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Authors: 超级管理员 | Edit: qinxl
Annex A. Agroclimatic indicators and BIOMSS
Table A.1 October 2021 – January 2022 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 | 715 | -20 | 23.4 | 0.4 | 1276 | 7 | 1193 | -3 |
C02 | East African highlands | 164 | -30 | 18.4 | 0.2 | 1341 | 3 | 527 | -10 |
C03 | Gulf of Guinea | 156 | -31 | 25.8 | 0.6 | 1251 | 2 | 642 | -9 |
C04 | Horn of Africa | 222 | -43 | 22.1 | 0.6 | 1354 | 6 | 707 | -18 |
C05 | Madagascar (main) | 760 | -13 | 23.2 | 0.2 | 1407 | 5 | 1183 | -7 |
C06 | Southwest Madagascar | 145 | -62 | 26.3 | 0.3 | 1518 | 7 | 762 | -20 |
C07 | North Africa-Mediterranean | 132 | -34 | 11.6 | -0.4 | 753 | 6 | 355 | -21 |
C08 | Sahel | 54 | -13 | 25.5 | 0.2 | 1259 | 1 | 481 | 2 |
C09 | Southern Africa | 380 | -30 | 23.8 | 0.3 | 1396 | 2 | 932 | -12 |
C10 | Western Cape (SouthAfrica) | 178 | 24 | 18.0 | -0.1 | 1557 | 2 | 746 | 11 |
C11 | British Columbia to Colorado | 374 | 4 | -1.6 | 0.7 | 441 | 0 | 307 | 3 |
C12 | Northern Great Plains | 175 | -7 | 2.2 | 1.2 | 497 | 4 | 341 | -2 |
C13 | Corn Belt | 369 | -8 | 2.9 | 0.7 | 434 | 3 | 475 | 8 |
C14 | Cotton Belt to Mexican Nordeste | 285 | -23 | 12.6 | 1.2 | 697 | 5 | 600 | -6 |
C15 | Sub-boreal America | 227 | 3 | -6.2 | 0.1 | 248 | 3 | 248 | 8 |
C16 | West Coast (NorthAmerica) | 593 | 18 | 7.8 | -0.2 | 513 | -3 | 500 | 0 |
C17 | Sierra Madre | 205 | -18 | 15.8 | 0.4 | 1091 | 5 | 469 | -10 |
C18 | SW U.S. and N. Mexican highlands | 118 | -15 | 9.4 | 0.9 | 803 | 3 | 346 | -6 |
C19 | Northern South and Central America | 627 | -11 | 22.4 | 0.1 | 1100 | 6 | 955 | -4 |
C20 | Caribbean | 301 | -21 | 24.0 | 0.2 | 1081 | 6 | 865 | -3 |
C21 | Central-northern Andes | 861 | -7 | 15.5 | -0.1 | 1170 | 2 | 814 | -4 |
C22 | Nordeste (Brazil) | 155 | -43 | 27.3 | 1.3 | 1379 | 3 | 724 | -12 |
C23 | Central eastern Brazil | 575 | -39 | 25.8 | 1.2 | 1242 | -2 | 1129 | -17 |
C24 | Amazon | 1026 | -1 | 25.4 | 0.1 | 1185 | 3 | 1397 | 1 |
C25 | Central-north Argentina | 816 | 54 | 23.5 | -0.7 | 1331 | -4 | 1251 | 10 |
C26 | Pampas | 477 | -13 | 22.5 | 0.4 | 1436 | 2 | 1083 | -3 |
C27 | Western Patagonia | 207 | -31 | 12.9 | 0.5 | 1573 | 7 | 603 | -7 |
C28 | Semi-arid Southern Cone | 277 | 61 | 18.5 | 0.0 | 1620 | -1 | 701 | 6 |
C29 | Caucasus | 268 | -10 | 4.5 | 0.1 | 579 | 3 | 430 | -4 |
C30 | Pamir area | 159 | -18 | 2.5 | -0.3 | 738 | 3 | 285 | -9 |
C31 | Western Asia | 136 | -7 | 7.4 | 0.5 | 673 | 2 | 326 | -4 |
C32 | Gansu-Xinjiang (China) | 73 | -3 | -4.0 | -0.4 | 596 | 1 | 138 | -6 |
C33 | Hainan (China) | 756 | 36 | 21.1 | 0.4 | 751 | -1 | 903 | 7 |
C34 | Huanghuaihai (China) | 128 | 56 | 5.7 | 0.3 | 625 | -4 | 314 | 31 |
C35 | Inner Mongolia (China) | 70 | 39 | -5.9 | 0.3 | 574 | -2 | 168 | 16 |
C36 | Loess region (China) | 160 | 113 | 0.6 | -0.1 | 675 | -4 | 290 | 31 |
C37 | Lower Yangtze (China) | 319 | 9 | 10.8 | 0.3 | 626 | -2 | 630 | 8 |
C38 | Northeast China | 142 | 54 | -6.6 | 1.0 | 460 | -5 | 227 | 21 |
C39 | Qinghai-Tibet (China) | 213 | 4 | 0.0 | -0.5 | 873 | -1 | 279 | 2 |
C40 | Southern China | 378 | 11 | 14.8 | 0.2 | 744 | 1 | 710 | 6 |
C41 | Southwest China | 326 | 20 | 7.8 | 0.0 | 557 | -7 | 578 | 9 |
C42 | Taiwan (China) | 312 | -4 | 21.3 | 1.0 | 831 | 2 | 669 | 2 |
C43 | East Asia | 369 | 17 | 0.0 | 0.9 | 494 | -1 | 357 | 8 |
C44 | Southern Himalayas | 239 | 15 | 15.7 | -0.4 | 924 | 0 | 512 | 13 |
C45 | Southern Asia | 346 | 16 | 21.9 | -0.2 | 1083 | 0 | 740 | 11 |
C46 | Southern Japan and the southern fringe of the Korea peninsula | 380 | -20 | 9.4 | 0.6 | 637 | 10 | 612 | -7 |
C47 | Southern Mongolia | 36 | -30 | -12.7 | 0.6 | 477 | 2 | 94 | -6 |
C48 | Punjab to Gujarat | 115 | 177 | 19.7 | -0.6 | 971 | -2 | 443 | 36 |
C49 | Maritime Southeast Asia | 1367 | -1 | 24.4 | 0.2 | 1146 | 6 | 1456 | 2 |
C50 | Mainland Southeast Asia | 461 | 1 | 22.6 | 0.1 | 1052 | 2 | 833 | -2 |
C51 | Eastern Siberia | 247 | 3 | -7.6 | 2.0 | 275 | 1 | 207 | 11 |
C52 | Eastern Central Asia | 72 | -4 | -11.9 | 1.8 | 368 | -1 | 131 | 8 |
C53 | Northern Australia | 924 | 17 | 26.8 | 0.4 | 1439 | 3 | 1342 | 8 |
C54 | Queensland to Victoria | 360 | 44 | 19.8 | -0.9 | 1410 | -4 | 919 | 11 |
C55 | Nullarbor to Darling | 91 | -15 | 19.0 | -0.7 | 1540 | 1 | 605 | -5 |
C56 | New Zealand | 357 | 10 | 14.4 | 1.1 | 1298 | 1 | 870 | 8 |
C57 | Boreal Eurasia | 409 | 7 | -2.5 | 0.5 | 116 | -6 | 274 | 1 |
C58 | Ukraine to Ural mountains | 285 | 4 | -0.3 | 0.4 | 193 | 4 | 348 | 1 |
C59 | Mediterranean Europe and Turkey | 341 | -10 | 8.2 | -0.3 | 563 | 5 | 542 | -7 |
C60 | W. Europe (non Mediterranean) | 341 | -9 | 4.9 | -0.2 | 307 | 5 | 507 | -2 |
C61 | Boreal America | 370 | -8 | -8.3 | -2.0 | 140 | 2 | 174 | -16 |
C62 | Ural to Altai mountains | 191 | -1 | -4.9 | 1.8 | 262 | -3 | 230 | 3 |
C63 | Australian desert | 162 | 52 | 20.4 | -1.2 | 1556 | -1 | 709 | 6 |
C64 | Sahara to Afghan deserts | 61 | 0 | 16.8 | 0.2 | 951 | 2 | 320 | 1 |
C65 | Sub-arctic America | 106 | -7 | -17.2 | 2.1 | 39 | -5 | 66 | 33 |
Table A.2 October 2021 – January 2022 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 15YA Departure (%) |
ARG | Argentina | 516 | 18 | 22.2 | 0.2 | 1455 | 0 | 1060 | 5 |
AUS | Australia | 341 | 30 | 20.5 | -0.7 | 1434 | -2 | 870 | 8 |
BGD | Bangladesh | 241 | -6 | 20.5 | -0.4 | 970 | -2 | 598 | 4 |
BRA | Brazil | 659 | -28 | 25.5 | 0.9 | 1253 | 0 | 1144 | -13 |
KHM | Cambodia | 541 | 12 | 24.1 | -0.2 | 1069 | 0 | 979 | 3 |
CAN | Canada | 316 | -1 | -3.7 | 0.2 | 289 | 2 | 275 | 6 |
CHN | China | 264 | 18 | 6.2 | 0.3 | 618 | -3 | 404 | 11 |
EGY | Egypt | 70 | 28 | 17.1 | -0.1 | 775 | 1 | 281 | 12 |
ETH | Ethiopia | 127 | -24 | 18.4 | 0.1 | 1361 | 3 | 481 | -8 |
FRA | France | 348 | -16 | 5.9 | -0.8 | 373 | 13 | 542 | -8 |
DEU | Germany | 292 | -15 | 4.3 | 0.0 | 228 | 0 | 496 | -1 |
IND | India | 245 | 26 | 19.7 | -0.4 | 1024 | -1 | 592 | 18 |
IDN | Indonesia | 1396 | 2 | 24.5 | 0.2 | 1176 | 5 | 1494 | 3 |
IRN | Iran | 170 | -4 | 8.4 | 0.4 | 782 | 2 | 353 | -4 |
KAZ | Kazakhstan | 170 | 2 | -3.5 | 1.4 | 343 | -2 | 257 | 2 |
MEX | Mexico | 257 | -14 | 18.4 | 0.6 | 1050 | 6 | 536 | -6 |
MMR | Myanmar | 281 | -16 | 19.5 | 0.3 | 1048 | 3 | 644 | -4 |
NGA | Nigeria | 140 | -25 | 25.1 | 0.2 | 1283 | 3 | 568 | -4 |
PAK | Pakistan | 143 | 23 | 11.4 | -0.5 | 869 | 0 | 340 | 13 |
PHL | Philippines | 1016 | -6 | 24.7 | 0.1 | 1052 | 2 | 1287 | -3 |
POL | Poland | 248 | -10 | 3.3 | 0.0 | 217 | 6 | 457 | -1 |
ROU | Romania | 232 | -5 | 3.5 | 0.0 | 384 | 2 | 440 | -1 |
RUS | Russia | 246 | 5 | -3.5 | 1.1 | 219 | -1 | 263 | 4 |
ZAF | South Africa | 181 | -34 | 19.8 | -0.3 | 1516 | 4 | 766 | -11 |
THA | Thailand | 400 | -8 | 22.7 | 0.0 | 1100 | 4 | 811 | -4 |
TUR | Turkey | 323 | -8 | 5.5 | -0.2 | 593 | 3 | 510 | -3 |
GBR | United Kingdom | 426 | -15 | 7.1 | 0.5 | 169 | 1 | 578 | -1 |
UKR | Ukraine | 219 | -5 | 2.5 | 0.2 | 291 | 8 | 428 | 3 |
USA | United States | 291 | -12 | 6.6 | 1.0 | 571 | 4 | 447 | -2 |
UZB | Uzbekistan | 117 | -21 | 5.3 | 0.3 | 627 | 3 | 262 | -12 |
VNM | Vietnam | 698 | 21 | 19.5 | 0.0 | 809 | -2 | 939 | 2 |
AFG | Afghanistan | 133 | -2 | 4.4 | -0.3 | 791 | 2 | 312 | 1 |
AGO | Angola | 730 | -19 | 23.3 | 0.4 | 1277 | 4 | 1226 | -3 |
BLR | Belarus | 270 | -4 | 1.1 | 0.2 | 179 | 12 | 388 | 0 |
HUN | Hungary | 207 | -11 | 3.9 | -0.6 | 369 | 9 | 452 | -3 |
ITA | Italy | 419 | -2 | 7.5 | -0.3 | 465 | 2 | 600 | 3 |
KEN | Kenya | 277 | -34 | 20.7 | 0.4 | 1310 | 2 | 768 | -14 |
LKA | Sri_Lanka | 1283 | 9 | 24.8 | 0.2 | 1171 | 7 | 1424 | 4 |
MAR | Morocco | 105 | -51 | 11.9 | 0.1 | 815 | 6 | 322 | -29 |
MNG | Mongolia | 49 | -4 | -11.6 | 1.7 | 446 | 0 | 121 | 5 |
MOZ | Mozambique | 454 | -30 | 25.8 | 0.5 | 1346 | 2 | 995 | -14 |
ZMB | Zambia | 551 | -37 | 24.6 | 1.1 | 1366 | 4 | 1039 | -15 |
KGZ | Kyrgyzstan | 154 | -25 | -4.2 | 0.1 | 614 | 3 | 202 | -14 |
Note: Departures are expressed in relative terms (percentage) for all 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 Oct - Jan.
Table A.3 Argentina, October 2021 – January 2022 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 15YA Departure (%) | |
Buenos Aires | 316 | 20 | 20.5 | 0.2 | 1506 | -1 | 940 | 9 |
Chaco | 511 | -12 | 25.0 | -0.1 | 1367 | 2 | 1165 | -5 |
Cordoba | 423 | 53 | 23.0 | 0.3 | 1500 | -1 | 1059 | 12 |
Corrientes | 482 | -23 | 24.5 | 0.8 | 1464 | 5 | 1128 | -9 |
Entre Rios | 414 | -1 | 23.4 | 0.9 | 1541 | 5 | 1086 | 2 |
La Pampa | 338 | 49 | 21.5 | -0.3 | 1545 | -1 | 1031 | 19 |
Misiones | 829 | 12 | 23.2 | 0.2 | 1437 | 3 | 1296 | -4 |
Santiago Del Estero | 728 | 42 | 24.2 | -0.6 | 1363 | -1 | 1248 | 7 |
San Luis | 272 | 20 | 21.6 | -0.2 | 1495 | -3 | 933 | 6 |
Salta | 1411 | 61 | 20.3 | -1.1 | 1171 | -10 | 1338 | 8 |
Santa Fe | 505 | 17 | 24.4 | 0.6 | 1501 | 4 | 1161 | 6 |
Tucuman | 1090 | 100 | 19.7 | -0.5 | 1288 | -9 | 1252 | 17 |
Table A.4 Australia, October 2021 – January 2022 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 15YA Departure (%) | |
New South Wales | 396 | 47 | 20.2 | -1.5 | 1402 | -7 | 970 | 13 |
South Australia | 178 | 33 | 18.5 | -1.0 | 1463 | 0 | 707 | 5 |
Victoria | 298 | 25 | 17.1 | -0.5 | 1396 | 0 | 831 | 8 |
W. Australia | 138 | -11 | 20.1 | -0.6 | 1541 | 2 | 621 | -6 |
Table A.5 Brazil, October 2021 – January 2022 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 15YA Departure (%) | |
Ceara | 124 | -40 | 28.4 | 0.8 | 1421 | 4 | 726 | -2 |
Goias | 416 | -64 | 27.2 | 2.9 | 1224 | -5 | 904 | -40 |
Mato Grosso Do Sul | 525 | -42 | 27.1 | 1.3 | 1285 | -3 | 1208 | -17 |
Mato Grosso | 966 | -23 | 26.0 | 0.7 | 1126 | -3 | 1351 | -11 |
Minas Gerais | 565 | -50 | 24.2 | 1.8 | 1267 | 0 | 1073 | -23 |
Parana | 638 | -29 | 22.4 | 0.6 | 1329 | 1 | 1247 | -11 |
Rio Grande Do Sul | 391 | -36 | 21.8 | 0.5 | 1419 | 2 | 1030 | -14 |
Santa Catarina | 755 | -5 | 19.3 | -0.1 | 1244 | -2 | 1255 | -3 |
Sao Paulo | 482 | -57 | 24.4 | 1.5 | 1302 | 2 | 1091 | -26 |
Table A.6 Canada, October 2021 – January 2022 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 15YA Departure (%) | |
Alberta | 156 | 1 | -5.5 | -0.5 | 281 | 4 | 242 | -2 |
Manitoba | 233 | 23 | -4.8 | 0.8 | 293 | 3 | 287 | 14 |
Saskatchewan | 164 | 4 | -4.9 | 0.3 | 307 | 6 | 271 | 6 |
Table A.7 India, October 2021 – January 2022 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 15YA Departure (%) | |
Andhra Pradesh | 325 | 38 | 22.6 | -0.1 | 1096 | -1 | 811 | 17 |
Assam | 278 | -15 | 16.6 | -0.9 | 905 | 4 | 541 | -5 |
Bihar | 263 | 148 | 18.6 | -0.5 | 943 | -3 | 515 | 30 |
Chhattisgarh | 71 | -42 | 19.7 | 0.0 | 1096 | 2 | 444 | -8 |
Daman and Diu | 93 | 152 | 25.7 | -0.5 | 1147 | 0 | 588 | 26 |
Delhi | 301 | 727 | 16.5 | -1.5 | 865 | -6 | 609 | 113 |
Gujarat | 90 | 184 | 23.5 | -0.8 | 1097 | 0 | 506 | 25 |
Goa | 436 | 82 | 25.3 | -0.7 | 1154 | -2 | 937 | 29 |
Himachal Pradesh | 221 | 49 | 8.0 | -0.9 | 870 | -2 | 385 | 19 |
Haryana | 226 | 484 | 16.7 | -1.0 | 860 | -5 | 540 | 92 |
Jharkhand | 150 | 19 | 18.2 | -0.2 | 1019 | 0 | 492 | 10 |
Kerala | 980 | 31 | 24.4 | 0.0 | 1076 | -4 | 1123 | 3 |
Karnataka | 476 | 63 | 22.4 | -0.3 | 1097 | -3 | 881 | 20 |
Meghalaya | 249 | -30 | 17.2 | -0.5 | 940 | 5 | 532 | -10 |
Maharashtra | 178 | 50 | 22.1 | -0.5 | 1131 | 1 | 603 | 12 |
Manipur | 251 | -32 | 13.5 | -0.7 | 950 | 5 | 562 | -5 |
Madhya Pradesh | 74 | 35 | 19.0 | -0.5 | 1050 | 1 | 422 | 12 |
Mizoram | 267 | -27 | 16.4 | -0.5 | 975 | 0 | 601 | -2 |
Nagaland | 282 | -35 | 12.8 | -1.1 | 912 | 9 | 570 | -9 |
Orissa | 188 | -2 | 20.5 | 0.2 | 1058 | -1 | 591 | 6 |
Puducherry | 741 | 32 | 25.8 | 0.1 | 1141 | 0 | 1213 | 14 |
Punjab | 202 | 182 | 16.1 | -0.9 | 820 | -4 | 483 | 55 |
Rajasthan | 112 | 405 | 19.4 | -0.5 | 970 | -3 | 448 | 51 |
Sikkim | 227 | 306 | 9.0 | -0.5 | 1016 | -3 | 343 | 41 |
Tamil Nadu | 858 | 24 | 23.8 | 0.1 | 1065 | -1 | 1185 | 11 |
Tripura | 249 | -30 | 19.0 | -0.3 | 965 | 1 | 599 | -1 |
Uttarakhand | 174 | 144 | 9.8 | -1.2 | 909 | -4 | 374 | 43 |
Uttar Pradesh | 176 | 209 | 17.3 | -1.1 | 917 | -4 | 480 | 46 |
West Bengal | 260 | 55 | 19.9 | -0.5 | 976 | -2 | 591 | 15 |
Table A.8 Kazakhstan, October 2021 – January 2022 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 15YA Departure (%) | |
Akmolinskaya | 148 | 0 | -5.0 | 1.6 | 292 | -2 | 233 | 0 |
Karagandinskaya | 124 | -2 | -5.5 | 1.2 | 360 | -1 | 221 | -4 |
Kustanayskaya | 149 | -2 | -4.6 | 1.5 | 268 | 0 | 252 | 3 |
Pavlodarskaya | 132 | 2 | -5.0 | 1.9 | 261 | -6 | 234 | 2 |
Severo kazachstanskaya | 147 | -10 | -5.2 | 1.8 | 221 | -4 | 230 | 3 |
Vostochno kazachstanskaya | 208 | 0 | -5.1 | 1.2 | 389 | -1 | 228 | -1 |
Zapadno kazachstanskaya | 252 | 40 | -0.5 | 1.7 | 270 | -6 | 355 | 11 |
Table A.9 Russia, October 2021 – January 2022 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 15YA Departure (%) | |
Bashkortostan Rep. | 262 | 3 | -4.5 | 1.3 | 189 | 0 | 245 | 5 |
Chelyabinskaya Oblast | 144 | -12 | -5.3 | 1.3 | 217 | 1 | 233 | 4 |
Gorodovikovsk | 224 | -1 | 4.3 | 0.7 | 349 | 2 | 509 | 7 |
Krasnodarskiy Kray | 280 | 2 | -0.4 | 1.4 | 307 | 2 | 346 | 8 |
Kurganskaya Oblast | 162 | -9 | -5.3 | 1.6 | 180 | -2 | 229 | 4 |
Kirovskaya Oblast | 333 | 6 | -3.9 | 0.9 | 108 | -2 | 254 | 5 |
Kurskaya Oblast | 258 | -6 | 0.1 | 0.3 | 207 | 5 | 359 | -1 |
Lipetskaya Oblast | 245 | -7 | -0.6 | 0.5 | 193 | 2 | 340 | 0 |
Mordoviya Rep. | 254 | -8 | -1.9 | 0.7 | 160 | -3 | 303 | 2 |
Novosibirskaya Oblast | 234 | 4 | -5.7 | 2.7 | 162 | -13 | 213 | 7 |
Nizhegorodskaya O. | 310 | 6 | -2.4 | 0.6 | 128 | -4 | 290 | 2 |
Orenburgskaya Oblast | 238 | 12 | -3.2 | 1.4 | 249 | -1 | 280 | 5 |
Omskaya Oblast | 200 | 0 | -5.4 | 2.6 | 151 | -14 | 220 | 8 |
Permskaya Oblast | 331 | 11 | -4.7 | 1.6 | 117 | -4 | 233 | 8 |
Penzenskaya Oblast | 252 | -8 | -1.7 | 0.8 | 178 | -3 | 307 | 2 |
Rostovskaya Oblast | 264 | 12 | 3.0 | 0.8 | 320 | 3 | 461 | 6 |
Ryazanskaya Oblast | 303 | 10 | -1.2 | 0.4 | 161 | 2 | 319 | -1 |
Stavropolskiy Kray | 216 | -9 | 4.0 | 0.3 | 373 | 0 | 460 | -1 |
Sverdlovskaya Oblast | 210 | -1 | -5.2 | 2.0 | 145 | 2 | 225 | 9 |
Samarskaya Oblast | 279 | 13 | -2.3 | 1.2 | 191 | -6 | 299 | 4 |
Saratovskaya Oblast | 277 | 18 | -0.8 | 1.2 | 228 | -4 | 339 | 6 |
Tambovskaya Oblast | 251 | -7 | -0.8 | 0.7 | 190 | -2 | 336 | 1 |
Tyumenskaya Oblast | 211 | 2 | -5.3 | 2.4 | 138 | -10 | 223 | 9 |
Tatarstan Rep. | 281 | 3 | -3.1 | 1.2 | 144 | -6 | 275 | 5 |
Ulyanovskaya Oblast | 243 | -2 | -2.3 | 0.9 | 173 | -4 | 296 | 4 |
Udmurtiya Rep. | 327 | 10 | -4.0 | 1.3 | 116 | -8 | 251 | 6 |
Volgogradskaya O. | 268 | 27 | 1.0 | 1.2 | 277 | -1 | 398 | 8 |
Voronezhskaya Oblast | 225 | -10 | 0.2 | 0.6 | 234 | 1 | 370 | 2 |
Table A.10 United States, October 2021 – January 2022 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 15YA Departure (%) | |
Arkansas | 395 | -16 | 10.8 | 1.7 | 623 | 5 | 780 | 9 |
California | 386 | 19 | 9.7 | -0.3 | 646 | -1 | 472 | 0 |
Idaho | 347 | 6 | 0.0 | 0.8 | 453 | -1 | 377 | 7 |
Indiana | 389 | -4 | 5.3 | 0.9 | 479 | 2 | 582 | 7 |
Illinois | 352 | -3 | 5.1 | 0.9 | 490 | 1 | 579 | 9 |
Iowa | 232 | -9 | 2.4 | 0.9 | 495 | 4 | 459 | 6 |
Kansas | 118 | -37 | 8.0 | 2.2 | 671 | 8 | 306 | -24 |
Michigan | 301 | -15 | 1.7 | 0.5 | 353 | 1 | 447 | 7 |
Minnesota | 266 | 17 | -1.8 | 0.6 | 376 | 0 | 361 | 11 |
Missouri | 318 | -5 | 7.1 | 1.5 | 575 | 5 | 626 | 12 |
Montana | 164 | -12 | -0.3 | 1.3 | 437 | 1 | 326 | 3 |
Nebraska | 99 | -37 | 5.0 | 2.3 | 593 | 5 | 278 | -24 |
North Dakota | 231 | 53 | -1.7 | 0.7 | 398 | 1 | 363 | 21 |
Ohio | 360 | -8 | 4.9 | 0.8 | 466 | 4 | 566 | 7 |
Oklahoma | 189 | -28 | 11.0 | 2.1 | 702 | 7 | 423 | -17 |
Oregon | 543 | 5 | 4.1 | 0.2 | 398 | -4 | 468 | 2 |
South Dakota | 163 | 3 | 1.7 | 1.5 | 499 | 3 | 359 | 7 |
Texas | 196 | -27 | 14.7 | 1.9 | 767 | 6 | 456 | -14 |
Washington | 677 | 20 | 3.0 | 0.1 | 314 | -4 | 442 | 1 |
Wisconsin | 223 | -21 | -0.4 | 0.5 | 399 | 3 | 397 | 8 |
Table A.11 China, October 2021 – January 2022 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 15YA Departure (%) | |
Anhui | 213 | -1 | 9.2 | 0.6 | 652 | 1 | 464 | 0 |
Chongqing | 294 | 7 | 8.7 | 0.0 | 543 | -2 | 600 | 9 |
Fujian | 365 | -6 | 12.8 | 0.3 | 616 | -3 | 729 | 9 |
Gansu | 175 | 62 | -0.9 | -0.2 | 691 | -3 | 269 | 11 |
Guangdong | 373 | -4 | 16.2 | 0.3 | 747 | 2 | 700 | 1 |
Guangxi | 391 | 6 | 13.8 | -0.1 | 626 | -5 | 746 | 8 |
Guizhou | 396 | 12 | 8.7 | 0.0 | 459 | -7 | 689 | 5 |
Hebei | 128 | 171 | -0.6 | -0.1 | 600 | -4 | 254 | 59 |
Heilongjiang | 131 | 37 | -8.3 | 1.3 | 411 | -6 | 215 | 20 |
Henan | 126 | 14 | 6.9 | 0.0 | 629 | -6 | 345 | 17 |
Hubei | 223 | 1 | 8.3 | 0.3 | 627 | -3 | 483 | 3 |
Hunan | 358 | 12 | 10.0 | 0.1 | 580 | -6 | 697 | 15 |
Jiangsu | 214 | 13 | 9.5 | 0.7 | 672 | 4 | 464 | 5 |
Jiangxi | 306 | -12 | 11.3 | 0.4 | 620 | -3 | 652 | 5 |
Jilin | 147 | 46 | -5.8 | 0.7 | 499 | -5 | 241 | 20 |
Liaoning | 167 | 103 | -2.2 | 0.2 | 552 | -4 | 274 | 31 |
Inner Mongolia | 60 | 16 | -7.6 | 0.7 | 529 | -2 | 150 | 11 |
Ningxia | 86 | 53 | -1.6 | -0.5 | 716 | -1 | 194 | 7 |
Shaanxi | 198 | 82 | 2.8 | 0.0 | 644 | -5 | 334 | 25 |
Shandong | 116 | 57 | 5.8 | 0.4 | 636 | -3 | 303 | 28 |
Shanxi | 148 | 162 | -0.8 | 0.0 | 642 | -4 | 259 | 42 |
Sichuan | 327 | 27 | 6.2 | -0.1 | 561 | -9 | 504 | 8 |
Yunnan | 361 | 21 | 10.1 | 0.2 | 719 | -3 | 651 | 11 |
Zhejiang | 405 | 10 | 10.4 | 0.5 | 616 | 1 | 693 | 6 |