Marine Wind Analysis with the Benefit of Radarsat-1 Synthetic Aperture Radar
نویسندگان
چکیده
A nonlinear regression approach is employed to construct a surface wind analysis from a synthetic aperture radar (SAR) acquisition off the west coast of North America and a collocated operational marine wind forecast. The analysis is iteratively constructed using a cost function that minimizes discrepancies with the wind forecast, the SAR backscatter, and wind directions that are inferred from the backscatter gradients. The relative importance of these discrepancies is defined by three corresponding error covariance matrices and an independent set of buoy observations is used to postulate their precise definition.
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