A Mesoscale Model Intercomparison

Abstract
An intercomparison of four mesoscale numerical prediction models that could lead to the selection of a model for use in the theater of operations by United States Air Force (USAF) meteorological personnel is described. Mesoscale numerical prediction models have matured, and recent advances in computer hardware make this a realizable objective. Two studies were launched to determine if a mesoscale model could be used operationally in theater and to select the model that produced the best forecast under simulated operational conditions. Of prime concern was not whether the model could produce reliable forecasts in data-rich areas, but how well the models operated and thus produced forecasts in data-sparse areas. The first study did an overall review of the available mesoscale numerical weather prediction models resulting in a general ranking of the models by expected forecast ability and operational maturity. At the conclusion of this study it became apparent that a more in-depth analysis was needed to dist... An intercomparison of four mesoscale numerical prediction models that could lead to the selection of a model for use in the theater of operations by United States Air Force (USAF) meteorological personnel is described. Mesoscale numerical prediction models have matured, and recent advances in computer hardware make this a realizable objective. Two studies were launched to determine if a mesoscale model could be used operationally in theater and to select the model that produced the best forecast under simulated operational conditions. Of prime concern was not whether the model could produce reliable forecasts in data-rich areas, but how well the models operated and thus produced forecasts in data-sparse areas. The first study did an overall review of the available mesoscale numerical weather prediction models resulting in a general ranking of the models by expected forecast ability and operational maturity. At the conclusion of this study it became apparent that a more in-depth analysis was needed to dist...