Potential impact of remote sensing data on sea-state analysis and prediction
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 wer...
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ftnasantrs:oai:casi.ntrs.nasa.gov:19840011886 2023-05-15T17:33:01+02:00 Potential impact of remote sensing data on sea-state analysis and prediction Cardone, V. J. Unclassified, Unlimited, Publicly available Dec 1, 1983 application/pdf http://hdl.handle.net/2060/19840011886 unknown Document ID: 19840011886 Accession ID: 84N19954 http://hdl.handle.net/2060/19840011886 No Copyright CASI EARTH RESOURCES AND REMOTE SENSING E84-10083 NASA-CR-175209 NAS 1.26:175209 1983 ftnasantrs 2019-07-21T04:32:46Z 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. Other/Unknown Material North Atlantic NASA Technical Reports Server (NTRS) |
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NASA Technical Reports Server (NTRS) |
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EARTH RESOURCES AND REMOTE SENSING |
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EARTH RESOURCES AND REMOTE SENSING Cardone, V. J. Potential impact of remote sensing data on sea-state analysis and prediction |
topic_facet |
EARTH RESOURCES AND REMOTE SENSING |
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. |
format |
Other/Unknown Material |
author |
Cardone, V. J. |
author_facet |
Cardone, V. J. |
author_sort |
Cardone, V. J. |
title |
Potential impact of remote sensing data on sea-state analysis and prediction |
title_short |
Potential impact of remote sensing data on sea-state analysis and prediction |
title_full |
Potential impact of remote sensing data on sea-state analysis and prediction |
title_fullStr |
Potential impact of remote sensing data on sea-state analysis and prediction |
title_full_unstemmed |
Potential impact of remote sensing data on sea-state analysis and prediction |
title_sort |
potential impact of remote sensing data on sea-state analysis and prediction |
publishDate |
1983 |
url |
http://hdl.handle.net/2060/19840011886 |
op_coverage |
Unclassified, Unlimited, Publicly available |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
CASI |
op_relation |
Document ID: 19840011886 Accession ID: 84N19954 http://hdl.handle.net/2060/19840011886 |
op_rights |
No Copyright |
_version_ |
1766131377530470400 |