The influence of modes of climate variability on the sub-seasonal temporal clustering of extreme precipitation.

Temporally clustered precipitation extremes can have catastrophic impacts. Therefore, understanding their drivers is paramount for risk assessment in current and future climates. Here, we model for each season 3-week extreme precipitation event counts with Poisson Generalized Linear Models and nine...

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Main Authors: Tuel, Alexandre, Martius, Olivia
Format: Article in Journal/Newspaper
Language:unknown
Published: Elsevier 2022
Subjects:
Online Access:https://dx.doi.org/10.48350/166033
https://boris.unibe.ch/166033/
id ftdatacite:10.48350/166033
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spelling ftdatacite:10.48350/166033 2023-05-15T16:29:05+02:00 The influence of modes of climate variability on the sub-seasonal temporal clustering of extreme precipitation. Tuel, Alexandre Martius, Olivia 2022 https://dx.doi.org/10.48350/166033 https://boris.unibe.ch/166033/ unknown Elsevier https://dx.doi.org/10.1016/j.isci.2022.103855 open access Creative Commons Attribution Non Commercial No Derivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode cc-by-nc-nd-4.0 http://purl.org/coar/access_right/c_abf2 CC-BY-NC-ND 910 Geography & travel 550 Earth sciences & geology article-journal journal article ScholarlyArticle Text 2022 ftdatacite https://doi.org/10.48350/166033 https://doi.org/10.1016/j.isci.2022.103855 2022-03-10T15:43:29Z Temporally clustered precipitation extremes can have catastrophic impacts. Therefore, understanding their drivers is paramount for risk assessment in current and future climates. Here, we model for each season 3-week extreme precipitation event counts with Poisson Generalized Linear Models and nine major modes of climate variability as covariates. Model goodness-of-fit is highest in the tropics, particularly over the equatorial Pacific, the Maritime Continent, and East Africa, where ENSO, the Indian Ocean Dipole (IOD) and the MJO are the major drivers of sub-seasonal temporal clustering of extreme precipitation. The IOD and MJO also matter over Southwest Asia during boreal fall and winter. In the Northern Hemisphere, the North Atlantic Oscillation impacts clustering west of the Iberian Peninsula and over Scandinavia and Greenland, and the Pacific North American pattern matters over the central/northern Pacific Ocean. Finally, our models show very little skill in the Southern Hemisphere, where temporal clustering is also less frequent. Article in Journal/Newspaper Greenland North Atlantic North Atlantic oscillation DataCite Metadata Store (German National Library of Science and Technology) Greenland Pacific Indian
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic 910 Geography & travel
550 Earth sciences & geology
spellingShingle 910 Geography & travel
550 Earth sciences & geology
Tuel, Alexandre
Martius, Olivia
The influence of modes of climate variability on the sub-seasonal temporal clustering of extreme precipitation.
topic_facet 910 Geography & travel
550 Earth sciences & geology
description Temporally clustered precipitation extremes can have catastrophic impacts. Therefore, understanding their drivers is paramount for risk assessment in current and future climates. Here, we model for each season 3-week extreme precipitation event counts with Poisson Generalized Linear Models and nine major modes of climate variability as covariates. Model goodness-of-fit is highest in the tropics, particularly over the equatorial Pacific, the Maritime Continent, and East Africa, where ENSO, the Indian Ocean Dipole (IOD) and the MJO are the major drivers of sub-seasonal temporal clustering of extreme precipitation. The IOD and MJO also matter over Southwest Asia during boreal fall and winter. In the Northern Hemisphere, the North Atlantic Oscillation impacts clustering west of the Iberian Peninsula and over Scandinavia and Greenland, and the Pacific North American pattern matters over the central/northern Pacific Ocean. Finally, our models show very little skill in the Southern Hemisphere, where temporal clustering is also less frequent.
format Article in Journal/Newspaper
author Tuel, Alexandre
Martius, Olivia
author_facet Tuel, Alexandre
Martius, Olivia
author_sort Tuel, Alexandre
title The influence of modes of climate variability on the sub-seasonal temporal clustering of extreme precipitation.
title_short The influence of modes of climate variability on the sub-seasonal temporal clustering of extreme precipitation.
title_full The influence of modes of climate variability on the sub-seasonal temporal clustering of extreme precipitation.
title_fullStr The influence of modes of climate variability on the sub-seasonal temporal clustering of extreme precipitation.
title_full_unstemmed The influence of modes of climate variability on the sub-seasonal temporal clustering of extreme precipitation.
title_sort influence of modes of climate variability on the sub-seasonal temporal clustering of extreme precipitation.
publisher Elsevier
publishDate 2022
url https://dx.doi.org/10.48350/166033
https://boris.unibe.ch/166033/
geographic Greenland
Pacific
Indian
geographic_facet Greenland
Pacific
Indian
genre Greenland
North Atlantic
North Atlantic oscillation
genre_facet Greenland
North Atlantic
North Atlantic oscillation
op_relation https://dx.doi.org/10.1016/j.isci.2022.103855
op_rights open access
Creative Commons Attribution Non Commercial No Derivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
cc-by-nc-nd-4.0
http://purl.org/coar/access_right/c_abf2
op_rightsnorm CC-BY-NC-ND
op_doi https://doi.org/10.48350/166033
https://doi.org/10.1016/j.isci.2022.103855
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