ESPC Coupled Global Prediction System

Abstract

Develop and implement a fully coupled global atmosphere/wave/ocean/land/ice prediction system capable of providing daily predictions out to 10 days and weekly predictions out to 30-90 days. Initial Operational Capability is targeted as 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 Navy fleet user consumption. Develop and implement a coupling infrastructure and interoperability layer to enable the component models to exchange information needed to make global earth system predictions. For each of the component models, develop and test coupled physical parameterizations and emphasize testing of new feedback loops that arise in the coupled system. Implement the tripolar grid for WaveWatch-III and wave forcing in the ocean. Incorporate time-dependent, radiatively active, and cloud-nucleating aerosols into NAVGEM for use in long-term simulations and forecasts and for use in the full coupled system.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2014
Accession Number
ADA616448

Entities

People

  • James G. Richman
  • Timothy R. Whitcomb

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Atmospheres
  • Boundary Layer
  • Clouds
  • Computations
  • Convection
  • Couplings
  • Grids
  • High Resolution
  • Meteorology
  • Military Research
  • Ocean Currents
  • Oceanography
  • Oceans
  • Sea Ice
  • Simulations
  • Stresses
  • Wind Stress

Fields of Study

  • Environmental science

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers