94 citations as recorded by crossref.

1. 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
2. Behind the scenes of streamflow model performance L. Bouaziz et al. 10.5194/hess-25-1069-2021
3. 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
4. A parameter allocation approach for flow simulation using the WetSpa‐Python model A. Bahremand et al. 10.1002/hyp.13992
5. HESS Opinions: Are soils overrated in hydrology? H. Gao et al. 10.5194/hess-27-2607-2023
6. The effect of forcing and landscape distribution on performance and consistency of model structures T. Euser et al. 10.1002/hyp.10445
7. 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
8. 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
9. Spatial Combination Modeling Framework of Saturation-Excess and Infiltration-Excess Runoff for Semihumid Watersheds P. Huang et al. 10.1155/2016/5173984
10. 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
11. A comprehensive intercomparison study between a lumped and a fully distributed hydrological model across a set of 50 catchments in the United Kingdom S. Sinha et al. 10.1002/hyp.14544
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14. Many Commonly Used Rainfall‐Runoff Models Lack Long, Slow Dynamics: Implications for Runoff Projections K. Fowler et al. 10.1029/2019WR025286
15. Flexible vector-based spatial configurations in land models S. Gharari et al. 10.5194/hess-24-5953-2020
16. Ecohydrologic separation alters interpreted hydrologic stores and fluxes in a headwater mountain catchment M. Cain et al. 10.1002/hyp.13518
17. Untangling global change impacts on hydrological processes: Resisting climatization M. Wine & J. Davison 10.1002/hyp.13483
18. Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement P. Hulsman et al. 10.5194/hess-25-957-2021
19. 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
20. HESS Opinions Catchments as meta-organisms – a new blueprint for hydrological modelling H. Savenije & M. Hrachowitz 10.5194/hess-21-1107-2017
21. A Bayesian alternative for multi-objective ecohydrological model specification Y. Tang et al. 10.1016/j.jhydrol.2017.07.040
22. 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
23. Transit times—the link between hydrology and water quality at the catchment scale M. Hrachowitz et al. 10.1002/wat2.1155
24. 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
25. Landscape heterogeneity and hydrological processes: a review of landscape-based hydrological models H. Gao et al. 10.1007/s10980-018-0690-4
26. 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
27. 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
28. 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
29. Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai–Tibet Plateau H. Gao et al. 10.5194/hess-26-4187-2022
30. A conceptual, distributed snow redistribution model S. Frey & H. Holzmann 10.5194/hess-19-4517-2015
31. How to Constrain Multi‐Objective Calibrations of the SWAT Model Using Water Balance Components M. Pfannerstill et al. 10.1111/1752-1688.12524
32. Automatic Model Structure Identification for Conceptual Hydrologic Models D. Spieler et al. 10.1029/2019WR027009
33. The importance of aspect for modelling the hydrological response in a glacier catchment in Central Asia H. Gao et al. 10.1002/hyp.11224
34. 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
35. HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation A. Bahremand 10.5194/hess-20-1433-2016
36. 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
37. Parameter allocation approach for runoff simulation in an arid catchment using the KINEROS2 hydrological model D. Ghonchepour et al. 10.1111/nrm.12364
38. 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
39. 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
40. Toward creating simpler hydrological models: A LASSO subset selection approach W. Bardsley et al. 10.1016/j.envsoft.2015.06.008
41. Nonsequential Response in Mountainous Areas of Southwest China L. Liu et al. 10.3389/feart.2021.660244
42. 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
43. 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
44. 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
45. Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al. 10.1029/2020WR027948
46. A constraint-based search algorithm for parameter identification of environmental models S. Gharari et al. 10.5194/hess-18-4861-2014
47. Finding behavioral parameterization for a 1-D water balance model by multi-criteria evaluation M. Casper et al. 10.2478/johh-2019-0005
48. 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
49. Incremental model breakdown to assess the multi-hypotheses problem F. Jehn et al. 10.5194/hess-22-4565-2018
50. 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
51. Global root zone storage capacity from satellite-based evaporation L. Wang-Erlandsson et al. 10.5194/hess-20-1459-2016
52. Influence of soil and climate on root zone storage capacity T. de Boer‐Euser et al. 10.1002/2015WR018115
53. A simple topography-driven and calibration-free runoff generation module H. Gao et al. 10.5194/hess-23-787-2019
54. Validation of 2D flood models with insurance claims A. Zischg et al. 10.1016/j.jhydrol.2017.12.042
55. Assessing the impact of resolution and soil datasets on flash-flood modelling A. Lovat et al. 10.5194/hess-23-1801-2019
56. A Regularization Approach to Improve the Sequential Calibration of a Semidistributed Hydrological Model A. de Lavenne et al. 10.1029/2018WR024266
57. Predicting the ungauged basin: model validation and realism assessment T. van Emmerik et al. 10.3389/feart.2015.00062
58. Hydrological modelling at multiple sub-daily time steps: Model improvement via flux-matching A. Ficchì et al. 10.1016/j.jhydrol.2019.05.084
59. Tools for investigating the prior distribution in Bayesian hydrology Y. Tang et al. 10.1016/j.jhydrol.2016.04.032
60. HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
61. Current Practice and Recommendations for Modelling Global Change Impacts on Water Resource in the Himalayas A. Momblanch et al. 10.3390/w11061303
62. 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
63. From spatially variable streamflow to distributed hydrological models: Analysis of key modeling decisions F. Fenicia et al. 10.1002/2015WR017398
64. A lumped model to simulate nitrate concentration evolution in groundwater at catchment scale N. Surdyk et al. 10.1016/j.jhydrol.2020.125696
65. Accounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region H. Gao et al. 10.1002/2016WR019574
66. Can climate variability information constrain a hydrological model for an ungauged Costa Rican catchment? B. Quesada‐Montano et al. 10.1002/hyp.11460
67. Trade-offs between parameter constraints and model realism: a case study F. Jehn et al. 10.1038/s41598-019-46963-6
68. 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
69. Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins M. Dal Molin et al. 10.1029/2022WR031929
70. 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
71. 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
72. 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
73. Hydrological hysteresis and its value for assessing process consistency in catchment conceptual models O. Fovet et al. 10.5194/hess-19-105-2015
74. Modeling the Hydrologic Influence of Subsurface Tile Drainage Using the National Water Model P. Valayamkunnath et al. 10.1029/2021WR031242
75. Dam-induced hydrological alterations in the upper Cauvery river basin, India A. Ekka et al. 10.1016/j.ejrh.2022.101231
76. Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects S. Piccolroaz et al. 10.1029/2023RG000816
77. Uncertainty in Irrigation Return Flow Estimation: Comparing Conceptual and Physically-Based Parameterization Approaches J. Song et al. 10.3390/w12041125
78. Improving the Representation of Long‐Term Storage Variations With Conceptual Hydrological Models in Data‐Scarce Regions P. Hulsman et al. 10.1029/2020WR028837
79. Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
80. 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
81. 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
82. High Resolution Maps of Climatological Parameters for Analyzing the Impacts of Climatic Changes on Swiss Forests A. Zischg et al. 10.3390/f10080617
83. Catchment Travel Times From Composite StorAge Selection Functions Representing the Superposition of Streamflow Generation Processes N. Rodriguez & J. Klaus 10.1029/2019WR024973
84. Spatiotemporal soil moisture response and controlling factors along a hillslope E. Lee & S. Kim 10.1016/j.jhydrol.2021.127382
85. Equifinality and Flux Mapping: A New Approach to Model Evaluation and Process Representation Under Uncertainty S. Khatami et al. 10.1029/2018WR023750
86. Optimization of a SWAT model by incorporating geological information through calibration strategies A. Sánchez-Gómez et al. 10.1007/s11081-022-09744-1
87. Using the Budyko Framework for Calibrating a Global Hydrological Model P. Greve et al. 10.1029/2019WR026280
88. 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
89. The Value of Using Multiple Hydrometeorological Variables to Predict Temporal Debris Flow Susceptibility in an Alpine Environment D. Prenner et al. 10.1029/2018WR022985
90. Modeling streamflow variability at the regional scale: (1) perceptual model development through signature analysis F. Fenicia & J. McDonnell 10.1016/j.jhydrol.2021.127287
91. 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
92. 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
93. Process consistency in models: The importance of system signatures, expert knowledge, and process complexity M. Hrachowitz et al. 10.1002/2014WR015484
94. Debates—the future of hydrological sciences: A (common) path forward? Using models and data to learn: A systems theoretic perspective on the future of hydrological science H. Gupta & G. Nearing 10.1002/2013WR015096