Development of a real-time regional ocean forecast system with application to a domain off the U.S east coast

Primary tabs

Breaker, L. C., Rao, D. B., Kelley, J. G. W., & Balasubramaniyan, B. (2004). Development of a real-time regional ocean forecast system with application to a domain off the U.S east coast. Marine Technology Society Journal, 38(1), 61-79.
Metadata
TitleDevelopment of a real-time regional ocean forecast system with application to a domain off the U.S east coast
AuthorsL. Breaker, D. Rao, J. Kelley, B. Balasubramaniyan
AbstractThis paper discusses the needs to establish a capability to provide real-time regional ocean forecasts and the feasibility of producing them on an operational basis. Specifically, the development of a Regional Ocean Forecast System using the Princeton Ocean Model (POM) as a prototype and its application to the East Coast of the U.S. are presented. The ocean forecasts are produced using surface forcing from the Eta model, the operational mesoscale weather prediction model at the National Centers for Environmental Prediction (NCEP). At present, the ocean forecast model, called the East Coast-Regional Ocean Forecast System (EC-ROFS) includes assimilation of sea surface temperatures from in situ and satellite data and sea surface height anomalies from satellite altimeters. Examples of forecast products, their, evaluation, problems that arose during the development of the system, and solutions to some of those problems are also discussed. Even though work is still in progress to improve the performance of EC-ROFS, it became clear that the forecast products which are generated can be used by marine forecasters if allowances for known model deficiencies are taken into account. The EC-ROFS became fully operational at NCEP in March 2002, and is the first forecast system of its type to become operational in the civil sector of the United States.
JournalMarine Technology Society Journal
Date2004
Volume38
Issue1
Start page61
End page79
ISSN0025-3324
SubjectsEnvironmental impact, Forecasting, Problem solving, Real time systems, Ocean forecasts, Sea surface temperatures, Oceanography, data assimilation, forecasting method, numerical model, sea surface temperature, weather forecasting
NoteCited By (since 1996):2, Oceanography

Bookmark

Bookmarks: