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Authors: 超级管理员 | Edit: zhaoxf
Table A.1 Apr 2020 - Jul 2020 agroclimatic indicators and biomass by global Monitoring and Reporting Unit (MRU)
65 Global MRUs | RAIN Current(mm) | RAIN 15YA dep. (%) | TEMP Current (u00b0C) | TEMP 15YA dep. (u00b0C) | RADPAR Current(MJ/m2) | RADPAR 15YA dep. (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA dep. (%) | |
C01 | Equatorial central Africa | 590 | -4 | 22.4 | -0.1 | 1131 | -1 | 563 | -4 |
C02 | East African highlands | 923 | 23 | 18.5 | -0.5 | 1131 | -5 | 538 | -2 |
C03 | Gulf of Guinea | 506 | -18 | 27.5 | 0.4 | 1196 | 1 | 776 | 3 |
C04 | Horn of Africa | 455 | 54 | 20.3 | -0.3 | 1124 | -3 | 570 | -1 |
C05 | Madagascar (main) | 260 | 7 | 19.5 | -0.1 | 878 | -7 | 414 | -10 |
C06 | Southwest Madagascar | 69 | 0 | 21.1 | -0.1 | 962 | -1 | 421 | -1 |
C07 | North Africa-Mediterranean | 103 | 10 | 21.1 | 0.3 | 1534 | -2 | 619 | -2 |
C08 | Sahel | 282 | -5 | 30.2 | 0.1 | 1288 | -2 | 685 | 5 |
C09 | Southern Africa | 85 | -26 | 17.3 | -0.3 | 1002 | 0 | 324 | -8 |
C10 | Western Cape (South Africa) | 197 | -12 | 13.4 | 0.1 | 719 | 6 | 255 | 4 |
C11 | British Columbia to Colorado | 345 | 7 | 9.5 | -0.5 | 1342 | -3 | 409 | -6 |
C12 | Northern Great Plains | 405 | 13 | 16.1 | -0.9 | 1310 | -3 | 593 | -4 |
C13 | Corn Belt | 416 | -4 | 15.2 | -0.7 | 1230 | -1 | 533 | -1 |
C14 | Cotton Belt to Mexican Nordeste | 477 | 12 | 22.7 | -0.5 | 1368 | -2 | 807 | -1 |
C15 | Sub-boreal America | 436 | 23 | 9.1 | -1.4 | 1072 | -8 | 343 | -11 |
C16 | West Coast (North America) | 192 | -1 | 15.4 | 0.2 | 1446 | -3 | 430 | -10 |
C17 | Sierra Madre | 715 | 1 | 21.1 | 0.4 | 1452 | -1 | 662 | 5 |
C18 | SW U.S. and N. Mexican highlands | 188 | 5 | 20.3 | 0.4 | 1567 | -1 | 654 | 5 |
C19 | Northern South and Central America | 962 | -11 | 24.9 | 0.5 | 1249 | 1 | 749 | 0 |
C20 | Caribbean | 506 | -15 | 26.6 | 0.8 | 1391 | -1 | 934 | 0 |
C21 | Central-northern Andes | 509 | -11 | 14.1 | 0.2 | 1045 | -1 | 326 | -1 |
C22 | Nordeste (Brazil) | 279 | 23 | 23.6 | -0.1 | 1024 | -2 | 628 | 0 |
C23 | Central eastern Brazil | 259 | -11 | 21.2 | 0.1 | 974 | 1 | 472 | 0 |
C24 | Amazon | 627 | -3 | 24.2 | 0.4 | 1061 | 0 | 596 | 0 |
C25 | Central-north Argentina | 129 | -29 | 15.7 | 0.1 | 777 | 8 | 314 | 11 |
C26 | Pampas | 370 | -9 | 14.6 | -0.1 | 677 | 7 | 258 | 7 |
C27 | Western Patagonia | 889 | 12 | 7.5 | 0.2 | 450 | -4 | 105 | -5 |
C28 | Semi-arid Southern Cone | 143 | 24 | 10.1 | 0 | 698 | -2 | 173 | 3 |
C29 | Caucasus | 308 | 2 | 15.9 | -0.3 | 1435 | -2 | 541 | 3 |
C30 | Pamir area | 432 | 32 | 16 | -1.1 | 1494 | -4 | 561 | 7 |
C31 | Western Asia | 133 | 36 | 22.4 | -0.3 | 1514 | -3 | 524 | 5 |
C32 | Gansu-Xinjiang (China) | 288 | 20 | 16.3 | 0 | 1402 | -3 | 645 | 1 |
C33 | Hainan (China) | 486 | -47 | 27.3 | 0.8 | 1320 | 1 | 871 | -1 |
C34 | Huanghuaihai (China) | 362 | 10 | 21.7 | -0.5 | 1267 | -5 | 670 | -9 |
C35 | Inner Mongolia (China) | 223 | 5 | 16.1 | -0.2 | 1344 | -3 | 572 | -4 |
C36 | Loess region (China) | 282 | 2 | 16.7 | -0.6 | 1332 | -2 | 556 | -9 |
C37 | Lower Yangtze (China) | 1195 | 8 | 22 | 0.1 | 1089 | 0 | 636 | 0 |
C38 | Northeast China | 336 | 1 | 15.1 | -0.3 | 1246 | -1 | 525 | -2 |
C39 | Qinghai-Tibet (China) | 1251 | 17 | 9.3 | -1.1 | 1104 | -7 | 296 | -13 |
C40 | Southern China | 1129 | -16 | 22.8 | 0.2 | 1174 | 5 | 704 | 6 |
C41 | Southwest China | 997 | 16 | 18.3 | -0.2 | 993 | -8 | 488 | -9 |
C42 | Taiwan (China) | 584 | -43 | 26.2 | 1 | 1353 | 8 | 823 | 5 |
C43 | East Asia | 576 | 9 | 13.9 | -0.4 | 1137 | -5 | 433 | -8 |
C44 | Southern Himalayas | 1083 | 8 | 25.7 | -0.7 | 1226 | -2 | 708 | 6 |
C45 | Southern Asia | 905 | 17 | 29.2 | -0.3 | 1246 | 1 | 727 | 7 |
C46 | Southern Japan and Korea | 1100 | 33 | 17.6 | -0.1 | 1103 | -7 | 507 | -10 |
C47 | Southern Mongolia | 315 | 59 | 8.9 | 1 | 1460 | -1 | 419 | 0 |
C48 | Punjab to Gujarat | 416 | 14 | 32 | -0.4 | 1410 | -2 | 788 | 28 |
C49 | Maritime Southeast Asia | 1276 | 5 | 24.6 | 0.3 | 1109 | 1 | 734 | 2 |
C50 | Mainland Southeast Asia | 908 | -22 | 27.3 | 0.6 | 1255 | 5 | 810 | 4 |
C51 | Eastern Siberia | 320 | -1 | 10 | 0.1 | 1038 | -8 | 339 | -8 |
C52 | Eastern Central Asia | 382 | 50 | 11.1 | 0.3 | 1249 | -4 | 415 | -4 |
C53 | Northern Australia | 332 | -13 | 23.9 | 0.5 | 1056 | 0 | 564 | -4 |
C54 | Queensland to Victoria | 192 | -1 | 12.3 | -0.4 | 626 | -3 | 212 | -4 |
C55 | Nullarbor to Darling | 188 | -17 | 14.5 | 0.4 | 616 | -2 | 235 | -1 |
C56 | New Zealand | 331 | -12 | 9.2 | 0.3 | 442 | 1 | 124 | 2 |
C57 | Boreal Eurasia | 371 | 11 | 9.5 | -0.3 | 1100 | 2 | 345 | 2 |
C58 | Ukraine to Ural mountains | 370 | 21 | 13.1 | -1 | 1119 | -3 | 444 | -7 |
C59 | Mediterranean Europe and Turkey | 223 | 7 | 17.1 | 0 | 1435 | -2 | 581 | -2 |
C60 | W. Europe (non Mediterranean) | 337 | -6 | 14.2 | -0.3 | 1228 | 1 | 474 | -4 |
C61 | Boreal America | 345 | -1 | 6.4 | 0.2 | 957 | -5 | 241 | -3 |
C62 | Ural to Altai mountains | 347 | 26 | 14 | 0.6 | 1190 | -2 | 493 | 2 |
C63 | Australian desert | 100 | -30 | 15.1 | -0.2 | 692 | 1 | 249 | -3 |
C64 | Sahara to Afghan deserts | 51 | 78 | 27.9 | 0.1 | 1587 | -3 | 456 | 22 |
C65 | Sub-arctic America | 134 | 6 | -3 | 0.7 | 1192 | -3 | 173 | 4 |
Table A.2 Apr 2020 - Jul 2020 agroclimatic indicators and biomass by country
Country code | Country name | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (u00b0C) | TEMP 15YA Departure(u00b0C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA Departure (%) |
ARG | Argentina | 225 | -14 | 13.3 | -0.2 | 664 | 6 | 235 | 8 |
AUS | Australia | 184 | -6 | 13.5 | -0.2 | 661 | -2 | 228 | -3 |
BGD | Bangladesh | 1692 | 14 | 28.1 | -0.6 | 1248 | -1 | 818 | -2 |
BRA | Brazil | 388 | -4 | 21.8 | 0.1 | 988 | 1 | 505 | -1 |
KHM | Cambodia | 853 | -19 | 27.7 | 0.8 | 1202 | 4 | 819 | 5 |
CAN | Canada | 414 | 8 | 9.8 | -1.1 | 1124 | -5 | 356 | -7 |
CHN | China | 844 | 4 | 19.3 | -0.1 | 1152 | -2 | 576 | -4 |
EGY | Egypt | 6 | -24 | 23.2 | -0.3 | 1561 | -2 | 365 | 24 |
ETH | Ethiopia | 877 | 14 | 19.3 | -0.4 | 1170 | -5 | 570 | 0 |
FRA | France | 342 | -10 | 15.2 | 0.6 | 1285 | 4 | 523 | 5 |
DEU | Germany | 268 | -22 | 13.5 | -0.4 | 1214 | 2 | 442 | -4 |
IND | India | 896 | 15 | 29.1 | -0.5 | 1260 | -1 | 723 | 11 |
IDN | Indonesia | 1232 | 6 | 24.5 | 0.2 | 1071 | 0 | 699 | 1 |
IRN | Iran | 117 | 33 | 21 | -0.3 | 1571 | -4 | 474 | 10 |
KAZ | Kazakhstan | 321 | 41 | 15.8 | 0.3 | 1302 | -1 | 567 | 2 |
MEX | Mexico | 635 | 6 | 24 | 0.6 | 1462 | -1 | 744 | 5 |
MMR | Myanmar | 1149 | -18 | 25.5 | 0.4 | 1207 | 4 | 713 | 1 |
NGA | Nigeria | 468 | -24 | 28.3 | 0.5 | 1225 | 2 | 728 | 1 |
PAK | Pakistan | 270 | 8 | 24.6 | -1.2 | 1515 | -3 | 730 | 18 |
PHL | Philippines | 1125 | -16 | 26.3 | 0.5 | 1356 | 6 | 913 | 6 |
POL | Poland | 364 | 13 | 13.6 | -1 | 1164 | 0 | 436 | -7 |
ROU | Romania | 397 | 6 | 15.3 | -0.9 | 1296 | -1 | 536 | -9 |
RUS | Russia | 369 | 20 | 12.9 | -0.3 | 1127 | -4 | 440 | -4 |
ZAF | South Africa | 69 | -23 | 12.1 | -0.7 | 898 | 2 | 212 | -17 |
THA | Thailand | 873 | -7 | 27.4 | 0.7 | 1224 | 4 | 818 | 5 |
TUR | Turkey | 234 | 1 | 15.9 | -0.4 | 1472 | -1 | 521 | -5 |
GBR | United Kingdom | 319 | -18 | 11.5 | 0.1 | 991 | 2 | 321 | 0 |
UKR | Ukraine | 356 | 19 | 15 | -1.1 | 1224 | -1 | 524 | -7 |
USA | United States | 401 | 6 | 18.3 | -0.5 | 1341 | -2 | 622 | -2 |
UZB | Uzbekistan | 203 | 62 | 21.9 | -0.5 | 1502 | -4 | 598 | 5 |
VNM | Vietnam | 913 | -19 | 25.2 | 0.3 | 1248 | 6 | 799 | 5 |
AFG | Afghanistan | 230 | 39 | 18.6 | -0.8 | 1561 | -3 | 424 | 9 |
AGO | Angola | 174 | -7 | 19.7 | -0.1 | 1214 | 0 | 278 | -14 |
BLR | Belarus | 352 | 11 | 13.1 | -1 | 1082 | -3 | 415 | -7 |
HUN | Hungary | 308 | 17 | 16.2 | -1.2 | 1288 | -2 | 539 | -14 |
ITA | Italy | 336 | -10 | 16.7 | -0.2 | 1413 | 0 | 583 | -5 |
KEN | Kenya | 838 | 41 | 19.1 | -0.5 | 1071 | -4 | 550 | -4 |
LKA | Sri_Lanka | 969 | 9 | 27.1 | 0.3 | 1219 | -4 | 837 | 0 |
MAR | Morocco | 115 | 36 | 20.6 | 0.3 | 1543 | -3 | 623 | -2 |
MNG | Mongolia | 459 | 93 | 10.5 | 0.1 | 1313 | -5 | 409 | -7 |
MOZ | Mozambique | 99 | -24 | 19.9 | -0.1 | 940 | -3 | 493 | -1 |
ZMB | Zambia | 43 | -39 | 18.2 | 0 | 1117 | -2 | 323 | -9 |
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 April to July.
Table A.3 Argentina, Apr 2020 - Jul 2020 agroclimatic indicators and biomass (by province)
RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (u00b0C) | TEMP 15YA Departure(u00b0C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA Departure (%) | |
Buenos Aires | 226 | 8 | 11.1 | -0.5 | 561 | -2 | 177 | -2 |
Chaco | 184 | -43 | 16.9 | 0.2 | 710 | 16 | 321 | 22 |
Cordoba | 73 | -38 | 12.7 | -0.3 | 714 | 5 | 235 | 6 |
Corrientes | 368 | -24 | 15.8 | -0.1 | 680 | 15 | 286 | 15 |
Entre Rios | 282 | -18 | 13.7 | -0.2 | 629 | 7 | 236 | 10 |
La Pampa | 159 | 28 | 11 | -0.6 | 588 | -2 | 182 | 0 |
Misiones | 687 | 12 | 16.2 | -0.4 | 728 | 12 | 314 | 9 |
Santiago Del Estero | 118 | -32 | 15.4 | -0.2 | 746 | 10 | 298 | 15 |
San Luis | 66 | -20 | 11.3 | -0.3 | 700 | 0 | 212 | 6 |
Salta | 190 | -2 | 14.2 | 0.3 | 837 | 4 | 303 | 7 |
Santa Fe | 173 | -31 | 14.5 | -0.2 | 674 | 10 | 265 | 16 |
Tucuman | 95 | -17 | 12.6 | 0.4 | 835 | -1 | 264 | 2 |
Table A.4 Australia, Apr 2020 - Jul 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 15YA Departure (%) | |
New South Wales | 204 | 17 | 11.7 | -0.5 | 643 | -5 | 204 | -7 |
South Australia | 174 | -15 | 12.9 | -0.7 | 551 | 0 | 200 | -4 |
Victoria | 271 | 6 | 10.2 | -0.7 | 461 | -4 | 146 | -9 |
W. Australia | 175 | -17 | 15.6 | 0.5 | 668 | -2 | 237 | -3 |
Table A.5 Brazil, Apr 2020 - Jul 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 15YA Departure (%) | |
Ceara | 462 | 19 | 25 | -0.2 | 1159 | 1 | 754 | 0 |
Goias | 188 | -7 | 21.3 | -0.2 | 1059 | -1 | 420 | -8 |
Mato Grosso Do Sul | 192 | -29 | 21 | 0.2 | 918 | 8 | 474 | 11 |
Mato Grosso | 219 | -11 | 23.6 | 0.2 | 1084 | 1 | 465 | -3 |
Minas Gerais | 182 | -16 | 19 | -0.1 | 911 | -1 | 420 | -6 |
Parana | 425 | -17 | 16.6 | 0 | 826 | 11 | 344 | 5 |
Rio Grande Do Sul | 603 | 3 | 14.9 | -0.1 | 662 | 5 | 266 | 4 |
Santa Catarina | 505 | -15 | 14.5 | 0.1 | 741 | 9 | 287 | 8 |
Sao Paulo | 174 | -45 | 18.8 | 0.3 | 899 | 7 | 412 | 5 |
Table A.6 Canada, Apr 2020 - Jul 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 15YA Departure (%) | |
Alberta | 437 | 27 | 9.3 | -1.6 | 1165 | -8 | 368 | -14 |
Manitoba | 438 | 22 | 11.2 | -1 | 1142 | -5 | 422 | -5 |
Saskatchewan | 461 | 42 | 10.4 | -1.8 | 1147 | -7 | 397 | -13 |
Table A.7 India, Apr 2020 - Jul 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 15YA Departure (%) | |
Andhra Pradesh | 751 | 65 | 30.2 | -0.6 | 1233 | 2 | 730 | 6 |
Assam | 2635 | 16 | 24.4 | -0.6 | 999 | -9 | 629 | -11 |
Bihar | 1208 | 59 | 29.9 | -1.9 | 1231 | -8 | 721 | -6 |
Chhattisgarh | 680 | 1 | 29.9 | -0.6 | 1270 | 3 | 761 | 16 |
Daman and Diu | 1188 | 9 | 29.6 | 0.4 | 1413 | -2 | 474 | 0 |
Delhi | 214 | -18 | 32.8 | -0.5 | 1450 | 0 | 930 | 23 |
Gujarat | 850 | 36 | 31.2 | 0.1 | 1392 | 1 | 462 | 3 |
Goa | 1962 | -6 | 27 | 0.4 | 1185 | -5 | 563 | -13 |
Himachal Pradesh | 305 | -50 | 20 | -1.2 | 1492 | 3 | 628 | 3 |
Haryana | 132 | -46 | 32.6 | -0.5 | 1456 | 1 | 919 | 24 |
Jharkhand | 918 | 38 | 29.3 | -1.4 | 1244 | -2 | 739 | 6 |
Kerala | 1432 | -15 | 26 | 0.4 | 1179 | 1 | 788 | 2 |
Karnataka | 630 | -11 | 27.3 | 0.4 | 1140 | 1 | 710 | 5 |
Meghalaya | 1978 | -4 | 24.9 | 0.1 | 1083 | -3 | 673 | -5 |
Maharashtra | 1003 | 30 | 29.5 | -0.1 | 1275 | 3 | 658 | 10 |
Manipur | 1843 | 7 | 21.6 | -0.5 | 1058 | -6 | 603 | -8 |
Madhya Pradesh | 607 | -1 | 30.9 | -0.5 | 1312 | 2 | 698 | 26 |
Mizoram | 1353 | -13 | 24.1 | -0.5 | 1213 | -1 | 751 | -3 |
Nagaland | 2626 | 41 | 21 | -0.8 | 973 | -12 | 531 | -15 |
Orissa | 795 | 8 | 29.5 | -0.6 | 1231 | 2 | 754 | 6 |
Puducherry | 938 | -14 | 29.7 | -0.1 | 1310 | 3 | 838 | 5 |
Punjab | 201 | -30 | 31.5 | -1.1 | 1457 | 1 | 912 | 12 |
Rajasthan | 231 | -24 | 33.2 | 0.1 | 1371 | -2 | 835 | 44 |
Sikkim | 459 | -26 | 16.6 | -0.7 | 1317 | -2 | 520 | -1 |
Tamil Nadu | 478 | -2 | 28.5 | 0.1 | 1182 | -2 | 741 | -2 |
Tripura | 1532 | -11 | 26.9 | -0.5 | 1223 | 0 | 833 | 1 |
Uttarakhand | 260 | -55 | 22.5 | -1 | 1464 | 3 | 661 | 7 |
Uttar Pradesh | 611 | 24 | 31.5 | -1.4 | 1326 | -4 | 827 | 19 |
West Bengal | 1412 | 32 | 29.1 | -1.1 | 1255 | -2 | 770 | -3 |
Table A.8 Kazakhstan, Apr 2020 - Jul 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 15YA Departure (%) | |
Akmolinskaya | 337 | 73 | 15.4 | 0.6 | 1260 | 0 | 549 | 5 |
Karagandinskaya | 274 | 52 | 15.2 | 0.7 | 1319 | -1 | 555 | 4 |
Kustanayskaya | 345 | 64 | 15.1 | 0 | 1220 | -1 | 544 | 1 |
Pavlodarskaya | 290 | 39 | 16.3 | 1.3 | 1264 | 1 | 576 | 8 |
Severo kazachstanskaya | 320 | 26 | 14.6 | 1 | 1170 | 0 | 495 | 6 |
Vostochno kazachstanskaya | 314 | 15 | 14.1 | 0.2 | 1364 | -1 | 535 | -1 |
Zapadno kazachstanskaya | 248 | 44 | 17.2 | -0.6 | 1310 | -1 | 640 | 0 |
Table A.9 Russia, Apr 2020 - Jul 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 15YA Departure (%) | |
Bashkortostan Rep. | 366 | 10 | 12.3 | -0.4 | 1135 | -1 | 432 | -3 |
Chelyabinskaya Oblast | 333 | 16 | 12.8 | -0.2 | 1159 | 1 | 453 | 1 |
Gorodovikovsk | 339 | 23 | 17.8 | -0.8 | 1298 | -3 | 635 | -5 |
Krasnodarskiy Kray | 379 | 4 | 14.7 | 0.1 | 1222 | -2 | 491 | -3 |
Kurganskaya Oblast | 259 | -4 | 13.3 | 0.4 | 1098 | -1 | 441 | 2 |
Kirovskaya Oblast | 440 | 40 | 11 | -0.8 | 965 | -8 | 351 | -10 |
Kurskaya Oblast | 414 | 40 | 13.4 | -1.3 | 1129 | -4 | 448 | -10 |
Lipetskaya Oblast | 378 | 30 | 13.3 | -1.4 | 1113 | -5 | 440 | -11 |
Mordoviya Rep. | 452 | 47 | 12.4 | -1.3 | 1053 | -8 | 406 | -12 |
Novosibirskaya Oblast | 365 | 32 | 13.7 | 1.3 | 1069 | -4 | 434 | 3 |
Nizhegorodskaya O. | 405 | 32 | 11.8 | -1.3 | 1010 | -9 | 377 | -13 |
Orenburgskaya Oblast | 312 | 25 | 14.6 | -0.5 | 1241 | -1 | 541 | -1 |
Omskaya Oblast | 328 | 20 | 14 | 1.5 | 1056 | -3 | 441 | 6 |
Permskaya Oblast | 394 | 22 | 11.3 | -0.2 | 976 | -6 | 358 | -6 |
Penzenskaya Oblast | 440 | 51 | 12.9 | -1.2 | 1095 | -6 | 433 | -9 |
Rostovskaya Oblast | 269 | 0 | 17 | -0.8 | 1299 | -1 | 621 | -3 |
Ryazanskaya Oblast | 430 | 42 | 12.7 | -1.5 | 1024 | -10 | 399 | -14 |
Stavropolskiy Kray | 422 | 0 | 17.2 | -0.4 | 1327 | 0 | 637 | 0 |
Sverdlovskaya Oblast | 284 | -10 | 12 | 0.3 | 1043 | -1 | 397 | 3 |
Samarskaya Oblast | 326 | 10 | 13.8 | -0.8 | 1202 | 1 | 493 | -2 |
Saratovskaya Oblast | 340 | 38 | 14.8 | -1 | 1239 | -1 | 544 | -3 |
Tambovskaya Oblast | 384 | 34 | 13.5 | -1.3 | 1115 | -7 | 450 | -11 |
Tyumenskaya Oblast | 289 | 5 | 13.3 | 1.2 | 1035 | -2 | 419 | 5 |
Tatarstan Rep. | 376 | 22 | 12.3 | -0.8 | 1105 | -1 | 420 | -4 |
Ulyanovskaya Oblast | 398 | 31 | 12.9 | -1 | 1144 | -1 | 452 | -4 |
Udmurtiya Rep. | 419 | 38 | 11.6 | -0.6 | 1002 | -6 | 371 | -8 |
Volgogradskaya O. | 274 | 23 | 16.2 | -0.9 | 1257 | -3 | 585 | -3 |
Voronezhskaya Oblast | 358 | 23 | 14.5 | -1.1 | 1200 | -3 | 507 | -7 |
Table A.10 United States, Apr 2020 - Jul 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 15YA Departure (%) | |
Arkansas | 440 | 3 | 21.8 | -0.9 | 1361 | -2 | 776 | -3 |
California | 100 | -8 | 17.6 | 0.3 | 1604 | -1 | 415 | -14 |
Idaho | 280 | 14 | 11.4 | -0.8 | 1422 | -3 | 450 | -11 |
Indiana | 392 | -15 | 17.9 | -0.7 | 1276 | -3 | 653 | -3 |
Illinois | 492 | 12 | 18.2 | -1 | 1264 | -5 | 651 | -6 |
Iowa | 475 | 14 | 17.2 | -0.6 | 1258 | -4 | 631 | -3 |
Kansas | 359 | 6 | 20.8 | -0.7 | 1372 | -4 | 763 | -4 |
Michigan | 362 | -5 | 13.7 | -0.3 | 1239 | 0 | 524 | 4 |
Minnesota | 386 | -4 | 14.4 | -0.4 | 1251 | 2 | 549 | 3 |
Missouri | 455 | 15 | 19.6 | -1 | 1298 | -5 | 700 | -7 |
Montana | 352 | 7 | 11.8 | -0.9 | 1356 | -2 | 500 | -6 |
Nebraska | 415 | 21 | 18 | -0.5 | 1368 | -2 | 696 | -2 |
North Dakota | 370 | 4 | 14 | -0.8 | 1302 | 1 | 558 | 1 |
Ohio | 413 | -4 | 16.9 | -0.7 | 1257 | -3 | 621 | -2 |
Oklahoma | 335 | -4 | 22.8 | -0.5 | 1403 | -1 | 828 | 1 |
Oregon | 232 | -3 | 12.9 | 0 | 1348 | -2 | 464 | -6 |
South Dakota | 351 | -1 | 16.3 | -0.6 | 1350 | 0 | 647 | 0 |
Texas | 356 | 14 | 25.2 | 0 | 1426 | -1 | 877 | 2 |
Washington | 287 | 10 | 12.8 | -0.4 | 1269 | -5 | 442 | -10 |
Wisconsin | 435 | 7 | 14.2 | -0.5 | 1250 | 1 | 542 | 2 |
Table A.11 China, Apr 2020 - Jul 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 15YA Departure (%) | |
Anhui | 1137 | 57 | 21.8 | -0.3 | 1060 | -10 | 613 | -9 |
Chongqing | 1183 | 42 | 19.7 | -0.4 | 932 | -14 | 498 | -16 |
Fujian | 901 | -34 | 21.9 | 0.5 | 1172 | 13 | 696 | 15 |
Gansu | 348 | -1 | 13.7 | -0.3 | 1294 | -2 | 493 | -6 |
Guangdong | 1083 | -33 | 24.6 | 0.5 | 1250 | 13 | 805 | 13 |
Guangxi | 1252 | -12 | 23.4 | 0.2 | 1127 | 5 | 707 | 6 |
Guizhou | 1180 | 12 | 19 | 0 | 899 | -8 | 465 | -8 |
Hebei | 192 | -17 | 19.1 | -0.3 | 1362 | -2 | 631 | -6 |
Heilongjiang | 364 | 15 | 14.5 | -0.5 | 1228 | -1 | 509 | -3 |
Henan | 472 | 24 | 21.8 | -0.6 | 1200 | -7 | 650 | -10 |
Hubei | 1107 | 46 | 20.4 | -0.5 | 1015 | -12 | 553 | -14 |
Hunan | 1269 | 14 | 21.6 | 0.1 | 1037 | -2 | 602 | -2 |
Jiangsu | 850 | 38 | 21.5 | -0.4 | 1106 | -8 | 616 | -9 |
Jiangxi | 1344 | 5 | 22.6 | 0.4 | 1125 | 7 | 674 | 8 |
Jilin | 350 | -4 | 15.4 | -0.4 | 1257 | -2 | 550 | -2 |
Liaoning | 248 | -25 | 17.1 | -0.1 | 1285 | -2 | 594 | -3 |
Inner Mongolia | 238 | 11 | 15.5 | -0.1 | 1320 | -3 | 560 | -3 |
Ningxia | 182 | 5 | 16.6 | -0.3 | 1430 | 2 | 613 | -5 |
Shaanxi | 415 | -6 | 17.7 | -0.4 | 1231 | -5 | 570 | -10 |
Shandong | 326 | 3 | 21.1 | -0.8 | 1287 | -5 | 659 | -11 |
Shanxi | 224 | -4 | 17 | -0.6 | 1364 | -2 | 570 | -10 |
Sichuan | 970 | 19 | 16.9 | -0.4 | 1040 | -9 | 463 | -10 |
Yunnan | 1134 | 20 | 18 | -0.2 | 1036 | -4 | 488 | -4 |
Zhejiang | 1078 | 3 | 21 | 0.3 | 1039 | -2 | 573 | -2 |