Personal profile
Research interests
Artificial intelligence, weather extremes, climate variability and change
Biography
I am a Scientist V within the Earth System Predictability section in CGD. I am also an Assistant Professor within the Department of Atmospheric and Oceanic Science (AOSC) at the University of Maryland and an Affiliate Faculty with the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM) and the University of Maryland Institute for Advanced Computer Studies (UMIACS). I am an Adjunct Assistant Professor within the Department of Marine, Earth, and Atmospheric Sciences at North Carolina State University. I serve on the WCRP Scientific Steering Group for the Earth System Modelling and Observations (ESMO) Core Project and the US CLIVAR Predictability, Predictions, and Applications Interface (PPAI) panel. I received the NASA Early Career Investigator Program in Earth Science Award in 2024.
Related documents
Education/Academic qualification
Atmospheric Science/Meteorology, PhD, Central Michigan University
Award Date: Aug 1 2019
Climatology, MA, Columbia University in the City of New York
Award Date: Oct 1 2015
Meteorology, BS, Florida State University
Award Date: May 1 2008
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Collaborations and top research areas from the last five years
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Analyzing Atmospheric River Reforecasts: Self-Organizing Error Patterns and Synoptic-Scale Settings
Easthom, G., Lackmann, G. M., Molina, M. J., Dehaan, L. & Cordeira, J. M., Jul 2025, In: Weather and Forecasting. 40, 7, p. 1241-1264 24 p.Research output: Contribution to journal › Article › peer-review
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Can Transfer Learning be Used to Identify Tropical State-Dependent Bias Relevant to Midlatitude Subseasonal Predictability?
Mayer, K. J., Dagon, K. & Molina, M. J., 2025, In: Artificial Intelligence for the Earth Systems.Research output: Contribution to journal › Article › peer-review
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Measuring Sharpness of AI-Generated Meteorological Imagery
Ebert-Uphoff, I., Hoef, L. V., Schreck, J. S., Stock, J., Molina, M. J., McGovern, A., Yu, M., Petzke, B., Hilburn, K., Hall, D. M., Gagne, D. J., Campbell, W. F., Radford, J. T., Stewart, J. Q. & Scheuerman, S., 2025, In: Artificial Intelligence for the Earth Systems. 4, 3, p. e240083Research output: Contribution to journal › Article › peer-review
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Mesoscale Convective Systems Tracking Method Intercomparison (MCSMIP): Application to DYAMOND Global km-Scale Simulations
Feng, Z., Prein, A. F., Kukulies, J., Fiolleau, T., Jones, W. K., Maybee, B., Moon, Z. L., Núñez Ocasio, K. M., Dong, W., Molina, M. J., Albright, M. G., Rajagopal, M., Robledo, V., Song, J., Song, F., Leung, L. R., Varble, A. C., Klein, C., Roca, R. & Feng, R. & 1 others, , Apr 28 2025, In: Journal of Geophysical Research: Atmospheres. 130, 8, e2024JD042204.Research output: Contribution to journal › Article › peer-review
Open Access17 Scopus citations -
On the Definition and Tracking of Tropical Cyclone Seeds from a Climate Perspective
Wang, Z., Rios-Berrios, R., Stern, D. P., Baker, A. J., Beucler, T., Camargo, S. J., Duvel, J. P., Feng, X., Lee, C. Y., Leroux, M. D., Li, H., Macholl, J., Molina, M. J., Núñez Ocasio, K. M., Ramsay, H. A., Ritchie, E. A., Schenkel, B. A., Stansfield, A. M., Ayar, P. V. & Wisinski, E., Sep 2025, In: Bulletin of the American Meteorological Society. 106, 9, p. E1815-E1822Research output: Contribution to journal › Comment/debate
Open Access2 Scopus citations