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28 November 2006 Prediction of coastal winds using scatterometer and tower observations
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Abstract
Possibility of predicting surface boundary layer winds over coastal land and ocean has been explored in this paper. Prediction has been effected using a modern nonlinear data-fitting algorithm known as genetic algorithm (GA) based on the Darwinian evolutionary theory. Time series of tower-mounted anemometer measured wind speed has been used for carrying out forecast over land while time series of satellite scatterometer derived winds has been used for forecast over coastal ocean. The prediction over land can feed into weather advisories required for rocket launching stations while prediction over coastal ocean can be of use in offshore industries.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abhijit Sarkar, K. Satheesan, Sujit Basu, and G. V. Rama "Prediction of coastal winds using scatterometer and tower observations", Proc. SPIE 6406, Remote Sensing of the Marine Environment, 64060N (28 November 2006); https://doi.org/10.1117/12.693369
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