Comparison of surface soil moisture and surface temperature of land surface analysis with satellite observations

<p>Land surface process analysis plays an important role in understanding the global water cycle. In recent years, the development of remote sensing technology has led to projects to directly observe soil moisture, which is the output of land surface process analysis. In this paper, W5E5 is used as an input meteorological forcing, and the accuracy of the land surface process analysis is verified through the correlation analysis between the model outputs and satellite observations of surface soil moisture and land surface temperature, and the comparison of RMSE (Root Mean Squared Error) between the model outputs and satellite observations. In this paper, SiBUC is used as the land surface process model, and water and heat balance analyses are conducted for three years from 2016 to 2018 at a resolution of 0.5° for the longitudes 180°W to 180°E and latitudes 85°N to 85°S. Surface soil moisture and surface temperature from the L4 product of the SMAP satellite were used for comparison. The results showed that the response relationships between SiBUC and SMAP were similar over a wide area, although the response relationships between shortwave radiation, longwave radiation, temperature, specific humidity and soil moisture were different in some areas, mainly in East Asia. The RMSE of soil moisture for both models was significantly different, with the RMSE being above 0.1 over a wide area.</p>