2005
DOI: 10.1016/j.pce.2005.06.003
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Large-scale water resources management within the framework of GLOWA-Danube. Part A: The groundwater model

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Cited by 30 publications
(17 citation statements)
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“…One of the most popular models, MODFLOW, developed by the US Geological Survey, is a three‐dimensional finite‐difference GWM. MODFLOW has been widely used because of its robustness and modular, adaptable concept (Barthel et al ., ; Lubczynski and Gurwin, ; Liu et al ., ). However, the standard MODFLOW is not capable of simulating the surface water–groundwater interaction at catchment scale.…”
Section: Introductionmentioning
confidence: 99%
“…One of the most popular models, MODFLOW, developed by the US Geological Survey, is a three‐dimensional finite‐difference GWM. MODFLOW has been widely used because of its robustness and modular, adaptable concept (Barthel et al ., ; Lubczynski and Gurwin, ; Liu et al ., ). However, the standard MODFLOW is not capable of simulating the surface water–groundwater interaction at catchment scale.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast, the hydrological models widely used by the water science community have undergone decades of peer review, testing and application in a wide range of conditions all over the globe. They have been applied not only in different geographical settings but also at various spatial scales: from hillslopes (Ambroise et al 1996) to small catchments (Zehe et al 2001), large river basins (Barthel et al 2005) and at the global scale (Hanasaki et al 2010, Haddeland et al 2011). When we focus only on runoff prediction models, another differentiating feature is the discretization strategy (strongly related to computational requirements): from fully-distributed, grid-element-based models, such as Système Hydrologique Europèen -SHE (Abbott et al 1986) and its successors such as SHETRAN (Bathurst et al 1995) and MIKE SHE (Refsgaard and Storm 1995), to semi-distributed models built on the concept of hydrological similarity, such as TOPMODEL (Beven and Kirkby 1979), SWAT (Arnold et al 1998, Neitsch et al 2005 or SWIM (Krysanova et al 1998).…”
Section: Introductionmentioning
confidence: 99%
“…For smaller scales similar studies have shown that the integration of different models is possible (Bronstert et al, 2005). However on a larger scale, additional problems emerge some of which are discussed here (see also Barthel et al, 2005).…”
Section: Introductionmentioning
confidence: 88%