76 citations as recorded by crossref.

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4. Improvements of the spatially distributed hydrological modelling using the HBV model at 1 km resolution for Norway S. Huang et al. https://doi.org/10.1016/j.jhydrol.2019.03.051
5. Quantifying the impacts of anthropogenic changes and climate variability on runoff changes in central plateau of Iran using nine methods A. Sharifi et al. https://doi.org/10.1016/j.jhydrol.2021.127045
6. Evaluating the robustness of conceptual rainfall-runoff models under climate variability in northern Tunisia H. Dakhlaoui et al. https://doi.org/10.1016/j.jhydrol.2017.04.032
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8. Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers L. Santos et al. https://doi.org/10.5194/hess-29-683-2025
9. Uncertainty-aware reservoir operation projections using multi-model weighting and adaptive hedging rules Z. Ersoy et al. https://doi.org/10.1016/j.jhydrol.2026.135228
10. Streamflow Simulation in Semiarid Data-Scarce Regions: A Comparative Study of Distributed and Lumped Models at Aguenza Watershed (Morocco) A. Bouadila et al. https://doi.org/10.3390/w15081602
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14. The role of conceptual hydrologic model calibration in climate change impact on water resources assessment A. Todorovic & J. Plavsic https://doi.org/10.2166/wcc.2015.086
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16. Technical note: RAT – a robustness assessment test for calibrated and uncalibrated hydrological models P. Nicolle et al. https://doi.org/10.5194/hess-25-5013-2021
17. Uncertainty in the Number of Calibration Repetitions of a Hydrologic Model in Varying Climatic Conditions P. Sleziak et al. https://doi.org/10.3390/w12092362
18. Increasing Hydroperiod in a Karst-depression Wetland Based on 165 Years of Simulated Daily Water Levels J. Cartwright & W. Wolfe https://doi.org/10.1007/s13157-021-01474-x
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21. Can Model Parameterization Accounting for Hydrological Nonstationarity Improve Robustness in Future Runoff Projection? H. Zheng et al. https://doi.org/10.1175/JHM-D-21-0102.1
22. Why does a conceptual hydrological model fail to correctly predict discharge changes in response to climate change? D. Duethmann et al. https://doi.org/10.5194/hess-24-3493-2020
23. Optimal Hydrological Model Calibration Strategy for Climate Change Impact Studies S. Bérubé et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002148
24. Technical note: PMR – a proxy metric to assess hydrological model robustness in a changing climate P. Royer-Gaspard et al. https://doi.org/10.5194/hess-25-5703-2021
25. Improved Rainfall‐Runoff Calibration for Drying Climate: Choice of Objective Function K. Fowler et al. https://doi.org/10.1029/2017WR022466
26. Effectiveness of introducing crop coefficient and leaf area index to enhance evapotranspiration simulations in hydrologic models D. Birhanu et al. https://doi.org/10.1002/hyp.13464
27. Does a successful comprehensive evaluation increase confidence in a hydrological model intended for climate impact assessment? A. Gelfan et al. https://doi.org/10.1007/s10584-020-02930-z
28. Impacts of hydrological model calibration on projected hydrological changes under climate change—a multi-model assessment in three large river basins S. Huang et al. https://doi.org/10.1007/s10584-020-02872-6
29. Comparison of Hydrological Platforms in Assessing Rainfall-Runoff Behavior in a Mediterranean Watershed of Northern Morocco M. Aqnouy et al. https://doi.org/10.3390/w15030447
30. Integration of the generalized complementary relationship into a lumped hydrological model for improving water balance partitioning: A case study with the Xinanjiang model X. Lei et al. https://doi.org/10.1016/j.jhydrol.2023.129569
31. Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness? D. Birhanu et al. https://doi.org/10.3390/su10082837
32. The influence of regional hydrometric data incorporation on the accuracy of gridded reconstruction of monthly runoff G. Ayzel et al. https://doi.org/10.1080/02626667.2020.1762886
33. Potential of snow data to improve the consistency and robustness of a semi-distributed hydrological model using the SAFRAN input dataset D. Ruelland https://doi.org/10.1016/j.jhydrol.2024.130820
34. Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data B. Mohammadi et al. https://doi.org/10.1007/s13201-024-02102-9
35. Dependence of regionalization methods on the complexity of hydrological models in multiple climatic regions X. Yang et al. https://doi.org/10.1016/j.jhydrol.2019.124357
36. Assessing uncertainties in climate change impacts on runoff in Western Mediterranean basins D. Ruelland et al. https://doi.org/10.5194/piahs-371-75-2015
37. Climate elasticity of streamflow revisited – an elasticity index based on long-term hydrometeorological records V. Andréassian et al. https://doi.org/10.5194/hess-20-4503-2016
38. Assessing the Potential Robustness of Conceptual Rainfall‐Runoff Models Under a Changing Climate D. Guo et al. https://doi.org/10.1029/2018WR022636
39. Many Commonly Used Rainfall‐Runoff Models Lack Long, Slow Dynamics: Implications for Runoff Projections K. Fowler et al. https://doi.org/10.1029/2019WR025286
40. Budyko Framework Based Analysis of the Effect of Climate Change on Watershed Evaporation Efficiency and Its Impact on Discharge Over Europe J. Collignan et al. https://doi.org/10.1029/2023WR034509
41. On the Robustness of Conceptual Rainfall‐Runoff Models to Calibration and Evaluation Data Set Splits Selection: A Large Sample Investigation D. Guo et al. https://doi.org/10.1029/2019WR026752
42. A Whittaker Biome‐Based Framework to Account for the Impact of Climate Change on Catchment Behavior A. Deshmukh & R. Singh https://doi.org/10.1029/2018WR023113
43. Ecohydrological modelling in a deciduous boreal forest: Model evaluation for application in non‐stationary climates A. Marshall et al. https://doi.org/10.1002/hyp.14251
44. Improving the Applicability of Lumped Hydrological Models by Integrating the Generalized Complementary Relationship X. Lei et al. https://doi.org/10.1029/2023WR035567
45. Towards more realistic runoff projections by removing limits on simulated soil moisture deficit K. Fowler et al. https://doi.org/10.1016/j.jhydrol.2021.126505
46. Sensitivity of potential evaporation estimates to 100 years of climate variability R. Bartholomeus et al. https://doi.org/10.5194/hess-19-997-2015
47. Evaluating hydrological responses of satellite precipitation products over an Indian tropical catchment through a distributed physical model P. Kalura et al. https://doi.org/10.1002/hyp.15275
48. Changes in Blue/Green Water Partitioning Under Severe Drought C. Stephens et al. https://doi.org/10.1029/2022WR033449
49. Dynamics of hydrological-model parameters: mechanisms, problems and solutions T. Lan et al. https://doi.org/10.5194/hess-24-1347-2020
50. Daily streamflow prediction using lightGBM and random forest in the Fiumarella di Corleto basin, Southern Italy M. Yaseen et al. https://doi.org/10.1007/s40808-026-02816-6
51. Is ET often oversimplified in hydrologic models? Using long records to elucidate unaccounted for controls on ET C. Kelleher & S. Shaw https://doi.org/10.1016/j.jhydrol.2017.12.018
52. System entity structure extension to integrate abstraction hierarchies and time granularity into DEVS modeling and simulation J. Santucci et al. https://doi.org/10.1177/0037549716657168
53. Factors controlling alterations in the performance of a runoff model in changing climate conditions P. Sleziak et al. https://doi.org/10.2478/johh-2018-0031
54. Assessing the role of uncertain precipitation estimates on the robustness of hydrological model parameters under highly variable climate conditions B. Bisselink et al. https://doi.org/10.1016/j.ejrh.2016.09.003
55. Assess hydrological responses to a warming climate at the Lysina Critical Zone Observatory in Central Europe W. Zheng et al. https://doi.org/10.1002/hyp.14281
56. A bootstrap-based differential split-sample test to assess the transferability of conceptual rainfall-runoff models under past and future climate variability H. Dakhlaoui et al. https://doi.org/10.1016/j.jhydrol.2019.05.056
57. Assessment of three satellite precipitation products for hydrological studies in a data-scarce context: Ouarzazate basin, southern Morocco K. En-nagre et al. https://doi.org/10.1016/j.nhres.2025.02.008
58. Uncertainty Analyses in Hydrologic/Hydraulic Modeling: Challenges and Proposed Resolutions C. Pathak et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001231
59. Simulating runoff under changing climatic conditions: Revisiting an apparent deficiency of conceptual rainfall‐runoff models K. Fowler et al. https://doi.org/10.1002/2015WR018068
60. hydroMOPSO: A flexible and model-independent multi-objective optimisation R package for environmental and hydrological models R. Marinao et al. https://doi.org/10.1016/j.envsoft.2025.106851
61. Testing the robustness of the physically-based ECOMAG model with respect to changing conditions A. Gelfan et al. https://doi.org/10.1080/02626667.2014.935780
62. Hydrological impact of forest-fire from paired-catchment and rainfall–runoff modelling perspectives N. Folton et al. https://doi.org/10.1080/02626667.2015.1035274
63. Exploring the Potential of Multi-Hydrological Model Weighting Schemes to Reduce Uncertainty in Runoff Projections Z. Ersoy et al. https://doi.org/10.3390/w17202919
64. Implications of future climate change for event-based hydrologic models C. Stephens et al. https://doi.org/10.1016/j.advwatres.2018.07.004
65. Improving Parameter Transferability of GR4J Model under Changing Environments Considering Nonstationarity L. Zeng et al. https://doi.org/10.3390/w11102029
66. The robustness of conceptual rainfall-runoff modelling under climate variability – A review H. Ji et al. https://doi.org/10.1016/j.jhydrol.2023.129666
67. The effect of weighting hydrological projections based on the robustness of hydrological models under a changing climate E. Pastén-Zapata et al. https://doi.org/10.1016/j.ejrh.2022.101113
68. Assessing hydroclimatic impacts of climate change in snowy catchments using a physically based hydrological model F. Talbot et al. https://doi.org/10.1016/j.ejrh.2025.102453
69. The sensitivity of simulated streamflow to individual hydrologic processes across North America J. Mai et al. https://doi.org/10.1038/s41467-022-28010-7
70. Spatial Variation in Catchment Response to Climate Change Depends on Lateral Moisture Transport and Nutrient Dynamics C. Stephens et al. https://doi.org/10.1029/2021WR030577
71. The impact of calibration conditions on the transferability of conceptual hydrological models under stationary and nonstationary climatic conditions W. Yang et al. https://doi.org/10.1016/j.jhydrol.2022.128310
72. Simulating Runoff Under Changing Climatic Conditions: A Framework for Model Improvement K. Fowler et al. https://doi.org/10.1029/2018WR023989
73. Discrete-Event Simulation Model Generation based on Activity Metrics L. Capocchi et al. https://doi.org/10.1016/j.simpat.2020.102122
74. Comparing calibration strategies of a conceptual snow hydrology model and their impact on model performance and parameter identifiability S. Nemri & C. Kinnard https://doi.org/10.1016/j.jhydrol.2019.124474
75. Quantifying sensitivity of groundwater recharge to land use and land cover changes by improving model performance on the wetland dominated Tikur Wuha Watershed, Ethiopia T. Abraham et al. https://doi.org/10.1016/j.watcyc.2022.08.002
76. Regionalization of catchment hydrological model parameters for global water resources simulations W. Qi et al. https://doi.org/10.2166/nh.2022.118