IDEAS home Printed from https://ideas.repec.org/a/wly/wirecc/v5y2014i1p113-128.html
   My bibliography  Save this article

A compound event framework for understanding extreme impacts

Author

Listed:
  • Michael Leonard
  • Seth Westra
  • Aloke Phatak
  • Martin Lambert
  • Bart van den Hurk
  • Kathleen McInnes
  • James Risbey
  • Sandra Schuster
  • Doerte Jakob
  • Mark Stafford‐Smith

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

Suggested Citation

  • Michael Leonard & Seth Westra & Aloke Phatak & Martin Lambert & Bart van den Hurk & Kathleen McInnes & James Risbey & Sandra Schuster & Doerte Jakob & Mark Stafford‐Smith, 2014. "A compound event framework for understanding extreme impacts," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 5(1), pages 113-128, January.
  • Handle: RePEc:wly:wirecc:v:5:y:2014:i:1:p:113-128
    DOI: 10.1002/wcc.252
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/wcc.252
    Download Restriction: no

    File URL: https://libkey.io/10.1002/wcc.252?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Orpita U. Laz & Ataur Rahman & Taha B. M. J. Ouarda, 2023. "Compound heatwave and drought hotspots and their trends in Southeast Australia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 119(1), pages 357-386, October.
    2. Dominik Paprotny & Michalis I. Vousdoukas & Oswaldo Morales-Nápoles & Sebastiaan N. Jonkman & Luc Feyen, 2020. "Pan-European hydrodynamic models and their ability to identify compound floods," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 101(3), pages 933-957, April.
    3. Mark C. Quigley & Luke G. Bennetts & Patricia Durance & Petra M. Kuhnert & Mark D. Lindsay & Keith G. Pembleton & Melanie E. Roberts & Christopher J. White, 2019. "The provision and utility of science and uncertainty to decision-makers: earth science case studies," Environment Systems and Decisions, Springer, vol. 39(3), pages 307-348, September.
    4. Kai Tao & Jian Fang & Wentao Yang & Jiayi Fang & Baoyin Liu, 2023. "Characterizing compound floods from heavy rainfall and upstream–downstream extreme flow in middle Yangtze River from 1980 to 2020," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(2), pages 1097-1114, January.
    5. Emanuele Bevacqua & Laura Suarez-Gutierrez & Aglaé Jézéquel & Flavio Lehner & Mathieu Vrac & Pascal Yiou & Jakob Zscheischler, 2023. "Advancing research on compound weather and climate events via large ensemble model simulations," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    6. Kui Xu & Chenyue Wang & Lingling Bin, 2023. "Compound flood models in coastal areas: a review of methods and uncertainty analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 469-496, March.
    7. Panagiota Galiatsatou & Christos Makris & Panayotis Prinos & Dimitrios Kokkinos, 2019. "Nonstationary joint probability analysis of extreme marine variables to assess design water levels at the shoreline in a changing climate," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(3), pages 1051-1089, September.
    8. Kyunghun Kim & Young Hye Bae & Hung Soo Kim, 2024. "Estimating the natural disaster ınter-event time defition (NIETD) to define compound natural disasters in South Korea," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(9), pages 8761-8778, July.
    9. Gianluca Pescaroli & David Alexander, 2018. "Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic Framework," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2245-2257, November.
    10. Guo, Ying & Lu, Xiaoling & Zhang, Jiquan & Li, Kaiwei & Wang, Rui & Rong, Guangzhi & Liu, Xingpeng & Tong, Zhijun, 2022. "Joint analysis of drought and heat events during maize (Zea mays L.) growth periods using copula and cloud models: A case study of Songliao Plain," Agricultural Water Management, Elsevier, vol. 259(C).
    11. Zhang, Yu & Liu, Xiaohong & Jiao, Wenzhe & Zhao, Liangju & Zeng, Xiaomin & Xing, Xiaoyu & Zhang, Lingnan & Hong, Yixue & Lu, Qiangqiang, 2022. "A new multi-variable integrated framework for identifying flash drought in the Loess Plateau and Qinling Mountains regions of China," Agricultural Water Management, Elsevier, vol. 265(C).
    12. Elisabeth Tschumi & Jakob Zscheischler, 2020. "Countrywide climate features during recorded climate-related disasters," Climatic Change, Springer, vol. 158(3), pages 593-609, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:wirecc:v:5:y:2014:i:1:p:113-128. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1757-7799 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.