About Me
I'm currently studying atmospheric predictability and climate dynamics by leveraging machine learning techniques while pursuing a Ph.D. with Dr. Maria Molina at the Atmospheric and Oceanic Science Department at the University of Maryland 🇺🇸. Currently, I am part of the Fresh Eyes on CMIP initiative, working with the Data Analysis group focusing on multi-model ensembles. I recently visited NCAR at Boulder, CO, as part of the Graduate Visitor Program. I focused on evaluating long-term changes on the large-scale mid-latitude circulation and the impacts on surface weather.
I earned a bachelor's degree in engineering and a master's degree in water resources from the Universidad Nacional de Colombia 🇨🇴. My main research interests are large-scale atmospheric dynamics, variability, and predictability, moist convection, extreme weather events, and climate change 🌦️⛈️🌪️. My work has mainly aimed at applying machine learning and numerical modeling to gain a physical understanding of climatology, meteorology, hydrology, and air quality problems 💻🌎. I also enjoy playing and watching sports, watching movies, reading, music, and beer-brewing ⚽🎾🏓🍿📚🎵🍻.
Research Interests
I'm currently deepening my knowledge of atmospheric dynamics and machine learning to use new computational and data-driven methods to understand better the processes that affect people's everyday lives, including extreme weather events, climate variability, and climate change 🤓. My Ph.D. research is focused on using artificial intelligence to study the characteristics and potential future changes of the different Earth system processes that contribute to the S2S predictability of large-scale atmospheric patterns, while also studying their causal pathways 🌎.
My master thesis was mainly about how the internal dynamics of tropical cyclones behave when the storm is intensifying 🌀, and my undergraduate thesis was about how the origin of air parcels affected the characteristics of extreme precipitation events over the Colombian Andean region ⛰️. Additionally, I have some experience with idealized modeling and empirical forecasts of air quality, meteorological and hydrological variables. I have mostly used Python during my career to handle data from satellite, reanalysis, ground-based stations, radar, and model outputs 🐍.
Additional links
Public manuscripts
- (Under review) Molina, M. J., McGovern, A., Perez-Carrasquilla, J. S., & Tanamachi, R. L. (2024)., Using Generative Artificial Intelligence Creatively in the Classroom: Examples and Lessons Learned. Submitted to Bulletin of the American Meteorological Society. Web access.
- (Under review) Pérez-Carrasquilla, J. S. & Molina, M. J. (2024)., An Earth-System-Oriented View of the S2S Predictability of North American Weather Regimes. Submitted to Artificial Intelligence for the Earth Systems. Web access.
- Chen, J., Yang, S., Fang, X., Lin, S., Pérez-Carrasquilla, J. S., Cai, F., Chen, W. & Wu J. (2024)., A novel index for depicting ENSO transition with application in ENSO-East Asian summer monsoon relationship.. Environmental Research Letters. Web access.
- Pérez-Carrasquilla, Jhayron S., Montoya P., Sánchez J. M., Ramírez M. (2023)., Forecasting 24-hour-averaged PM2.5 concentration in the Aburrá Valley using tree-based ML models, global forecasts, and satellite information. Advances in Statistical Climatology, Meteorology and Oceanography, Volume 9, Issue 2, 121–135, 2023. Web access.
- (Master’s thesis) J., Pérez-Carrasquilla & Hoyos, C. D. (2021)., Tropical cyclone rapid intensification: spatio-temporal variability, inner-core dynamics, and environmental control. Universidad Nacional de Colombia, Sede Medellín. Web access.
- (Conference Paper) Pérez-Carrasquilla, Jhayron S., and Hoyos, Carlos D. (2021). Characterization of the Thermodynamics, Life Cycle and Influence Over the Mean Flow of Inner Core Processes in Tropical Cyclones: Observational and Idealized Modelling Approach. 34th Conference on Hurricanes and Tropical Meteorology. AMS, 2021. Web access.
- Hoyos, C. D., Ceballos, L. I., Pérez-Carrasquilla, J. S., Sepúlveda, J., López-Zapata, S. M., Zuluaga, M. D., ... & Zapata, M. (2019). Meteorological conditions leading to the 2015 Salgar flash flood: lessons for vulnerable regions in tropical complex terrain. Natural Hazards and Earth System Sciences, 19(11), 2635-2665. Web access.