Use of High Performance Computing to Conduct Fine Scale Numerical Simulations of Atmospheric Flow in Complex Terrain

Abstract

Numerous observational and modeling studies have revealed a wide variety of atmospheric flows around, through and above terrain obstacles. Most such studies, however, have considered fairly simple terrain such as an isolated summit or an infinite perpendicular barrier exposed to uniform or relatively simple atmospheric conditions. Real terrain and real atmospheric conditions are considerably more complex than those used in the above mentioned studies and the resulting atmospheric flow is even more complicated and diverse. This paper highlights the results from a series of high resolution (1.0 km grid spacing) numerical simulations using the National Taiwan University (NTU) / Purdue model for a variety of flow situations such as hydraulic jump, lee waves, juxtaposition of supercritical and sub-critical flows, etc. To complete these computations in a reasonable amount of time, the NTU/Purdue model simulations were run on a 1024-node Linux Networx Evolocity II cluster at the Army Research Laboratory (ARL) Ma\or Shared Resource Center (MSRC). The parallelized NTU/Purdue model's scalability characteristics were evaluated for a fixed grid size, with the number of processors ranging from 4 to 128; the model scales very well up to at least 128 processors on the ARL MSRC's Linux cluster.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA481181

Entities

People

  • D.. J. Grove
  • P. A. Haines
  • W. Hsu
  • Weiqin Sun

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustic Propagation
  • Aircrafts
  • Boundary Layer
  • Equations
  • Froude Number
  • Gravity Waves
  • High Performance Computing
  • High Resolution
  • Military Research
  • Radar
  • Scalability
  • Sea Level
  • Simulations
  • Stratified Fluids
  • Three Dimensional
  • Turbulence
  • Weather Forecasting

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Fluid Dynamics (CFD)
  • Parallel and Distributed Computing.

Technology Areas

  • Space