Alessandro De Lorenzis obtained his Ph.D. in Physics and Nanoscience at the University of Salento (Lecce, Italy) in 2020. His doctoral research focused on the simulation of present and past Martian climate conditions using General Circulation Model (GCMs), and on the analysis and simulation of MARSIS radar data from ESA’s Mars Express mission, with the goal of identifying potential subsurface liquid water reservoirs on Mars. During his Ph.D, he established a scientific collaboration with the Advanced Scientific Computing (ASC) Division at CMCC (2017–2019).
In 2021, he joined the Ocean Predictions and Applications (OPA) Division of CMCC—now the GOCO Division within IESP—as a Postdoctoral Researcher. Over the years, he has contributed to several international research projects, including AdriaClim, OPERANDUM, and EstuarIO. He is currently involved in AdriaClimPlus, PNRR Spoke 4, FOCCUS, FLAME, and ClimaxPO.
His current research focuses on the statistical downscaling of ocean data using machine learning algorithms to improve the spatial resolution of regional model outputs, particularly over the Adriatic region. He is also involved in the calibration and validation of both coupled and uncoupled ocean–atmosphere models (such as WRF+WRF-Hydro and Med-CORDEX), as well as in the development and refinement of the Estuary Box Model (EBM) for studying estuarine systems, integrating machine learning techniques to improve model performance and interpretability. Ongoing activities also include the study of groundwater dynamics and the implementation of online coupling between the NEMO ocean model and the Estuary Box Model (EBM), both focused on the Adriatic region.
