Global Coastal Ocean

The Global Coastal Ocean (GOCO) division at CMCC focuses on advancing research and development in coastal climate and ocean forecasting, modelling, resilience-building and sustainable blue economy strategies and solutions. The division aims to address the pressing challenges posed by climate change, coastal hazards, and the sustainable development of marine and coastal society, environments and maritime sectors. GOCO plays a key role in international and European initiatives such as the European Digital Twin of the Ocean, Emodnet, and the Coast Predict  and its Global Coast initiative, contributing to the global understanding of coastal dynamics and impacts and the development of solutions for coastal resilience. The Division collaborates with the UNESCO Decentralised Coordination Centre on Coastal Resilience (DCC-CR) at University of Bologna.

The GOCO division integrates cutting-edge technologies such as artificial intelligence, advanced oceanographic data systems, and coastal/ocean digital twins to create customizable applications, multi-hazard early warning systems, and comprehensive decision-making tools. Through collaborations with international institutions, GOCO is instrumental in delivering innovative solutions based on actionable science for risk management, marine spatial planning, pollution management, nature-based solutions, ship routing, and the advancement of sustainable practices for resilient coastal zones.

The division’s research spans several key areas:

  • Multiscale coastal modelling and applications
  • Integrated modelling of Coastal Earth System
  • Subregional to coastal climate downscaling
  • Advanced Observing systems for the global coastal ocean
  • Development of a Cloud infrastructure for On-Demand Modeling, Data Analytics (AI), and Digital Twin of the Ocean (DTO)
  • Nature based solutions and ecosystem restoration modelling, observing system and DTO
  • Coastal adaptation applications
  • Marine pollution and Maritime applications
  • Operational Coastal Ocean Forecasting systems
  • Support to the implementation of CoastPredict

GOCO Projects

  • IDEATION: InlanD watErs in the digitAl Twin OceaN

    IDEATION (InlanD watErs in the digitAl Twin OceaN) is funded by the…


  • PHAROS: Lighthouse for Atlantic and Arctic Basin

    PHAROS is an EU-funded project, led by the Canary Islands Ocean Platform…


  • GOCO Publications

    Habitat suitability modeling of loggerhead sea turtles in the Central-Eastern Mediterranean Sea: a machine learning approach using satellite tracking data

    Maglietta R.; Caccioppoli R., Piazzolla D., Saccotelli L., Cherubini C.; Scagnoli E.; Piermattei V., Marcelli M.; De Lucia G. A.; Lecci R., Causio S., Dimauro G.; De Franco F.; Scuro M., Coppini G.
    2024, Frontiers in Marine Science, doi: 10.3389/fmars.2024.1493598

    Published articles


    A ferry route in the Skagerrak optimised via VISIR-2

    Mannarini G., Salinas M.
    2024, Journal of Physics: Conference Series, 2867 012003, doi: 10.1088/1742-6596/2867/1/012003

    Published articles


    Advancing estuarine box modeling: A novel hybrid machine learning and physics-based approach

    Maglietta R.; Verri G., Saccotelli L., De Lorenzis A., Cherubini C.; Caccioppoli R., Dimauro G.; Coppini G.
    2024, Environmental Modelling and Software, Volume 183 - Article number 106223, doi: 10.1016/j.envsoft.2024.106223

    Published articles

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