The operational mesogamma-scale analysis and forecast system of the U.S. army test and evaluation command. Part I: Overview of the modeling system, the forecast products, and how the products are used

AMS Citation:
Liu, Y., and Coauthors, 2008: The operational mesogamma-scale analysis and forecast system of the U.S. army test and evaluation command. Part I: Overview of the modeling system, the forecast products, and how the products are used. Journal of Applied Meteorology and Climatology, 47, 1077-1092, doi:10.1175/2007JAMC1653.1.
Date:2008-04-01
Resource Type:article
Title:The operational mesogamma-scale analysis and forecast system of the U.S. army test and evaluation command. Part I: Overview of the modeling system, the forecast products, and how the products are used
Abstract: Given the rapid increase in the use of operational mesoscale models to satisfy different specialized needs, it is important for the community to share ideas and solutions for meeting the many associated challenges that encompass science, technology, education, and training. As a contribution toward this objective, this paper begins a series that reports on the characteristics and performance of an operational mesogamma-scale weather analysis and forecasting system that has been developed for use by the U.S. Army Test and Evaluation Command. During the more than five years that this four-dimensional weather system has been in use at seven U.S. Army test ranges, valuable experience has been gained about the production and effective use of high-resolution model products for satisfying a variety of needs. This paper serves as a foundation for the rest of the papers in the series by describing the operational requirements for the system, the data assimilation and forecasting system characteristics, and the forecaster training that is required for the finescale products to be used effectively.
Peer Review:Refereed
Copyright Information:Copyright 2008 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be "fair use" under Section 107 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Law (17 USC, as revised by P.L. 94-553) does not require the Society's permission. Republication, systematic reproduction, posting in electronic form on servers, or other uses of this material, except as exempted by the above statements, requires written permission or license from the AMS. Additional details are provided in the AMS Copyright Policies, available from the AMS at 617-227-2425 or amspubs@ametsoc.org. Permission to place a copy of this work on this server has been provided by the AMS. The AMS does not guarantee that the copy provided here is an accurate copy of the published work.
OpenSky citable URL: ark:/85065/d79c6xks
Publisher's Version: 10.1175/2007JAMC1653.1
Author(s):
  • Yubao Liu - NCAR/UCAR
  • Thomas Warner - NCAR/UCAR
  • James Bowers
  • Laurie Carson - NCAR/UCAR
  • Fei Chen
  • Charles Clough
  • Christopher Davis - NCAR/UCAR
  • Edward Ellison
  • Chris Egeland
  • Scott Halvorson - NCAR/UCAR
  • Terrence Huck
  • Leo Lachapelle
  • Robert Malone
  • Daran Rife - NCAR/UCAR
  • Rong-Shyang Sheu - NCAR/UCAR
  • Scott Swerdlin - NCAR/UCAR
  • Dean Weingarten
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