Table 2 Root Mean Square Error (RMSE) values of the 13 empirical models for calculating ETo,i at the monthly and annual timescales for Bangladesh. The bold values indicate the optimal model among other models.

From: The optimal alternative for quantifying reference evapotranspiration in climatic sub-regions of Bangladesh

ETo,i

ET0,1

ET0,2

ET0,3

ET0,4

ET0,5

ET0,6

ET0,7

ET0,8

ET0,9

ET0,10

ET0,11

ET0,12

ET0,13

Month/year

Jan

0.8428

0.6065

0.2472

1.2001

3.6024

0.6445

0.7391

1.2053

1.4635

1.2277

0.5630

1.2919

2.1696

Feb

0.1778

0.2978

0.5039

0.5073

3.5384

0.1224

0.1562

0.5903

0.8282

0.3469

0.7474

0.6696

3.0446

Mar

0.8772

1.2064

0.7722

0.3474

3.4644

0.5213

0.6215

0.1384

0.2671

0.7748

2.0732

0.1221

3.9983

Apr

1.2023

1.6439

0.9778

0.5885

3.4517

0.1097

1.0133

0.3032

0.2066

1.5978

3.0151

0.4335

4.4995

May

1.1439

1.6483

0.7211

0.5334

3.4982

0.2788

0.9108

0.2805

0.2841

1.5718

2.8234

0.3941

4.2382

Jun

0.5031

1.0590

0.3541

0.2434

3.5659

0.2386

0.4159

0.5439

0.7337

0.8229

1.7057

0.3194

3.3993

Jul

0.3903

0.7151

0.3648

0.4633

3.5911

0.2045

0.3112

0.6522

0.8568

0.6409

1.4344

0.2689

3.1328

Aug

0.3050

0.6421

0.5209

0.5180

3.5873

0.2181

0.3912

0.5703

0.7650

0.7311

1.6220

0.2223

3.2419

Sep

0.2573

0.3774

0.5441

0.6840

3.5962

0.2237

0.2989

0.6237

0.8279

0.5066

1.4465

0.2449

3.0685

Oct

0.4074

0.1889

0.6452

0.8218

3.5926

0.2847

0.3048

0.5850

0.7819

0.3394

1.4457

0.2989

2.9804

Nov

0.6533

0.3651

0.4289

1.0397

3.5916

0.1981

0.2054

0.8368

1.0631

0.5793

0.6273

0.7131

2.5004

Dec

0.9907

0.7483

0.2197

1.3340

3.6142

0.1554

0.7190

1.2593

1.5035

1.2897

0.5162

1.2602

2.0195

Year

0.1045

0.4872

0.5062

0.4441

3.5580

0.0484

0.2064

0.5317

0.7337

0.2805

1.3012

0.3444

3.1848

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