Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth

In this paper, we present and evaluate the skill of an EC-Earth3.3 decadal prediction system contributing to the Decadal Climate Prediction Project – Component A (DCPP-A). This prediction system is capable of skilfully simulating past global mean surface temperature variations at interannual and dec...

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Published in:Earth System Dynamics
Main Authors: Bilbao, Roberto, Wild, Simon, Ortega Montilla, Pablo, Acosta Navarro, Juan Camilo, Arsouze, Thomas, Bretonnière, Pierre-Antoine, Caron, Louis-Philippe, Castrillo, Miguel, Cruz García, Rubén, Cvijanovic, Ivana, Doblas-Reyes, Francisco, Donat, Markus, Dutra, Emanuel, Echevarria, Pablo, Ho, An-Chi, Loosveldt-Tomas, Saskia, Moreno Chamarro, Eduardo, Pérez-Zanón, Núria, Ramos, Arthur, Ruprich-Robert, Yohan, Sicardi, Valentina, Tourigny, Etienne, Vegas-Regidor, Javier
Other Authors: Barcelona Supercomputing Center
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2021
Subjects:
Online Access:http://hdl.handle.net/2117/341413
https://doi.org/10.5194/esd-12-173-2021
id ftupcatalunyair:oai:upcommons.upc.edu:2117/341413
record_format openpolar
institution Open Polar
collection Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
op_collection_id ftupcatalunyair
language English
topic Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
Computer simulation
Climatology
Climatology--Mathematical models
Climatology--Periodicals
EC-Earth3.3
Decadal prediction systems
Decadal Climate Prediction Project – Component A (DCPP-A)
Forecast
Simulació per ordinador
spellingShingle Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
Computer simulation
Climatology
Climatology--Mathematical models
Climatology--Periodicals
EC-Earth3.3
Decadal prediction systems
Decadal Climate Prediction Project – Component A (DCPP-A)
Forecast
Simulació per ordinador
Bilbao, Roberto
Wild, Simon
Ortega Montilla, Pablo
Acosta Navarro, Juan Camilo
Arsouze, Thomas
Bretonnière, Pierre-Antoine
Caron, Louis-Philippe
Castrillo, Miguel
Cruz García, Rubén
Cvijanovic, Ivana
Doblas-Reyes, Francisco
Donat, Markus
Dutra, Emanuel
Echevarria, Pablo
Ho, An-Chi
Loosveldt-Tomas, Saskia
Moreno Chamarro, Eduardo
Pérez-Zanón, Núria
Ramos, Arthur
Ruprich-Robert, Yohan
Sicardi, Valentina
Tourigny, Etienne
Vegas-Regidor, Javier
Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth
topic_facet Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
Computer simulation
Climatology
Climatology--Mathematical models
Climatology--Periodicals
EC-Earth3.3
Decadal prediction systems
Decadal Climate Prediction Project – Component A (DCPP-A)
Forecast
Simulació per ordinador
description In this paper, we present and evaluate the skill of an EC-Earth3.3 decadal prediction system contributing to the Decadal Climate Prediction Project – Component A (DCPP-A). This prediction system is capable of skilfully simulating past global mean surface temperature variations at interannual and decadal forecast times as well as the local surface temperature in regions such as the tropical Atlantic, the Indian Ocean and most of the continental areas, although most of the skill comes from the representation of the external radiative forcings. A benefit of initialization in the predictive skill is evident in some areas of the tropical Pacific and North Atlantic oceans in the first forecast years, an added value that is mostly confined to the south-east tropical Pacific and the eastern subpolar North Atlantic at the longest forecast times (6–10 years). The central subpolar North Atlantic shows poor predictive skill and a detrimental effect of initialization that leads to a quick collapse in Labrador Sea convection, followed by a weakening of the Atlantic Meridional Overturning Circulation (AMOC) and excessive local sea ice growth. The shutdown in Labrador Sea convection responds to a gradual increase in the local density stratification in the first years of the forecast, ultimately related to the different paces at which surface and subsurface temperature and salinity drift towards their preferred mean state. This transition happens rapidly at the surface and more slowly in the subsurface, where, by the 10th forecast year, the model is still far from the typical mean states in the corresponding ensemble of historical simulations with EC-Earth3. Thus, our study highlights the Labrador Sea as a region that can be sensitive to full-field initialization and hamper the final prediction skill, a problem that can be alleviated by improving the regional model biases through model development and by identifying more optimal initialization strategies. The work in this paper was supported by the European Commission H2020 ...
author2 Barcelona Supercomputing Center
format Article in Journal/Newspaper
author Bilbao, Roberto
Wild, Simon
Ortega Montilla, Pablo
Acosta Navarro, Juan Camilo
Arsouze, Thomas
Bretonnière, Pierre-Antoine
Caron, Louis-Philippe
Castrillo, Miguel
Cruz García, Rubén
Cvijanovic, Ivana
Doblas-Reyes, Francisco
Donat, Markus
Dutra, Emanuel
Echevarria, Pablo
Ho, An-Chi
Loosveldt-Tomas, Saskia
Moreno Chamarro, Eduardo
Pérez-Zanón, Núria
Ramos, Arthur
Ruprich-Robert, Yohan
Sicardi, Valentina
Tourigny, Etienne
Vegas-Regidor, Javier
author_facet Bilbao, Roberto
Wild, Simon
Ortega Montilla, Pablo
Acosta Navarro, Juan Camilo
Arsouze, Thomas
Bretonnière, Pierre-Antoine
Caron, Louis-Philippe
Castrillo, Miguel
Cruz García, Rubén
Cvijanovic, Ivana
Doblas-Reyes, Francisco
Donat, Markus
Dutra, Emanuel
Echevarria, Pablo
Ho, An-Chi
Loosveldt-Tomas, Saskia
Moreno Chamarro, Eduardo
Pérez-Zanón, Núria
Ramos, Arthur
Ruprich-Robert, Yohan
Sicardi, Valentina
Tourigny, Etienne
Vegas-Regidor, Javier
author_sort Bilbao, Roberto
title Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth
title_short Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth
title_full Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth
title_fullStr Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth
title_full_unstemmed Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth
title_sort assessment of a full-field initialized decadal climate prediction system with the cmip6 version of ec-earth
publisher Copernicus Publications
publishDate 2021
url http://hdl.handle.net/2117/341413
https://doi.org/10.5194/esd-12-173-2021
genre Arctic
Labrador Sea
North Atlantic
Sea ice
genre_facet Arctic
Labrador Sea
North Atlantic
Sea ice
op_relation https://esd.copernicus.org/articles/12/173/2021/esd-12-173-2021-supplement.pdf
https://esd.copernicus.org/articles/12/173/2021/
info:eu-repo/grantAgreement/EC/H2020/776613/EU/European Climate Prediction system/EUCP
info:eu-repo/grantAgreement/EC/H2020/727862/EU/Advanced Prediction in Polar regions and beyond: Modelling, observing system design and LInkages associated with ArctiC ClimATE change/APPLICATE
info:eu-repo/grantAgreement/EC/H2020/641727/EU/PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment/PRIMAVERA
info:eu-repo/grantAgreement/EC/H2020/727890/EU/Integrated Arctic observation system/INTAROS
info:eu-repo/grantAgreement/EC/H2020/800154/EU/Impacts of the North Atlantic Decadal variability on European Climate: mechanisms and predictability/INADEC
info:eu-repo/grantAgreement/EC/H2020/748750/EU/Seasonal Prediction of Fire danger using Statistical and Dynamical models/SPFireSD
info:eu-repo/grantAgreement/EC/H2020/754433/EU/SupercompuTing And Related applicationS Fellows Program/STARS
Bilbao, R. [et al.]. Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth. "Earth System Dynamics", 2021, vol. 12, p. 173-196.
2190-4979
http://hdl.handle.net/2117/341413
doi:10.5194/esd-12-173-2021
op_rights Attribution 3.0 Spain
Attribution 4.0 International (CC BY 4.0)
http://creativecommons.org/licenses/by/3.0/es/
https://creativecommons.org/licenses/by/4.0/
Open Access
op_doi https://doi.org/10.5194/esd-12-173-2021
container_title Earth System Dynamics
container_volume 12
container_issue 1
container_start_page 173
op_container_end_page 196
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spelling ftupcatalunyair:oai:upcommons.upc.edu:2117/341413 2024-09-15T17:51:38+00:00 Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth Bilbao, Roberto Wild, Simon Ortega Montilla, Pablo Acosta Navarro, Juan Camilo Arsouze, Thomas Bretonnière, Pierre-Antoine Caron, Louis-Philippe Castrillo, Miguel Cruz García, Rubén Cvijanovic, Ivana Doblas-Reyes, Francisco Donat, Markus Dutra, Emanuel Echevarria, Pablo Ho, An-Chi Loosveldt-Tomas, Saskia Moreno Chamarro, Eduardo Pérez-Zanón, Núria Ramos, Arthur Ruprich-Robert, Yohan Sicardi, Valentina Tourigny, Etienne Vegas-Regidor, Javier Barcelona Supercomputing Center 2021 24 p. application/pdf http://hdl.handle.net/2117/341413 https://doi.org/10.5194/esd-12-173-2021 eng eng Copernicus Publications https://esd.copernicus.org/articles/12/173/2021/esd-12-173-2021-supplement.pdf https://esd.copernicus.org/articles/12/173/2021/ info:eu-repo/grantAgreement/EC/H2020/776613/EU/European Climate Prediction system/EUCP info:eu-repo/grantAgreement/EC/H2020/727862/EU/Advanced Prediction in Polar regions and beyond: Modelling, observing system design and LInkages associated with ArctiC ClimATE change/APPLICATE info:eu-repo/grantAgreement/EC/H2020/641727/EU/PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment/PRIMAVERA info:eu-repo/grantAgreement/EC/H2020/727890/EU/Integrated Arctic observation system/INTAROS info:eu-repo/grantAgreement/EC/H2020/800154/EU/Impacts of the North Atlantic Decadal variability on European Climate: mechanisms and predictability/INADEC info:eu-repo/grantAgreement/EC/H2020/748750/EU/Seasonal Prediction of Fire danger using Statistical and Dynamical models/SPFireSD info:eu-repo/grantAgreement/EC/H2020/754433/EU/SupercompuTing And Related applicationS Fellows Program/STARS Bilbao, R. [et al.]. Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth. "Earth System Dynamics", 2021, vol. 12, p. 173-196. 2190-4979 http://hdl.handle.net/2117/341413 doi:10.5194/esd-12-173-2021 Attribution 3.0 Spain Attribution 4.0 International (CC BY 4.0) http://creativecommons.org/licenses/by/3.0/es/ https://creativecommons.org/licenses/by/4.0/ Open Access Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia Computer simulation Climatology Climatology--Mathematical models Climatology--Periodicals EC-Earth3.3 Decadal prediction systems Decadal Climate Prediction Project – Component A (DCPP-A) Forecast Simulació per ordinador Article 2021 ftupcatalunyair https://doi.org/10.5194/esd-12-173-2021 2024-08-02T04:37:58Z In this paper, we present and evaluate the skill of an EC-Earth3.3 decadal prediction system contributing to the Decadal Climate Prediction Project – Component A (DCPP-A). This prediction system is capable of skilfully simulating past global mean surface temperature variations at interannual and decadal forecast times as well as the local surface temperature in regions such as the tropical Atlantic, the Indian Ocean and most of the continental areas, although most of the skill comes from the representation of the external radiative forcings. A benefit of initialization in the predictive skill is evident in some areas of the tropical Pacific and North Atlantic oceans in the first forecast years, an added value that is mostly confined to the south-east tropical Pacific and the eastern subpolar North Atlantic at the longest forecast times (6–10 years). The central subpolar North Atlantic shows poor predictive skill and a detrimental effect of initialization that leads to a quick collapse in Labrador Sea convection, followed by a weakening of the Atlantic Meridional Overturning Circulation (AMOC) and excessive local sea ice growth. The shutdown in Labrador Sea convection responds to a gradual increase in the local density stratification in the first years of the forecast, ultimately related to the different paces at which surface and subsurface temperature and salinity drift towards their preferred mean state. This transition happens rapidly at the surface and more slowly in the subsurface, where, by the 10th forecast year, the model is still far from the typical mean states in the corresponding ensemble of historical simulations with EC-Earth3. Thus, our study highlights the Labrador Sea as a region that can be sensitive to full-field initialization and hamper the final prediction skill, a problem that can be alleviated by improving the regional model biases through model development and by identifying more optimal initialization strategies. The work in this paper was supported by the European Commission H2020 ... Article in Journal/Newspaper Arctic Labrador Sea North Atlantic Sea ice Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge Earth System Dynamics 12 1 173 196