应用风云气象卫星及融合降水资料改进地表参数模拟

气象卫星资料不仅对天气、气候研究非常重要, 对于地表参数模拟和预报也具有重要意义。本文首次将全国自动站观测、卫星降水估计和地面观测融合降水资料(CMORPH)以及风云二号D星(FY-2D)积雪覆盖率数据应用到了高分辨率陆面资料同化系统(u-HRLDAS)。融合降水资料用于驱动u-HRLDAS, 同时用于计算雪水当量;积雪覆盖率资料作为u-HRLDAS强迫变量。区域模拟结果表明, 积雪覆盖率对于地表反照率、地表温度以及地气交换通量模拟有极其重要的影响。密云站土壤湿度模拟结果表明, 融合降水资料准确度优于全球陆面资料同化系统(GLDAS)再分析资料。小汤山站单点验证结果表明, 应用融合降水资料及卫星积雪覆盖率资料可以改进地表温度及地气交换通量的模拟。

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.