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000019801 0247_ $$2DOI$$a10.5194/hess-15-3861-2011
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000019801 041__ $$aeng
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000019801 084__ $$2WoS$$aGeosciences, Multidisciplinary
000019801 084__ $$2WoS$$aWater Resources
000019801 1001_ $$0P:(DE-HGF)0$$aStoll, S.$$b0
000019801 245__ $$aWhat can we learn from long-term groundwater data to improve climate change impact studies?
000019801 260__ $$aKatlenburg-Lindau$$bEGU$$c2011
000019801 300__ $$a3861 - 3875
000019801 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000019801 440_0 $$022262$$aHydrology and Earth System Sciences$$v15$$x1027-5606$$y12
000019801 500__ $$3POF3_Assignment on 2016-02-29
000019801 500__ $$aThis study was performed in the context of the working group "Climate and Groundwater" of the Swiss Hydrogeological Society. We thank David Bendel for his support and we are indebted to the working group "Climate and Groundwater" of the Swiss Hydrogeological Society, the Baden-Wurttemberg State Environmental Agency, the Bavaria State Environmental Agency and Wolfram Mauser (LMU Munich) for providing the data used in this study. The study was supported by SNF Project No. 200021_121862.
000019801 520__ $$aFuture risks for groundwater resources, due to global change are usually analyzed by driving hydrological models with the outputs of climate models. However, this model chain is subject to considerable uncertainties. Given the high uncertainties it is essential to identify the processes governing the groundwater dynamics, as these processes are likely to affect groundwater resources in the future, too. Information about the dominant mechanisms can be achieved by the analysis of long-term data, which are assumed to provide insight in the reaction of groundwater resources to changing conditions (weather, land use, water demand). Referring to this, a dataset of 30 long-term time series of precipitation dominated groundwater systems in northern Switzerland and southern Germany is collected. In order to receive additional information the analysis of the data is carried out together with hydrological model simulations. High spatio-temporal correlations, even over large distances could be detected and are assumed to be related to large-scale atmospheric circulation patterns. As a result it is suggested to prefer innovative weather-type-based downscaling methods to other stochastic downscaling approaches. In addition, with the help of a qualitative procedure to distinguish between meteorological and anthropogenic causes it was possible to identify processes which dominated the groundwater dynamics in the past. It could be shown that besides the meteorological conditions, land use changes, pumping activity and feedback mechanisms governed the groundwater dynamics. Based on these findings, recommendations to improve climate change impact studies are suggested.
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000019801 7001_ $$0P:(DE-Juel1)138662$$aHendricks-Franssen, H.J.$$b1$$uFZJ
000019801 7001_ $$0P:(DE-HGF)0$$aBarthel, R.$$b2
000019801 7001_ $$0P:(DE-HGF)0$$aKinzelbach, W.$$b3
000019801 773__ $$0PERI:(DE-600)2100610-6$$a10.5194/hess-15-3861-2011$$gVol. 15, p. 3861 - 3875$$p3861 - 3875$$q15<3861 - 3875$$tHydrology and earth system sciences$$v15$$x1027-5606$$y2011
000019801 8567_ $$uhttp://dx.doi.org/10.5194/hess-15-3861-2011
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