Climate change impact assessment of extreme precipitation on urban flash floods – case study, Aarhus, Denmark

Henrik Madsen, Maria Antonia Sunyer Pinya, Dan Rosbjerg, Karsten Arnbjerg-Nielsen, Nina Donna St. Domingo

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Abstract

Climate change is expected to cause more intense extreme rainfall events, which will have a severe impact on the risk of flash floods in urban areas. An assessment study was performed for the city of Aarhus, Denmark, analysing different methods of statistical downscaling of climate model projections for estimation of changes in extreme rainfall characteristics. Climate model projections from 20 regional climate models (RCM) from the ENSEMBLES data archive were used in the analysis. Two different estimation methods were applied, using, respectively, a direct estimation of the changes in the extreme value statistics of the RCM data, and application of a stochastic weather generator fitted to the changes in rainfall characteristics from the RCM data. The results show a large variability in the projected changes in extreme precipitation between the different RCMs and the two estimation methods considered. Urban flooding in Aarhus was simulated with a model that dynamically couples a hydraulic model of the drainage system and a 2D overland flow model. Scenarios representing current and future climate including uncertainties in the climate projections were analysed using synthetic design storms derived from the estimated intensity-duration-frequency curves.
Original languageEnglish
Publication date2012
Number of pages1
Publication statusPublished - 2012
EventEGU Topical Meeting: Floods and climate - GFZ Helmholtz Centre, Potsdam, Germany
Duration: 4 Oct 20125 Oct 2012

Conference

ConferenceEGU Topical Meeting: Floods and climate
LocationGFZ Helmholtz Centre
CountryGermany
CityPotsdam
Period04/10/201205/10/2012

Cite this

Madsen, H., Sunyer Pinya, M. A., Rosbjerg, D., Arnbjerg-Nielsen, K., & St. Domingo, N. D. (2012). Climate change impact assessment of extreme precipitation on urban flash floods – case study, Aarhus, Denmark. Abstract from EGU Topical Meeting: Floods and climate, Potsdam, Germany.