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
☁ [July] Maria J. Molina was interviewed by Science News to discuss the new movie, "Twisters." [Link]
☁ [July] Alexander ("Sandy") J. Kerr (CS; undergraduate) and Luke Wichrowski (AOSC and CS; undergraduate) have joined our research group. Dr. Manuel Titos (Postdoc; University of Granada, Spain) is also visiting us for the summer. Welcome, Manuel, Sandy, and Luke!
☁ [June] Emily Wisinski and Maria J. Molina presented at the "Tropical Cyclones, Medicanes, and Climate Change” programme (TROPICANA) at the Institut Pascal in Paris-Saclay, France.
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.
