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1000 Titel
  • A systematic review of climate change science relevant to Australian design flood estimation
1000 Autor/in
  1. Wasko, Conrad |
  2. Westra, Seth |
  3. Nathan, Rory |
  4. Pepler, Acacia |
  5. Raupach, Timothy H. |
  6. Dowdy, Andrew |
  7. Johnson, Fiona |
  8. Ho, Michelle |
  9. McInnes, Kathleen L. |
  10. Jakob, Doerte |
  11. Evans, Jason |
  12. Villarini, Gabriele |
  13. Fowler, Hayley J. |
1000 Verlag
  • Copernicus Publications
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-03-15
1000 Erschienen in
1000 Quellenangabe
  • 28(5):1251-1285
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/hess-28-1251-2024 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:p>Abstract. In response to flood risk, design flood estimation is a cornerstone of planning, infrastructure design, setting of insurance premiums, and emergency response planning. Under stationary assumptions, flood guidance and the methods used in design flood estimation are firmly established in practice and mature in their theoretical foundations, but under climate change, guidance is still in its infancy. Human-caused climate change is influencing factors that contribute to flood risk such as rainfall extremes and soil moisture, and there is a need for updated flood guidance. However, a barrier to updating flood guidance is the translation of the science into practical application. For example, most science pertaining to historical changes to flood risk focuses on examining trends in annual maximum flood events or the application of non-stationary flood frequency analysis. Although this science is valuable, in practice, design flood estimation focuses on exceedance probabilities much rarer than annual maximum events, such as the 1 % annual exceedance probability event or even rarer, using rainfall-based procedures, at locations where there are few to no observations of streamflow. Here, we perform a systematic review to summarize the state-of-the-art understanding of the impact of climate change on design flood estimation in the Australian context, while also drawing on international literature. In addition, a meta-analysis, whereby results from multiple studies are combined, is conducted for extreme rainfall to provide quantitative estimates of possible future changes. This information is described in the context of contemporary design flood estimation practice to facilitate the inclusion of climate science into design flood estimation practice. </jats:p>
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/V2Fza28sIENvbnJhZA==|https://frl.publisso.de/adhoc/uri/V2VzdHJhLCBTZXRo|https://frl.publisso.de/adhoc/uri/TmF0aGFuLCBSb3J5|https://frl.publisso.de/adhoc/uri/UGVwbGVyLCBBY2FjaWE=|https://frl.publisso.de/adhoc/uri/UmF1cGFjaCwgVGltb3RoecKgSC4=|https://frl.publisso.de/adhoc/uri/RG93ZHksIEFuZHJldw==|https://frl.publisso.de/adhoc/uri/Sm9obnNvbiwgRmlvbmE=|https://frl.publisso.de/adhoc/uri/SG8sIE1pY2hlbGxl|https://frl.publisso.de/adhoc/uri/TWNJbm5lcywgS2F0aGxlZW7CoEwu|https://frl.publisso.de/adhoc/uri/SmFrb2IsIERvZXJ0ZQ==|https://frl.publisso.de/adhoc/uri/RXZhbnMsIEphc29u|https://frl.publisso.de/adhoc/uri/VmlsbGFyaW5pLCBHYWJyaWVsZQ==|https://frl.publisso.de/adhoc/uri/Rm93bGVyLCBIYXlsZXnCoEou
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  • DeepGreen-ID: 047c4e8ca9834dbe9db5adf36b5c3445 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Australian Research Council |
1000 Fördernummer
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1000 Förderprogramm
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1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Australian Research Council |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6482393.rdf
1000 Erstellt am 2024-05-24T04:53:45.699+0200
1000 Erstellt von 322
1000 beschreibt frl:6482393
1000 Zuletzt bearbeitet Mon May 27 11:39:46 CEST 2024
1000 Objekt bearb. Mon May 27 11:39:46 CEST 2024
1000 Vgl. frl:6482393
1000 Oai Id
  1. oai:frl.publisso.de:frl:6482393 |
1000 Sichtbarkeit Metadaten public
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