104 citations as recorded by crossref.

1. The importance of topography-controlled sub-grid process heterogeneity and semi-quantitative prior constraints in distributed hydrological models R. Nijzink et al. https://doi.org/10.5194/hess-20-1151-2016
2. Estimation of Lake Outflow from the Poorly Gauged Lake Tana (Ethiopia) Using Satellite Remote Sensing Data Z. Duan et al. https://doi.org/10.3390/rs10071060
3. SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models M. Dal Molin et al. https://doi.org/10.5194/gmd-14-7047-2021
4. Predicting the ungauged basin: model validation and realism assessment T. van Emmerik et al. https://doi.org/10.3389/feart.2015.00062
5. Retention of Afforestation Areas as Part of Flood Protection - Research Site and Methodology for Headwater Watershad in Poland / Retencja Leśna Zlewni Jako Element Ochrony Przeciwpowodziowej T. Orczykowski & A. Tiukało https://doi.org/10.1515/ceer-2016-0006
6. Simulating glacier mass balance and its contribution to runoff in Northern Sweden B. Mohammadi et al. https://doi.org/10.1016/j.jhydrol.2023.129404
7. Enhancing rainfall–runoff model accuracy with machine learning models by using soil water index to reflect runoff characteristics S. Iamampai et al. https://doi.org/10.2166/wst.2023.424
8. Accounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region H. Gao et al. https://doi.org/10.1002/2016WR019574
9. A unified runoff generation scheme for applicability across different hydrometeorological zones Q. Zhang et al. https://doi.org/10.1016/j.envsoft.2024.106138
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11. Process refinements improve a hydrological model concept applied to the Niger River basin J. Andersson et al. https://doi.org/10.1002/hyp.11376
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13. Assessing the interlinkage of green and blue water in an arid catchment in Northwest China G. Mao et al. https://doi.org/10.1007/s10653-019-00406-3
14. Comparing the Normalized Difference Infrared Index (NDII) with root zone storage in a lumped conceptual model N. Sriwongsitanon et al. https://doi.org/10.5194/hess-20-3361-2016
15. Derivation of Flow Duration Curves to Estimate Hydropower Generation Potential in Data-Scarce Regions F. Reichl & J. Hack https://doi.org/10.3390/w9080572
16. Estimating extreme river discharges in Europe through a Bayesian network D. Paprotny & O. Morales-Nápoles https://doi.org/10.5194/hess-21-2615-2017
17. Incorporating Plant Access to Groundwater in Existing Global, Satellite‐Based Evaporation Estimates P. Hulsman et al. https://doi.org/10.1029/2022WR033731
18. Spatiotemporal soil moisture response and controlling factors along a hillslope E. Lee & S. Kim https://doi.org/10.1016/j.jhydrol.2021.127382
19. Parameter regionalization of the FLEX-Global hydrological model J. Wang et al. https://doi.org/10.1007/s11430-020-9706-3
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21. Improving the Representation of Long‐Term Storage Variations With Conceptual Hydrological Models in Data‐Scarce Regions P. Hulsman et al. https://doi.org/10.1029/2020WR028837
22. A comprehensive strategy for modeling watershed restoration priority areas under epistemic uncertainty: A case study in the Atlantic Forest, Brazil I. Possantti et al. https://doi.org/10.1016/j.jhydrol.2022.129003
23. The Value of Using Multiple Hydrometeorological Variables to Predict Temporal Debris Flow Susceptibility in an Alpine Environment D. Prenner et al. https://doi.org/10.1029/2018WR022985
24. Modeling Ecohydrological Processes and Spatial Patterns in the Upper Heihe Basin in China B. Gao et al. https://doi.org/10.3390/f7010010
25. Sensitivity and Performance Analyses of the Distributed Hydrology–Soil–Vegetation Model Using Geomorphons for Landform Mapping P. Melo et al. https://doi.org/10.3390/w13152032
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. Understanding the impacts of catchment characteristics on the shape of the storage capacity curve and its influence on flood flows H. Gao et al. https://doi.org/10.2166/nh.2017.245
28. Systematic increase in model complexity helps to identify dominant streamflow mechanisms in two small forested basins P. David et al. https://doi.org/10.1080/02626667.2019.1585858
29. Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications W. van Verseveld et al. https://doi.org/10.5194/gmd-17-3199-2024
30. Time scale interactions and the coevolution of humans and water M. Sivapalan & G. Blöschl https://doi.org/10.1002/2015WR017896
31. Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai–Tibet Plateau H. Gao et al. https://doi.org/10.5194/hess-26-4187-2022
32. Use of auxiliary data of topography, snow and ice to improve model performance in a glacier-dominated catchment in Central Asia H. Gao et al. https://doi.org/10.2166/nh.2016.242
33. Assessment of surface water resources availability using catchment modelling and the results of tracer studies in the mesoscale Migina Catchment, Rwanda O. Munyaneza et al. https://doi.org/10.5194/hess-18-5289-2014
34. Changes of hydro-meteorological trigger conditions for debris flows in a future alpine climate R. Kaitna et al. https://doi.org/10.1016/j.scitotenv.2023.162227
35. Future changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in Austria S. Hanus et al. https://doi.org/10.5194/hess-25-3429-2021
36. HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation A. Bahremand https://doi.org/10.5194/hess-20-1433-2016
37. Hydrologic landscape classification evaluates streamflow vulnerability to climate change in Oregon, USA S. Leibowitz et al. https://doi.org/10.5194/hess-18-3367-2014
38. Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region P. Hulsman et al. https://doi.org/10.5194/hess-24-3331-2020
39. Characterization of soil moisture response patterns and hillslope hydrological processes through a self-organizing map E. Lee & S. Kim https://doi.org/10.5194/hess-25-5733-2021
40. Attribution of runoff change in the alpine basin: a case study of the Heihe Upstream Basin, China Z. Cong et al. https://doi.org/10.1080/02626667.2017.1283043
41. A topographic index explaining hydrological similarity by accounting for the joint controls of runoff formation R. Loritz et al. https://doi.org/10.5194/hess-23-3807-2019
42. The importance of aspect for modelling the hydrological response in a glacier catchment in Central Asia H. Gao et al. https://doi.org/10.1002/hyp.11224
43. Comparison modeling for alpine vegetation distribution in an arid area J. Zhou et al. https://doi.org/10.1007/s10661-016-5417-x
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45. A constraint-based search algorithm for parameter identification of environmental models S. Gharari et al. https://doi.org/10.5194/hess-18-4861-2014
46. A simple topography-driven and calibration-free runoff generation module H. Gao et al. https://doi.org/10.5194/hess-23-787-2019
47. On the use of spatially distributed, time-lapse microgravity surveys to inform hydrological modeling S. Piccolroaz et al. https://doi.org/10.1002/2015WR016994
48. Transit times—the link between hydrology and water quality at the catchment scale M. Hrachowitz et al. https://doi.org/10.1002/wat2.1155
49. Structural Universality of the Distributed Hydrological Model for Small- and Medium-Scale Basins with Different Topographies J. Huang et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001595
50. Recent ground thermo-hydrological changes in a southern Tibetan endorheic catchment and implications for lake level changes L. Martin et al. https://doi.org/10.5194/hess-27-4409-2023
51. Large-scale hydrological modelling by using modified PUB recommendations: the India-HYPE case I. Pechlivanidis & B. Arheimer https://doi.org/10.5194/hess-19-4559-2015
52. Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment M. Dal Molin et al. https://doi.org/10.5194/hess-24-1319-2020
53. Improving representation of hydrological process heterogeneity in grid-Xin’anjiang model through a stepwise approach Q. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.132897
54. Xin’anjiang Nested Experimental Watershed (XAJ-NEW) for Understanding Multiscale Water Cycle: Scientific Objectives and Experimental Design K. Zhang et al. https://doi.org/10.1016/j.eng.2021.08.026
55. Ecohydrologic model with satellite-based data for predicting streamflow in ungauged basins J. Choi et al. https://doi.org/10.1016/j.scitotenv.2023.166617
56. Diagnosing the impacts of landscape characteristics on hydrologic signatures in the Krycklan catchment in Sweden using a flexible hydrological model R. Guo et al. https://doi.org/10.1016/j.pce.2024.103565
57. From spatially variable streamflow to distributed hydrological models: Analysis of key modeling decisions F. Fenicia et al. https://doi.org/10.1002/2015WR017398
58. Analyzing runoff processes through conceptual hydrological modeling in the Upper Blue Nile Basin, Ethiopia M. Dessie et al. https://doi.org/10.5194/hess-18-5149-2014
59. Process‐based hydrological modelling: The potential of a bottom‐up approach for runoff predictions in ungauged catchments M. Antonetti et al. https://doi.org/10.1002/hyp.11232
60. Modeling boreal forest evapotranspiration and water balance at stand and catchment scales: a spatial approach S. Launiainen et al. https://doi.org/10.5194/hess-23-3457-2019
61. Mapping dominant runoff processes: an evaluation of different approaches using similarity measures and synthetic runoff simulations M. Antonetti et al. https://doi.org/10.5194/hess-20-2929-2016
62. Permafrost Hydrology of the Qinghai-Tibet Plateau: A Review of Processes and Modeling H. Gao et al. https://doi.org/10.3389/feart.2020.576838
63. Multi-decadal fluctuations in root zone storage capacity through vegetation adaptation to hydro-climatic variability have minor effects on the hydrological response in the Neckar River basin, Germany S. Wang et al. https://doi.org/10.5194/hess-28-4011-2024
64. HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark https://doi.org/10.5194/hess-21-3953-2017
65. HESS Opinions Catchments as meta-organisms – a new blueprint for hydrological modelling H. Savenije & M. Hrachowitz https://doi.org/10.5194/hess-21-1107-2017
66. Investigating the appropriate model structure for simulation of a karst catchment from the aspect of spatial complexity Y. Chang et al. https://doi.org/10.1007/s12665-018-8017-y
67. Spatial combination model for semi-humid and semi-arid watersheds L. Yuhuan et al. https://doi.org/10.18307/2020.0322
68. Modelling river flow in cold and ungauged regions: a review of the purposes, methods, and challenges C. Belvederesi et al. https://doi.org/10.1139/er-2021-0043
69. Attributing the effects of climate change and forest disturbance on runoff using distributed modeling and indicators of hydrological alteration in Central European montane basins J. Langhammer & J. Bernsteinová https://doi.org/10.1016/j.ejrh.2024.102101
70. Flood prediction in an ungauged watershed: A case study of the naengcheon watershed, Korea M. Jeong et al. https://doi.org/10.1016/j.kscej.2025.100229
71. Trade-offs between parameter constraints and model realism: a case study F. Jehn et al. https://doi.org/10.1038/s41598-019-46963-6
72. Dam-induced hydrological alterations in the upper Cauvery river basin, India A. Ekka et al. https://doi.org/10.1016/j.ejrh.2022.101231
73. The hydrological system as a living organism H. Savenije https://doi.org/10.5194/piahs-385-1-2024
74. Contrasting roles of interception and transpiration in the hydrological cycle – Part 1: Temporal characteristics over land L. Wang-Erlandsson et al. https://doi.org/10.5194/esd-5-441-2014
75. Improving snow process modeling with satellite‐based estimation of near‐surface‐air‐temperature lapse rate L. Wang et al. https://doi.org/10.1002/2016JD025506
76. How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps M. Antonetti & M. Zappa https://doi.org/10.5194/hess-22-4425-2018
77. Trigger characteristics of torrential flows from high to low alpine regions in Austria D. Prenner et al. https://doi.org/10.1016/j.scitotenv.2018.12.206
78. The eWaterCycle platform for open and FAIR hydrological collaboration R. Hut et al. https://doi.org/10.5194/gmd-15-5371-2022
79. Process consistency in models: The importance of system signatures, expert knowledge, and process complexity M. Hrachowitz et al. https://doi.org/10.1002/2014WR015484
80. Correlation between vegetation and environment at different levels in an arid, mountainous region of China N. Gao et al. https://doi.org/10.1002/ece3.3088
81. Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. https://doi.org/10.1029/2017WR021895
82. The benefits of spatial resolution increase in global simulations of the hydrological cycle evaluated for the Rhine and Mississippi basins I. Benedict et al. https://doi.org/10.5194/hess-23-1779-2019
83. Evaluation of a Land Surface–Glacier Coupled Model over the Three-River Headwaters Region in the Qinghai–Tibet Plateau S. Li & X. Yuan https://doi.org/10.3390/w18091030
84. Improved Process Representation in the Simulation of the Hydrology of a Meso-Scale Semi-Arid Catchment A. Saraiva Okello et al. https://doi.org/10.3390/w10111549
85. Surface water and groundwater: unifying conceptualization and quantification of the two “water worlds” B. Berkowitz & E. Zehe https://doi.org/10.5194/hess-24-1831-2020
86. Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration S. Gharari et al. https://doi.org/10.5194/hess-18-4839-2014
87. Signatures of human intervention – or not? Downstream intensification of hydrological drought along a large Central Asian river: the individual roles of climate variability and land use change A. Roodari et al. https://doi.org/10.5194/hess-25-1943-2021
88. Spatial Combination Modeling Framework of Saturation-Excess and Infiltration-Excess Runoff for Semihumid Watersheds P. Huang et al. https://doi.org/10.1155/2016/5173984
89. Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement P. Hulsman et al. https://doi.org/10.5194/hess-25-957-2021
90. The effect of forcing and landscape distribution on performance and consistency of model structures T. Euser et al. https://doi.org/10.1002/hyp.10445
91. The role of local perched aquifers in regional groundwater recharge in semi-arid environments: evidence from the Cuvelai-Etosha Basin, Namibia J. Hamutoko et al. https://doi.org/10.1007/s10040-019-02008-w
92. Seasonal patterns and hydrological regulations of root zone storage capacity across United States S. Du et al. https://doi.org/10.1016/j.agrformet.2025.110428
93. Root zone in the Earth system H. Gao et al. https://doi.org/10.5194/hess-28-4477-2024
94. Nonsequential Response in Mountainous Areas of Southwest China L. Liu et al. https://doi.org/10.3389/feart.2021.660244
95. Landscape heterogeneity and hydrological processes: a review of landscape-based hydrological models H. Gao et al. https://doi.org/10.1007/s10980-018-0690-4
96. Stepwise modeling and the importance of internal variables validation to test model realism in a data scarce glacier basin H. Gao et al. https://doi.org/10.1016/j.jhydrol.2020.125457
97. WAYS v1: a hydrological model for root zone water storage simulation on a global scale G. Mao & J. Liu https://doi.org/10.5194/gmd-12-5267-2019
98. How economically and environmentally viable are multiple dams in the upper Cauvery Basin, India? A hydro-economic analysis using a landscape-based hydrological model A. Ekka et al. https://doi.org/10.5194/hess-28-3219-2024
99. Recursive Bayesian Estimation of Conceptual Rainfall‐Runoff Model Errors in Real‐Time Prediction of Streamflow M. Tajiki et al. https://doi.org/10.1029/2019WR025237
100. Revealing the influence of topography and vegetation on hydrological processes using a stepwise modelling approach in cold alpine basins of the Mongolian Plateau L. Yong et al. https://doi.org/10.5194/hess-30-1585-2026
101. Rainfall-runoff modelling using river-stage time series in the absence of reliable discharge information: a case study in the semi-arid Mara River basin P. Hulsman et al. https://doi.org/10.5194/hess-22-5081-2018
102. Mapping groundwater in ungauged lake basin in Tanzania: A comparison between two topography based methods G. Okwir et al. https://doi.org/10.1016/j.gsd.2021.100697
103. Groundwater recharge estimation in relation to land use type and soil: the case of Hormat-Golina sub-basin, northern Ethiopia S. Bezabih Kidane & M. Melkam Taye https://doi.org/10.3389/frwa.2025.1542663
104. The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America R. Arsenault et al. https://doi.org/10.1016/j.envsoft.2023.105808