Development of a Massively Parallel NOGAPS Forecast Model

Abstract

The long-term goal is to develop an advanced global atmospheric forecast system designed to exploit massively parallel processor (MPP), distributed memory computer architectures. Future increases in computer power from MPP s will allow substantial increases in model resolution, more realistic physical processes, and more sophisticated data assimilation methods, all of which will improve operational numerical weather predictions and provide better simulations of the Earth s climate.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1999
Accession Number
ADA630744

Entities

People

  • Tom Rosmond

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Atmospheric Sciences
  • Computer Architecture
  • Computer Programming
  • Computer Programs
  • Computers
  • Computing System Architectures
  • Configuration Management
  • Data Sets
  • Galerkin Method
  • Grids
  • High Performance Computing
  • Military Research
  • Parallel Processors
  • Procurement
  • Shallow Water
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Distributed Systems and Data Platform Development
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers