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Table 3 Statistical results for regression models’ estimations of cloudless DLR and the statistically significant models are in italics

From: Deep learning and regression modelling of cloudless downward longwave radiation

Model

Training phase (n = 143)

Testing phase (n = 62)

r

RMSE

MBE

ts

r

RMSE

MBE

ts

Brunt [17]

0.7985

13.2107

− 4.4736

4.2887

0.7330

13.5892

− 4.1961

2.5356

Efimova [35]

0.8086

28.0357

25.1381

20.1708

0.7496

28.6559

25.5969

15.5186

Swinbank [111]

0.2981

20.6139

1.2239

0.7088

0.1184

21.0120

1.3252

0.4935

Idso and Jackson [49]

0.2986

21.4172

5.4152

3.1251

0.1183

21.9029

5.5732

2.0550

Maykut and Church [69]

0.2994

35.5477

− 25.8874

12.6628

0.1182

32.6729

− 26.2765

10.5688

Brutsaert [18]

0.8047

13.7358

5.5704

5.3054

0.7374

14.4938

5.9371

3.5071

Satterlund [99]

0.2998

23.8285

12.8603

7.6663

0.1181

23.8656

12.7461

4.9339

Idso [48]

0.3013

41.4920

36.3682

21.7740

0.1179

40.3991

36.2112

14.0946

Idso [48]

0.8260

30.0430

26.9126

24.1021

0.7749

30.7321

27.4740

15.5819

Prata [89]

0.7983

13.1831

4.3305

4.1589

0.7316

13.7783

4.6229

2.7818

Guest [42]

0.2994

23.6458

− 12.6583

7.5292

0.1182

23.7629

− 12.8264

5.0079

Iziomon et al. [51]

0.8066

12.9193

− 3.9510

2.8919

0.7431

13.3529

− 3.6223

2.8919

Present model

0.8275

11.5847

0.2412

0.2490

0.7785

11.8883

0.3393

0.2230

  1. Where n is the total number of observations