Next-Generation Global And Mesoscale Atmospheric Models

Abstract

The long-term goal of this research is to construct the Navy's next-generation global numerical weather prediction (NWP) models using new numerical methods specifically designed for distributed-memory and vector computers. To take full advantage of distributed-memory computers, the global domains of our models are partitioned into local sub-domains, or elements, which can then be solved independently on multiple processors. The numerical methods used on these sub-domains are local in nature, high-order accurate, and highly efficient. Using these ideas we are developing global and mesoscale atmospheric models that should be able to improve upon the operational models currently used by the Navy.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2007
Accession Number
ADA575704

Entities

People

  • Francis Giraldo

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Boundaries
  • Computational Fluid Dynamics
  • Computational Science
  • Computers
  • Demographic Cohorts
  • Equations
  • Equations Of Motion
  • Euler Equations
  • Fluid Dynamics
  • Navier Stokes Equations
  • Physics
  • Spherical Harmonics
  • Theses
  • Waves
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Computational Fluid Dynamics (CFD)
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers