Climate impacts on river flow: projections for the Medway catchment, UK, with UKCP09 and CATCHMOD

• Published in: Hydrological processes Vol. 24; no. 24; pp. 3476 - 3489
• Main Authors: Cloke, H.L, Jeffers, C, Wetterhall, F, Byrne, T, Lowe, J, Pappenberger, F
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 29.11.2010; Wiley
• Subjects: Climate; Climate change; Earth sciences; Earth, ocean, space; Engineering and environment geology. Geothermics; ensembles; Exact sciences and technology; Forecasting; Freshwater; Hydrology; Hydrology. Hydrogeology; Mathematical models; Pollution, environment geology; Projection; River flow; uncertainties; Uncertainty; water resources; England; United Kingdom; Great Britain; Europe; Wales; Western Europe; British Isles, England; British Isles, Wales; models; river flow; river discharge; water policy; climate; drainage basins; percolation; water resources; water storage; prediction; uncertainties; flow; climate change; streamflow; ensembles
• ISSN: 0885-6087; 1099-1085; 1099-1085
• DOI: 10.1002/hyp.7769

The potential impact of climate change on areas of strategic importance for water resources remains a concern. Here, river flow projections for the River Medway, above Teston in southeast England are presented, which is just such an area of strategic importance. The river flow projections use climate inputs from the Hadley Centre Regional Climate Model (HadRM3) for the time period 1960-2080 (a subset of the early release UKCP09 projections). River flow predictions are calculated using CATCHMOD, the main river flow prediction tool of the Environment Agency (EA) of England and Wales. In order to use this tool in the best way for climate change predictions, model setup and performance are analysed using sensitivity and uncertainty analysis. The model's representation of hydrological processes is discussed and the direct percolation and first linear storage constant parameters are found to strongly affect model results in a complex way, with the former more important for low flows and the latter for high flows. The uncertainty in predictions resulting from the hydrological model parameters is demonstrated and the projections of river flow under future climate are analysed. A clear climate change impact signal is evident in the results with a persistent lowering of mean daily river flows for all months and for all projection time slices. Results indicate that a projection of lower flows under future climate is valid even taking into account the uncertainties considered in this modelling chain exercise. The model parameter uncertainty becomes more significant under future climate as the river flows become lower. This has significant implications for those making policy decisions based on such modelling results. Copyright © 2010 John Wiley & Sons, Ltd.