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

  • HIGHLANDER - High performance computing to support smart land services

    Through the use of High Performance Computing, HIGHLANDER will make it possible…


  • C3S_34c - Prototype Service for decadal climate predictions

    The Copernicus Climate Change Service (C3S) currently includes operational predictions for seasonal…


  • CSP Publications

    Heavy Daily Precipitation Events in the CMIP6 Worst-Case Scenario: Projected Twenty-First-Century Changes

    Scoccimarro E., Gualdi S.
    2020, Journal of Climate, DOI: 10.1175/JCLI-D-19-0940.1., web page


    Observed changes in dry-season water availability attributed to human-induced climate change

    Padrón R. S., Gudmundsson L., Decharme B., Ducharne A., Lawrence D. M., Mao J., Peano D., Krinner G., Kim H., and Seneviratne S. I.
    2020, Nature Geoscience, 13, pages477–481(2020), DOI: 10.1038/s41561-020-0594-1, web page


    Impact of higher spatial atmospheric resolution on precipitation extremes over land in global climate models

    Bador, M., Boé, J., Terray, L., Alexander, L. V., Bellucci A., Haarsma, R., Koenigk, T., Moine, M.-P., Lohmann, K., Putrasahan, D. A., Roberts, C., Roberts, M., Scoccimarro E., Schiemann, R., Seddon, J., Senan, R., Valcke, S., Vanniere, B
    2020, Journal of Geophysical Research: Atmospheres, DOI: doi: 10.1029/2019JD032184, web page

    Division Director

    Silvio Gualdi

    Division Manager

    Loredana Amato

    Contacts

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

    loredana.amato@cmcc.it

    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) 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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