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Annex A. Agroclimatic indicators and BIOMSSAnnex

Authors: MH18174088459 | Edit: xucong

Annex A. Agroclimatic indicators and BIOMSS

Table A.1July 2023 - October 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)

897

-19

23.0

0.8

1203

4

1372

-4

C02

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

1018

-13

23.4

0.6

1145

1

1353

-6

C03

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

338

-28

24.5

0.7

1270

2

844

-12

C04

Equatorial   central Africa_zone4 (Angola, Zambia, and Malawi)

35

-30

21.2

0.8

1355

-1

447

-3

C05

East   African highlands

498

-35

18.8

1.2

1245

6

762

-14

C06

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

599

-24

26.3

1.3

1187

5

1163

-11

C07

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

1342

0

24.5

0.6

1026

5

1485

2

C08

Horn   of Africa

115

-34

21.9

0.9

1287

3

572

-6

C09

Madagascar(main)

190

10

20.8

1.1

1140

1

667

6

C10

SW   Madagascar

30

-19

22.5

0.3

1207

-1

435

-3

C11

North   Africa Mediterranean

28

-67

24.6

1.2

1355

1

501

-13

C12

Sahel

463

-22

27.9

1.1

1234

3

971

-9

C13

Southern   Africa_zone1 (West Angolan coast)

80

-46

22.9

0.4

1310

1

524

-15

C14

Southern   Africa_zone10 (Middle part of South Africa)

55

7

14.2

-0.2

1172

-2

339

-1

C15

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

104

26

23.0

0.7

1156

-2

581

9

C16

Southern   Africa_zone3 (South Zambia)

10

1

22.2

0.8

1354

-3

434

2

C17

Southern   Africa_zone4 (Zimbabwe)

64

135

20.3

0.5

1258

-4

465

15

C18

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

37

14

20.6

0.4

1272

-2

428

3

C19

Southern   Africa_zone6 (West Namibia coast)

4

-81

21.2

0.4

1425

0

391

-6

C20

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

8

-47

15.7

0.3

1228

-2

268

-7

C21

Southern   Africa_zone8 (South Africa and southwest Namibia)

104

-14

13.4

-0.3

1041

-1

413

-8

C22

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

108

2

14.2

0.0

1121

-1

425

-1

C23

S.   Africa Western Cape

220

5

11.7

-0.8

932

-2

545

-3

C24

British   Columbia To Colorado

195

-29

13.1

0.5

1134

-1

548

-12

C25

America   northern great plains_canada

147

-34

15.1

0.8

974

-3

529

-18

C26

America   northeastern great plains

259

-14

20.2

1.0

1095

-3

768

-6

C27

America   northwestern great plains

162

-24

18.3

0.4

1131

-2

600

-13

C28

Nnorth   of high plain

178

-41

23.7

1.4

1242

2

699

-19

C29

America   corn belt

381

4

18.1

0.5

1000

-4

895

1

C30

America   cotton belt_Mexican coastal plain

269

-31

27.2

1.8

1249

1

799

-15

C31

America   cotton belt_lower Mississippi

295

-43

26.0

1.6

1187

0

896

-19

C32

America   cotton belt_high plain

352

-29

23.4

0.7

1197

1

971

-10

C33

Sub_boreal   North America

265

-11

12.8

0.8

857

-1

667

-6

C34

America   West Coast

137

-4

18.0

-0.2

1222

-4

542

3

C35

Sierra   Madre

820

-35

21.1

1.5

1250

3

1020

-15

C36

SW   Mexico and N. Mexico highlands

114

-62

22.4

1.3

1306

0

590

-23

C37

Northern   South and Central America

1208

-9

24.7

1.1

1218

1

1350

-3

C38

Caribbean

643

-12

27.3

1.0

1357

-1

1278

-7

C39

Central_Northern   Andes

108

71

15.1

0.2

1300

-4

418

19

C40

Central_Northern   Andes

333

-36

15.8

1.4

1185

0

579

-8

C41

Brazil   Nordeste

52

-46

25.5

1.2

1272

4

530

-8

C42

Central_Eastern   Brazil

74

-71

26.1

2.7

1145

1

519

-28

C43

Amazon

179

-56

27.7

2.0

1207

1

689

-27

C44

Central_North   Argentina

140

-9

18.6

1.1

955

-8

502

-2

C45

SE   Brazil_Concepcion_Bahia Blanca

497

17

16.3

1.0

833

-6

738

-2

C46

SW   Southern Cone

815

21

6.4

-0.1

715

-4

598

7

C47

Semi_arid   Southern Cone

104

5

11.0

0.3

983

-5

355

4

C48

Caucasus

152

-23

19.4

0.8

1258

1

574

-5

C49

Central   Asia Pamir mountains

141

-23

18.1

0.5

1375

-1

523

-2

C50

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

94

28

23.5

0.8

1291

-2

521

6

C51

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

15

-57

28.0

1.6

1383

-2

502

-4

C52

Gansu-Xinjiang   (China)

270

31

16.4

0.6

1139

-2

590

6

C53

Hainan   (China)

1421

8

26.3

0.5

1191

-1

1512

1

C54

Huanghuaihai   (China)

477

8

23.6

1.6

1119

5

955

4

C55

Inner   Mongolia (China)

249

-1

17.5

1.6

1098

1

671

-2

C56

Loess   region (China)

358

-5

18.1

1.3

1134

5

810

-1

C57

Lower   Yangtze (China)

935

13

23.7

0.6

1043

-2

1302

6

C58

Northeast   China

433

17

16.5

0.9

961

-4

852

7

C59

Qinghai-Tibet   (China)

987

-14

12.7

1.4

1050

6

752

1

C60

Southern   China

1391

14

23.4

0.7

1074

-1

1441

4

C61

Southwest   China

844

-3

19.7

0.9

1001

4

1181

3

C62

Taiwan   (China)

1633

71

25.2

-1.0

1049

-13

1201

4

C63

East   Asia

680

3

18.3

1.4

968

2

1005

3

C64

Southern   Himalayas_zone111 (Vietnam, Laos, Myanmar)

1229

-7

23.7

1.0

1130

4

1445

1

C65

Southern   Himalayas_zone112 (Myanmar)

1039

-7

22.2

0.9

1092

6

1384

1

C66

Southern   Himalayas_zone12 (India, Myanmar, Bangladesh,Bhutan)

1970

-9

23.9

0.7

1003

7

1404

1

C67

Southern   Himalayas_zone222 (Nepal, India)

1117

0

25.5

0.6

1190

6

1284

6

C68

Southern   Asia

1305

4

26.1

0.5

1108

4

1346

0

C69

Southern   Japan and Korea

837

-12

23.0

1.4

1123

8

1195

-4

C70

Mongolia   region (Western of Mongolia)

188

22

7.7

0.8

1083

-5

504

10

C71

S.   Asia Punjab to Gujarat

837

11

28.5

-0.3

1153

-1

1064

9

C72

SE   Asia islands_zone1 (Indonesia, Malaysia)

878

-2

25.1

0.4

1238

2

1248

-4

C73

SE   Asia islands_zone2 (Indonesia, Malaysia)

1196

-7

25.3

0.5

1227

2

1446

-2

C74

SE   Asia islands_zone3 (Indonesia, Papua New Guinea)

1027

-21

23.4

0.3

1082

2

1167

-8

C75

SE   Asia mainland_zone1 (Myanmar, Bangladesh)

1496

-9

26.6

0.6

1165

5

1513

-2

C76

SE   Asia mainland_zone2 (Thailand, Myanmar, Laos)

1534

13

25.2

0.5

1139

4

1535

4

C77

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

306

-16

12.7

1.7

850

4

692

-9

C78

Eastern   Siberia

264

-10

11.4

1.5

953

0

629

-5

C79

Eastern   Central Asia (Eastern of Mongolia)

116

-58

25.3

0.1

1288

0

628

-24

C80

North   Australia_zone1 (Timor_Leste, Indonesia, Papua New Guinea)

75

-23

22.3

0.6

1250

2

497

-5

C81

North   Australia_zone2 (Northern Australia)

140

-45

13.4

1.3

978

8

484

-21

C82

Australia   Queensland to Victoria _zone1 (Southeast Australia_coast)

77

-54

15.2

1.3

1011

8

387

-26

C83

Australia   Queensland to Victoria _zone21 (Southeast Australia Marrin Darling)

193

-41

12.3

0.4

754

8

547

-24

C84

Australia   Queensland to Victoria _zone22 (Southeast Australia Adeleid)

105

-39

14.3

1.3

937

6

424

-20

C85

Australia   Nullarbor_Darling_zone1 (Southwest Australia)

210

-28

13.7

0.8

877

5

567

-17

C86

Australia   Nullarbor_Darling_zone2 (Southwest Australia)

350

-9

8.2

-0.1

686

-1

625

-5

C87

New   Zealand

453

15

11.0

0.5

688

-4

750

5

C88

Boreal   Eurasia

239

-9

15.6

1.2

852

3

657

-4

C89

Ukraine   to URAL Mountains

175

9

20.9

1.3

1257

0

612

0

C90

Mediterranean   Europe and Turkey

290

-2

17.4

1.8

968

1

731

0

C91

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

338

0

21.0

1.4

1228

1

827

3

C92

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

77

-51

21.8

2.4

1113

5

506

-15

C93

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

85

-36

20.9

1.8

1231

1

525

-9

C94

W.   Europe__zone3 (Ebro River, Zaragoza, Spain)

290

-5

20.8

2.1

1148

0

751

-2

C95

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

487

16

20.5

1.5

1078

-2

978

9

C96

W.   Europe_zone5 (North Italy)

737

20

13.3

2.0

1041

0

900

11

C97

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

414

16

16.1

1.2

857

0

852

8

C98

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

67

-69

22.9

2.5

1208

3

532

-22

C99

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

178

-40

20.9

2.3

1210

2

644

-17

C100

W.   Europe_zone9 (North Greece and North Macedonia)

439

-7

8.0

0.3

602

-2

633

-1

C101

Boreal   North America

357

48

14.0

1.1

876

-2

774

26

C102

URAL   to Altai Mountains

45

-57

16.4

1.2

1069

6

331

-27

C103

Australian   Desert (Central Australia)

18

-40

29.5

1.1

1436

-1

443

-1

C104

Old   World Deserts

183

3

0.6

1.4

594

-6

324

7

C105

Sub   Arctic America (IceLand)

1430

3

25.5

0.7

1169

6

1579

3

 

 

Table A.2  July 2023 - October 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 (%)

ARG

Argentina

295

14

15.0

0.7

851

-7

555

-3

AUS

Australia

120

-43

14.9

1.2

997

7

451

-21

BGD

Bangladesh

1999

0

27.3

0.6

1148

5

1636

1

BRA

Brazil

155

-49

25.8

2.3

1148

0

582

-25

KHM

Cambodia

1363

0

26.0

0.6

1178

8

1625

3

CAN

Canada

311

-6

13.8

0.9

893

-3

675

-4

CHN

China

808

7

20.7

0.9

1047

0

998

4

EGY

Egypt

6

-24

26.8

1.2

1352

-2

372

-2

ETH

Ethiopia

646

-29

18.9

1.2

1255

6

868

-10

FRA

France

339

11

17.7

1.7

999

0

800

5

DEU

Germany

360

13

16.0

1.3

879

0

787

3

IND

India

1261

-1

26.1

0.4

1118

5

1304

3

IDN

Indonesia

845

-19

24.6

0.4

1199

3

1178

-8

IRN

Iran

42

-27

23.2

0.7

1403

-2

445

-4

KAZ

Kazakhstan

321

73

15.8

0.8

968

-4

729

32

MEX

Mexico

770

-28

23.9

1.4

1273

1

1008

-15

MMR

Myanmar

1531

-5

24.3

0.7

1068

4

1435

0

NGA

Nigeria

663

-28

26.6

1.5

1173

7

986

-20

PAK

Pakistan

335

-3

25.4

0.6

1334

-1

731

5

PHL

Philippines

1768

3

25.6

0.3

1184

-2

1546

-1

POL

Poland

275

-6

16.9

1.7

864

1

734

0

ROU

Romania

128

-41

19.8

2.5

1113

5

576

-12

RUS

Russia

275

-1

14.4

1.1

849

1

687

0

ZAF

South Africa

108

3

14.3

-0.1

1112

-1

423

-1

THA

Thailand

1356

12

25.7

0.7

1183

7

1576

5

TUR

Turkey

116

-13

20.3

1.4

1302

1

560

1

GBR

United Kingdom

513

12

13.6

0.6

676

3

893

10

UKR

Ukraine

158

-22

18.6

1.9

1005

5

580

-6

USA

United States

279

-22

20.9

0.8

1140

-1

739

-10

UZB

Uzbekistan

42

12

22.1

0.1

1336

-2

481

1

VNM

Vietnam

1317

-7

24.7

0.9

1158

4

1488

0

AFG

Afghanistan

34

-27

19.7

0.5

1442

0

394

-3

AGO

Angola

92

-38

22.3

0.6

1334

0

509

-10

BLR

Belarus

240

-13

16.1

1.9

847

6

670

-4

HUN

Hungary

212

5

20.2

2.1

1049

2

710

9

ITA

Italy

332

-2

20.8

1.8

1166

1

764

-2

KEN

Kenya

135

-59

20.8

1.2

1233

5

599

-18

LKA

Sri_Lanka

1238

10

26.5

0.3

1171

-5

1240

-1

MAR

Morocco

49

-43

23.6

0.9

1358

0

527

-8

MNG

Mongolia

277

1

10.8

1.5

1013

-3

639

3

MOZ

Mozambique

92

33

22.6

0.6

1131

-3

552

8

ZMB

Zambia

19

1

22.2

0.7

1364

-2

448

3

KGZ

Kyrgyzstan

262

11

10.7

-0.8

1277

-1

531

2

SYR

Syria

17

-48

28.2

1.5

1388

-2

505

-4

DZA

Algeria

16

-84

24.8

1.7

1351

3

487

-20

LBN

Lebanon

23

-47.2

23.4

1

1415

-2

502

-2

MUS

Mauritius

203

34

23.4

1.2

1184

7

848

17

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 July 2023 - October 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 (%)

Buenos Aires

166

-31

11.8

0.3

818

-3

468

-18

Chaco

302

14

19.1

1.1

833

-9

707

6

Cordoba

108

-15

14.6

0.5

900

-9

400

-9

Corrientes

778

73

17.4

0.9

769

-10

955

12

Entre Rios

391

8

14.9

0.8

788

-8

687

-6

La Pampa

142

-17

12.3

0.0

830

-7

445

-6

Misiones

961

56

18.9

1.5

834

-6

1086

8

Santiago Del Estero

195

34

18.0

0.5

916

-9

561

12

San Luis

95

-13

12.9

0.2

926

-7

369

-6

Salta

141

-18

17.7

1.6

1037

-7

516

-2

Santa Fe

288

16

16.3

0.8

828

-9

629

1

Tucuman

154

66

15.0

1.1

1025

-11

503

25

 

Table A.4  July 2023 - October 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

100

-50

14.0

1.5

1033

9

413

-22

South Australia

111

-49

13.6

0.5

874

8

407

-30

Victoria

208

-31

11.2

0.6

779

8

525

-17

W. Australia

149

-32

15.2

0.9

952

5

482

-18

 

Table A.5  July 2023 - October 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

25

-59

27.4

0.8

1408

3

542

-10

Goias

10

-95

27.9

3.2

1207

-2

438

-35

Mato Grosso Do Sul

48

-84

27.1

3.6

1078

0

473

-39

Mato Grosso

11

-95

28.8

2.7

1188

1

437

-39

Minas Gerais

56

-78

23.9

2.9

1130

1

491

-26

Parana

339

-38

20.4

2.6

963

-1

732

-22

Rio Grande Do Sul

1006

61

15.9

0.7

775

-9

1055

8

Santa Catarina

801

23

16.3

1.3

798

-7

1062

9

Sao Paulo

75

-78

23.9

3.2

1087

3

490

-38

 

Table A.6  Canada,July 2023 - October 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

202

-12

13.4

1.1

962

0

570

-8

Manitoba

228

-20

14.5

0.5

845

-8

662

-9

Saskatchewan

143

-37

14.5

0.8

945

-2

516

-19

 

Table A.7  India, July 2023 - October 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

997

12

26.7

0.5

1132

4

1317

2

Assam

2508

-9

25.1

0.4

990

9

1505

1

Bihar

1497

11

27.5

0.4

1167

5

1547

8

Chhattisgarh

1317

11

25.7

0.4

1155

8

1470

6

Daman and Diu

1342

-13

27.8

0.2

1156

0

1167

-11

Delhi

1422

111

27.8

-0.8

1211

4

1434

26

Gujarat

1061

-6

27.6

0.0

1051

-2

1084

-8

Goa

2429

-12

25.5

0.6

1101

7

1589

1

Himachal Pradesh

686

-32

20.0

0.7

1241

5

898

-5

Haryana

1003

60

28.4

-0.5

1228

5

1269

22

Jharkhand

1400

13

26.2

0.5

1182

4

1553

5

Kerala

2210

8

24.1

0.1

1070

2

1465

-1

Karnataka

841

-22

24.3

0.8

1027

7

1109

-8

Meghalaya

2459

-7

24.2

0.0

961

5

1468

0

Maharashtra

1269

0

25.0

0.3

1012

2

1267

-3

Manipur

1339

-33

21.9

0.5

995

12

1383

1

Madhya Pradesh

1015

-11

25.8

0.3

1134

9

1340

3

Mizoram

1673

-18

23.5

0.1

1097

10

1549

2

Nagaland

2127

-6

20.9

-0.6

889

2

1347

-1

Orissa

1425

6

26.4

0.7

1173

6

1517

3

Puducherry

1156

-23

27.9

0.3

1211

6

1476

3

Punjab

796

19

28.0

-0.8

1215

2

1123

9

Rajasthan

909

23

28.1

-0.5

1150

1

1148

15

Sikkim

1265

45

20.6

3.2

1035

-5

1058

16

Tamil Nadu

861

3

27.1

0.7

1136

4

1240

5

Tripura

1392

-27

26.4

0.5

1133

10

1598

-1

Uttarakhand

669

-36

22.3

1.8

1238

10

935

-6

Uttar Pradesh

1032

-3

27.9

0.4

1202

8

1410

8

West Bengal

2062

12

27.4

0.7

1157

3

1630

3

 

 

 

 

 

Table A.8  Kazakhstan, July 2023 - October 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

311

83

15.3

1.3

882

-6

752

38

Karagandinskaya

251

65

15.2

1.8

945

-7

699

35

Kustanayskaya

371

116

15.1

0.5

870

-5

848

55

Pavlodarskaya

341

79

15.6

1.6

879

-4

825

44

Severo kazachstanskaya

351

61

14.4

1.3

823

-1

803

33

Vostochno kazachstanskaya

399

62

14.4

1.3

1042

-3

792

27

Zapadno kazachstanskaya

192

46

18.3

0.3

969

-4

609

15

 

Table A.9 Russia, July 2023 - October 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.

328

15

13.5

0.8

805

0

752

8

Chelyabinskaya Oblast

361

48

13.5

0.8

810

-1

795

25

Gorodovikovsk

86

-55

21.5

1.4

1137

6

549

-19

Krasnodarskiy Kray

201

-33

16.4

1.2

1006

5

650

-13

Kurganskaya Oblast

289

24

14.1

1.5

780

1

736

18

Kirovskaya Oblast

278

-12

13.1

1.2

711

2

696

-5

Kurskaya Oblast

229

0

15.9

1.1

912

6

627

-1

Lipetskaya Oblast

252

14

15.4

0.6

856

2

635

2

Mordoviya Rep.

264

-2

14.2

0.4

785

-3

658

-4

Novosibirskaya Oblast

377

39

13.5

1.7

783

1

823

21

Nizhegorodskaya O.

340

19

13.8

0.6

739

-2

728

4

Orenburgskaya Oblast

251

33

15.7

0.4

889

-3

670

16

Omskaya Oblast

357

46

13.7

1.7

735

-3

811

30

Permskaya Oblast

288

-13

13.0

1.6

722

5

728

0

Penzenskaya Oblast

212

-16

14.5

0.4

834

-1

604

-10

Rostovskaya Oblast

131

-24

20.0

1.0

1080

4

584

-7

Ryazanskaya Oblast

311

20

14.7

0.4

778

-2

699

3

Stavropolskiy Kray

141

-50

20.4

1.2

1138

6

605

-23

Sverdlovskaya Oblast

254

-10

13.0

1.7

751

5

668

-1

Samarskaya Oblast

190

-20

15.6

0.9

850

-1

583

-11

Saratovskaya Oblast

177

-9

16.4

0.4

931

-1

571

-5

Tambovskaya Oblast

246

10

15.4

0.3

854

-1

625

-2

Tyumenskaya Oblast

324

29

13.4

1.6

728

0

747

18

Tatarstan Rep.

231

-21

14.4

1.1

773

0

636

-11

Ulyanovskaya Oblast

169

-37

14.9

0.9

814

-2

543

-21

Udmurtiya Rep.

263

-14

13.6

1.5

726

2

701

-2

Volgogradskaya O.

137

-14

18.4

0.7

982

-1

541

-4

Voronezhskaya Oblast

201

2

16.7

0.6

927

1

588

-3

 

Table A.10  United States, July 2023 - October 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

376

-6

24.5

1.1

1169

-1

944

-4

California

70

14

20.1

-0.2

1320

-6

516

6

Idaho

129

-3

15.6

0.2

1188

-5

533

3

Indiana

291

-6

20.0

0.3

1064

-5

852

-1

Illinois

343

4

20.8

0.7

1081

-5

897

3

Iowa

275

-9

19.9

1.0

1105

-2

802

-2

Kansas

186

-41

24.2

1.6

1225

2

750

-16

Michigan

348

6

16.7

0.1

938

-6

831

0

Minnesota

263

-9

17.4

1.0

974

-5

721

-7

Missouri

292

-15

22.3

0.9

1140

-2

849

-7

Montana

148

-18

15.7

0.3

1123

-3

552

-9

Nebraska

158

-39

21.4

1.2

1191

0

658

-17

North Dakota

217

-12

17.2

0.3

1022

-4

673

-6

Ohio

279

-6

18.9

0.0

1063

-2

834

-1

Oklahoma

287

-15

25.9

1.5

1224

1

858

-8

Oregon

160

4

15.9

0.0

1157

-4

537

7

South Dakota

208

-16

19.7

0.8

1130

-1

668

-12

Texas

239

-37

27.9

2.0

1267

1

763

-18

Washington

184

-13

16.0

0.3

1080

-3

553

0

Wisconsin

277

-3

17.6

1.1

977

-6

734

-4

 

 

Table A.11  China, July 2023 - October 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

756

8

23.7

0.7

1035

1

1177

5

Chongqing

937

8

21.5

0.6

1002

2

1278

5

Fujian

1179

24

23.5

0.7

1034

-5

1398

7

Gansu

353

-15

15.1

1.1

1088

6

765

-1

Guangdong

1548

25

25.3

0.5

1065

-9

1545

5

Guangxi

1292

9

24.1

0.7

1109

-1

1491

5

Guizhou

775

-13

20.3

0.8

1005

4

1229

-1

Hebei

320

-3

21.0

2.1

1121

3

769

-3

Heilongjiang

416

26

15.7

0.7

923

-5

846

10

Henan

569

26

23.2

1.1

1106

5

1098

16

Hubei

714

4

22.3

0.7

1056

2

1178

5

Hunan

760

-3

23.3

0.7

1055

-1

1252

4

Jiangsu

816

18

24.1

0.9

1045

2

1162

3

Jiangxi

951

17

23.9

0.3

1031

-5

1357

9

Jilin

459

14

16.7

0.8

985

-4

864

4

Liaoning

449

4

19.4

1.4

1040

0

897

4

Inner Mongolia

252

8

16.5

1.3

1062

-1

660

0

Ningxia

174

-25

17.6

1.3

1152

4

615

-9

Shaanxi

548

0

18.8

1.1

1083

4

900

1

Shandong

407

-9

23.5

1.7

1143

7

919

-1

Shanxi