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

Contributor(s): Series: ARL-TR-5241White Sands Missile Range, NM : U.S. Army Research Laboratory, JUL 2010Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
Subject(s): Summary: 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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Item type Current library Call number Copy number Status Date due Barcode Item holds
REPORT REPORT NCAR Library STORAGE 101955 1 Available 50583010337123
Total holds: 0

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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