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

Influence of irrigation on root zone storage capacity estimation
Fransje van Oorschot, Ruud J. van der Ent, Andrea Alessandri, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 28, 2313–2328, https://doi.org/10.5194/hess-28-2313-2024,https://doi.org/10.5194/hess-28-2313-2024, 2024
Short summary
Catchments do not strictly follow Budyko curves over multiple decades but deviations are minor and predictable
Muhammad Ibrahim, Miriam Coenders-Gerrits, Ruud van der Ent, and Markus Hrachowitz
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-120,https://doi.org/10.5194/hess-2024-120, 2024
Preprint under review for HESS
Short summary
Multi-decadal fluctuations in root zone storage capacity through vegetation adaptation to hydro-climatic variability has minor effects on the hydrological response in the Neckar basin, Germany
Siyuan Wang, Markus Hrachowitz, and Gerrit Schoups
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-62,https://doi.org/10.5194/hess-2024-62, 2024
Revised manuscript under review for HESS
Short summary
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
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 Savenije
EGUsphere, https://doi.org/10.5194/egusphere-2024-332,https://doi.org/10.5194/egusphere-2024-332, 2024
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Metamorphic testing of machine learning and conceptual hydrologic models
Peter Reichert, Kai Ma, Marvin Höge, Fabrizio Fenicia, Marco Baity-Jesi, Dapeng Feng, and Chaopeng Shen
Hydrol. Earth Syst. Sci., 28, 2505–2529, https://doi.org/10.5194/hess-28-2505-2024,https://doi.org/10.5194/hess-28-2505-2024, 2024
Short summary
The influence of human activities on streamflow reductions during the megadrought in central Chile
Nicolás Álamos, Camila Alvarez-Garreton, Ariel Muñoz, and Álvaro González-Reyes
Hydrol. Earth Syst. Sci., 28, 2483–2503, https://doi.org/10.5194/hess-28-2483-2024,https://doi.org/10.5194/hess-28-2483-2024, 2024
Short summary
Elevational control of isotopic composition and application in understanding hydrologic processes in the mid Merced River catchment, Sierra Nevada, California, USA
Fengjing Liu, Martha H. Conklin, and Glenn D. Shaw
Hydrol. Earth Syst. Sci., 28, 2239–2258, https://doi.org/10.5194/hess-28-2239-2024,https://doi.org/10.5194/hess-28-2239-2024, 2024
Short summary
Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach
Qiutong Yu, Bryan A. Tolson, Hongren Shen, Ming Han, Juliane Mai, and Jimmy Lin
Hydrol. Earth Syst. Sci., 28, 2107–2122, https://doi.org/10.5194/hess-28-2107-2024,https://doi.org/10.5194/hess-28-2107-2024, 2024
Short summary
Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain
Marcus Buechel, Louise Slater, and Simon Dadson
Hydrol. Earth Syst. Sci., 28, 2081–2105, https://doi.org/10.5194/hess-28-2081-2024,https://doi.org/10.5194/hess-28-2081-2024, 2024
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