Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model

Global Climate Models are key tools for predicting the future response of the climate system to a variety of natural and anthropogenic forcings. Here we show how to use statistical mechanics to construct operators able to flexibly predict climate change. We perform our study using a fully coupled mo...

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Published in:Scientific Reports
Main Authors: Lembo, V., Lucarini, V., Ragone, Francesco
Other Authors: UCL - SST/ELI/ELIC - Earth & Climate
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:http://hdl.handle.net/2078.1/276297
https://doi.org/10.1038/s41598-020-65297-2
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spelling ftunistlouisbrus:oai:dial.uclouvain.be:boreal:276297 2024-05-12T07:53:47+00:00 Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model Lembo, V. Lucarini, V. Ragone, Francesco UCL - SST/ELI/ELIC - Earth & Climate 2020 http://hdl.handle.net/2078.1/276297 https://doi.org/10.1038/s41598-020-65297-2 eng eng boreal:276297 http://hdl.handle.net/2078.1/276297 doi:10.1038/s41598-020-65297-2 urn:ISSN:2045-2322 info:eu-repo/semantics/openAccess Scientific Reports, Vol. 10, no.1, p. - (2020) info:eu-repo/semantics/article 2020 ftunistlouisbrus https://doi.org/10.1038/s41598-020-65297-2 2024-04-18T17:04:35Z Global Climate Models are key tools for predicting the future response of the climate system to a variety of natural and anthropogenic forcings. Here we show how to use statistical mechanics to construct operators able to flexibly predict climate change. We perform our study using a fully coupled model - MPI-ESM v.1.2 - and for the first time we prove the effectiveness of response theory in predicting future climate response to CO2 increase on a vast range of temporal scales, from inter-annual to centennial, and for very diverse climatic variables. We investigate within a unified perspective the transient climate response and the equilibrium climate sensitivity, and assess the role of fast and slow processes. The prediction of the ocean heat uptake highlights the very slow relaxation to a newly established steady state. The change in the Atlantic Meridional Overturning Circulation (AMOC) and of the Antarctic Circumpolar Current (ACC) is accurately predicted. The AMOC strength is initially reduced and then undergoes a slow and partial recovery. The ACC strength initially increases due to changes in the wind stress, then undergoes a slowdown, followed by a recovery leading to a overshoot with respect to the initial value. Finally, we are able to predict accurately the temperature change in the North Atlantic. © 2020, The Author(s). Article in Journal/Newspaper Antarc* Antarctic North Atlantic DIAL@USL-B (Université Saint-Louis, Bruxelles) Antarctic The Antarctic Scientific Reports 10 1
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description Global Climate Models are key tools for predicting the future response of the climate system to a variety of natural and anthropogenic forcings. Here we show how to use statistical mechanics to construct operators able to flexibly predict climate change. We perform our study using a fully coupled model - MPI-ESM v.1.2 - and for the first time we prove the effectiveness of response theory in predicting future climate response to CO2 increase on a vast range of temporal scales, from inter-annual to centennial, and for very diverse climatic variables. We investigate within a unified perspective the transient climate response and the equilibrium climate sensitivity, and assess the role of fast and slow processes. The prediction of the ocean heat uptake highlights the very slow relaxation to a newly established steady state. The change in the Atlantic Meridional Overturning Circulation (AMOC) and of the Antarctic Circumpolar Current (ACC) is accurately predicted. The AMOC strength is initially reduced and then undergoes a slow and partial recovery. The ACC strength initially increases due to changes in the wind stress, then undergoes a slowdown, followed by a recovery leading to a overshoot with respect to the initial value. Finally, we are able to predict accurately the temperature change in the North Atlantic. © 2020, The Author(s).
author2 UCL - SST/ELI/ELIC - Earth & Climate
format Article in Journal/Newspaper
author Lembo, V.
Lucarini, V.
Ragone, Francesco
spellingShingle Lembo, V.
Lucarini, V.
Ragone, Francesco
Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model
author_facet Lembo, V.
Lucarini, V.
Ragone, Francesco
author_sort Lembo, V.
title Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model
title_short Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model
title_full Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model
title_fullStr Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model
title_full_unstemmed Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model
title_sort beyond forcing scenarios: predicting climate change through response operators in a coupled general circulation model
publishDate 2020
url http://hdl.handle.net/2078.1/276297
https://doi.org/10.1038/s41598-020-65297-2
geographic Antarctic
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geographic_facet Antarctic
The Antarctic
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Antarctic
North Atlantic
genre_facet Antarc*
Antarctic
North Atlantic
op_source Scientific Reports, Vol. 10, no.1, p. - (2020)
op_relation boreal:276297
http://hdl.handle.net/2078.1/276297
doi:10.1038/s41598-020-65297-2
urn:ISSN:2045-2322
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1038/s41598-020-65297-2
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