Climate Simulations and Predictions

The CSP Division contributes to the development of the CMCC climate and earth system models, and uses them to explore and improve our understanding of the mechanisms underpinning climate variability, climate predictability and climate change, by means of numerical simulations. In collaboration with the ODA Division, CSP produces climate change scenarios, contributing to the World Climate Research Programme (WCRP)’s Coupled Model Intercomparison Project (CMIP) project, to inform the Intergovernmental Panel on Climate Change (IPCC) assessments and in support of emerging climate service activities. Furthermore, CSP produces operational climate forecasts from seasonal to multi-annual time scales.

CSP Projects

  • fish RISE - Remote Intelligent Sustainable aquaculturE system for Fish

    The sector of aquaculture has been recording constant growth trends at global…

    Ocean.


  • eFlows4HPC - Enabling dynamic and Intelligent workflows in the future EuroHPCecosystem

    Nowadays, developers lack tools that enable the development of complex workflows involving…

    Cities & Coasts, Energy, Future Earth, Ocean.


  • SILVANUS - Integrated Technological and Information Platform for wildfire Management

    SILVANUS envisages to deliver an environmentally sustainable and climate resilient forest management…

    Future Earth, Water, Food and Land Use.

  • CSP Publications

    ENSO teleconnections and atmospheric mean state in idealised simulations

    Di Carlo E., Ruggieri P., Davini P., Tibaldi S., Corti S.
    2022, Climate Dynamics, (2022), DOI: https://doi.org/10.1007/s00382-022-06261-w, web page


    Advances in the subseasonal prediction of extreme events: Relevant case studies across the globe

    Daniela I.V. Domeisen, Christopher J. White, Hilla Afargan-Gerstman, Ángel G. Muñoz, Matthew A. Janiga, Frédéric Vitart, C. Ole Wulf, Salomé Antoine, Constantin Ardilouze, Lauriane Batté, Hannah C. Bloomfield, David J. Brayshaw, Suzana J. Camargo, Andrew Charlton-Pérez, Dan Collins, Tim Cowan, Maria del Mar Chaves, Laura Ferranti, Rosario Gómez, Paula L.M. González, Carmen González Romero, Johnna M. Infanti, Stelios Karozis, Hera Kim, Erik W. Kolstad, Emerson LaJoie, Llorenç Lledó, Linus Magnusson, Piero Malguzzi, Andrea Manrique-Suñén, Daniele Mastrangelo, Materia S., Hanoi Medina, Lluís Palma, Luis E. Pineda, Athanasios Sfetsos, Seok-Woo Son, Albert Soret, Sarah Strazzo, and Di Tian
    2022, Bulletin of the American Meteorological Society, DOI: https://doi.org/10.1175/BAMS-D-20-0221.1, web page


    On the role of Eurasian autumn snow cover in dynamical seasonal predictions

    Ruggieri P.; Benassi M., Materia S., Peano D., Ardilouze C.; Batte L.; Gualdi S.
    2022, Climate Dynamics, DOI: https://doi.org/10.1007/s00382-021-06016-z, web page

    Division Director

    Silvio Gualdi

    Division Manager

    Loredana Amato

    Contacts

    via C. Berti Pichat 6/2 – 40127 Bologna, Italy

    +39 051 0301600

    [email protected]

    Research Units

    Research Unit Leader
    Alessio Bellucci

    Description
    This unit is devoted to the understanding of the mechanisms underpinning climate predictability at seasonal-to-multi annual time scales. It produces operational seasonal forecasts that are provided to other CMCC divisions and in support of emerging climate services.

    Research Unit Leader
    Silvio Gualdi

    Description
    This unit contributes to the development of the CMCC climate and Earth system models, and uses them to explore and improve our understanding of the mechanisms of climate variability and climate change by means of numerical simulations. Furthermore, in collaboration with the ODA Division, it produces the CMCC climate change scenario contributions to the World Climate Research Programme (WCRP)’s Coupled Model Intercomparison Project (CMIP) project, to inform the Intergovernmental Panel on Climate Change (IPCC) assessments and in support of emerging climate services.

    CMCC_sps

    CMCC Seasonal Prediction System

    The Euro-Mediterranean Center on Climate Change operates routinely a Global Seasonal Ensemble Prediction System (CMCC-SPS3.5) based on a Coupled Atmosphere-Ocean-Land-Cryosphere Global Model.

    Models

  • CMCC Med Model

    The climate model CMCC-Med is a coupled model atmosphere-ocean-sea-ice based on the…


  • CMCC-CM

    The Centro Euro-Mediterraneo sui Cambiamenti Climatici Climate Model CMCC-CM (Scoccimarro et al.…

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