Data Assimilation and Physical Parameterization Studies

Abstract : LONG TERM GOALS: Investigate methods to advance our understanding of dynamical and physical processes in the atmosphere, particularly in the areas of data assimilation and physical processes. Use this information to enhance our ability to predict the atmosphere using global and mesoscale numerical models. OBJECTIVES: Investigate methods for producing the most effective data assimilation system for weather forecasting. Establish common radiation parameterizations in the numerical models at the Naval Research Laboratory (NRL). APPROACH: Leverage the university research community to develop and refine basic scientific principles that can be applied to the advanced development of numerical weather prediction systems. Incorporate these principles into NRL s global model, the Navy Operational Global Atmospheric Prediction System (NOGAPS) and NRL s mesoscale model, the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS).