McGovern, Amy

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

Gagne, D. J., McGovern, A., Haupt, S. E., Sobash, R. A., Williams, J. K., & Xue, M. (2017) · Weather and Forecasting

Meteorological Phenomena and SimulationsPrecipitation Measurement and Analysis

Cited by 169

Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences

Boukabara, S.-A., Krasnopolsky, V., Penny, S. G., Stewart, J. Q., McGovern, A., Hall, D., Ten Hoeve, J. E., Hickey, J., Allen Huang, H.-L., Williams, J. K., et al. (2021) · Bulletin of the American Meteorological Society

Meteorological Phenomena and SimulationsArtificial Intelligence Applications

Cited by 87

Challenges and Benchmark Datasets for Machine Learning in the Atmospheric Sciences: Definition, Status, and Outlook

Dueben, P. D., Schultz, M. G., Chantry, M., Gagne, D. J., Hall, D. M., & McGovern, A. (2022) · Artificial Intelligence for the Earth Systems

Meteorological Phenomena and SimulationsArtificial Intelligence Applications

Cited by 64

Global extreme heat forecasting using neural weather models

Lopez-Gomez, I., McGovern, A., Agrawal, S., & Hickey, J. (2023) · Artificial Intelligence for the Earth Systems

Meteorological Phenomena and SimulationsClimate variability and models

Cited by 41

Machine learning in space: extending our reach

McGovern, A., & Wagstaff, K. L. (2011) · Machine Learning

Space Technology and ApplicationsReinforcement Learning in Robotics

Cited by 36

A Machine Learning Tutorial for Operational Meteorology. Part I: Traditional Machine Learning

Chase, R. J., Harrison, D. R., Burke, A., Lackmann, G. M., & McGovern, A. (2022) · Weather and Forecasting

Meteorological Phenomena and SimulationsData Mining and Machine Learning Applications

Cited by 25