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Projections of climate change impacts on river flood conditions in Germany by combining three different RCMs with a regional eco-hydrological model

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  • Shaochun Huang
  • Fred Hattermann
  • Valentina Krysanova
  • Axel Bronstert

Abstract

A general increase in precipitation has been observed in Germany in the last century, and potential changes in flood generation and intensity are now at the focus of interest. The aim of the paper is twofold: a) to project the future flood conditions in Germany accounting for various river regimes (from pluvial to nival-pluvial regimes) and under different climate scenarios (the high, A2, low, B1, and medium, A1B, emission scenarios) and b) to investigate sources of uncertainty generated by climate input data and regional climate models. Data of two dynamical Regional Climate Models (RCMs), REMO (REgional Model) and CCLM (Cosmo-Climate Local Model), and one statistical-empirical RCM, Wettreg (Wetterlagenbasierte Regionalisierungsmethode: weather-type based regionalization method), were applied to drive the eco-hydrological model SWIM (Soil and Water Integrated Model), which was previously validated for 15 gauges in Germany. At most of the gauges, the 95 and 99 percentiles of the simulated discharge using SWIM with observed climate data had a good agreement with the observed discharge for 1961–2000 (deviation within ±10 %). However, the simulated discharge had a bias when using RCM climate as input for the same period. Generalized Extreme Value (GEV) distributions were fitted to the annual maximum series of river runoff for each realization for the control and scenario periods, and the changes in flood generation over the whole simulation time were analyzed. The 50-year flood values estimated for two scenario periods (2021–2060, 2061–2100) were compared to the ones derived from the control period using the same climate models. The results driven by the statistical-empirical model show a declining trend in the flood level for most rivers, and under all climate scenarios. The simulations driven by dynamical models give various change directions depending on region, scenario and time period. The uncertainty in estimating high flows and, in particular, extreme floods remains high, due to differences in regional climate models, emission scenarios and multi-realizations generated by RCMs. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Shaochun Huang & Fred Hattermann & Valentina Krysanova & Axel Bronstert, 2013. "Projections of climate change impacts on river flood conditions in Germany by combining three different RCMs with a regional eco-hydrological model," Climatic Change, Springer, vol. 116(3), pages 631-663, February.
    • Handle: RePEc:spr:climat:v:116:y:2013:i:3:p:631-663
    DOI: 10.1007/s10584-012-0586-2
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    References listed on IDEAS

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    1. Markus Disse & Heinz Engel, 2001. "Flood Events in the Rhine Basin: Genesis, Influences and Mitigation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 23(2), pages 271-290, March.
    2. A. Kay & H. Davies & V. Bell & R. Jones, 2009. "Comparison of uncertainty sources for climate change impacts: flood frequency in England," Climatic Change, Springer, vol. 92(1), pages 41-63, January.
    3. Axel Bronstert, 2003. "Floods and Climate Change: Interactions and Impacts," Risk Analysis, John Wiley & Sons, vol. 23(3), pages 545-557, June.
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    1. Michel Wortmann & Doris Duethmann & Christoph Menz & Tobias Bolch & Shaochun Huang & Jiang Tong & Zbigniew W. Kundzewicz & Valentina Krysanova, 2022. "Projected climate change and its impacts on glaciers and water resources in the headwaters of the Tarim River, NW China/Kyrgyzstan," Climatic Change, Springer, vol. 171(3), pages 1-24, April.
    2. Ruben Prütz & Peter Månsson, 2021. "A GIS-based approach to compare economic damages of fluvial flooding in the Neckar River basin under current conditions and future scenarios," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(2), pages 1807-1834, September.
    3. Yi He & Desmond Manful & Rachel Warren & Nicole Forstenhäusler & Timothy J. Osborn & Jeff Price & Rhosanna Jenkins & Craig Wallace & Dai Yamazaki, 2022. "Quantification of impacts between 1.5 and 4 °C of global warming on flooding risks in six countries," Climatic Change, Springer, vol. 170(1), pages 1-21, January.

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