Dr. Cristina Radin

Since 2025 Research Scientist, Universität Hamburg. Project AI4PEX: “Artificial Intelligence for enhanced representation of processes and extremes in Earth System Models”.

2020 – 2024 PhD, University of Valencia, Spain. Thesis: “Machine learning for anticipating sea level variability from regional temperature shifts”.

2019 – 2020 M.S. in Remote Sensing, University of Valencia, Spain. Final Project: “Decadal, regional sea level assessment using advanced statistical techniques”.

2017 – 2018 Post Graduate Degree in Industrial and Environmental Applications in Remote Measurement of the Temperature, Spain.

2014 – 2019 B.S. in Physics, University of Valencia, Spain. Final Project: “Study of Saharan aerosol episodes in Valencia”.

My research interests focus on applying advanced statistical methods to evaluate current and future states of the Earth’s climate system. I am currently working on integrating dynamical ocean biogeochemical models with machine learning techniques to improve the resolution and accuracy of future climate projections. This work also involves investigating individual and compound ocean extreme events and their precursors from high-resolution Earth System Model simulations and Earth Observation-based fields through machine learning approaches.

Vicens-Miquel. M., Radin, C., Nieves, V., Tissot, P. & Medrano A. (2024). Towards Resilient Coastal Management: Supervised Learning for Seasonal to Multi-Year Water Level Predictions in Texas Gulf Coast. Under Review.

Radin, C., Nieves, V., Vicens-Miquel, M. & Alvarez-Morales, J.L. (2024). Harnessing Machine Learning to Decode the Mediterranean’s Climate Canvas and Forecast Sea Level Changes. Climate, 12, 127. DOI: 10.3390/cli12080127

Radin, C., & Nieves, V. (2024). Unveiling regional climate patterns through global subsurface ocean temperature data: An AI multi-layer analysis framework. Earth Systems and Environment. DOI: 10.1007/s41748-024-00409-w

Martinez-Amaya, J., Radin, C., & Nieves, V. (2023). Advanced Machine Learning Methods for Major Hurricane Forecasting. Remote Sensing, 15(1). DOI: 10.3390/rs15010119

Radin, C., & Nieves, V. (2021). Machine-Learning Based Reconstructions of Past Regional Sea Level Variability From Proxy Data. Geophysical Research Letters, 48(23). 10.1029/2021GL095382

Nieves, V., Radin, C., & Camps-Valls, G. (2021). Predicting regional coastal sea level changes with machine learning. Scientific Reports, 11(1), 1–6. DOI: 10.1038/s41598-021-87460-z

Radin, C., Soria-Perpinya, X., & Delegido, J. (2020). Multitemporal water quality study in Sitjar (Castello, Spain) reservoir using Sentinel-2 images. Revista de Teledeteccion, 56, 117. 10.4995/raet.2020.13864

Radin, C., Revert Ferrero, A., Mediavilla Gonzalez, J., & Nunez Mora, J. A. (2019). Analisis estadistico de incendios forestales en la Comunitat Valenciana y modificacion del indice de peligrosidad de incendios (PIF). Sexto Simposio Nacional de Prediccion “Memorial Antonio Mestre,” 697–708. 10.31978/639-19-010-0.697