Data/hora: 03/06/2024 17:34:12

Provedor de dados: 	5	
País: 	France	
Título: 	Application of a new algorithm using Doppler information to retrieve complex wind fields over the Black Sea from ENVISAT SAR images	
Autores: 	Alpers, Werner; Mouche, Alexis; Horstmann, Jochen; Ivanov, Andrei Yu.; Barabanov, Vladyslav S.	
Data: 	2015	
Ano: 	2015	
Resumo: 	Several algorithms have been proposed to retrieve near-surface wind fields from C-band synthetic aperture radar (SAR) images acquired over the ocean. They mainly differ in the way they retrieve the wind direction. Conventionally, the wind direction is taken from atmospheric models or is extracted from the linear features sometimes visible in SAR images. Recently, a new wind retrieval algorithm has been proposed, which also includes the Doppler shift induced by motions of the sea surface. In this article, we apply three wind retrieval algorithms, including the one using Doppler information, to three complex wind events encountered over the Black Sea and compare the SAR-derived wind fields with model wind fields calculated using the high-resolution weather research and forecasting (WRF) model. It is shown that the new algorithm is very efficient in resolving the 180° ambiguity in the wind direction, which is often a problem in the streak-based wind retrieval algorithms. However, the Doppler-based algorithm only yields good results for wind directions that have a significant component in the look direction of the SAR antenna. Furthermore, it is dependent on good separation of the contributions to the Doppler shift induced by surface currents and wind-related effects (wind drift and wind-sea components of the ocean wave spectrum). We conclude that an optimum wind retrieval algorithm should consist of a combination of the algorithms based on linear features and Doppler information.	
Tipo: 	Text	
Idioma: 	Inglês	
Identificador: 	https://archimer.ifremer.fr/doc/00253/36390/35443.pdf

DOI:10.1080/01431161.2014.999169

https://archimer.ifremer.fr/doc/00253/36390/	
Editor: 	Taylor &amp; Francis Ltd	
Relação: 	info:eu-repo/grantAgreement/EC/FP7/287844/EU//COCONET	
Formato: 	application/pdf	
Fonte: 	International Journal Of Remote Sensing (0143-1161) (Taylor &amp; Francis Ltd), 2015 , Vol. 36 , N. 3 , P. 863-881	
Fonte: 	2015 Taylor &amp; Francis

info:eu-repo/semantics/openAccess

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