Abstract This paper researches on Synthetic Aperture Radar (SAR) ocean wind retrieval approach, evaluates the method of Damped Newton VARiational method (DNVAR) and the direct method (DIRECT) using two years’ real SAR data and different background winds. Experiments are carried out using SENTINEL-1 SAR information as observation, National Data Buoy Center (NDBC) buoy data as in-situ data, Global Forecast System (GFS), Advanced SCATterometer (ASCAT), WindSAT, and Cross-Calibrated Multi-Platform (CCMP) wind products as background data. Thousands of match-ups are extracted. Results show that DNVAR can improve the wind field accuracy when the background data is ASCAT and CCMP. Especially, DNVAR wind speed results are much better than the official product of SENTINEL-1 wind data. The background data is crucial to the wind field retrieval results, so high accuracy of background data could lead to high accuracy results.
The evaluation of damped Newton variational ocean wind retrieval method
Advances in Space Research ; 67 , 6 ; 1887-1895
2020-12-29
9 pages
Article (Journal)
Electronic Resource
English
Variational Retrieval of Sea Surface Wind Vectors Using a Polarimetric Approach
British Library Conference Proceedings | 2004
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