89 citations as recorded by crossref.

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34. Improving the predictive skills of hydrological models using a combinatorial optimization algorithm and artificial neural networks J. Farfán & L. Cea 10.1007/s40808-022-01540-1
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39. An Efficient Method to Correct Under-Dispersion in Ensemble Streamflow Prediction of Inflow Volumes for Reservoir Optimization R. Arsenault et al. 10.1007/s11269-016-1425-4
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43. Ensemble forecasting system for the management of the Senegal River discharge: application upstream the Manantali dam D. Ndione et al. 10.1007/s13201-020-01199-y
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48. Potential skill of continental-scale, medium-range ensemble streamflow forecasts for flood prediction in South America V. Siqueira et al. 10.1016/j.jhydrol.2020.125430
49. Exploring hydrologic post-processing of ensemble streamflow forecasts based on affine kernel dressing and non-dominated sorting genetic algorithm II J. Xu et al. 10.5194/hess-26-1001-2022
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51. Strategies for hydrologic ensemble generation and calibration: On the merits of using model-based predictors A. Tiberi-Wadier et al. 10.1016/j.jhydrol.2021.126233
52. Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness? D. Birhanu et al. 10.3390/su10082837
53. Technical review of large-scale hydrological models for implementation in operational flood forecasting schemes on continental level A. Kauffeldt et al. 10.1016/j.envsoft.2015.09.009
54. What can be expected from a semi-distributed multi-model approach for streamflow forecasting? Tailoring the structure and size of a super-ensemble on the Rhône basin C. Thébault et al. 10.1016/j.jhydrol.2025.133589
55. Multi-parametric variational data assimilation for hydrological forecasting R. Alvarado-Montero et al. 10.1016/j.advwatres.2017.09.026
56. Ensemble rainfall–runoff modeling of physically based semi-distributed models using multi-source rainfall data fusion T. Gichamo et al. 10.2166/wcc.2023.084
57. Ensemble Bayesian forecasting system Part II: Experiments and properties H. Herr & R. Krzysztofowicz 10.1016/j.jhydrol.2019.02.057
58. Statistical processing of forecasts for hydrological ensemble prediction: a comparative study of different bias correction strategies I. Zalachori et al. 10.5194/asr-8-135-2012
59. Assessment of models predicting anthropogenic interventions and climate variability on surface runoff of the Lower Zab River R. Mohammed et al. 10.1007/s00477-016-1375-7
60. Improving global hydrological simulations through bias-correction and multi-model blending A. Chevuturi et al. 10.1016/j.jhydrol.2023.129607
61. Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model M. Demirel et al. 10.5194/hess-22-1299-2018
62. Dealing with uncertainty in ecosystem model scenarios: Application of the single-model ensemble approach G. Gal et al. 10.1016/j.envsoft.2014.05.015
63. A flood episode in northern Italy: multi-model and single-model mesoscale meteorological ensembles for hydrological predictions S. Davolio et al. 10.5194/hess-17-2107-2013
64. Quantifying multi-source uncertainties in multi-model predictions using the Bayesian model averaging scheme S. Jiang et al. 10.2166/nh.2017.272
65. Ensemble streamflow prediction considering the influence of reservoirs in Narmada River Basin, India U. Vegad & V. Mishra 10.5194/hess-26-6361-2022
66. Multi-parameter approaches for improved ensemble prediction accuracy in hydrology and water quality modeling S. Shin et al. 10.1016/j.jhydrol.2023.129458
67. Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan N. Mount et al. 10.1080/02626667.2016.1159683
68. Transferability of hydrological models and ensemble averaging methods between contrasting climatic periods C. Broderick et al. 10.1002/2016WR018850
69. Assimilation of water temperature and discharge data for ensemble water temperature forecasting S. Ouellet-Proulx et al. 10.1016/j.jhydrol.2017.09.027
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73. Streamflow prediction in ungauged basins: analysis of regionalization methods in a hydrologically heterogeneous region of Mexico R. Arsenault et al. 10.1080/02626667.2019.1639716
74. Simulating ecologically relevant hydrological indicators in a temporary river system A. De Girolamo et al. 10.1016/j.agwat.2016.05.034
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76. Identification of Hydrological Models for Enhanced Ensemble Reservoir Inflow Forecasting in a Large Complex Prairie Watershed F. Awol et al. 10.3390/w11112201
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78. Estimating storm runoff extreme in small ungauged catchments using an integrated modeling approach Z. Zhao et al. 10.1016/j.horiz.2024.100092
79. Inter-comparison between retrospective ensemble streamflow forecasts using meteorological inputs from ECMWF and NOAA/ESRL in the Hudson River sub-basins during Hurricane Irene (2011) F. Saleh et al. 10.2166/nh.2018.182
80. UAV-based emergency treatment plan for flood disasters at the Hongyanhe nuclear power plant Y. Ma et al. 10.1016/j.ecolind.2023.110676
81. Evaluation of the Impact of Multi-Source Uncertainties on Meteorological and Hydrological Ensemble Forecasting Z. Shu et al. 10.1016/j.eng.2022.06.007
82. Operational forecast uncertainty assessment for better information to stakeholders and crisis managers L. Berthet et al. 10.1051/e3sconf/20160718005
83. Simplifying a hydrological ensemble prediction system with a backward greedy selection of members – Part 2: Generalization in time and space D. Brochero et al. 10.5194/hess-15-3327-2011
84. MOHYSE – a simple lumped hydrological model for educational and research purposes J. Martel et al. 10.1080/07011784.2025.2536023
85. Uncertainty of Hydrological Model Components in Climate Change Studies over Two Nordic Quebec Catchments M. Troin et al. 10.1175/JHM-D-17-0002.1
86. Multi‐temporal Hydrological Residual Error Modeling for Seamless Subseasonal Streamflow Forecasting D. McInerney et al. 10.1029/2019WR026979
87. Impact of the quality of hydrological forecasts on the management and revenue of hydroelectric reservoirs – a conceptual approach M. Cassagnole et al. 10.5194/hess-25-1033-2021
88. Regional regression models for hydro‐climate change impact assessment R. Gyawali et al. 10.1002/hyp.10312
89. AI-driven morphoclimatic regional frequency modelling of sub-daily rainfall-extremes A. Magnini et al. 10.1016/j.jhydrol.2024.130808