Publications per year
Publications per year
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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- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Earth observations to mitigate flood impacts in Central America: translating research to decision-making and actions
Carey, L., Anderson, E., Hernández Sandoval, B., Cherrington, E., Nelson, E. J., Molina, M. J., Aguilar-Barboza, C. & Bermúdez, N., 2026, In: Geomatics, Natural Hazards and Risk. 17, 1, 2656718.Research output: Contribution to journal › Review article › peer-review
Open Access -
The Critical Need for Hindcast Infrastructure in Climate Science and Sectoral Applications
Anderson, W., Arcodia, M. C., Amaya, D., Becker, E., Callahan, J. A., Furtado, J. C., Kirtman, B., Kumar, S., L’heureux, M. L., Larson, S. M., Li, D., Molina, M. J., Newman, M., Pegion, K., Robertson, A., Towler, E. & Xiang, B., Mar 2026, In: Bulletin of the American Meteorological Society. 107, 3, p. E615-E627Research output: Contribution to journal › Article › peer-review
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Weather Regime Diversity, Transitions, and Trends Using Hexagonal Self-Organizing Maps
Wichrowski, L., Pérez-Carrasquilla, J. S. & Molina, M. J., Apr 28 2026, In: Journal of Geophysical Research: Atmospheres. 131, 8, e2025JD044874.Research output: Contribution to journal › Article › peer-review
Open Access -
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
2 Scopus citations -
Can Transfer Learning be Used to Identify Tropical State-Dependent Bias Relevant to Midlatitude Subseasonal Predictability?
Mayer, K. J., Dagon, K. & Molina, M. J., Oct 2025, In: Artificial Intelligence for the Earth Systems. 4, 4, 14 p., e240091.Research output: Contribution to journal › Article › peer-review
2 Citations (Web of Science)
Datasets
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Urban Heat MiniCubes
Starfeldt, J. (Contributor), Molina, M. (Creator), Kerr, A. (Contributor), Yang, A. (Contributor), Holmes, T. (Contributor) & Hain, C. (Contributor), NSF NCAR - National Center for Atmospheric Research, Apr 16 2026
DOI: 10.5065/GNGZ-2510
Dataset