Paper
13 October 2008 Improving ocean surface wind speed retrieval from SSM/I data by channel combinations
Author Affiliations +
Proceedings Volume 7107, Remote Sensing of Clouds and the Atmosphere XIII; 710716 (2008) https://doi.org/10.1117/12.799763
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom
Abstract
After Analyzing correlations of ocean surface wind speeds and the channel combinations of brightness temperature, it is found that the difference of brightness temperature between 22GHz vertical polarization and 19GHz horizontal polarization and the ratio of the difference between 19GHz vertical polarization and 19GHz horizontal polarization to the difference between 37GHz vertical polarization and 37GHz horizontal polarization should be used to retrieve ocean surface wind speed. So we add these two channel combinations to improve the Goodberlet's algorithm and derive wind speeds from the brightness temperature of SSM/I five channels measured in 2005. Comparing the results of two algorithms against in-situ buoy wind speeds shows that the improved wind speed retrieval algorithm is better than Goodberlet's algorithm, the wind speed estimation accuracy improves by 0.9m/s and 0.5m/s under clear condition and cloudy condition respectively.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lin Lei, Ju-hong Zou, and Zhi-hua Mao "Improving ocean surface wind speed retrieval from SSM/I data by channel combinations", Proc. SPIE 7107, Remote Sensing of Clouds and the Atmosphere XIII, 710716 (13 October 2008); https://doi.org/10.1117/12.799763
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Polarization

Satellites

Algorithm development

Microwave radiation

Temperature metrology

Wind measurement

Clouds

Back to Top