The operational mesogamma-scale analysis and forecast system of the US Army Test and evaluation command. Part I: Overview of the modeling system, the forecast products, and how the products are used

被引:104
作者
Liu, Yubao [1 ]
Warner, Thomas T. [1 ,2 ]
Bowers, James F. [3 ]
Carson, Laurie P. [1 ]
Chen, Fei [1 ]
Clough, Charles A. [4 ]
Davis, Christopher A. [1 ]
Egeland, Craig H. [5 ]
Halvorson, Scott F. [3 ]
Huck, Terrence W. [6 ]
Lachapelle, Leo [7 ]
Malone, Robert E. [8 ]
Rife, Daran L. [1 ]
Sheu, Rong-Shyang [1 ]
Swerdlin, Scott P. [1 ]
Weingarten, Dean S. [9 ]
机构
[1] Natl Ctr Atmospher Res, Boulder, CO 80307 USA
[2] Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA
[3] USA, Dugway, UT USA
[4] USA, Aberdeen Proving Ground, MD USA
[5] USA, Cold Reg Test Ctr, Ft Greely, AK USA
[6] USA, White Sands Missile Range, NM USA
[7] USA, Redstone Tech Test Ctr, Redstone Arsenal, AL USA
[8] USA, Ft Huachuca, AZ USA
[9] USA, Yuma, AZ USA
关键词
D O I
10.1175/2007JAMC1653.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
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.
引用
收藏
页码:1077 / 1092
页数:16
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