Dynamical Properties of Weather Regime Transitions

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 insta...

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Main Authors: Platzer, Paul, Chapron, Bertrand, Tandeo, Pierre
Format: Book Part
Language:English
Published: 2023
Subjects:
Online Access:https://archimer.ifremer.fr/doc/00813/92533/98793.pdf
https://doi.org/10.1007/978-3-031-18988-3_14
https://archimer.ifremer.fr/doc/00813/92533/
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spelling ftarchimer:oai:archimer.ifremer.fr:92533 2023-05-15T17:32:46+02:00 Dynamical Properties of Weather Regime Transitions Platzer, Paul Chapron, Bertrand Tandeo, Pierre 2023 application/pdf https://archimer.ifremer.fr/doc/00813/92533/98793.pdf https://doi.org/10.1007/978-3-031-18988-3_14 https://archimer.ifremer.fr/doc/00813/92533/ eng eng https://archimer.ifremer.fr/doc/00813/92533/98793.pdf doi:10.1007/978-3-031-18988-3_14 https://archimer.ifremer.fr/doc/00813/92533/ info:eu-repo/semantics/openAccess restricted use Chapron Bertrand, Crisan Dan, Holm Darryl, Mémin Etienne, Radomska Anna (Eds.) (2023). Stochastic Transport in Upper Ocean Dynamics. STUOD 2021 Workshop, London, UK, September 20-23. Springer International Publishing. ISBN 978-3-031-18987-6. Part of the Mathematics of Planet Earth book series (MPE,volume 10), pp.223-236 text Book section info:eu-repo/semantics/bookPart 2023 ftarchimer https://doi.org/10.1007/978-3-031-18988-3_14 2023-01-10T23:50:43Z 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. Book Part North Atlantic Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) 223 236
institution Open Polar
collection Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer)
op_collection_id ftarchimer
language English
description 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.
format Book Part
author Platzer, Paul
Chapron, Bertrand
Tandeo, Pierre
spellingShingle Platzer, Paul
Chapron, Bertrand
Tandeo, Pierre
Dynamical Properties of Weather Regime Transitions
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
publishDate 2023
url https://archimer.ifremer.fr/doc/00813/92533/98793.pdf
https://doi.org/10.1007/978-3-031-18988-3_14
https://archimer.ifremer.fr/doc/00813/92533/
genre North Atlantic
genre_facet North Atlantic
op_source Chapron Bertrand, Crisan Dan, Holm Darryl, Mémin Etienne, Radomska Anna (Eds.) (2023). Stochastic Transport in Upper Ocean Dynamics. STUOD 2021 Workshop, London, UK, September 20-23. Springer International Publishing. ISBN 978-3-031-18987-6. Part of the Mathematics of Planet Earth book series (MPE,volume 10), pp.223-236
op_relation https://archimer.ifremer.fr/doc/00813/92533/98793.pdf
doi:10.1007/978-3-031-18988-3_14
https://archimer.ifremer.fr/doc/00813/92533/
op_rights info:eu-repo/semantics/openAccess
restricted use
op_doi https://doi.org/10.1007/978-3-031-18988-3_14
container_start_page 223
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