A Novel Integrated Algorithm for Wind Vector Retrieval from Conically Scanning Scatterometers

Remote Sensing

Zhou Huang¹  Juhong Zou²  Youguo Lan²  Xiaomin Ye²  Mingsen Lin²  Xinzhe Yuan²  Xuetong Xie³  Kehai Chen³ 

[1] Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China;National Satellite Ocean Application Service, Beijing 100081, China;School of Geography, Guangzhou University, Guangzhou 510006, China;

关键词: conically scanning scatterometer;    wind vector retrieval;    wind speed standard deviation;    wind direction extension;   

DOI  :  10.3390/rs5126180

来源: DOAJ

【 摘 要 】

Due to the lower efficiency and the larger wind direction error of traditional algorithms, a novel integrated wind retrieval algorithm is proposed for conically scanning scatterometers. The proposed algorithm has the dual advantages of less computational cost and higher wind direction retrieval accuracy by integrating the wind speed standard deviation (WSSD) algorithm and the wind direction interval retrieval (DIR) algorithm. It adopts wind speed standard deviation as a criterion for searching possible wind vector solutions and retrieving a potential wind direction interval based on the change rate of the wind speed standard deviation. Moreover, a modified three-step ambiguity removal method is designed to let more wind directions be selected in the process of nudging and filtering. The performance of the new algorithm is illustrated by retrieval experiments using 300 orbits of SeaWinds/QuikSCAT L2A data (backscatter coefficients at 25 km resolution) and co-located buoy data. Experimental results indicate that the new algorithm can evidently enhance the wind direction retrieval accuracy, especially in the nadir region. In comparison with the SeaWinds L2B Version 2 25 km selected wind product (retrieved wind fields), an improvement of 5.1° in wind direction retrieval can be made by the new algorithm for that region.

【 授权许可】

Unknown