most citedA Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning

34 citations

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physics.ao-ph2022★ 15 cited

A new paradigm for medium-range severe weather forecasts: probabilistic random forest-based predictions

Aaron J. Hill, Russ S. Schumacher, Israel Jirak

Historical observations of severe weather and simulated severe weather environments (i.e., features) from the Global Ensemble Forecast System v12 (GEFSv12) Reforecast Dataset (GEFS…

physics.ao-ph2022★ 25 cited

A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine Learning

Randy J. Chase, David R. Harrison, Amanda Burke +2

Recently, the use of machine learning in meteorology has increased greatly. While many machine learning methods are not new, university classes on machine learning are largely unav…