David John Gagne

Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning

Amy McGovern, Ryan Lagerquist, David John Gagne et al. · Bulletin of the American Meteorological Society · 2019 · 549 citations · Full text

Computing, Computer Science, Meteorology +11

Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather

Amy McGovern, Kimberly L. Elmore, David John Gagne et al. · Bulletin of the American Meteorological Society · 2017 · 447 citations

Natural Sciences, Computer Science, Meteorology +17

Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms

David John Gagne, Sue Ellen Haupt, Douglas Nychka et al. · Monthly Weather Review · 2019 · 221 citations · Full text

Natural Sciences, Earth Sciences, Meteorology +17

Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model

David John Gagne, Hannah M. Christensen, Aneesh C. Subramanian et al. · Journal of Advances in Modeling Earth Systems · 2020 · 203 citations · Full text

Computing, Computer Science, Meteorology +15

Storm-Based Probabilistic Hail Forecasting with Machine Learning Applied to Convection-Allowing Ensembles

David John Gagne, Amy McGovern, Sue Ellen Haupt et al. · Weather and Forecasting · 2017 · 171 citations

Natural Sciences, Computer Science, Meteorology +17