34 citations
3 papers
cs.LG2022★ 34 cited
A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning
Randy J. Chase, David R. Harrison, Gary Lackmann +1
Over the past decade the use of machine learning in meteorology has grown rapidly. Specifically neural networks and deep learning have been used at an unprecedented rate. In order…
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…