Articles | Volume 22, issue 12
https://doi.org/10.5194/hess-22-6415-2018
https://doi.org/10.5194/hess-22-6415-2018
Research article
 | 
10 Dec 2018
Research article |  | 10 Dec 2018

Redressing the balance: quantifying net intercatchment groundwater flows

Laurène Bouaziz, Albrecht Weerts, Jaap Schellekens, Eric Sprokkereef, Jasper Stam, Hubert Savenije, and Markus Hrachowitz

Related authors

Vegetation Response to Climatic Variability: Implications for Root Zone Storage and Streamflow Predictions
Nienke Tessa Tempel, Laurene Bouaziz, Riccardo Taormina, Ellis van Noppen, Jasper Stam, Eric Sprokkereef, and Markus Hrachowitz
EGUsphere, https://doi.org/10.5194/egusphere-2024-115,https://doi.org/10.5194/egusphere-2024-115, 2024
Short summary
Wflow_sbm v0.6.1, a spatially distributed hydrologic model: from global data to local applications
Willem J. van Verseveld, Albrecht H. Weerts, Martijn Visser, Joost Buitink, Ruben O. Imhoff, Hélène Boisgontier, Laurène Bouaziz, Dirk Eilander, Mark Hegnauer, Corine ten Velden, and Bobby Russell
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-182,https://doi.org/10.5194/gmd-2022-182, 2022
Revised manuscript accepted for GMD
Short summary
Ecosystem adaptation to climate change: the sensitivity of hydrological predictions to time-dynamic model parameters
Laurène J. E. Bouaziz, Emma E. Aalbers, Albrecht H. Weerts, Mark Hegnauer, Hendrik Buiteveld, Rita Lammersen, Jasper Stam, Eric Sprokkereef, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 26, 1295–1318, https://doi.org/10.5194/hess-26-1295-2022,https://doi.org/10.5194/hess-26-1295-2022, 2022
Short summary
Behind the scenes of streamflow model performance
Laurène J. E. Bouaziz, Fabrizio Fenicia, Guillaume Thirel, Tanja de Boer-Euser, Joost Buitink, Claudia C. Brauer, Jan De Niel, Benjamin J. Dewals, Gilles Drogue, Benjamin Grelier, Lieke A. Melsen, Sotirios Moustakas, Jiri Nossent, Fernando Pereira, Eric Sprokkereef, Jasper Stam, Albrecht H. Weerts, Patrick Willems, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 25, 1069–1095, https://doi.org/10.5194/hess-25-1069-2021,https://doi.org/10.5194/hess-25-1069-2021, 2021
Short summary
Looking beyond general metrics for model comparison – lessons from an international model intercomparison study
Tanja de Boer-Euser, Laurène Bouaziz, Jan De Niel, Claudia Brauer, Benjamin Dewals, Gilles Drogue, Fabrizio Fenicia, Benjamin Grelier, Jiri Nossent, Fernando Pereira, Hubert Savenije, Guillaume Thirel, and Patrick Willems
Hydrol. Earth Syst. Sci., 21, 423–440, https://doi.org/10.5194/hess-21-423-2017,https://doi.org/10.5194/hess-21-423-2017, 2017
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Technical note: Testing the connection between hillslope-scale runoff fluctuations and streamflow hydrographs at the outlet of large river basins
Ricardo Mantilla, Morgan Fonley, and Nicolás Velásquez
Hydrol. Earth Syst. Sci., 28, 1373–1382, https://doi.org/10.5194/hess-28-1373-2024,https://doi.org/10.5194/hess-28-1373-2024, 2024
Short summary
Empirical stream thermal sensitivity cluster on the landscape according to geology and climate
Lillian M. McGill, E. Ashley Steel, and Aimee H. Fullerton
Hydrol. Earth Syst. Sci., 28, 1351–1371, https://doi.org/10.5194/hess-28-1351-2024,https://doi.org/10.5194/hess-28-1351-2024, 2024
Short summary
Deep learning for monthly rainfall–runoff modelling: a large-sample comparison with conceptual models across Australia
Stephanie R. Clark, Julien Lerat, Jean-Michel Perraud, and Peter Fitch
Hydrol. Earth Syst. Sci., 28, 1191–1213, https://doi.org/10.5194/hess-28-1191-2024,https://doi.org/10.5194/hess-28-1191-2024, 2024
Short summary
On optimization of calibrations of a distributed hydrological model with spatially distributed information on snow
Dipti Tiwari, Mélanie Trudel, and Robert Leconte
Hydrol. Earth Syst. Sci., 28, 1127–1146, https://doi.org/10.5194/hess-28-1127-2024,https://doi.org/10.5194/hess-28-1127-2024, 2024
Short summary
Toward interpretable LSTM-based modeling of hydrological systems
Luis Andres De la Fuente, Mohammad Reza Ehsani, Hoshin Vijai Gupta, and Laura Elizabeth Condon
Hydrol. Earth Syst. Sci., 28, 945–971, https://doi.org/10.5194/hess-28-945-2024,https://doi.org/10.5194/hess-28-945-2024, 2024
Short summary

Cited articles

Ajami, H., Troch, P. A., Maddock, T., Meixner, T., and Eastoe, C.: Quantifying mountain block recharge by means of catchment-scale storage-discharge relationships, Water Resour. Res., 47, W04504, https://doi.org/10.1029/2010WR009598., 2011.
Ameli, A., Gabrielli, C., Morgenstern, U., and McDonnell, J.: Groundwater subsidy from headwaters to their parent water watershed: A combined field-modeling approach, Water Resour. Res., 54, 5110–5125, https://doi.org/10.1029/2017WR022356, 2018.
Ameli, A. A., Beven, K., Erlandsson, M., Creed, I. F., McDonnell, J. J., and Bishop, K.: Primary weathering rates, water transit times, and concentration-discharge relations: A theoretical analysis for the critical zone, Water Resour. Res., 53, 942–960, 2017.
Andréassian, V. and Perrin, C.: On the ambiguous interpretation of the Turc-Budyko nondimensional graph, Water Resour. Res., 48, W10601, https://doi.org/10.1029/2012WR012532, 2012.
Banque Hydro: ©Ministère de l'Ecologie, du Développement Durable et de l'Energie, available at: http://hydro.eaufrance.fr/ (last access: 15 May 2017), 2015.
Download
Short summary
We quantify net intercatchment groundwater flows in the Meuse basin in a complementary three-step approach through (1) water budget accounting, (2) testing a set of conceptual hydrological models and (3) evaluating against remote sensing actual evaporation data. We show that net intercatchment groundwater flows can make up as much as 25 % of mean annual precipitation in the headwaters and should therefore be accounted for in conceptual models to prevent overestimating actual evaporation rates.