53 citations as recorded by crossref.

1. Performance of ensemble streamflow forecasts under varied hydrometeorological conditions H. Benninga et al. 10.5194/hess-21-5273-2017
2. Assessment of a multimodel ensemble against an operational hydrological forecasting system A. Thiboult & F. Anctil 10.1080/07011784.2015.1026402
3. Sensitivity of seasonal flood simulations to regional climate model spatial resolution M. Castaneda-Gonzalez et al. 10.1007/s00382-019-04789-y
4. Transferring global uncertainty estimates from gauged to ungauged catchments F. Bourgin et al. 10.5194/hess-19-2535-2015
5. A crash-testing framework for predictive uncertainty assessment when forecasting high flows in an extrapolation context L. Berthet et al. 10.5194/hess-24-2017-2020
6. Improving streamflow estimation in ungauged basins using a multi-modelling approach T. Razavi & P. Coulibaly 10.1080/02626667.2016.1154558
7. Identification of Hydrological Models for Enhanced Ensemble Reservoir Inflow Forecasting in a Large Complex Prairie Watershed . Awol et al. 10.3390/w11112201
8. The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models M. Demirel et al. 10.5194/hess-19-275-2015
9. Performance and Uncertainty Evaluation of Snow Models on Snowmelt Flow Simulations over a Nordic Catchment (Mistassibi, Canada) M. Troin et al. 10.3390/hydrology2040289
10. Ensemble-based flash-flood modelling: Taking into account hydrodynamic parameters and initial soil moisture uncertainties S. Edouard et al. 10.1016/j.jhydrol.2017.04.048
11. Global evaluation of runoff from 10 state-of-the-art hydrological models H. Beck et al. 10.5194/hess-21-2881-2017
12. Assessing time, cost and quality trade-offs in forecast-based action for floods K. Bischiniotis et al. 10.1016/j.ijdrr.2019.101252
13. Ensemble modelling and structured decision-making to support Emergency Disease Management C. Webb et al. 10.1016/j.prevetmed.2017.01.003
14. The influence of conceptual model structure on model performance: a comparative study for 237 French catchments W. van Esse et al. 10.5194/hess-17-4227-2013
15. Multi-Model Approaches for Improving Seasonal Ensemble Streamflow Prediction Scheme with Various Statistical Post-Processing Techniques in the Canadian Prairie Region A. Muhammad et al. 10.3390/w10111604
16. Transferability of hydrological models and ensemble averaging methods between contrasting climatic periods C. Broderick et al. 10.1002/2016WR018850
17. Holistic versus monomeric strategies for hydrological modelling of human-modified hydrosystems I. Nalbantis et al. 10.5194/hess-15-743-2011
18. Climate change impacts on the streamflow in Spanish basins monitored under near-natural conditions D. Pulido-Velazquez et al. 10.1016/j.ejrh.2021.100937
19. Identification of Combined Hydrological Models and Numerical Weather Predictions for Enhanced Flood Forecasting in a Semiurban Watershed F. Awol et al. 10.1061/(ASCE)HE.1943-5584.0002018
20. A comparative analysis of 9 multi-model averaging approaches in hydrological continuous streamflow simulation R. Arsenault et al. 10.1016/j.jhydrol.2015.09.001
21. Evaluation of a stochastic weather generator for long-term ensemble streamflow forecasts S. Sohrabi & F. Brissette 10.1080/02626667.2021.1873343
22. How do potential evapotranspiration formulas influence hydrological projections? G. Seiller & F. Anctil 10.1080/02626667.2015.1100302
23. Uncertainty propagation within a water level ensemble prediction system M. Bessar et al. 10.1016/j.jhydrol.2021.127193
24. Evaluating Hydrological Models for Deriving Water Resources in Peninsular Spain J. Pérez-Sánchez et al. 10.3390/su11102872
25. Predicting lymphatic filariasis transmission and elimination dynamics using a multi-model ensemble framework M. Smith et al. 10.1016/j.epidem.2017.02.006
26. Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain R. Lane et al. 10.5194/hess-23-4011-2019
27. 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
28. Evaluation of hydrological models on small mountainous catchments: impact of the meteorological forcings G. Evin et al. 10.5194/hess-28-261-2024
29. Does the performance enhancement through multi-model averaging at the catchment outlet gets translated to the interior ungauged points? S. Dusa et al. 10.1016/j.jhydrol.2023.130389
30. Improving the reservoir inflow prediction using TIGGE ensemble data and hydrological model for Dharoi Dam, India A. Patel & S. Yadav 10.2166/ws.2023.274
31. Hydrological models weighting for hydrological projections: The impacts on future peak flows M. Castaneda-Gonzalez et al. 10.1016/j.jhydrol.2023.130098
32. Study on the applicability of the SCS-CN-based models to simulate floods in the semi-arid watersheds of northern Algeria I. Abdi & M. Meddi 10.1007/s11600-020-00511-3
33. Assessing the performance and robustness of two conceptual rainfall-runoff models on a worldwide sample of watersheds T. Mathevet et al. 10.1016/j.jhydrol.2020.124698
34. 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
35. Comparison of Stochastic Optimization Algorithms in Hydrological Model Calibration R. Arsenault et al. 10.1061/(ASCE)HE.1943-5584.0000938
36. Influence of three common calibration metrics on the diagnosis of climate change impacts on water resources G. Seiller et al. 10.1016/j.jhydrol.2017.02.004
37. Performance dependence of multi-model combination methods on hydrological model calibration strategy and ensemble size Y. Wan et al. 10.1016/j.jhydrol.2021.127065
38. Climate change impacts on the hydrologic regime of a Canadian river: comparing uncertainties arising from climate natural variability and lumped hydrological model structures G. Seiller & F. Anctil 10.5194/hess-18-2033-2014
39. Review: Sources of Hydrological Model Uncertainties and Advances in Their Analysis E. Moges et al. 10.3390/w13010028
40. Simultaneous Calibration of Hydrologic Model Structure and Parameters Using a Blended Model R. Chlumsky et al. 10.1029/2020WR029229
41. A Hydraulic MultiModel Ensemble Framework for Visualizing Flood Inundation Uncertainty C. Zarzar et al. 10.1111/1752-1688.12656
42. Multimodel Approach Using Neural Networks and Symbolic Regression to Combine the Estimated Discharges of Rainfall-Runoff Models P. Phukoetphim et al. 10.1061/(ASCE)HE.1943-5584.0001332
43. Stream flow prediction using TIGGE ensemble precipitation forecast data for Sabarmati river basin A. Patel & S. Yadav 10.2166/ws.2022.362
44. Hydropower System Operation and the Quality of Short-Term Hydrologic Ensemble Forecasts M. Osina Torres et al. 10.1061/JWRMD5.WRENG-5608
45. Improving Hydrological Model Simulations with Combined Multi-Input and Multimodel Averaging Frameworks R. Arsenault et al. 10.1061/(ASCE)HE.1943-5584.0001489
46. Diagnostic evaluation of multiple hypotheses of hydrological behaviour in a limits-of-acceptability framework for 24 UK catchments G. Coxon et al. 10.1002/hyp.10096
47. Estimating Vegetation Greening Influences on Runoff Signatures Using a Log‐Based Weighted Ensemble Method Q. Huang et al. 10.1029/2022WR032492
48. Improving the temporal transposability of lumped hydrological models on twenty diversified U.S. watersheds G. Seiller et al. 10.1016/j.ejrh.2015.02.012
49. Multi-model averaging for continuous streamflow prediction in ungauged basins R. Arsenault & F. Brissette 10.1080/02626667.2015.1117088
50. Multimodel evaluation of twenty lumped hydrological models under contrasted climate conditions G. Seiller et al. 10.5194/hess-16-1171-2012
51. Moving beyond the cost–loss ratio: economic assessment of streamflow forecasts for a risk-averse decision maker S. Matte et al. 10.5194/hess-21-2967-2017
52. A Bayesian Ensemble Approach for Epidemiological Projections T. Lindström et al. 10.1371/journal.pcbi.1004187
53. Performance of ENSEMBLES regional climate models over Central Europe using various metrics E. Holtanová et al. 10.1007/s00704-011-0542-5