On the temporal clustering of European extreme precipitation events and its relationship to persistent and transient large-scale atmospheric drivers
Extreme precipitation events that occur in close succession can have important societal and economic repercussions. Here we use 42 years of reanalysis data (ERA-5) to investigate the link between Euro-Atlantic large-scale pattern of weather and climate variability and the temporal clustering of extr...
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ftdoajarticles:oai:doaj.org/article:14b1f6ff2f33452fbed429fe2fa5575b 2023-05-15T16:30:08+02:00 On the temporal clustering of European extreme precipitation events and its relationship to persistent and transient large-scale atmospheric drivers Yannick Barton Pauline Rivoire Jonathan Koh Mubashshir Ali S. Jérôme Kopp Olivia Martius 2022-12-01T00:00:00Z https://doi.org/10.1016/j.wace.2022.100518 https://doaj.org/article/14b1f6ff2f33452fbed429fe2fa5575b EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S2212094722000974 https://doaj.org/toc/2212-0947 2212-0947 doi:10.1016/j.wace.2022.100518 https://doaj.org/article/14b1f6ff2f33452fbed429fe2fa5575b Weather and Climate Extremes, Vol 38, Iss , Pp 100518- (2022) Extreme precipitation Temporal clustering Serial clustering General additive model Meteorology. Climatology QC851-999 article 2022 ftdoajarticles https://doi.org/10.1016/j.wace.2022.100518 2022-12-30T20:23:48Z Extreme precipitation events that occur in close succession can have important societal and economic repercussions. Here we use 42 years of reanalysis data (ERA-5) to investigate the link between Euro-Atlantic large-scale pattern of weather and climate variability and the temporal clustering of extreme rainfall events over Europe. We implicitly model the seasonal rate of extreme occurrences as part of a Poisson General Additive Model (GAM) using cyclic regression cubic splines. The smoothed seasonal rate of extreme rainfall occurrences is used to (i) infer the frequency of significant temporal clustering and (ii) implicitly serves as the baseline rate when modeling the effects of atmospheric drivers on extreme rainfall clustering. We use GAMs to model the association between the temporal clustering of extreme rainfall events and seven predominant year-round weather regimes in the Euro-Atlantic sector as well as a measure of synoptic-scale transient recurrent Rossby wave packets. Sub-seasonal clustering of precipitation events is significant at all grid-points over Europe; the proportion of extreme rainfall events that cluster in time ranges between 2% to 27%. The most relevant weather regime is the Atlantic Trough (corresponding to NAO+ with a southward shift of the jet) explaining most of the significant increase in clustering probability over Europe. The Greenland Blocking regime explains most of the clustering over the Iberian Peninsula. The Scandinavian Blocking regime is associated with a significant increase in clustering probability over the western Mediterranean, with a northwards shift in the signal to central Europe in summer. Article in Journal/Newspaper Greenland Directory of Open Access Journals: DOAJ Articles Greenland Gam ENVELOPE(-57.955,-57.955,-61.923,-61.923) Weather and Climate Extremes 38 100518 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Extreme precipitation Temporal clustering Serial clustering General additive model Meteorology. Climatology QC851-999 |
spellingShingle |
Extreme precipitation Temporal clustering Serial clustering General additive model Meteorology. Climatology QC851-999 Yannick Barton Pauline Rivoire Jonathan Koh Mubashshir Ali S. Jérôme Kopp Olivia Martius On the temporal clustering of European extreme precipitation events and its relationship to persistent and transient large-scale atmospheric drivers |
topic_facet |
Extreme precipitation Temporal clustering Serial clustering General additive model Meteorology. Climatology QC851-999 |
description |
Extreme precipitation events that occur in close succession can have important societal and economic repercussions. Here we use 42 years of reanalysis data (ERA-5) to investigate the link between Euro-Atlantic large-scale pattern of weather and climate variability and the temporal clustering of extreme rainfall events over Europe. We implicitly model the seasonal rate of extreme occurrences as part of a Poisson General Additive Model (GAM) using cyclic regression cubic splines. The smoothed seasonal rate of extreme rainfall occurrences is used to (i) infer the frequency of significant temporal clustering and (ii) implicitly serves as the baseline rate when modeling the effects of atmospheric drivers on extreme rainfall clustering. We use GAMs to model the association between the temporal clustering of extreme rainfall events and seven predominant year-round weather regimes in the Euro-Atlantic sector as well as a measure of synoptic-scale transient recurrent Rossby wave packets. Sub-seasonal clustering of precipitation events is significant at all grid-points over Europe; the proportion of extreme rainfall events that cluster in time ranges between 2% to 27%. The most relevant weather regime is the Atlantic Trough (corresponding to NAO+ with a southward shift of the jet) explaining most of the significant increase in clustering probability over Europe. The Greenland Blocking regime explains most of the clustering over the Iberian Peninsula. The Scandinavian Blocking regime is associated with a significant increase in clustering probability over the western Mediterranean, with a northwards shift in the signal to central Europe in summer. |
format |
Article in Journal/Newspaper |
author |
Yannick Barton Pauline Rivoire Jonathan Koh Mubashshir Ali S. Jérôme Kopp Olivia Martius |
author_facet |
Yannick Barton Pauline Rivoire Jonathan Koh Mubashshir Ali S. Jérôme Kopp Olivia Martius |
author_sort |
Yannick Barton |
title |
On the temporal clustering of European extreme precipitation events and its relationship to persistent and transient large-scale atmospheric drivers |
title_short |
On the temporal clustering of European extreme precipitation events and its relationship to persistent and transient large-scale atmospheric drivers |
title_full |
On the temporal clustering of European extreme precipitation events and its relationship to persistent and transient large-scale atmospheric drivers |
title_fullStr |
On the temporal clustering of European extreme precipitation events and its relationship to persistent and transient large-scale atmospheric drivers |
title_full_unstemmed |
On the temporal clustering of European extreme precipitation events and its relationship to persistent and transient large-scale atmospheric drivers |
title_sort |
on the temporal clustering of european extreme precipitation events and its relationship to persistent and transient large-scale atmospheric drivers |
publisher |
Elsevier |
publishDate |
2022 |
url |
https://doi.org/10.1016/j.wace.2022.100518 https://doaj.org/article/14b1f6ff2f33452fbed429fe2fa5575b |
long_lat |
ENVELOPE(-57.955,-57.955,-61.923,-61.923) |
geographic |
Greenland Gam |
geographic_facet |
Greenland Gam |
genre |
Greenland |
genre_facet |
Greenland |
op_source |
Weather and Climate Extremes, Vol 38, Iss , Pp 100518- (2022) |
op_relation |
http://www.sciencedirect.com/science/article/pii/S2212094722000974 https://doaj.org/toc/2212-0947 2212-0947 doi:10.1016/j.wace.2022.100518 https://doaj.org/article/14b1f6ff2f33452fbed429fe2fa5575b |
op_doi |
https://doi.org/10.1016/j.wace.2022.100518 |
container_title |
Weather and Climate Extremes |
container_volume |
38 |
container_start_page |
100518 |
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1766019849563144192 |