Simona Masina (female) Ph.D. Princeton University, Director of the Ocean Modelling and Data Assimilation Division of the Euro-Mediterranean Centre on Climate Change Foundation and Senior Researcher at the National Institute of Geophysics and Volcanology. Her scientific interests focus on the understanding of the ocean role in the global climatic system.
She has more than 20 years of experience in global ocean modelling and ocean data assimilation. In 2014 she coordinated the first PRACE project awarded to CMCC to set up the basis of a NEMO based high-resolution ocean forecasting system which is now operational at CMCC. She has been involved in several EU project (among the latest MyOcean and CRESCENDO) and more recently in the COPERNICUS Marine Environment Monitoring Service (CMEMS) and Climate Change Service (C3S) for the provision of NEMO based global ocean reanalyses. She is author of more than 100 scientific papers in refereed journals.
She teaches the course “Ocean Dynamics” at the Università di Venezia Ca’ Foscari, in the “Science and Management of Climate Change” Ph.D. Programme and is member of the Faculty Board since 2006. She is representative at the “Commissione Oceanografica Italiana” (Italian IOC-UNESCO), and member of the Scientific Council of Mercator Ocean International (MOI) since June 2018.
- Implementing a parallel version of a variational scheme in a global assimilation system at eddy-resolving resolution
- Copernicus Marine Service Ocean State Report, Issue 4
- From observation to information and users: the Copernicus Marine Service perspective
- TN0289 - Bulk Formulations in NEMOv.4: algorithms review and sea surface temperature response in ORCA025 case study
- Black Sea Observing System
- TN0288 - The new CMCC Operational Seasonal Prediction System
- TN0287 - Intercomparison and assessement of wave models at global scale
- The mean state and variability of the North Atlantic circulation: a perspective from ocean reanalyses
- Global Mean Climate and Main Patterns of Variability in the CMCC-CM2 Coupled Model
- Remote subsurface ocean temperature as a predictor of Atlantic hurricane activity