104 citations as recorded by crossref.

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4. 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. 10.5194/hess-22-5081-2018
5. Impact of the unpredictable changes in agricultural groundwater use on long-term sustainable exploitation: the case study of Bouhefna-Haffouz aquifer system, central Tunisia H. Jerbi et al. 10.1007/s10040-023-02661-2
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9. Participatory modelling of upward shifts of altitudinal vegetation belts for assessing site type transformation in Swiss forests due to climate change A. Zischg et al. 10.1111/avsc.12621
10. Many Commonly Used Rainfall‐Runoff Models Lack Long, Slow Dynamics: Implications for Runoff Projections K. Fowler et al. 10.1029/2019WR025286
11. Flexible vector-based spatial configurations in land models S. Gharari et al. 10.5194/hess-24-5953-2020
12. Ecohydrologic separation alters interpreted hydrologic stores and fluxes in a headwater mountain catchment M. Cain et al. 10.1002/hyp.13518
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14. A Bayesian alternative for multi-objective ecohydrological model specification Y. Tang et al. 10.1016/j.jhydrol.2017.07.040
15. Stepwise modeling and the importance of internal variables validation to test model realism in a data scarce glacier basin H. Gao et al. 10.1016/j.jhydrol.2020.125457
16. Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem M. Dumont et al. 10.5802/crgeos.192
17. Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region P. Hulsman et al. 10.5194/hess-24-3331-2020
18. Root zone in the Earth system H. Gao et al. 10.5194/hess-28-4477-2024
19. The importance of aspect for modelling the hydrological response in a glacier catchment in Central Asia H. Gao et al. 10.1002/hyp.11224
20. Valuing scarce observation of rainfall variability with flexible semi-distributed hydrological modelling – Mountainous Mediterranean context J. Aouissi et al. 10.1016/j.scitotenv.2018.06.086
21. HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation A. Bahremand 10.5194/hess-20-1433-2016
22. Parameter allocation approach for runoff simulation in an arid catchment using the KINEROS2 hydrological model D. Ghonchepour et al. 10.1111/nrm.12364
23. 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. 10.5194/hess-28-3219-2024
24. Debates: Does Information Theory Provide a New Paradigm for Earth Science? Sharper Predictions Using Occam's Digital Razor S. Weijs & B. Ruddell 10.1029/2019WR026471
25. Application and comparison of coaxial correlation diagram and hydrological model for reconstructing flood series under human disturbance P. Huang et al. 10.1007/s11629-015-3474-1
26. Improving representation of hydrological process heterogeneity in grid-Xin’anjiang model through a stepwise approach Q. Zhang et al. 10.1016/j.jhydrol.2025.132897
27. A unified runoff generation scheme for applicability across different hydrometeorological zones Q. Zhang et al. 10.1016/j.envsoft.2024.106138
28. Finding behavioral parameterization for a 1-D water balance model by multi-criteria evaluation M. Casper et al. 10.2478/johh-2019-0005
29. Mapping dominant runoff processes: an evaluation of different approaches using similarity measures and synthetic runoff simulations M. Antonetti et al. 10.5194/hess-20-2929-2016
30. Incremental model breakdown to assess the multi-hypotheses problem F. Jehn et al. 10.5194/hess-22-4565-2018
31. Influence of soil and climate on root zone storage capacity T. de Boer‐Euser et al. 10.1002/2015WR018115
32. A simple topography-driven and calibration-free runoff generation module H. Gao et al. 10.5194/hess-23-787-2019
33. Validation of 2D flood models with insurance claims A. Zischg et al. 10.1016/j.jhydrol.2017.12.042
34. A Regularization Approach to Improve the Sequential Calibration of a Semidistributed Hydrological Model A. de Lavenne et al. 10.1029/2018WR024266
35. Advancing SWAT Model Calibration: A U-NSGA-III-Based Framework for Multi-Objective Optimization H. Mao et al. 10.3390/w16213030
36. The importance of topography-controlled sub-grid process heterogeneity and semi-quantitative prior constraints in distributed hydrological models R. Nijzink et al. 10.5194/hess-20-1151-2016
37. A lumped model to simulate nitrate concentration evolution in groundwater at catchment scale N. Surdyk et al. 10.1016/j.jhydrol.2020.125696
38. Accounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region H. Gao et al. 10.1002/2016WR019574
39. Can climate variability information constrain a hydrological model for an ungauged Costa Rican catchment? B. Quesada‐Montano et al. 10.1002/hyp.11460
40. Trade-offs between parameter constraints and model realism: a case study F. Jehn et al. 10.1038/s41598-019-46963-6
41. Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins M. Dal Molin et al. 10.1029/2022WR031929
42. Looking beyond general metrics for model comparison – lessons from an international model intercomparison study T. de Boer-Euser et al. 10.5194/hess-21-423-2017
43. 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 10.5194/hess-22-4425-2018
44. Modeling the Hydrologic Influence of Subsurface Tile Drainage Using the National Water Model P. Valayamkunnath et al. 10.1029/2021WR031242
45. Dam-induced hydrological alterations in the upper Cauvery river basin, India A. Ekka et al. 10.1016/j.ejrh.2022.101231
46. Uncertainty in Irrigation Return Flow Estimation: Comparing Conceptual and Physically-Based Parameterization Approaches J. Song et al. 10.3390/w12041125
47. 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. 10.5194/hess-27-3083-2023
48. Investigating the role of geology in the hydrological response of Mediterranean catchments prone to flash-floods: Regional modelling study and process understanding O. Vannier et al. 10.1016/j.jhydrol.2016.04.001
49. High Resolution Maps of Climatological Parameters for Analyzing the Impacts of Climatic Changes on Swiss Forests A. Zischg et al. 10.3390/f10080617
50. Spatiotemporal soil moisture response and controlling factors along a hillslope E. Lee & S. Kim 10.1016/j.jhydrol.2021.127382
51. Equifinality and Flux Mapping: A New Approach to Model Evaluation and Process Representation Under Uncertainty S. Khatami et al. 10.1029/2018WR023750
52. Optimization of a SWAT model by incorporating geological information through calibration strategies A. Sánchez-Gómez et al. 10.1007/s11081-022-09744-1
53. Using the Budyko Framework for Calibrating a Global Hydrological Model P. Greve et al. 10.1029/2019WR026280
54. The temporally varying roles of rainfall, snowmelt and soil moisture for debris flow initiation in a snow-dominated system K. Mostbauer et al. 10.5194/hess-22-3493-2018
55. Understanding the impacts of catchment characteristics on the shape of the storage capacity curve and its influence on flood flows H. Gao et al. 10.2166/nh.2017.245
56. Estimating Reservoir Inflow and Outflow From Water Level Observations Using Expert Knowledge: Dealing With an Ill‐Posed Water Balance Equation in Reservoir Management J. Song et al. 10.1029/2020WR028183
57. HESS Opinions: Are soils overrated in hydrology? H. Gao et al. 10.5194/hess-27-2607-2023
58. Introductory overview of identifiability analysis: A guide to evaluating whether you have the right type of data for your modeling purpose J. Guillaume et al. 10.1016/j.envsoft.2019.07.007
59. Untangling global change impacts on hydrological processes: Resisting climatization M. Wine & J. Davison 10.1002/hyp.13483
60. Seasonal patterns and hydrological regulations of root zone storage capacity across United States S. Du et al. 10.1016/j.agrformet.2025.110428
61. Simulated or measured soil moisture: which one is adding more value to regional landslide early warning? A. Wicki et al. 10.5194/hess-25-4585-2021
62. HESS Opinions Catchments as meta-organisms – a new blueprint for hydrological modelling H. Savenije & M. Hrachowitz 10.5194/hess-21-1107-2017
63. Transit times—the link between hydrology and water quality at the catchment scale M. Hrachowitz et al. 10.1002/wat2.1155
64. Structural Universality of the Distributed Hydrological Model for Small- and Medium-Scale Basins with Different Topographies J. Huang et al. 10.1061/(ASCE)HE.1943-5584.0001595
65. Landscape heterogeneity and hydrological processes: a review of landscape-based hydrological models H. Gao et al. 10.1007/s10980-018-0690-4
66. Future changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in Austria S. Hanus et al. 10.5194/hess-25-3429-2021
67. Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai–Tibet Plateau H. Gao et al. 10.5194/hess-26-4187-2022
68. A conceptual, distributed snow redistribution model S. Frey & H. Holzmann 10.5194/hess-19-4517-2015
69. How to Constrain Multi‐Objective Calibrations of the SWAT Model Using Water Balance Components M. Pfannerstill et al. 10.1111/1752-1688.12524
70. Automatic Model Structure Identification for Conceptual Hydrologic Models D. Spieler et al. 10.1029/2019WR027009
71. Characterization of soil moisture response patterns and hillslope hydrological processes through a self-organizing map E. Lee & S. Kim 10.5194/hess-25-5733-2021
72. Process‐based hydrological modelling: The potential of a bottom‐up approach for runoff predictions in ungauged catchments M. Antonetti et al. 10.1002/hyp.11232
73. Upscaling of Denitrification Rates from Point to Catchment Scales for Modeling of Nitrate Transport and Retention H. Kim et al. 10.1021/acs.est.1c04593
74. Toward creating simpler hydrological models: A LASSO subset selection approach W. Bardsley et al. 10.1016/j.envsoft.2015.06.008
75. Nonsequential Response in Mountainous Areas of Southwest China L. Liu et al. 10.3389/feart.2021.660244
76. Modeling streamflow variability at the regional scale: (2) Development of a bespoke distributed conceptual model F. Fenicia et al. 10.1016/j.jhydrol.2021.127286
77. A review of integrated surface-subsurface numerical hydrological models L. Shu et al. 10.1007/s11430-022-1312-7
78. Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al. 10.1029/2020WR027948
79. A constraint-based search algorithm for parameter identification of environmental models S. Gharari et al. 10.5194/hess-18-4861-2014
80. A short history of philosophies of hydrological model evaluation and hypothesis testing K. Beven 10.1002/wat2.1761
81. Using satellite-based evapotranspiration estimates to improve the structure of a simple conceptual rainfall–runoff model T. Roy et al. 10.5194/hess-21-879-2017
82. Global root zone storage capacity from satellite-based evaporation L. Wang-Erlandsson et al. 10.5194/hess-20-1459-2016
83. Assessing the impact of resolution and soil datasets on flash-flood modelling A. Lovat et al. 10.5194/hess-23-1801-2019
84. Predicting the ungauged basin: model validation and realism assessment T. van Emmerik et al. 10.3389/feart.2015.00062
85. Hydrological modelling at multiple sub-daily time steps: Model improvement via flux-matching A. Ficchì et al. 10.1016/j.jhydrol.2019.05.084
86. Tools for investigating the prior distribution in Bayesian hydrology Y. Tang et al. 10.1016/j.jhydrol.2016.04.032
87. HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
88. Current Practice and Recommendations for Modelling Global Change Impacts on Water Resource in the Himalayas A. Momblanch et al. 10.3390/w11061303
89. From spatially variable streamflow to distributed hydrological models: Analysis of key modeling decisions F. Fenicia et al. 10.1002/2015WR017398
90. Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding C. Kelleher et al. 10.5194/hess-21-3325-2017
91. 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. 10.5194/hess-28-4011-2024
92. The influence of Low Impact Development (LID) on basin runoff in a half-urbanized catchment: A case study in San Antonio, Texas X. Sui & F. van de Ven 10.1016/j.jhydrol.2022.128793
93. Improving the hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations J. Salmon-Monviola et al. 10.5194/hess-29-127-2025
94. Hydrological hysteresis and its value for assessing process consistency in catchment conceptual models O. Fovet et al. 10.5194/hess-19-105-2015
95. Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects S. Piccolroaz et al. 10.1029/2023RG000816
96. Improving the Representation of Long‐Term Storage Variations With Conceptual Hydrological Models in Data‐Scarce Regions P. Hulsman et al. 10.1029/2020WR028837
97. Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
98. Catchment Travel Times From Composite StorAge Selection Functions Representing the Superposition of Streamflow Generation Processes N. Rodriguez & J. Klaus 10.1029/2019WR024973
99. The Value of Using Multiple Hydrometeorological Variables to Predict Temporal Debris Flow Susceptibility in an Alpine Environment D. Prenner et al. 10.1029/2018WR022985
100. Modeling streamflow variability at the regional scale: (1) perceptual model development through signature analysis F. Fenicia & J. McDonnell 10.1016/j.jhydrol.2021.127287
101. A step towards considering the spatial heterogeneity of urban key features in urban hydrology flood modelling J. Leandro et al. 10.1016/j.jhydrol.2016.01.060
102. Modelling rainfall–runoff processes of the Chemoga and Jedeb meso-scale catchments in the Abay/Upper Blue Nile basin, Ethiopia S. Tekleab et al. 10.1080/02626667.2015.1032292
103. Process consistency in models: The importance of system signatures, expert knowledge, and process complexity M. Hrachowitz et al. 10.1002/2014WR015484
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