Numerical Weather Prediction (NWP) models and AI to predict extreme weather events
We use state-of-the-art NWP models in synergy with data-driven AI-based algorithms to obtain weather forecasts of extreme events with unprecedented accuracy
Research
Research topics
Downscaling of IPCC scenarios via high-resolution Numerical Weather Prediction models
We use state-of-the-art NWP models to obtain HRES climate projections of atmospheric fields (e.g. precipitations and winds) by 2100
AI-based methods and Numerical Weather Prediction models for the green energy revolution
We use state-of-the-art NWPs in concert with data-driven AI-based algorithms to obtain accurate weather forecasts of green sources (wind, solar, waves)
AI-based methods in concert with air-quality models for forecasting pollutant concentrations
We use state-of-the-art air-quality models in concert with data-driven AI-based algorithms to obtain calibrated prediction for pollutant concentrations
Climate Change and Coastal Hazards
Understanding the Impact of a changing climate on coastal risks and vulnerability
Mixing and Dispersion in the Ocean
Investigating the effects of mixing and dispersion processes in the ocean for environmental engineering challenges, from oil spills to microplastics
Ocean Waves Extremes and Structures Design
Investigating the Characteristics and Impacts of Extreme Wave Events, and Developing Strategies for the Design of Robust Coastal Structures
Coastal Morphodynamics and Evolution
Coastal Morphodynamics and Evolution: Investigating the Dynamic
Interactions between the Ocean, Atmosphere, and Land in Coastal
Environments
Research projects
Most recent research projects
- COMEM+
Coastal and Marine Engineering and Management
MSc in Coastal and Marine Engineering and Management is a collaboration among five universities from four countries (NO, FR, ES, IT)Leading scientist Giovanni BesioRole within the project Head of unitDuration 2022 - 2027Sponsors ERASMUS-EMJM-UNTotal funding 4.47 M€Funding for the Institution 350 k€Funding for the Unit 350 k€ - RETURN
Partenariato Esteso RETURN - multi-Risk sciEnce for resilienT commUnities undeR a changiNg climate
Extended partnership aiming to strengthen research chains on environmental, natural and man-made hazardsLeading scientist Giovanni BesioRole within the project co-Principal InvestigatorDuration 2022 - 2025Sponsors MURTotal funding 160 M€ - RAISE
Ecosistema RAISE – Robotics and AI for Socio-economic Empowerment
An innovation ecosystem conceived by IIT, CNR and UNIGE, which is its proponentLeading scientist Andrea Mazzino, Giovanni BesioRole within the project Head of unitDuration 2022 - 2025Sponsors MURTotal funding 120 M€ - RESILIENCE
Bays and estuaries resilience to climate change: morphodynamic response to extreme events
Leading scientist Andrea Margarita Lira Loarca, Giovanni BesioRole within the project CollaboratorDuration 2022 - 2025Sponsors MICINNTotal funding 97.2 k€
