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Proceedings Paper

Impact of Quikscat data on numerical weather prediction
Author(s): Robert M. Atlas; Stephen C. Bloom; Joseph Ardizzone; Eugenia Brin; Joseph Terry; Tsann-Wang Yu
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Paper Abstract

The SeaWinds scatterometer (like NSCAT and ERS) is able to detect unequivocal signatures of meteorological features including cyclones, fronts, anticyclones, easterly waves and other precursors of hurricanes and typhoons. Through collaborative efforts between NASA and NOAA, National Weather Service marine forecasters are using SeaWinds data to improve analyses, forecasts and significant weather warnings for maritime interests. This results in substantial economic savings as well as the reduction of weather related loss of life at sea. The impact of SeaWinds on Numerical Weather Prediction models is on average modest but occasionally results in significant forecast improvements.

Paper Details

Date Published: 5 November 2003
PDF: 5 pages
Proc. SPIE 5155, Ocean Remote Sensing and Imaging II, (5 November 2003); doi: 10.1117/12.505896
Show Author Affiliations
Robert M. Atlas, NASA Goddard Space Flight Ctr. (United States)
Stephen C. Bloom, Science Applications International Corp. (United States)
Joseph Ardizzone, Science Applications International Corp. (United States)
Eugenia Brin, Science Applications International Corp. (United States)
Joseph Terry, Science Applications International Corp. (United States)
Tsann-Wang Yu, National Oceanic Atmospheric Administration (United States)


Published in SPIE Proceedings Vol. 5155:
Ocean Remote Sensing and Imaging II
Robert J. Frouin; Gary D. Gilbert; Delu Pan, Editor(s)

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