ESPC Coupled Global Prediction System - Develop and Test Coupled Physical Parameterizations: NAVGEM/CICE/HYCOM

Abstract

The long-term goal is a fully coupled global atmosphere/wave/ocean/land/ice prediction system providing daily predications out to 10 days and weekly predictions out to 30 days. The initial operational capability of a fully coupled global atmosphere/wave/ocean/land/ice prediction system is targeted for 2018. Predictions will provide environmental information to meet Navy and DoD operations and planning needs throughout the globe from undersea to the upper atmosphere and from the tropics to the poles. The system will be implemented on Navy operational computer systems, and the necessary processing infrastructure will be put in place to provide products for the Navy fleet user consumption. Building on the ESMF NUOPC interoperability layers, present advanced models representing the physics within each of the earth components of atmosphere, ocean, surface waves, ice and land will pass information through separate flux computation models. The system will use analysis fields of each component as initial conditions and make daily forecasts out to 10 days. Throughout each weekly cycle, predictions out to 30 days will be constructed.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2013
Accession Number
ADA601272

Entities

People

  • Pamela Posey
  • Shouping Wang

Organizations

  • United States Naval Research Laboratory

Tags

DTIC Thesaurus Topics

  • Assimilation
  • Atmospheres
  • Climate Change
  • Computations
  • Couplings
  • Heat Flux
  • Ice
  • Information Operations
  • Interoperability
  • Marginal Ice Zones
  • Military Research
  • Roughness
  • Sea Ice
  • Surface Properties
  • Surface Roughness
  • Surface Waves
  • Waves

Fields of Study

  • Environmental science

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers