全极化微波辐射成像仪WindSat海面风矢量反演简化正向模型  

A Simplified Forward Model of WindSat for Sea Surface Wind Vector Retrieving

作　　者：赵屹立[1] 贺明霞[1] 

机构地区：[1]中国海洋大学海洋遥感研究所,山东青岛266003

出　　处：《中国海洋大学学报（自然科学版）》2013年第12期98-105,共8页Periodical of Ocean University of China

基　　金：ESA-MOST Dragon 2项目(I5338);总装预研基金项目(I51473010105JW1001)资助

摘　　要：WindSat是世界上第1个星载全极化微波辐射成像仪,其海面风矢量的反演基于较复杂的双尺度海面辐射正向模型以及非线性优化算法。1个简单而足够准确的正向模型将可提供快速的反演算法。本文利用WindSat提供的Stokes参数以及同步的QuikScat海面风矢量、TMI海表温度/大气水汽总量/液态水总量构成的数据集,建立了WindSat的简化正向模型。其中,垂直/水平极化亮温风速模型基于改进的Wentz模型,Stokes3/4参数风向模型基于统计回归方法。简化正向模型模拟结果与WindSat观测数据比较,以10.7GHz为例,4个Stokes参数的均方根误差分别为0.52、0.42、0.34、0.22K。WindSat is the first satelliteborne polarimetrice radiometer. The retrieval of sea surface wind vector for WindSat is based on a complex twoscale sea surface emission model and the nonlinear optimiza tion algorithm. A simple and accurate forward model could provide a rapid retrieving algorithm. In this paper, a simplified WindSat forward model was established using WindSat measurements and synchronous sea surface wind vector from QuikSCAT, sea surface temperature, columnar water vapor and columnar cloud liquid water from TMI. The simplified model was based on the vertical and horizontal polarized brightness temperature which was a modified Wentz model, and the third and fourth Stokes parameters model developed with statistical regression method. The root mean square differences between the simpli fied forward model simulation results and WindSat measurements at 10.7GHz, for example, are 0. 52, 0. 42, 0. 34 and 0. 22 K for the four Stokes parameters.

关 键 词：全极化微波辐射成像仪 WindSat正向模型 海面风矢量 

分 类 号：TV143[水利工程—水力学及河流动力学]