The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000
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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“There is now an increasingly strong body of literature which highlights the causal linkages between climate change and extreme weather events (see [45–50]).”
From Climate change and mental health: risks, impacts and priority actions (2018) · cites this paper as [49]
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“we do know that because of climate change, extreme weather is more generally on the rise, making extreme weather events more frequent, intense, and complex.”
From Climate change and mental health: risks, impacts and priority actions (2018) · cites this paper as [49]
In the citing paper
“while we cannot say with certainty that any one specific extreme weather event is directly caused by climate change”
From Climate change and mental health: risks, impacts and priority actions (2018) · cites this paper as [49]
Citations
Cites
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
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 6,803
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-citationTRENDS '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
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
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
Allen, M. R. (2003) · Nature · doi:10.1038/421891a · Cited by 481
Self-citationA large-scale horizontal routing model to be coupled to land surf ace parametrization schemes
Dag Lohmann, A., Nolte-Holube, R., & Raschke, E. (1996) · Tellus A Dynamic Meteorology and Oceanography · doi:10.3402/tellusa.v48i5.12200 · Cited by 448
A regional frequency analysis of United Kingdom extreme rainfall from 1961 to 2000
Fowler, H. J., & Kilsby, C. G. (2003) · International Journal of Climatology · doi:10.1002/joc.943 · Cited by 359
Detection and attribution of climate change: a regional perspective
Stott, P. A., Gillett, N. P., Hegerl, G. C., Karoly, D. J., Stone, D. A., Zhang, X., & Zwiers, F. W. (2010) · Wiley Interdisciplinary Reviews Climate Change · doi:10.1002/wcc.34 · Cited by 356
Self-citationClimate change and fluvial flood risk in the UK: more of the same?
Wilby, R. L., Beven, K. J., & Reynard, N. S. (2007) · Hydrological Processes · doi:10.1002/hyp.6847 · Cited by 242
Torricella, F., Cattani, E., Cervino, M., Levizzani, V., & Costa, M. J. (2000) · Atmospheric Science Letters · doi:10.1006/asle.2001.0025 · Cited by 214
Observational Constraints on Past Attributable Warming and Predictions of Future Global Warming
Stott, P. A., Mitchell, J. F. B., Allen, M. R., Delworth, T. L., Gregory, J. M., Meehl, G. A., & Santer, B. D. (2006) · Journal of Climate · doi:10.1175/jcli3802.1 · Cited by 183
Self-citationHigh‐flow and flood trends in a network of undisturbed catchments in the UK
Hannaford, J., & Marsh, T. J. (2007) · International Journal of Climatology · doi:10.1002/joc.1643 · Cited by 179
The End-to-End Attribution Problem: From Emissions to Impacts
Stone, D. A., & Allen, M. R. (2005) · Climatic Change · doi:10.1007/s10584-005-6778-2 · Cited by 159
Self-citationDo-it-yourself climate prediction
Allen, M. R. (1999) · Nature · doi:10.1038/44266 · Cited by 153
Self-citationThe processes governing horizontal resolution sensitivity in a climate model
Pope, V., & Stratton, R. A. (2002) · Climate Dynamics · doi:10.1007/s00382-001-0222-8 · Cited by 146
Evidence for trends in UK flooding
Robson, A. J. (2002) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2002.1003 · Cited by 129
Implications of changes in seasonal and annual extreme rainfall
Fowler, H. J., & Kilsby, C. G. (2003) · Geophysical Research Letters · doi:10.1029/2003gl017327 · Cited by 121
Detecting natural influence on surface air temperature change in the early twentieth century
Nozawa, T., Nagashima, T., Shiogama, H., & Crooks, S. A. (2005) · Geophysical Research Letters · doi:10.1029/2005gl023540 · Cited by 118
Self-citationMaraun, D., Osborn, T. J., & Gillett, N. P. (2008) · International Journal of Climatology · doi:10.1002/joc.1672 · Cited by 110
The UK Floods of 2000–2001: A Hydrometeorological Appraisal
Marsh, T., & Dale, M. (2002) · Water and Environment Journal · doi:10.1111/j.1747-6593.2002.tb00392.x · Cited by 68
Detection of anthropogenic climate change using an atmospheric GCM
Sexton, D. M. H., Rowell, D. P., Folland, C. K., & Karoly, D. J. (2001) · Climate Dynamics · doi:10.1007/s003820000141 · Cited by 36
Data access and analysis with distributed federated data servers in climateprediction.net
Massey, N., Aina, T., Allen, M. R., Christensen, C., Frame, D. J., Goodman, D., Kettleborough, J. A., Martin, A., Pascoe, S., & Stainforth, D. A. (2006) · Advances in geosciences · doi:10.5194/adgeo-8-49-2006 · Cited by 18
Self-citationAtmospheric Variability and Extreme Autumn Rainfall In The Uk
Blackburn, M., & Hoskins, B. J. (2002) · EGS General Assembly Conference Abstracts · Cited by 5
Carlin (2002) · doi:10.1175/1520-0442(2002)015
McHugh, M. (2004) · doi:10.1175/1520-0442(2004)017
Flagged first, then by citations
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)
Cited by
Sorted by citations
Changes in Climate Extremes and their Impacts on the Natural Physical Environment
Seneviratne, S. I., Nicholls, N., Easterling, D. R., Goodess, C. M., Kanae, S., Kossin, J. P., Luo, Y., Marengo, J. A., McInnes, K. L., Rahimi, M., et al. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9781139177245.006 · Cited by 2,609
Coumou, D., & Rahmstorf, S. (2012) · Nature Climate Change · doi:10.1038/nclimate1452 · Cited by 2,289
Health and climate change: policy responses to protect public health
Watts, N., Adger, W. N., Agnolucci, P., Blackstock, J., Byass, P., Cai, W., Chaytor, S., Colbourn, T., Collins, M., Cooper, A., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60854-6 · Cited by 2,055
Flood risk and climate change: global and regional perspectives
Kundzewicz, Z. W., Kanae, S., Seneviratne, S. I., Handmer, J. W., Nicholls, N., Peduzzi, P., Mechler, R., Bouwer, L. M., Arnell, N. W., Mach, K. J., et al. (2013) · Hydrological Sciences Journal · doi:10.1080/02626667.2013.857411 · Cited by 1,697
Hansen, J. E., Sato, M., & Ruedy, R. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1205276109 · Cited by 1,533
Metadata
- 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
- Venue
- Nature
- Published
- 2011-02
- Volume
- 470
- Issue
- 7334
- Pages
- 382-385
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- 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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