Next Article in Journal
Previous Article in Journal
Remote Sens. 2013, 5(12), 6180-6197; doi:10.3390/rs5126180
Article

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

1
, 2,* , 3
, 1
, 3
, 3
, 3
 and 3
Received: 28 September 2013; in revised form: 12 November 2013 / Accepted: 13 November 2013 / Published: 25 November 2013
View Full-Text   |   Download PDF [3201 KB, uploaded 19 June 2014]   |   Browse Figures
Abstract: 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.
Keywords: conically scanning scatterometer; wind vector retrieval; wind speed standard deviation; wind direction extension conically scanning scatterometer; wind vector retrieval; wind speed standard deviation; wind direction extension
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Xie, X.; Huang, Z.; Lin, M.; Chen, K.; Lan, Y.; Yuan, X.; Ye, X.; Zou, J. A Novel Integrated Algorithm for Wind Vector Retrieval from Conically Scanning Scatterometers. Remote Sens. 2013, 5, 6180-6197.

AMA Style

Xie X, Huang Z, Lin M, Chen K, Lan Y, Yuan X, Ye X, Zou J. A Novel Integrated Algorithm for Wind Vector Retrieval from Conically Scanning Scatterometers. Remote Sensing. 2013; 5(12):6180-6197.

Chicago/Turabian Style

Xie, Xuetong; Huang, Zhou; Lin, Mingsen; Chen, Kehai; Lan, Youguo; Yuan, Xinzhe; Ye, Xiaomin; Zou, Juhong. 2013. "A Novel Integrated Algorithm for Wind Vector Retrieval from Conically Scanning Scatterometers." Remote Sens. 5, no. 12: 6180-6197.


Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert