基于天气研究与预报模式的气候学

F. Vandenberghe, M. Barlage, S. Swerdlin, Judith D. Gardiner, Ashok Krishnamurthy, A. Chalker
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引用次数: 1

摘要

由于在陆军测试和评估司令部(ATEC)靶场的测试通常只能在特定的大气条件下进行,因此每个靶场的气候学可能是远程测试规划的非常有用的工具。这些数据集可以提供近地风速、云量百分比、温度、降水、湍流强度、高层大气风速等的概率密度函数,作为一年中的月份、一天中的时间和范围上的位置的函数。STAR研究所在俄亥俄州超级计算机中心的指导下,正致力于将国家大气研究中心开发的气候四维数据同化(CFDDA)技术移植到第三版天气和研究预报(WRF)模型中,用于国防部高性能计算现代化计划的系统。生成与过去20年每小时观测数据和模式动态一致的区域再分析,在杜格威试验场范围内的精细尺度(3公里网格)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Climatologies Based on the Weather Research and Forecast (WRF) Model
Because tests at Army Test and Evaluation Command (ATEC) ranges can often only be conducted under specific atmospheric conditions, climatologies of each range could be a very useful tool for long-range test planning. Such datasets can provide the probability density function of near-surface wind speed, percent cloud cover, temperature, precipitation, turbulence intensity, upper-atmospheric wind speed, etc., as a function of the month of the year, time of day, and location on the range. The STAR Institute with guidance from the Ohio Supercomputer Center is working on porting the Climate Four Dimensional Data Assimilation (CFDDA) technology developed by the National Center for Atmospheric Research to version 3 of the Weather and Research Forecast (WRF) model for use on systems within the Department of Defense High Performance Computing Modernization Prograf m. The fully parallelized WRF-CFDDA system uses data-assimilation by Newtonian relaxation, to generate a regional reanalysis that is consistent with both observations and model dynamics for every hour of the past 20 years, at fine scales (3 km grid) over the Dugway Proving Ground range.
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