中文摘要：

针对微波散射计资料的海面风场反演,本文首先利用QuikSCAT卫星散射计的近实时资料,借助荷兰皇家气象学会的SeaWinds散射计数据处理模式,在不同风速和海域的情况下,采用多解方案结合二维变分同化方法进行风向的模糊去除,达到消除解的不唯一性的目的,且对4种反演结果（低速风、中速风、高速风和近海岸风）与美国国家海洋和大气管理局卫星资料中心的近实时风场数据的对比分析,说明了该技术的有效性.在此基础上,对反演得到的中速风场利用广义变分最佳分析方法进行了调整,调整后的风场结构有了进一步的改善.此方法可为我国散射计资料反演海面风场的研究提供新的思路和方法.

英文摘要：

In order to retrieve sea surface wind field from microwave scatterometer data,the SDP（SeaWinds Data Processor） model produced by KNMI（Royal Netherlands Meteorological Institute） was used to retrieve sea surface wind from near real time data of SeaWinds obtained by on aboard QuikSCAT in different regions under different wind speeds.In the case of integrating MSS（multiple solution scheme） with 2DVAR（two-dimensional variational assimilation） method for ambiguity removal,the effectiveness of this approach was demonstrated by comparing the four results（low speed wind field,middle speed wind,high speed wind field,coast region wind field） with NOAA/NESDIS（the National Oceanic and Atmospheric Administrations National Environmental Satellite,Data,and Information Service） near real time wind data model wind.Then we used generalized variational optimization analysis method to adjust the middle speed wind field,and the structure of the wind field was further improved.This paper offeres a new idea for the study of sea surface wind retrieval from microwave scatterometer data.