Cited by 872Climate variability and modelsFlood Risk Assessment and ManagementMeteorological Phenomena and Simulations

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Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000

Pall, Pardeep, Aina, Tolu, Stone, Dáithí A., Stott, Peter A., Nozawa, Toru, Hilberts, Arno G. J., Lohmann, Dag, Allen, Myles R.·2011·Nature

DOI 10.1038/nature09762

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Abstract

Interest in attributing the risk of damaging weather-related events to anthropogenic climate change is increasing. Yet climate models used to study the attribution problem typically do not resolve the weather systems associated with damaging events such as the UK floods of October and November 2000. Occurring during the wettest autumn in England and Wales since records began in 1766, these floods damaged nearly 10,000 properties across that region, disrupted services severely, and caused insured losses estimated at £1.3 billion (refs 5, 6). Although the flooding was deemed a 'wake-up call' to the impacts of climate change at the time, such claims are typically supported only by general thermodynamic arguments that suggest increased extreme precipitation under global warming, but fail to account fully for the complex hydrometeorology associated with flooding. Here we present a multi-step, physically based 'probabilistic event attribution' framework showing that it is very likely that global anthropogenic greenhouse gas emissions substantially increased the risk of flood occurrence in England and Wales in autumn 2000. Using publicly volunteered distributed computing, we generate several thousand seasonal-forecast-resolution climate model simulations of autumn 2000 weather, both under realistic conditions, and under conditions as they might have been had these greenhouse gas emissions and the resulting large-scale warming never occurred. Results are fed into a precipitation-runoff model that is used to simulate severe daily river runoff events in England and Wales (proxy indicators of flood events). The precise magnitude of the anthropogenic contribution remains uncertain, but in nine out of ten cases our model results indicate that twentieth-century anthropogenic greenhouse gas emissions increased the risk of floods occurring in England and Wales in autumn 2000 by more than 20%, and in two out of three cases by more than 90%.

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Climate change 2007: the physical science basis
Solomon, S., Qin, D., Manning, M., Marquis, M. C., Averyt, K. B., Tignor, M., Miller, H. L., & Chen, Z. (2007) · Cited by 23,398
The ERA‐40 re‐analysis
Uppala, S. M., Kållberg, P. W., Simmons, A. J., Andrae, U., Bechtold, V. D. C., Fiorino, M., Gibson, J. K., Haseler, J., Hernandez, A., Kelly, G. A., et al. (2005) · Quarterly Journal of the Royal Meteorological Society · doi:10.1256/qj.04.176 · Cited by 7,010
A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d’appel variable de l’hydrologie du bassin versant
BEVEN, K. J., & KIRKBY, M. J. (1979) · Hydrological Sciences Bulletin · doi:10.1080/02626667909491834 · Cited by 6,670
Human contribution to the European heatwave of 2003
Stott, P. A., Stone, D. A., & Allen, M. R. (2004) · Nature · doi:10.1038/nature03089 · Cited by 1,735
Self-citation
TRENDS '90: A compendium of data on global change
Sepanski, R. J., Boden, T. A., Kanciruk, P., & Farrell, M. P. (1990) · doi:10.2172/6448374 · Cited by 1,586
The physical basis for increases in precipitation extremes in simulations of 21st-century climate change
O’Gorman, P. A., & Schneider, T. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0907610106 · Cited by 1,190
Increase in hourly precipitation extremes beyond expectations from temperature changes
Lenderink, G., & van Meijgaard, E. (2008) · Nature Geoscience · doi:10.1038/ngeo262 · Cited by 1,072
A history of chemically and radiatively important gases in air deduced from ALE/GAGE/AGAGE
Prinn, R. G., Weiss, R. F., Fraser, P. J., Simmonds, P. G., Cunnold, D. M., Alyea, F. N., O’Doherty, S., Salameh, P. K., Miller, B. R., Huang, J., et al. (2000) · Journal of Geophysical Research Atmospheres · doi:10.1029/2000jd900141 · Cited by 722
Anthropogenic climate change for 1860 to 2100 simulated with the HadCM3 model under updated emissions scenarios
Johns, T. C., Gregory, J. M., Ingram, W., Johnson, C. E., Jones, A. C., Lowe, J. A., Mitchell, J. F. B., Roberts, D. L., Sexton, D. M. H., Stevenson, D. S., et al. (2003) · Climate Dynamics · doi:10.1007/s00382-002-0296-y · Cited by 575
Liability for climate change
Allen, M. R. (2003) · Nature · doi:10.1038/421891a · Cited by 481
Self-citation

Show all 30 references

Research works printed but not linked: 3

Pitt, M. The Pitt Review: Lessons Learned from the 2007 Floods (Cabinet Office, London, 2008)
Massacand, A. C. Forecasting of Extreme Seasonal Precipitation: Insight into the ECMWF Potential (Technical Memorandum No. 415, ECMWF, 2003)
United Nations Framework Convention on Climate Change (UNFCCC) Report of the Conference of the Parties Serving as the Meeting of the Parties to the Kyoto Protocol on its Second Session, held at Nairobi from 6 to17 November 2006 (FCCC/KP/CMP/2006/10, United Nations Office at Geneva, Geneva, 2007)

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Authors: Pall, P., Aina, T., Stone, D. A., Stott, P. A., Nozawa, T., Hilberts, A. G. J., Lohmann, D., & Allen, M. R.
Affiliations: University of Oxford (GB)
Met Office (GB)
National Institute for Environmental Studies (JP)
Risk Management Solutions (United Kingdom) (GB)
Corresponding author: Pall, Pardeep
ORCID: Pall, Pardeep
Stone, Dáithí A.
Stott, Peter A.
Hilberts, Arno G. J.
Allen, Myles R.
Venue: Nature
Publisher: Springer Science and Business Media LLC
Published: 2011-02
Volume: 470
Issue: 7334
Pages: 382-385
ISSN: 0028-0836 (ISSN-L)
1476-4687
DOI: 10.1038/nature09762
OpenAlex: W2060677109
Cited by: 871
References: 30
Citations by year: 2026: 18 · 2025: 21 · 2024: 40 · 2023: 55 · 2022: 36 · 2021: 51 · 2020: 56 · 2019: 54 · 2018: 50 · 2017: 61 · 2016: 80 · 2015: 73 · 2014: 68 · 2013: 78 · 2012: 74
FWCI: 70.05
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Nature (publishedVersion)
PubMed (publishedVersion)
CentAUR (University of Reading) (acceptedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Funders: Natural Environment Research Council
Topics: Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
Physical Sciences › Environmental Science › Global and Planetary Change › Flood Risk Assessment and Management
Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
Keywords: anthropogenic climate change, flood risk, event attribution, greenhouse gas emissions, climate model simulation, rainfall-runoff modeling, river discharge, heavy rainfall, distributed computing, hydrometeorology, climate change impacts on floods
MeSH terms: Disasters, England, Human Activities, Models, Theoretical, Rain, Seasons, Wales, Greenhouse Effect, Risk Assessment, Rivers, Floods, Global Warming

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Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000

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