Articles | Volume 17, issue 8
https://doi.org/10.5194/hess-17-3305-2013
https://doi.org/10.5194/hess-17-3305-2013
Research article
 | 
23 Aug 2013
Research article |  | 23 Aug 2013

Process-based karst modelling to relate hydrodynamic and hydrochemical characteristics to system properties

A. Hartmann, M. Weiler, T. Wagener, J. Lange, M. Kralik, F. Humer, N. Mizyed, A. Rimmer, J. A. Barberá, B. Andreo, C. Butscher, and P. Huggenberger

Related authors

Trends in long-term hydrological data from European karst areas: insights for groundwater recharge evaluation
Markus Giese, Yvan Caballero, Andreas Hartmann, and Jean-Baptiste Charlier
Hydrol. Earth Syst. Sci., 29, 3037–3054, https://doi.org/10.5194/hess-29-3037-2025,https://doi.org/10.5194/hess-29-3037-2025, 2025
Short summary
Groundwater head responses to droughts across Germany
Pia Ebeling, Andreas Musolff, Rohini Kumar, Andreas Hartmann, and Jan H. Fleckenstein
Hydrol. Earth Syst. Sci., 29, 2925–2950, https://doi.org/10.5194/hess-29-2925-2025,https://doi.org/10.5194/hess-29-2925-2025, 2025
Short summary
The ISIMIP Groundwater Sector: A Framework for Ensemble Modeling of Global Change Impacts on Groundwater
Robert Reinecke, Annemarie Bäthge, Ricarda Dietrich, Sebastian Gnann, Simon N. Gosling, Danielle Grogan, Andreas Hartmann, Stefan Kollet, Rohini Kumar, Richard Lammers, Sida Liu, Yan Liu, Nils Moosdorf, Bibi Naz, Sara Nazari, Chibuike Orazulike, Yadu Pokhrel, Jacob Schewe, Mikhail Smilovic, Maryna Strokal, Yoshihide Wada, Shan Zuidema, and Inge de Graaf
EGUsphere, https://doi.org/10.5194/egusphere-2025-1181,https://doi.org/10.5194/egusphere-2025-1181, 2025
Short summary
Assessing groundwater level modelling using a 1-D convolutional neural network (CNN): linking model performances to geospatial and time series features
Mariana Gomez, Maximilian Nölscher, Andreas Hartmann, and Stefan Broda
Hydrol. Earth Syst. Sci., 28, 4407–4425, https://doi.org/10.5194/hess-28-4407-2024,https://doi.org/10.5194/hess-28-4407-2024, 2024
Short summary
Incorporating experimentally derived streamflow contributions into model parameterization to improve discharge prediction
Andreas Hartmann, Jean-Lionel Payeur-Poirier, and Luisa Hopp
Hydrol. Earth Syst. Sci., 27, 1325–1341, https://doi.org/10.5194/hess-27-1325-2023,https://doi.org/10.5194/hess-27-1325-2023, 2023
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Merits and limits of SWAT-GL: application in contrasting glaciated catchments
Timo Schaffhauser, Florentin Hofmeister, Gabriele Chiogna, Fabian Merk, Ye Tuo, Julian Machnitzke, Lucas Alcamo, Jingshui Huang, and Markus Disse
Hydrol. Earth Syst. Sci., 29, 3227–3256, https://doi.org/10.5194/hess-29-3227-2025,https://doi.org/10.5194/hess-29-3227-2025, 2025
Short summary
Hydrological regime index for non-perennial rivers
Pablo Fernando Dornes and Rocío Noelia Comas
Hydrol. Earth Syst. Sci., 29, 2901–2923, https://doi.org/10.5194/hess-29-2901-2025,https://doi.org/10.5194/hess-29-2901-2025, 2025
Short summary
Assessing the adequacy of traditional hydrological models for climate change impact studies: a case for long short-term memory (LSTM) neural networks
Jean-Luc Martel, François Brissette, Richard Arsenault, Richard Turcotte, Mariana Castañeda-Gonzalez, William Armstrong, Edouard Mailhot, Jasmine Pelletier-Dumont, Gabriel Rondeau-Genesse, and Louis-Philippe Caron
Hydrol. Earth Syst. Sci., 29, 2811–2836, https://doi.org/10.5194/hess-29-2811-2025,https://doi.org/10.5194/hess-29-2811-2025, 2025
Short summary
Assessing the value of high-resolution data and parameter transferability across temporal scales in hydrological modeling: a case study in northern China
Mahmut Tudaji, Yi Nan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 29, 2633–2654, https://doi.org/10.5194/hess-29-2633-2025,https://doi.org/10.5194/hess-29-2633-2025, 2025
Short summary
Technical note: How many models do we need to simulate hydrologic processes across large geographical domains?
Wouter J. M. Knoben, Ashwin Raman, Gaby J. Gründemann, Mukesh Kumar, Alain Pietroniro, Chaopeng Shen, Yalan Song, Cyril Thébault, Katie van Werkhoven, Andrew W. Wood, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 29, 2361–2375, https://doi.org/10.5194/hess-29-2361-2025,https://doi.org/10.5194/hess-29-2361-2025, 2025
Short summary

Cited articles

Anderson, R. G. and Goulden, M. L.: Relationships between climate, vegetation, and energy exchange across a montane gradient, J. Geophys. Res., 116, G01026, https://doi.org/10.1029/2010jg001476, 2011.
Aquilina, L., Ladouche, B., and Doerfliger, N.: Water storage and transfer in the epikarst of karstic systems during high flow periods, J. Hydrol., 327, 472–485, 2006.
Bailly-Comte, V., Borrell-Estupina, V., Jourde, H., and Pistre, S.: A conceptual semidistributed model of the Coulazou River as a tool for assessing surface water–karst groundwater interactions during flood in Mediterranean ephemeral rivers, Water Resour. Res., 48, W09534, https://doi.org/10.1029/2010wr010072, 2012.
Bakalowicz, M.: Karst groundwater: a challenge for new resources, Hydrogeol. J., 13, 148–160, 2005.
Barberá, J. A. and Andreo, B.: Functioning of a karst aquifer from S Spain under highly variable climate conditions, deduced from hydrochemical records, Environ. Earth Sci., 65, 2337–2349, https://doi.org/10.1007/s12665-011-1382-4, 2011.
Download
Share