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
The sector of aquaculture has been recording constant growth trends at global…
Nowadays, developers lack tools that enable the development of complex workflows involving…
Cities & Coasts, Energy, Future Earth, Ocean.
SILVANUS envisages to deliver an environmentally sustainable and climate resilient forest management…
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
Contacts
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 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
The climate model CMCC-Med is a coupled model atmosphere-ocean-sea-ice based on the…
The Centro Euro-Mediterraneo sui Cambiamenti Climatici Climate Model CMCC-CM (Scoccimarro et al.…