AMSR-E亮温同化系统的数据分析方法研究

Research of Data Analysis Method Used in AMSR-E Brightness Temperature Assimilation System

低频微波卫星观测信号由于其对土壤水分非常敏感,经常被同化到陆面模式来提高土壤水分和其它地表状态变量的模拟和预报。常用的同化算法主要利用统计学,优化理论等数学知识,对改进和理解模型的物理过程意义不大。通过研究发展一个数据分析方法,判断AMSR-E亮温同化系统土壤水分的预报误差,为将来从物理角度定性分析提供基础。

Because of sensitivity to soil moisture,the microwave satellite signal at low-frequency is often assimilated into land surface model to improve forecasting of soil moisture and other surface state variables.Assimilation algorithms use mainly statistics,optimization theory and other mathematical knowledge,which do not help to improve description of physical processes of models.This study is to develop a data analysis method to judge the errors of soil moisture predicated by assimilation,which is the prior research when error will be returned to land surface model to correct until they are in line with the satellite observations.