Unsupervised detection of large-scale weather patterns in the northern hemisphere via Markov State Modelling:from blockings to teleconnections

Detecting recurrent weather patterns and understanding the transitions between such regimes are key to advancing our knowledge of the low-frequency variability of the atmosphere and have important implications in terms of weather and climate-related risks. We adopt an analysis pipeline inspired by M...

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Published in:npj Climate and Atmospheric Science
Main Authors: Springer, Sebastian, Laio, Alessandro, Galfi, Vera Melinda, Lucarini, Valerio
Format: Article in Journal/Newspaper
Language:English
Published: 2024
Subjects:
Online Access:https://research.vu.nl/en/publications/79dd9102-9e10-4ee0-9796-21d9e2ed3742
https://doi.org/10.1038/s41612-024-00659-5
https://hdl.handle.net/1871.1/79dd9102-9e10-4ee0-9796-21d9e2ed3742
http://www.scopus.com/inward/record.url?scp=85193465236&partnerID=8YFLogxK
http://www.scopus.com/inward/citedby.url?scp=85193465236&partnerID=8YFLogxK
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spelling ftvuamstcris:oai:research.vu.nl:publications/79dd9102-9e10-4ee0-9796-21d9e2ed3742 2024-09-15T18:10:07+00:00 Unsupervised detection of large-scale weather patterns in the northern hemisphere via Markov State Modelling:from blockings to teleconnections Springer, Sebastian Laio, Alessandro Galfi, Vera Melinda Lucarini, Valerio 2024 https://research.vu.nl/en/publications/79dd9102-9e10-4ee0-9796-21d9e2ed3742 https://doi.org/10.1038/s41612-024-00659-5 https://hdl.handle.net/1871.1/79dd9102-9e10-4ee0-9796-21d9e2ed3742 http://www.scopus.com/inward/record.url?scp=85193465236&partnerID=8YFLogxK http://www.scopus.com/inward/citedby.url?scp=85193465236&partnerID=8YFLogxK eng eng https://research.vu.nl/en/publications/79dd9102-9e10-4ee0-9796-21d9e2ed3742 info:eu-repo/semantics/openAccess Springer , S , Laio , A , Galfi , V M & Lucarini , V 2024 , ' Unsupervised detection of large-scale weather patterns in the northern hemisphere via Markov State Modelling : from blockings to teleconnections ' , NPJ CLIMATE AND ATMOSPHERIC SCIENCE , vol. 7 , 105 , pp. 1-13 . https://doi.org/10.1038/s41612-024-00659-5 article 2024 ftvuamstcris https://doi.org/10.1038/s41612-024-00659-5 2024-08-29T00:18:50Z Detecting recurrent weather patterns and understanding the transitions between such regimes are key to advancing our knowledge of the low-frequency variability of the atmosphere and have important implications in terms of weather and climate-related risks. We adopt an analysis pipeline inspired by Markov State Modelling and detect in an unsupervised manner the dominant winter mid-latitude Northern Hemisphere weather patterns in the Atlantic and Pacific sectors. The daily 500 hPa geopotential height fields are first classified in about 200 microstates. The weather dynamics are then represented on the basis of these microstates and the slowest decaying modes are identified from the spectral properties of the transition probability matrix. These modes are defined on the basis of the nonlinear dynamical processes of the system and not as tentative metastable states, as often done in Markov state analysis. When focusing on a shifting longitudinal window of 60 ∘ , we find that the longitude-dependent estimate of the longest relaxation time is smaller where stronger baroclinic activity is found. In the Atlantic and Pacific sectors slow relaxation processes are mainly related to transitions between blocked regimes and zonal flow. We also find strong evidence of a dynamical regime associated with the simultaneous Atlantic-Pacific blocking. When the analysis is performed on a broader geographical region of the Atlantic sector, we discover that the slowest relaxation modes of the system are associated with transitions between dynamical regimes that resemble teleconnection patterns like the North Atlantic Oscillation and weather regimes like the Scandinavian and Greenland blocking, yet have a much stronger dynamical foundation than classical methods based e.g. on EOF analysis. Our method clarifies that, as a result of the lack of a time-scale separation in the atmospheric variability of the mid-latitudes, there is no clear-cut way to represent the atmospheric dynamics in terms of few, well-defined modes of variability. The ... Article in Journal/Newspaper Greenland North Atlantic North Atlantic oscillation Vrije Universiteit Amsterdam (VU): Research Portal npj Climate and Atmospheric Science 7 1
institution Open Polar
collection Vrije Universiteit Amsterdam (VU): Research Portal
op_collection_id ftvuamstcris
language English
description Detecting recurrent weather patterns and understanding the transitions between such regimes are key to advancing our knowledge of the low-frequency variability of the atmosphere and have important implications in terms of weather and climate-related risks. We adopt an analysis pipeline inspired by Markov State Modelling and detect in an unsupervised manner the dominant winter mid-latitude Northern Hemisphere weather patterns in the Atlantic and Pacific sectors. The daily 500 hPa geopotential height fields are first classified in about 200 microstates. The weather dynamics are then represented on the basis of these microstates and the slowest decaying modes are identified from the spectral properties of the transition probability matrix. These modes are defined on the basis of the nonlinear dynamical processes of the system and not as tentative metastable states, as often done in Markov state analysis. When focusing on a shifting longitudinal window of 60 ∘ , we find that the longitude-dependent estimate of the longest relaxation time is smaller where stronger baroclinic activity is found. In the Atlantic and Pacific sectors slow relaxation processes are mainly related to transitions between blocked regimes and zonal flow. We also find strong evidence of a dynamical regime associated with the simultaneous Atlantic-Pacific blocking. When the analysis is performed on a broader geographical region of the Atlantic sector, we discover that the slowest relaxation modes of the system are associated with transitions between dynamical regimes that resemble teleconnection patterns like the North Atlantic Oscillation and weather regimes like the Scandinavian and Greenland blocking, yet have a much stronger dynamical foundation than classical methods based e.g. on EOF analysis. Our method clarifies that, as a result of the lack of a time-scale separation in the atmospheric variability of the mid-latitudes, there is no clear-cut way to represent the atmospheric dynamics in terms of few, well-defined modes of variability. The ...
format Article in Journal/Newspaper
author Springer, Sebastian
Laio, Alessandro
Galfi, Vera Melinda
Lucarini, Valerio
spellingShingle Springer, Sebastian
Laio, Alessandro
Galfi, Vera Melinda
Lucarini, Valerio
Unsupervised detection of large-scale weather patterns in the northern hemisphere via Markov State Modelling:from blockings to teleconnections
author_facet Springer, Sebastian
Laio, Alessandro
Galfi, Vera Melinda
Lucarini, Valerio
author_sort Springer, Sebastian
title Unsupervised detection of large-scale weather patterns in the northern hemisphere via Markov State Modelling:from blockings to teleconnections
title_short Unsupervised detection of large-scale weather patterns in the northern hemisphere via Markov State Modelling:from blockings to teleconnections
title_full Unsupervised detection of large-scale weather patterns in the northern hemisphere via Markov State Modelling:from blockings to teleconnections
title_fullStr Unsupervised detection of large-scale weather patterns in the northern hemisphere via Markov State Modelling:from blockings to teleconnections
title_full_unstemmed Unsupervised detection of large-scale weather patterns in the northern hemisphere via Markov State Modelling:from blockings to teleconnections
title_sort unsupervised detection of large-scale weather patterns in the northern hemisphere via markov state modelling:from blockings to teleconnections
publishDate 2024
url https://research.vu.nl/en/publications/79dd9102-9e10-4ee0-9796-21d9e2ed3742
https://doi.org/10.1038/s41612-024-00659-5
https://hdl.handle.net/1871.1/79dd9102-9e10-4ee0-9796-21d9e2ed3742
http://www.scopus.com/inward/record.url?scp=85193465236&partnerID=8YFLogxK
http://www.scopus.com/inward/citedby.url?scp=85193465236&partnerID=8YFLogxK
genre Greenland
North Atlantic
North Atlantic oscillation
genre_facet Greenland
North Atlantic
North Atlantic oscillation
op_source Springer , S , Laio , A , Galfi , V M & Lucarini , V 2024 , ' Unsupervised detection of large-scale weather patterns in the northern hemisphere via Markov State Modelling : from blockings to teleconnections ' , NPJ CLIMATE AND ATMOSPHERIC SCIENCE , vol. 7 , 105 , pp. 1-13 . https://doi.org/10.1038/s41612-024-00659-5
op_relation https://research.vu.nl/en/publications/79dd9102-9e10-4ee0-9796-21d9e2ed3742
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op_doi https://doi.org/10.1038/s41612-024-00659-5
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