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Amy McGovern

University of Maryland College Park

36H-index
174Paper Count
4.4KCitation Count
Published Papers 37
Publication Date
Using Generative Artificial Intelligence Creatively in the Classroom and Research: Examples and Lessons Learned
err2025-11-01
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PREAI
errMolina, Maria J.; McGovern, Amy; Perez-Carrasquilla, Jhayron S.; Li, Xiaowen; Tanamachi, Robin L.
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(Re)Conceptualizing trustworthy AI: A foundation for change
err2025-05-01
err0
errOAAI
errWirz, Christopher D.; Demuth, Julie L.; Bostrom, Ann; Cains, Mariana G.; Ebert-Uphoff, Imme; Gagne II, David John; Schumacher, Andrea; Mcgovern, Amy; Madlambayan, Deianna
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An Assessment of How Domain Experts Evaluate Machine Learning in Operational Meteorology
err2025-02-17
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PREAI
errHarrison, David r.; Mcgovern, Amy; Karstens, Christopher d.; Bostrom, Ann; Demuth, Julie l.; Jirak, Israel j; Marsu, Patrick
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Exploring NWS Forecasters' Assessment of AI Guidance Trustworthiness
err2024-08-01
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PREAI
errCains, Mariana G.; Wirz, Christopher D.; Demuth, Julie L.; Bostrom, Ann; Gagne II, David John; McGovern, Amy; Sobash, Ryan A.; Madlambayan, Deianna
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Identifying and Categorizing Bias in AI/ML for Earth Sciences
err2024-03-01
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errOAAI
errMcgovern, Amy; Bostrom, Ann; Mcgraw, Marie; Chase, Randy J.; Gagne II, David John; Ebert-Uphoff, Imme; Musgrave, Kate D.; Schumacher, Andrea
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Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences
err2023-11-08
err13
errOAAI
errBostrom, Ann; Demuth, Julie L.; Wirz, Christopher D.; Cains, Mariana G.; Schumacher, Andrea; Madlambayan, Deianna; Bansal, Akansha Singh; Bearth, Angela; Chase, Randy; Crosman, Katherine M.; Ebert-Uphoff, Imme; Gagne, David John; Guikema, Seth; Hoffman, Robert; Johnson, Branden B.; Kumler-Bonfanti, Christina; Lee, John D.; Lowe, Anna; McGovern, Amy; Przybylo, Vanessa; Radford, Jacob T.; Roth, Emilie; Sutter, Carly; Tissot, Philippe; Roebber, Paul; Stewart, Jebb Q.; White, Miranda; Williams, John K.
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A Machine Learning Tutorial for Operational Meteorology. Part II: Neural Networks and Deep Learning
err2023-08-01
err18
errOAAI
errChase, Randy J.; Harrison, David R.; Lackmann, Gary M.; Mcgovern, Amy
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Trustworthy Artificial Intelligence for Environmental Sciences An Innovative Approach for Summer School
err2023-06-01
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errOAAI
errMcGovern, Amy; Gagne, David John; Wirz, Christopher D.; Ebert-Uphoff, Imme; Bostrom, Ann; Rao, Yuhan; Schumacher, Andrea; Flora, Montgomery; Chase, Randy; Mamalakis, Antonios; McGraw, Marie; Lagerquist, Ryan; Redmon, Robert J.; Peterson, Taysia
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Challenges and Opportunities in Numerical Weather Prediction
err2023-03-01
err14
errOAAI
errBrotzge, Jerald A.; Berchoff, Don; Carlis, DaNa L.; Carr, Frederick H.; Carr, Rachel Hogan; Gerth, Jordan J.; Gross, Brian D.; Hamill, Thomas M.; Haupt, Sue Ellen; Jacobs, Neil; McGovern, Amy; Stensrud, David J.; Szatkowski, Gary; Szunyogh, Istvan; Wang, Xuguang
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A Machine Learning Tutorial for Operational Meteorology. Part I: Traditional Machine Learning
err2022-08-01
err38
errOAAI
errChase, Randy J.; Harrison, David R.; Burke, Amanda; Lackmann, Gary M.; McGovern, Amy
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NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)
err2022-07-01
err8
errOAAI
errMcGovern, Amy; Bostrom, Ann; Davis, Phillip; Demuth, Julie L. L.; Ebert-Uphoff, Imme; He, Ruoying; Hickey, Jason; Gagne II, David John; Snook, Nathan; Stewart, Jebb Q. Q.; Thorncroft, Christopher; Tissot, Philippe; Williams, John K. K.
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The History and Practice of AI in the Environmental Sciences
err2022-05-01
err13
errOAAI
errHaupt, Sue Ellen; Gagne, David John; Hsieh, William W.; Krasnopolsky, Vladimir; McGovern, Amy; Marzban, Caren; Moninger, William; Lakshmanan, Valliappa; Tissot, Philippe; Williams, John K.
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Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences
err2021-05-01
err55
errOAAI
errBoukabara, Sid-Ahmed; Krasnopolsky, Vladimir; Penny, Stephen G.; Stewart, Jebb Q.; McGovern, Amy; Hall, David; Ten Hoeve, John E.; Hickey, Jason; Allen Huang, Hung-Lung; Williams, John K.; Ide, Kayo; Tissot, Philippe; Haupt, Sue Ellen; Casey, Kenneth S.; Oza, Nikunj; Geer, Alan J.; Maddy, Eric S.; Hoffman, Ross N.
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Data Availability Principles and Practice
err2020-12-01
err0
PREAI
errLackmann, Gary M.; Ancell, Brian; Bunkers, Matthew; Kirtman, Ben; Kosiba, Karen; McGovern, Amy; McMurdie, Lynn; Pu, Zhaoxia; Ritchie, Elizabeth; Huntington, Henry P.
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Classifying Convective Storms Using Machine Learning
err2020-03-11
err49
errOAAI
errJergensen, G. Eli; McGovern, Amy; Lagerquist, Ryan; Smith, Travis
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Calibration of Machine Learning-Based Probabilistic Hail Predictions for Operational Forecasting
err2020-01-23
err43
errOAAI
errBurke, Amanda; Snook, Nathan; Gagne, David John, II; Mccorkle, Sarah; Mcgovern, Amy
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Postprocessing Next-Day Ensemble Probabilistic Precipitation Forecasts Using Random Forests
err2019-12-17
err31
errOAAI
errLoken, Eric D.; Clark, Adam J.; McGovern, Amy; Flora, Montgomery; Knopfmeier, Kent
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