Next-Generation Global And Mesoscale Atmospheric Models

Abstract

The long-term goal of this research is to construct global and mesoscale nonhydrostatic numerical weather prediction (NWP) models for the U.S. Navy using new numerical methods specifically designed for modern computer architectures. To take full advantage of distributed-memory computers, the global domains of these new models are partitioned into local sub-domains, or elements, which can then be solved independently on multiple processors. The numerical methods used on these subdomains are local, high-order accurate, fully conservative, and highly efficient. Using these ideas we are developing global and mesoscale nonhydrostatic atmospheric models that will improve upon the operational models currently used by all U.S. agencies including the U.S. Navy.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2008
Accession Number
ADA533551

Entities

People

  • Francis Giraldo

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Applied Mathematics
  • Boundaries
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Architecture
  • Computers
  • Computing System Architectures
  • Demographic Cohorts
  • Equations
  • Euler Equations
  • Flow
  • Fluid Dynamics
  • Fluid Flow
  • Galerkin Method
  • Physics
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Parallel and Distributed Computing.