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Authors: 超级管理员 | Edit: gaoww
Table A.1 Oct 2019 - Jan 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 5YA dep. (%) | |
| C01 | Equatorial central Africa | 943 | 3 | 22.7 | -0.4 | 1192 | 0 | 652 | -7 |
| C02 | East African highlands | 396 | 97 | 17.4 | -0.3 | 1247 | -5 | 450 | 4 |
| C03 | Gulf of Guinea | 306 | 38 | 25.0 | -0.3 | 1221 | 0 | 444 | -12 |
| C04 | Horn of Africa | 691 | 84 | 22.4 | -0.5 | 1211 | -6 | 704 | 1 |
| C05 | Madagascar (main) | 1051 | 19 | 23.1 | 0.4 | 1332 | 1 | 806 | -3 |
| C06 | Southwest Madagascar | 240 | -37 | 27.2 | 1.0 | 1515 | 9 | 901 | 9 |
| C07 | North Africa-Mediterranean | 162 | -20 | 11.4 | -0.2 | 737 | 4 | 212 | -12 |
| C08 | Sahel | 150 | 230 | 24.9 | -0.7 | 1212 | -3 | 233 | 14 |
| C09 | Southern Africa | 591 | 16 | 23.9 | 0.3 | 1397 | 2 | 846 | 3 |
| C10 | Western Cape (South Africa) | 160 | 9 | 17.8 | -0.3 | 1526 | 0 | 709 | -4 |
| C11 | British Columbia to Colorado | 343 | -8 | -3.3 | -0.6 | 439 | 1 | 60 | -8 |
| C12 | Northern Great Plains | 218 | 17 | 0.3 | -0.9 | 461 | -4 | 80 | -10 |
| C13 | Corn Belt | 473 | 17 | 2.2 | 0.0 | 402 | -5 | 79 | -6 |
| C14 | Cotton Belt to Mexican Nordeste | 456 | 25 | 12.0 | 0.5 | 633 | -5 | 235 | -1 |
| C15 | Sub-boreal America | 207 | -9 | -6.6 | -0.3 | 237 | -1 | 29 | -5 |
| C16 | West Coast (North America) | 451 | -14 | 8.2 | -0.2 | 549 | 3 | 109 | -18 |
| C17 | Sierra Madre | 465 | 106 | 14.9 | 0.1 | 991 | -5 | 339 | 5 |
| C18 | SW U.S. and N. Mexican highlands | 163 | 20 | 8.6 | -0.1 | 775 | -1 | 185 | 2 |
| C19 | Northern South and Central America | 693 | 0 | 23.0 | 0.3 | 1073 | 4 | 602 | -2 |
| C20 | Caribbean | 410 | 9 | 23.6 | 0.1 | 1042 | 4 | 645 | 1 |
| C21 | Central-northern Andes | 863 | -3 | 14.2 | -0.1 | 1132 | -2 | 414 | -10 |
| C22 | Nordeste (Brazil) | 270 | 12 | 26.6 | 0.4 | 1383 | 3 | 829 | -1 |
| C23 | Central eastern Brazil | 930 | 0 | 24.9 | 0.4 | 1299 | 4 | 840 | 1 |
| C24 | Amazon | 1002 | -2 | 25.4 | -0.2 | 1197 | 5 | 791 | 3 |
| C25 | Central-north Argentina | 581 | 21 | 24.1 | -0.5 | 1383 | -1 | 874 | -2 |
| C26 | Pampas | 520 | -3 | 22.0 | 0.0 | 1401 | -1 | 822 | -2 |
| C27 | Western Patagonia | 248 | -23 | 12.6 | 0.3 | 1499 | 2 | 436 | 0 |
| C28 | Semi-arid Southern Cone | 197 | 30 | 18.8 | 0.1 | 1626 | -1 | 660 | 2 |
| C29 | Caucasus | 248 | -18 | 4.7 | 0.9 | 583 | 5 | 126 | 5 |
| C30 | Pamir area | 261 | 30 | 1.8 | -0.9 | 681 | -6 | 129 | 8 |
| C31 | Western Asia | 156 | 13 | 7.6 | 0.4 | 662 | -2 | 168 | 29 |
| C32 | Gansu-Xinjiang (China) | 67 | 7 | -2.7 | 0.5 | 583 | -3 | 85 | 4 |
| C33 | Hainan (China) | 249 | -55 | 21.3 | 0.8 | 873 | 16 | 510 | 16 |
| C34 | Huanghuaihai (China) | 105 | 37 | 6.8 | 1.2 | 615 | -7 | 151 | 7 |
| C35 | Inner Mongolia (China) | 57 | 21 | -5.4 | 0.7 | 578 | -2 | 82 | 7 |
| C36 | Loess region (China) | 99 | 37 | 1.6 | 0.8 | 661 | -7 | 115 | -5 |
| C37 | Lower Yangtze (China) | 250 | -17 | 11.7 | 1.2 | 658 | 2 | 227 | 7 |
| C38 | Northeast China | 88 | -3 | -6.9 | 0.7 | 490 | 0 | 67 | 7 |
| C39 | Qinghai-Tibet (China) | 278 | 39 | 0.0 | -0.1 | 819 | -8 | 116 | -11 |
| C40 | Southern China | 234 | -31 | 15.5 | 0.8 | 813 | 11 | 301 | -3 |
| C41 | Southwest China | 336 | 25 | 8.5 | 0.6 | 551 | -7 | 149 | -12 |
| C42 | Taiwan (China) | 178 | -51 | 20.3 | 0.6 | 888 | 10 | 377 | 8 |
| C43 | East Asia | 344 | 9 | -0.2 | 1.0 | 491 | -2 | 86 | 1 |
| C44 | Southern Himalayas | 250 | 27 | 15.7 | -0.4 | 898 | -3 | 291 | 12 |
| C45 | Southern Asia | 477 | 59 | 22.0 | -0.1 | 1036 | -5 | 497 | 18 |
| C46 | Southern Japan and Korea | 566 | 18 | 10.2 | 1.5 | 570 | -2 | 185 | 6 |
| C47 | Southern Mongolia | 24 | -4 | -7.7 | 1.2 | 498 | 0 | 36 | -29 |
| C48 | Punjab to Gujarat | 136 | 345 | 19.7 | -0.9 | 931 | -7 | 369 | 175 |
| C49 | Maritime Southeast Asia | 1291 | -9 | 24.1 | 0.2 | 1152 | 9 | 739 | 6 |
| C50 | Mainland Southeast Asia | 270 | -40 | 22.9 | 0.3 | 1133 | 10 | 535 | -5 |
| C51 | Eastern Siberia | 229 | -9 | -8.8 | 0.9 | 282 | 3 | 33 | 9 |
| C52 | Eastern Central Asia | 73 | -1 | -13.5 | 0.1 | 376 | 1 | 34 | 5 |
| C53 | Northern Australia | 432 | -46 | 26.8 | 0.5 | 1503 | 10 | 872 | -2 |
| C54 | Queensland to Victoria | 141 | -44 | 21.4 | 0.6 | 1561 | 7 | 779 | -1 |
| C55 | Nullarbor to Darling | 48 | -57 | 20.2 | 0.8 | 1618 | 7 | 813 | 8 |
| C56 | New Zealand | 257 | -25 | 13.5 | 0.5 | 1357 | 8 | 494 | 7 |
| C57 | Boreal Eurasia | 421 | 12 | -2.1 | 1.1 | 121 | -3 | 18 | -1 |
| C58 | Ukraine to Ural mountains | 254 | -8 | 1.9 | 2.9 | 180 | -3 | 39 | 15 |
| C59 | Mediterranean Europe and Turkey | 396 | 7 | 8.8 | 0.7 | 532 | -1 | 156 | 2 |
| C60 | W. Europe (non Mediterranean) | 388 | 7 | 6.1 | 1.2 | 296 | 0 | 73 | 3 |
| C61 | Boreal America | 462 | 17 | -7.0 | -0.5 | 133 | -2 | 17 | 3 |
| C62 | Ural to Altai mountains | 224 | 18 | -4.7 | 2.2 | 262 | -1 | 39 | 11 |
| C63 | Australian desert | 48 | -52 | 22.2 | 0.4 | 1647 | 5 | 799 | 0 |
| C64 | Sahara to Afghan deserts | 84 | 85 | 17.1 | 0.1 | 958 | -2 | 272 | 39 |
| C65 | Sub-arctic America | 97 | -10 | -19.5 | 0.7 | 36 | 0 | 2 | 5 |
Table A.2 Oct 2019 - Jan 2020 agroclimatic indicators and biomass 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 5YA Departure (%) |
| ARG | Argentina | 475 | 15 | 21.7 | -0.5 | 1421 | -2 | 817 | -1 |
| AUS | Australia | 143 | -45 | 21.8 | 0.7 | 1567 | 7 | 791 | 1 |
| BGD | Bangladesh | 306 | 17 | 20.6 | -0.2 | 942 | -5 | 418 | 26 |
| BRA | Brazil | 888 | -2 | 24.8 | 0.3 | 1290 | 4 | 824 | 1 |
| KHM | Cambodia | 298 | -37 | 24.7 | 0.3 | 1198 | 12 | 605 | -8 |
| CAN | Canada | 312 | -3 | -4.4 | -0.4 | 276 | -1 | 36 | -5 |
| CHN | China | 213 | -4 | 6.7 | 0.8 | 632 | -1 | 146 | 0 |
| EGY | Egypt | 81 | 99 | 17.3 | 0.5 | 772 | 0 | 174 | -14 |
| ETH | Ethiopia | 264 | 72 | 17.8 | -0.3 | 1283 | -3 | 439 | 12 |
| FRA | France | 542 | 39 | 7.4 | 0.8 | 300 | -10 | 79 | -9 |
| DEU | Germany | 317 | -5 | 5.3 | 1.2 | 230 | 0 | 54 | 1 |
| IND | India | 323 | 76 | 19.8 | -0.3 | 973 | -7 | 404 | 37 |
| IDN | Indonesia | 1250 | -11 | 24.4 | 0.2 | 1188 | 9 | 764 | 6 |
| IRN | Iran | 212 | 22 | 7.7 | -0.1 | 754 | -3 | 191 | 22 |
| KAZ | Kazakhstan | 189 | 15 | -3 | 1.8 | 347 | -2 | 54 | 8 |
| MEX | Mexico | 456 | 62 | 18 | 0.4 | 973 | -3 | 386 | 2 |
| MMR | Myanmar | 259 | -19 | 19.1 | 0 | 1075 | 6 | 364 | -17 |
| NGA | Nigeria | 282 | 57 | 24.6 | -0.4 | 1216 | -3 | 313 | -10 |
| PAK | Pakistan | 183 | 149 | 13.3 | -1.3 | 815 | -8 | 285 | 113 |
| PHL | Philippines | 898 | -16 | 24 | 0 | 1083 | 8 | 699 | 6 |
| POL | Poland | 221 | -20 | 5.3 | 2.2 | 215 | 3 | 51 | 12 |
| ROU | Romania | 160 | -35 | 5.3 | 2.1 | 412 | 9 | 90 | 10 |
| RUS | Russia | 236 | -1 | -2.4 | 2.4 | 216 | -1 | 36 | 13 |
| ZAF | South Africa | 268 | 0 | 20.6 | 0.2 | 1500 | 3 | 795 | 2 |
| THA | Thailand | 240 | -43 | 23.4 | 0.6 | 1170 | 10 | 561 | -4 |
| TUR | Turkey | 301 | -14 | 6.5 | 1.2 | 599 | 4 | 147 | 9 |
| GBR | United Kingdom | 520 | 9 | 6.3 | -0.2 | 163 | -3 | 40 | -7 |
| UKR | Ukraine | 156 | -34 | 4.6 | 2.6 | 294 | 8 | 73 | 26 |
| USA | United States | 389 | 18 | 5.6 | -0.1 | 533 | -4 | 126 | -5 |
| UZB | Uzbekistan | 127 | -14 | 5.5 | -0.1 | 617 | 1 | 117 | -1 |
| VNM | Vietnam | 416 | -28 | 20 | 0.4 | 912 | 11 | 481 | 1 |
| AFG | Afghanistan | 194 | 43 | 3.8 | -0.7 | 746 | -5 | 147 | 21 |
| AGO | Angola | 1029 | 20 | 22.9 | -0.2 | 1240 | 1 | 768 | 2 |
| BLR | Belarus | 240 | -15 | 3.9 | 3.2 | 155 | -5 | 37 | 19 |
| HUN | Hungary | 197 | -16 | 6 | 1.6 | 355 | 4 | 80 | 1 |
| ITA | Italy | 499 | 20 | 8.7 | 0.8 | 460 | 1 | 143 | 1 |
| KEN | Kenya | 831 | 122 | 19.7 | -0.6 | 1210 | -6 | 629 | -8 |
| LKA | Sri_Lanka | 1230 | 3 | 24.6 | 0.2 | 1158 | 9 | 767 | 7 |
| MAR | Morocco | 142 | -33 | 11.4 | -0.2 | 799 | 5 | 185 | -17 |
| MNG | Mongolia | 60 | 28 | -12.7 | 0.4 | 450 | -1 | 41 | 2 |
| MOZ | Mozambique | 710 | 12 | 25.7 | 0.3 | 1332 | 1 | 838 | -3 |
| ZMB | Zambia | 962 | 12 | 23.7 | 0.1 | 1315 | 0 | 786 | 2 |
Table A.3 Argentina,Oct 2019 - Jan 2020 agroclimatic indicators and biomass (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 5YA Departure (%) |
| Buenos Aires | 259 | 0 | 19.7 | -0.5 | 1496 | -2 | 799 | 1 |
| Chaco | 650 | 14 | 24.3 | -0.7 | 1320 | -2 | 853 | 0 |
| Cordoba | 310 | 17 | 22.5 | -0.3 | 1478 | -3 | 894 | 2 |
| Corrientes | 511 | -20 | 23.7 | 0.1 | 1377 | -1 | 839 | -4 |
| Entre Rios | 629 | 49 | 21.2 | -1.2 | 1389 | -6 | 810 | -5 |
| La Pampa | 171 | -22 | 21.7 | -0.1 | 1574 | 0 | 917 | 9 |
| Misiones | 706 | -10 | 23.2 | 0.5 | 1393 | 0 | 872 | -1 |
| Santiago Del Estero | 606 | 25 | 24.0 | -1.1 | 1347 | -2 | 864 | -2 |
| San Luis | 230 | 7 | 21.9 | 0.1 | 1550 | 1 | 916 | 8 |
| Salta | 1116 | 39 | 21.3 | -0.5 | 1294 | -3 | 739 | -10 |
| Santa Fe | 564 | 34 | 22.9 | -0.9 | 1374 | -5 | 838 | -2 |
| Tucuman | 674 | 36 | 20.5 | 0.2 | 1346 | -7 | 747 | -16 |
Table A.4 Australia, Oct 2019 - Jan 2020 agroclimatic indicators and biomass (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 5YA Departure (%) | |
| New South Wales | 114 | -54 | 22.7 | 1 | 1633 | 8 | 785 | -3 |
| South Australia | 125 | -4 | 19.4 | -0.3 | 1479 | 1 | 777 | 5 |
| Victoria | 192 | -17 | 17 | -0.4 | 1392 | -1 | 674 | -1 |
| W. Australia | 71 | -50 | 21 | 0.8 | 1614 | 7 | 803 | 6 |
Table A.5 Brazil, Oct 2019 - Jan 2020 agroclimatic indicators and biomass (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 5YA Departure (%) | |
| Ceara | 240 | 66 | 27.7 | 0 | 1401 | 1 | 895 | 8 |
| Goias | 1087 | -5 | 24.8 | 0.6 | 1337 | 5 | 865 | 4 |
| Mato Grosso Do Sul | 788 | -12 | 26.5 | 0.7 | 1355 | 3 | 918 | 3 |
| Mato Grosso | 1173 | -3 | 25.4 | 0 | 1230 | 7 | 824 | 5 |
| Minas Gerais | 1272 | 13 | 22.6 | 0.4 | 1291 | 3 | 776 | -3 |
| Parana | 840 | -7 | 22.4 | 0.8 | 1365 | 4 | 821 | 1 |
| Rio Grande Do Sul | 478 | -25 | 21.9 | 0.7 | 1389 | 0 | 787 | -6 |
| Santa Catarina | 736 | -6 | 19.7 | 0.5 | 1294 | 3 | 681 | -4 |
| Sao Paulo | 1046 | -8 | 23.4 | 0.5 | 1333 | 6 | 841 | 4 |
Table A.6 Canada, Oct 2019 - Jan 2020 agroclimatic indicators and biomass (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 5YA Departure (%) | |
| Alberta | 145 | -5 | -5.7 | -1 | 267 | -1 | 35 | -8 |
| Manitoba | 217 | 9 | -5.9 | -0.3 | 248 | -12 | 30 | -22 |
| Saskatchewan | 129 | -19 | -5.9 | -0.7 | 277 | -2 | 36 | -7 |
TableA.7 India, Oct 2019 - Jan 2020 agroclimatic indicators and biomass (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 5YA Departure (%) | |
| Andhra Pradesh | 438 | 70 | 22.9 | 0.1 | 1056 | -5 | 551 | 9 |
| Assam | 416 | 43 | 17.7 | -0.1 | 809 | -9 | 362 | -7 |
| Bihar | 112 | 7 | 18.5 | -0.7 | 899 | -8 | 291 | 14 |
| Chhattisgarh | 182 | 40 | 19.8 | 0.1 | 1034 | -4 | 354 | 22 |
| Daman and Diu | 79 | 98 | 25.7 | -0.2 | 1098 | -5 | 469 | 110 |
| Delhi | 147 | 370 | 17.2 | -0.8 | 845 | -10 | 269 | 60 |
| Gujarat | 145 | 351 | 23.6 | -0.7 | 1055 | -4 | 434 | 179 |
| Goa | 494 | 113 | 26.6 | -0.1 | 1145 | -5 | 550 | 32 |
| Himachal Pradesh | 307 | 120 | 6.6 | -1.3 | 826 | -8 | 162 | 40 |
| Haryana | 134 | 385 | 17.1 | -0.8 | 844 | -8 | 289 | 88 |
| Jharkhand | 243 | 89 | 17.8 | -0.3 | 958 | -7 | 338 | 27 |
| Kerala | 994 | 34 | 25.2 | 0.2 | 1131 | -1 | 691 | 7 |
| Karnataka | 622 | 93 | 22.6 | 0 | 1057 | -8 | 540 | 5 |
| Meghalaya | 428 | 6 | 17.2 | 0.2 | 828 | -8 | 339 | 3 |
| Maharashtra | 399 | 230 | 22.3 | -0.3 | 1037 | -9 | 452 | 47 |
| Manipur | 430 | 21 | 13.4 | -0.5 | 889 | -1 | 279 | -9 |
| Madhya Pradesh | 184 | 223 | 18.8 | -0.6 | 940 | -11 | 357 | 74 |
| Mizoram | 280 | -18 | 15.5 | -0.8 | 1000 | 3 | 344 | 3 |
| Nagaland | 698 | 68 | 12.9 | -0.4 | 766 | -8 | 270 | -13 |
| Orissa | 299 | 41 | 20.4 | 0.1 | 1032 | -4 | 405 | 14 |
| Puducherry | 957 | 6 | 25.9 | 0.1 | 1201 | 8 | 813 | 13 |
| Punjab | 202 | 290 | 15.8 | -1.4 | 784 | -9 | 287 | 53 |
| Rajasthan | 107 | 420 | 19.3 | -0.7 | 932 | -8 | 371 | 237 |
| Sikkim | 49 | -42 | 7.4 | -0.3 | 1035 | -2 | 130 | 2 |
| Tamil Nadu | 890 | 20 | 23.9 | -0.1 | 1096 | 2 | 694 | 2 |
| Tripura | 287 | -13 | 19.3 | 0.1 | 931 | -4 | 384 | 13 |
| Uttarakhand | 177 | 179 | 9.3 | -1.2 | 893 | -6 | 135 | 13 |
| Uttar Pradesh | 123 | 125 | 17.7 | -0.7 | 882 | -9 | 276 | 39 |
| West Bengal | 321 | 70 | 20.3 | -0.3 | 942 | -6 | 400 | 30 |
TableA.8 Kazakhstan, Oct 2019 - Jan 2020 agroclimatic indicators and biomass (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 5YA Departure (%) | |
| Akmolinskaya | 224 | 54 | -4.1 | 2.5 | 284 | -6 | 45 | 17 |
| Karagandinskaya | 162 | 31 | -4.9 | 1.9 | 356 | -5 | 47 | 3 |
| Kustanayskaya | 196 | 32 | -3.6 | 2.5 | 266 | -2 | 44 | 19 |
| Pavlodarskaya | 147 | 21 | -4.4 | 2.5 | 275 | -2 | 30 | -20 |
| Severo kazachstanskaya | 193 | 21 | -4.2 | 2.8 | 225 | -2 | 35 | 20 |
| Vostochno kazachstanskaya | 237 | 13 | -5.1 | 1 | 393 | -1 | 46 | -4 |
| Zapadno kazachstanskaya | 144 | -21 | 0.5 | 2.7 | 273 | -6 | 55 | 17 |
TableA.9 Russia,Oct 2019 - Jan 2020 agroclimatic indicators and biomass (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 5YA Departure (%) | |
| Bashkortostan Rep. | 263 | 4 | -3.3 | 2.6 | 181 | -5 | 29 | 12 |
| Chelyabinskaya Oblast | 170 | 7 | -4.4 | 2.2 | 218 | 3 | 34 | 19 |
| Gorodovikovsk | 148 | -37 | 5.3 | 1.9 | 391 | 18 | 103 | 35 |
| Krasnodarskiy Kray | 223 | -21 | -0.9 | 1.9 | 316 | 11 | 58 | 24 |
| Kurganskaya Oblast | 184 | 5 | -4.7 | 2.2 | 190 | 4 | 30 | 28 |
| Kirovskaya Oblast | 407 | 31 | -2.2 | 2.8 | 95 | -15 | 15 | -5 |
| Kurskaya Oblast | 211 | -24 | 2.4 | 2.9 | 200 | 1 | 43 | 20 |
| Lipetskaya Oblast | 220 | -18 | 1.8 | 3.1 | 185 | -3 | 38 | 17 |
| Mordoviya Rep. | 252 | -7 | 0.1 | 3 | 159 | -4 | 29 | 12 |
| Novosibirskaya Oblast | 266 | 20 | -5.8 | 2.7 | 188 | 0 | 27 | 21 |
| Nizhegorodskaya O. | 351 | 19 | 0 | 3.2 | 113 | -16 | 20 | -5 |
| Orenburgskaya Oblast | 218 | 4 | -2 | 2.6 | 242 | -4 | 43 | 19 |
| Omskaya Oblast | 216 | 9 | -5.2 | 3 | 178 | 2 | 28 | 29 |
| Permskaya Oblast | 348 | 18 | -3.8 | 2.6 | 108 | -11 | 16 | 2 |
| Penzenskaya Oblast | 240 | -12 | 0.1 | 2.8 | 169 | -8 | 31 | 6 |
| Rostovskaya Oblast | 147 | -41 | 4.3 | 2.3 | 343 | 12 | 85 | 31 |
| Ryazanskaya Oblast | 278 | -1 | 1.5 | 3.4 | 149 | -7 | 30 | 13 |
| Stavropolskiy Kray | 147 | -41 | 4.9 | 1.4 | 415 | 14 | 103 | 24 |
| Sverdlovskaya Oblast | 227 | 8 | -4.9 | 2.3 | 139 | 0 | 21 | 19 |
| Samarskaya Oblast | 215 | -11 | -0.8 | 2.8 | 187 | -8 | 34 | 11 |
| Saratovskaya Oblast | 174 | -24 | 0.7 | 2.8 | 231 | -3 | 46 | 15 |
| Tambovskaya Oblast | 220 | -20 | 1.4 | 3.1 | 185 | -5 | 37 | 14 |
| Tyumenskaya Oblast | 217 | 6 | -5.3 | 2.5 | 160 | 6 | 25 | 37 |
| Tatarstan Rep. | 249 | -6 | -1.5 | 2.8 | 139 | -11 | 23 | 1 |
| Ulyanovskaya Oblast | 198 | -19 | -0.6 | 2.8 | 173 | -5 | 31 | 10 |
| Udmurtiya Rep. | 338 | 17 | -2.7 | 2.8 | 106 | -16 | 16 | -7 |
| Volgogradskaya O. | 145 | -32 | 2.3 | 2.6 | 292 | 5 | 65 | 21 |
| Voronezhskaya Oblast | 172 | -33 | 2.2 | 2.8 | 230 | -1 | 50 | 19 |
Table A.10 United States, Oct 2019 - Jan 2020 agroclimatic indicators and biomass (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 5YA Departure (%) | |
| Arkansas | 583 | 29 | 9.2 | -0.1 | 564 | -6 | 175 | -5 |
| California | 274 | -22 | 9.9 | -0.1 | 671 | 3 | 117 | -23 |
| Idaho | 291 | -13 | -1.3 | -0.7 | 458 | 0 | 71 | -6 |
| Indiana | 464 | 14 | 4.8 | 0.3 | 448 | -5 | 110 | -3 |
| Illinois | 446 | 24 | 4.2 | -0.2 | 447 | -8 | 105 | -9 |
| Iowa | 318 | 26 | 1.1 | -0.7 | 448 | -6 | 83 | -13 |
| Kansas | 216 | 19 | 5.4 | -0.6 | 609 | -2 | 143 | -3 |
| Michigan | 461 | 26 | 1.1 | -0.1 | 313 | -11 | 59 | -14 |
| Minnesota | 319 | 38 | -2.9 | -0.7 | 339 | -11 | 49 | -23 |
| Missouri | 422 | 30 | 5.4 | -0.4 | 518 | -6 | 125 | -10 |
| Montana | 165 | -10 | -2.4 | -1.1 | 427 | -1 | 61 | -14 |
| Nebraska | 185 | 21 | 1.7 | -1.2 | 555 | -1 | 104 | -8 |
| North Dakota | 216 | 33 | -3.6 | -1.2 | 348 | -11 | 48 | -23 |
| Ohio | 420 | 7 | 4.7 | 0.7 | 440 | -1 | 106 | 0 |
| Oklahoma | 409 | 66 | 8.6 | -0.5 | 624 | -5 | 177 | -6 |
| Oregon | 439 | -19 | 3.6 | -0.3 | 419 | 3 | 81 | -1 |
| South Dakota | 207 | 32 | -1.2 | -1.6 | 452 | -6 | 71 | -20 |
| Texas | 293 | 9 | 13.1 | 0.1 | 703 | -3 | 261 | 2 |
| Washington | 519 | -4 | 2.7 | -0.1 | 331 | 0 | 67 | 0 |
| Wisconsin | 373 | 31 | -1.2 | -0.3 | 347 | -11 | 56 | -18 |
Table A.11 China, Oct 2019 - Jan 2020 agroclimatic indicators and biomass (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 5YA Departure (%) | |
| Anhui | 239 | 16 | 10 | 1.4 | 608 | -7 | 180 | -1 |
| Chongqing | 368 | 52 | 9.3 | 0.6 | 494 | -13 | 143 | -12 |
| Fujian | 200 | -47 | 13.4 | 1 | 743 | 17 | 280 | 16 |
| Gansu | 117 | 6 | -0.2 | 0.6 | 673 | -6 | 105 | -8 |
| Guangdong | 170 | -53 | 17.4 | 1.3 | 848 | 17 | 336 | 3 |
| Guangxi | 285 | -17 | 15.2 | 1 | 667 | 0 | 272 | -3 |
| Guizhou | 426 | 23 | 9.4 | 0.7 | 469 | -4 | 142 | -7 |
| Hebei | 59 | 35 | 0.6 | 0.7 | 602 | -4 | 112 | 7 |
| Heilongjiang | 88 | -4 | -8.7 | 0.8 | 448 | 1 | 56 | 5 |
| Henan | 154 | 54 | 8.1 | 1.1 | 611 | -10 | 158 | 3 |
| Hubei | 262 | 35 | 9.1 | 1 | 590 | -10 | 167 | -9 |
| Hunan | 303 | 4 | 10.9 | 1 | 623 | 0 | 218 | 7 |
| Jiangsu | 199 | 7 | 10.3 | 1.6 | 606 | -7 | 190 | 5 |
| Jiangxi | 212 | -35 | 12.4 | 1.5 | 692 | 8 | 257 | 16 |
| Jilin | 93 | -6 | -5.6 | 0.9 | 533 | 1 | 78 | 8 |
| Liaoning | 80 | -1 | -1.8 | 0.6 | 569 | -1 | 102 | 8 |
| Inner Mongolia | 53 | 11 | -7.6 | 0.6 | 537 | 0 | 70 | 8 |
| Ningxia | 68 | 27 | -0.4 | 0.5 | 695 | -4 | 111 | -1 |
| Shaanxi | 154 | 50 | 3.4 | 0.6 | 631 | -9 | 119 | -10 |
| Shandong | 100 | 48 | 6.5 | 1.3 | 629 | -5 | 154 | 6 |
| Shanxi | 83 | 50 | 0 | 0.8 | 628 | -7 | 105 | 2 |
| Sichuan | 323 | 29 | 6.7 | 0.5 | 560 | -10 | 131 | -18 |
| Yunnan | 294 | -2 | 10 | 0.2 | 780 | 6 | 213 | -8 |
| Zhejiang | 321 | -14 | 10.7 | 1 | 605 | -1 | 202 | -1 |