Improvement of Land Surface Parameters Simulation Using Fengyun Meteorological Satellite and Fusing Precipitation Data

Satellite data is important in weather and climate research and in land surface parameter simulation and prediction. This paper expands the application fields of Fengyun meteorological satellite data by using fused data of precipitation and fractional snow cover to an urbanized high-resolution land data assimilation system and improves the simulation of land surface parameters and fluxes. The fused precipitation data is used to drive the urbanized high resolution data assimilation system and to compute the snow water equivalent. The snow cover fraction (SCF) data is used as the forcing variable of the model. The regional simulation results indicate that SCF is crucial in the simulation of surface albedo, land surface temperature, and land-atmosphere interaction fluxes. The soil moisture simulation results of Miyun station indicate that the fused precipitation data are more effective than those of the global land data assimilation system. The single site validation results of Xiaotangshan station indicate that simulation of land surface temperature and land-atmosphere interaction fluxes can be improved by fusing precipitation and SCF data retrieved from the Fengyun satellite.