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GFS ground temperature simulation data in China's mainland and spatial and temporal distribution characteristics of errors

The use of the Global Forecast System (GFS) to simulate ground temperature data in a region has gradually become a research hotspot in this field. In order to study the applicability of this hot spot in mainland China and the spatial and temporal distribution of errors, this paper uses a bilinear interpolation method to process the GFS ground temperature numerical simulation data of the corresponding time series and obtain the GFS ground temperature data that are spatially and temporally aligned with the ground temperature observation data of national automatic stations. Then, the applicability and spatial and temporal distribution of errors of the GFS ground temperature simulations in mainland China are evaluated. The study shows that the forecast errors of GFS surface temperature simulation data have the spatial distribution characteristics of higher accuracy in eastern and central-eastern China and lower accuracy in western and central-western China, and the temporal distribution characteristics of lower accuracy in daytime and higher accuracy in nighttime.