Air Mass Forecasts Using the Mesoscale Model Version 5 (MM5)

Report No. ARL-TR-4032
Authors: Jeff Passner
Date/Pages: January 2007; 28 pages
Abstract: Weather can play a significant role in military planning and operations; thus, the U.S. Army Research Laboratory has developed a number of decision aids to optimize the use of weather conditions and forecasts in the battlefield. These weather variables are most often derived from mesoscale weather models, which provide weather forecast information from 0 to 48 h. The most basic variables, such as temperature, moisture, and wind data, are output from the model directly, but many of the decision aids need more sophisticated information for their systems, such as icing, turbulence, and air mass type. This study will investigate the relationship between model output and air mass forecasts. The model used is the Fifth-Generation National Center for Atmospheric Research (NCAR)/Penn State Mesoscale Model (MM5), which was centered on the urban, complex terrain of Salt Lake City, UT.
Distribution: Approved for public release
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Last Update / Reviewed: January 1, 2007