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: yannn
Table A.1 Oct 2020 - Jan 2021 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 | 781 | -13 | 22.9 | -0.1 | 1170 | -2 | 642 | -8 |
| C02 | East African highlands | 207 | -8 | 17.9 | -0.4 | 1290 | -1 | 348 | -23 |
| C03 | Gulf of Guinea | 184 | -19 | 25.5 | 0.3 | 1189 | -3 | 445 | -9 |
| C04 | Horn of Africa | 399 | 8 | 21.2 | -0.4 | 1256 | -2 | 571 | -13 |
| C05 | Madagascar (main) | 616 | -30 | 23.1 | 0.2 | 1342 | 0 | 793 | -6 |
| C06 | Southwest Madagascar | 177 | -54 | 26.9 | 0.9 | 1452 | 2 | 813 | -4 |
| C07 | North Africa-Mediterranean | 176 | -13 | 12.0 | 0.1 | 704 | -1 | 228 | -8 |
| C08 | Sahel | 51 | -16 | 25.7 | 0.4 | 1213 | -3 | 181 | -17 |
| C09 | Southern Africa | 561 | 5 | 23.6 | 0.1 | 1310 | -4 | 763 | -7 |
| C10 | Western Cape (South Africa) | 145 | 4 | 17.8 | -0.2 | 1451 | -5 | 691 | -6 |
| C11 | British Columbia to Colorado | 328 | -10 | -1.3 | 1.0 | 444 | 1 | 66 | -2 |
| C12 | Northern Great Plains | 154 | -18 | 2.3 | 1.2 | 476 | 0 | 90 | 2 |
| C13 | Corn Belt | 350 | -13 | 2.9 | 0.7 | 410 | -3 | 84 | -2 |
| C14 | Cotton Belt to Mexican Nordeste | 335 | -8 | 11.8 | 0.4 | 659 | -1 | 226 | -4 |
| C15 | Sub-boreal America | 200 | -10 | -4.8 | 1.4 | 235 | -3 | 31 | -3 |
| C16 | West Coast (North America) | 414 | -21 | 8.6 | 0.6 | 541 | 3 | 129 | 1 |
| C17 | Sierra Madre | 156 | -38 | 15.6 | 0.1 | 1064 | 2 | 281 | -17 |
| C18 | SW U.S. and N. Mexican highlands | 76 | -46 | 8.9 | 0.5 | 808 | 4 | 139 | -24 |
| C19 | Northern South and Central America | 766 | 9 | 22.3 | 0.0 | 1015 | -2 | 533 | -10 |
| C20 | Caribbean | 489 | 29 | 24.0 | 0.2 | 990 | -3 | 622 | -5 |
| C21 | Central-northern Andes | 909 | -2 | 15.4 | -0.2 | 1136 | -2 | 426 | -13 |
| C22 | Nordeste (Brazil) | 172 | -36 | 26.4 | 0.3 | 1350 | 0 | 822 | -2 |
| C23 | Central eastern Brazil | 510 | -46 | 25.9 | 1.4 | 1276 | 1 | 810 | -3 |
| C24 | Amazon | 854 | -18 | 25.6 | 0.3 | 1153 | 0 | 754 | -3 |
| C25 | Central-north Argentina | 583 | 12 | 24.1 | -0.2 | 1355 | -2 | 826 | -6 |
| C26 | Pampas | 451 | -17 | 22.3 | 0.2 | 1391 | -2 | 816 | -3 |
| C27 | Western Patagonia | 222 | -29 | 12.1 | -0.3 | 1495 | 2 | 404 | -9 |
| C28 | Semi-arid Southern Cone | 157 | -8 | 18.3 | -0.2 | 1608 | -2 | 620 | -5 |
| C29 | Caucasus | 236 | -22 | 5.3 | 0.9 | 560 | 0 | 119 | -5 |
| C30 | Pamir area | 141 | -28 | 1.7 | -1.2 | 718 | 0 | 90 | -25 |
| C31 | Western Asia | 111 | -25 | 6.4 | -0.5 | 660 | 0 | 97 | -26 |
| C32 | Gansu-Xinjiang (China) | 47 | -38 | -5.7 | -2.2 | 589 | 0 | 66 | -18 |
| C33 | Hainan (China) | 543 | -1 | 20.1 | -0.6 | 671 | -12 | 384 | -16 |
| C34 | Huanghuaihai (China) | 78 | -3 | 5.3 | -0.2 | 632 | -3 | 119 | -16 |
| C35 | Inner Mongolia (China) | 45 | -7 | -7.5 | -1.5 | 585 | 0 | 70 | -8 |
| C36 | Loess region (China) | 69 | -8 | 0.1 | -0.6 | 676 | -4 | 107 | -10 |
| C37 | Lower Yangtze (China) | 170 | -44 | 10.3 | -0.2 | 637 | -1 | 196 | -7 |
| C38 | Northeast China | 102 | 13 | -7.4 | 0.1 | 466 | -5 | 59 | -6 |
| C39 | Qinghai-Tibet (China) | 211 | 6 | 0.6 | 0.0 | 818 | -7 | 111 | -13 |
| C40 | Southern China | 233 | -32 | 14.5 | -0.1 | 764 | 4 | 293 | -4 |
| C41 | Southwest China | 254 | -7 | 7.3 | -0.5 | 549 | -8 | 135 | -20 |
| C42 | Taiwan (China) | 198 | -41 | 21.0 | 0.8 | 795 | -2 | 351 | -6 |
| C43 | East Asia | 287 | -9 | -0.8 | 0.1 | 488 | -2 | 84 | -4 |
| C44 | Southern Himalayas | 194 | -6 | 16.3 | 0.2 | 911 | -2 | 206 | -22 |
| C45 | Southern Asia | 328 | 8 | 22.4 | 0.4 | 1032 | -5 | 399 | -5 |
| C46 | Southern Japan and the southern fringe of the Korea peninsula | 354 | -26 | 9.2 | 0.4 | 591 | 2 | 177 | 1 |
| C47 | Southern Mongolia | 25 | -55 | -14.5 | -1.3 | 459 | -2 | 35 | -10 |
| C48 | Punjab to Gujarat | 49 | 26 | 20.2 | -0.1 | 950 | -4 | 154 | 3 |
| C49 | Maritime Southeast Asia | 1364 | -2 | 24.3 | 0.1 | 1062 | -2 | 699 | -3 |
| C50 | Mainland Southeast Asia | 514 | 13 | 22.3 | -0.2 | 970 | -6 | 429 | -23 |
| C51 | Eastern Siberia | 218 | -10 | -9.8 | -0.2 | 268 | -2 | 32 | 2 |
| C52 | Eastern Central Asia | 84 | 13 | -13.4 | 0.2 | 350 | -6 | 31 | -6 |
| C53 | Northern Australia | 858 | 9 | 26.6 | 0.2 | 1349 | -3 | 884 | -2 |
| C54 | Queensland to Victoria | 267 | 8 | 20.6 | -0.2 | 1394 | -5 | 741 | -5 |
| C55 | Nullarbor to Darling | 82 | -26 | 19.4 | -0.1 | 1507 | -1 | 769 | 1 |
| C56 | New Zealand | 318 | -4 | 13.6 | 0.3 | 1265 | -1 | 459 | -2 |
| C57 | Boreal Eurasia | 382 | 0 | -2.2 | 0.8 | 110 | -12 | 17 | -8 |
| C58 | Ukraine to Ural mountains | 239 | -13 | 0.0 | 0.8 | 179 | -5 | 36 | 4 |
| C59 | Mediterranean Europe and Turkey | 369 | -3 | 8.8 | 0.5 | 517 | -3 | 159 | 1 |
| C60 | W. Europe (non Mediterranean) | 414 | 13 | 5.3 | 0.2 | 265 | -10 | 65 | -9 |
| C61 | Boreal America | 431 | 8 | -5.3 | 1.2 | 133 | -3 | 17 | 3 |
| C62 | Ural to Altai mountains | 156 | -18 | -7.3 | -0.6 | 263 | -3 | 34 | -8 |
| C63 | Australian desert | 129 | 23 | 21.1 | -0.5 | 1492 | -5 | 770 | -4 |
| C64 | Sahara to Afghan deserts | 47 | -24 | 16.6 | -0.1 | 918 | -2 | 162 | -22 |
| C65 | Sub-arctic America | 106 | -7 | -18.5 | 0.7 | 39 | -5 | 2 | -7 |
Table A.2 Oct 2020 - Jan 2021 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 | 420 | -2 | 22.0 | -0.1 | 1432 | -1 | 810 | -1 |
| AUS | Australia | 278 | 7 | 21.0 | -0.1 | 1406 | -4 | 753 | -4 |
| BGD | Bangladesh | 262 | 0 | 21.4 | 0.6 | 971 | -1 | 337 | -1 |
| BRA | Brazil | 584 | -37 | 25.5 | 0.9 | 1261 | 1 | 803 | -2 |
| KHM | Cambodia | 561 | 17 | 23.7 | -0.7 | 988 | -8 | 551 | -17 |
| CAN | Canada | 290 | -11 | -2.5 | 1.3 | 274 | -3 | 39 | 3 |
| CHN | China | 172 | -24 | 5.6 | -0.3 | 620 | -3 | 132 | -11 |
| EGY | Egypt | 54 | 1 | 18.0 | 1.0 | 758 | -1 | 176 | -18 |
| ETH | Ethiopia | 127 | -22 | 18.0 | -0.4 | 1304 | -1 | 285 | -28 |
| FRA | France | 482 | 18 | 6.6 | -0.1 | 292 | -13 | 73 | -17 |
| DEU | Germany | 331 | -2 | 4.4 | 0.1 | 205 | -11 | 45 | -15 |
| IND | India | 212 | 8 | 20.4 | 0.3 | 990 | -4 | 277 | -8 |
| IDN | Indonesia | 1325 | -4 | 24.4 | 0.0 | 1095 | -2 | 730 | -3 |
| IRN | Iran | 156 | -12 | 8.0 | 0.0 | 748 | -2 | 119 | -25 |
| KAZ | Kazakhstan | 115 | -31 | -5.9 | -1.2 | 354 | 1 | 46 | -7 |
| MEX | Mexico | 245 | -18 | 18.0 | 0.2 | 1006 | 1 | 309 | -19 |
| MMR | Myanmar | 304 | -10 | 19.5 | 0.4 | 1011 | 0 | 318 | -27 |
| NGA | Nigeria | 124 | -34 | 25.4 | 0.5 | 1212 | -3 | 312 | -8 |
| PAK | Pakistan | 114 | 0 | 11.2 | -0.7 | 850 | -2 | 98 | -28 |
| PHL | Philippines | 1427 | 35 | 24.7 | 0.1 | 959 | -7 | 645 | -7 |
| POL | Poland | 266 | -3 | 3.7 | 0.5 | 179 | -14 | 40 | -11 |
| ROU | Romania | 281 | 17 | 4.3 | 1.0 | 339 | -11 | 82 | -1 |
| RUS | Russia | 199 | -15 | -4.2 | 0.4 | 215 | -3 | 33 | 2 |
| ZAF | South Africa | 297 | 9 | 20.4 | 0.2 | 1352 | -7 | 733 | -6 |
| THA | Thailand | 449 | 3 | 22.3 | -0.5 | 989 | -7 | 436 | -26 |
| TUR | Turkey | 267 | -25 | 6.9 | 1.4 | 578 | 1 | 142 | 2 |
| GBR | United Kingdom | 586 | 20 | 6.3 | -0.3 | 147 | -13 | 37 | -16 |
| UKR | Ukraine | 222 | -5 | 3.3 | 1.2 | 243 | -11 | 63 | 7 |
| USA | United States | 291 | -12 | 6.4 | 0.7 | 548 | -1 | 128 | -3 |
| UZB | Uzbekistan | 65 | -57 | 2.8 | -2.3 | 632 | 4 | 76 | -35 |
| VNM | Vietnam | 744 | 31 | 18.9 | -0.6 | 752 | -9 | 389 | -18 |
| AFG | Afghanistan | 99 | -28 | 3.4 | -1.3 | 772 | -1 | 79 | -36 |
| AGO | Angola | 764 | -15 | 22.8 | -0.2 | 1227 | 0 | 702 | -8 |
| BLR | Belarus | 292 | 5 | 2.0 | 1.2 | 126 | -23 | 28 | -11 |
| HUN | Hungary | 253 | 9 | 4.6 | 0.2 | 296 | -13 | 71 | -10 |
| ITA | Italy | 499 | 18 | 7.3 | -0.4 | 429 | -6 | 129 | -12 |
| KEN | Kenya | 391 | -4 | 20.0 | -0.4 | 1278 | -1 | 614 | -9 |
| LKA | Sri_Lanka | 1144 | -4 | 25.0 | 0.4 | 1066 | -2 | 708 | -4 |
| MAR | Morocco | 203 | -6 | 11.8 | 0.0 | 755 | -1 | 232 | 3 |
| MNG | Mongolia | 52 | 5 | -13.6 | -0.5 | 432 | -4 | 37 | -7 |
| MOZ | Mozambique | 597 | -8 | 25.6 | 0.3 | 1308 | -1 | 837 | -3 |
| ZMB | Zambia | 869 | 0 | 23.5 | 0.0 | 1260 | -4 | 718 | -7 |
| KGZ | Kyrgyzstan | 102 | -52 | -5.8 | -1.7 | 616 | 4 | 64 | -22 |
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 is the fifteen-year average (15YA) for the same period between Oct and Jan.
Table A.3 Argentina, Oct 2020 - Jan 2021 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 | 198 | -24 | 20.1 | -0.1 | 1510 | -1 | 798 | 0 |
| ARG_CAC | Chaco | 624 | 10 | 25.4 | 0.4 | 1347 | 1 | 889 | 4 |
| ARG_CDB | Cordoba | 288 | 7 | 22.4 | -0.4 | 1477 | -3 | 869 | 0 |
| ARG_CRT | Corrientes | 568 | -8 | 24.0 | 0.3 | 1374 | -1 | 863 | -1 |
| ARG_ERS | Entre Rios | 312 | -25 | 22.6 | 0.1 | 1455 | -1 | 795 | -7 |
| ARG_LPP | La Pampa | 221 | 1 | 21.5 | -0.3 | 1534 | -2 | 886 | 4 |
| ARG_MSS | Misiones | 582 | -22 | 23.4 | 0.4 | 1346 | -3 | 845 | -5 |
| ARG_SDE | Santiago Del Estero | 544 | 10 | 24.3 | -0.6 | 1357 | -2 | 872 | -2 |
| ARG_SLS | San Luis | 314 | 49 | 21.4 | -0.5 | 1521 | -2 | 851 | -1 |
| ARG_SLT | Salta | 1070 | 26 | 21.2 | -0.2 | 1297 | -1 | 724 | -10 |
| ARG_STF | Santa Fe | 432 | 3 | 23.6 | -0.1 | 1423 | -1 | 875 | 3 |
| ARG_TCM | Tucuman | 604 | 13 | 20.0 | -0.2 | 1408 | -1 | 745 | -12 |
Table A.4 Australia, Oct 2020 - Jan 2021 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 | 299 | 14 | 21.4 | -0.3 | 1442 | -5 | 785 | -3 |
| AUS_SOU | South Australia | 170 | 29 | 19.0 | -0.5 | 1353 | -8 | 693 | -7 |
| AUS_VCT | Victoria | 287 | 24 | 17.2 | -0.4 | 1290 | -8 | 622 | -10 |
| AUS_WES | W. Australia | 128 | -19 | 20.5 | -0.1 | 1498 | -1 | 768 | 1 |
Table A.5 Brazil, Oct 2020 - Jan 2021 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 | 76 | -63 | 28 | 0 | 1362 | -1 | 775 | -8 |
| BRA_GOS | Goias | 409 | -65 | 27 | 2 | 1349 | 6 | 858 | 3 |
| BRA_MGD | Mato Grosso Do Sul | 341 | -63 | 28 | 2 | 1262 | -4 | 813 | -9 |
| BRA_MGO | Mato Grosso | 689 | -45 | 27 | 2 | 1169 | 1 | 768 | -3 |
| BRA_MGS | Minas Gerais | 713 | -38 | 23 | 1 | 1336 | 6 | 805 | 0 |
| BRA_PAA | Parana | 605 | -32 | 23 | 1 | 1292 | -2 | 781 | -5 |
| BRA_RGD | Rio Grande Do Sul | 484 | -21 | 21 | 0 | 1357 | -2 | 779 | -7 |
| BRA_SCA | Santa Catarina | 825 | 4 | 20 | 0 | 1216 | -4 | 636 | -12 |
| BRA_SPL | Sao Paulo | 431 | -62 | 25 | 2 | 1316 | 4 | 829 | 1 |
Table A.6 Canada, Oct 2020 - Jan 2021 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 | 139 | -11 | -3.6 | 1.2 | 265 | -2 | 39 | 0 |
| CAN_MTB | Manitoba | 141 | -28 | -3.8 | 1.7 | 280 | -1 | 39 | 4 |
| CAN_SKC | Saskatchewan | 144 | -10 | -3.5 | 1.5 | 287 | 0 | 43 | 10 |
Table A.7 India, Oct 2020 - Jan 2021 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 | 316 | 29 | 22.6 | -0.1 | 1038 | -6 | 415 | -17 |
| IND_ASM | Assam | 396 | 25 | 17.7 | 0.3 | 844 | -4 | 344 | -8 |
| IND_BIH | Bihar | 63 | -41 | 19.6 | 0.5 | 952 | -2 | 193 | -25 |
| IND_CTG | Chhattisgarh | 133 | 9 | 20.2 | 0.6 | 1041 | -3 | 251 | -14 |
| IND_DAD | Daman and Diu | 53 | 57 | 26.4 | 0.3 | 1089 | -6 | 361 | 64 |
| IND_DLH | Delhi | 13 | -65 | 17.8 | -0.2 | 899 | -3 | 158 | -4 |
| IND_GJR | Gujarat | 75 | 178 | 24.2 | 0.0 | 1053 | -4 | 233 | 36 |
| IND_GOA | Goa | 426 | 79 | 26.2 | 0.2 | 1104 | -7 | 521 | 21 |
| IND_HCP | Himachal Pradesh | 115 | -22 | 8.7 | -0.4 | 893 | 0 | 92 | -26 |
| IND_HYN | Haryana | 19 | -50 | 17.5 | -0.2 | 889 | -3 | 108 | -32 |
| IND_JKH | Jharkhand | 145 | 14 | 19.1 | 0.8 | 1000 | -2 | 249 | -8 |
| IND_KRL | Kerala | 844 | 11 | 24.4 | -0.1 | 1036 | -7 | 661 | 3 |
| IND_KRT | Karnataka | 320 | 5 | 22.6 | 0.0 | 1059 | -7 | 480 | -7 |
| IND_MHL | Meghalaya | 357 | -1 | 18.4 | 0.8 | 891 | -1 | 331 | -5 |
| IND_MHT | Maharashtra | 210 | 89 | 23.0 | 0.4 | 1050 | -7 | 346 | 10 |
| IND_MIP | Manipur | 507 | 42 | 14.2 | 0.0 | 907 | 1 | 230 | -27 |
| IND_MYP | Madhya Pradesh | 46 | -15 | 20.1 | 0.7 | 991 | -5 | 202 | -3 |
| IND_MZR | Mizoram | 461 | 31 | 16.6 | -0.3 | 974 | 0 | 279 | -18 |
| IND_NGL | Nagaland | 659 | 64 | 13.9 | 0.0 | 809 | -4 | 260 | -20 |
| IND_ORS | Orissa | 222 | 11 | 20.8 | 0.6 | 1048 | -2 | 335 | -5 |
| IND_PDC | Puducherry | 699 | 24 | 25.7 | 0.0 | 1061 | -7 | 653 | -4 |
| IND_PJB | Punjab | 51 | -27 | 16.7 | -0.3 | 839 | -2 | 105 | -44 |
| IND_RJT | Rajasthan | 17 | -20 | 20.1 | 0.2 | 962 | -4 | 131 | 3 |
| IND_SKM | Sikkim | 11 | -83 | 10.0 | 0.5 | 1051 | 0 | 90 | -26 |
| IND_TND | Tamil Nadu | 841 | 19 | 23.7 | 0.0 | 980 | -9 | 596 | -11 |
| IND_TPR | Tripura | 373 | 8 | 19.8 | 0.5 | 951 | -1 | 330 | -4 |
| IND_UTK | Uttarakhand | 23 | -67 | 10.8 | -0.2 | 942 | 0 | 63 | -50 |
| IND_UTP | Uttar Pradesh | 7 | -88 | 18.8 | 0.5 | 929 | -3 | 128 | -36 |
| IND_WBG | West Bengal | 155 | -14 | 20.9 | 0.6 | 991 | -1 | 277 | -11 |
Table A.8 Kazakhstan, Oct 2020 - Jan 2021 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 | 117 | -21 | -7.3 | -0.8 | 294 | -2 | 39 | 2 |
| KAZ_KGS | Karagandinskaya | 91 | -28 | -8.1 | -1.5 | 359 | -2 | 43 | -5 |
| KAZ_KTS | Kustanayskaya | 124 | -17 | -6.3 | -0.3 | 276 | 2 | 41 | 11 |
| KAZ_PLS | Pavlodarskaya | 111 | -14 | -7.7 | -0.8 | 255 | -8 | 33 | -8 |
| KAZ_SKS | Severo kazachstanskaya | 132 | -19 | -7.4 | -0.4 | 223 | -3 | 30 | 0 |
| KAZ_VKS | Vostochno kazachstanskaya | 132 | -38 | -8.1 | -2.0 | 396 | 1 | 47 | -1 |
| KAZ_ZKS | Zapadno kazachstanskaya | 141 | -22 | -2.5 | -0.4 | 315 | 9 | 44 | -7 |
Table A.9 Russia, Oct 2020 - Jan 2021 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. | 170 | -33 | -6.0 | -0.2 | 207 | 9 | 30 | 18 |
| RUS_CBO | Chelyabinskaya Oblast | 128 | -21 | -6.6 | -0.1 | 223 | 4 | 32 | 12 |
| RUS_GRD | Gorodovikovsk | 209 | -9 | 4.4 | 0.9 | 329 | -4 | 92 | 17 |
| RUS_KDK | Krasnodarskiy Kray | 228 | -18 | -1.4 | 0.6 | 295 | -1 | 60 | 16 |
| RUS_KGO | Kurganskaya Oblast | 153 | -13 | -7.1 | -0.2 | 177 | -3 | 24 | 0 |
| RUS_KRO | Kirovskaya Oblast | 230 | -28 | -4.6 | 0.2 | 117 | 5 | 19 | 21 |
| RUS_KSO | Kurskaya Oblast | 258 | -7 | 1.0 | 1.3 | 187 | -6 | 40 | 10 |
| RUS_LSO | Lipetskaya Oblast | 238 | -11 | 0.0 | 1.1 | 187 | -2 | 23 | -31 |
| RUS_MDR | Mordoviya Rep. | 200 | -28 | -2.4 | 0.3 | 182 | 10 | 25 | -4 |
| RUS_NBO | Novosibirskaya Oblast | 216 | -3 | -8.4 | 0.0 | 154 | -19 | 18 | -22 |
| RUS_NZO | Nizhegorodskaya O. | 211 | -29 | -2.7 | 0.3 | 144 | 7 | 20 | -3 |
| RUS_OBO | Orenburgskaya Oblast | 153 | -27 | -5.1 | -0.5 | 274 | 9 | 44 | 20 |
| RUS_OKO | Omskaya Oblast | 169 | -15 | -7.8 | 0.2 | 149 | -16 | 19 | -16 |
| RUS_PMO | Permskaya Oblast | 212 | -29 | -6.1 | 0.2 | 125 | 3 | 17 | 12 |
| RUS_PZO | Penzenskaya Oblast | 216 | -22 | -2.3 | 0.3 | 201 | 9 | 27 | -8 |
| RUS_RSO | Rostovskaya Oblast | 214 | -11 | 3.0 | 1.0 | 300 | -3 | 72 | 9 |
| RUS_RYO | Ryazanskaya Oblast | 227 | -18 | -0.7 | 1.0 | 163 | 2 | 26 | -3 |
| RUS_SLK | Stavropolskiy Kray | 195 | -19 | 4.6 | 1.0 | 369 | -1 | 100 | 18 |
| RUS_SLO | Sverdlovskaya Oblast | 165 | -22 | -7.2 | -0.1 | 143 | 2 | 19 | 7 |
| RUS_SSO | Samarskaya Oblast | 164 | -33 | -4.1 | -0.7 | 225 | 11 | 39 | 25 |
| RUS_STO | Saratovskaya Oblast | 179 | -24 | -2.2 | -0.2 | 257 | 8 | 36 | -11 |
| RUS_TBO | Tambovskaya Oblast | 227 | -18 | -0.7 | 0.9 | 196 | 0 | 25 | -23 |
| RUS_TSO | Tyumenskaya Oblast | 178 | -13 | -7.7 | -0.1 | 136 | -12 | 17 | -12 |
| RUS_TSR | Tatarstan Rep. | 189 | -30 | -4.5 | -0.3 | 173 | 12 | 29 | 24 |
| RUS_USO | Ulyanovskaya Oblast | 171 | -31 | -3.6 | -0.4 | 201 | 11 | 35 | 25 |
| RUS_UTR | Udmurtiya Rep. | 208 | -30 | -5.2 | 0.1 | 136 | 8 | 21 | 20 |
| RUS_VLO | Volgogradskaya O. | 191 | -10 | 0.2 | 0.4 | 279 | 0 | 42 | -23 |
| RUS_VRO | Voronezhskaya Oblast | 223 | -13 | 0.4 | 0.9 | 233 | 0 | 36 | -15 |
Table A.10 United States, Oct 2020 - Jan 2021 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 | 386 | -16 | 9.3 | 0.0 | 584 | -3 | 177 | -4 |
| USA_CLF | California | 205 | -40 | 10.6 | 0.7 | 681 | 5 | 142 | -5 |
| USA_IDH | Idaho | 267 | -21 | -0.1 | 0.7 | 468 | 2 | 88 | 18 |
| USA_IDN | Indiana | 328 | -19 | 4.9 | 0.4 | 460 | -2 | 112 | -2 |
| USA_ILN | Illinois | 324 | -9 | 4.7 | 0.5 | 469 | -4 | 114 | 0 |
| USA_IOW | Iowa | 209 | -17 | 2.4 | 0.8 | 478 | 0 | 104 | 10 |
| USA_KSS | Kansas | 175 | -5 | 6.8 | 1.0 | 617 | -1 | 146 | -1 |
| USA_MCG | Michigan | 259 | -28 | 1.8 | 0.6 | 350 | 1 | 69 | 1 |
| USA_MNS | Minnesota | 181 | -22 | -0.9 | 1.4 | 376 | 0 | 66 | 7 |
| USA_MSR | Missouri | 336 | 4 | 6.1 | 0.4 | 522 | -6 | 136 | -3 |
| USA_MTN | Montana | 148 | -23 | 0.0 | 1.5 | 432 | 0 | 65 | -8 |
| USA_NBS | Nebraska | 111 | -30 | 4.2 | 1.4 | 573 | 2 | 124 | 11 |
| USA_NDK | North Dakota | 81 | -49 | -0.4 | 1.9 | 399 | 1 | 68 | 10 |
| USA_OHO | Ohio | 331 | -16 | 4.6 | 0.5 | 426 | -5 | 101 | -6 |
| USA_OKH | Oklahoma | 271 | 9 | 9.2 | 0.1 | 634 | -4 | 185 | -2 |
| USA_ORG | Oregon | 446 | -17 | 4.4 | 0.5 | 420 | 2 | 103 | 25 |
| USA_SDK | South Dakota | 100 | -38 | 2.1 | 1.8 | 488 | 1 | 99 | 12 |
| USA_TES | Texas | 207 | -22 | 13.3 | 0.3 | 729 | 1 | 233 | -9 |
| USA_WHT | Washington | 558 | -3 | 3.7 | 0.8 | 319 | -2 | 78 | 18 |
| USA_WSC | Wisconsin | 225 | -21 | 0.0 | 0.8 | 395 | 2 | 71 | 4 |
Table A.11 China, Oct 2020 - Jan 2021 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 | 167 | -24 | 8.6 | 0.0 | 633 | -2 | 170 | -5 |
| CHN_CQS | Chongqing | 265 | -4 | 8.2 | -0.5 | 519 | -6 | 138 | -13 |
| CHN_FJS | Fujian | 130 | -68 | 12.5 | 0.0 | 660 | 4 | 239 | -2 |
| CHN_GSS | Gansu | 101 | -8 | -1.4 | -0.7 | 654 | -8 | 95 | -16 |
| CHN_GDS | Guangdong | 163 | -58 | 15.9 | -0.1 | 778 | 7 | 335 | 2 |
| CHN_GXZ | Guangxi | 259 | -30 | 13.3 | -0.7 | 671 | 2 | 250 | -10 |
| CHN_GZS | Guizhou | 285 | -21 | 7.8 | -1.0 | 464 | -6 | 123 | -20 |
| CHN_HEB | Hebei | 28 | -40 | -1.6 | -1.2 | 633 | 1 | 87 | -17 |
| CHN_HLJ | Heilongjiang | 107 | 15 | -9.2 | 0.4 | 406 | -8 | 47 | -11 |
| CHN_HEN | Henan | 126 | 17 | 6.8 | -0.1 | 628 | -7 | 127 | -16 |
| CHN_HUB | Hubei | 232 | 5 | 7.6 | -0.5 | 590 | -9 | 146 | -18 |
| CHN_HUN | Hunan | 213 | -34 | 9.3 | -0.6 | 569 | -8 | 166 | -18 |
| CHN_JSS | Jiangsu | 131 | -32 | 9.0 | 0.3 | 653 | 1 | 181 | 1 |
| CHN_JXS | Jiangxi | 152 | -58 | 10.8 | -0.1 | 638 | 1 | 205 | -7 |
| CHN_JLS | Jilin | 108 | 10 | -6.5 | 0.0 | 520 | -2 | 70 | -2 |
| CHN_LNS | Liaoning | 84 | 5 | -3.2 | -0.8 | 579 | 0 | 94 | -2 |
| CHN_NMG | Inner Mongolia | 53 | 7 | -9.2 | -1.0 | 530 | -2 | 58 | -11 |
| CHN_NXZ | Ningxia | 40 | -30 | -2.4 | -1.5 | 696 | -4 | 99 | -11 |
| CHN_SHX | Shaanxi | 111 | 2 | 2.3 | -0.6 | 645 | -5 | 119 | -7 |
| CHN_SDS | Shandong | 76 | 4 | 5.5 | 0.0 | 630 | -4 | 124 | -16 |
| CHN_SXI | Shanxi | 45 | -20 | -1.6 | -0.8 | 664 | 0 | 95 | -8 |
| CHN_SCS | Sichuan | 260 | 1 | 6.0 | -0.3 | 542 | -12 | 121 | -22 |
| CHN_YNS | Yunnan | 274 | -10 | 9.9 | 0.0 | 723 | -2 | 201 | -14 |
| CHN_ZJS | Zhejiang | 146 | -62 | 10.0 | 0.1 | 634 | 4 | 198 | -3 |