Numerical Techniques and Cloud-Scale Processes for High-Resolution Models

Abstract

The long-term goal of this project is to improve the existing U.S. Navy mesoscale atmospheric forecast model, the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS (trademark)), and maintain it at the leading edge of Numerical Weather Prediction (NWP) models, while at the same time continue developing the next-generation model. In the near future, a change of paradigm to a unified approach in NWP will necessitate a novel approach in modeling. The project has two main objectives. First, to continue development of the model based on Spectral Element (SE) methods and evaluate detailed simulations in two-dimensions (2D) and preliminary tests in three dimensions (3D). In addition, improvements to the numerical temporal integration scheme will be sought. Second, to improve the current generation version of COAMPS by implementing state-of-the-science numerical methods such as Weighted Essentially Non-Oscillatory (WENO) based methods for tracer transport and semi-lagrangian time stepping for improved model efficiency. In our two-pronged approach, we will leverage our efforts to advance both the SE model and COAMPS.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2011
Accession Number
ADA557266

Entities

People

  • James D. Doyle

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Advection
  • Atmospheric Sciences
  • Boundary Layer
  • Demographic Cohorts
  • High Resolution
  • Latent Heat
  • Leading Edges
  • Military Research
  • Mountains
  • Navy
  • Power Spectra
  • Simulations
  • Spectra
  • Three Dimensional
  • Transport Ships
  • Two Dimensional
  • 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

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms