NDLI: Potential impact of remote sensing data on sea-state analysis and prediction

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Potential impact of remote sensing data on sea-state analysis and prediction

Content Provider	NASA Technical Reports Server (NTRS)
Author	Cardone, V. J.
Copyright Year	1983
Description	The severe North Atlantic storm which damaged the ocean liner Queen Elizabeth 2 (QE2) was studied to assess the impact of remotely sensed marine surface wind data obtained by SEASAT-A, on sea state specifications and forecasts. Alternate representations of the surface wind field in the QE2 storm were produced from the SEASAT enhanced data base, and from operational analyses based upon conventional data. The wind fields were used to drive a high resolution spectral ocean surface wave prediction model. Results show that sea state analyses would have been vastly improved during the period of storm formation and explosive development had remote sensing wind data been available in real time. A modest improvement in operational 12 to 24 hour wave forecasts would have followed automatically from the improved initial state specification made possible by the remote sensing data in both numerical and sea state prediction models. Significantly improved 24 to 48 hour wave forecasts require in addition to remote sensing data, refinement in the numerical and physical aspects of weather prediction models.
File Size	18348772
Page Count	106
File Format	PDF
Alternate Webpage(s)	http://archive.org/details/NASA_NTRS_Archive_19840011886
Archival Resource Key	ark:/13960/t75t8g93v
Language	English
Publisher Date	1983-12-01
Access Restriction	Open
Subject Keyword	Earth Resources And Remote Sensing Scatterometers Earth Resources Program Sea States Weather Forecasting Seasat 1 Radio Altimeters Marine Meteorology Wind Velocity Measurement Cyclones Prediction Analysis Techniques Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science
Content Type	Text
Resource Type	Technical Report

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