大气廓线物理反演的最优化方法进展

A Review of Optimal Algorithm for Physical Retrieval of Atmospheric Profiles

从最优化数学理论角度对大气廓线物理反演以及卫星辐射率资料直接同化中的最优化算法进行了回顾。分析了各种方法的优点和缺点、联系和差别。总结了卫星大气遥感反演问题的求解思路。对大气廓线反演研究中几种主要的目标函数和寻优策略进行了分析,着重分析了目前作为各数值预报中心和卫星数据处理中心业务数值产品核心算法的牛顿非线性迭代法的不足之处,并对其改进途径进行了探讨。引入了Levenberg-Marquardt方法及信赖域方法用于大气廓线反演,使反演算法的收敛性质得到改善。

Methods for physical retrieval of atmospheric profiles and direct assimilation of satellite radiances are reviewed on optimization theory basis.Advantages and disadvantages,differences and relationships between various methods are discussed.General strategies for optimal inversion of atmospheric profiles from satellite data are introduced.A few important special objective functions and search algorithms currently used in the atmospheric iteration inversion techniques are analyzed and compared.Typically,the Newton′ non-linear iteration method which is currently adopted as the core algorithm in the numerical weather analysis/forecast centers and in satellite data centers for their operational numerical products is discussed.Levenberg-Marquardt method and trust region method are proposed for atmospheric profiles retrieval which is capable of helping the improvement of the convergence properties of the inversion algorithm.