U.S. GODAE: Global Ocean Prediction with the HYbrid Coordinate Ocean Model

Abstract

Collaborative 5-year (FY04-08) National Ocean Partnership Program (NOPP) project to develop a next generation eddy-resolving, fully global ocean prediction system using HYCOM with .08 deg equatorial resolution. This system will be transitioned to NAVOCEANO for operational use in 2007 with assimilation of sea surface height (SSH) from satellite altimeters, sea surface temperature (SST) and temperature (T)/salinity (S) profiles, including profiles from ARGO floats. In addition, 30-day forecasts are planned once a week. The system will include two-way coupling to an ice model and a version with two-way coupling to an atmospheric model for transition to FNMOC. The project will ensure that an accurate and generalized ocean model nesting capability is in place to support regional and littoral applications when global HYCOM becomes operational. This will include the capability to provide boundary conditions to nested models with fixed depth z-level coordinates, terrain following coordinates, generalized coordinates (HYCOM), and unstructured grids. To facilitate this goal HYCOM will be developed into a full-featured coastal ocean model in collaboration with a partnering project. The project will participate in the multinational Global Ocean Data Assimilation Experiment (GODAE) and international GODAE-related ocean prediction system intercomparison projects.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
ADA482851

Entities

People

  • Harley E. Hurlburt

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Altimeters
  • Coordinate Systems
  • Data Analysis
  • Grids
  • Gulf Stream
  • High Performance Computing
  • Kalman Filters
  • Military Research
  • Oceanography
  • Oceans
  • Regions
  • Sea Surface Temperature
  • Standards
  • Surface Temperature
  • Terrain
  • Terrain Following
  • Topography

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • Space