Articles | Volume 17, issue 2
https://doi.org/10.5194/hess-17-533-2013
https://doi.org/10.5194/hess-17-533-2013
Research article
 | 
07 Feb 2013
Research article |  | 07 Feb 2013

What can flux tracking teach us about water age distribution patterns and their temporal dynamics?

M. Hrachowitz, H. Savenije, T. A. Bogaard, D. Tetzlaff, and C. Soulsby

Related authors

Improving the hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations
Jordy Salmon-Monviola, Ophélie Fovet, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 127–158, https://doi.org/10.5194/hess-29-127-2025,https://doi.org/10.5194/hess-29-127-2025, 2025
Short summary
Soil moisture and precipitation intensity control the transit time distribution of quick flow in a flashy headwater catchment
Hatice Türk, Christine Stumpp, Markus Hrachowitz, Karsten Schulz, Peter Strauss, Günter Blöschl, and Michael Stockinger
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-359,https://doi.org/10.5194/hess-2024-359, 2024
Revised manuscript under review for HESS
Short summary
Evaluation of high-intensity rainfall observations from personal weather stations in the Netherlands
Nathalie Rombeek, Markus Hrachowitz, Arjan Droste, and Remko Uijlenhoet
EGUsphere, https://doi.org/10.5194/egusphere-2024-3207,https://doi.org/10.5194/egusphere-2024-3207, 2024
Short summary
Catchment response to climatic variability: implications for root zone storage and streamflow predictions
Nienke Tempel, Laurène Bouaziz, Riccardo Taormina, Ellis van Noppen, Jasper Stam, Eric Sprokkereef, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 28, 4577–4597, https://doi.org/10.5194/hess-28-4577-2024,https://doi.org/10.5194/hess-28-4577-2024, 2024
Short summary
Root zone in the Earth system
Hongkai Gao, Markus Hrachowitz, Lan Wang-Erlandsson, Fabrizio Fenicia, Qiaojuan Xi, Jianyang Xia, Wei Shao, Ge Sun, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 28, 4477–4499, https://doi.org/10.5194/hess-28-4477-2024,https://doi.org/10.5194/hess-28-4477-2024, 2024
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Exploring the potential processes controlling changes in precipitation–runoff relationships in non-stationary environments
Tian Lan, Tongfang Li, Hongbo Zhang, Jiefeng Wu, Yongqin David Chen, and Chong-Yu Xu
Hydrol. Earth Syst. Sci., 29, 903–924, https://doi.org/10.5194/hess-29-903-2025,https://doi.org/10.5194/hess-29-903-2025, 2025
Short summary
A diversity-centric strategy for the selection of spatio-temporal training data for LSTM-based streamflow forecasting
Everett Snieder and Usman T. Khan
Hydrol. Earth Syst. Sci., 29, 785–798, https://doi.org/10.5194/hess-29-785-2025,https://doi.org/10.5194/hess-29-785-2025, 2025
Short summary
Simulating the Tone River eastward diversion project in Japan carried out 4 centuries ago
Joško Trošelj and Naota Hanasaki
Hydrol. Earth Syst. Sci., 29, 753–766, https://doi.org/10.5194/hess-29-753-2025,https://doi.org/10.5194/hess-29-753-2025, 2025
Short summary
Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers
Léonard Santos, Vazken Andréassian, Torben O. Sonnenborg, Göran Lindström, Alban de Lavenne, Charles Perrin, Lila Collet, and Guillaume Thirel
Hydrol. Earth Syst. Sci., 29, 683–700, https://doi.org/10.5194/hess-29-683-2025,https://doi.org/10.5194/hess-29-683-2025, 2025
Short summary
Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study
Xudong Zheng, Dengfeng Liu, Shengzhi Huang, Hao Wang, and Xianmeng Meng
Hydrol. Earth Syst. Sci., 29, 627–653, https://doi.org/10.5194/hess-29-627-2025,https://doi.org/10.5194/hess-29-627-2025, 2025
Short summary

Cited articles

Akaike, H.: Statistical predictor identification, Ann. Inst. Stat. Math., 22, 203–217, 1970.
Ali, G., Tetzlaff, D., Soulsby, C., McDonnell, J. J., and Capell, R.: A comparison of similarity indices for catchment classification using a cross-regional dataset, Adv. Water Resour., 40, 11–22, 2012.
Anderson, A. E., Weiler, M., Alila, Y., and Hudson, R. O.: Dye staining and excavation of a lateral preferential flow network, Hydrol. Earth Syst. Sci., 13, 935–944, https://doi.org/10.5194/hess-13-935-2009, 2009a.
Anderson, A. E., Weiler, M., Alila, Y., and Hudson, R. O.: Subsurface flow velocities in a hillslope with lateral preferential flow, Water Resour. Res., 45, W11407, https://doi.org/10.1029/2008WR007121, 2009b.
Arheimer, B., Dahne, J., Donnelly, C., Lindström, G., and Strömqvist, J.: Water and nutrient simulations using the HYPE model for Sweden vs. the Baltic Sea basin – influence of input data quality and scale, Hydrol. Res., 43, 315–329, 2012.
Download
Share