Abstract
Researchers at the National Oceanic and Atmospheric Administration (NOAA), National Environmental Satellite, Data and Information Service (NESDIS) have been at the forefront in the development of precipitation retrieval algorithms from passive microwave sensors for over 20 years. This includes algorithms used for the DMSP Special Sensor Microwave Imager (SSM/I), the TRMM Microwave Imager (TMI), the NOAA Advanced Microwave Sounding Unit (AMSU) and the EOS Aqua Advanced Scanning Microwave Radiometer (AMSR-E). NOAA requires such retrievals to support two of its main scientific mission elements: Weather and Water and Climate Monitoring and Prediction. This presents an overview of the algorithm development, recent advances (i.e., the expansion of the retrievals to over snow covered surfaces) and future plans (i.e., the development of a general retrieval framework adaptable for use with any microwave sensor) as NOAA enters into the National Polar-orbiting Operational Environmental Satellite System (NPOESS) and Global Precipitation Measurement (GPM) era. Application examples to highlight the use of these products at NOAA are also presented.
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