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@ARTICLE{Stoll:15991,
author = {Stoll, S. and Hendricks-Franssen, H.J. and Butts, M. and
Kinzelbach, W.},
title = {{A}nalysis of the impact of climate change on groundwater
related hydrological fluxes: a multi-model approach
including different downscaling methods},
journal = {Hydrology and earth system sciences},
volume = {15},
issn = {1027-5606},
address = {Katlenburg-Lindau},
publisher = {EGU},
reportid = {PreJuSER-15991},
pages = {21 - 38},
year = {2011},
note = {We thank Henrik Madsen and Sara Lerer from DHI for their
advice. The study was supported by SNF Project No.
$200021_121862.$ The ENSEMBLES data used in this work was
funded by the EU FP6 Integrated Project ENSEMBLES (Contract
number 505539) whose support is gratefully acknowledged.},
abstract = {Climate change related modifications in the spatio-temporal
distribution of precipitation and evapotranspiration will
have an impact on groundwater resources. This study presents
a modelling approach exploiting the advantages of integrated
hydrological modelling and a broad climate model basis. We
applied the integrated MIKE SHE model on a perialpine, small
catchment in northern Switzerland near Zurich. To examine
the impact of climate change we forced the hydrological
model with data from eight GCM-RCM combinations showing
systematic biases which are corrected by three different
statistical downscaling methods, not only for precipitation
but also for the variables that govern potential
evapotranspiration. The downscaling methods are evaluated in
a split sample test and the sensitivity of the downscaling
procedure on the hydrological fluxes is analyzed. The RCMs
resulted in very different projections of potential
evapotranspiration and, especially, precipitation. All three
downscaling methods reduced the differences between the
predictions of the RCMs and all corrected predictions showed
no future groundwater stress which can be related to an
expected increase in precipitation during winter. It turned
out that especially the timing of the precipitation and thus
recharge is very important for the future development of the
groundwater levels. However, the simulation experiments
revealed the weaknesses of the downscaling methods which
directly influence the predicted hydrological fluxes, and
thus also the predicted groundwater levels. The downscaling
process is identified as an important source of uncertainty
in hydrological impact studies, which has to be accounted
for. Therefore it is strongly recommended to test different
downscaling methods by using verification data before
applying them to climate model data.},
keywords = {J (WoSType)},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Geosciences, Multidisciplinary / Water Resources},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000286723600003},
doi = {10.5194/hess-15-21-2011},
url = {https://juser.fz-juelich.de/record/15991},
}