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

Interannual land cover and vegetation variability based on remote sensing data in the HTESSEL land surface model: implementation and effects on simulated water dynamics
Fransje van Oorschot, Ruud J. van der Ent, Markus Hrachowitz, Emanuele Di Carlo, Franco Catalano, Souhail Boussetta, Gianpaolo Balsamo, and Andrea Alessandri
Earth Syst. Dynam., 14, 1239–1259, https://doi.org/10.5194/esd-14-1239-2023,https://doi.org/10.5194/esd-14-1239-2023, 2023
Short summary
Influence of irrigation on root zone storage capacity estimation
Fransje van Oorschot, Ruud J. van der Ent, Andrea Alessandri, and Markus Hrachowitz
EGUsphere, https://doi.org/10.5194/egusphere-2023-2622,https://doi.org/10.5194/egusphere-2023-2622, 2023
Short summary
Stable water isotopes and tritium tracers tell the same tale: no evidence for underestimation of catchment transit times inferred by stable isotopes in StorAge Selection (SAS)-function models
Siyuan Wang, Markus Hrachowitz, Gerrit Schoups, and Christine Stumpp
Hydrol. Earth Syst. Sci., 27, 3083–3114, https://doi.org/10.5194/hess-27-3083-2023,https://doi.org/10.5194/hess-27-3083-2023, 2023
Short summary
Coupling a global glacier model to a global hydrological model prevents underestimation of glacier runoff
Pau Wiersma, Jerom Aerts, Harry Zekollari, Markus Hrachowitz, Niels Drost, Matthias Huss, Edwin H. Sutanudjaja, and Rolf Hut
Hydrol. Earth Syst. Sci., 26, 5971–5986, https://doi.org/10.5194/hess-26-5971-2022,https://doi.org/10.5194/hess-26-5971-2022, 2022
Short summary
Potential of satellite-derived hydro-meteorological information for landslide initiation thresholds in Rwanda
Judith Uwihirwe, Alessia Riveros, Hellen Wanjala, Jaap Schellekens, Frederiek Sperna Weiland, Markus Hrachowitz, and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 22, 3641–3661, https://doi.org/10.5194/nhess-22-3641-2022,https://doi.org/10.5194/nhess-22-3641-2022, 2022
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Modelling flood frequency and magnitude in a glacially conditioned, heterogeneous landscape: testing the importance of land cover and land use
Pamela E. Tetford and Joseph R. Desloges
Hydrol. Earth Syst. Sci., 27, 3977–3998, https://doi.org/10.5194/hess-27-3977-2023,https://doi.org/10.5194/hess-27-3977-2023, 2023
Short summary
Direct integration of reservoirs' operations in a hydrological model for streamflow estimation: coupling a CLSTM model with MOHID-Land
Ana Ramos Oliveira, Tiago Brito Ramos, Lígia Pinto, and Ramiro Neves
Hydrol. Earth Syst. Sci., 27, 3875–3893, https://doi.org/10.5194/hess-27-3875-2023,https://doi.org/10.5194/hess-27-3875-2023, 2023
Short summary
Modelling the regional sensitivity of snowmelt, soil moisture, and streamflow generation to climate over the Canadian Prairies using a basin classification approach
Zhihua He, Kevin Shook, Christopher Spence, John W. Pomeroy, and Colin Whitfield
Hydrol. Earth Syst. Sci., 27, 3525–3546, https://doi.org/10.5194/hess-27-3525-2023,https://doi.org/10.5194/hess-27-3525-2023, 2023
Short summary
To what extent does river routing matter in hydrological modeling?
Nicolás Cortés-Salazar, Nicolás Vásquez, Naoki Mizukami, Pablo A. Mendoza, and Ximena Vargas
Hydrol. Earth Syst. Sci., 27, 3505–3524, https://doi.org/10.5194/hess-27-3505-2023,https://doi.org/10.5194/hess-27-3505-2023, 2023
Short summary
Calibrating macroscale hydrological models in poorly gauged and heavily regulated basins
Dung Trung Vu, Thanh Duc Dang, Francesca Pianosi, and Stefano Galelli
Hydrol. Earth Syst. Sci., 27, 3485–3504, https://doi.org/10.5194/hess-27-3485-2023,https://doi.org/10.5194/hess-27-3485-2023, 2023
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