| Evaluation of the Weather Research and Forecast Model Over Dugway, Utah During 2009 |
Nov-2009 |
68 pages |
| Authors:
Robert Dumais; Robert Flanigan; Barbara Sauter; Jeffrey Passner; ARMY RESEARCH LAB WHITE SANDS MISSILE RANGE NM COMPUTATIONAL AND INFORMATION SCIENCE DIRECTORATE
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 | The U.S. Army Research Laboratory (ARL) performed numerous case studies of the Advanced Research version of the Weather Research and Forecasting (WRF) model at horizontal resolutions of 3 and 1 km to better understand weather output for military use. ARL's devised model sensitivity experiments of several WRF parameterizations including the vertical resolution of 40, 60, and 80 levels, model time steps of 9 and 3 seconds, three different explicit microphysics, ... |
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| Using the Advanced Research Version of the Weather Research and Forecast Model in Support of ScanEagle Unmanned Aircraft System Test Flights |
Mar-2009 |
42 pages |
| Authors:
Robert Flanigan; Jeffrey E Passner; Robert E Jr; Dumais; Stephen Kirby; ARMY RESEARCH LAB WHITE SANDS MISSILE RANGE NM COMPUTATIONAL AND INFORMATION SCIENCE DIRECTORATE
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| The U.S. Army Cold Regions Research and Engineering Laboratory (CRREL) supported unmanned aircraft flights in a specified airspace domain at Yuma Proving Ground (YPG) in November and December 2007. The Battlefield Environment Division of the Computational and Information Sciences Directorate (CISD), Army Research Laboratory (ARL), was asked to provide real-time meteorological modeling support and weather products such as low-level wind and turbulence forecasts at YPG to help determine areas and ... |
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| Development and Application of an Evaluation Method for the WRF Mesoscale Model |
SEP 2005 |
34 pages |
| Authors:
Teizi Henmi; Robert Flanigan; Richard Padilla; ARMY RESEARCH LAB WHITE SANDS MISSILE RANGE NM
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| This report establishes automated methods of obtaining and archiving initialization and time-dependent lateral condition data for the Weather Research and Forecast (WRF) mesoscale model. The data includes Eta forecast data, MADIS surface data, and upper-air sounding data. Statistical analysis methods that compare surface and upper-air data between model calculation and observation have also been established and are described in detail. In this study, the WRF was applied to model domains ... |
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