Table 3 The evaluation of ANUSPLIN interpolated results in the monthly series.

From: A 1 km monthly dataset of historical and future climate changes over China

Variable

Criteria

Month

Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec

tas

RMSE

0.384

0.354

0.322

0.308

0.296

0.264

0.271

0.280

0.314

0.340

0.348

0.380

MAE

0.272

0.253

0.232

0.223

0.213

0.187

0.193

0.204

0.233

0.252

0.258

0.279

R2

0.998

0.998

0.997

0.996

0.995

0.995

0.995

0.995

0.995

0.997

0.998

0.998

tasmax

RMSE

0.678

0.778

0.604

0.725

0.532

0.517

0.558

0.538

0.637

0.559

0.590

0.587

MAE

0.485

0.539

0.431

0.470

0.381

0.383

0.419

0.406

0.427

0.407

0.426

0.429

R2

0.992

0.986

0.983

0.955

0.976

0.978

0.974

0.977

0.968

0.979

0.988

0.992

tasmin

RMSE

1.184

1.106

1.093

0.916

1.074

0.950

0.643

0.778

0.995

1.057

1.222

1.452

MAE

0.857

0.812

0.794

0.682

0.802

0.686

0.456

0.571

0.734

0.805

0.892

1.074

R2

0.991

0.991

0.988

0.985

0.973

0.973

0.986

0.984

0.980

0.984

0.987

0.984

pr

RMSE

6.353

5.392

4.528

4.726

8.055

11.945

12.774

12.124

8.703

8.175

9.169

8.263

MAE

1.651

1.614

2.090

2.616

4.323

6.752

8.138

7.589

4.857

2.850

2.128

1.524

R2

0.957

0.975

0.994

0.994

0.989

0.986

0.963

0.970

0.975

0.966

0.928

0.914

sunp

RMSE

2.563

2.094

1.783

1.740

1.773

2.062

2.250

2.277

2.011

2.123

2.303

2.572

MAE

1.745

1.436

1.276

1.300

1.358

1.581

1.728

1.746

1.541

1.571

1.663

1.778

R2

0.982

0.988

0.990

0.986

0.981

0.970

0.935

0.920

0.971

0.979

0.975

0.975

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