Table 1 Error metrics of the STF-T and GFS models for each Spatial point.

From: A deep learning approach for improving spatiotemporal resolution of numerical weather prediction forecasts

Point

Metric

u-Component

v-Component

Wind speed

Wind direction

GFS

STF-T

GFS

STF-T

GFS

STF-T

GFS

STF-T

32.50 N−16.75 E

MAE

0.92

0.44

0.87

0.48

1.16

0.46

24.15

13.28

MSE

1.27

0.34

1.08

0.38

1.77

0.36

1542.04

573.44

RMSE

1.13

0.58

1.04

0.62

1.33

0.6

39.27

23.95

32.75 N−16.75 E

MAE

1.57

0.69

1.46

0.75

1.47

0.70

36.30

17.53

MSE

3.93

0.83

3.90

0.90

3.42

0.81

3315.76

921.92

RMSE

1.98

0.91

1.98

0.95

1.85

0.90

57.58

30.36

32.50 N−17.00 E

MAE

1.29

0.68

1.43

0.68

1.63

0.66

17.59

13.28

MSE

2.79

0.79

3.11

0.79

3.93

0.73

1126.92

673.25

RMSE

1.67

0.89

1.76

0.89

1.98

0.86

33.57

25.95

32.75 N−17.00 E

MAE

1.45

0.59

0.88

0.63

0.96

0.60

25.90

13.78

MSE

3.00

0.58

1.43

0.67

1.54

0.59

1395.58

661.88

RMSE

1.73

0.76

1.20

0.82

1.24

0.77

37.36

25.73

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