100 citations as recorded by crossref.

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2. The way forward: Can connectivity be useful to design better measuring and modelling schemes for water and sediment dynamics? S. Keesstra et al. 10.1016/j.scitotenv.2018.06.342
3. A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments W. Knoben et al. 10.1029/2019WR025975
4. Performance improvements to modern hydrological models via lookup table optimizations C. Marsh et al. 10.1016/j.envsoft.2021.105018
5. Room for the River: delivering integrated river basin management in the Netherlands J. Rijke et al. 10.1080/15715124.2012.739173
6. Preface "Observing and modeling the catchment scale water cycle" X. Li et al. 10.5194/hess-15-597-2011
7. Elements of a flexible approach for conceptual hydrological modeling: 2. Application and experimental insights D. Kavetski & F. Fenicia 10.1029/2011WR010748
8. Development of the snow- and ice-accounting routine (SIAR) D. Ruelland 10.1016/j.jhydrol.2023.129867
9. Streamflow and Sediment Yield Prediction for Watershed Prioritization in the Upper Blue Nile River Basin, Ethiopia G. Ayele et al. 10.3390/w9100782
10. The Politics Behind Overinterpreted and Underexplored Models: A Review of Andrea Saltelli and Monica Di Fiore (eds.), The Politics of Modelling - Numbers between Science and Policy L. Melsen 10.1007/s11024-024-09524-4
11. HESS Opinions "More efforts and scientific rigour are needed to attribute trends in flood time series" B. Merz et al. 10.5194/hess-16-1379-2012
12. Quantifying the Uncertainty Created by Non‐Transferable Model Calibrations Across Climate and Land Cover Scenarios: A Case Study With SWMM A. Sytsma et al. 10.1029/2021WR031603
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14. A Parsimonious Hydrological Model for a Data Scarce Dryland Region S. Pande et al. 10.1007/s11269-011-9816-z
15. Radon tracing of groundwater discharge into an Australian estuary surrounded by coastal acid sulphate soils I. Santos & B. Eyre 10.1016/j.jhydrol.2010.11.013
16. Production of competing water knowledge in the face of water crises: Revisiting the IWRM success story of the Lerma-Chapala Basin, Mexico J. Godinez-Madrigal et al. 10.1016/j.geoforum.2019.02.002
17. Spatially Distributed Conceptual Hydrological Model Building: A Generic Top‐Down Approach Starting From Lumped Models Q. Tran et al. 10.1029/2018WR023566
18. 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
19. Is there a superior conceptual groundwater model structure for baseflow simulation? M. Stoelzle et al. 10.1002/hyp.10251
20. A blueprint for process‐based modeling of uncertain hydrological systems A. Montanari & D. Koutsoyiannis 10.1029/2011WR011412
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22. Climatic and anthropogenic drivers of a drying Himalayan river G. Penny et al. 10.5194/hess-26-375-2022
23. Is Catchment Classification Possible by Means of Multiple Model Structures? A Case Study Based on 99 Catchments in Germany R. Ley et al. 10.3390/hydrology3020022
24. Watershed System Model: The Essentials to Model Complex Human‐Nature System at the River Basin Scale X. Li et al. 10.1002/2017JD028154
25. Connecting Hydrometeorological Processes to Low‐Probability Floods in the Mountainous Colorado Front Range G. Yu et al. 10.1029/2021WR029768
26. A methodological framework for the hydrological model selection process in water resource management projects D. Ghonchepour et al. 10.1111/nrm.12326
27. Calibration analysis for water storage variability of the global hydrological model WGHM S. Werth & A. Güntner 10.5194/hess-14-59-2010
28. Characterizing floods in the poorly gauged wetlands of the Tana River Delta, Kenya, using a water balance model and satellite data C. Leauthaud et al. 10.5194/hess-17-3059-2013
29. 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
30. The Modeling Toolkit: how recruitment strategies for modeling positions influence model progress L. Melsen 10.3389/frwa.2023.1149590
31. Pursuing the method of multiple working hypotheses for hydrological modeling M. Clark et al. 10.1029/2010WR009827
32. Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al. 10.1029/2020WR027948
33. Distributed rainfall‐runoff modelling for flood frequency estimation and flood forecasting L. Brocca et al. 10.1002/hyp.8042
34. Spatial variability of hydrological processes and model structure diagnostics in a 50 km2catchment H. McMillan et al. 10.1002/hyp.9988
35. 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
36. Testing the realism of a topography-driven model (FLEX-Topo) in the nested catchments of the Upper Heihe, China H. Gao et al. 10.5194/hess-18-1895-2014
37. HESS Opinions On the use of laboratory experimentation: "Hydrologists, bring out shovels and garden hoses and hit the dirt" M. Kleinhans et al. 10.5194/hess-14-369-2010
38. Ecohydrological feedback as a land restoration tool in the semi-arid Brigalow Belt, QLD, Australia S. Arnold et al. 10.1016/j.agee.2012.05.020
39. Challenges of Operational River Forecasting T. Pagano et al. 10.1175/JHM-D-13-0188.1
40. Incorporating institutions and collective action into a sociohydrological model of flood resilience D. Yu et al. 10.1002/2016WR019746
41. Conceptual model building inspired by field-mapped runoff generation mechanisms A. Viglione et al. 10.2478/johh-2018-0010
42. It Takes a Village to Run a Model—The Social Practices of Hydrological Modeling L. Melsen 10.1029/2021WR030600
43. Earthworms and tree roots: A model study of the effect of preferential flow paths on runoff generation and groundwater recharge in steep, saprolitic, tropical lowland catchments Y. Cheng et al. 10.1002/2016WR020258
44. Elements of a flexible approach for conceptual hydrological modeling: 1. Motivation and theoretical development F. Fenicia et al. 10.1029/2010WR010174
45. What can flux tracking teach us about water age distribution patterns and their temporal dynamics? M. Hrachowitz et al. 10.5194/hess-17-533-2013
46. A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. 10.1080/02626667.2013.803183
47. HESS Opinions Catchments as meta-organisms – a new blueprint for hydrological modelling H. Savenije & M. Hrachowitz 10.5194/hess-21-1107-2017
48. Time to Update the Split‐Sample Approach in Hydrological Model Calibration H. Shen et al. 10.1029/2021WR031523
49. A channel transmission losses model for different dryland rivers A. Costa et al. 10.5194/hess-16-1111-2012
50. Hydrological responses to land use/land cover change and climate variability in contrasting agro-ecological environments of the Upper Blue Nile basin, Ethiopia M. Berihun et al. 10.1016/j.scitotenv.2019.06.338
51. Model diagnostic analysis of seasonal switching of runoff generation mechanisms in the Blue River basin, Oklahoma F. Tian et al. 10.1016/j.jhydrol.2010.03.011
52. Reducing structural uncertainty in conceptual hydrological modelling in the semi-arid Andes P. Hublart et al. 10.5194/hess-19-2295-2015
53. The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview C. Marsh et al. 10.5194/gmd-13-225-2020
54. A framework to assess the realism of model structures using hydrological signatures T. Euser et al. 10.5194/hess-17-1893-2013
55. Predicting the ungauged basin: model validation and realism assessment T. van Emmerik et al. 10.3389/feart.2015.00062
56. The physics and the biology of the water balance: A personal journey through the critical zone into the water balance A. Hunt 10.1002/hyp.15209
57. Design and experimentation of an empirical multistructure framework for accurate, sharp and reliable hydrological ensembles G. Seiller et al. 10.1016/j.jhydrol.2017.07.002
58. A decadal review of the CREST model family: Developments, applications, and outlook Z. Li et al. 10.1016/j.hydroa.2023.100159
59. Snow Multidata Mapping and Modeling (S3M) 5.1: a distributed cryospheric model with dry and wet snow, data assimilation, glacier mass balance, and debris-driven melt F. Avanzi et al. 10.5194/gmd-15-4853-2022
60. A downward structural sensitivity analysis of hydrological models to improve low-flow simulation R. Pushpalatha et al. 10.1016/j.jhydrol.2011.09.034
61. Parsimonious rainfall-runoff model construction supported by time series processing and validation of hydrological extremes – Part 2: Intercomparison of models and calibration approaches P. Willems et al. 10.1016/j.jhydrol.2014.01.028
62. Parsimonious rainfall–runoff model construction supported by time series processing and validation of hydrological extremes – Part 1: Step-wise model-structure identification and calibration approach P. Willems 10.1016/j.jhydrol.2014.01.017
63. Landscape heterogeneity and hydrological processes: a review of landscape-based hydrological models H. Gao et al. 10.1007/s10980-018-0690-4
64. Integrated sensitivity analysis of a macroscale hydrologic model in the north of the Iberian Peninsula P. Yeste et al. 10.1016/j.jhydrol.2020.125230
65. Do time‐variable tracers aid the evaluation of hydrological model structure? A multimodel approach H. McMillan et al. 10.1029/2011WR011688
66. Development of an Event-Based Water Quality Model for Sparsely Gauged Catchments H. Nguyen et al. 10.3390/su11061773
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. HESS Opinions: Repeatable research: what hydrologists can learn from the Duke cancer research scandal M. Fienen & M. Bakker 10.5194/hess-20-3739-2016
69. A multi-objective assessment of alternate conceptual ecohydrological models B. Naseem et al. 10.1016/j.jhydrol.2015.08.060
70. Holistic versus monomeric strategies for hydrological modelling of human-modified hydrosystems I. Nalbantis et al. 10.5194/hess-15-743-2011
71. Gridded climate data products are an alternative to instrumental measurements as inputs to rainfall–runoff models J. Ledesma & M. Futter 10.1002/hyp.11269
72. Geospatial and Visual Modeling for Exploring Sediment Source Areas Across the Sele River Landscape, Italy N. Diodato et al. 10.4081/ija.2011.e14
73. Using Natural Experiments and Counterfactuals for Causal Assessment: River Salinity and the Ganges Water Agreement G. Penny et al. 10.1029/2019WR026166
74. Source Relationships and Model Structures Determine Information Flow Paths in Ecohydrologic Models A. Goodwell & M. Bassiouni 10.1029/2021WR031164
75. CREST-VEC: a framework towards more accurate and realistic flood simulation across scales Z. Li et al. 10.5194/gmd-15-6181-2022
76. Threshold behaviour in hydrological systems as (human) geo-ecosystems: manifestations, controls, implications E. Zehe & M. Sivapalan 10.5194/hess-13-1273-2009
77. An approach to identify time consistent model parameters: sub-period calibration S. Gharari et al. 10.5194/hess-17-149-2013
78. Large-sample hydrology: a need to balance depth with breadth H. Gupta et al. 10.5194/hess-18-463-2014
79. Modeling the impacts of oil palm plantations on water quantity and quality in the Kais River Watershed of Indonesia B. Asmara & T. Randhir 10.1016/j.scitotenv.2024.172456
80. Knowledge gaps in our perceptual model of Great Britain's hydrology T. Wagener et al. 10.1002/hyp.14288
81. HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation A. Bahremand 10.5194/hess-20-1433-2016
82. Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
83. Comparing observations and process‐based simulations of biosphere‐atmosphere exchanges on multiple timescales M. Mahecha et al. 10.1029/2009JG001016
84. Hydrological field data from a modeller's perspective: Part 1. Diagnostic tests for model structure H. McMillan et al. 10.1002/hyp.7841
85. 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
86. HESS Opinions "Crash tests for a standardized evaluation of hydrological models" V. Andréassian et al. 10.5194/hess-13-1757-2009
87. HESS Opinions "Topography driven conceptual modelling (FLEX-Topo)" H. Savenije 10.5194/hess-14-2681-2010
88. Modelling snow melt and snowcover depletion in a small alpine cirque, Canadian Rocky Mountains C. DeBeer & J. Pomeroy 10.1002/hyp.7346
89. Investigating the behaviour of a small Mediterranean catchment using three different hydrological models as hypotheses G. Ruiz‐Pérez et al. 10.1002/hyp.10738
90. Advancing tracer‐aided rainfall–runoff modelling: a review of progress, problems and unrealised potential C. Birkel & C. Soulsby 10.1002/hyp.10594
91. Improving hydrologic models for predictions and process understanding using neural ODEs M. Höge et al. 10.5194/hess-26-5085-2022
92. An alternative approach for socio-hydrology: case study research E. Mostert 10.5194/hess-22-317-2018
93. An open software environment for hydrological model assessment and development F. Andrews et al. 10.1016/j.envsoft.2011.04.006
94. Catchment properties, function, and conceptual model representation: is there a correspondence? F. Fenicia et al. 10.1002/hyp.9726
95. Confronting scale in watershed development in India G. Syme et al. 10.1007/s10040-011-0824-0
96. An introduction to the hydrological modelling system PREVAH and its pre- and post-processing-tools D. Viviroli et al. 10.1016/j.envsoft.2009.04.001
97. Distributed temperature-index snowmelt modelling for forested catchments G. Jost et al. 10.1016/j.jhydrol.2011.11.045
98. Permafrost Hydrology of the Qinghai-Tibet Plateau: A Review of Processes and Modeling H. Gao et al. 10.3389/feart.2020.576838
99. Models as multiple working hypotheses: hydrological simulation of tropical alpine wetlands W. Buytaert & K. Beven 10.1002/hyp.7936
100. Parsimonious modeling of hydrologic responses in engineered watersheds: Structural heterogeneity versus functional homogeneity N. Basu et al. 10.1029/2009WR007803