应用ATOVS资料反演大气温湿廓线

APPLYING ATOVS DATA IN RETRIEVING THE TEMPERATURE PROFILE AND WATER VAPOR PROFILE

本文用牛顿迭代的方法反演 NOAA- 15极轨气象卫星 ATOVS资料 ,求解大气温度廓线和水汽廓线。本文利用一阶变分原理从辐射传输方程中得到了大气温度、水汽权重函数的解析形式 ,并改进了传统使用的线性迭代方法 ,利用牛顿非线性迭代方法求解大气表层温度、大气温度廓线及大气水汽廓线 ,并根据大气参量的自相关性 ,将大气温度廓线、大气水汽廓线用经验正交函数 (EOF)的线性组合表示 ,减少了要反演的参数 。

The thesis applies Newtonian nonlinear iteration method to the Radiative Transfer Equation(RTE) to retrieve the temperature profile,water vapor profile and surface skin temperature from the radiances of NOAA 15 weather satellite. This thesis applied one term variational theorem to the RTE to obtain a successive form of temperature component weighting function and water vapor mixing ratio component weighting function.Then traditional linear iteration method was improved,Newtonian nonlinear iteration method was used to retrieve the temperature profile,water vapor profile and surface skin temperature from the radiances of NOAA 15 weather satellite.Based on the self pertinency of atmosphere variables,the Empirical Orthogonal Function(EOF) can express temperature profile and water vapor profile,in order to lessen unknown,to enhance the stability of retrieval.