Dynamical Properties of Weather Regime Transitions
International audience Large-scale weather can often be successfully described using a small amount of patterns. A statistical description of reanalysed pressure fields identifies these recurring patterns with clusters in state-space, also called “regimes”. Recently, these weather regimes have been...
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HAL CCSD
2021
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Online Access: | https://imt-atlantique.hal.science/hal-04179723 https://imt-atlantique.hal.science/hal-04179723/document https://imt-atlantique.hal.science/hal-04179723/file/978-3-031-18988-3_14.pdf https://doi.org/10.1007/978-3-031-18988-3_14 |
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Université de Bretagne Occidentale: HAL |
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[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
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[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Platzer, Paul Chapron, Bertrand Tandeo, Pierre Dynamical Properties of Weather Regime Transitions |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
description |
International audience Large-scale weather can often be successfully described using a small amount of patterns. A statistical description of reanalysed pressure fields identifies these recurring patterns with clusters in state-space, also called “regimes”. Recently, these weather regimes have been described through instantaneous, local indicators of dimension and persistence, borrowed from dynamical systems theory and extreme value theory. Using similar indicators and going further, we focus here on weather regime transitions. We use 60 years of winter-time sea-level pressure reanalysis data centered on the North-Atlantic ocean and western Europe. These experiments reveal regime-dependent behaviours of dimension and persistence near transitions, although in average one observes an increase of dimension and a decrease of persistence near transitions. The effect of transition on persistence is stronger and lasts longer than on dimension. These findings confirm the relevance of such dynamical indicators for the study of large-scale weather regimes, and reveal their potential to be used for both the understanding and detection of weather regime transitions. |
author2 |
Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) Océan Dynamique Observations Analyse (ODYSSEY) Université de Bretagne Occidentale - UFR Sciences et Techniques (UBO UFR ST) Université de Brest (UBO)-Université de Brest (UBO)-Université de Rennes (UR)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Inria Rennes – Bretagne Atlantique Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-IMT Atlantique (IMT Atlantique) Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT) Département Mathematical and Electrical Engineering (IMT Atlantique - MEE) IMT Atlantique (IMT Atlantique) Equipe Observations Signal & Environnement (Lab-STICC_OSE) Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique) Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique) Institut Mines-Télécom Paris (IMT) Support for theTwentieth Century Reanalysis Project version 3 dataset is provided by the U.S. Department ofEnergy, Office of Science Biological and Environmental Research (BER), by the National Oceanicand Atmospheric Administration Climate Program Office, and by the NOAA Physical SciencesLaboratory. European Project: 856408,STUOD(2020) |
format |
Conference Object |
author |
Platzer, Paul Chapron, Bertrand Tandeo, Pierre |
author_facet |
Platzer, Paul Chapron, Bertrand Tandeo, Pierre |
author_sort |
Platzer, Paul |
title |
Dynamical Properties of Weather Regime Transitions |
title_short |
Dynamical Properties of Weather Regime Transitions |
title_full |
Dynamical Properties of Weather Regime Transitions |
title_fullStr |
Dynamical Properties of Weather Regime Transitions |
title_full_unstemmed |
Dynamical Properties of Weather Regime Transitions |
title_sort |
dynamical properties of weather regime transitions |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://imt-atlantique.hal.science/hal-04179723 https://imt-atlantique.hal.science/hal-04179723/document https://imt-atlantique.hal.science/hal-04179723/file/978-3-031-18988-3_14.pdf https://doi.org/10.1007/978-3-031-18988-3_14 |
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Londres, United Kingdom |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Mathematics of Planet Earth book series (MPE) STUOD 2021: Stochastic Transport in Upper Ocean Dynamics Annual Workshop https://imt-atlantique.hal.science/hal-04179723 STUOD 2021: Stochastic Transport in Upper Ocean Dynamics Annual Workshop, Sep 2021, Londres, United Kingdom. pp.223-236, ⟨10.1007/978-3-031-18988-3_14⟩ |
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info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-031-18988-3_14 info:eu-repo/grantAgreement//856408/EU/Stochastic Transport in Upper Ocean Dynamics/STUOD hal-04179723 https://imt-atlantique.hal.science/hal-04179723 https://imt-atlantique.hal.science/hal-04179723/document https://imt-atlantique.hal.science/hal-04179723/file/978-3-031-18988-3_14.pdf doi:10.1007/978-3-031-18988-3_14 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1007/978-3-031-18988-3_14 |
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223 |
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236 |
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1776202143086149632 |
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ftunivbrest:oai:HAL:hal-04179723v1 2023-09-05T13:21:33+02:00 Dynamical Properties of Weather Regime Transitions Platzer, Paul Chapron, Bertrand Tandeo, Pierre Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) Océan Dynamique Observations Analyse (ODYSSEY) Université de Bretagne Occidentale - UFR Sciences et Techniques (UBO UFR ST) Université de Brest (UBO)-Université de Brest (UBO)-Université de Rennes (UR)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Inria Rennes – Bretagne Atlantique Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-IMT Atlantique (IMT Atlantique) Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT) Département Mathematical and Electrical Engineering (IMT Atlantique - MEE) IMT Atlantique (IMT Atlantique) Equipe Observations Signal & Environnement (Lab-STICC_OSE) Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique) Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique) Institut Mines-Télécom Paris (IMT) Support for theTwentieth Century Reanalysis Project version 3 dataset is provided by the U.S. Department ofEnergy, Office of Science Biological and Environmental Research (BER), by the National Oceanicand Atmospheric Administration Climate Program Office, and by the NOAA Physical SciencesLaboratory. European Project: 856408,STUOD(2020) Londres, United Kingdom 2021-09-20 https://imt-atlantique.hal.science/hal-04179723 https://imt-atlantique.hal.science/hal-04179723/document https://imt-atlantique.hal.science/hal-04179723/file/978-3-031-18988-3_14.pdf https://doi.org/10.1007/978-3-031-18988-3_14 en eng HAL CCSD Springer International Publishing info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-031-18988-3_14 info:eu-repo/grantAgreement//856408/EU/Stochastic Transport in Upper Ocean Dynamics/STUOD hal-04179723 https://imt-atlantique.hal.science/hal-04179723 https://imt-atlantique.hal.science/hal-04179723/document https://imt-atlantique.hal.science/hal-04179723/file/978-3-031-18988-3_14.pdf doi:10.1007/978-3-031-18988-3_14 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess Mathematics of Planet Earth book series (MPE) STUOD 2021: Stochastic Transport in Upper Ocean Dynamics Annual Workshop https://imt-atlantique.hal.science/hal-04179723 STUOD 2021: Stochastic Transport in Upper Ocean Dynamics Annual Workshop, Sep 2021, Londres, United Kingdom. pp.223-236, ⟨10.1007/978-3-031-18988-3_14⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/conferenceObject Conference papers 2021 ftunivbrest https://doi.org/10.1007/978-3-031-18988-3_14 2023-08-22T22:35:55Z International audience Large-scale weather can often be successfully described using a small amount of patterns. A statistical description of reanalysed pressure fields identifies these recurring patterns with clusters in state-space, also called “regimes”. Recently, these weather regimes have been described through instantaneous, local indicators of dimension and persistence, borrowed from dynamical systems theory and extreme value theory. Using similar indicators and going further, we focus here on weather regime transitions. We use 60 years of winter-time sea-level pressure reanalysis data centered on the North-Atlantic ocean and western Europe. These experiments reveal regime-dependent behaviours of dimension and persistence near transitions, although in average one observes an increase of dimension and a decrease of persistence near transitions. The effect of transition on persistence is stronger and lasts longer than on dimension. These findings confirm the relevance of such dynamical indicators for the study of large-scale weather regimes, and reveal their potential to be used for both the understanding and detection of weather regime transitions. Conference Object North Atlantic Université de Bretagne Occidentale: HAL 223 236 |