首页|Findings from Colorado State University Update Understanding of Machine Learning [Validating Goes Radar Estimation Via Machine Learning To In form Nwp (Gremlin) Product Over Conus]
Findings from Colorado State University Update Understanding of Machine Learning [Validating Goes Radar Estimation Via Machine Learning To In form Nwp (Gremlin) Product Over Conus]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Fort Collins, Colorado , by NewsRx journalists, research stated, “Geostationary OperationalEnvironment al Satellites (GOES) Radar Estimation via Machine Learning to Inform NWP (GREMLI N)is a machine learning model that outputs composite reflectivity using GOES -R Series Advanced BaselineImager (ABI) and Geostationary Lightning Mapper (GLM) input data. GREMLIN is useful for observingsevere weather and initializing conv ection for short-term forecasts, especially over regions without ground-based r adars.”
Fort CollinsColoradoUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningColo rado State University