Skillful decadal prediction of unforced southern European summer temperature variations

International audience We assess the capability of decadal prediction simulations from the Coupled Model Intercomparison Project phase 6 (CMIP6) archive to predict European summer temperature during the period 1970-2014. Using a multi-model ensemble average, we show that Southern European (SEU) summ...

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Published in:Environmental Research Letters
Main Authors: Borchert, L, Koul, V, Menary, M, Befort, D, Swingedouw, D, Sgubin, G, Mignot, J
Other Authors: Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Helmholtz-Zentrum Geesthacht (GKSS), Universität Hamburg (UHH), University of Oxford Oxford, Environnements et Paléoenvironnements OCéaniques (EPOC), Observatoire aquitain des sciences de l'univers (OASU), Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2021
Subjects:
geo
Online Access:https://doi.org/10.1088/1748-9326/ac20f5
https://hal.sorbonne-universite.fr/hal-03369438/file/Borchert_2021_Environ._Res._Lett._16_104017.pdf
https://hal.sorbonne-universite.fr/hal-03369438
id fttriple:oai:gotriple.eu:10670/1.3bavce
record_format openpolar
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic climate prediction
CMIP6
European summer temperature
envir
geo
spellingShingle climate prediction
CMIP6
European summer temperature
envir
geo
Borchert, L,
Koul, V
Menary, M,
Befort, D,
Swingedouw, D
Sgubin, G
Mignot, J
Skillful decadal prediction of unforced southern European summer temperature variations
topic_facet climate prediction
CMIP6
European summer temperature
envir
geo
description International audience We assess the capability of decadal prediction simulations from the Coupled Model Intercomparison Project phase 6 (CMIP6) archive to predict European summer temperature during the period 1970-2014. Using a multi-model ensemble average, we show that Southern European (SEU) summer temperatures are highly predictable for up to ten years in CMIP6. Much of this predictive skill, is related to the externally forced response: historical simulations explain about 90% of observed SEU summer temperature variance. Prediction skill for the unforced signal of SEU summer temperature is low: initialized model simulations explain less than 10% of observed variance after removing the externally forced response. An observed link between unforced SEU summer temperature and preceding spring Eastern North Atlantic-Mediterranean sea surface temperature (SST) motivates the application of a dynamical-statistical model to overcome the low summer temperature skill over Europe. This dynamical-statistical model uses dynamical spring SST predictions to predict European summer temperature, and significantly increases decadal prediction skill of unforced European summer temperature variations, showing significant prediction skill for unforced Southern European summer temperature 2-9 years ahead. As a result, dynamical-statistical models can benefit the decadal prediction of variables with initially limited skill beyond the forcing, such as summer temperature over Europe.
author2 Institut Pierre-Simon-Laplace (IPSL (FR_636))
École normale supérieure - Paris (ENS Paris)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)
Laboratoire de Météorologie Dynamique (UMR 8539) (LMD)
Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
Helmholtz-Zentrum Geesthacht (GKSS)
Universität Hamburg (UHH)
University of Oxford Oxford
Environnements et Paléoenvironnements OCéaniques (EPOC)
Observatoire aquitain des sciences de l'univers (OASU)
Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)
format Article in Journal/Newspaper
author Borchert, L,
Koul, V
Menary, M,
Befort, D,
Swingedouw, D
Sgubin, G
Mignot, J
author_facet Borchert, L,
Koul, V
Menary, M,
Befort, D,
Swingedouw, D
Sgubin, G
Mignot, J
author_sort Borchert, L,
title Skillful decadal prediction of unforced southern European summer temperature variations
title_short Skillful decadal prediction of unforced southern European summer temperature variations
title_full Skillful decadal prediction of unforced southern European summer temperature variations
title_fullStr Skillful decadal prediction of unforced southern European summer temperature variations
title_full_unstemmed Skillful decadal prediction of unforced southern European summer temperature variations
title_sort skillful decadal prediction of unforced southern european summer temperature variations
publisher HAL CCSD
publishDate 2021
url https://doi.org/10.1088/1748-9326/ac20f5
https://hal.sorbonne-universite.fr/hal-03369438/file/Borchert_2021_Environ._Res._Lett._16_104017.pdf
https://hal.sorbonne-universite.fr/hal-03369438
genre North Atlantic
genre_facet North Atlantic
op_source Hyper Article en Ligne - Sciences de l'Homme et de la Société
ISSN: 1748-9326
Environmental Research Letters
Environmental Research Letters, IOP Publishing, 2021, 16 (10), pp.104017. ⟨10.1088/1748-9326/ac20f5⟩
op_relation hal-03369438
doi:10.1088/1748-9326/ac20f5
10670/1.3bavce
https://hal.sorbonne-universite.fr/hal-03369438/file/Borchert_2021_Environ._Res._Lett._16_104017.pdf
https://hal.sorbonne-universite.fr/hal-03369438
op_doi https://doi.org/10.1088/1748-9326/ac20f5
container_title Environmental Research Letters
container_volume 16
container_issue 10
container_start_page 104017
_version_ 1766132223587647488
spelling fttriple:oai:gotriple.eu:10670/1.3bavce 2023-05-15T17:33:39+02:00 Skillful decadal prediction of unforced southern European summer temperature variations Borchert, L, Koul, V Menary, M, Befort, D, Swingedouw, D Sgubin, G Mignot, J Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS Paris) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP) Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL) Helmholtz-Zentrum Geesthacht (GKSS) Universität Hamburg (UHH) University of Oxford Oxford Environnements et Paléoenvironnements OCéaniques (EPOC) Observatoire aquitain des sciences de l'univers (OASU) Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS) 2021-09-23 https://doi.org/10.1088/1748-9326/ac20f5 https://hal.sorbonne-universite.fr/hal-03369438/file/Borchert_2021_Environ._Res._Lett._16_104017.pdf https://hal.sorbonne-universite.fr/hal-03369438 en eng HAL CCSD IOP Publishing hal-03369438 doi:10.1088/1748-9326/ac20f5 10670/1.3bavce https://hal.sorbonne-universite.fr/hal-03369438/file/Borchert_2021_Environ._Res._Lett._16_104017.pdf https://hal.sorbonne-universite.fr/hal-03369438 Hyper Article en Ligne - Sciences de l'Homme et de la Société ISSN: 1748-9326 Environmental Research Letters Environmental Research Letters, IOP Publishing, 2021, 16 (10), pp.104017. ⟨10.1088/1748-9326/ac20f5⟩ climate prediction CMIP6 European summer temperature envir geo Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2021 fttriple https://doi.org/10.1088/1748-9326/ac20f5 2023-01-22T17:08:49Z International audience We assess the capability of decadal prediction simulations from the Coupled Model Intercomparison Project phase 6 (CMIP6) archive to predict European summer temperature during the period 1970-2014. Using a multi-model ensemble average, we show that Southern European (SEU) summer temperatures are highly predictable for up to ten years in CMIP6. Much of this predictive skill, is related to the externally forced response: historical simulations explain about 90% of observed SEU summer temperature variance. Prediction skill for the unforced signal of SEU summer temperature is low: initialized model simulations explain less than 10% of observed variance after removing the externally forced response. An observed link between unforced SEU summer temperature and preceding spring Eastern North Atlantic-Mediterranean sea surface temperature (SST) motivates the application of a dynamical-statistical model to overcome the low summer temperature skill over Europe. This dynamical-statistical model uses dynamical spring SST predictions to predict European summer temperature, and significantly increases decadal prediction skill of unforced European summer temperature variations, showing significant prediction skill for unforced Southern European summer temperature 2-9 years ahead. As a result, dynamical-statistical models can benefit the decadal prediction of variables with initially limited skill beyond the forcing, such as summer temperature over Europe. Article in Journal/Newspaper North Atlantic Unknown Environmental Research Letters 16 10 104017