Physically-Based High Resolution Surface Wind and Temperature Analysis for EPAMS.

Abstract

This report documents the theoretical basis, development, and computational structure of a numerical computer analysis routine incorporated in the US Army Experimental Prototype Automatic Meteorological System (EPAMS) for the estimation of surface layer wind fields at sub-mesoscale resolution (approx. 100 meters) over a limited area in broken topography. The geographically re-locatable analysis exploits detailed topographic information but requires only limited meteorological information. The physically-based analysis uses Gauss' Principle of Least Constraints for a variational adjustment of an initial estimated wind field in a single surface layer to conform with terrain structure, mass conservation, and buoyancy forces. Fields of surface air temperature are also produced. Initial meteorological input is obtained from the EPAMS data base by an automated analysis which is described in detail. The segmentation structure of the computational program levels is presented. Appendices provide user instructions, detailed algorithms, and example wind field estimates. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1978
Accession Number
ADA055861

Entities

People

  • Joseph A. Ball
  • Steven A. Johnson

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Atmospheric Motion
  • Boundary Layer
  • Buoyancy
  • Computational Fluid Dynamics
  • Computational Science
  • Coordinate Systems
  • Data Analysis
  • Databases
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Geostrophic Wind
  • Measurement
  • Stratified Fluids
  • Temperature Gradients
  • Turbulence
  • Wind Velocity

Fields of Study

  • Environmental science

Readers

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