Validating GOES Radar Estimation via Machine Learning to Inform NWP (GREMLIN) product over CONUS
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DOI: 10.1175/jamc-d-23-0103.1
Abstract: Geostationary Operational Environmental Satellites (GOES) Radar Estimation via Machine Learning to Inform NWP (GREMLIN) is a machine learning model that outputs composite reflectivity using GOES-R Series Advanced Baseline Imager (ABI) and Geostationary Lightning Mapper (GLM)… read more here.
Keywords: goes radar; machine learning; radar estimation; gremlin ... See more keywords