THE GOAL OF THIS PROPOSAL INVOLVES FORMALIZING THE WAYS WE CAN COMBINE THE KNOWLEDGE OF LAND AND ATMOSPHERIC RADIATIVE TRANSFER MODELS TO UNDERSTAND WHY WHEN AND TO WHAT EXTENT THE MICROWAVE SIGNALS OF SNOWFALL CLOUD LIQUID WATER AND SNOW COVER ARE DIFFERENT AS WELL AS DEVELOPING FUNDAMENTALLY NEW ALGORITHMS FOR IMPROVED PASSIVE RETRIEVALS AND FORECASTS OF SNOWFALL USING DATA FROM THE GPM SATELLITE. THE PI'S RESEARCH HAS ALREADY HAD A NUMBER OF SUCCESSES SUCH AS DEVELOPING MODERN BAYESIAN ALGORITHMS FOR RAINFALL AND SNOWFALL RETRIEVALS USING THE TRMM AND GPM DATA AND DEMONSTRATING THE IMPACTS OF MULTI-SATELLITE DATA ASSIMILATION FOR IMPROVING PRECIPITATION AND SOIL MOISTURE FORECASTS.

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