Table 5 Correction factors for each Köppen-Geiger climate classification with summaries of errors between observed VPD (VPDAMF) and VPD scaled by KG climate.

From: A high resolution, gridded product for vapor pressure deficit using Daymet

KG code

median

mean

1 s.d.

MBE

MAE

RMSE

uRMSE

rP

BWh

0.498

0.476

0.163

−0.034

0.352

0.451

0.450

0.924

BWk

0.584

0.592

0.209

−0.014

0.265

0.362

0.362

0.930

BSh

0.439

0.428

0.156

0.013

0.357

0.494

0.493

0.848

BSk

0.495

0.495

0.171

−0.045

0.254

0.347

0.343

0.925

Csa

0.356

0.381

0.168

−0.040

0.279

0.395

0.393

0.840

Csb

0.404

0.400

0.205

−0.055

0.158

0.233

0.227

0.930

Cwa

0.429

0.465

0.433

−0.014

0.250

0.326

0.325

0.327

Cfa

0.397

0.433

0.271

−0.023

0.220

0.301

0.300

0.758

Cfb

0.273

0.281

0.199

−0.058

0.119

0.201

0.192

0.913

Dsa

0.367

0.368

0.160

−0.125

0.280

0.434

0.415

0.929

Dsb

0.520

0.571

0.264

0.030

0.156

0.220

0.218

0.951

Dwb

0.515

0.631

0.727

−0.041

0.257

0.342

0.339

0.800

Dfa

0.400

0.440

0.292

−0.167

0.151

0.223

0.222

0.847

Dfb

0.398

0.440

1.107

−0.015

0.145

0.212

0.211

0.852

Dfc

0.504

0.580

1.452

−0.023

0.125

0.177

0.175

0.883

ET

0.567

1.259

19.181

−0.024

0.116

0.161

0.160

0.842

  1. Statistics include mean bias error (MBE), mean absolute error (MAE), root mean squared error (RMSE), unbiased RMSE (uRMSE), and the Pearson correlation coefficient. We applied the median correction factors in the generation of the VPD maps.