | -3 |
| MAR | Morocco | 53 | -39 | 23.1 | 0.4 | 1345 | -1 | 587 | -3 |
| MNG | Mongolia | 398 | 67 | 8.6 | -1.2 | 967 | -8 | 301 | -14 |
| MOZ | Mozambique | 79 | 15 | 21.8 | -0.4 | 1083 | -7 | 583 | -4 |
| ZMB | Zambia | 19 | 3 | 21.5 | 0.0 | 1339 | -4 | 349 | 3 |
| KGZ | Kyrgyzstan | 322 | 55 | 10.1 | -1.6 | 1209 | -7 | 383 | 4 |
Note: Departures are expressed in relative terms (percentage) forall variables, except for temperature, for which absolute
departure in degrees Celsiusis given. Zero means no change from the average value; relative departures are calculated as(CR)/R*100, with C=current value and R=reference value, which isthe fifteen-year average (15YA) for the same period between July and Oct.
Table A.3 Argentina, Jul 2020 - Oct 2020 agroclimatic indicators (by province)
| 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. (%) | ||
| ARG_BAR | Buenos Aires | 204 | -18 | 11.1 | -0.5 | 865 | 3 | 266 | -3 |
| ARG_CAC | Chaco | 202 | -27 | 19.2 | 1.2 | 949 | 4 | 478 | 11 |
| ARG_CDB | Cordoba | 93 | -28 | 14.0 | -0.1 | 1001 | 1 | 327 | -6 |
| ARG_CRT | Corrientes | 320 | -30 | 17.0 | 0.5 | 862 | 1 | 396 | 5 |
| ARG_ERS | Entre Rios | 287 | -21 | 14.2 | 0.0 | 867 | 1 | 319 | -5 |
| ARG_LPP | La Pampa | 188 | 18 | 11.8 | -0.5 | 904 | 1 | 271 | -9 |
| ARG_MSS | Misiones | 412 | -32 | 18.0 | 0.6 | 939 | 6 | 437 | 6 |
| ARG_SDE | Santiago Del Estero | 120 | -20 | 17.6 | 0.2 | 1020 | 0 | 443 | 6 |
| ARG_SLS | San Luis | 87 | -13 | 12.5 | -0.2 | 1024 | 3 | 297 | -8 |
| ARG_SLT | Salta | 195 | 22 | 16.7 | 0.7 | 1140 | 1 | 475 | 10 |
| ARG_STF | Santa Fe | 201 | -21 | 15.8 | 0.2 | 903 | -1 | 370 | 0 |
| ARG_TCM | Tucuman | 66 | -25 | 14.3 | 0.5 | 1185 | 2 | 390 | 6 |
Table A.4 Australia, Jul 2020 - Oct 2020 agroclimatic indicators (by state)
| 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. (%) | ||
| AUS_NSW | New South Wales | 266 | 56 | 12.6 | 0.0 | 886 | -9 | 332 | -3 |
| AUS_SOU | South Australia | 236 | 16 | 13.1 | -0.1 | 766 | -7 | 286 | -9 |
| AUS_VCT | Victoria | 296 | 6 | 10.7 | 0.0 | 692 | -7 | 228 | -8 |
| AUS_WES | W. Australia | 167 | -22 | 14.8 | 0.5 | 923 | 2 | 330 | 5 |
Table A.5 Brazil, Jul 2020 - Oct 2020 agroclimatic indicators (by state)
| 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. (%) | ||
| BRA_CEA | Ceara | 48 | -16 | 26.7 | 0.0 | 1396 | 2 | 720 | -7 |
| BRA_GOS | Goias | 207 | -10 | 25.1 | 0.5 | 1251 | 3 | 357 | -22 |
| BRA_MGD | Mato Grosso Do Sul | 211 | -27 | 25.1 | 1.8 | 1113 | 4 | 512 | -9 |
| BRA_MGO | Mato Grosso | 176 | -22 | 26.9 | 0.9 | 1201 | 3 | 372 | -25 |
| BRA_MGS | Minas Gerais | 245 | -6 | 21.6 | 0.6 | 1108 | -1 | 502 | -7 |
| BRA_PAA | Parana | 390 | -27 | 19.2 | 1.3 | 1014 | 5 | 473 | 6 |
| BRA_RGD | Rio Grande Do Sul | 493 | -23 | 15.4 | 0.2 | 856 | 2 | 347 | 1 |
| BRA_SCA | Santa Catarina | 474 | -27 | 15.9 | 0.8 | 910 | 6 | 372 | 7 |
| BRA_SPL | Sao Paulo | 239 | -33 | 22.1 | 1.6 | 1081 | 3 | 539 | 4 |
Table A.6 Canada, Jul 2020 - Oct 2020 agroclimatic indicators (by province)
| 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. (%) | ||
| CAN_ABT | Alberta | 234 | -4 | 11.4 | -0.6 | 945 | -1 | 361 | -2 |
| CAN_MTB | Manitoba | 219 | -23 | 13.1 | -0.9 | 947 | 3 | 413 | 3 |
| CAN_SKC | Saskatchewan | 236 | 1 | 12.6 | -1.0 | 964 | 1 | 407 | -1 |
Table A.7 India, Jul 2020 - Oct 2020 agroclimatic indicators (by state)
| 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. (%) | ||
| IND_ADP | Andhra Pradesh | 1351 | 51 | 25.7 | -0.7 | 1031 | -5 | 680 | -5 |
| IND_ASM | Assam | 2656 | 3 | 25.1 | 0.3 | 836 | -11 | 548 | -9 |
| IND_BIH | Bihar | 1392 | 3 | 27.3 | 0.1 | 1083 | -2 | 690 | -4 |
| IND_CTG | Chhattisgarh | 1181 | -4 | 25.9 | 0.7 | 1089 | 3 | 680 | 3 |
| IND_DAD | Daman and Diu | 2302 | 50 | 27.9 | 0.3 | 1102 | -3 | 757 | 13 |
| IND_DLH | Delhi | 439 | -24 | 29.4 | 0.6 | 1201 | 3 | 644 | -1 |
| IND_GJR | Gujarat | 1615 | 51 | 27.9 | 0.2 | 1068 | 0 | 684 | 17 |
| IND_GOA | Goa | 3351 | 17 | 24.9 | -0.1 | 912 | -11 | 630 | -10 |
| IND_HCP | Himachal Pradesh | 324 | -68 | 20.2 | 0.9 | 1312 | 12 | 439 | -10 |
| IND_HYN | Haryana | 274 | -52 | 30.0 | 1.0 | 1229 | 6 | 618 | -3 |
| IND_JKH | Jharkhand | 1357 | 7 | 26.2 | 0.6 | 1151 | 3 | 767 | 7 |
| IND_KRL | Kerala | 1711 | -22 | 24.0 | 0.0 | 1037 | 0 | 675 | 0 |
| IND_KRT | Karnataka | 1242 | 10 | 23.3 | -0.2 | 902 | -4 | 583 | -4 |
| IND_MHL | Meghalaya | 2123 | -19 | 25.0 | 0.9 | 897 | -3 | 586 | 1 |
| IND_MHT | Maharashtra | 1588 | 29 | 25.0 | 0.2 | 984 | 0 | 652 | 6 |
| IND_MIP | Manipur | 2240 | 16 | 22.0 | 0.6 | 821 | -8 | 483 | -5 |
| IND_MYP | Madhya Pradesh | 1036 | -4 | 26.3 | 0.8 | 1088 | 5 | 638 | 8 |
| IND_MZR | Mizoram | 1759 | -12 | 23.9 | 0.4 | 967 | -3 | 613 | -1 |
| IND_NGL | Nagaland | 2909 | 41 | 22.0 | 0.3 | 729 | -19 | 427 | -17 |
| IND_ORS | Orissa | 1309 | -7 | 26.3 | 0.5 | 1100 | 1 | 722 | 2 |
| IND_PDC | Puducherry | 1516 | -7 | 27.2 | -0.4 | 1095 | -2 | 750 | -3 |
| IND_PJB | Punjab | 226 | -65 | 30.0 | 1.1 | 1240 | 5 | 593 | -14 |
| IND_RJT | Rajasthan | 583 | -6 | 29.3 | 0.5 | 1125 | -1 | 603 | 6 |
| IND_SKM | Sikkim | 625 | -29 | 17.7 | 0.5 | 1122 | 5 | 420 | -1 |
| IND_TND | Tamil Nadu | 729 | -20 | 26.1 | -0.2 | 1056 | -2 | 690 | -2 |
| IND_TPR | Tripura | 1669 | -14 | 26.5 | 0.6 | 1005 | -2 | 684 | 0 |
| IND_UTK | Uttarakhand | 528 | -52 | 21.3 | 1.0 | 1238 | 11 | 455 | -6 |
| IND_UTP | Uttar Pradesh | 913 | -7 | 28.1 | 0.5 | 1135 | 2 | 627 | -6 |
| IND_WBG | West Bengal | 1889 | 5 | 27.2 | 0.5 | 1117 | 0 | 741 | 0 |
Table A.8 Kazakhstan, Jul 2020 - Oct 2020 agroclimatic indicators (by oblast)
| 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. (%) | ||
| KAZ_ALS | Akmolinskaya | 202 | 28 | 13.5 | -0.6 | 886 | -5 | 398 | -3 |
| KAZ_KGS | Karagandinskaya | 180 | 30 | 12.6 | -1.1 | 955 | -6 | 400 | -4 |
| KAZ_KTS | Kustanayskaya | 246 | 47 | 14.4 | -0.3 | 894 | -1 | 423 | 1 |
| KAZ_PLS | Pavlodarskaya | 197 | 10 | 13.9 | -0.2 | 848 | -7 | 396 | -3 |
| KAZ_SKS | Severo kazachstanskaya | 209 | -3 | 13.3 | 0.2 | 803 | -3 | 366 | 4 |
| KAZ_VKS | Vostochno kazachstanskaya | 283 | 24 | 12.0 | -1.5 | 1009 | -6 | 390 | -10 |
| KAZ_ZKS | Zapadno kazachstanskaya | 125 | 0 | 17.8 | -0.2 | 1026 | 2 | 513 | 2 |
Table A.9 Russia, Jul 2020 - Oct 2020 agroclimatic indicators (by oblast, kray and republic)
| 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. (%) | ||
| RUS_BKR | Bashkortostan Rep. | 319 | 10 | 12.6 | 0.0 | 779 | -2 | 330 | 0 |
| RUS_CBO | Chelyabinskaya Oblast | 314 | 26 | 12.9 | 0.2 | 799 | 0 | 348 | 2 |
| RUS_GRD | Gorodovikovsk | 123 | -37 | 21.3 | 1.1 | 1094 | 2 | 570 | 0 |
| RUS_KDK | Krasnodarskiy Kray | 261 | -16 | 16.1 | 0.8 | 956 | 0 | 426 | 2 |
| RUS_KGO | Kurganskaya Oblast | 235 | -4 | 13.3 | 0.7 | 752 | 0 | 347 | 9 |
| RUS_KRO | Kirovskaya Oblast | 316 | -3 | 12.2 | 0.4 | 687 | 0 | 281 | 0 |
| RUS_KSO | Kurskaya Oblast | 151 | -36 | 15.7 | 0.9 | 893 | 4 | 395 | 2 |
| RUS_LSO | Lipetskaya Oblast | 123 | -48 | 15.4 | 0.6 | 882 | 6 | 372 | -4 |
| RUS_MDR | Mordoviya Rep. | 167 | -41 | 14.0 | 0.3 | 850 | 8 | 354 | 1 |
| RUS_NBO | Novosibirskaya Oblast | 329 | 25 | 12.2 | 0.3 | 725 | -6 | 314 | 0 |
| RUS_NZO | Nizhegorodskaya O. | 224 | -27 | 13.5 | 0.4 | 770 | 4 | 319 | -2 |
| RUS_OBO | Orenburgskaya Oblast | 218 | 17 | 14.9 | -0.3 | 911 | 0 | 433 | 1 |
| RUS_OKO | Omskaya Oblast | 249 | 2 | 12.8 | 0.8 | 714 | -4 | 329 | 7 |
| RUS_PMO | Permskaya Oblast | 357 | 6 | 11.7 | 0.4 | 650 | -3 | 268 | -1 |
| RUS_PZO | Penzenskaya Oblast | 154 | -41 | 14.3 | 0.2 | 906 | 9 | 377 | 2 |
| RUS_RSO | Rostovskaya Oblast | 106 | -40 | 20.1 | 1.1 | 1064 | 3 | 542 | 1 |
| RUS_RYO | Ryazanskaya Oblast | 163 | -41 | 14.6 | 0.4 | 824 | 5 | 348 | -3 |
| RUS_SLK | Stavropolskiy Kray | 168 | -41 | 20.5 | 1.0 | 1105 | 3 | 603 | 5 |
| RUS_SLO | Sverdlovskaya Oblast | 304 | 1 | 12.1 | 0.8 | 705 | 2 | 304 | 10 |
| RUS_SSO | Samarskaya Oblast | 172 | -30 | 14.6 | -0.1 | 859 | 1 | 394 | 1 |
| RUS_STO | Saratovskaya Oblast | 109 | -43 | 16.1 | 0.0 | 983 | 6 | 451 | 2 |
| RUS_TBO | Tambovskaya Oblast | 110 | -52 | 15.5 | 0.4 | 909 | 6 | 380 | -4 |
| RUS_TSO | Tyumenskaya Oblast | 253 | -1 | 12.8 | 1.1 | 713 | 1 | 331 | 14 |
| RUS_TSR | Tatarstan Rep. | 270 | -10 | 13.2 | 0.1 | 776 | 3 | 331 | 2 |
| RUS_USO | Ulyanovskaya Oblast | 189 | -33 | 14.0 | 0.0 | 864 | 7 | 377 | 6 |
| RUS_UTR | Udmurtiya Rep. | 328 | 5 | 12.3 | 0.2 | 689 | -1 | 286 | -1 |
| RUS_VLO | Volgogradskaya O. | 86 | -45 | 18.3 | 0.6 | 1037 | 5 | 472 | -4 |
| RUS_VRO | Voronezhskaya Oblast | 105 | -48 | 16.9 | 0.8 | 959 | 5 | 433 | -1 |
Table A.10 United States, Jul 2020 - Oct 2020 agroclimatic indicators (by state)
| 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. (%) | ||
| USA_AKS | Arkansas | 431 | 12 | 22.7 | -0.8 | 1142 | -3 | 697 | -2 |
| USA_CLF | California | 9 | -85 | 21.7 | 1.6 | 1417 | 1 | 329 | -24 |
| USA_IDH | Idaho | 91 | -32 | 15.6 | 0.4 | 1268 | 2 | 501 | -1 |
| USA_IDN | Indiana | 285 | -8 | 19.5 | -0.2 | 1123 | 1 | 629 | 2 |
| USA_ILN | Illinois | 341 | 8 | 19.4 | -1.0 | 1106 | -2 | 613 | -3 |
| USA_IOW | Iowa | 244 | -22 | 18.5 | -0.7 | 1143 | 2 | 621 | 2 |
| USA_KSS | Kansas | 263 | -20 | 21.9 | -0.6 | 1214 | 2 | 707 | -1 |
| USA_MCG | Michigan | 275 | -15 | 16.4 | -0.3 | 1010 | 1 | 498 | 4 |
| USA_MNS | Minnesota | 209 | -30 | 15.8 | -0.7 | 1067 | 4 | 532 | 6 |
| USA_MSR | Missouri | 360 | 8 | 20.4 | -1.1 | 1136 | -3 | 655 | -3 |
| USA_MTN | Montana | 171 | -4 | 15.2 | 0.0 | 1172 | 1 | 527 | -1 |
| USA_NBS | Nebraska | 229 | -13 | 19.9 | -0.2 | 1216 | 3 | 684 | 3 |
| USA_NDK | North Dakota | 159 | -34 | 16.3 | -0.6 | 1106 | 5 | 549 | 2 |
| USA_OHO | Ohio | 245 | -19 | 19.2 | 0.2 | 1084 | 0 | 603 | 4 |
| USA_OKH | Oklahoma | 393 | 20 | 23.4 | -1.1 | 1195 | -2 | 731 | -2 |
| USA_ORG | Oregon | 100 | -36 | 16.6 | 0.9 | 1216 | 1 | 457 | -5 |
| USA_SDK | South Dakota | 150 | -39 | 18.8 | -0.1 | 1176 | 3 | 654 | 5 |
| USA_TES | Texas | 334 | -10 | 25.6 | -0.3 | 1237 | -1 | 721 | -6 |
| USA_WHT | Washington | 194 | -7 | 16.0 | 0.4 | 1110 | 0 | 409 | -11 |
| USA_WSC | Wisconsin | 251 | -13 | 15.8 | -0.9 | 1048 | 1 | 516 | 2 |
Table A.11 China, Jul 2020 - Oct 2020 agroclimatic indicators (by province)
| 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. (%) | ||
| CHN_AHS | Anhui | 948 | 39 | 22.4 | -0.6 | 939 | -8 | 566 | -7 |
| CHN_CQS | Chongqing | 964 | 15 | 20.1 | -0.8 | 807 | -19 | 463 | -20 |
| CHN_FJS | Fujian | 755 | -22 | 22.6 | -0.1 | 1022 | -5 | 638 | -5 |
| CHN_GSS | Gansu | 419 | 0 | 13.3 | -0.6 | 952 | -7 | 389 | -9 |
| CHN_GDS | Guangdong | 1035 | -17 | 24.9 | 0.1 | 1119 | -3 | 733 | -2 |
| CHN_GXZ | Guangxi | 1181 | 5 | 23.1 | -0.4 | 1023 | -9 | 638 | -9 |
| CHN_GZS | Guizhou | 953 | 10 | 18.9 | -0.5 | 768 | -21 | 416 | -20 |
| CHN_HEB | Hebei | 301 | 3 | 18.5 | -0.5 | 1045 | -5 | 504 | -10 |
| CHN_HLJ | Heilongjiang | 486 | 64 | 14.8 | -0.3 | 883 | -10 | 410 | -8 |
| CHN_HEN | Henan | 525 | 19 | 21.4 | -0.7 | 970 | -8 | 561 | -6 |
| CHN_HUB | Hubei | 943 | 39 | 20.6 | -1.0 | 885 | -14 | 506 | -15 |
| CHN_HUN | Hunan | 869 | 13 | 21.6 | -0.9 | 900 | -15 | 545 | -15 |
| CHN_JSS | Jiangsu | 739 | 6 | 22.8 | -0.4 | 966 | -5 | 577 | -6 |
| CHN_JXS | Jiangxi | 844 | 5 | 23.0 | -0.5 | 979 | -9 | 610 | -9 |
| CHN_JLS | Jilin | 527 | 40 | 16.0 | 0.0 | 963 | -7 | 459 | -4 |
| CHN_LNS | Liaoning | 444 | 13 | 18.1 | 0.0 | 984 | -6 | 510 | -5 |
| CHN_NMG | Inner Mongolia | 305 | 47 | 14.8 | -0.6 | 991 | -8 | 441 | -9 |
| CHN_NXZ | Ningxia | 255 | 9 | 15.6 | -0.8 | 1051 | -5 | 487 | -7 |
| CHN_SHX | Shaanxi | 491 | -8 | 17.1 | -0.7 | 941 | -9 | 467 | -11 |
| CHN_SDS | Shandong | 534 | 25 | 21.4 | -0.4 | 1015 | -5 | 573 | -6 |
| CHN_SXI | Shanxi | 334 | 7 | 16.1 | -0.8 | 1048 | -4 | 467 | -9 |
| CHN_SCS | Sichuan | 1101 | 22 | 17.2 | -0.3 | 780 | -18 | 372 | -18 |
| CHN_YNS | Yunnan | 1251 | 26 | 17.9 | 0.4 | 791 | -15 | 376 | -12 |
| CHN_ZJS | Zhejiang | 753 | -17 | 22.1 | -0.5 | 943 | -8 | 559 | -11 |