Different Initialization Data and the Performance by the BFM

Report No. ARL-TR-3362
Authors: Jeffrey E. Passner
Date/Pages: November 2004; 36 pages
Abstract: The U.S. Army Research Laboratory supports the forecaster by producing weather forecasts on the Integrated Meteorological System (IMETS). On IMETS, a mesoscale model known as the Battlescale Forecast Model (BFM) outputs many weather parameters, including temperature, pressure, dew point, relative humidity, and wind speed. Additionally, many other elements, such as icing, turbulence, clouds, and visibility, are produced in the post-processor. This report investigates how these model outputs are influenced by the initial data that the model incorporates. These influences are studied by evaluating the model?s temperature, wind, moisture, and cloud forecasts from 0 to 12 h after model base time. In this study, two different models are used to initialize the BFM: the Pennsylvania State University/ National Center for Atmospheric Research Mesoscale Model Version 5 and the Naval Operational Global Atmospheric Prediction System model. The results are discussed in this report.
Distribution: Approved for public release
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Last Update / Reviewed: November 1, 2004