Meteorological Data Processing Methods in the Computer-Assisted Artillery Meteorology System (Battlescale Forecast Model)

Abstract

The purpose of this report is to present basic information on the theoretical and practical meteorological (met) principles employed in the Computer-Assisted Artillery Meteorology (CAAM) system using the Battlescale Forecast Model (BFM). CAAM (BFM) was designed to assimilate several types of met inputs, process these data, and produce artillery met messages, all on the battlefield. Central to this system is the use of a mesoscale atmospheric prediction model (the BFM). The introduction gives a history of the program and an overview of the design of CAAM. The model domain is described in terms of an area of operations and the data required to operate the model. Model initialization in terms of a three-dimensional objective analysis is described for two modes: with and without the input from a larger scale forecast model. The methods of the BFM are described in terms of initialization, nudging to the objective analysis, and the model forecast technique. The output of CAAM consists of two kinds of artillery computer met messages; these are derived from both the objective analysis and the BFM results. Finally, future improvements are mentioned.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1997
Accession Number
ADA330442

Entities

People

  • Abel J. Blanco
  • J. B. Spalding
  • Patrick A. Haines
  • S. A. Luces

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artillery
  • Atmospheric Sciences
  • Atmospheric Temperature
  • Battlefields
  • Boundary Layer
  • Computers
  • Coordinate Systems
  • Data Processing
  • Grids
  • Meteorological Data
  • Meteorology
  • Pressure Gradients
  • Terrain Following
  • Three Dimensional
  • Turbulence
  • Water Vapor
  • Weather

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.