Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 1
Articles | Volume 16, issue 1
https://doi.org/10.5194/gmd-16-179-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-179-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 1
Model experiment description paper
 | 
05 Jan 2023
Model experiment description paper |  | 05 Jan 2023

The Euro-Mediterranean Center on Climate Change (CMCC) decadal prediction system

Dario Nicolì, Alessio Bellucci, Paolo Ruggieri, Panos J. Athanasiadis, Stefano Materia, Daniele Peano, Giusy Fedele, Riccardo Hénin, and Silvio Gualdi

Supplement

https://doi.org/10.5194/gmd-16-179-2023-supplement

Data sets

Ocean and sea-ice initial conditions for CMCC DPS Dario Nicolì and Paolo Ruggieri https://doi.org/10.5281/zenodo.6866295

CMCC CMCC-CM2-SR5 model output prepared for CMIP6 CMIP historical T. Lovato and D. Peano https://doi.org/10.22033/ESGF/CMIP6.3825

CMCC CMCC-CM2-SR5 model output prepared for CMIP6 DCPP dcppA-hindcast D. Nicolì https://doi.org/10.22033/ESGF/CMIP6.3751

Model code and software

CMCC-CM2-SR5 code for CMIP6 DCPP-A Dario Nicolì, Alessio Bellucci, Paolo Ruggieri, Panos Athanasiadis, Stefano Materia, Daniele Peano, Giusy Fedele, and Silvio Gualdi https://doi.org/10.5281/zenodo.6810749

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Short summary
Decadal climate predictions, obtained by constraining the initial condition of a dynamical model through a truthful estimate of the observed climate state, provide an accurate assessment of the near-term climate and are useful for informing decision-makers on future climate-related risks. The predictive skill for key variables is assessed from the operational decadal prediction system compared with non-initialized historical simulations so as to quantify the added value of initialization.
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