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Geostationary Earth Orbit Hyperspectral Infrared Radiance data improve local severe storm forecasts proofed by using a new Hybrid OSSE method

Scientists are developing data assimilation methods for Numerical Weather Prediction models that will increase the quality of initialization data from satellites. The Observing System Simulation Experiment (OSSE) is designed to use data assimilation to investigate the potential impact of future atmospheric observing systems. Traditional OSSE processes require significant effort to compute, simulate, and calibrate information, then assimilate the data to produce a forecast. Therefore, model meteo...
United States Jun Li University Of Wisconsin Madison Cooperative Institute For Meteorological Satellite Advances In Atmospheric Sciences Observing System Simulation Experiment

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