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Authors: 超级管理员 | Edit: tianfuyou
Annex A. Agroclimatic indicators and BIOMSS
Table A.1 April 2022 – July 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 | 524 | -14 | 22.3 | 0.0 | 1173 | 2 | 951 | -5 |
C02 | East African highlands | 455 | -41 | 19.2 | 0.4 | 1235 | 4 | 771 | -19 |
C03 | Gulf of Guinea | 538 | -11 | 27.2 | 0.1 | 1181 | -1 | 1061 | -5 |
C04 | Horn of Africa | 137 | -57 | 21.0 | 0.5 | 1213 | 4 | 581 | -21 |
C05 | Madagascar (main) | 294 | 18 | 19.4 | -0.1 | 891 | -5 | 716 | 5 |
C06 | Southwest Madagascar | 82 | 21 | 21.1 | -0.1 | 960 | -2 | 415 | -3 |
C07 | North Africa-Mediterranean | 71 | -29 | 21.9 | 1.2 | 1551 | -1 | 594 | -3 |
C08 | Sahel | 346 | 13 | 30.0 | 0.0 | 1292 | -1 | 848 | 7 |
C09 | Southern Africa | 128 | 14 | 17.4 | 0.0 | 985 | -3 | 444 | 6 |
C10 | Western Cape (South Africa) | 165 | -27 | 12.1 | -1.1 | 698 | 2 | 439 | -18 |
C11 | British Columbia to Colorado | 343 | 5 | 9.3 | -0.7 | 1363 | -2 | 669 | -4 |
C12 | Northern Great Plains | 364 | -3 | 16.5 | -0.1 | 1321 | -2 | 885 | -3 |
C13 | Corn Belt | 434 | -2 | 15.9 | 0.1 | 1240 | 0 | 980 | 0 |
C14 | Cotton Belt to Mexican Nordeste | 385 | -15 | 24.3 | 1.2 | 1427 | 2 | 1018 | -6 |
C15 | Sub-boreal America | 429 | 19 | 9.2 | -1.1 | 1087 | -7 | 789 | 0 |
C16 | West Coast (North America) | 264 | 46 | 14.7 | -0.6 | 1434 | -4 | 632 | 3 |
C17 | Sierra Madre | 530 | -29 | 21.2 | 0.5 | 1499 | 2 | 884 | -11 |
C18 | SW U.S. and N. Mexican highlands | 162 | -14 | 20.4 | 0.4 | 1584 | 0 | 659 | -7 |
C19 | Northern South and Central America | 1111 | 2 | 24.2 | -0.1 | 1247 | 1 | 1271 | 0 |
C20 | Caribbean | 607 | 5 | 25.7 | -0.1 | 1445 | 2 | 1294 | 5 |
C21 | Central-northern Andes | 406 | -30 | 14.0 | 0.2 | 1082 | 3 | 510 | -15 |
C22 | Nordeste (Brazil) | 195 | -13 | 24.4 | 0.6 | 1085 | 3 | 686 | -4 |
C23 | Central eastern Brazil | 107 | -63 | 22.4 | 1.3 | 1054 | 9 | 478 | -34 |
C24 | Amazon | 489 | -24 | 24.3 | 0.4 | 1106 | 4 | 943 | -12 |
C25 | Central-north Argentina | 121 | -34 | 15.0 | -0.5 | 732 | 1 | 404 | -15 |
C26 | Pampas | 354 | -12 | 14.3 | -0.2 | 648 | 1 | 620 | -9 |
C27 | Western Patagonia | 821 | 10 | 6.5 | -0.8 | 470 | 0 | 540 | -5 |
C28 | Semi-arid Southern Cone | 94 | -17 | 9.3 | -0.8 | 719 | 1 | 292 | -6 |
C29 | Caucasus | 217 | -30 | 16.3 | 0.0 | 1485 | 1 | 649 | -13 |
C30 | Pamir area | 250 | -30 | 18.5 | 1.4 | 1586 | 2 | 669 | -9 |
C31 | Western Asia | 134 | 26 | 23.2 | 0.5 | 1547 | 0 | 654 | 2 |
C32 | Gansu-Xinjiang (China) | 271 | 5 | 16.6 | 0.4 | 1424 | -1 | 649 | -4 |
C33 | Hainan (China) | 988 | 9 | 25.6 | -1.0 | 1341 | 1 | 1482 | 7 |
C34 | Huanghuaihai (China) | 344 | 1 | 22.9 | 0.9 | 1361 | 3 | 873 | -3 |
C35 | Inner Mongolia (China) | 230 | 4 | 16.5 | 0.3 | 1382 | 0 | 715 | 0 |
C36 | Loess region (China) | 261 | -8 | 17.9 | 0.8 | 1443 | 6 | 766 | -3 |
C37 | Lower Yangtze (China) | 1059 | -6 | 22.1 | 0.2 | 1135 | 5 | 1300 | -3 |
C38 | Northeast China | 447 | 35 | 15.2 | -0.3 | 1252 | -1 | 923 | 10 |
C39 | Qinghai-Tibet (China) | 974 | -14 | 11.5 | 1.2 | 1211 | 3 | 717 | -2 |
C40 | Southern China | 1322 | 0 | 22.5 | -0.1 | 1158 | 3 | 1393 | -2 |
C41 | Southwest China | 817 | -9 | 18.6 | 0.2 | 1106 | 4 | 1153 | -1 |
C42 | Taiwan (China) | 1116 | 23 | 24.3 | -1.2 | 1197 | -6 | 1244 | 3 |
C43 | East Asia | 577 | 9 | 14.9 | 0.5 | 1212 | 1 | 971 | 4 |
C44 | Southern Himalayas | 884 | -16 | 27.2 | 0.8 | 1302 | 5 | 1072 | -3 |
C45 | Southern Asia | 681 | -15 | 29.8 | 0.3 | 1279 | 4 | 1006 | -3 |
C46 | Southern Japan and the southern fringe of the Korea peninsula | 871 | 3 | 19.0 | 1.2 | 1210 | 2 | 1217 | 3 |
C47 | Southern Mongolia | 152 | -24 | 7.9 | -0.1 | 1488 | 0 | 534 | -5 |
C48 | Punjab to Gujarat | 569 | 46 | 32.5 | 0.2 | 1434 | 0 | 947 | 17 |
C49 | Maritime Southeast Asia | 1206 | -2 | 24.6 | 0.2 | 1156 | 4 | 1439 | 3 |
C50 | Mainland Southeast Asia | 1112 | -4 | 26.4 | -0.3 | 1269 | 5 | 1454 | 3 |
C51 | Eastern Siberia | 353 | 10 | 10.0 | 0.0 | 1125 | -1 | 783 | 5 |
C52 | Eastern Central Asia | 298 | 9 | 11.1 | 0.3 | 1309 | 1 | 746 | 6 |
C53 | Northern Australia | 504 | 34 | 24.0 | 0.5 | 1078 | 1 | 924 | 12 |
C54 | Queensland to Victoria | 277 | 39 | 12.6 | 0.0 | 592 | -8 | 575 | 16 |
C55 | Nullarbor to Darling | 244 | 4 | 13.8 | -0.3 | 596 | -5 | 585 | 6 |
C56 | New Zealand | 444 | 21 | 9.4 | 0.5 | 440 | 0 | 676 | 7 |
C57 | Boreal Eurasia | 334 | -1 | 9.7 | -0.1 | 1088 | 1 | 709 | -1 |
C58 | Ukraine to Ural mountains | 320 | 4 | 13.2 | -0.9 | 1134 | -2 | 821 | 1 |
C59 | Mediterranean Europe and Turkey | 130 | -40 | 18.0 | 0.9 | 1510 | 3 | 619 | -13 |
C60 | W. Europe (non Mediterranean) | 246 | -32 | 15.2 | 0.8 | 1276 | 4 | 717 | -15 |
C61 | Boreal America | 317 | -9 | 6.5 | 0.3 | 1043 | 4 | 601 | -1 |
C62 | Ural to Altai mountains | 387 | 37 | 13.7 | 0.3 | 1212 | 0 | 842 | 15 |
C63 | Australian desert | 134 | -7 | 14.9 | -0.4 | 668 | -2 | 451 | -3 |
C64 | Sahara to Afghan deserts | 46 | 42 | 28.4 | 0.5 | 1618 | -1 | 576 | -2 |
C65 | Sub-arctic America | 131 | 4 | -3.4 | 0.3 | 1196 | -2 | 278 | 3 |
Table A.2 April 2022 – July 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 | 240 | -8 | 12.8 | -0.5 | 632 | 0 | 460 | -10 |
AUS | Australia | 276 | 39 | 13.7 | 0.0 | 631 | -7 | 582 | 15 |
BGD | Bangladesh | 1297 | -17 | 28.9 | 0.2 | 1316 | 5 | 1449 | -1 |
BRA | Brazil | 244 | -39 | 22.6 | 0.9 | 1048 | 6 | 641 | -22 |
KHM | Cambodia | 1161 | 9 | 26.3 | -0.6 | 1244 | 6 | 1601 | 5 |
CAN | Canada | 422 | 9 | 9.9 | -0.7 | 1141 | -3 | 771 | 1 |
CHN | China | 797 | -4 | 19.6 | 0.2 | 1207 | 3 | 1000 | -1 |
EGY | Egypt | 2 | -75 | 24.2 | 0.6 | 1585 | -1 | 374 | -21 |
ETH | Ethiopia | 521 | -34 | 19.9 | 0.4 | 1275 | 4 | 824 | -16 |
FRA | France | 249 | -37 | 16.3 | 1.8 | 1372 | 10 | 753 | -14 |
DEU | Germany | 253 | -28 | 14.3 | 0.5 | 1243 | 4 | 716 | -14 |
IND | India | 702 | -14 | 30.1 | 0.5 | 1315 | 4 | 985 | 1 |
IDN | Indonesia | 1146 | -2 | 24.5 | 0.2 | 1125 | 4 | 1399 | 4 |
IRN | Iran | 70 | -27 | 21.9 | 0.5 | 1644 | 1 | 579 | -6 |
KAZ | Kazakhstan | 333 | 38 | 15.7 | 0.3 | 1306 | -1 | 794 | 14 |
MEX | Mexico | 513 | -18 | 23.9 | 0.5 | 1503 | 2 | 904 | -8 |
MMR | Myanmar | 1079 | -22 | 25.7 | 0.5 | 1211 | 3 | 1267 | -6 |
NGA | Nigeria | 509 | -14 | 27.9 | 0.2 | 1207 | 0 | 978 | -5 |
PAK | Pakistan | 314 | 18 | 27.1 | 1.5 | 1553 | 0 | 792 | 11 |
PHL | Philippines | 1601 | 18 | 25.7 | -0.2 | 1297 | 0 | 1560 | 5 |
POL | Poland | 246 | -26 | 14.2 | -0.3 | 1179 | 2 | 733 | -14 |
ROU | Romania | 175 | -52 | 16.8 | 0.6 | 1361 | 3 | 668 | -24 |
RUS | Russia | 353 | 14 | 12.8 | -0.5 | 1152 | -2 | 835 | 7 |
SYR | Syria | 10 | -86 | 24.9 | 1.0 | 1650 | 2 | 559 | -13 |
ZAF | South Africa | 117 | 36 | 12.3 | -0.3 | 859 | -3 | 380 | 12 |
THA | Thailand | 1079 | 14 | 26.2 | -0.5 | 1255 | 5 | 1490 | 7 |
TUR | Turkey | 151 | -36 | 16.4 | 0.1 | 1518 | 2 | 618 | -14 |
GBR | United Kingdom | 279 | -27 | 12.1 | 0.8 | 994 | 1 | 695 | -12 |
UKR | Ukraine | 200 | -35 | 15.5 | -0.6 | 1238 | 0 | 673 | -19 |
USA | United States | 366 | -7 | 19.1 | 0.5 | 1370 | 0 | 878 | -3 |
UZB | Uzbekistan | 135 | -3 | 23.2 | 0.8 | 1559 | 0 | 667 | -2 |
VNM | Vietnam | 1128 | 0 | 24.5 | -0.4 | 1263 | 5 | 1472 | 3 |
AFG | Afghanistan | 88 | -52 | 20.7 | 1.3 | 1642 | 2 | 585 | -8 |
AGO | Angola | 171 | -10 | 19.4 | -0.3 | 1207 | 0 | 501 | -4 |
BLR | Belarus | 338 | 6 | 13.2 | -1.0 | 1104 | -1 | 833 | -1 |
HUN | Hungary | 116 | -55 | 18.3 | 0.9 | 1361 | 3 | 592 | -27 |
ITA | Italy | 300 | -21 | 18.5 | 1.6 | 1450 | 3 | 784 | -4 |
KEN | Kenya | 272 | -57 | 20.0 | 0.6 | 1156 | 3 | 710 | -22 |
LKA | Sri_Lanka | 1072 | 15 | 26.6 | -0.2 | 1244 | -3 | 1244 | 4 |
MAR | Morocco | 74 | -22 | 21.0 | 0.9 | 1557 | -2 | 586 | -1 |
MNG | Mongolia | 257 | -5 | 10.7 | 0.2 | 1394 | 2 | 684 | 0 |
MOZ | Mozambique | 173 | 32 | 19.9 | -0.1 | 933 | -4 | 583 | 11 |
ZMB | Zambia | 87 | 24 | 18.1 | 0.0 | 1128 | -1 | 395 | 3 |
KGZ | Kyrgyzstan | 564 | 14 | 10.6 | -0.3 | 1495 | 2 | 709 | 3 |
Table A.3 Argentina, April 2022 – July 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 | 138 | -36 | 11.0 | -0.5 | 604 | 5 | 371 | -24 |
Chaco | 441 | 41 | 15.6 | -0.9 | 562 | -10 | 748 | 12 |
Cordoba | 60 | -50 | 12.6 | -0.3 | 716 | 5 | 269 | -24 |
Corrientes | 640 | 37 | 14.9 | -0.7 | 543 | -10 | 923 | 14 |
Entre Rios | 322 | -5 | 13.0 | -0.8 | 604 | 1 | 587 | -7 |
La Pampa | 83 | -38 | 11.0 | -0.5 | 640 | 7 | 297 | -18 |
Misiones | 542 | -11 | 16.3 | -0.1 | 669 | 1 | 927 | -1 |
Santiago Del Estero | 140 | -19 | 14.6 | -0.9 | 664 | -3 | 422 | -8 |
San Luis | 44 | -49 | 11.0 | -0.5 | 731 | 5 | 223 | -24 |
Salta | 145 | -28 | 13.7 | -0.2 | 783 | -2 | 452 | -10 |
Santa Fe | 211 | -15 | 13.8 | -0.8 | 607 | -3 | 480 | -12 |
Tucuman | 93 | -21 | 11.9 | -0.3 | 824 | -1 | 361 | -6 |
Table A.4 Australia, April 2022 – July 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 | 272 | 52 | 12.0 | 0.0 | 613 | -9 | 568 | 25 |
South Australia | 179 | -15 | 13.3 | -0.3 | 537 | -3 | 477 | -11 |
Victoria | 258 | -3 | 10.8 | 0.0 | 453 | -5 | 559 | -1 |
W. Australia | 226 | 4 | 15.0 | -0.2 | 654 | -4 | 579 | 6 |
Table A.5 Brazil, April 2022 – July 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 | 312 | -19 | 25.8 | 0.5 | 1147 | -1 | 938 | -4 |
Goias | 1 | -100 | 23.7 | 2.2 | 1171 | 9 | 230 | -63 |
Mato Grosso Do Sul | 49 | -82 | 22.1 | 1.5 | 981 | 14 | 416 | -41 |
Mato Grosso | 35 | -85 | 24.4 | 1.0 | 1168 | 8 | 426 | -40 |
Minas Gerais | 36 | -83 | 20.4 | 1.3 | 1052 | 13 | 356 | -41 |
Parana | 199 | -61 | 17.4 | 0.9 | 830 | 11 | 586 | -33 |
Rio Grande Do Sul | 695 | 21 | 14.5 | -0.3 | 604 | -6 | 970 | 10 |
Santa Catarina | 436 | -26 | 14.5 | 0.2 | 701 | 2 | 809 | -10 |
Sao Paulo | 52 | -83 | 20.2 | 1.6 | 955 | 13 | 370 | -48 |
Table A.6 Canada, April 2022 – July 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 | 367 | 6 | 9.8 | -1.0 | 1215 | -4 | 781 | 0 |
Manitoba | 586 | 59 | 10.4 | -1.6 | 1083 | -10 | 884 | 5 |
Saskatchewan | 370 | 11 | 10.7 | -1.3 | 1177 | -5 | 819 | 2 |
Table A.7 India, April 2022 – July 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 | 370 | -24 | 30.9 | 0.3 | 1237 | 2 | 851 | -7 |
Assam | 2160 | -12 | 24.7 | -0.1 | 1076 | 1 | 1474 | -2 |
Bihar | 453 | -46 | 32.8 | 1.2 | 1409 | 7 | 966 | -10 |
Chhattisgarh | 508 | -26 | 30.7 | 0.4 | 1294 | 5 | 915 | -7 |
Daman and Diu | 996 | -6 | 29.4 | 0.1 | 1452 | 1 | 1080 | -2 |
Delhi | 363 | 33 | 33.9 | 0.6 | 1478 | 2 | 967 | 16 |
Gujarat | 628 | -5 | 30.9 | -0.2 | 1403 | 1 | 980 | 4 |
Goa | 1471 | -30 | 27.0 | 0.4 | 1260 | 2 | 1268 | 2 |
Himachal Pradesh | 231 | -62 | 23.5 | 2.5 | 1515 | 4 | 671 | -23 |
Haryana | 359 | 46 | 34.0 | 0.9 | 1485 | 3 | 914 | 15 |
Jharkhand | 435 | -37 | 31.3 | 0.8 | 1340 | 6 | 939 | -7 |
Kerala | 1320 | -20 | 25.2 | -0.3 | 1233 | 4 | 1392 | -5 |
Karnataka | 570 | -18 | 27.2 | 0.3 | 1176 | 4 | 940 | -2 |
Meghalaya | 2249 | 6 | 24.3 | -0.5 | 1082 | -2 | 1459 | -2 |
Maharashtra | 790 | -3 | 29.9 | 0.4 | 1275 | 2 | 1007 | 2 |
Manipur | 1455 | -19 | 22.2 | 0.2 | 1156 | 4 | 1411 | 0 |
Madhya Pradesh | 663 | 5 | 31.7 | 0.4 | 1367 | 6 | 1024 | 10 |
Mizoram | 1514 | -6 | 24.0 | -0.4 | 1243 | 2 | 1521 | 1 |
Nagaland | 2113 | 4 | 20.4 | -1.2 | 990 | -9 | 1370 | -1 |
Orissa | 576 | -22 | 30.3 | 0.4 | 1296 | 6 | 972 | -8 |
Puducherry | 633 | -41 | 29.5 | -0.2 | 1325 | 3 | 1059 | -6 |
Punjab | 378 | 27 | 34.0 | 1.5 | 1495 | 3 | 857 | 2 |
Rajasthan | 681 | 111 | 32.9 | -0.2 | 1406 | 1 | 990 | 31 |
Sikkim | 646 | -1 | 21.3 | 4.1 | 1435 | 7 | 896 | 8 |
Tamil Nadu | 282 | -41 | 29.1 | 0.7 | 1223 | 1 | 808 | -15 |
Tripura | 1633 | -6 | 27.2 | -0.2 | 1248 | 2 | 1622 | 2 |
Uttarakhand | 103 | -82 | 26.6 | 3.3 | 1566 | 10 | 632 | -25 |
Uttar Pradesh | 378 | -29 | 33.9 | 1.1 | 1437 | 5 | 907 | -1 |
West Bengal | 855 | -26 | 30.7 | 0.7 | 1366 | 7 | 1174 | -5 |
Table A.8 Kazakhstan, April 2022 – July 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 | 262 | 27 | 15.5 | 0.7 | 1283 | 2 | 762 | 12 |
Karagandinskaya | 190 | -1 | 15.6 | 1.3 | 1383 | 3 | 690 | 4 |
Kustanayskaya | 316 | 46 | 14.8 | -0.3 | 1177 | -6 | 830 | 19 |
Pavlodarskaya | 308 | 43 | 15.8 | 0.8 | 1297 | 3 | 831 | 19 |
Severo kazachstanskaya | 321 | 27 | 14.4 | 0.7 | 1170 | 0 | 802 | 10 |
Vostochno kazachstanskaya | 374 | 31 | 14.5 | 0.8 | 1426 | 3 | 836 | 14 |
Zapadno kazachstanskaya | 259 | 36 | 16.9 | -1.1 | 1229 | -8 | 806 | 14 |
Table A.9 Russia, April 2022 – July 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. | 429 | 35 | 11.8 | -1.0 | 1060 | -9 | 893 | 10 |
Chelyabinskaya Oblast | 376 | 36 | 12.3 | -0.7 | 1083 | -7 | 863 | 14 |
Gorodovikovsk | 174 | -40 | 18.4 | -0.2 | 1283 | -4 | 689 | -22 |
Krasnodarskiy Kray | 305 | -17 | 14.4 | -0.2 | 1267 | 1 | 799 | -6 |
Kurganskaya Oblast | 399 | 54 | 12.8 | -0.2 | 1078 | -4 | 889 | 22 |
Kirovskaya Oblast | 410 | 31 | 10.8 | -1.0 | 962 | -8 | 867 | 11 |
Kurskaya Oblast | 342 | 16 | 13.7 | -1.0 | 1149 | -3 | 888 | 8 |
Lipetskaya Oblast | 341 | 19 | 13.6 | -1.1 | 1155 | -2 | 899 | 12 |
Mordoviya Rep. | 353 | 13 | 12.4 | -1.3 | 1052 | -8 | 874 | 6 |
Novosibirskaya Oblast | 351 | 22 | 13.1 | 0.6 | 1142 | 3 | 839 | 10 |
Nizhegorodskaya O. | 360 | 19 | 11.9 | -1.3 | 1021 | -8 | 883 | 10 |
Orenburgskaya Oblast | 352 | 41 | 14.1 | -1.0 | 1166 | -8 | 884 | 19 |
Omskaya Oblast | 412 | 48 | 13.4 | 0.8 | 1081 | -1 | 879 | 17 |
Permskaya Oblast | 385 | 19 | 10.9 | -0.7 | 948 | -9 | 856 | 8 |
Penzenskaya Oblast | 359 | 19 | 13.0 | -1.1 | 1130 | -3 | 901 | 11 |
Rostovskaya Oblast | 177 | -36 | 17.6 | -0.2 | 1300 | -1 | 691 | -18 |
Ryazanskaya Oblast | 367 | 20 | 12.9 | -1.3 | 1087 | -5 | 911 | 11 |
Stavropolskiy Kray | 300 | -30 | 17.0 | -0.5 | 1294 | -3 | 801 | -17 |
Sverdlovskaya Oblast | 351 | 16 | 11.5 | -0.3 | 1012 | -5 | 844 | 11 |
Samarskaya Oblast | 453 | 55 | 13.5 | -1.2 | 1124 | -7 | 987 | 22 |
Saratovskaya Oblast | 337 | 30 | 14.8 | -1.0 | 1220 | -3 | 893 | 15 |
Tambovskaya Oblast | 333 | 16 | 13.7 | -1.1 | 1185 | -1 | 883 | 10 |
Tyumenskaya Oblast | 371 | 37 | 12.5 | 0.3 | 1032 | -3 | 870 | 19 |
Tatarstan Rep. | 468 | 53 | 12.0 | -1.2 | 1030 | -9 | 927 | 15 |
Ulyanovskaya Oblast | 418 | 38 | 12.9 | -1.1 | 1074 | -8 | 929 | 14 |
Udmurtiya Rep. | 407 | 35 | 11.2 | -1.0 | 961 | -10 | 877 | 12 |
Volgogradskaya O. | 189 | -19 | 16.6 | -0.6 | 1275 | -2 | 694 | -8 |
Voronezhskaya Oblast | 279 | -4 | 14.8 | -0.8 | 1247 | 1 | 823 | 0 |
Table A.10 United States, April 2022 – July 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 | 452 | -1 | 23.5 | 1.1 | 1377 | 0 | 1038 | -7 |
California | 97 | 1 | 17.3 | 0.0 | 1610 | -1 | 542 | -3 |
Idaho | 276 | 15 | 10.9 | -1.2 | 1419 | -4 | 653 | -3 |
Indiana | 455 | -3 | 18.6 | 0.2 | 1290 | -2 | 1117 | 2 |
Illinois | 482 | 2 | 18.9 | 0.0 | 1270 | -4 | 1134 | 3 |
Iowa | 441 | 1 | 17.3 | -0.2 | 1254 | -3 | 1042 | 1 |
Kansas | 327 | -9 | 22.2 | 1.0 | 1396 | -1 | 918 | -7 |
Michigan | 367 | -7 | 14.0 | 0.2 | 1215 | -2 | 909 | -2 |
Minnesota | 414 | 1 | 14.0 | -0.6 | 1184 | -4 | 937 | 0 |
Missouri | 459 | 7 | 20.7 | 0.4 | 1329 | -2 | 1089 | 2 |
Montana | 294 | -12 | 11.4 | -1.1 | 1368 | -1 | 753 | -7 |
Nebraska | 243 | -32 | 19.4 | 1.1 | 1420 | 2 | 830 | -13 |
North Dakota | 412 | 13 | 13.3 | -1.2 | 1258 | -2 | 919 | 4 |
Ohio | 406 | -5 | 17.8 | 0.3 | 1275 | -1 | 1051 | 0 |
Oklahoma | 391 | 2 | 24.6 | 1.6 | 1398 | -1 | 982 | -3 |
Oregon | 352 | 55 | 11.7 | -1.2 | 1309 | -6 | 717 | 13 |
South Dakota | 287 | -22 | 16.7 | 0.2 | 1375 | 2 | 835 | -11 |
Texas | 220 | -38 | 27.0 | 2.1 | 1466 | 2 | 831 | -14 |
Washington | 422 | 68 | 11.6 | -1.6 | 1234 | -8 | 766 | 17 |
Wisconsin | 398 | -6 | 14.4 | -0.1 | 1199 | -3 | 950 | -1 |
Table A.11 China, April 2022 – July 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 | 636 | -18 | 22.9 | 0.9 | 1261 | 9 | 1145 | -4 |
Chongqing | 718 | -19 | 20.4 | 0.4 | 1148 | 9 | 1220 | -2 |
Fujian | 1287 | -2 | 21.5 | 0.1 | 1079 | 2 | 1317 | -6 |
Gansu | 328 | -8 | 14.4 | 0.5 | 1378 | 5 | 774 | -1 |
Guangdong | 1635 | 6 | 24.1 | -0.1 | 1158 | 2 | 1471 | -4 |
Guangxi | 1435 | 2 | 22.8 | -0.3 | 1122 | 4 | 1446 | -2 |
Guizhou | 838 | -23 | 18.7 | -0.2 | 1002 | 5 | 1212 | -5 |
Hebei | 233 | -4 | 19.8 | 0.4 | 1399 | 1 | 777 | 0 |
Heilongjiang | 351 | 10 | 14.8 | -0.3 | 1260 | 1 | 891 | 7 |
Henan | 352 | -11 | 23.3 | 1.1 | 1363 | 7 | 907 | -6 |
Hubei | 652 | -19 | 21.5 | 0.7 | 1243 | 10 | 1195 | -3 |
Hunan | 1126 | -2 | 21.6 | 0.1 | 1080 | 3 | 1370 | 0 |
Jiangsu | 469 | -27 | 23.1 | 1.4 | 1303 | 9 | 1040 | -7 |
Jiangxi | 1203 | -8 | 22.0 | -0.2 | 1061 | 0 | 1380 | -4 |
Jilin | 535 | 50 | 15.5 | -0.3 | 1261 | -2 | 981 | 11 |
Liaoning | 554 | 66 | 16.9 | -0.3 | 1238 | -5 | 961 | 12 |
Inner Mongolia | 243 | 9 | 15.8 | 0.2 | 1357 | 0 | 723 | 2 |
Ningxia | 142 | -19 | 17.3 | 0.5 | 1500 | 6 | 631 | -6 |
Shaanxi | 427 | -6 | 18.7 | 0.8 | 1391 | 9 | 887 | 1 |
Shandong | 400 | 23 | 22.4 | 0.7 | 1351 | 1 | 861 | -5 |
Shanxi | 203 | -16 | 18.2 | 0.8 | 1448 | 5 | 712 | -5 |
Sichuan | 895 | 5 | 17.5 | 0.4 | 1131 | 1 | 1085 | 1 |
Yunnan | 953 | -4 | 17.9 | -0.2 | 1073 | 0 | 1171 | 0 |
Zhejiang | 849 | -22 | 21.1 | 0.3 | 1131 | 7 | 1289 | -3 |