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Detailed Reference Information |
Sharma, R., Sarkar, A., Agarwal, N., Kumar, R. and Basu, S. (2007). Predicting wind field in the Bay of Bengal from scatterometer observations using genetic algorithm. Geophysical Research Letters 34: doi: 10.1029/2006GL028288. issn: 0094-8276. |
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A technique based on genetic algorithm (GA) is applied for predicting wind field in the Bay of Bengal (BOB) using satellite scatterometer observations. Empirical orthogonal function (EOF) analysis is used for compressing the spatial variability into a set of eigenmodes. The time series of each principal component (PC) is subjected to singular spectrum analysis (SSA) and GA is applied to the resulting filtered time series. The forecast PCs are weighted by the spatial eigenmodes for computing forecast wind fields. Predictions made up to 5 days in advance are found to be superior to forecast by persistence method. |
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Abstract |
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Keywords
Mathematical Geophysics, Time series analysis (1872, 4277, 4475), Atmospheric Processes, Remote sensing, Oceanography, General, Ocean observing systems |
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Publisher
American Geophysical Union 2000 Florida Avenue N.W. Washington, D.C. 20009-1277 USA 1-202-462-6900 1-202-328-0566 service@agu.org |
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