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.
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.
the Creative Commons Attribution 4.0 License.
Model experiment description paper
| 
05 Jan 2023
Model experiment description paper |
| 05 Jan 2023
| 05 Jan 2023
The Euro-Mediterranean Center on Climate Change (CMCC) decadal prediction system
Climate Simulation and Prediction (CSP) division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna 40127, Italy
Alessio Bellucci
Climate Simulation and Prediction (CSP) division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna 40127, Italy
now at: Consiglio Nazionale delle Ricerche, Istituto di Scienze
dell'Atmosfera e del Clima (CNR-ISAC), Bologna 40129, Italy
Paolo Ruggieri
Climate Simulation and Prediction (CSP) division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna 40127, Italy
now at: Department of Physics and Astronomy, University of Bologna,
Bologna 40126, Italy
Panos J. Athanasiadis
Climate Simulation and Prediction (CSP) division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna 40127, Italy
Stefano Materia
Climate Simulation and Prediction (CSP) division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna 40127, Italy
Daniele Peano
Climate Simulation and Prediction (CSP) division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna 40127, Italy
Giusy Fedele
Climate Simulation and Prediction (CSP) division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna 40127, Italy
Riccardo Hénin
Climate Simulation and Prediction (CSP) division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna 40127, Italy
Silvio Gualdi
Climate Simulation and Prediction (CSP) division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna 40127, Italy
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Cited
25 citations as recorded by crossref.
- A multi-model analysis of the decadal prediction skill for the North Atlantic ocean heat content T. Carmo-Costa et al.
- Ocean-atmosphere feedbacks key to NAO decadal predictability C. Patrizio et al.
- Decadal prediction system based on the INM RAS climate model V. Bragina et al.
- On the skill of Indo-Pacific decadal sea level predictions and its connection with skilful AMO and PDO predictions J. Deepa & C. Gnanaseelan
- Gross primary productivity and the predictability of CO2: more uncertainty in what we predict than how well we predict it I. Dunkl et al.
- Potential predictability of the tropical pacific and Indian Ocean sea surface temperature in CMIP6 DCPP models J. Chowdary et al.
- Improved decadal predictions of East Asian summer temperature based on decadal increment and observational constraint J. QIAN et al.
- Monthly streamflow forecasting by machine learning methods using dynamic weather prediction model outputs over Iran M. Akbarian et al.
- Decadal prediction skill for Eurasian surface air temperature in CMIP6 models Y. Huang et al.
- Decadal prediction of the probability of extreme seasons D. Befort & T. Kruschke
- Identifying a Pattern of Predictable Decadal North Pacific SST Variability in Historical Observations E. Gordon & N. Diffenbaugh
- Advances in atmospheric, oceanic, and coupled models for meteorological forecasting M. Waqas et al.
- Hydrological drought projections across Europe under climate change F. Sonny et al.
- Initialization shock in the ocean circulation reduces skill in decadal predictions of the North Atlantic subpolar gyre I. Polkova et al.
- Estimating the decadal-scale climate predictability limit using nonlinear local Lyapunov exponent with optimal local dynamic analogues R. Li et al.
- Seasonal forecasting of East African short rains A. Tefera et al.
- Comparing near-term information from national climate scenarios and initialised decadal predictions J. Murphy et al.
- Deep Learning‐Based Seasonal Forecast of Sea Ice Considering Atmospheric Conditions Y. Zhu et al.
- Analysis of Near-Surface Air Temperature Trends in Brazil Region Using Meteorological Station Data, ERA5 Reanalysis, and CMIP6 Models I. Serykh et al.
- Different Climate Responses to Northern, Tropical, and Southern Volcanic Eruptions in CMIP6 Models Q. Zeng & S. Chen
- Machine learning-driven prediction of Visual Range under changing climate conditions over complex terrain using AOD and CMIP6 climate simulations S. Javed et al.
- Impact of volcanic eruptions on CMIP6 decadal predictions: a multi-model analysis R. Bilbao et al.
- Decadal predictions outperform climate projections in forecasting Mediterranean wintertime precipitation D. Nicolì et al.
- Multi-annual predictions of hot, dry and hot-dry compound extremes A. Aranyossy et al.
- Decadal prediction of Northeast Asian winter precipitation with CMIP6 models X. Xin et al.
25 citations as recorded by crossref.
- A multi-model analysis of the decadal prediction skill for the North Atlantic ocean heat content T. Carmo-Costa et al.
- Ocean-atmosphere feedbacks key to NAO decadal predictability C. Patrizio et al.
- Decadal prediction system based on the INM RAS climate model V. Bragina et al.
- On the skill of Indo-Pacific decadal sea level predictions and its connection with skilful AMO and PDO predictions J. Deepa & C. Gnanaseelan
- Gross primary productivity and the predictability of CO2: more uncertainty in what we predict than how well we predict it I. Dunkl et al.
- Potential predictability of the tropical pacific and Indian Ocean sea surface temperature in CMIP6 DCPP models J. Chowdary et al.
- Improved decadal predictions of East Asian summer temperature based on decadal increment and observational constraint J. QIAN et al.
- Monthly streamflow forecasting by machine learning methods using dynamic weather prediction model outputs over Iran M. Akbarian et al.
- Decadal prediction skill for Eurasian surface air temperature in CMIP6 models Y. Huang et al.
- Decadal prediction of the probability of extreme seasons D. Befort & T. Kruschke
- Identifying a Pattern of Predictable Decadal North Pacific SST Variability in Historical Observations E. Gordon & N. Diffenbaugh
- Advances in atmospheric, oceanic, and coupled models for meteorological forecasting M. Waqas et al.
- Hydrological drought projections across Europe under climate change F. Sonny et al.
- Initialization shock in the ocean circulation reduces skill in decadal predictions of the North Atlantic subpolar gyre I. Polkova et al.
- Estimating the decadal-scale climate predictability limit using nonlinear local Lyapunov exponent with optimal local dynamic analogues R. Li et al.
- Seasonal forecasting of East African short rains A. Tefera et al.
- Comparing near-term information from national climate scenarios and initialised decadal predictions J. Murphy et al.
- Deep Learning‐Based Seasonal Forecast of Sea Ice Considering Atmospheric Conditions Y. Zhu et al.
- Analysis of Near-Surface Air Temperature Trends in Brazil Region Using Meteorological Station Data, ERA5 Reanalysis, and CMIP6 Models I. Serykh et al.
- Different Climate Responses to Northern, Tropical, and Southern Volcanic Eruptions in CMIP6 Models Q. Zeng & S. Chen
- Machine learning-driven prediction of Visual Range under changing climate conditions over complex terrain using AOD and CMIP6 climate simulations S. Javed et al.
- Impact of volcanic eruptions on CMIP6 decadal predictions: a multi-model analysis R. Bilbao et al.
- Decadal predictions outperform climate projections in forecasting Mediterranean wintertime precipitation D. Nicolì et al.
- Multi-annual predictions of hot, dry and hot-dry compound extremes A. Aranyossy et al.
- Decadal prediction of Northeast Asian winter precipitation with CMIP6 models X. Xin et al.
Saved (final revised paper)
Latest update: 08 May 2026
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.
Decadal climate predictions, obtained by constraining the initial condition of a dynamical model...
