DocumentCode
2857491
Title
Global Ocean Prediction Using HYCOM
Author
Wallcraft, Alan J. ; Hurlburt, Harley E. ; Metzger, E. Joseph ; Cummings, James A. ; Chassignet, Eric P. ; Smedstad, Ole Martin
Author_Institution
US Naval Res. Lab. (NRL-SSC), Stennis Space Center
fYear
2007
fDate
18-21 June 2007
Firstpage
259
Lastpage
262
Abstract
In the third year of this project, fully-global eddy- resolving simulations have been performed using the HYbrid Coordinate Ocean Model (HYCOM) at 1/12deg (~7 km mid-latitude) resolution. HYCOM is isopycnal in the open, stratified ocean, but makes a dynamically smooth transition to a terrain-following coordinate in shallow water and to pressure coordinates in the mixed layer and/or unstratified regions via the layered continuity equation. This approach incorporates the advantages of these three distinct vertical coordinate types into one ocean model that includes the deep ocean as well as coastal regions. In addition, it is designed for high vertical resolution in the surface mixed layer. The majority of the first and second year simulations were atmospherically forced only (no data assimilation). In the second year and third year we added cases with ocean data assimilation. Since December 2006 we have run a nowcast every day, and since February 2007 we perform a nowcast and a 3-day forecast every day in real time. Results from HYCOM´s data-assimilative hindcast of 2004 are compared to observations and to the existing operational nowcast/forecast system at the Naval Oceanographic Office.
Keywords
data assimilation; digital simulation; geophysics computing; oceanographic techniques; oceanography; HYCOM; HYbrid Coordinate Ocean Model; coastal regions; deep ocean; fully-global eddy-resolving simulation; global ocean prediction; layered continuity equation; ocean data assimilation; open stratified ocean; pressure coordinate; shallow water; surface mixed layer; terrain-following coordinate; vertical resolution; Atmospheric modeling; Data assimilation; Equations; Interpolation; Laboratories; Ocean temperature; Predictive models; Sea ice; Sea measurements; Sea surface;
fLanguage
English
Publisher
ieee
Conference_Titel
DoD High Performance Computing Modernization Program Users Group Conference, 2007
Conference_Location
Pittsburgh, PA
Print_ISBN
978-0-7695-3088-5
Type
conf
DOI
10.1109/HPCMP-UGC.2007.36
Filename
4437994
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