Welcome! We focus on Predictability and Applied Research for the Earth-system with Training and Optimization (PARETO). As such, we use machine learning (e.g., neural networks) and numerical modeling systems (e.g., CESM) to answer pressing questions and address challenges in modeling the Earth system. Examples of problems that we are tackling include:
Our research also strives to incorporate open-source software and data, accessible communication, and multi-discipline collaboration (particularly with computer science).
Our group name, PARETO, is inspired by the Pareto frontier, a fundamental concept in optimization theory. The concept was named after the Italian economist Vilfredo Pareto (1848-1923) and delineates trade-offs between competing objectives.
Fall 2023 group photo. Pictured from left to right: Jhayron Steven Perez Carrasquilla, Emily Faith Wisinski, Erin Elise Evans, Hannah Bao, Cumulus, and Assistant Professor Maria J. Molina. Learn more about our group [here].
If you are interested in joining our group as a graduate researcher, please note that all interested applicants must apply online to be considered.
Recent News
☁ [April] Emily Wisinski earned the prestigious NSF Graduate Research Fellowship Program (GRFP) Award for her project titled, "Identifying Precursors to El Niño False Alarm Events." We are so incredibly proud of you, Emily!
☁ [April] Kyle Hall, from NOAA Physical Sciences Laboratory, will be joining our research group at UMD AOSC as a PhD Student next Fall 2024. Welcome to our team, Kyle!
☁ [April] Jon Starfeldt, from University of Wisconsin-Madison, will be joining our research group at UMD AOSC as a PhD Student next Fall 2024. Welcome to our team, Jon!
☁ [March] Dean Calhoun, from Purdue University, will be joining our research group at UMD AOSC as a PhD Student next Fall 2024. Welcome to our team, Dean!
More news available [here].
Recent Publications
☁ Fasullo, J., J. C. Golaz, J. Caron, N. Rosenbloom, G. Meehl, W. Strand, S. Glanville, S. Stevenson, M. J. Molina, C. Shields, C. Zhang, J. Benedict, and T. Bartoletti (2024). An Overview of the E3SM version 2 Large Ensemble and Comparison to other E3SM and CESM Large Ensembles. Earth System Dynamics. [Link]
☁ *Campbell, T., G. M. Lackmann, M. J. Molina, and M. D. Parker (2024). Severe Convective Storms in Limited Instability Organized by Pattern and Distribution. Weather and Forecasting. [Link]
☁ Shah, S. H., C. O'Lenick, A. Ramos Valle, J. Wan, O. Wilhelmi, K. Ash, C. M. Edgeley, M. J. Molina, J. Moulite, C. C. Pizzaro, K. Emard, O. Cameron, J. Done, C. W. Hazard, T. Hopson, M. Jones, F. Lacey, M. A. Lachaud, D. Lombardozzi, M. Mendez, R. Morss, K. Ricke, F. Tormos-Aponte, W. Wieder, and C. Williams (2023). Connecting Physical and Social Science Datasets: Challenges and Pathways Forward. Environmental Research Communications. [Link]
More publications available [here].
Any opinions, findings and conclusions or recommendations expressed herein do not necessarily reflect the views of the University of Maryland.
