Impact of Quikscat data on numerical weather prediction

Robert M. Atlas; Stephen C. Bloom; Joseph Ardizzone; Eugenia Brin; Joseph Terry; Tsann-Wang Yu

doi:10.1117/12.505896

5 November 2003 Impact of Quikscat data on numerical weather prediction

Robert M. Atlas, Stephen C. Bloom, Joseph Ardizzone, Eugenia Brin, Joseph Terry, Tsann-Wang Yu

Proceedings Volume 5155, Ocean Remote Sensing and Imaging II; (2003) https://doi.org/10.1117/12.505896
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

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.

Citation Download Citation

Robert M. Atlas, Stephen C. Bloom, Joseph Ardizzone, Eugenia Brin, Joseph Terry, and Tsann-Wang Yu "Impact of Quikscat data on numerical weather prediction", Proc. SPIE 5155, Ocean Remote Sensing and Imaging II, (5 November 2003); https://doi.org/10.1117/12.505896

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available