Improved Sub-Grid Physical Parameterization Schemes for NOGAPS
NAVAL RESEARCH LAB MONTEREY CA
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The ultimate goal of this project is to improve the global numerical weather predictions for DOD. This objective is obtained by developing state-of-the-art physical parameterizations for the Navy Operational Global Atmospheric Prediction System NOGAPS that clearly demonstrate a superior statistical skill over existing techniques when tested in a data assimilation cycle similar to that used in operations. The objective of this project is to improve the sub-grid physical parameterizations used in the forecast model of the Navys global numerical weather forecast system to reduce its systematic errors and improve its tropical cyclone predictions. The products from this model are used to provide weather information for military planning and exercises to provide boundary conditions for mesoscale models and to provide surface fluxes to ocean, wave, and ice prediction models. Accurate depictions of the atmosphere with a range of scales from global to mesoscale, for weather phenomena such as tropical cyclones, fronts, and intense precipitation, depend crucially on proper simulations of the sub-grid scale physical processes. The payoffs for improving the global forecast system through the improvement of physical parameterizations will provide improved forecast guidance and products for many Fleet activities such as ship routing, flight planning, mission planning, and weather hazard avoidance.
- Numerical Mathematics