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XIE Xuetong,WEN Ya,HUANG Zhou.An advanced wind vector retrieval algorithm for the rotating fan-beam scatterometer[J].Acta Oceanologica Sinica,2017,36(5):83-89
一种改进的扇形波束旋转扫描散射计海面风矢量反演算法
An advanced wind vector retrieval algorithm for the rotating fan-beam scatterometer
投稿时间:2016-05-07  
DOI:10.1007/s13131-017-1062-7
中文关键词:  扇形波束旋转扫描散射计  目标函数  风矢量反演  偏差分布直方图  风向扩展
英文关键词:rotating fan-beam scatterometer  objective function  wind vector retrieval  distribution histogram of bias  wind direction extension
基金项目:The National Natural Science Foundation of China under contract Nos 41476152 and 41506206; the National High Technology Research and Development Program (863 Program) of China under contract No. 2013AA09A505; the Major Project on the Integration of Industry, Education, and Research of Guangzhou City of China under contract No. 201508020109.
作者单位E-mail
解学通 广州大学地理科学学院, 广州, 510006 xtxie2013@163.com 
文雅 华南农业大学资源环境学院, 广州, 510642  
黄舟 北京大学遥感与地理信息系统研究所, 北京, 100871  
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中文摘要:
      扇形波束旋转扫描散射计(RFSCAT)是约十年前才被提出来的一种新型星载微波散射计。与其它旋转扫描散射计类似,其星下点附近区域和刈幅边缘区域的风场反演误差相对较大。在本文设定的参数条件下,RFSCAT散射计刈幅边缘区域的风向反演精度相对于轨道中间区域降低了约9°。针对这一问题,本文为RFSCAT散射计提出了一种改进的风矢量反演算法。新算法的主要特征是,根据风向反演偏差直方图,在整个刈幅区域内,对模糊解风向取值区间进行自适应扩展,以获取并保留更多可能风向解。利用模拟的100条轨道的L2A数据,对新算法进行反演验证。实验结果证明,新算法能够有效改善RFSCAT散射计星下点附近区域和轨道刈幅边缘区域的风向反演精度。星下点和刈幅边缘上的风矢量单元的风向反演精度相对于标准的MLE算法分别提高了1.6°和9°。
英文摘要:
      The rotating fan-beam scatterometer (RFSCAT) is a new type of satellite scatterometer that is proposed approximately 10 a ago. However, similar to other rotating scatterometers, relatively larger wind retrieval errors occur in the nadir and outer regions compared with the middle regions of the swath. For the RFSCAT with the given parameters, a wind direction retrieval accuracy decreases by approximately 9 in the outer regions compared with the middle region. To address this problem, an advanced wind vector retrieval algorithm for the RFSCAT is presented. The new algorithm features an adaptive extension of the range of wind direction for each wind vector cell position across the whole swath according to the distribution histogram of a retrieved wind direction bias. One hundred orbits of Level 2A data are simulated to validate and evaluate the new algorithm. Retrieval experiments demonstrate that the new advanced algorithm can effectively improve the wind direction retrieval accuracy in the nadir and outer regions of the RFSCAT swath. Approximately 1.6 and 9 improvements in the wind direction retrieval are achieved for the wind vector cells located at the nadir and the edge point of the swath, respectively.
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