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Proceedings Paper

Prediction of coastal winds using scatterometer and tower observations
Author(s): Abhijit Sarkar; K. Satheesan; Sujit Basu; G. V. Rama
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Paper 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.

Paper Details

Date Published: 28 November 2006
PDF: 4 pages
Proc. SPIE 6406, Remote Sensing of the Marine Environment, 64060N (28 November 2006); doi: 10.1117/12.693369
Show Author Affiliations
Abhijit Sarkar, Space Applications Ctr. (India)
K. Satheesan, Space Applications Ctr. (India)
Sujit Basu, Space Applications Ctr. (India)
G. V. Rama, Satish Dhawan Space Ctr. (India)


Published in SPIE Proceedings Vol. 6406:
Remote Sensing of the Marine Environment
Robert J. Frouin; Vijay K. Agarwal; Hiroshi Kawamura; Shailesh Nayak; Delu Pan, Editor(s)

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