2017
DOI: 10.1073/pnas.1614941114
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Enhanced groundwater recharge rates and altered recharge sensitivity to climate variability through subsurface heterogeneity

Abstract: Our environment is heterogeneous. In hydrological sciences, the heterogeneity of subsurface properties, such as hydraulic conductivities or porosities, exerts an important control on water balance. This notably includes groundwater recharge, which is an important variable for efficient and sustainable groundwater resources management. Current large-scale hydrological models do not adequately consider this subsurface heterogeneity. Here we show that regions with strong subsurface heterogeneity have enhanced pre… Show more

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Cited by 170 publications
(123 citation statements)
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“…Also, hydrologic similarity concepts can be effectively applied using multiscale methods to resolve the dominant spatial gradients that drive flow; for example, using representative hillslopes to explicitly resolve lateral flow processes (Troch et al, 2003;Berne et al, 2005;Hazenberg et al, 2015;Ajami et al, 2016). In exploring these solutions, we recognize that there is not necessarily a tradeoff between physical realism and computational efficiency -the linkage between spatial complexity and process complexity may be rather weak, as models that are run using a large number of spatial elements may still miss dominant processes (e.g., Hartmann et al, 2017).…”
Section: Computing Solutionsmentioning
confidence: 99%
“…Also, hydrologic similarity concepts can be effectively applied using multiscale methods to resolve the dominant spatial gradients that drive flow; for example, using representative hillslopes to explicitly resolve lateral flow processes (Troch et al, 2003;Berne et al, 2005;Hazenberg et al, 2015;Ajami et al, 2016). In exploring these solutions, we recognize that there is not necessarily a tradeoff between physical realism and computational efficiency -the linkage between spatial complexity and process complexity may be rather weak, as models that are run using a large number of spatial elements may still miss dominant processes (e.g., Hartmann et al, 2017).…”
Section: Computing Solutionsmentioning
confidence: 99%
“…Only then is the topographic index derived from a digital elevation model such as the Topographic Wetness Index (Beven & Kirkby, ) a good proxy to estimate the groundwater table across a catchment. Other models, such as PDM (Probability Distributed Model, Moore, ) or VarKarst‐R (Hartmann et al, ; Hartmann, Gleeson, Wada, & Wagener, ), implement subsurface heterogeneity by using Pareto functions.…”
Section: Are the Existing Hydrological Watershed Model Concepts Reflementioning
confidence: 99%
“…What then are the types of expert knowledge that contribute to the trustworthiness of global change hydrology research? Expert knowledge is regarded as improving the scientific basis of global change hydrology when used for model development and parameter selection (Gharari et al, ), to consider the effects of model structure (Hartmann, Gleeson, Wada, & Wagener, ), and to improve model consistency relative to hydrological process understanding (Hrachowitz et al, ). Thus, although present hydrologic thought does not recommend direct attribution of global change impacts on the basis of expert knowledge alone, it encourages capitalization on expert knowledge in support of a range of hydrologic modelling activities.…”
Section: Avoiding Climatizationmentioning
confidence: 99%