Reconstructed Wind Fields from Multi-Satellite Observations

Remote Sensing

Ruohan Tang¹  Deyou Liu¹  Guoqi Han²  Zhimin Ma² 

[1] College of Water Conservancy and Hydropower Engineer, Hohai University, Nanjing 210098, China; E-Mail:;Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John’s. NL, A1B 3X7, Canada; E-Mails:

关键词: sea surface winds;    SAR;    scatterometer;    reconstruction;    heapsort bucket method;    topdown search;    modified Gauss–Markov theorem;   

DOI  :  10.3390/rs6042898

来源: mdpi

【 摘 要 】

We present and validate a method of reconstructing high-resolution sea surface wind fields from multi-sensor satellite data over the Grand Banks of Newfoundland off Atlantic Canada. Six-hourly ocean wind fields from blended products (including multi-satellite measurements) with 0.25° spatial resolution and 226 RADARSAT-2 synthetic aperture radar (SAR) wind fields with 1-km spatial resolution have been used to reconstruct new six-hourly wind fields with a resolution of 10 km for the period from August 2008 to December 2010, except July 2009 to November 2009. The reconstruction process is based on the heapsort bucket method with topdown search and the modified Gauss–Markov theorem. The result shows that the mean difference between the reconstructed wind speed and buoy-estimated wind speed is smaller than 0.6 m/s, and the standard deviation is smaller than 2.5 m/s. The mean difference in wind direction between reconstructed and buoy estimates is 3.7°; the standard deviation is 40.2°. There is fair agreement between the reconstructed wind vectors and buoy-estimated ones.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland