A Mesoscale Modeling System Developed for the U.S. Army
Abstract
The U.S. Army Battlescale Forecast Model (BFM) is a short-range forecasting tool designed to run on a workstation in a tactical environment. The model is hydrostatic and remains computationally stable at large time steps due to alternating-direction implicit finite differencing. The model assimilates data using Newtonian relaxation to incorporate observations and time-tendencies of forecast variables from a previously run numerical model. The U.S. Army uses the BFM to produce real-time, short-range mesoscale forecasts either as input to tactical weather decision aids or to produce more precise firing solutions in artillery. Using a timely and accurate four-dimensional gridded database of meteorological information, a battlefield commander can receive critical guidance that can assist in determining appropriate courses of action in a rapidly changing battlefield weather environment. Standard statistical measures and a few case studies demonstrate the model s merits.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 2004
- Accession Number
- ADA424766
Entities
People
- Jeffrey Passner
- Pat Haines
- Robert E. Dumais Jr.
- Teizi Henmi
- Terry Jameson
Organizations
- United States Army Research Laboratory