| Making the black box more transparent: Understanding the physical implications of machine learning A McGovern, R Lagerquist, DJ Gagne, GE Jergensen, KL Elmore, ... Bulletin of the American Meteorological Society 100 (11), 2175-2199, 2019 | 468 | 2019 |
| Using artificial intelligence to improve real-time decision-making for high-impact weather A McGovern, KL Elmore, DJ Gagne, SE Haupt, CD Karstens, R Lagerquist, ... Bulletin of the American Meteorological Society 98 (10), 2073-2090, 2017 | 443 | 2017 |
| Storm-based probabilistic hail forecasting with machine learning applied to convection-allowing ensembles DJ Gagne, A McGovern, SE Haupt, RA Sobash, JK Williams, M Xue Weather and forecasting 32 (5), 1819-1840, 2017 | 199 | 2017 |
| Interpretable deep learning for spatial analysis of severe hailstorms DJ Gagne II, SE Haupt, DW Nychka, G Thompson Monthly Weather Review 147 (8), 2827-2845, 2019 | 195 | 2019 |
| Machine learning for stochastic parameterization: Generative adversarial networks in the Lorenz'96 model DJ Gagne, HM Christensen, AC Subramanian, AH Monahan Journal of Advances in Modeling Earth Systems 12 (3), e2019MS001896, 2020 | 162 | 2020 |
| Deep learning for spatially explicit prediction of synoptic-scale fronts R Lagerquist, A McGovern, DJ Gagne II Weather and Forecasting 34 (4), 1137-1160, 2019 | 110 | 2019 |
| Deep learning on three-dimensional multiscale data for next-hour tornado prediction R Lagerquist, A McGovern, CR Homeyer, DJ Gagne II, T Smith Monthly Weather Review 148 (7), 2837-2861, 2020 | 102 | 2020 |
| Machine learning enhancement of storm-scale ensemble probabilistic quantitative precipitation forecasts DJ Gagne, A McGovern, M Xue Weather and Forecasting 29 (4), 1024-1043, 2014 | 92 | 2014 |
| Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science A McGovern, I Ebert-Uphoff, DJ Gagne II, A Bostrom Environmental Data Science 1, e6, 2022 | 83 | 2022 |
| Deep-learning-based gridded downscaling of surface meteorological variables in complex terrain. Part I: Daily maximum and minimum 2-m temperature Y Sha, DJ Gagne II, G West, R Stull Journal of Applied Meteorology and Climatology 59 (12), 2057-2073, 2020 | 78 | 2020 |
| Machine learning the warm rain process A Gettelman, DJ Gagne, CC Chen, MW Christensen, ZJ Lebo, H Morrison, ... Journal of Advances in Modeling Earth Systems 13 (2), e2020MS002268, 2021 | 74 | 2021 |
| Classification of convective areas using decision trees DJ Gagne, A McGovern, J Brotzge Journal of Atmospheric and Oceanic Technology 26 (7), 1341-1353, 2009 | 73 | 2009 |
| Calibration of machine learning–based probabilistic hail predictions for operational forecasting A Burke, N Snook, DJ Gagne II, S McCorkle, A McGovern Weather and Forecasting 35 (1), 149-168, 2020 | 68 | 2020 |
| Deep-learning-based gridded downscaling of surface meteorological variables in complex terrain. Part II: Daily precipitation Y Sha, DJ Gagne II, G West, R Stull Journal of Applied Meteorology and Climatology 59 (12), 2075-2092, 2020 | 65 | 2020 |
| Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning A McGovern, DJ Gagne, JK Williams, RA Brown, JB Basara Machine learning 95, 27-50, 2014 | 64 | 2014 |
| Explicit forecasts of low-level rotation from convection-allowing models for next-day tornado prediction RA Sobash, GS Romine, CS Schwartz, DJ Gagne, ML Weisman Weather and Forecasting 31 (5), 1591-1614, 2016 | 62 | 2016 |
| Challenges and benchmark datasets for machine learning in the atmospheric sciences: Definition, status, and outlook PD Dueben, MG Schultz, M Chantry, DJ Gagne, DM Hall, A McGovern Artificial Intelligence for the Earth Systems 1 (3), e210002, 2022 | 54 | 2022 |
| Spatiotemporal relational probability trees: An introduction A McGovern, NC Hiers, M Collier, DJ Gagne II, RA Brown 2008 Eighth IEEE International Conference on Data Mining, 935-940, 2008 | 51 | 2008 |
| Evaluation of statistical learning configurations for gridded solar irradiance forecasting DJ Gagne II, A McGovern, SE Haupt, JK Williams Solar Energy 150, 383-393, 2017 | 45 | 2017 |
| Solar energy prediction: An international contest to initiate interdisciplinary research on compelling meteorological problems A McGovern, DJ Gagne, J Basara, TM Hamill, D Margolin Bulletin of the American Meteorological Society 96 (8), 1388-1395, 2015 | 39 | 2015 |
Amy McGovernUniversity of OklahomaVerified email at ou.edu
