Table 4.
Statistic Results of the Observed and Modeled Meteorological Variables
| Mean |
|||||||
|---|---|---|---|---|---|---|---|
| Meteorological variables | Number | Obs | Sim | Bias | MAE | RMSE | R |
| Temperature at reference height (°C) | 15677 | 11.3 | 10.6 | −0.7 | 1.6 | 2.0 | 0.98 |
| Surface temperature (°C) | 15677 | 9.7 | 9.6 | −0.1 | 1.8 | 2.4 | 0.98 |
| Relative humidity (%) | 15677 | 69.1 | 71.3 | 2.2 | 8.5 | 11.1 | 0.80 |
| Daytime solar radiation (W/m2) | 8109 | 308.4 | 275.1 | −33.3 | 91.0 | 129.4 | 0.89 |
| Friction velocity (cm/s) | 15677 | 47.2 | 81.3 | 34.1 | 38.4 | 48.3 | 0.74 |
| Precipitation rate (0.1 mm/hr) | 15677 | 0.57 | 0.01 | −0.56 | 0.58 | 4.51 | 0.17 |
| Surface pressure (hPa) | 15677 | 989.8 | 987.0 | −2.8 | 2.8 | 2.9 | 0.99 |
| Winter snow depth (cm) | 5746 | 15.2 | 7.2 | 8.0 | 9.0 | 16.6 | 0.64 |
Note. Note that Obs is observation, Sim is simulation, MAE is mean absolute error, RMSE is root-mean-square error, R is the correlation coefficient between observation and model simulation, daytime is 0600–1800 (LST), and winter is November–April. Equations for the statistic parameters are shown in equations (S1–S4). LST = local standard time.