Ocean Prediction with the Hybrid Coordinate Ocean Model (HYCOM)

• Main Authors: Chassignet, Eric P., Hurlburt, Harley E., Smedstad, Ole M., Halliwell, George R., Hogan, Patrick J., Wallcraft, Alan J., Bleck, Rainer
• Other Authors: NAVAL RESEARCH LAB STENNIS SPACE CENTER MS OCEANOGRAPHY DIV
• Format: Text
• Language: English
• Published: 2006
• Subjects: Meteorology; Physical and Dynamic Oceanography; Computer Programming and Software; Fluid Mechanics; *HIGH RESOLUTION; *OCEAN MODELS; *NORTH ATLANTIC OCEAN; *HYBRID SIMULATION; *CIRCULATION; OCEAN CURRENTS; PREDICTIONS; WEATHER FORECASTING; OCEANOGRAPHIC DATA; DEEP DEPTH; SHALLOW DEPTH; MIXED LAYER(MARINE); FLUID DYNAMICS; MATHEMATICAL FILTERS; GRIDS(COORDINATES); REAL TIME; EDDIES(FLUID MECHANICS); *HYCOM(HYBRID COORDINATE OCEAN MODEL); *OCEAN CIRCULATION; *DATA ASSIMILATION; GODAE(GLOBAL OCEAN DATA ASSIMILATION EXPERIMENT); SURFACE CIRCULATION; DEEP CIRCULATION; VERTICAL RESOLUTION; VERTICAL COORDINATES; SEA SURFACE HEIGHT; SEA SURFACE TEMPERATURE; OPTIMUM INTERPOLATION; PE0602435N; WUNRL737840045; North Atlantic
• Online Access: http://www.dtic.mil/docs/citations/ADA449144; http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA449144

This chapter provides an overview of the effort centered on the HYbrid Coordinate Ocean Model (HYCOM) to develop an eddy-resolving, real-time global and basin-scale ocean prediction system in the context of the Global Ocean Data Assimilation Experiment (GODAE). The long-term goal is an eddy-resolving, fully global ocean prediction system with data assimilation based on HYCOM to be transitioned to the Naval Oceanographic Office at 1/12 degree equatorial resolution in 2007 and 1/25 degree resolution by 2011. This chapter summarizes the present status of the HYCOM effort and illustrates its capabilities. The present systems are a first step towards the fully global 1/12 degree HYCOM prediction system. The size of the problem makes it very difficult to use sophisticated assimilation techniques. Some of these methods can increase the cost of running the model by a factor of 100. It is, however, important to evaluate the performance of these advanced data assimilation techniques. Several additional techniques for assimilating data into HYCOM are already in place or are in the process of being implemented. These techniques vary in sophistication and computational requirements and include the following: NRL Coupled Ocean Data Assimilation (NCODA), Singular Evolutive Extended Kalman (SEEK) filter, Reduced Order Information Filter (ROIF), Ensemble Kalman Filter (EnKF), Reduced Order Adaptive Filter (ROAF) (including adjoint), and the 4D-VAR Representer method. Pub. in Ocean Weather Forecasting: An Integrated View of Oceanography, p413-426, 2006. ISBN-10 1-4020-3981-6 (hardback); ISBN-13 978-1-4020-3981-2 (hardback); ISBN-10 1-4020-4028-8 (e-book); ISBN-13 978-1-4020-4028-3 (e-book). Prepared in cooperation with the University of Miami, Miami, FL; Planning Systems Inc., Stennis Space Center, MS; and Los Alamos National Laboratory, Los Alamos, NM.