Brief description
SiNCEM is a research laboratory dedicated to numerical simulation and artificial intelligence applied to marine and coastal systems. Research activities cover ocean circulation modeling, waves, storm surge, and coastal dynamics, with approaches ranging from traditional numerical models to machine learning techniques and their hybrids. The laboratory develops digital twins of coastal zones and marine environments, including the ocean soundscape, integrating high-resolution simulations, observational data assimilation, and non-stationary extreme value analysis for coastal risk mapping. Teaching activities are carried out through involvement of master's students, thesis researchers, and PhD candidates.
SiNCEM operates in strategic partnership with CMCC (Centro Euro-Mediterraneo sui Cambiamenti Climatici), contributing to European projects including OCEANITY and AdriaClimPlus. It also closely collaborates with the Decade Collaborative Center for Coastal Resilience (DCC-CR) within the UN Ocean Decade framework.
More info at https://site.unibo.it/sincem/en
Equipment
SiNCEM is equipped with computing and storage infrastructure dedicated to research in numerical modelling, ML, and computationally intensive data analysis:
Calypso high-performance server: a multiprocessor system with 1 TB of RAM, designed for parallel numerical simulations and large-scale climate and oceanographic dataset analysis. The system features 200 TB of storage in RAID configuration, ensuring redundancy, data integrity, and high-performance access for long-term scientific data archives.
Dedicated GPU-accelerated servers for the development and training of machine learning and deep learning models applied to oceanographic, climate, and coastal processes, including Graph Neural Network (GNN)-based emulators and autoregressive models for extreme value analysis.