73 citations as recorded by crossref.

1. Magic components—why quantifying rain, snowmelt, and icemelt in river discharge is not easy M. Weiler et al. https://doi.org/10.1002/hyp.11361
2. Water ages in the critical zone of long-term experimental sites in northern latitudes M. Sprenger et al. https://doi.org/10.5194/hess-22-3965-2018
3. Insights into the water mean transit time in a high-elevation tropical ecosystem G. Mosquera et al. https://doi.org/10.5194/hess-20-2987-2016
4. Comment on “A comparison of catchment travel times and storage deduced from deuterium and tritium tracers using StorAge Selection functions” by Rodriguez et al. (2021) M. Stewart et al. https://doi.org/10.5194/hess-25-6333-2021
5. Impact of drought hazards on flow regimes in anthropogenically impacted streams: an isotopic perspective on climate stress M. Warter et al. https://doi.org/10.5194/nhess-24-3907-2024
6. Temporal dynamics in dominant runoff sources and flow paths in the Andean Páramo A. Correa et al. https://doi.org/10.1002/2016WR020187
7. The Seasonal Origins of Streamwater in Switzerland S. Allen et al. https://doi.org/10.1029/2019GL084552
8. Stable isotope and hydrogeological measurements: Implications for transit time and mixing ratio in a riparian system of the Danube River G. Czuppon et al. https://doi.org/10.1016/j.jhydrol.2024.132412
9. The Demographics of Water: A Review of Water Ages in the Critical Zone M. Sprenger et al. https://doi.org/10.1029/2018RG000633
10. Catchment hydrological response and transport are affected differently by precipitation intensity and antecedent wetness J. Knapp et al. https://doi.org/10.5194/hess-29-3673-2025
11. Aggregation in environmental systems – Part 2: Catchment mean transit times and young water fractions under hydrologic nonstationarity J. Kirchner https://doi.org/10.5194/hess-20-299-2016
12. Quantifying new water fractions and transit time distributions using ensemble hydrograph separation: theory and benchmark tests J. Kirchner https://doi.org/10.5194/hess-23-303-2019
13. Transit Time Estimation in Catchments: Recent Developments and Future Directions P. Benettin et al. https://doi.org/10.1029/2022WR033096
14. Spatial variability in the isotopic composition of rainfall in a small headwater catchment and its effect on hydrograph separation B. Fischer et al. https://doi.org/10.1016/j.jhydrol.2017.01.045
15. Aggregation in environmental systems – Part 1: Seasonal tracer cycles quantify young water fractions, but not mean transit times, in spatially heterogeneous catchments J. Kirchner https://doi.org/10.5194/hess-20-279-2016
16. The relationship between contrasting ages of groundwater and streamflow W. Berghuijs & J. Kirchner https://doi.org/10.1002/2017GL074962
17. Assessment of streamflow components and hydrologic transit times using stable isotopes of oxygen and hydrogen in waters of a subtropical watershed in eastern China M. Hu et al. https://doi.org/10.1016/j.jhydrol.2020.125363
18. Analysis of Hydrological Memory Characteristics in Taiwan’s Catchments T. Fang et al. https://doi.org/10.3390/atmos16010019
19. A rational performance criterion for hydrological model D. Liu https://doi.org/10.1016/j.jhydrol.2020.125488
20. Tandem Use of Multiple Tracers and Metrics to Identify Dynamic and Slow Hydrological Flowpaths R. Dwivedi et al. https://doi.org/10.3389/frwa.2022.841144
21. Combining traditional nutrient load analysis with storm hydrograph separation reveals concealed patterns in event-driven nutrient export in a rural headwater catchment L. Ditzel et al. https://doi.org/10.5194/hess-30-4209-2026
22. Geomorphological Controls on Groundwater Transit Times: A Synthetic Analysis at the Hillslope Scale A. Gauvain et al. https://doi.org/10.1029/2020WR029463
23. Nitrate removal and young stream water fractions at the catchment scale P. Benettin et al. https://doi.org/10.1002/hyp.13781
24. Young water fractions in spring discharge S. Seelig et al. https://doi.org/10.1016/j.jhydrol.2026.135221
25. On the shape of forward transit time distributions in low-order catchments I. Heidbüchel et al. https://doi.org/10.5194/hess-24-2895-2020
26. 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 S. Wang et al. https://doi.org/10.5194/hess-27-3083-2023
27. Streamflow Generation From Catchments of Contrasting Lithologies: The Role of Soil Properties, Topography, and Catchment Size D. Xiao et al. https://doi.org/10.1029/2018WR023736
28. Revealing the positive influence of young water fractions derived from stable isotopes on the robustness of karst water resources predictions K. Çallı et al. https://doi.org/10.1016/j.jhydrol.2023.129549
29. Coupling stable isotopes and glacier mass balance reduces uncertainty in glacio-hydrological modelling L. Yong et al. https://doi.org/10.1016/j.ejrh.2026.103312
30. Inferring changes in water cycle dynamics of intensively managed landscapes via the theory of time‐variant travel time distributions M. Danesh‐Yazdi et al. https://doi.org/10.1002/2016WR019091
31. Travel times for snowmelt‐dominated headwater catchments: Influences of wetlands and forest harvesting, and linkages to stream water quality J. Leach et al. https://doi.org/10.1002/hyp.13746
32. Aggregation effects on tritium-based mean transit times and young water fractions in spatially heterogeneous catchments and groundwater systems M. Stewart et al. https://doi.org/10.5194/hess-21-4615-2017
33. Toward catchment hydro‐biogeochemical theories L. Li et al. https://doi.org/10.1002/wat2.1495
34. The CH-IRP data set: a decade of fortnightly data on δ2H and δ18O in streamflow and precipitation in Switzerland M. Staudinger et al. https://doi.org/10.5194/essd-12-3057-2020
35. Stochastic model for subsurface water flow in Swiss catchments M. Bovier et al. https://doi.org/10.1016/j.advwatres.2024.104883
36. Spatio‐temporal variability of the isotopic input signal in a partly forested catchment: Implications for hydrograph separation C. Cayuela et al. https://doi.org/10.1002/hyp.13309
37. Spatial Patterns of Water Age: Using Young Water Fractions to Improve the Characterization of Transit Times in Contrasting Catchments S. Lutz et al. https://doi.org/10.1029/2017WR022216
38. Monthly new water fractions and their relationships with climate and catchment properties across Alpine rivers M. Floriancic et al. https://doi.org/10.5194/hess-28-3675-2024
39. Technical note: Pitfalls in using log-transformed flows within the KGE criterion L. Santos et al. https://doi.org/10.5194/hess-22-4583-2018
40. Delineation of water flow paths in a tropical Andean headwater catchment with deep soils and permeable bedrock B. Lahuatte et al. https://doi.org/10.1002/hyp.14725
41. Linking water age and solute dynamics in streamflow at the Hubbard Brook Experimental Forest, NH, USA P. Benettin et al. https://doi.org/10.1002/2015WR017552
42. Time series of tritium, stable isotopes and chloride reveal short-term variations in groundwater contribution to a stream C. Duvert et al. https://doi.org/10.5194/hess-20-257-2016
43. Constitution of a catchment virtual observatory for sharing flow and transport models outputs Z. Thomas et al. https://doi.org/10.1016/j.jhydrol.2016.04.067
44. Catchment water storage variation with elevation M. Staudinger et al. https://doi.org/10.1002/hyp.11158
45. Sensitivity of young water fractions to hydro-climatic forcing and landscape properties across 22 Swiss catchments J. von Freyberg et al. https://doi.org/10.5194/hess-22-3841-2018
46. Droughts can reduce the nitrogen retention capacity of catchments C. Winter et al. https://doi.org/10.5194/hess-27-303-2023
47. A preliminary estimate of how stream water age is influenced by changing runoff sources in the Nagqu river water shed, Qinghai‐Tibet Plateau Y. Yang et al. https://doi.org/10.1002/hyp.14380
48. Water Flux Tracking With a Distributed Hydrological Model to Quantify Controls on the Spatio‐temporal Variability of Transit Time Distributions F. Remondi et al. https://doi.org/10.1002/2017WR021689
49. Assessing basin storage: Comparison of hydrometric‐ and tracer‐based indices of dynamic and total storage C. Cooke & J. Buttle https://doi.org/10.1002/hyp.13731
50. Snow drought reduces water transit times in headwater streams C. Segura https://doi.org/10.1002/hyp.14437
51. The Variability of Stable Water Isotopes and the Young Water Fraction in a Mountainous Catchment S. Ye et al. https://doi.org/10.1002/clen.202100337
52. How old is the water in the Yellow River Source Area? A multiscale analysis using transit time distributions J. Fang et al. https://doi.org/10.1016/j.jhydrol.2025.134265
53. Runoff Losses on Urban Surfaces during Frequent Rainfall Events: A Review of Observations and Modeling Attempts M. Rammal & E. Berthier https://doi.org/10.3390/w12102777
54. ‘Teflon Basin’ or Not? A High-Elevation Catchment Transit Time Modeling Approach J. Schmieder et al. https://doi.org/10.3390/hydrology6040092
55. Transport and Water Age Dynamics in Soils: A Comparative Study of Spatially Integrated and Spatially Explicit Models M. Asadollahi et al. https://doi.org/10.1029/2019WR025539
56. Thermodynamics in the hydrologic response: Travel time formulation and application to Alpine catchments F. Comola et al. https://doi.org/10.1002/2014WR016228
57. A sprinkling experiment to quantify celerity–velocity differences at the hillslope scale W. van Verseveld et al. https://doi.org/10.5194/hess-21-5891-2017
58. New water fractions and transit time distributions at Plynlimon, Wales, estimated from stable water isotopes in precipitation and streamflow J. Knapp et al. https://doi.org/10.5194/hess-23-4367-2019
59. On the use of streamflow transformations for hydrological model calibration G. Thirel et al. https://doi.org/10.5194/hess-28-4837-2024
60. Challenges in upscaling process-based groundwater quality models to the global domain scale F. Teuling et al. https://doi.org/10.1088/2515-7620/ae69a2
61. Storage selection functions: A coherent framework for quantifying how catchments store and release water and solutes A. Rinaldo et al. https://doi.org/10.1002/2015WR017273
62. Consistent Modeling of Transport Processes and Travel Times—Coupling Soil Hydrologic Processes With StorAge Selection Functions R. Schwemmle & M. Weiler https://doi.org/10.1029/2023WR034441
63. Uncertainty in water transit time estimation with StorAge Selection functions and tracer data interpolation A. Borriero et al. https://doi.org/10.5194/hess-27-2989-2023
64. Storage dynamics, hydrological connectivity and flux ages in a karst catchment: conceptual modelling using stable isotopes Z. Zhang et al. https://doi.org/10.5194/hess-23-51-2019
65. Discharge‐Modulated Soil Organic Carbon Export From Temperate Mountainous Headwater Streams H. Gies et al. https://doi.org/10.1029/2021JG006624
66. Bridging the gap between numerical solutions of travel time distributions and analytical storage selection functions M. Danesh‐Yazdi et al. https://doi.org/10.1002/hyp.11481
67. Identification of groundwater mean transit times of precipitation and riverbank infiltration by two‐component lumped parameter models N. Le Duy et al. https://doi.org/10.1002/hyp.13549
68. Factors controlling inter-catchment variation of mean transit time with consideration of temporal variability W. Ma & T. Yamanaka https://doi.org/10.1016/j.jhydrol.2015.12.061
69. Using isotopes to understand the evolution of water ages in disturbed mixed land‐use catchments K. Dimitrova‐Petrova et al. https://doi.org/10.1002/hyp.13627
70. Importance of tritium‐based transit times in hydrological systems M. Stewart & U. Morgenstern https://doi.org/10.1002/wat2.1134
71. Estimating flow and transport parameters in the unsaturated zone with pore water stable isotopes M. Sprenger et al. https://doi.org/10.5194/hess-19-2617-2015
72. Travel times in the vadose zone: Variability in space and time M. Sprenger et al. https://doi.org/10.1002/2015WR018077
73. Vertical Connectivity Regulates Water Transit Time and Chemical Weathering at the Hillslope Scale D. Xiao et al. https://doi.org/10.1029/2020WR029207