output
20112025
most citedUsing Machine Learning to Calibrate Storm-Scale Probabilistic Guidance of Severe Weather Hazards in the Warn-on-Forecast System

67 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.LG2023★ 26 cited

Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications

John S. Schreck, David John Gagne, Charlie Becker +13

Robust quantification of predictive uncertainty is critical for understanding factors that drive weather and climate outcomes. Ensembles provide predictive uncertainty estimates an…

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…