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A Comparison of Post-processed Variables used by the Tri-Service Version of the Integrated Weather Effects Decision Aid by Jeffrey Passner.

by Passner, Jeffrey; U.S. Army Research Laboratory.
Series: ARL-TR-5241. Publisher: White Sands Missile Range, NM : U.S. Army Research Laboratory, JUL 2010Subject(s): WRF | GFS | Parameters | TIWEDASummary: The U.S. Army Research Laboratory (ARL) has developed a “red-amber-green” mission-planning aid for Army commanders to advise them when and where the environmental conditions currently exceed or are forecasted to exceed levels of “marginal” or “severe” impact to their systems, operations, or personnel. A Tri-service version of the software has been developed and fielded on Air Force and Navy systems. Meteorological data is provided to the Tri-Service Integrated Weather Effects Decision Aid (T-IWEDA) from both the Weather Research and Forecasting (WRF) model and ½-degree Global Forecast System (GFS) output. Once the model output is received, many of the weather variables needed by the T-IWEDA rules are developed by both Air Force Weather Agency (AFWA) and ARL in their post-processing software so that mission planning can be achieved based on the weather conditions. This report looks at the different and unique approaches to solving forecasting challenges such as clouds, icing, and turbulence.
Item type Location Call number Copy Status Date due
REPORT REPORT Mesa Lab 101955 (Browse shelf) 1 Available

Final rept.

APPROVED FOR PUBLIC RELEASE.

The U.S. Army Research Laboratory (ARL) has developed a “red-amber-green” mission-planning aid for Army commanders to advise them when and where the environmental conditions currently exceed or are forecasted to exceed levels of “marginal” or “severe” impact to their systems, operations, or personnel. A Tri-service version of the software has been developed and fielded on Air Force and Navy systems. Meteorological data is provided to the Tri-Service Integrated Weather Effects Decision Aid (T-IWEDA) from both the Weather Research and Forecasting (WRF) model and ½-degree Global Forecast System (GFS) output. Once the model output is received, many of the weather variables needed by the T-IWEDA rules are developed by both Air Force Weather Agency (AFWA) and ARL in their post-processing software so that mission planning can be achieved based on the weather conditions. This report looks at the different and unique approaches to solving forecasting challenges such as clouds, icing, and turbulence.

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