82 citations as recorded by crossref.

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29. Performance and Reliability of Probabilistic Scenarios of Interpolated Rainfall Based on Geostatistics H. Razafimahefa & F. Anctil 10.1061/(ASCE)HE.1943-5584.0000913
30. 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
31. Impact of climate change on the vulnerability of drinking water intakes in a northern region B. Leveque et al. 10.1016/j.scs.2020.102656
32. A semi‐empirical wind set‐up forecasting model for Lake Champlain G. Loiselle et al. 10.1002/hyp.14240
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38. 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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40. Building a Multimodel Flood Prediction System with the TIGGE Archive E. Zsótér et al. 10.1175/JHM-D-15-0130.1
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47. Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness? D. Birhanu et al. 10.3390/su10082837
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51. Ensemble Bayesian forecasting system Part II: Experiments and properties H. Herr & R. Krzysztofowicz 10.1016/j.jhydrol.2019.02.057
52. 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
53. 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
54. Improving global hydrological simulations through bias-correction and multi-model blending A. Chevuturi et al. 10.1016/j.jhydrol.2023.129607
55. 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
56. 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
57. 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
58. Quantifying multi-source uncertainties in multi-model predictions using the Bayesian model averaging scheme S. Jiang et al. 10.2166/nh.2017.272
59. Ensemble streamflow prediction considering the influence of reservoirs in Narmada River Basin, India U. Vegad & V. Mishra 10.5194/hess-26-6361-2022
60. Multi-parameter approaches for improved ensemble prediction accuracy in hydrology and water quality modeling S. Shin et al. 10.1016/j.jhydrol.2023.129458
61. 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
62. Transferability of hydrological models and ensemble averaging methods between contrasting climatic periods C. Broderick et al. 10.1002/2016WR018850
63. Assimilation of water temperature and discharge data for ensemble water temperature forecasting S. Ouellet-Proulx et al. 10.1016/j.jhydrol.2017.09.027
64. Selecting components in a probabilistic hydrological forecasting chain: the benefits of an integrated evaluation J. Bellier et al. 10.1080/27678490.2021.1936825
65. Enhancing Low-Flow Forecasts: A Multi-Model Approach for Rainfall–Runoff Models C. Andraos 10.3390/hydrology11030035
66. Enhancing streamflow forecasting for the Brazilian electricity sector: a strategy based on a hyper-multimodel F. Souza Filho et al. 10.1590/2318-0331.282320230120
67. 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
68. Simulating ecologically relevant hydrological indicators in a temporary river system A. De Girolamo et al. 10.1016/j.agwat.2016.05.034
69. Advancing Medium-Range Streamflow Forecasting for Large Hydropower Reservoirs in Brazil by Means of Continental-Scale Hydrological Modeling A. Kolling Neto et al. 10.3390/w15091693
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73. 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
74. UAV-based emergency treatment plan for flood disasters at the Hongyanhe nuclear power plant Y. Ma et al. 10.1016/j.ecolind.2023.110676
75. 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
76. Operational forecast uncertainty assessment for better information to stakeholders and crisis managers L. Berthet et al. 10.1051/e3sconf/20160718005
77. 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
78. 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
79. Multi‐temporal Hydrological Residual Error Modeling for Seamless Subseasonal Streamflow Forecasting D. McInerney et al. 10.1029/2019WR026979
80. 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
81. Regional regression models for hydro‐climate change impact assessment R. Gyawali et al. 10.1002/hyp.10312
82. AI-driven morphoclimatic regional frequency modelling of sub-daily rainfall-extremes A. Magnini et al. 10.1016/j.jhydrol.2024.130808