Generation of a Gridded Meteorological Message (METGM) from Weather Research and Forecasting (WRF) Output Files and Initial Results

Abstract

Effective support for deep-fire missions requires a more accurate knowledge of atmospheric conditions than is presently available, especially for longer ranges. One key capability already in use by several NATO countries is the gridded meteorological (MET) message (METGM). The METGM consists of numerical weather prediction (NWP) output data that are presented in a standard format. The 3-D METGM (4-D if more than one forecast time) provides better MET information than the older 1-D computer MET message (METCM). Countries that adopted the METGM can convert NWP output into a METGM, but software developed for specific systems may not be readily available. Furthermore, development of conversion software has centered on European models and NWP formats used for models from major centers. There is no widely available capability to convert mesoscale model data using the Network Common Data Form format. This report presents a means to convert Weather Research and Forecasting model output in NetCDF format into a METGM. The METGM output of the current report is suitable for computation of firing solutions, but may not have all the optional output necessary for additional applications.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2019
Accession Number
AD1082482

Entities

People

  • James Cogan

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Artillery
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Grids
  • Ground Level
  • Latitude
  • Longitude
  • Military Research
  • Nato
  • Sea Level
  • Standards
  • Three Dimensional
  • United States
  • Weather Forecasting
  • Websites

Fields of Study

  • Environmental science

Readers

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