CSP Projects
Through the use of High Performance Computing, HIGHLANDER will make it possible…
The Copernicus Climate Change Service (C3S) currently includes operational predictions for seasonal…
”Change Game” is an innovative, interactive tool for educating children (12+) and…
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
Contacts
via C. Berti Pichat 6/2 – 40127 Bologna, Italy
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) based on a Coupled Atmosphere-Ocean-Land-Cryosphere Global Model.