星载微波散射计资料反演海面风场进展研究  

Research on the development of surface wind retrieval from microwave scatterometer

作　　者：钟剑[1] 黄思训[1] 张亮[1] 

机构地区：[1]解放军理工大学气象学院,南京211101

出　　处：《气象科学》2010年第1期137-142,共6页Journal of the Meteorological Sciences

基　　金：国家自然科学基金(40775023);公益性行业(气象)科研专项(GYHY20080629)

摘　　要：对星载微波散射计资料反演海面风场的国内外研究进展作一评述。首先介绍星载微波散射计反演海面风场的基本原理;然后对利用地球物理模型函数的反演方法中地球物理模型函数的建立与求解算法及模糊去除过程做了全面评述;最后对神经网络和遗传算法等不利用地球物理模型函数风场反演方法的应用作了相应说明。目前利用模型函数反演方法日趋成熟,但仍然有进一步改进的可能,尤其对于降水、台风等恶劣天气情况;而神经网络和遗传算法为以后进行风场反演改进亦提供了一种可行途径。This paper summarized some progresses of research about wind retrieval from microwave seatterometer. Firstly, the principle of wind vector retrieval from microwave scatterometer was introduced. Then, it gave an introduction of research on wind retrieval including the establishment and solution of geophysical model function （GMF） and the methods for ambiguity removal. Lastly, the research of neural network and genetic algorithm used in wind retrieval was presented. It drew the conclusion that the method using the GMF had developed successfully, but it can still be improved, especially for the severe weather like precipitation and typhoon. Moreover, the new methods of neural network and genetic algorithm provided another way for wind retrieval improvement.

关 键 词：风场反演 地球物理模型函数 遗传算法 神经网络 

分 类 号：P425[天文地球—大气科学及气象学]