2015
DOI: 10.5194/hessd-12-1119-2015
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Global warming increases the frequency of river floods in Europe

Abstract: Abstract. EURO-CORDEX, a new generation of downscaled climate projections, has become available for climate change impact studies in Europe. New opportunities arise in the investigation of potential effects of a warmer world on meteorological and hydrological extremes at regional scales. In this work, an ensemble of EURO-CORDEX RCP 8.5 scenarios is used to drive a distributed hydrological model and assess the projected changes in flood hazard in Europe through the current century. Changes in magnitude and freq… Show more

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Cited by 38 publications
(52 citation statements)
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“…Our results correlate well with assessments made by the World Resources Institute (2015), Alfieri et al (2015) and Arnell and Gosling (2014). The World Resources Institute concludes that the number of people affected by floods will more than double by 2030, while Alfieri et al conclude that on average, flood peaks with a return period of 100 years or more will double in frequency within the next 30 years in Europe.…”
Section: Discussionsupporting
confidence: 80%
“…Our results correlate well with assessments made by the World Resources Institute (2015), Alfieri et al (2015) and Arnell and Gosling (2014). The World Resources Institute concludes that the number of people affected by floods will more than double by 2030, while Alfieri et al conclude that on average, flood peaks with a return period of 100 years or more will double in frequency within the next 30 years in Europe.…”
Section: Discussionsupporting
confidence: 80%
“…Negative changes are found overall in four countries. In the time slice 2080 they are projected to take place only in Finland (À8% in EAPA and À15% in EAD) and in Lithuania (À30% in EAPA and À28% in EAD), due to a reduction in snowmeltdriven floods (see Alfieri et al, 2015).…”
Section: Flood Riskmentioning
confidence: 99%
“…In parallel, we used flood hazard estimates under high-end climate scenarios from the work by Alfieri et al (2015) in the form of magnitude and recurrence of projected discharge peaks. Extreme value statistical distributions were fitted on the simulated discharge annual maxima of the control period , to derive analytical relations between extreme discharges Q and probability of occurrence (and consequently of their return period T), in each point of the European river network at 5 km grid resolution.…”
Section: Modelling Approachmentioning
confidence: 99%
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