David John Gagne
NSF National Center for Atmospheric Research(US)University Corporation for Atmospheric Research(US)
Publications by Year
Research Areas
Meteorological Phenomena and Simulations, Climate variability and models, Precipitation Measurement and Analysis, Hydrological Forecasting Using AI, Wind and Air Flow Studies
Most-Cited Works
- → Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning(2019)529 cited
- → Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather(2017)434 cited
- → Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms(2019)215 cited
- → Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model(2020)202 cited
- → Storm-Based Probabilistic Hail Forecasting with Machine Learning Applied to Convection-Allowing Ensembles(2017)163 cited
- → Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain. Part I: Daily Maximum and Minimum 2-m Temperature(2020)132 cited