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

Abstract 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 c...

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Published in:Scientific Reports
Main Authors: Lembo, Valerio, Lucarini, Valerio, Ragone, Francesco
Format: Article in Journal/Newspaper
Language:English
Published: Springer Science and Business Media LLC 2020
Subjects:
Online Access:http://dx.doi.org/10.1038/s41598-020-65297-2
http://www.nature.com/articles/s41598-020-65297-2.pdf
http://www.nature.com/articles/s41598-020-65297-2
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spelling crspringernat:10.1038/s41598-020-65297-2 2023-05-15T14:10:45+02:00 Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model Lembo, Valerio Lucarini, Valerio Ragone, Francesco 2020 http://dx.doi.org/10.1038/s41598-020-65297-2 http://www.nature.com/articles/s41598-020-65297-2.pdf http://www.nature.com/articles/s41598-020-65297-2 en eng Springer Science and Business Media LLC https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 CC-BY Scientific Reports volume 10, issue 1 ISSN 2045-2322 Multidisciplinary journal-article 2020 crspringernat https://doi.org/10.1038/s41598-020-65297-2 2022-01-04T09:40:31Z Abstract 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 CO 2 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. Article in Journal/Newspaper Antarc* Antarctic North Atlantic Springer Nature (via Crossref) Antarctic The Antarctic Scientific Reports 10 1
institution Open Polar
collection Springer Nature (via Crossref)
op_collection_id crspringernat
language English
topic Multidisciplinary
spellingShingle Multidisciplinary
Lembo, Valerio
Lucarini, Valerio
Ragone, Francesco
Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model
topic_facet Multidisciplinary
description Abstract 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 CO 2 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.
format Article in Journal/Newspaper
author Lembo, Valerio
Lucarini, Valerio
Ragone, Francesco
author_facet Lembo, Valerio
Lucarini, Valerio
Ragone, Francesco
author_sort Lembo, Valerio
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
publisher Springer Science and Business Media LLC
publishDate 2020
url http://dx.doi.org/10.1038/s41598-020-65297-2
http://www.nature.com/articles/s41598-020-65297-2.pdf
http://www.nature.com/articles/s41598-020-65297-2
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The Antarctic
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Antarctic
North Atlantic
genre_facet Antarc*
Antarctic
North Atlantic
op_source Scientific Reports
volume 10, issue 1
ISSN 2045-2322
op_rights https://creativecommons.org/licenses/by/4.0
https://creativecommons.org/licenses/by/4.0
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op_doi https://doi.org/10.1038/s41598-020-65297-2
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