River flow amplification under climate change

Attribution and climate-driven storylines of the winter 2023/24 UK floods

Bibliographic Data

ID15547262
AuthorsWilson Chan (0000-0003-4296-3203, UK Centre for Ecology & Hydrology, corresponding author), Lucy Barker (0000-0002-2913-0664, UK Centre for Ecology & Hydrology), Davide Faranda (0000-0001-5001-5698, École Polytechnique), Jamie Hannaford (0000-0002-5256-3310, National University of Ireland, Maynooth)
Year2025
Volume20
Issue10
Pages104035-104035
Publication date2025-08-21
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/adfdfe
OpenAlexW4413385616
LanguageEN
References cited60

Climate change is expected to alter the magnitude and frequency of river floods. Post-event analyses often assess the rarity of events from historical observations, and a growing number of studies attempt to attribute the event’s severity to anthropogenic warming. Recent studies also advocate for the creation of ‘what if’ event storylines to explore the consequences if an observed event turned out to be worse. However, few studies have harmonized these different approaches when conducting retrospective analyses of hydrological extremes. Climate change attribution including river flows also remains rare. Here, a framework for post-event analyses of hydrological extremes is demonstrated using the winter half-year 2023/24 UK river flooding as a case study. Persistent high river flows were observed across the UK and western Europe, following on from notable winter floods in 2013/14, 2015/16 and 2019/20. The ‘ClimaMeter’ analogue-based attribution suggests that a 6 month period with similar atmospheric circulation patterns to the observed winter half-year 2023/24 has become warmer and wetter (by an average 8.8%) in 1945–2021 compared with 1850–1925. Monthly river flow reconstructions extended back to 1850 show that river flows during the analogue periods in the recent past have also become 13.5% higher. Applying the UNSEEN approach by pooling seasonal hindcasts show the potential for river flows to be 46% higher than the baseline in a worst-case storyline. Finally, hydrological simulations driven by a single-model initial-condition large ensemble suggest that when accounting for internal variability, a robust climate signal in winter half-year river flows has emerged for some areas but may remain concealed until the mid-21st century and beyond. Our results contribute to the use of storyline approaches in post-event analysis and highlight the changing risk of winter flooding in the UK. This framework can be applied to future hydrological extremes both in the UK and elsewhere to inform long-term planning for climate adaptation

Attribution · Climate change · Climatology · Drainage basin · Geography · Streamflow · Environmental Science · Flood Risk Assessment and Management · Hydrology and Watershed Management Studies · Geology · Oceanography

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