Table S2.

Performance statistics for meteorological fields

Variable	Data pairs	Simulated mean	Observed mean	MB	RMSE	NMB, %	NME, %	R
2-m temperature, °C	48,063	−2.7	−2.1	−0.7	3.5	−31.4	126.8	0.93
2-m relative humidity, %	51,799	58.6	59.4	−0.8	19.0	−1.3	24.7	0.55
10-m wind speed, m/s	51,800	4.3	2.8	1.5	2.8	52.9	75.8	0.59
10-m wind direction, °	51,791	188.1	191.1	−3.0	137.6	−1.6	47.5	0.32
Precipitation, mm	5,369	0.3	1.1	−0.8	4.6	−71.0	92.0	0.54

The statistical parameters are as follows:

MB: $\text{MB}=\frac{1}{N}{\displaystyle \sum _{i=1}^N}(Si{m}_i-Ob{s}_i)$;

RMSE: $\text{RMSE}={\left[\frac{1}{N}{\displaystyle \sum _{i=1}^N}{(Si{m}_i-Ob{s}_i)}^2\right]}^{\frac{1}{2}}$;

NMB: $\text{NMB}=\frac{{{\displaystyle \sum }}_{i=1}^N\left(Si{m}_i-Ob{s}_i\right)}{{{\displaystyle \sum }}_{i=1}^{N}Ob{s}_i}\times 100\%$;

Normalized mean error: $\text{NME}=\frac{{{\displaystyle \sum }}_{i=1}^N\left|Si{m}_i-Ob{s}_i\right|}{{{\displaystyle \sum }}_{i=1}^{N}Ob{s}_i}\times 100\%$;

Correlation coefficient: $R=\frac{{{\displaystyle \sum }}_{i=1}^N\left(Si{m}_i-\overline{Sim}\right)\left(Ob{s}_i-\overline{Obs}\right)}{{\left\{{{\displaystyle \sum }}_{i=1}^N{\left(Si{m}_i-\overline{Sim}\right)}^2{{\displaystyle \sum }}_{i=1}^N{\left(Ob{s}_i-\overline{Obs}\right)}^2\right\}}^{\frac{1}{2}}}$.