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Annex A. Agroclimatic indicators and BIOMSS Annex
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Annex A. Agroclimatic indicators and BIOMSS

Table A.1 October 2022 - January 2023 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)

322

-17

23.4

-0.3

1274

0

1398

-3

C02

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

870

-4

22.9

-0.4

1141

-3

1336

-7

C03

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

969

-15

22.3

-0.2

1181

0

857

-12

C04

Equatorial     central Africa_zone4 (Angola, Zambia, and Malawi)

703

-24

22.1

0.1

1299

3

407

-13

C05

East     African highlands

150

-34

18.1

0.0

1297

-1

795

-12

C06

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

92

-30

24.6

-0.6

1236

-1

1213

-7

C07

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

377

-14

24.8

-0.3

1168

-2

1353

-8

C08

Horn     of Africa

243

-34

21.7

0.2

1322

3

534

-13

C09

Madagascar(main)

966

13

22.3

-0.7

1333

-1

622

-1

C10

SW     Madagascar

550

57

25.7

-0.4

1364

-5

430

-4

C11

North     Africa Mediterranean

108

-46

13.0

1.1

746

4

533

-8

C12

Sahel

54

-13

24.7

-0.6

1231

-1

1146

9

C13

Southern     Africa_zone1 (West Angolan coast)

581

-19

23.6

-0.3

1246

0

555

-10

C14

Southern     Africa_zone10 (Middle part of South Africa)

126

-16

22.7

0.9

1584

0

318

-8

C15

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

557

-14

25.2

0.1

1379

4

488

-9

C16

Southern     Africa_zone3 (South Zambia)

680

-19

24.1

-0.2

1325

-2

379

-11

C17

Southern     Africa_zone4 (Zimbabwe)

539

-19

23.6

0.1

1392

1

378

-7

C18

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

246

-44

25.1

0.6

1393

1

404

-3

C19

Southern     Africa_zone6 (West Namibia coast)

223

-21

24.4

0.2

1397

-5

415

0

C20

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

32

-41

25.6

1.6

1671

-4

288

-1

C21

Southern     Africa_zone8 (South Africa and southwest Namibia)

32

-53

20.1

0.9

1652

-1

336

-26

C22

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

176

-43

20.8

1.2

1470

3

384

-12

C23

S.     Africa Western Cape

93

-38

18.9

0.9

1530

0

424

-26

C24

British     Columbia To Colorado

315

-11

-2.5

-0.3

448

1

552

-12

C25

America     northern great plains_canada

159

9

-4.1

0.0

321

0

547

-15

C26

America     northeastern great plains

217

-10

2.0

0.3

483

0

689

-17

C27

America     northwestern great plains

153

6

-1.0

-0.8

464

-2

574

-17

C28

Nnorth     of high plain

150

-10

6.1

0.1

630

-2

709

-19

C29

America     corn belt

383

-3

3.5

1.3

423

0

851

-4

C30

America     cotton belt_Mexican coastal plain

315

12

12.9

0.5

664

-7

870

-9

C31

America     cotton belt_lower Mississippi

565

17

12.7

1.2

606

-4

1033

-7

C32

America     cotton belt_high plain

366

-6

11.8

1.1

625

-2

1033

-4

C33

Sub_boreal     North America

211

-3

-5.2

1.2

247

2

619

-14

C34

America     West Coast

570

11

7.2

-0.9

520

-1

476

-11

C35

Sierra     Madre

165

-33

15.4

0.0

1050

0

1113

-8

C36

SW     Mexico and N. Mexico highlands

144

5

8.0

-0.5

760

-3

743

-3

C37

Northern     South and Central America

640

-9

22.3

0.0

1048

0

1358

-2

C38

Caribbean

269

-29

24.1

0.4

1060

3

1336

-3

C39

Central_Northern     Andes

523

45

15.2

-1.8

1323

-5

257

-28

C40

Central_Northern     Andes

699

-26

15.4

0.1

1170

3

537

-15

C41

Brazil     Nordeste

154

-43

26.8

0.8

1332

-1

567

-2

C42

Central_Eastern     Brazil

400

-57

26.0

1.4

1239

-2

572

-21

C43

Amazon

765

-27

25.7

0.4

1162

0

815

-14

C44

Central_North     Argentina

761

39

23.6

-0.6

1331

-4

485

-5

C45

SE     Brazil_Concepcion_Bahia Blanca

419

-24

22.2

0.1

1430

1

689

-9

C46

SW     Southern Cone

196

-33

13.6

1.1

1519

2

535

-4

C47

Semi_arid     Southern Cone

447

150

18.6

0.2

1536

-6

364

7

C48

Caucasus

192

-35

5.4

1.0

573

2

535

-12

C49

Central     Asia Pamir mountains

186

-3

2.6

-0.1

714

-1

552

6

C50

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

113

-16

6.9

0.4

662

0

551

15

C51

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

116

-53

13.7

1.3

710

4

489

-6

C52

Gansu-Xinjiang     (China)

87

16

-5.0

-1.3

589

-1

528

-5

C53

Hainan     (China)

552

-5

20.3

-0.4

757

0

1525

2

C54

Huanghuaihai     (China)

127

47

5.9

0.5

650

0

877

-4

C55

Inner     Mongolia (China)

61

15

-6.2

0.1

578

-1

647

-5

C56

Loess     region (China)

108

31

1.1

0.5

678

-3

784

-4

C57

Lower     Yangtze (China)

243

-19

11.4

1.0

682

7

983

-20

C58

Northeast     China

124

28

-7.3

0.3

468

-3

859

9

C59

Qinghai-Tibet     (China)

205

-2

1.5

1.0

881

1

755

2

C60

Southern     China

264

-24

15.1

0.6

805

9

1280

-8

C61

Southwest     China

202

-26

8.4

0.7

651

10

1054

-8

C62

Taiwan     (China)

361

11

19.9

-0.4

824

1

1134

-2

C63

East     Asia

296

-8

-0.4

0.6

502

1

1021

5

C64

Southern     Himalayas_zone111 (Vietnam, Laos, Myanmar)

261

-22

16.6

0.5

855

13

1415

-1

C65

Southern     Himalayas_zone112 (Myanmar)

169

-44

16.0

0.4

1065

8

1365

0

C66

Southern     Himalayas_zone12 (India, Myanmar, Bangladesh,Bhutan)

309

-9

16.0

-0.2

966

6

1390

0

C67

Southern     Himalayas_zone222 (Nepal, India)

121

18

16.1

0.0

972

1

1260

5

C68

Southern     Asia

299

0

22.0

-0.1

1106

2

1425

6

C69

Southern     Japan and Korea

353

-25

10.0

1.2

610

5

1238

0

C70

Mongolia     region (Western of Mongolia)

39

-22

-14.0

-0.5

472

1

417

-9

C71

S.     Asia Punjab to Gujarat

53

10

20.1

-0.1

982

0

1187

25

C72

SE     Asia islands_zone1 (Indonesia, Malaysia)

1445

2

24.2

-0.2

1088

0

1424

10

C73

SE     Asia islands_zone2 (Indonesia, Malaysia)

1370

4

24.4

0.1

1101

2

1560

6

C74

SE     Asia islands_zone3 (Indonesia, Papua New Guinea)

1404

-6

23.9

0.2

1135

2

1367

8

C75

SE     Asia mainland_zone1 (Myanmar, Bangladesh)

198

-36

22.9

0.8

1103

4

1464

-5

C76

SE     Asia mainland_zone2 (Thailand, Myanmar, Laos)

637

24

22.5

-0.2

1068

0

1515

3

C77

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

525

6

22.0

-0.4

1001

1

1565

3

C78

Eastern     Siberia

191

-21

-9.1

0.5

284

4

810

6

C79

Eastern     Central Asia (Eastern of Mongolia)

67

-12

-13.7

0.0

375

1

658

0

C80

North     Australia_zone1 (Timor_Leste, Indonesia, Papua New Guinea)

1066

12

26.4

-0.1

1391

0

1018

27

C81

North     Australia_zone2 (Northern Australia)

764

31

26.4

0.0

1367

-3

635

24

C82

Australia     Queensland to Victoria _zone1 (Southeast Australia_coast)

352

7

17.8

-1.5

1346

-5

789

32

C83

Australia     Queensland to Victoria _zone21 (Southeast Australia Marrin Darling)

257

34

21.0

-1.9

1433

-6

728

46

C84

Australia     Queensland to Victoria _zone22 (Southeast Australia Adeleid)

234

24

16.5

-0.4

1265

-6

786

10

C85

Australia     Nullarbor_Darling_zone1 (Southwest Australia)

85

-17

18.8

-1.4

1480

-3

572

10

C86

Australia     Nullarbor_Darling_zone2 (Southwest Australia)

86

-19

18.3

-0.9

1496

-2

696

2

C87

New     Zealand

540

67

13.5

0.1

1163

-10

700

7

C88

Boreal     Eurasia

361

-4

-2.5

0.6

122

-2

692

-4

C89

Ukraine     to URAL Mountains

290

7

-0.1

0.8

167

-11

707

4

C90

Mediterranean     Europe and Turkey

332

-13

10.0

1.6

544

1

579

-5

C91

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

290

-10

5.3

1.7

291

2

655

-12

C92

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

689

-3

10.4

1.7

536

3

747

-7

C93

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

166

-29

7.2

2.5

364

1

501

-18

C94

W.     Europe__zone3 (Ebro River, Zaragoza, Spain)

168

-16

9.1

1.8

518

-3

568

-2

C95

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

351

-18

10.5

2.9

441

0

794

5

C96

W.     Europe_zone5 (North Italy)

417

-9

8.6

2.0

367

-6

928

5

C97

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

386

-20

2.1

1.9

399

-1

856

7

C98

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

410

-5

7.6

1.1

273

6

725

-8

C99

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

202

-51

11.3

3.3

489

5

604

-13

C100

W.     Europe_zone9 (North Greece and North Macedonia)

281

-22

9.0

2.9

513

5

713

-8

C101

Boreal     North America

414

3

-4.7

1.8

128

-7

634

-1

C102

URAL     to Altai Mountains

195

3

-6.5

0.2

270

-1

645

6

C103

Australian     Desert (Central Australia)

120

12

21.6

-1.1

1545

-3

508

14

C104

Old     World Deserts

52

-15

17.4

0.7

927

-1

534

24

C105

Sub     Arctic America (IceLand)

128

14

-18.4

0.8

39

-6

315

5

 

 

Table A.2  October 2022 - January 2023 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 (%)

AFG

Argentina

427

-3

22.5

0.5

1443

-1

992

-1

AUS

Australia

324

17

19.7

-1.4

1393

-5

832

2

BGD

Bangladesh

264

-1

21.0

0.2

1008

3

580

-1

BRA

Brazil

464

-49

25.6

1.0

1242

-1

1007

-23

KHM

Cambodia

607

22

23.7

-0.5

1068

0

1066

10

CAN

Canada

299

-6

-2.8

1.2

290

2

287

11

CHN

China

195

-14

6.4

0.6

665

5

345

-6

EGY

Egypt

39

-30

17.4

0.2

794

3

221

-13

ETH

Ethiopia

109

-33

18.1

0.0

1307

-1

445

-14

FRA

France

386

-7

8.0

1.5

346

4

626

8

DEU

Germany

298

-12

5.4

1.3

245

7

531

7

IND

India

206

4

19.9

-0.2

1049

2

516

1

IDN

Indonesia

1367

-2

24.4

0.0

1142

2

1490

2

IRN

Iran

144

-19

8.7

0.6

765

0

334

-9

KAZ

Kazakhstan

172

4

-5.0

0.0

349

0

252

1

MEX

Mexico

240

-19

18.0

0.2

1000

0

493

-13

MMR

Myanmar

244

-28

19.5

0.4

1073

5

582

-14

NGA

Nigeria

125

-32

24.0

-0.9

1249

0

513

-13

PAK

Pakistan

96

-17

12.4

0.6

857

-1

258

-14

PHL

Philippines

1437

31

24.5

0.0

992

-4

1398

6

POL

Poland

230

-15

4.3

1.2

208

1

479

6

ROU

Romania

213

-14

5.9

2.5

385

2

443

-1

RUS

Russia

239

3

-4.2

0.5

211

-5

254

1

SYR

Syria

159

-41

21.2

1.1

1493

2

726

-15

ZAF

South Africa

538

23

22.4

-0.3

1061

0

870

3

THA

Thailand

190

-46

7.3

1.6

598

4

406

-23

TUR

Turkey

483

-2

7.3

0.8

183

9

612

6

GBR

United Kingdom

229

-1

3.6

1.4

252

-7

444

7

UKR

Ukraine

328

1

6.2

0.5

539

-2

477

6

USA

United States

141

-5

3.8

-1.1

621

2

258

-13

UZB

Uzbekistan

563

-6

19.6

0.2

864

6

910

-2

VNM

Vietnam

96

-28

4.6

0.0

780

0

258

-16

AFG

Afghanistan

663

-25

23.1

0.1

1245

0

1159

-8

AGO

Angola

338

20

1.9

1.1

136

-15

409

7

BLR

Belarus

238

0

6.4

2.1

336

-1

520

10

HUN

Hungary

402

-9

9.8

2.1

464

2

629

6

ITA

Italy

281

-30

20.4

0.1

1298

0

759

-14

KEN

Kenya

1067

-9

24.3

-0.3

1106

1

1416

3

LKA

Sri_Lanka

151

-28

12.7

1.0

772

0

364

-19

MAR

Morocco

50

-4

-13.9

-0.5

447

0

112

-3

MNG

Mongolia

571

-12

25.4

0.1

1371

3

1123

-3

MOZ

Mozambique

723

-18

23.4

-0.1

1316

0

1147

-6

ZMB

Zambia

228

12

-5.8

-1.5

596

0

227

-2

KGZ

Kyrgyzstan

110

-54

13.9

1.2

711

4

345

-29

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 October 2022 - January 2023 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

178

-33

21.6

1.4

1505

-1

789

-9

Chaco

435

-24

24.7

-0.3

1392

4

1085

-11

Cordoba

500

74

23.0

0.3

1462

-3

1129

19

Corrientes

462

-25

23.5

-0.2

1442

3

1155

-6

Entre Rios

206

-50

23.4

1.0

1470

0

860

-19

La Pampa

271

14

22.9

1.2

1538

-2

950

8

Misiones

663

-12

21.8

-1.2

1456

4

1268

-7

Santiago Del Estero

618

19

24.5

-0.2

1322

-4

1166

0

San Luis

432

83

21.7

0.0

1488

-4

1103

24

Salta

1130

24

21.2

-0.1

1281

-1

1246

0

Santa Fe

340

-22

24.4

0.7

1452

0

1002

-8

Tucuman

1171

101

19.7

-0.4

1277

-9

1249

16

 

Table A.4  October 2022 - January 2023 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

324

13

19.2

-2.3

1431

-4

921

5

South Australia

181

29

18.7

-0.8

1373

-6

719

6

Victoria

345

39

16.5

-1.1

1271

-9

843

8

W. Australia

158

2

19.5

-1.1

1485

-2

594

-10

 

Table A.5  October 2022 - January 2023 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

133

-37

27.9

0.2

1363

-1

723

-3

Goias

150

-86

27.6

3.1

1219

-5

674

-54

Mato Grosso Do Sul

323

-64

26.8

0.9

1272

-4

946

-34

Mato Grosso

535

-57

26.8

1.5

1154

-1

1066

-29

Minas Gerais

384

-65

24.6

2.0

1239

-3

940

-32

Parana

638

-28

21.6

-0.2

1336

1

1178

-16

Rio Grande Do Sul

383

-37

21.1

-0.2

1430

3

1057

-12

Santa Catarina

848

5

18.7

-0.6

1317

4

1281

-1

Sao Paulo

328

-70

24.6

1.5

1282

0

895

-38

 

Table A.6  Canada, October 2022 - January 2023 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

139

-9

-4.7

0.3

279

2

273

11

Manitoba

200

4

-4.9

0.7

280

-2

258

1

Saskatchewan

159

2

-5.1

0.1

296

2

263

3

 

Table A.7  India, October 2022 - January 2023 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

338

44

22.6

-0.1

1110

0

783

12

Assam

387

13

16.5

-0.9

909

4

548

-6

Bihar

115

-4

18.5

-0.6

989

3

387

-5

Chhattisgarh

77

-34

19.6

0.0

1116

4

431

-10

Daman and Diu

27

-37

26.1

0.0

1147

0

449

-6

Delhi

168

198

17.0

-0.8

892

-3

393

27

Gujarat

49

32

24.0

-0.1

1097

0

404

-3

Goa

269

10

25.8

-0.1

1202

2

772

5

Himachal Pradesh

101

-36

9.4

0.6

884

0

301

-9

Haryana

87

63

17.2

-0.4

884

-2

330

9

Jharkhand

116

-12

18.4

0.0

1055

3

427

-6

Kerala

660

-10

23.9

-0.5

1137

2

1076

-2

Karnataka

336

15

22.1

-0.5

1148

1

779

5

Meghalaya

430

19

16.9

-0.8

924

3

573

-3

Maharashtra

181

49

22.3

-0.3

1144

2

578

6

Manipur

191

-49

13.1

-0.9

998

10

446

-25

Madhya Pradesh

88

50

19.1

-0.3

1065

3

404

6

Mizoram

328

-12

15.7

-1.0

1046

7

508

-17

Nagaland

349

-21

12.1

-1.6

929

11

504

-21

Orissa

158

-19

20.5

0.3

1107

3

482

-14

Puducherry

544

-2

26.0

0.4

1146

0

1103

3

Punjab

56

-33

16.6

-0.3

850

0

304

-7

Rajasthan

61

110

19.6

-0.2

993

0

321

4

Sikkim

46

-33

12.2

2.7

1006

-4

234

-6

Tamil Nadu

653

-2

23.9

0.2

1094

2

1104

3

Tripura

231

-37

19.1

-0.1

1002

5

563

-8

Uttarakhand

154

91

12.0

1.1

921

-2

278

2

Uttar Pradesh

125

83

17.6

-0.6

956

0

356

4

West Bengal

172

-4

20.9

0.5

1017

2

501

-4


Table A.8  Kazakhstan, October 2022 - January 2023 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

144

-1

-6.4

0.4

305

2

238

4

Karagandinskaya

117

-7

-6.9

0.0

376

3

228

1

Kustanayskaya

170

15

-5.7

0.4

264

-3

248

3

Pavlodarskaya

125

-3

-6.5

0.6

280

1

240

6

Severo kazachstanskaya

179

13

-6.6

0.5

232

1

228

3

Vostochno kazachstanskaya

203

-4

-6.5

0.0

400

2

232

2

Zapadno kazachstanskaya

191

6

-1.6

0.6

263

-9

341

8

 

Table A.9 Russia, October 2022 - January 2023 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.

245

-1

-5.7

0.2

187

-3

234

1

Chelyabinskaya Oblast

171

8

-6.4

0.3

217

-1

225

2

Gorodovikovsk

131

-42

4.7

1.1

332

-4

366

-23

Krasnodarskiy Kray

201

-27

-1.2

0.7

310

3

285

-11

Kurganskaya Oblast

168

-1

-6.6

0.4

182

-2

223

3

Kirovskaya Oblast

330

6

-4.3

0.6

92

-17

251

5

Kurskaya Oblast

318

16

0.4

0.8

168

-16

367

3

Lipetskaya Oblast

326

26

-0.5

0.7

162

-16

346

3

Mordoviya Rep.

312

16

-2.3

0.5

141

-16

302

3

Novosibirskaya Oblast

230

4

-7.7

0.7

177

-5

207

5

Nizhegorodskaya O.

307

6

-2.7

0.4

115

-14

289

3

Orenburgskaya Oblast

230

10

-4.5

0.2

242

-5

267

1

Omskaya Oblast

204

5

-7.2

0.8

164

-7

216

7

Permskaya Oblast

272

-8

-5.9

0.5

115

-6

226

5

Penzenskaya Oblast

294

10

-2.1

0.5

158

-15

307

3

Rostovskaya Oblast

194

-18

3.2

1.2

288

-8

426

-1

Ryazanskaya Oblast

324

18

-1.2

0.6

131

-19

325

2

Stavropolskiy Kray

162

-30

4.5

0.9

367

-2

402

-13

Sverdlovskaya Oblast

190

-8

-6.8

0.4

141

-1

216

5

Samarskaya Oblast

283

16

-3.2

0.4

182

-11

292

3

Saratovskaya Oblast

251

7

-1.6

0.6

206

-14

332

4

Tambovskaya Oblast

323

22

-0.9

0.7

163

-17

337

3

Tyumenskaya Oblast

191

-5

-7.1

0.6

146

-6

214

5

Tatarstan Rep.

298

12

-3.8

0.5

136

-12

268

3

Ulyanovskaya Oblast

278

14

-2.8

0.6

157

-15

294

4

Udmurtiya Rep.

315

7

-4.7

0.7

110

-12

248

6

Volgogradskaya O.

214

1

0.4

0.8

248

-13

386

6

Voronezhskaya Oblast

319

30

0.1

0.7

204

-14

368

3

 

Table A.10  United States, October 2022 - January 2023 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

519

13

10.1

0.9

570

-5

790

10

California

514

53

9.1

-0.9

626

-4

566

19

Idaho

310

-6

-1.1

-0.4

465

2

356

1

Indiana

286

-28

5.4

1.0

482

2

575

6

Illinois

304

-15

5.0

0.8

501

3

567

6

Iowa

244

-5

1.9

0.4

467

-2

461

6

Kansas

155

-14

6.2

0.2

616

-2

378

-3

Michigan

293

-16

2.3

1.1

356

2

446

7

Minnesota

229

-2

-1.6

0.9

367

-2

346

6

Missouri

331

1

6.2

0.5

554

0

611

9

Montana

183

-1

-2.4

-1.0

427

-1

314

-1

Nebraska

148

-2

2.5

-0.3

561

-1

384

7

North Dakota

161

1

-2.9

-0.4

392

-1

313

4

Ohio

289

-24

5.0

0.9

454

1

553

5

Oklahoma

258

2

9.5

0.4

623

-6

543

9

Oregon

433

-16

3.0

-0.9

434

5

447

-3

South Dakota

149

-8

-0.2

-0.5

482

0

349

2

Texas

293

12

13.5

0.5

674

-7

551

6

Washington

513

-9

2.5

-0.4

346

6

444

2

Wisconsin

295

4

0.2

1.2

377

-3

393

7

 

Table A.11  China, October 2022 - January 2023 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

208

-5

9.2

0.6

659

2

458

-3

Chongqing

202

-28

9.3

0.7

609

11

479

-13

Fujian

375

-5

13.5

1.1

637

1

732

9

Gansu

105

-6

-0.5

0.3

675

-5

248

2

Guangdong

371

-5

16.4

0.5

757

4

675

-2

Guangxi

205

-45

14.8

0.9

751

15

518

-26

Guizhou

181

-49

9.5

0.8

610

24

486

-26

Hebei

78

43

-0.4

0.2

614

-1

195

15

Heilongjiang

109

10

-9.2

0.4

423

-3

194

7

Henan

164

42

7.4

0.7

666

0

331

9

Hubei

164

-28

8.9

0.9

679

6

404

-15

Hunan

162

-50

11.1

1.3

724

19

433

-29

Jiangsu

189

-2

9.4

0.6

660

2

457

2

Jiangxi

280

-21

11.9

1.0

691

9

573

-8

Jilin

147

41

-6.3

0.3

504

-4

234

15

Liaoning

137

54

-2.4

0.1

555

-3

280

31

Inner Mongolia

57

7

-8.3

0.0

537

0

151

9

Ningxia

57

-2

-1.3

-0.1

696

-3

174

-4

Shaanxi

190

62

3.2

0.5

648

-4

320

16

Shandong

114

47

5.8

0.5

657

0

274

13

Shanxi

96

50

-0.4

0.5

653

-2

235

23

Sichuan

260

0

7.0

0.7

615

1

468

0

Yunnan

172

-43

10.4

0.4

830

12

435

-26

Zhejiang

332

-12

10.7

0.8

599

-2

673

2


菜单

  • Executive summary
    • Executive summary
  • Global agroclimatic patterns
    • Global agroclimatic patterns
  • Crop and environmental conditions in major production zones
    • Overview
    • West Africa
    • North America
    • South America
    • South and Southeast Asia
    • Western Europe
    • Central Europe to Western Russia
  • Main producing and exporting countries
    • Overview
    • Country analysis
    • Afghanistan
    • Angola
    • Argentina
    • Australia
    • Bangladesh
    • Belarus
    • Brazil
    • Canada
    • Germany
    • Egypt
    • Ethiopia
    • France
    • United Kingdom
    • Hungary
    • Indonesia
    • India
    • Iran
    • Italy
    • Kazakhstan
    • Kenya
    • Cambodia
    • Sri Lanka
    • Morocco
    • Mexico
    • Myanmar
    • Mongolia
    • Mozambique
    • Nigeria
    • Pakistan
    • Philippines
    • Poland
    • Romania
    • Russia
    • Thailand
    • Türkiye
    • Ukraine
    • United States
    • Uzbekistan
    • Viet Nam
    • South Africa
    • Zambia
    • Kyrgyzstan
    • Syria
    • Algeria
  • China
    • Overview
    • Northeast region
    • Inner Mongolia
    • Huanghuaihai
    • Loess region
    • Lower Yangtze region
    • Southwest China
    • Southern China
  • Focus and perspectives
    • Global Crop Production Index
    • 2023 Global production outlook
    • Disaster events
    • Update on El Niño or La Niña
  • Annex
    • Annex A. Agroclimatic indicators and BIOMSS
    • Annex B. Quick reference guide to CropWatch indicators, spatial units, and production estimation methodology

Figures

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