A global perspective on the sub-seasonal clustering of precipitation extremes

Tuel, Alexandre; Martius, Olivia (2021). A global perspective on the sub-seasonal clustering of precipitation extremes. Weather and climate extremes, 33, p. 100348. Elsevier 10.1016/j.wace.2021.100348

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The occurrence of several precipitation extremes over sub-seasonal time windows can have major impacts on human societies, leading for instance to floods. Here, we apply a simple statistical framework based on Ripley’s K function, at a global scale and for each season separately, to identify regions where precipitation extremes tend to cluster in time over timescales of a few days to a few weeks. We analyze several observational and reanalysis datasets, as well as output from CMIP6 Global Climate Models (GCMs). Good agreement is found on the spatio-temporal clustering patterns across datasets. Sub-seasonal temporal clustering is largely concentrated over the tropical oceans, where it can be detected year-round. It is also significant over certain tropical lands, like Eastern Africa, and seasonally outside the tropics in several regions, most notably around the eastern subtropical oceans (Iberian Peninsula and Western North America during the DJF and MAM seasons) Southwest Asia (especially during JJA and SON) and Australia (in SON). We also find that CMIP6 models generally correctly reproduce clustering patterns, paving the way for an assessment of trends in sub-seasonal clustering under climate change. Clustering of present-day extremes increases in many areas under climate change. Changes diagnosed by comparing present day and future extreme percentiles are positive and negative and strongest in the tropical areas.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Geography > Physical Geography > Unit Impact
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR)
08 Faculty of Science > Institute of Geography
08 Faculty of Science > Institute of Geography > Physical Geography
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR) > MobiLab

UniBE Contributor:

Tuel, Alexandre, Romppainen-Martius, Olivia

Subjects:

900 History > 910 Geography & travel
500 Science > 550 Earth sciences & geology

ISSN:

2212-0947

Publisher:

Elsevier

Language:

English

Submitter:

Yannick Barton

Date Deposited:

15 Oct 2021 16:31

Last Modified:

05 Dec 2022 15:53

Publisher DOI:

10.1016/j.wace.2021.100348

BORIS DOI:

10.48350/159768

URI:

https://boris.unibe.ch/id/eprint/159768

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