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30 March 2000 Novel approach to retrieving wind vectors from the NSCAT scatterometer
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Abstract
The NASA Scatterometer was a satellite radar system launched in August 1996 on Japan's Advanced Earth Observing System ADEOS to remotely sense ocean surface wind vectors. This radar measures backscattered power for the ocean at three azimuths and uses a non-linear wind retrieval algorithm to infer surface wind vectors. This paper presents a new approach to the wind retrieval process to estimate ocean- surface wind vectors. This new approach employs a genetic algorithm (GA) to find the wind vector solutions that minimize the likelihood function. The likelihood function is generated by summing the errors of the theoretical backscattered versus measured sigma-0 divided by standard deviation of the measurements in every wind vector cell. Currently, the NSCAT Project algorithm implements a 'special brute force' approach to finding the wind vector solutions that minimize the likelihood function. The paper also present comparisons of the result of using the GA approach versus the current NSCAT algorithm. The GA approach is shown to be more robust and immune to reaching sub-optical solutions by avoiding local minima.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sami M. Alhumaidi and W. Linwood Jones "Novel approach to retrieving wind vectors from the NSCAT scatterometer", Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); https://doi.org/10.1117/12.380572
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