Development of the Nonhydrostatic Unified Model of the Atmosphere (NUMA): Limited-Area Mode (Preprint)

Abstract

This paper describes a Nonhydrostatic Unified Model of the Atmosphere (NUMA) based on a spectral element, or high-order continuous Galerkin (CG) spatial discretization utilizing 3D hexahedral elements. The nonhydrostatic dynamical core, based on the compressible Euler equations, is appropriate for both limited-area and global atmospheric simulations. In this paper we restrict our attention to 3D limited-area phenomena; global atmospheric simulations will be presented in a follow-up paper. A suite of explicit and semi-implicit time-integrators is presented. Domain decomposition and communication algorithms utilized by our distributed memory implementation is presented, allowing efficient evaluation of the the direct stiffness summation (DSS) operator. Numerical verification of the model is performed using four test cases: 1) 2D inertia-gravity waves, 2) flow past a 3D linear hydrostatic mountain, 3) flow past a 3D nonlinear mountain and 4) 3D buoyant convection of a bubble in a neutral atmosphere; these tests indicate that NUMA can simulate the necessary physics of a dry numerical weather prediction dynamical core. Scalability for the explicit dynamical core is demonstrated for 12288 cores on TACC?s Ranger cluster, while the semi-implicit core is shown to scale to 4096 cores on the same architecture.

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Document Details

Document Type
Technical Report
Publication Date
Apr 14, 2011
Accession Number
ADA546276

Entities

People

  • Francis Giraldo
  • James F. Kelly

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Atmospheres
  • Contour Integrals
  • Convection
  • Decomposition
  • Equations
  • Euler Equations
  • Gravity
  • Gravity Waves
  • Integrators
  • Linear Systems
  • Mathematics
  • Mountains
  • Simulations
  • Three Dimensional
  • Waves

Readers

  • Atmospheric Science/Meteorology
  • Computational Fluid Dynamics (CFD)