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Külls, C.; Jobin, J.; Weiler, M. |
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Environmental analytics for water carbon management: enable WCM: Schlussbericht |
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2015 |
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Albert Ludwigs Universität, Professur für Hydrologie |
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THL @ christoph.kuells @ Kuells2015environmental |
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65 |
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Udluft, P.; Dünkeloh, A.; Mederer, J.; Külls, C.; Schaller, J. |
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Re-evaluation of the groundwater resources of Cyprus |
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2006 |
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Lefkosia |
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THL @ christoph.kuells @ Udluft2006re |
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66 |
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Author |
Adar, E.M.; Külls, C. |
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Title |
MCM sf–Mixing-cell model for a steady flow MIG–Mixing-cell input generator: A short manual for installation and operation of MCM sf using the MIG–mixing-cell input generator |
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2002 |
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THL @ christoph.kuells @ adar2002mcm |
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67 |
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Author |
Leibundgut, C.; Maloszewski, P.; Külls, C. |
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Title |
Tracers in Hydrology |
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Book Whole |
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2009 |
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1. Ed. |
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John Wiley & Sons, Ltd |
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THL @ christoph.kuells @ Leibundgut2009tracers |
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37 |
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United Nations |
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Title |
Stampriet Transboundary Aquifer System Assessment: governance of Groundwater resources in Transboundary Aquifers (GGRETA), phase 1: technical report |
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Miscellaneous |
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1998 |
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Incl. bibl. |
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THL @ christoph.kuells @ |
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286 |
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Zwartendijk, B.W.; Ghimire C. P.; Ravelona M.; Lahitiana J.; van Meerveld H. J. |
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Hydrometric data and stable isotope data for streamflow and rainfall in the Marolaona catchment, Madagascar, 2015-2016 |
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Miscellaneous |
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2023 |
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NERC EDS Environmental Information Data Centre |
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THL @ christoph.kuells @ ref10.5285/f93d87ed-7bc4-4d03-9690-3856e6cbbd11 |
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289 |
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Author |
Külls, C.H.; Eichinger, F.; Fader, H.J.; Leistert, H.; Lorenz, G.; Szakacs, E. |
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Title |
New Environmental Analytical Techniques to Monitor Carbon Sequestration |
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Conference Article |
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2011 |
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1st EAGE Sustainable Earth Sciences (SES) Conference and Exhibition |
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268 |
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European Association of Geoscientists & Engineers |
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THL @ christoph.kuells @ Kuells2011new |
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47 |
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Grodek, T.; Enzel, Y.; Morin, E.; Jacoby, Y.; Dahan, O.; Benito, G.; Kulls, C.; Geller, A.; Van Langenhove, G.; Seely, M. |
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Flood hydrology, flood routing, paleohydrology and the estimation of water resources along the shallow alluvial aquifers of the Kuiseb River, Namibia |
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Conference Article |
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2008 |
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Abstracts – Israel Geological Society |
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2008 |
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37 |
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Israel Geological Society |
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THL @ christoph.kuells @ Grodek2008flood |
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56 |
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Jing, M.; Kumar, R.; Attinger, S.; Li, Q.; Lu, C.; Heße, F. |
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Assessing the contribution of groundwater to catchment travel time distributions through integrating conceptual flux tracking with explicit Lagrangian particle tracking |
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Journal Article |
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2021 |
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Advances in Water Resources |
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149 |
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103849 |
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Keywords |
Travel time distribution, Flux tracking, Particle tracking, Coupled model, Predictive uncertainty |
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Abstract |
Travel time distributions (TTDs) provide an effective way to describe the transport and mixing processes of water parcels in a subsurface hydrological system. A major challenge in characterizing catchment TTD is quantifying the travel times in deep groundwater and its contribution to the streamflow TTD. Here, we develop and test a novel modeling framework for an integrated assessment of catchment scale TTDs through explicit representation of 3D-groundwater dynamics. The proposed framework is based on the linkage between a flux tracking scheme with the surface hydrologic model (mHM) for the soil-water compartment and a particle tracking scheme with the 3D-groundwater model OpenGeoSys (OGS) for the groundwater compartment. This linkage provides us with the ability to simulate the spatial and temporal dynamics of TTDs in these different hydrological compartments from grid scale to regional scale. We apply this framework in the Nägelstedt catchment in central Germany. Simulation results reveal that both shape and scale of grid-scale groundwater TTDs are spatially heterogeneous, which are strongly dependent on the topography and aquifer structure. The component-wise analysis of catchment TTD shows a time-dependent sensitivity of transport processes in soil zone and groundwater to driving meteorological forcing. Catchment TTD exhibits a power-law shape and fractal behavior. The predictive uncertainty in catchment mean travel time is dominated by the uncertainty in the deep groundwater rather than that in the soil zone. Catchment mean travel time is severely biased by a marginal error in groundwater characterization. Accordingly, we recommend to use multiple summary statistics to minimize the predictive uncertainty introduced by the tailing behavior of catchment TTD. |
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0309-1708 |
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THL @ christoph.kuells @ Jing2021103849 |
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220 |
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Author |
Brutsaert, W. |
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Global land surface evaporation trend during the past half century: Corroboration by Clausius-Clapeyron scaling |
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Journal Article |
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2017 |
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Advances in Water Resources |
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106 |
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3-5 |
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Evaporation, Climate change, Evaporation trend |
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Analyses of satellite data mainly over the world’s ocean surfaces have shown that during 1986–2006 global average values of atmospheric water vapor, precipitation and evaporation have increased at a relative rate of 0.0013a−1; this is roughly in accordance with the Clausius-Clapeyron equation for the average temperature trend during this period, and amounts to 0.065K−1 at the average temperature of T=14∘C. Application of this concept over the world’s land surfaces yields an average global evaporation trend during the past half century of around 0.4 to 0.5 mma−2; this confirms the values obtained in previous studies with totally different methods. |
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0309-1708 |
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Tribute to Professor Garrison Sposito: An Exceptional Hydrologist and Geochemist |
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THL @ christoph.kuells @ Brutsaert20173 |
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287 |
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