Modelling climate impact on floods with ensemble climate projections

TitleModelling climate impact on floods with ensemble climate projections
Publication TypeJournal Article
Year of Publication2013
AuthorsCloke, H., F. Wetterhall, Y He, J. Freer, and F. Pappenberger
Journal TitleQuarterly Journal of the Royal Meteorological Society
Start Page282
KeywordsEnsembles, GCM, Hydrological model, Hydrology, Perturbed physics, RCM, Response surface, UKCP09

The evidence provided by modelled assessments of future climate impact on flooding is fundamental to water resources and flood risk decision making. Impact models usually rely on climate projections from global and regional climate models (GCM/RCMs). However, challenges in representing precipitation events at catchment-scale resolution mean that decisions must be made on how to appropriately pre-process the meteorological variables from GCM/RCMs. Here the impacts on projected high flows of differing ensemble approaches and application of Model Output Statistics to RCM precipitation are evaluated while assessing climate change impact on flood hazard in the Upper Severn catchment in the UK. Various ensemble projections are used together with the HBV hydrological model with direct forcing and also compared to a response surface technique. We consider an ensemble of single-model RCM projections from the current UK Climate Projections (UKCP09); multi-model ensemble RCM projections from the European Union's FP6 'ENSEMBLES' project; and a joint probability distribution of precipitation and temperature from a GCM-based perturbed physics ensemble. The ensemble distribution of results show that flood hazard in the Upper Severn is likely to increase compared to present conditions, but the study highlights the differences between the results from different ensemble methods and the strong assumptions made in using Model Output Statistics to produce the estimates of future river discharge. The results underline the challenges in using the current generation of RCMs for local climate impact studies on flooding. © 2012 Royal Meteorological Society.

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Integrated Modelling