Dynamical Properties of Weather Regime Transitions
Abstract 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 thro...
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2022
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crspringernat:10.1007/978-3-031-18988-3_14 2024-03-10T08:36:15+00:00 Dynamical Properties of Weather Regime Transitions Platzer, Paul Chapron, Bertrand Tandeo, Pierre 2022 http://dx.doi.org/10.1007/978-3-031-18988-3_14 https://link.springer.com/content/pdf/10.1007/978-3-031-18988-3_14 unknown Springer International Publishing https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 Mathematics of Planet Earth Stochastic Transport in Upper Ocean Dynamics page 223-236 ISSN 2524-4264 2524-4272 ISBN 9783031189876 9783031189883 book-chapter 2022 crspringernat https://doi.org/10.1007/978-3-031-18988-3_14 2024-02-13T23:12:09Z Abstract 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 Springer Nature 223 236 |
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Springer Nature |
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description |
Abstract 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 |
publisher |
Springer International Publishing |
publishDate |
2022 |
url |
http://dx.doi.org/10.1007/978-3-031-18988-3_14 https://link.springer.com/content/pdf/10.1007/978-3-031-18988-3_14 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Mathematics of Planet Earth Stochastic Transport in Upper Ocean Dynamics page 223-236 ISSN 2524-4264 2524-4272 ISBN 9783031189876 9783031189883 |
op_rights |
https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 |
op_doi |
https://doi.org/10.1007/978-3-031-18988-3_14 |
container_start_page |
223 |
op_container_end_page |
236 |
_version_ |
1793132875053268992 |