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Authors: 超级管理员 | Edit: zhaoxf
Annex A. Agroclimatic indicators and BIOMSS
Table A.1 Apr 2021 - Jul 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 | 496 | -20 | 22.3 | -0.1 | 1183 | 3 | 559 | -4 |
C02 | East African highlands | 727 | -5 | 18.5 | -0.4 | 1177 | -1 | 504 | -9 |
C03 | Gulf of Guinea | 392 | -36 | 27.7 | 0.7 | 1250 | 5 | 759 | 0 |
C04 | Horn of Africa | 314 | 1 | 20.2 | -0.3 | 1179 | 1 | 547 | -5 |
C05 | Madagascar (main) | 290 | 18 | 19.4 | -0.2 | 942 | 0 | 456 | 0 |
C06 | Southwest Madagascar | 34 | -51 | 21.2 | 0.1 | 995 | 2 | 404 | -6 |
C07 | North Africa-Mediterranean | 123 | 26 | 21.3 | 0.5 | 1532 | -2 | 610 | -3 |
C08 | Sahel | 307 | 3 | 29.9 | -0.2 | 1312 | 0 | 618 | -7 |
C09 | Southern Africa | 87 | -24 | 17.1 | -0.4 | 1034 | 3 | 318 | -9 |
C10 | Western Cape (South Africa) | 256 | 14 | 13.2 | 0.0 | 696 | 2 | 243 | -2 |
C11 | British Columbia to Colorado | 286 | -12 | 11.1 | 1.1 | 1442 | 4 | 491 | 0 |
C12 | Northern Great Plains | 375 | 3 | 16.9 | 0.1 | 1353 | 1 | 644 | 5 |
C13 | Corn Belt | 452 | 3 | 15.6 | -0.2 | 1243 | 0 | 534 | 0 |
C14 | Cotton Belt to Mexican Nordeste | 618 | 44 | 22.0 | -1.2 | 1373 | -2 | 801 | -2 |
C15 | Sub-boreal America | 304 | -16 | 10.8 | 0.5 | 1191 | 2 | 418 | -3 |
C16 | West Coast (North America) | 85 | -55 | 16.4 | 1.2 | 1574 | 6 | 503 | -23 |
C17 | Sierra Madre | 807 | 12 | 20.5 | -0.2 | 1452 | -1 | 632 | 0 |
C18 | SW U.S. and N. Mexican highlands | 214 | 17 | 20.6 | 0.6 | 1583 | 0 | 688 | 10 |
C19 | Northern South and Central America | 1105 | 2 | 24.1 | -0.3 | 1241 | 0 | 757 | 1 |
C20 | Caribbean | 550 | -5 | 25.7 | -0.1 | 1453 | 3 | 966 | 4 |
C21 | Central-northern Andes | 529 | -8 | 13.7 | -0.2 | 1057 | 1 | 318 | -3 |
C22 | Nordeste (Brazil) | 130 | -44 | 24.4 | 0.7 | 1102 | 5 | 593 | -6 |
C23 | Central eastern Brazil | 133 | -55 | 21.9 | 0.8 | 1023 | 6 | 418 | -12 |
C24 | Amazon | 561 | -14 | 24.0 | 0.2 | 1091 | 3 | 585 | -2 |
C25 | Central-north Argentina | 170 | -5 | 15.7 | 0.1 | 758 | 4 | 288 | 2 |
C26 | Pampas | 282 | -29 | 14.5 | -0.2 | 701 | 10 | 258 | 6 |
C27 | Western Patagonia | 556 | -29 | 7.7 | 0.4 | 497 | 6 | 118 | 7 |
C28 | Semi-arid Southern Cone | 93 | -20 | 10.5 | 0.4 | 725 | 2 | 177 | 5 |
C29 | Caucasus | 254 | -17 | 17.2 | 1.0 | 1497 | 2 | 526 | -1 |
C30 | Pamir area | 337 | -1 | 16.8 | -0.3 | 1583 | 2 | 538 | 1 |
C31 | Western Asia | 117 | 14 | 23.5 | 0.9 | 1568 | 1 | 487 | -3 |
C32 | Gansu-Xinjiang (China) | 266 | 7 | 16.0 | -0.3 | 1440 | 0 | 646 | 1 |
C33 | Hainan (China) | 746 | -17 | 27.2 | 0.7 | 1385 | 6 | 924 | 5 |
C34 | Huanghuaihai (China) | 493 | 50 | 21.8 | -0.3 | 1269 | -4 | 708 | 8 |
C35 | Inner Mongolia (China) | 282 | 32 | 15.9 | -0.3 | 1344 | -3 | 580 | 10 |
C36 | Loess region (China) | 299 | 7 | 17.1 | -0.1 | 1345 | -1 | 618 | 2 |
C37 | Lower Yangtze (China) | 1128 | 0 | 22.2 | 0.3 | 1086 | 0 | 653 | 3 |
C38 | Northeast China | 425 | 30 | 15.6 | 0.1 | 1274 | 1 | 551 | 2 |
C39 | Qinghai-Tibet (China) | 957 | -14 | 10.2 | -0.1 | 1178 | 0 | 333 | -1 |
C40 | Southern China | 1178 | -12 | 23.3 | 0.7 | 1217 | 9 | 742 | 12 |
C41 | Southwest China | 893 | 1 | 18.5 | 0.0 | 1033 | -4 | 524 | -1 |
C42 | Taiwan (China) | 793 | -18 | 26.3 | 1.0 | 1320 | 5 | 785 | -1 |
C43 | East Asia | 552 | 3 | 14.8 | 0.5 | 1227 | 3 | 507 | 8 |
C44 | Southern Himalayas | 904 | -13 | 26.2 | -0.2 | 1247 | 0 | 664 | -2 |
C45 | Southern Asia | 812 | 3 | 28.9 | -0.6 | 1224 | -1 | 712 | 3 |
C46 | Southern Japan and the southern fringe of the Korea peninsula | 872 | 2 | 18.3 | 0.6 | 1201 | 2 | 578 | 4 |
C47 | Southern Mongolia | 180 | -11 | 7.7 | -0.3 | 1510 | 2 | 446 | 6 |
C48 | Punjab to Gujarat | 443 | 18 | 31.9 | -0.5 | 1372 | -4 | 756 | 19 |
C49 | Maritime Southeast Asia | 1107 | -10 | 24.6 | 0.2 | 1170 | 6 | 767 | 6 |
C50 | Mainland Southeast Asia | 1223 | 6 | 26.7 | 0.0 | 1245 | 4 | 828 | 6 |
C51 | Eastern Siberia | 326 | 1 | 9.9 | 0.0 | 1145 | 2 | 399 | 8 |
C52 | Eastern Central Asia | 369 | 40 | 9.8 | -1.0 | 1229 | -5 | 391 | -9 |
C53 | Northern Australia | 344 | -11 | 23.9 | 0.5 | 1114 | 5 | 587 | 1 |
C54 | Queensland to Victoria | 226 | 16 | 12.3 | -0.2 | 650 | 1 | 219 | 0 |
C55 | Nullarbor to Darling | 366 | 67 | 14.2 | 0.2 | 588 | -6 | 242 | 2 |
C56 | New Zealand | 337 | -11 | 9.5 | 0.6 | 453 | 4 | 132 | 8 |
C57 | Boreal Eurasia | 344 | 3 | 10.0 | 0.2 | 1109 | 3 | 369 | 9 |
C58 | Ukraine to Ural mountains | 345 | 12 | 14.7 | 0.7 | 1163 | 0 | 525 | 10 |
C59 | Mediterranean Europe and Turkey | 175 | -18 | 16.9 | -0.2 | 1464 | 0 | 579 | -2 |
C60 | W. Europe (non Mediterranean) | 389 | 8 | 13.7 | -0.8 | 1222 | 0 | 486 | -2 |
C61 | Boreal America | 362 | 4 | 5.8 | -0.3 | 969 | -3 | 241 | -3 |
C62 | Ural to Altai mountains | 296 | 6 | 13.7 | 0.3 | 1258 | 4 | 521 | 8 |
C63 | Australian desert | 185 | 33 | 15.5 | 0.3 | 676 | -1 | 271 | 6 |
C64 | Sahara to Afghan deserts | 42 | 38 | 28.4 | 0.5 | 1618 | -1 | 323 | -16 |
C65 | Sub-arctic America | 157 | 24 | -3.7 | 0.1 | 1150 | -6 | 159 | -5 |
Table A.2 Apr 2021 - Jul 2021 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 | 231 | -10 | 13.5 | 0.0 | 677 | 7 | 236 | 8 |
AUS | Australia | 237 | 22 | 13.6 | -0.1 | 677 | 0 | 235 | 1 |
BGD | Bangladesh | 1432 | -7 | 29.1 | 0.4 | 1259 | 0 | 793 | -5 |
BRA | Brazil | 247 | -40 | 22.2 | 0.6 | 1042 | 6 | 472 | -7 |
KHM | Cambodia | 1088 | 3 | 26.9 | 0.0 | 1227 | 5 | 836 | 6 |
CAN | Canada | 355 | -8 | 11.3 | 0.5 | 1198 | 2 | 411 | 8 |
CHN | China | 825 | 0 | 19.6 | 0.1 | 1175 | 0 | 603 | 1 |
EGY | Egypt | 0 | -94 | 23.8 | 0.3 | 1619 | 2 | 118 | -60 |
ETH | Ethiopia | 755 | -4 | 19.1 | -0.5 | 1203 | -3 | 512 | -11 |
FRA | France | 478 | 25 | 13.5 | -1.1 | 1227 | -1 | 467 | -7 |
DEU | Germany | 477 | 40 | 12.7 | -1.3 | 1148 | -4 | 427 | -8 |
IND | India | 746 | -7 | 29.0 | -0.6 | 1249 | -1 | 686 | 4 |
IDN | Indonesia | 1042 | -11 | 24.5 | 0.3 | 1141 | 6 | 740 | 6 |
IRN | Iran | 91 | -1 | 22.8 | 1.4 | 1628 | 0 | 434 | -1 |
KAZ | Kazakhstan | 290 | 23 | 15.6 | 0.1 | 1351 | 2 | 598 | 7 |
MEX | Mexico | 712 | 17 | 23.4 | -0.1 | 1459 | -1 | 730 | 2 |
MMR | Myanmar | 1147 | -18 | 25.6 | 0.5 | 1186 | 1 | 747 | 6 |
NGA | Nigeria | 351 | -42 | 28.3 | 0.5 | 1256 | 4 | 684 | -5 |
PAK | Pakistan | 245 | -4 | 25.1 | -0.7 | 1547 | -1 | 671 | 6 |
PHL | Philippines | 1253 | -7 | 26.0 | 0.2 | 1341 | 4 | 895 | 3 |
POL | Poland | 330 | 1 | 14.2 | -0.4 | 1179 | 1 | 496 | 6 |
ROU | Romania | 314 | -16 | 15.4 | -0.8 | 1325 | 1 | 585 | 0 |
RUS | Russia | 340 | 10 | 13.9 | 0.6 | 1178 | 1 | 490 | 7 |
ZAF | South Africa | 57 | -36 | 12.4 | -0.3 | 925 | 5 | 213 | -15 |
THA | Thailand | 1260 | 36 | 26.4 | -0.4 | 1238 | 5 | 836 | 6 |
TUR | Turkey | 154 | -35 | 16.7 | 0.4 | 1525 | 2 | 511 | -7 |
GBR | United Kingdom | 360 | -6 | 10.7 | -0.7 | 1024 | 4 | 326 | 1 |
UKR | Ukraine | 374 | 24 | 15.4 | -0.7 | 1219 | -2 | 555 | -1 |
USA | United States | 459 | 20 | 18.3 | -0.4 | 1363 | 0 | 645 | 2 |
UZB | Uzbekistan | 125 | -7 | 23.2 | 0.9 | 1600 | 2 | 533 | -7 |
VNM | Vietnam | 1137 | 1 | 25.1 | 0.2 | 1272 | 7 | 827 | 8 |
AFG | Afghanistan | 195 | 12 | 19.7 | 0.2 | 1625 | 1 | 390 | -1 |
AGO | Angola | 160 | -16 | 19.7 | -0.1 | 1217 | 1 | 270 | -16 |
BLR | Belarus | 317 | 0 | 14.5 | 0.4 | 1136 | 2 | 504 | 13 |
HUN | Hungary | 249 | -5 | 16.6 | -0.8 | 1329 | 1 | 632 | 2 |
ITA | Italy | 350 | -7 | 16.5 | -0.5 | 1388 | -2 | 616 | 1 |
KEN | Kenya | 546 | -12 | 19.3 | -0.2 | 1146 | 3 | 570 | -1 |
LKA | Sri_Lanka | 1250 | 40 | 26.5 | -0.3 | 1288 | 1 | 851 | 2 |
MAR | Morocco | 123 | 36 | 20.2 | 0.0 | 1561 | -2 | 623 | -2 |
MNG | Mongolia | 373 | 45 | 9.3 | -1.2 | 1304 | -5 | 391 | -10 |
MOZ | Mozambique | 111 | -15 | 19.5 | -0.5 | 976 | 1 | 492 | -2 |
ZMB | Zambia | 32 | -54 | 17.7 | -0.5 | 1162 | 3 | 315 | -12 |
KGZ | Kyrgyzstan | 528 | 12 | 10.7 | -0.2 | 1508 | 2 | 467 | 2 |
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 Jan - Apr.
Table A.3 Argentina, Apr 2021 - Jul 2021 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 | 196 | -8 | 12.0 | 0.4 | 596 | 4 | 201 | 0 |
Chaco | 277 | -10 | 16.3 | -0.3 | 714 | 15 | 297 | -6 |
Cordoba | 145 | 25 | 13.1 | 0.1 | 714 | 4 | 234 | 6 |
Corrientes | 370 | -20 | 15.3 | -0.5 | 676 | 12 | 273 | 8 |
Entre Rios | 349 | 4 | 13.6 | -0.3 | 640 | 7 | 243 | 1 |
La Pampa | 125 | -4 | 12.1 | 0.5 | 629 | 5 | 192 | 6 |
Misiones | 325 | -46 | 15.8 | -0.6 | 763 | 16 | 296 | 2 |
Santiago Del Estero | 194 | 15 | 15.6 | 0.0 | 728 | 6 | 273 | 4 |
San Luis | 84 | 0 | 12.0 | 0.4 | 718 | 3 | 213 | 6 |
Salta | 219 | 11 | 13.8 | -0.1 | 809 | 1 | 280 | -1 |
Santa Fe | 263 | 8 | 14.4 | -0.3 | 691 | 11 | 270 | 16 |
Tucuman | 138 | 21 | 12.3 | 0.1 | 812 | -3 | 246 | -5 |
Table A.4 Australia, Apr 2021 - Jul 2021 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 | 196 | 12 | 11.6 | -0.4 | 682 | 1 | 211 | -3 |
South Australia | 255 | 24 | 13.7 | 0.2 | 547 | 0 | 217 | 5 |
Victoria | 294 | 13 | 10.8 | -0.1 | 467 | -2 | 159 | 1 |
W. Australia | 329 | 61 | 15.4 | 0.2 | 649 | -5 | 245 | 1 |
Table A.5 Brazil, Apr 2021 - Jul 2021 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 | 173 | -57 | 26.1 | 1.0 | 1227 | 6 | 768 | 2 |
Goias | 17 | -92 | 23.3 | 1.9 | 1124 | 5 | 238 | -48 |
Mato Grosso Do Sul | 93 | -66 | 21.5 | 0.9 | 942 | 10 | 408 | -6 |
Mato Grosso | 95 | -62 | 24.0 | 0.7 | 1118 | 4 | 391 | -19 |
Minas Gerais | 52 | -77 | 19.8 | 0.7 | 1016 | 10 | 389 | -12 |
Parana | 263 | -48 | 16.2 | -0.4 | 852 | 14 | 316 | -3 |
Rio Grande Do Sul | 348 | -39 | 14.4 | -0.4 | 702 | 10 | 266 | -18 |
Santa Catarina | 328 | -44 | 13.6 | -0.8 | 767 | 12 | 278 | 4 |
Sao Paulo | 79 | -75 | 19.1 | 0.6 | 947 | 13 | 381 | -3 |
Table A.6 Canada, Apr 2021 - Jul 2021 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 | 270 | -23 | 11.6 | 0.7 | 1306 | 4 | 476 | -6 |
Manitoba | 304 | -16 | 12.8 | 0.7 | 1225 | 2 | 500 | -3 |
Saskatchewan | 302 | -9 | 12.6 | 0.5 | 1278 | 3 | 504 | -2 |
Table A.7 India, Apr 2021 - Jul 2021 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 | 500 | 5 | 29.7 | -1.0 | 1203 | -1 | 713 | 3 |
Assam | 1812 | -24 | 25.6 | 0.8 | 1145 | 7 | 721 | 4 |
Bihar | 862 | 5 | 30.7 | -1.0 | 1287 | -3 | 657 | -15 |
Chhattisgarh | 456 | -34 | 29.5 | -0.9 | 1241 | 1 | 646 | -4 |
Daman and Diu | 925 | -15 | 29.4 | 0.2 | 1443 | 0 | 559 | 16 |
Delhi | 301 | 15 | 32.2 | -1.2 | 1428 | -2 | 803 | 1 |
Gujarat | 657 | 2 | 31.0 | -0.2 | 1358 | -2 | 611 | 36 |
Goa | 2431 | 16 | 26.5 | -0.2 | 1167 | -6 | 630 | -1 |
Himachal Pradesh | 494 | -17 | 20.2 | -0.9 | 1427 | -2 | 544 | -12 |
Haryana | 288 | 20 | 32.3 | -0.9 | 1440 | 0 | 829 | 7 |
Jharkhand | 603 | -14 | 29.9 | -0.7 | 1265 | 0 | 640 | -9 |
Kerala | 1656 | 0 | 25.2 | -0.3 | 1254 | 7 | 827 | 6 |
Karnataka | 886 | 28 | 26.2 | -0.6 | 1117 | -1 | 699 | 3 |
Meghalaya | 1471 | -31 | 25.9 | 1.1 | 1198 | 9 | 745 | 6 |
Maharashtra | 1000 | 26 | 28.6 | -1.0 | 1196 | -4 | 702 | 16 |
Manipur | 998 | -45 | 22.5 | 0.6 | 1187 | 7 | 669 | 4 |
Madhya Pradesh | 478 | -23 | 30.8 | -0.6 | 1209 | -6 | 583 | 1 |
Mizoram | 1334 | -17 | 24.7 | 0.2 | 1220 | 0 | 759 | -1 |
Nagaland | 1427 | -29 | 22.0 | 0.4 | 1180 | 8 | 650 | 6 |
Orissa | 536 | -29 | 29.4 | -0.6 | 1249 | 3 | 683 | -5 |
Puducherry | 893 | -17 | 29.3 | -0.5 | 1351 | 6 | 894 | 12 |
Punjab | 334 | 17 | 31.9 | -0.7 | 1439 | -1 | 783 | -7 |
Rajasthan | 415 | 36 | 32.6 | -0.6 | 1306 | -7 | 726 | 20 |
Sikkim | 488 | -24 | 17.2 | 0.0 | 1398 | 4 | 471 | -10 |
Tamil Nadu | 503 | 6 | 28.0 | -0.4 | 1240 | 3 | 778 | 4 |
Tripura | 1366 | -22 | 27.9 | 0.6 | 1240 | 2 | 816 | 0 |
Uttarakhand | 413 | -27 | 22.3 | -1.1 | 1430 | 1 | 586 | -7 |
Uttar Pradesh | 549 | 7 | 31.7 | -1.1 | 1306 | -5 | 704 | -3 |
West Bengal | 1002 | -11 | 29.9 | -0.1 | 1280 | 0 | 703 | -12 |
Table A.8 Kazakhstan, Apr 2021 - Jul 2021 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 | 236 | 16 | 14.7 | -0.1 | 1275 | 1 | 555 | 6 |
Karagandinskaya | 249 | 33 | 14.2 | -0.3 | 1365 | 2 | 552 | 4 |
Kustanayskaya | 180 | -19 | 16.0 | 1.0 | 1313 | 6 | 631 | 17 |
Pavlodarskaya | 259 | 21 | 14.5 | -0.5 | 1276 | 2 | 539 | 1 |
Severo kazachstanskaya | 230 | -10 | 14.4 | 0.7 | 1224 | 5 | 528 | 14 |
Vostochno kazachstanskaya | 368 | 33 | 12.6 | -1.2 | 1414 | 2 | 523 | -3 |
Zapadno kazachstanskaya | 367 | 107 | 19.2 | 1.3 | 1333 | 1 | 731 | 15 |
Table A.9 Russia, Apr 2021 - Jul 2021 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. | 234 | -30 | 14.5 | 1.8 | 1236 | 7 | 538 | 21 |
Chelyabinskaya Oblast | 179 | -39 | 14.5 | 1.6 | 1259 | 9 | 549 | 22 |
Gorodovikovsk | 416 | 48 | 18.7 | 0.2 | 1288 | -4 | 681 | 2 |
Krasnodarskiy Kray | 381 | 4 | 14.0 | -0.6 | 1225 | -2 | 491 | -3 |
Kurganskaya Oblast | 198 | -27 | 14.3 | 1.4 | 1222 | 10 | 530 | 23 |
Kirovskaya Oblast | 331 | 4 | 13.5 | 1.8 | 1104 | 6 | 474 | 23 |
Kurskaya Oblast | 378 | 28 | 14.6 | -0.1 | 1145 | -3 | 509 | 3 |
Lipetskaya Oblast | 359 | 25 | 14.9 | 0.4 | 1151 | -2 | 517 | 5 |
Mordoviya Rep. | 429 | 37 | 14.8 | 1.3 | 1119 | -2 | 514 | 12 |
Novosibirskaya Oblast | 309 | 10 | 12.3 | -0.2 | 1140 | 3 | 438 | 4 |
Nizhegorodskaya O. | 343 | 11 | 14.5 | 1.5 | 1125 | 2 | 517 | 20 |
Orenburgskaya Oblast | 258 | 2 | 16.6 | 1.5 | 1307 | 4 | 650 | 19 |
Omskaya Oblast | 288 | 4 | 13.2 | 0.7 | 1134 | 4 | 461 | 12 |
Permskaya Oblast | 332 | 2 | 13.4 | 1.9 | 1101 | 6 | 456 | 20 |
Penzenskaya Oblast | 467 | 57 | 15.1 | 1.1 | 1121 | -4 | 514 | 8 |
Rostovskaya Oblast | 377 | 41 | 17.8 | 0.1 | 1265 | -4 | 627 | -2 |
Ryazanskaya Oblast | 404 | 33 | 14.9 | 0.9 | 1101 | -3 | 503 | 8 |
Stavropolskiy Kray | 468 | 10 | 17.9 | 0.4 | 1326 | 0 | 601 | -6 |
Sverdlovskaya Oblast | 217 | -31 | 13.7 | 2.1 | 1184 | 13 | 488 | 27 |
Samarskaya Oblast | 386 | 30 | 16.2 | 1.7 | 1189 | -1 | 577 | 14 |
Saratovskaya Oblast | 432 | 72 | 16.8 | 1.0 | 1209 | -4 | 604 | 7 |
Tambovskaya Oblast | 420 | 47 | 15.5 | 0.8 | 1171 | -2 | 539 | 7 |
Tyumenskaya Oblast | 226 | -18 | 13.6 | 1.5 | 1139 | 8 | 474 | 20 |
Tatarstan Rep. | 361 | 17 | 14.8 | 1.7 | 1146 | 2 | 522 | 18 |
Ulyanovskaya Oblast | 404 | 33 | 15.3 | 1.4 | 1125 | -3 | 527 | 11 |
Udmurtiya Rep. | 338 | 11 | 13.9 | 1.8 | 1105 | 4 | 476 | 19 |
Volgogradskaya O. | 348 | 56 | 17.7 | 0.5 | 1236 | -4 | 632 | 4 |
Voronezhskaya Oblast | 368 | 28 | 15.9 | 0.4 | 1205 | -2 | 564 | 4 |
Table A.10 United States, Apr 2021 - Jul 2021 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 | 533 | 22 | 21.1 | -1.5 | 1356 | -2 | 763 | -5 |
California | 31 | -70 | 18.5 | 1.2 | 1696 | 4 | 487 | -24 |
Idaho | 129 | -47 | 13.7 | 1.7 | 1546 | 5 | 571 | 13 |
Indiana | 491 | 6 | 17.8 | -0.7 | 1317 | 0 | 654 | -2 |
Illinois | 582 | 28 | 18.2 | -0.8 | 1299 | -2 | 659 | -4 |
Iowa | 456 | 7 | 17.5 | -0.2 | 1288 | -1 | 648 | 0 |
Kansas | 383 | 9 | 20.2 | -1.2 | 1387 | -2 | 758 | -4 |
Michigan | 412 | 6 | 14.3 | 0.4 | 1236 | 0 | 513 | 2 |
Minnesota | 359 | -11 | 15.5 | 0.8 | 1265 | 3 | 579 | -1 |
Missouri | 548 | 33 | 19.3 | -1.3 | 1319 | -3 | 697 | -7 |
Montana | 288 | -13 | 13.8 | 1.2 | 1423 | 3 | 598 | 2 |
Nebraska | 276 | -21 | 18.3 | -0.1 | 1421 | 2 | 733 | -6 |
North Dakota | 317 | -11 | 16.0 | 1.4 | 1326 | 3 | 626 | 13 |
Ohio | 412 | -5 | 17.1 | -0.5 | 1307 | 1 | 630 | -1 |
Oklahoma | 507 | 40 | 21.4 | -1.9 | 1348 | -5 | 766 | -7 |
Oregon | 116 | -50 | 14.3 | 1.5 | 1498 | 8 | 598 | -15 |
South Dakota | 342 | -5 | 17.4 | 0.7 | 1373 | 2 | 686 | 7 |
Texas | 626 | 93 | 23.6 | -1.5 | 1339 | -7 | 827 | -4 |
Washington | 130 | -50 | 14.5 | 1.4 | 1443 | 8 | 543 | -23 |
Wisconsin | 401 | -4 | 15.2 | 0.6 | 1248 | 1 | 560 | 6 |
Table A.11 China, Apr 2021 - Jul 2021 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 | 1013 | 34 | 22.1 | 0.0 | 1092 | -6 | 646 | 8 |
Chongqing | 922 | 6 | 19.7 | -0.4 | 967 | -9 | 536 | -8 |
Fujian | 1081 | -20 | 22.3 | 0.9 | 1140 | 9 | 695 | 14 |
Gansu | 318 | -10 | 14.1 | 0.1 | 1315 | 0 | 554 | 6 |
Guangdong | 1168 | -26 | 25.2 | 1.0 | 1261 | 13 | 833 | 16 |
Guangxi | 1346 | -5 | 23.6 | 0.5 | 1138 | 6 | 725 | 8 |
Guizhou | 920 | -15 | 18.9 | 0.0 | 924 | -4 | 492 | -1 |
Hebei | 375 | 63 | 18.8 | -0.6 | 1335 | -4 | 637 | 8 |
Heilongjiang | 423 | 35 | 15.4 | 0.3 | 1277 | 3 | 553 | 5 |
Henan | 533 | 38 | 21.9 | -0.4 | 1225 | -5 | 703 | 10 |
Hubei | 788 | -1 | 20.5 | -0.3 | 1056 | -8 | 596 | -6 |
Hunan | 1042 | -9 | 21.5 | 0.0 | 1029 | -2 | 618 | 1 |
Jiangsu | 847 | 33 | 22.0 | 0.3 | 1157 | -3 | 673 | 0 |
Jiangxi | 1209 | -7 | 22.7 | 0.5 | 1087 | 3 | 669 | 7 |
Jilin | 380 | 8 | 16.0 | 0.2 | 1300 | 1 | 581 | 3 |
Liaoning | 426 | 31 | 17.0 | -0.3 | 1262 | -3 | 584 | 13 |
Inner Mongolia | 312 | 46 | 15.3 | -0.3 | 1325 | -2 | 561 | 15 |
Ningxia | 144 | -17 | 17.0 | 0.2 | 1450 | 3 | 677 | 5 |
Shaanxi | 491 | 11 | 17.9 | -0.1 | 1245 | -3 | 624 | -1 |
Shandong | 419 | 33 | 21.5 | -0.3 | 1283 | -5 | 716 | 9 |
Shanxi | 268 | 14 | 17.2 | -0.2 | 1360 | -2 | 619 | -1 |
Sichuan | 943 | 13 | 17.1 | -0.1 | 1076 | -5 | 490 | -4 |
Yunnan | 1007 | 4 | 18.5 | 0.4 | 1134 | 5 | 546 | 8 |
Zhejiang | 1477 | 40 | 21.2 | 0.5 | 1029 | -2 | 588 | 1 |