Robotics & Machine Learning Daily News2024,Issue(Apr.30) :87-88.

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]

Robotics & Machine Learning Daily News2024,Issue(Apr.30) :87-88.

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]

扫码查看

Abstract

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.”

Key words

Fort Collins/Colorado/United States/N orth and Central America/Cyborgs/Emerging Technologies/Machine Learning/Colo rado State University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文