Skip to main content

Advertisement

Log in

Climate change and river flooding: part 1 classifying the sensitivity of British catchments

  • Published:
Climatic Change Aims and scope Submit manuscript

Abstract

Effective national and regional policy guidance on climate change adaptation relies on robust scientific evidence. This two-part series of papers develops and implements a novel scenario-neutral framework enabling an assessment of the vulnerability of flood flows in British catchments to climatic change, to underpin the development of guidance for the flood management community. In this first part, the sensitivity of the 20-year return period flood peak (RP20) to changes in precipitation (P), temperature (T) and potential evapotranspiration (PE) is systematically assessed for 154 catchments. A sensitivity domain of 4,200 scenarios is applied combining 525 and 8 sets of P and T/PE mean monthly changes, respectively, with seasonality incorporated using a single-phase harmonic function. Using the change factor method, the percentage change in RP20 associated with each scenario of the sensitivity domain is calculated, giving flood response surfaces for each catchment. Using a clustering procedure on the response surfaces, the 154 catchments are divided into nine groups: flood sensitivity types. These sensitivity types show that some catchments are (very) sensitive to changes in P but others buffer the response, while the location of catchments of the same type does not show any strong geographical pattern. These results reflect the range of hydrological processes found in Britain, and demonstrate the potential importance of catchment properties (physical and climatic) in the propagation of change in climate to change in floods, and so in characterising the sensitivity types (covered in the companion paper).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Bastola S, Murphy C, Sweeney J (2011) The sensitivity of fluvial flood risk in Irish catchments to the range of IPCC AR4 climate change scenarios. Sci Total Environ 409:5403–5415

    Article  Google Scholar 

  • Bayliss AC, Jones RC (1993) Peaks-over-threshold flood database: summary statistics and seasonality. Institute of Hydrology, Wallingford

    Google Scholar 

  • Bell VA, Moore RJ (1999) An elevation-dependent snowmelt model for upland Britain. Hydrol Process 13:1887–1903

    Article  Google Scholar 

  • Beven K, Freer J (2001) Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology. J Hydrol 249:11–29

    Article  Google Scholar 

  • Bosshard T, Kotlarski S, Ewen T, Schär C (2011) Spectral representation of the annual cycle in the climate change signal. Hydrol Earth Syst Sci 15:2777–2788

    Article  Google Scholar 

  • Covey C, AchutaRao KM, Cubasch U, Jones P, Lambert SJ, Mann ME, Phillips TJ, Taylor KE (2003) An overview of results from the Coupled Model Intercomparison Project. Glob Planet Chang 37:103–133

    Article  Google Scholar 

  • Crooks SM, Naden PS (2007) CLASSIC: a semi-distributed rainfall run-off modelling system. Hydrol Earth Syst Sci 11:516–531

    Article  Google Scholar 

  • Crooks SM, Kay AL, Reynard NS (2009) Regionalised impacts of climate change on flood flows: hydrological models, catchments and calibration. R&D milestone report FD2020/MR1. Joint Defra/EA Flood and Coastal Erosion Risk Management R&D Programme. Centre for Ecology and Hydrology, Environment Agency, Defra, p 69

    Google Scholar 

  • Elsner M, Cuo L, Voisin N, Deems J, Hamlet A, Vano J, Mickelson K, Lee S-Y, Lettenmaier D (2010) Implications of 21st century climate change for the hydrology of Washington State. Clim Change 102:225–260

    Article  Google Scholar 

  • Frei C, Schöll R, Fukutome S, Schmidli J, Vidale PL (2006) Future change of precipitation extremes in Europe: intercomparison of scenarios from regional climate models. J Geophys Res 111, D06105

    Article  Google Scholar 

  • Fu G, Charles SP, Chiew FHS (2007) A two-parameter climate elasticity of streamflow index to assess climate change effects on annual streamflow. Water Resour Res 43

  • Hay LE, Wilby RL, Leavesley GH (2000) Comparison of delta change and downscaled GCM scenarios for three mountainous basins in the United States. J Am Water Resour Assoc 36:387–397

    Article  Google Scholar 

  • Hough M, Palmer S, Weir A, Lee M, Barrie IA (1997) The meteorological office rainfall and evaporation calculation system: MORECS version 2.0 (1995). An update to hydrological memorandum 45. The Met. Office, Bracknell, UK

  • Hulme M, Jenkins GJ, Lu X, Turnpenny JR, Mitchell TD, Jones RG, Lowe J, Murphy JM, Hassell D, Boorman P, McDonald R, Hill S (2002) Climate change scenarios for the United Kingdom: the UKCIP02 Scientific Report. Tyndall Centre for Climate Change Research. School of Environmental Sciences, Norwich, p 120

    Google Scholar 

  • IPCC (2007a) Climate Change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom

  • IPCC (2007b) Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA

  • Jenkins GJ, Murphy JM, Sexton DS, Lowe JA, Jones P, Kilsby CG (2009) UK Climate Projections: briefing report. Met Office Hadley Centre, Exeter

    Google Scholar 

  • Jones SB (1983) The estimation of catchment average point rainfall profiles. IH report 87. Institute of Hydrology, Wallingford

  • Kjellstrom E, Boberg F, Castro M, Christensen H, Nikulin G, Sanchez E (2010) Daily and monthly temperature and precipitation statistics as performance indicators for regional climate models. Clim Res 44:135–150

    Article  Google Scholar 

  • Köplin N, Schädler B, Viviroli D, Weingartner R (2012) Relating climate change signals and physiographic catchment properties to clustered hydrological response types. Hydrol Earth Syst Sci 16:2267–2283

    Article  Google Scholar 

  • Lindner M, Maroschek M, Netherer S, Kremer A, Barbati A, Garcia-Gonzalo J, Seidl R, Delzon S, Corona P, Kolström M, Lexer MJ, Marchetti M (2010) Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems. For Ecol Manag 259:698–709

    Article  Google Scholar 

  • Liu Q, Cui B (2011) Impacts of climate change/variability on the streamflow in the Yellow River Basin, China. Ecol Model 222:268–274

    Article  Google Scholar 

  • Mastrandrea MD, Heller NE, Root TL, Schneider SH (2010) Bridging the gap: linking climate-impacts research with adaptation planning and management. Clim Change 100:87–101

    Article  Google Scholar 

  • Monteith JL (1965) Evaporation and environment. Symposia of the society for experimental biology, pp 205–234

  • Moore RJ (2007) The PDM rainfall-runoff model. Hydrol Earth Syst Sci 11:483–499

    Article  Google Scholar 

  • Morris DG, Flavin RW (1990) A digital terrain model for hydrology. In Proceedings 4th international symposium on spatial data handling, Zurich (CH), pp 250–262

  • Mosley PM, McKerchar AI (1992) Streamflow. In: Maidment DR (ed) Handbook of hydrology. McGraw-Hill, Inc, New York, pp 8.1–8.39

    Google Scholar 

  • Naden P (1992) Analysis and use of peaks-over-threshold data in flood estimation. 3rd international conference on flood and flood management. Floods and Flood Management, Florence (Italy), pp 131–143

  • Oudin L, Hervieu F, Michel C, Perrin C, Andreassian V, Anctil F, Loumagne C (2005) Which potential evapotranspiration input for a lumped rainfall-runoff model?: part 2—towards a simple and efficient potential evapotranspiration model for rainfall-runoff modelling. J Hydrol 303:290–306

    Article  Google Scholar 

  • Pielke RA, Bravo de Guenni L (eds) (2004) How to evaluate vulnerability in changing environmental conditions—Part E. Springer, pp 482–544

  • Prudhomme C, Kay AL, Crooks SM, Reynard NS (2013) Climate change and river flooding: part 2 sensitivity characterisation for British catchments and example vulnerability assessment. Clim Change. doi:10.1007/s10584-013-0726-3

  • Prudhomme C, Jakob D, Svensson C (2003) Uncertainty and climate change impact on the flood regime of small UK catchments. J Hydrol 277:1–23

    Article  Google Scholar 

  • Prudhomme C, Wilby LR, Crooks SM, Kay AL, Reynard NS (2010) Scenario-neutral approach to climate change impact studies: application to flood risk. J Hydrol 390:198–209

    Article  Google Scholar 

  • Reynard NS, Crooks S, Kay AL, Prudhomme C (2009) Regionalised impacts of climate change on flood flows. R&D Technical Report FD2020/TR. Joint Defra/EA Flood and Coastal Erosion Risk Management R&D Programme. Centre for Ecology and Hydrology, Environment Agency, Defra, p 123

    Google Scholar 

  • Schaake JC (1990) From climate to flow. In Waggoner PE (ed) Climate change and U.S. water resources. Wiley, pp 177–206

  • Sharma D, Bharat A (2009) Conceptualizing risk assessment framework for impacts of climate change on water resources. Curr Sci 96:1044–1052

    Google Scholar 

  • Taylor KE (2000) Summarizing multiple aspects of model performance in a single diagram. PCMDI Report No. 55. University of California, Livermore, p 29

    Google Scholar 

  • Thompson N, Barrie IA, Ayles M (1982) The meteorological office rainfall and evaporation calculation system: MORECS (July 1981). Hydrological Memorandum N 45. Met. Office, Bracknell, UK

  • Weiß M (2011) Future water availability in selected European catchments: a probabilistic assessment of seasonal flows under the IPCC A1B emission scenario using response surfaces. Nat Hazards Earth Syst Sci 11:2163–2171

    Article  Google Scholar 

  • Wilby RL, Troni J, Biot Y, Tedd L, Hewitson BC, Smith DM, Sutton RT (2009) A review of climate risk information for adaptation and development planning. Int J Climatol 29:1193–1215

    Article  Google Scholar 

  • Yu J, Fu G, Cai W, Cowan T (2010) Impacts of precipitation and temperature changes on annual streamflow in the Murray-Darling Basin. Water Int 35:313–323

    Article  Google Scholar 

  • Zheng H, Zhang L, Zhu R, Liu C, Sato Y, Fukushima Y (2009) Responses of streamflow to climate and land surface change in the headwaters of the Yellow River Basin. Water Resour Res 45:W00A19

    Article  Google Scholar 

  • Ziervogel G, Johnston P, Matthew M, Mukheibir P (2010) Using climate information for supporting climate change adaptation in water resource management in South Africa. Clim Change 103:537–554

    Article  Google Scholar 

Download references

Acknowledgements

The work presented was funded by Defra and the Environment Agency for England and Wales (FD2020 ‘Regionalised impacts of climate change on flood flows‘) with additional contribution from the NERC-CEH Water science programme. They are all gratefully acknowledged. The development of the science benefited from helpful support from the project managers (Karl Hardy, Ella Thomason and Bill Donovan) and fruitful discussions with Prof. Rob Wilby and review by Prof. Nigel Arnell and Prof. Howard Wheater. Data were from CMIP3, CERA, IPCC-DDC, FEH and the UK National River Flow Archive. The views expressed are those of the authors and not of the funding organisations.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christel Prudhomme.

Electronic supplementary material

Below is the link to the electronic supplementary material.

ESM 1

(DOCX 2925 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Prudhomme, C., Crooks, S., Kay, A.L. et al. Climate change and river flooding: part 1 classifying the sensitivity of British catchments. Climatic Change 119, 933–948 (2013). https://doi.org/10.1007/s10584-013-0748-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10584-013-0748-x

Keywords

Navigation