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Volume 16, issue 7 | Copyright
Nat. Hazards Earth Syst. Sci., 16, 1617-1622, 2016
https://doi.org/10.5194/nhess-16-1617-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Brief communication 19 Jul 2016

Brief communication | 19 Jul 2016

Brief Communication: An update of the article "Modelling flood damages under climate change conditions – a case study for Germany"

Fred Fokko Hattermann et al.
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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.
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.
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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We report that a considerable increase in flood-related losses can be expected in Germany in a future warmer climate. The general significance of the study is supported by the fact that the outcome of an ensemble of global climate models (GCMs) and regional climate models (RCMs) was used as a climate driver for a hydrological model considering more than 3000 river basins in Germany.
We report that a considerable increase in flood-related losses can be expected in Germany in a...
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