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Challenges in the attribution of river flood events

Bibliographic Data

ID12929428
AuthorsPaolo Scussolini (0000-0001-6208-2169, Vrije Universiteit Amsterdam, corresponding author), Linh N Luu (0000-0003-0659-9248, Royal Netherlands Meteorological Institute), Sjoukje Philip (0000-0002-9414-3058, Royal Netherlands Meteorological Institute), Wouter Berghuijs (0000-0002-7447-0051, Vrije Universiteit Amsterdam), Dirk Eilander (0000-0002-0951-8418, Vrije Universiteit Amsterdam), Jeroen Aerts (0000-0003-2887-0465, Vrije Universiteit Amsterdam), Sarah Kew (0000-0002-0418-9520, Royal Netherlands Meteorological Institute), Geert Jan van Oldenborgh (0000-0002-6898-9535, Royal Netherlands Meteorological Institute), Willem H J Toonen (0000-0002-6737-3018, Vrije Universiteit Amsterdam), Jan Volkholz (0000-0002-2533-3739, Potsdam Institute for Climate Impact Research), Dim Coumou (0000-0003-2155-8495, Royal Netherlands Meteorological Institute)
Year2023
Volume15
Issue3
Publication date2023-12-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueWiley Interdisciplinary Reviews Climate Change (JOURNAL)
Journal identifiersISSN: 1757-7780 • E-ISSN: 1757-7799
PublisherWiley (PUBLISHER • GB)
DOI10.1002/wcc.874
OpenAlexW4390236864
LanguageEN
Citations received3
References cited99

Advances in the field of extreme event attribution allow to estimate how anthropogenic global warming affects the odds of individual climate disasters, such as river floods. Extreme event attribution typically uses precipitation as proxy for flooding. However, hydrological processes and antecedent conditions make the relation between precipitation and floods highly nonlinear. In addition, hydrology acknowledges that changes in floods can be strongly driven by changes in land‐cover and by other human interventions in the hydrological system, such as irrigation and construction of dams. These drivers can either amplify, dampen or outweigh the effect of climate change on local flood occurrence. Neglecting these processes and drivers can lead to incorrect flood attribution. Including flooding explicitly, that is, using data and models of hydrology and hydrodynamics that can represent the relevant hydrological processes, will lead to more robust event attribution, and will account for the role of other drivers beyond climate change. Existing attempts are incomplete. We argue that the existing probabilistic framework for extreme event attribution can be extended to explicitly include floods for near‐natural cases, where flood occurrence was unlikely to be influenced by land‐cover change and human hydrological interventions. However, for the many cases where this assumption is not valid, a multi‐driver framework for conditional event attribution needs to be established. Explicit flood attribution will have to grapple with uncertainties from lack of observations and compounding from the many processes involved. Further, it requires collaboration between climatologists and hydrologists, and promises to better address the needs of flood risk management. This article is categorized under: Paleoclimates and Current Trends > Modern Climate Change Paleoclimates and Current Trends > Detection and Attribution Assessing Impacts of Climate Change > Observed Impacts of Climate Change

Attribution · Cartography · Climate change · Drainage basin · Environmental resource management · Flood myth · Flooding (psychology · Geography · Hydrology (agriculture · Streamflow · Environmental Science · Flood Risk Assessment and Management · Hydrology and Drought Analysis · Hydrology and Watershed Management Studies · Ecology · Geology

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Unique citing works3
Citations per year3
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3
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