Assessment of Storm-Scale Real Time Assimilation of GOES-16 GLM Lightning-Derived Water Vapor Mass on Short Term Precipitation Forecasts During the 2020 Spring Forecast Experiment Journal of Geophysical Research: Atmospheres
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This study assesses the impact of assimilating pseudo-observations for water vapor mass derived from the Geostationary Operational Environmental Satellites GOES-16 lightning data on short-term quantitative precipitation forecasts (QPFs) over the contiguous United States (CONUS), with an emphasis given to regions characterized by an overall poor radar coverage. Grant no. NA11OAR4320072 Grant no. NA18NWS4680063
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2022-12-21
