Via Marco Biagi 5 – 73100 Lecce, Italy
(+39) 0832 1902411
Ivan Federico is Scientist in Ocean Modelling and responsible of the Advanced Modelling research unit of the Ocean Predictions and Applications (OPA) Division at CMCC Foundation.
He holds a Ph.D. in Hydraulics Engineering for the Environment and Territory in 2011, focused on Computational Fluid Dynamics, contributing to the development of a fully meshless Lagrangian particle model.
Since 2012 he has been employed at CMCC, where he has led the development and implementation of very high-resolution hydrodynamic and wave models in operational forecasting mode, from large-scale to shelf-coastal, riverine and urban ocean.
He has been involved as scientific responsible for CMCC and WP leader in several National and International projects.
The current research activity is focused on coastal oceanography processes, seamless approaches between scales, unstructured-grid models, storm surge forecasting.
LATEST PUBLICATIONS
- Assessing storm surge model performance: what error indicators can measure the model's skill?
- The Black Sea near-past wave climate and its variability: a hindcast study
- River–coastal–ocean continuum modeling along the Lazio coast (Tyrrhenian Sea, Italy): Assessment of near river dynamics in the Tiber delta
- Environmental variables and machine learning models to predict cetacean abundance in the Central-eastern Mediterranean Sea
- Machine Learning to predict cetacean behaviour using social and environmental features
- Storm Surge Ensemble Prediction System for Lagoons and Transitional Environments
- Shelf slope, estuarine dynamics and river plumes in a z* vertical coordinate, unstructured grid model
- Generalized additive models for Risso's dolphin group size estimation in the Gulf of Taranto (Northern Ionian Sea, Central-eastern Mediterranean Sea)
- Parallel implementation of the SHYFEM (System of HydrodYnamic Finite Element Modules) model
- Modeling of the Turkish Strait System Using a High Resolution Unstructured Grid Ocean Circulation Model