Research
An interdisciplinary perspective - from the experience at national scale of the RETURN Foundation - on uncertainty in the estimation of natural hazards.
Scientific article "From deterministic to stochastic: A hybrid framework coupling machine learning with Bluecat for probabilistic satellite-based precipitation estimation over Greece"
An innovative approach to estimate extreme rainfall over Greece based on satellite data and artificial intelligence, with uncertainty assessment.
Commentary "Impactful Datasets in Earth, Space, and Environmental Sciences: Highlighting the Data That Transform Research" published on AGU Advances
An impactful description of open data sets of the Earth system, derived from a global consultation. Opportunity for scientific publications in a AGU collection.
Scientific paper on the Po River: "Modelling the human impact on hydrological cycle: The MISDc v3.1 model"
The scientific paper "Modelling the human impact on hydrological cycle: The MISDc v3.1 model" has been just published by Environmental Modelling & Software. It presents an application of a rainfall-runoff model for the assessment of human impact on Po River flows.
Scientific paper: Comparison of physics-based and machine learning groundwater models for sustainable aquifer management: A regional study in Emilia-Romagna (Italy)
The scientific paper "Comparison of physics-based and machine learning groundwater models for sustainable aquifer management: A regional study in Emilia-Romagna (Italy)" has been recently published by the Journal of Hydrology: Regional Studies.




