Table 2 Error metrics for STF-T and GFS models.

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

Variable

MAE

MSE

RMSE

u-Component

 GFS

1.31

2.75

1.66

 STF-T

0.60

0.63

0.80

v-Component

 GFS

1.16

2.38

1.54

 STF-T

0.64

0.69

0.83

Wind speed

 GFS

1.30

2.66

1.63

 STF-T

0.61

0.62

0.79

Wind direction

 GFS

25.99

1845.07

42.95

 STF-T

14.47

707.62

26.60

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