Impact of Quikscat data on numerical weather prediction

被引：0

作者：

Atlas, R ^{[1
]}

Bloom, SC ^{[1
]}

Ardizzone, J ^{[1
]}

Brin, E ^{[1
]}

Terry, J ^{[1
]}

Yu, TW ^{[1
]}

机构：

[1] NASA, Goddard Space Flight Ctr, Data Assimilat Off, Greenbelt, MD 20771 USA

来源：

OCEAN REMOTE SENSING AND IMAGING II | 2003年 / 5155卷

关键词：

scatterometer; weather prediction; microwave remote sensing applications;

D O I：

10.1117/12.505896

中图分类号：

P7 [海洋学];

学科分类号：

0707 ;

摘要：

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.

引用

页码：211 / 215

页数：5

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