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Annex A. Agroclimatic indicators and BIOMSSAnnex

Authors: 超级管理员 | Edit: zhuliang

Annex A. Agroclimatic indicators and BIOMSS

Table A.1 July 2022 – October 2022 agroclimatic indicators and biomass by global Monitoring and Reporting Unit (MRU)


105 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_zone1 (Cameron, Central African Republic, and South Sudan)

1006

-10

22

0

1138

-1

1398

-3

C02

Equatorial   central Africa_zone2 (North DRC, Equatorial Guinea, Uganda, Republic of   Congo)

948

-21

23

0

1122

0

1336

-7

C03

Equatorial   central Africa_zone3 (South DRC, Rwanda, Burundi, Gabon)

336

-31

24

0

1268

2

857

-12

C04

Equatorial   central Africa_zone4 (Angola, Zambia, and Malawi)

18

-67

21

0

1378

1

407

-13

C05

East   African highlands

601

-23

18

0

1108

-6

795

-12

C06

Gulf   of Guinea zone1 (Nigeria, Benin, Togo, Ghana, Cote d’Ivoire, Guinea, and   Guinea_Bissau)

681

-15

25

0

1090

-3

1213

-7

C07

Gulf   of Guinea zone2 (South Nigeria, Liberia, Sierra Leone, south Ghana, south   Cote d’Ivoire, and west Genua)

1096

-19

24

0

905

-8

1353

-8

C08

Horn   of Africa

104

-42

21

0

1262

1

534

-13

C09

Madagascar(main)

180

5

19

-1

1127

0

622

-1

C10

SW   Madagascar

26

-28

22

0

1231

1

430

-4

C11

North   Africa Mediterranean

48

-44

25

1

1314

-2

533

-8

C12

Sahel

680

15

26

-1

1163

-3

1146

9

C13

Southern   Africa_zone1 (West Angolan coast)

104

-32

22

0

1271

-2

555

-10

C14

Southern   Africa_zone10 (Middle part of South Africa)

34

-37

16

1

1162

-3

318

-8

C15

Southern   Africa_zone2 (southeastern Kenya, East Tanzania, and Mozambique)

49

-43

23

0

1206

3

488

-9

C16

Southern   Africa_zone3 (South Zambia)

1

-91

22

1

1391

0

379

-11

C17

Southern   Africa_zone4 (Zimbabwe)

8

-72

20

1

1329

2

378

-7

C18

Southern   Africa_zone5 (Northeast of Namibia, Botswana, and south Zimbabwe and   Mozambique)

20

-38

21

1

1295

0

404

-3

C19

Southern   Africa_zone6 (West Namibia coast)

12

-41

21

0

1393

-2

415

0

C20

Southern   Africa_zone7 (Southeast Namibia, Southwest Botswana, and northeast of South   Africa)

7

-56

17

2

1185

-5

288

-1

C21

Southern   Africa_zone8 (South Africa and southwest Namibia)

62

-51

14

0

1059

1

336

-26

C22

Southern   Africa_zone9 (western part of South Africa, Lesotho, and Eswatini)

69

-38

15

1

1139

1

384

-12

C23

S.   Africa Western Cape

121

-44

13

0

963

2

424

-26

C24

British   Columbia To Colorado

214

-23

14

2

1150

0

552

-12

C25

America   northern great plains_canada

157

-29

16

2

1029

2

547

-15

C26

America   northeastern great plains

205

-33

20

1

1130

0

689

-17

C27

America   northwestern great plains

119

-45

20

2

1160

1

574

-17

C28

Nnorth   of high plain

171

-45

24

2

1222

1

709

-19

C29

America   corn belt

347

-5

18

0

1037

-1

851

-4

C30

America   cotton belt_Mexican coastal plain

376

-5

26

1

1222

-2

870

-9

C31

America   cotton belt_lower Mississippi

488

-5

24

0

1171

-2

1033

-7

C32

America   cotton belt_high plain

465

-5

23

0

1164

-1

1033

-4

C33

Sub_boreal   North America

227

-26

13

2

903

5

619

-14

C34

America   West Coast

82

-45

19

1

1241

-3

476

-11

C35

Sierra   Madre

1039

-18

20

0

1202

-1

1113

-8

C36

SW   Mexico and N. Mexico highlands

303

1

22

1

1259

-4

743

-3

C37

Northern   South and Central America

1296

-3

24

0

1169

-3

1358

-2

C38

Caribbean

723

-2

26

0

1359

0

1336

-3

C39

Central_Northern   Andes

56

-11

13

-2

1319

-3

257

-28

C40

Central_Northern   Andes

347

-35

15

1

1177

0

537

-15

C41

Brazil   Nordeste

84

-13

25

0

1228

1

567

-2

C42

Central_Eastern   Brazil

113

-55

24

1

1144

1

572

-21

C43

Amazon

301

-27

26

1

1179

-1

815

-14

C44

Central_North   Argentina

147

-3

17

0

986

-5

485

-5

C45

SE   Brazil_Concepcion_Bahia Blanca

358

-16

15

0

870

-2

689

-9

C46

SW   Southern Cone

619

-8

6

0

738

0

535

-4

C47

Semi_arid   Southern Cone

113

16

10

0

991

-4

364

7

C48

Caucasus

124

-38

19

1

1277

3

535

-12

C49

Central   Asia Pamir mountains

186

8

18

0

1364

-2

552

6

C50

Western   Asia (Kazakhstan,Uzbekistan,Turkmenistan,Iran et.al)

158

145

23

1

1302

-2

551

15

C51

Western   Asia(Syrian, Jordan,Israel, et.al)

7

-79

27

1

1414

0

489

-6

C52

Gansu-Xinjiang   (China)

217

7

16

0

1145

-2

528

-5

C53

Hainan   (China)

1312

-1

26

0

1208

1

1525

2

C54

Huanghuaihai   (China)

383

-14

23

1

1096

3

877

-4

C55

Inner   Mongolia (China)

227

-8

16

0

1134

4

647

-5

C56

Loess   region (China)

342

-10

18

1

1111

3

784

-4

C57

Lower   Yangtze (China)

448

-47

24

1

1197

13

983

-20

C58

Northeast   China

438

21

15

0

1003

0

859

9

C59

Qinghai-Tibet   (China)

805

-31

13

2

1086

11

755

2

C60

Southern   China

938

-23

23

1

1205

12

1280

-8

C61

Southwest   China

635

-28

20

1

1067

12

1054

-8

C62

Taiwan   (China)

912

-7

25

-1

1135

-5

1134

-2

C63

East   Asia

691

5

17

0

945

0

1021

5

C64

Southern   Himalayas_zone111 (Vietnam, Laos, Myanmar)

1215

-7

23

1

1182

10

1415

-1

C65

Southern   Himalayas_zone112 (Myanmar)

965

-14

22

1

1194

17

1365

0

C66

Southern   Himalayas_zone12 (India, Myanmar, Bangladesh,Bhutan)

1468

-33

24

1

1109

20

1390

0

C67

Southern   Himalayas_zone222 (Nepal, India)

927

-17

25

1

1167

5

1260

5

C68

Southern   Asia

1216

-5

26

0

1115

5

1425

6

C69

Southern   Japan and Korea

891

-6

22

1

1044

1

1238

0

C70

Mongolia   region (Western of Mongolia)

120

-25

7

0

1146

1

417

-9

C71

S.   Asia Punjab to Gujarat

916

26

28

-1

1137

-2

1187

25

C72

SE   Asia islands_zone1 (Indonesia, Malaysia)

1008

14

25

0

1189

-2

1424

10

C73

SE   Asia islands_zone2 (Indonesia, Malaysia)

1435

13

25

0

1214

2

1560

6

C74

SE   Asia islands_zone3 (Indonesia, Papua New Guinea)

1418

9

24

0

1088

3

1367

8

C75

SE   Asia mainland_zone1 (Myanmar, Bangladesh)

1118

-34

27

1

1215

10

1464

-5

C76

SE   Asia mainland_zone2 (Thailand, Myanmar, Laos)

1482

10

25

0

1115

3

1515

3

C77

SE   Asia mainland_zone3 (Cambodia, Vietnam, Thailand, Laos)

1502

9

25

0

1133

4

1565

3

C78

Eastern   Siberia

395

9

11

0

797

-2

810

6

C79

Eastern   Central Asia (Eastern of Mongolia)

284

-1

10

0

978

2

658

0

C80

North   Australia_zone1 (Timor_Leste, Indonesia, Papua New Guinea)

505

99

25

0

1270

-1

1018

27

C81

North   Australia_zone2 (Northern Australia)

173

92

22

0

1167

-5

635

24

C82

Australia   Queensland to Victoria _zone1 (Southeast Australia_coast)

444

86

12

-1

778

-15

789

32

C83

Australia   Queensland to Victoria _zone21 (Southeast Australia Marrin Darling)

323

110

13

-1

813

-14

728

46

C84

Australia   Queensland to Victoria _zone22 (Southeast Australia Adeleid)

396

23

11

-1

603

-15

786

10

C85

Australia   Nullarbor_Darling_zone1 (Southwest Australia)

210

27

12

-1

856

-4

572

10

C86

Australia   Nullarbor_Darling_zone2 (Southwest Australia)

318

8

12

-1

810

-3

696

2

C87

New   Zealand

511

36

8

0

649

-6

700

7

C88

Boreal   Eurasia

361

-10

11

0

723

1

692

-4

C89

Ukraine   to URAL Mountains

275

5

15

1

816

-2

707

4

C90

Mediterranean   Europe and Turkey

131

-19

21

1

1251

0

579

-5

C91

W.   Europe _zone1 (Germany, Poland, Switzerland, Czechia, Hungary, Austria, and   Balkans countries)

227

-25

16

1

964

1

655

-12

C92

W.   Europe_ zone10 (Northwestern Greece and southwestern of Albania)

250

-25

20

0

1224

0

747

-7

C93

W.   Europe_zone2 (Southeastern of Romania, Moldova, and southwestern Urania)

93

-43

20

1

1054

-1

501

-18

C94

W.   Europe__zone3 (Ebro River, Zaragoza, Spain)

101

-24

21

2

1227

0

568

-2

C95

W.   Europe_zone4 (Northeastern of Italy and southwestern coast of France)

298

0

21

3

1151

0

794

5

C96

W.   Europe_zone5 (North Italy)

451

9

20

2

1087

-1

928

5

C97

W.   Europe_zone6 (Switzerland, North Italy and west Austria)

567

-7

13

2

1075

4

856

7

C98

W.   Europe_zone7 (Ireland, United Kingdom, France, Belgium, Netherland)

276

-24

17

2

923

9

725

-8

C99

W.   Europe_zone8 (Northwest of turkey and northeast of Greece)

148

-34

21

1

1195

2

604

-13

C100

W.   Europe_zone9 (North Greece and North Macedonia)

274

-8

19

1

1208

2

713

-8

C101

Boreal   North America

538

14

8

0

565

-9

634

-1

C102

URAL   to Altai Mountains

254

8

13

0

945

6

645

6

C103

Australian   Desert (Central Australia)

146

43

15

-1

948

-6

508

14

C104

Old   World Deserts

69

171

29

1

1418

-3

534

24

C105

Sub   Arctic America (IceLand)

186

5

0

1

607

-4

315

5

 

Table A.2  July 2022 – October 2022 agroclimatic indicators and biomass by country

country code

country name

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. (%)

AFG

Afghanistan

99

147

19.6

0.5

1409

-3

471

21

AGO

Angola

95

-39

21.8

0.1

1319

-1

518

-9

ARG

Argentina

199

-24

14.4

0.1

902

-2

504

-12

AUS

Australia

351

76

13.3

-0.6

831

-12

722

30

BGD

Bangladesh

1375

-32

27.2

0.5

1213

12

1638

1

BLR

Belarus

283

3

14.5

0.2

766

-3

688

-1

BRA

Brazil

168

-44

24.3

0.8

1143

0

633

-18

CAN

Canada

263

-21

14.2

1.3

940

3

631

-11

CHN

China

551

-27

20.6

0.8

1126

9

895

-7

DEU

Germany

241

-27

15.8

1.3

916

6

678

-12

DZA

Algeria

53

-50

24.6

1.6

1309

0

556

-10

EGY

Egypt

11

61

25.8

0.2

1371

-1

376

0

ETH

Ethiopia

740

-19

17.6

-0.1

1101

-7

884

-9

FRA

France

247

-20

18.2

2.4

1079

9

728

-4

GBR

United Kingdom

358

-22

14.2

1.4

713

9

750

-8

HUN

Hungary

133

-37

19.3

1.2

1025

0

554

-17

IDN

Indonesia

1216

19

24.3

0.1

1154

0

1417

12

IND

India

1136

-11

25.8

0.1

1122

6

1361

8

IRN

Iran

49

-13

23.3

0.8

1441

1

451

-1

ITA

Italy

323

-4

20.5

1.6

1154

0

781

1

KAZ

Kazakhstan

215

20

15.2

0.2

1045

3

599

10

KEN

Kenya

183

-47

19.9

0.2

1151

-2

601

-19

KGZ

Kyrgyzstan

172

-25

11

-0.5

1353

5

486

-6

KHM

Cambodia

1547

14

25.2

-0.2

1093

0

1600

1

LKA

Sri_Lanka

974

-13

26.1

-0.1

1215

-1

1270

1

MAR

Morocco

63

-26

23.7

1

1301

-5

549

-4

MEX

Mexico

940

-12

22.5

0

1224

-3

1109

-7

MMR

Myanmar

1262

-23

24.3

0.7

1147

13

1406

-3

MNG

Mongolia

238

-11

9

-0.4

1066

2

594

-4

MOZ

Mozambique

40

-43

22.4

0.3

1212

4

467

-9

NGA

Nigeria

749

-20

24.9

-0.2

1078

-2

1190

-4

PAK

Pakistan

539

72

24.7

-0.2

1268

-6

914

37

PHL

Philippines

1842

9

25.5

0.1

1243

3

1594

2

POL

Poland

236

-21

15.6

0.5

855

1

677

-8

ROU

Romania

146

-35

18.2

1

1048

-1

554

-17

RUS

Russia

290

4

13.8

0.5

854

2

709

4

SYR

Syria

6

-81

27.5

0.9

1420

0

489

-7

THA

Thailand

1420

19

24.9

0

1134

3

1553

4

TUR

Turkey

94

-30

19.6

0.6

1295

1

516

-8

UKR

Ukraine

220

10

16.9

0.1

890

-7

653

6

USA

United States

324

-9

20.5

0.4

1140

-1

760

-7

UZB

Uzbekistan

43

23

22.2

0.2

1382

1

491

5

VNM

Vietnam

1382

-2

24.1

0.2

1170

6

1503

2

ZAF

South Africa

66

-39

15.5

1.1

1130

0

377

-13

ZMB

Zambia

2

-88

21.8

0.3

1405

1

397

-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 Oct- Jan.

 

 

Table A.3 Argentina, July 2022 – October 2022 agroclimatic indicators and biomass (by province)



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. (%)

Buenos   Aires

150.5

-39.3

12.2

0.7

860.5

1.8

444.6

-22.6

Chaco

145.4

-46.5

17.8

-0.3

896.7

-1.6

538.9

-20.0

Cordoba

103.1

-19.5

14.3

0.3

969.2

-2.4

403.5

-7.8

Corrientes

363.1

-20.3

16.1

-0.4

846.4

-0.6

792.7

-7.3

Entre   Rios

280.3

-22.5

14.1

0.0

839.0

-2.2

645.8

-10.7

La   Pampa

158.7

-8.1

12.7

0.6

886.0

-0.7

471.6

0.1

Misiones

670.9

11.0

16.9

-0.5

865.3

-2.8

1036.4

4.1

Santiago   Del Estero

103.0

-30.9

17.1

-0.3

977.7

-3.6

440.5

-12.9

San   Luis

121.7

13.7

12.7

0.0

974.8

-2.3

416.8

7.2

Salta

109.2

-36.7

16.0

0.0

1067.3

-4.5

456.3

-12.9

Santa   Fe

154.3

-39.0

15.6

0.1

890.6

-2.3

507.1

-18.6

Tucuman

121.2

33.1

13.5

-0.4

1078.3

-6.7

428.2

7.1

 

Table A.4  Australia, July 2022 – October 2022 agroclimatic indicators and biomass (by state) 



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. (%)

New   South Wales

420

133

12

-1

801

-17

779

54

South   Australia

286

36

12

-1

699

-15

671

18

Victoria

428

48

10

0

620

-15

739

19

W.   Australia

248

15

14

-1

884

-3

623

6

 

Table A.5  Brazil, July 2022 – October 2022 agroclimatic indicators and biomass (by state)


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. (%)

Ceara

70

22

27

0

1340

-3

610

2

Goias

5

-98

26

2

1251

2

435

-36

Mato Grosso Do Sul

147

-50

24

1

1094

1

628

-19

Mato Grosso

87

-61

27

1

1170

-1

542

-24

Minas Gerais

43

-83

22

1

1151

2

449

-33

Parana

488

-9

18

0

931

-4

871

-6

Rio Grande Do Sul

478

-25

15

0

840

-1

911

-7

Santa Catarina

624

-2

15

0

821

-5

976

1

Sao Paulo

99

-72

22

1

1082

2

517

-35

 

Table A.6  Canada, July 2022 – October 2022 agroclimatic indicators and biomass (by province) 



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. (%)

Alberta

148

-37

15

3

988

3

507

-20

Manitoba

233

-18

15

1

948

3

665

-9

Saskatchewan

156

-32

16

2

999

4

536

-17

 

Table A.7  India, July 2022 – October 2022 agroclimatic indicators and biomass (by state) 



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. (%)

Andhra   Pradesh

942.1

2.9

26.3

0.1

1137.9

5.0

1392.5

7.7

Assam

1682.6

-39.4

25.1

0.4

1088.7

21.2

1484.7

0.2

Bihar

917.0

-35.4

27.7

0.5

1196.3

8.8

1408.9

-2.1

Chhattisgarh

1013.5

-17.0

25.5

0.2

1118.8

4.6

1396.7

0.3

Daman   and Diu

1568.4

0.9

27.4

-0.2

1156.3

0.6

1324.1

0.7

Delhi

870.3

37.0

28.2

-0.5

1173.8

0.7

1379.4

25.0

Gujarat

1034.4

-9.1

27.2

-0.5

1090.0

1.8

1239.6

5.9

Goa

2137.2

-24.8

25.1

0.1

1090.8

7.0

1601.1

2.3

Himachal   Pradesh

610.5

-38.6

20.2

1.0

1197.0

0.6

914.2

-2.9

Haryana

766.4

29.3

28.4

-0.6

1181.9

1.3

1262.1

25.6

Jharkhand

1138.8

-10.7

25.9

0.2

1174.7

4.3

1534.4

4.0

Kerala

1685.3

-21.0

23.9

-0.1

1090.7

4.9

1390.0

-6.6

Karnataka

1140.3

3.2

23.4

-0.1

1019.1

7.5

1338.0

11.0

Meghalaya

1908.1

-29.4

24.2

0.1

1045.4

16.2

1455.9

-1.2

Maharashtra

1469.0

17.0

24.3

-0.4

1022.5

2.7

1491.5

15.2

Manipur

1119.2

-44.9

21.8

0.5

1136.5

30.2

1374.2

0.2

Madhya   Pradesh

1200.9

7.0

25.3

-0.2

1102.2

6.0

1446.6

13.0

Mizoram

1528.1

-26.4

23.5

0.1

1194.1

21.7

1576.9

4.3

Nagaland

1666.6

-26.5

20.9

-0.7

1007.3

16.4

1380.8

1.3

Orissa

1254.0

-8.5

26.1

0.4

1163.7

5.7

1497.5

1.1

Puducherry

1020.1

-35.6

27.9

0.4

1187.9

5.1

1344.5

-7.4

Punjab

752.0

19.4

28.2

-0.7

1194.4

0.4

1203.0

21.0

Rajasthan

1073.8

55.6

27.3

-1.4

1112.2

-2.3

1275.6

33.5

Sikkim

812.3

-10.7

20.6

3.4

1165.5

8.8

992.3

9.0

Tamil   Nadu

650.4

-25.9

27.1

0.8

1125.5

4.2

1100.2

-8.4

Tripura

1334.2

-32.2

26.3

0.5

1210.1

19.4

1651.8

3.0

Uttarakhand

427.8

-59.9

22.8

2.4

1222.0

8.3

850.8

-15.5

Uttar   Pradesh

844.4

-19.7

27.9

0.4

1161.2

4.5

1332.2

3.2

West   Bengal

1502.2

-19.5

27.2

0.5

1202.3

7.9

1621.6

2.7

 

 

Table A.8  Kazakhstan, July 2022 – October 2022 agroclimatic indicators and biomass (by oblast)



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. (%)

Akmolinskaya

220

35

14

0

1004

8

623

17

Karagandinskaya

155

6

14

0

1083

7

524

3

Kustanayskaya

162

-5

15

1

967

7

551

1

Pavlodarskaya

252

36

14

0

943

4

660

17

Severo   kazachstanskaya

277

30

13

0

892

8

715

20

Vostochno   kazachstanskaya

242

2

13

0

1132

5

623

1

Zapadno   kazachstanskaya

198

60

19

1

949

-6

661

28

 

Table A.9 Russia, July 2022 – October 2022 agroclimatic indicators and biomass (by oblast, kray and republic)



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. (%)

Bashkortostan   Rep.

241.5

-15.2

13.6

0.9

873.9

8.9

676.1

-2.8

Chelyabinskaya   Oblast

200.3

-18.8

13.4

0.7

908.7

11.9

587.8

-8.1

Gorodovikovsk

150.0

-20.3

21.2

1.0

1012.9

-5.9

617.3

-8.3

Krasnodarskiy   Kray

285.5

-5.3

14.9

-0.4

946.9

-1.4

736.5

-1.7

Kurganskaya   Oblast

229.1

-2.9

13.3

0.7

868.7

13.3

613.0

-2.9

Kirovskaya   Oblast

328.7

3.4

13.3

1.4

733.1

5.6

742.6

0.8

Kurskaya   Oblast

336.6

53.4

14.8

0.0

748.5

-13.7

781.5

26.3

Lipetskaya   Oblast

329.5

52.8

15.2

0.3

765.7

-9.0

769.5

24.8

Mordoviya   Rep.

291.6

8.4

14.7

0.9

801.0

-0.3

716.9

4.4

Novosibirskaya   Oblast

299.4

12.2

11.8

0.0

800.3

3.1

749.2

11.6

Nizhegorodskaya   O.

279.5

-3.4

14.4

1.1

757.9

0.8

707.2

0.2

Orenburgskaya   Oblast

225.0

23.8

16.1

0.8

931.9

1.3

659.8

16.6

Omskaya   Oblast

306.8

27.8

12.4

0.4

777.5

3.3

719.7

16.2

Permskaya   Oblast

213.7

-36.9

13.0

1.7

790.1

15.9

608.4

-17.6

Penzenskaya   Oblast

361.4

46.2

14.8

0.7

817.6

-3.0

833.3

26.1

Rostovskaya   Oblast

180.1

6.6

20.0

1.0

993.0

-4.6

657.6

6.2

Ryazanskaya   Oblast

321.2

24.9

15.0

0.7

762.8

-3.9

773.0

14.4

Stavropolskiy   Kray

212.2

-24.7

20.0

0.7

1069.5

-0.8

698.2

-11.0

Sverdlovskaya   Oblast

154.7

-47.4

12.9

1.6

843.4

20.0

496.9

-28.2

Samarskaya   Oblast

324.5

39.0

15.7

0.8

870.7

1.1

781.7

21.5

Saratovskaya   Oblast

316.6

70.4

16.5

0.5

883.9

-6.0

802.3

37.4

Tambovskaya   Oblast

368.1

72.6

15.5

0.4

816.9

-5.7

833.9

33.8

Tyumenskaya   Oblast

235.9

-5.7

12.6

0.8

784.6

9.1

617.7

-3.2

Tatarstan   Rep.

343.6

18.5

14.3

1.1

821.5

6.9

723.9

1.5

Ulyanovskaya   Oblast

360.8

36.9

14.9

0.8

828.7

0.4

791.7

17.0

Udmurtiya   Rep.

288.7

-6.1

13.7

1.6

780.0

10.5

690.1

-4.4

Volgogradskaya   O.

224.2

47.6

18.6

0.9

922.2

-8.0

674.9

21.3

Voronezhskaya   Oblast

349.0

88.0

16.5

0.3

866.4

-6.0

830.5

40.5

 

Table A.10  United States, July 2022 – October 2022 agroclimatic indicators and biomass (by state)


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. (%)

Arkansas

350

-13

24

0

1177

-1

872

-12

California

48

-26

21

1

1325

-5

483

-1

Idaho

77

-44

17

2

1236

-1

447

-15

Indiana

327

6

19

0

1102

-2

865

1

Illinois

302

-8

20

0

1113

-2

836

-4

Iowa

232

-27

20

0

1130

0

718

-15

Kansas

145

-55

24

2

1214

1

693

-23

Michigan

300

-8

17

0

980

-2

771

-7

Minnesota

181

-40

17

1

1050

2

632

-20

Missouri

305

-11

22

0

1174

0

860

-6

Montana

113

-38

17

2

1165

1

524

-15

Nebraska

146

-45

22

2

1192

0

672

-16

North Dakota

125

-49

18

1

1088

3

539

-24

Ohio

337

15

18

-1

1046

-4

874

4

Oklahoma

250

-28

26

1

1212

-1

779

-17

Oregon

78

-52

17

2

1198

0

442

-13

South Dakota

115

-55

21

2

1163

2

592

-23

Texas

394

2

26

0

1228

-2

867

-8

Washington

119

-45

17

2

1130

2

472

-16

Wisconsin

246

-15

16

0

1026

-1

715

-8

 

 

Table A.11  China, July 2022 – October 2022 agroclimatic indicators and biomass (by province)



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. (%)

Anhui

438

-39

24

1

1119

10

969

-15

Chongqing

484

-46

22

1

1096

12

1039

-15

Fujian

511

-47

24

1

1236

14

1018

-23

Gansu

377

-11

15

1

1044

2

752

-3

Guangdong

887

-28

26

1

1261

9

1253