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Cited by 869

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

A compound event framework for understanding extreme impacts

Open access
Leonard, Michael, Westra, Seth, Phatak, Aloke, Lambert, Martin, van den Hurk, Bart, McInnes, Kathleen, Risbey, James, Schuster, Sandra, Jakob, Doerte, Stafford‐Smith, Mark·2014·WIREs Climate Change
DOI 10.1002/wcc.252
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Abstract

Climate and weather variables such as rainfall, temperature, and pressure are indicators for hazards such as tropical cyclones, floods, and fires. The impact of these events can be due to a single variable being in an extreme state, but more often it is the result of a combination of variables not all of which are necessarily extreme. Here, the combination of variables or events that lead to an extreme impact is referred to as a compound event. Any given compound event will depend upon the nature and number of physical variables, the range of spatial and temporal scales, the strength of dependence between processes, and the perspective of the stakeholder who defines the impact. Modeling compound events is a large, complex, and interdisciplinary undertaking. To facilitate this task we propose the use of influence diagrams for defining, mapping, analyzing, modeling, and communicating the risk of the compound event. Ultimately, a greater appreciation of compound events will lead to further insight and a changed perspective on how impact risks are associated with climate‐related hazards. WIREs Clim Change 2014, 5:113–128. doi: 10.1002/wcc.252 This article is categorized under: Climate Models and Modeling > Knowledge Generation with Models Assessing Impacts of Climate Change > Representing Uncertainty

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Metadata

Authors
Leonard, M., Westra, S., Phatak, A., Lambert, M., van den Hurk, B., McInnes, K., Risbey, J., Schuster, S., Jakob, D., & Stafford‐Smith, M.
Venue
WIREs Climate Change
Publisher
Wiley
Published
2013-09-30
Volume
5
Issue
1
Pages
113-128
ISSN
  • 1757-7780 (ISSN-L)
  • 1757-7799
DOI
10.1002/wcc.252
OpenAlex
W1569716231
Cited by
869
References
64
FWCI
7.30
Type
journal article
Language
en
Open access
green

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