Brief Communication: An update of the article "Modelling flood damages under climate change conditions – a case study for Germany"
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Published:2016-07-19
Issue:7
Volume:16
Page:1617-1622
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ISSN:1684-9981
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Container-title:Natural Hazards and Earth System Sciences
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language:en
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Short-container-title:Nat. Hazards Earth Syst. Sci.
Author:
Hattermann Fred Fokko, Huang Shaochun, Burghoff Olaf, Hoffmann PeterORCID, Kundzewicz Zbigniew W.
Abstract
Abstract. In our first study on possible flood damages under climate change in Germany, we reported that a considerable increase in flood-related losses can be expected in a future warmer climate. However, the general significance of the study was limited by the fact that outcome of only one global climate model (GCM) was used as a large-scale climate driver, while many studies report that GCMs are often the largest source of uncertainty in impact modelling. Here we show that a much broader set of global and regional climate model combinations as climate drivers show trends which are in line with the original results and even give a stronger increase of damages.
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
Reference21 articles.
1. Böhm, U., Kücken, M., Ahrens, W., Block, A., Hauffe, D., Keuler, K., Rockel, B., and Will, A.: CLM-the climate version of LM: Brief description and long-term applications, COSMO Newsletter, 6, 225–235, 2006. 2. Collins, M., Booth, B. B., Harris, G. R., Murphy, J. M., Sexton, D. M., and Webb, M. J.: Towards quantifying uncertainty in transient climate change, Clima. Dynam., 27, 127–147, 2006. 3. Falter, D., Schröter, K., Dung, N. V., Vorogushyn, S., Kreibich, H., Hundecha, Y., Apel, H., and Merz, B.: Spatially coherent flood risk assessment based on long-term continuous simulation with a coupled model chain, J. Hydrol., 524, 182–193, https://doi.org/10.1016/j.jhydrol.2015.02.021, 2015. 4. Gobiet, A., Suklitsch, M., and Heinrich, G.: The effect of empirical-statistical correction of intensity-dependent model errors on the temperature climate change signal, Hydrol. Earth Syst. Sci., 19, 4055–4066, https://doi.org/10.5194/hess-19-4055-2015, 2015. 5. Hattermann, F. F., Wattenbach, M., Krysanova, V., and Wechsung, F.: Runoff simulations on the macroscale with the ecohydrological model SWIM in the Elbe catchment-validation and uncertainty analysis, Hydrol. Process., 19, 693–714, https://doi.org/10.1002/hyp.5625, 2005.
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