Assessment of an analytical model for sea surface wind speed retrieval from spaceborne SAR

$60.01 plus tax (Refund Policy)

Buy Article:

Abstract:

An analytical model based on radar backscatter theory was utilized to retrieve sea surface wind speeds from C-band satellite synthetic aperture radar (SAR) data at either vertical (VV) or horizontal (HH) polarization in transmission and reception. The wind speeds were estimated from several ENVISAT Advanced SAR (ASAR) images in Hong Kong coastal waters and from Radarsat-1 SAR images along the west coast of North America. To evaluate the accuracy of the analytical model, the estimated wind speeds were compared to coincident buoy measurements, as well as winds retrieved by C-band empirical algorithms (CMOD4, CMOD_IRF2 and CMOD5). The comparison shows that the accuracy of the analytical model is comparable to that of the C-band empirical algorithms. The results indicate the capability of the analytical model for sea surface wind speed retrieval from SAR images at both VV and HH polarization.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/01431160902922870

Affiliations: 1: College of Traffic, College of Ocean, Hohai University, Nanjing, China,LASG, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, China 2: Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong 3: IMSG, NOAA/NESDIS, Camp Springs, MD, USA 4: College of Traffic, College of Ocean, Hohai University, Nanjing, China 5: Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA 6: NOAA/NESDIS/STAR, Camp Springs, MD, USA 7: Physical Oceanography Laboratory, Ocean University of China, Qingdao, China

Publication date: April 1, 2010

More about this publication?
Related content

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more