Development of a Massively Parallel NOGAPS Forecast Model

Abstract

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, 1998
Accession Number
ADA532496

Entities

People

  • Tom Rosmond

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Climate
  • Computer Architecture
  • Computers
  • Computing System Architectures
  • Electronic Mail
  • Environment
  • Galerkin Method
  • Global Communications
  • Information Operations
  • Marine Meteorology
  • Meteorology
  • Military Research
  • Parallel Processors
  • Shallow Water
  • Simulations
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Parallel and Distributed Computing.