27 citations as recorded by crossref.

1. Short‐term flood inundation prediction using hydrologic‐hydraulic models forced with downscaled rainfall from global NWP D. Nam et al. https://doi.org/10.1002/hyp.10084
2. Improving probabilistic flood forecasting through a data assimilation scheme based on genetic programming L. Mediero et al. https://doi.org/10.5194/nhess-12-3719-2012
3. Quantification of the Risks on Dam Preliminary Release Based on Ensemble Rainfall Forecasts and Determination of Operation H. Inomata et al. https://doi.org/10.20965/jdr.2018.p0637
4. Operational hydrological forecasting during the IPHEx-IOP campaign – Meet the challenge J. Tao et al. https://doi.org/10.1016/j.jhydrol.2016.02.019
5. Can a multi-model approach improve hydrological ensemble forecasting? A study on 29 French catchments using 16 hydrological model structures J. Velázquez et al. https://doi.org/10.5194/adgeo-29-33-2011
6. Designing a Hydrological Real-Time System for Surface Water and Groundwater in Denmark with Engagement of Stakeholders X. He et al. https://doi.org/10.1007/s11269-016-1251-8
7. Real-time correction of water stage forecast during rainstorm events using combination of forecast errors S. Wu et al. https://doi.org/10.1007/s00477-011-0514-4
8. Probabilistic short-range forecasts of high-precipitation events: optimal decision thresholds and predictability limits F. Bouttier & H. Marchal https://doi.org/10.5194/nhess-24-2793-2024
9. An ensemble data-driven approach for incorporating uncertainty in the forecasting of stormwater sewer surcharge F. Schmid & J. Leandro https://doi.org/10.1080/1573062X.2023.2240309
10. Ensemble flood forecasting: Current status and future opportunities W. Wu et al. https://doi.org/10.1002/wat2.1432
11. An Integrated Approach to Flood Risk Management: A Case Study of Navaluenga (Central Spain) J. Ballesteros-Cánovas et al. https://doi.org/10.1007/s11269-013-0332-1
12. Ensemble streamflow forecasting experiments in a tropical basin: The São Francisco river case study F. Fan et al. https://doi.org/10.1016/j.jhydrol.2014.04.038
13. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. https://doi.org/10.1029/2020WR028392
14. An Ensemble Hydrologic Modeling System for Runoff and Evapotranspiration Evaluation over an Agricultural Watershed S. Himanshu et al. https://doi.org/10.1007/s12524-022-01634-4
15. Forecasting flash floods using data-based mechanistic models and NORA radar rainfall forecasts P. Smith et al. https://doi.org/10.1080/02626667.2013.842647
16. A comprehensive review of Bayesian statistics in natural hazards engineering Y. Zheng et al. https://doi.org/10.1007/s11069-021-04729-2
17. A decision-making model for flood warning system based on ensemble forecasts L. Goodarzi et al. https://doi.org/10.1016/j.jhydrol.2019.03.040
18. Towards an ensemble-based short-term flood forecasting using an event-based flood model- incorporating catchment-average estimates of soil moisture K. Bahramian et al. https://doi.org/10.1016/j.jhydrol.2020.125828
19. Forecasting upper and lower uncertainty bands of river flood discharges with high predictive skill J. Leandro et al. https://doi.org/10.1016/j.jhydrol.2019.06.052
20. Assessment and weighting of meteorological ensemble forecast members based on supervised machine learning with application to runoff simulations and flood warning K. Doycheva et al. https://doi.org/10.1016/j.aei.2016.11.001
21. 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. https://doi.org/10.3390/w10111604
22. Assessment of a multimodel ensemble against an operational hydrological forecasting system A. Thiboult & F. Anctil https://doi.org/10.1080/07011784.2015.1026402
23. A nonlinear spatio-temporal lumping of radar rainfall for modeling multi-step-ahead inflow forecasts by data-driven techniques F. Chang & M. Tsai https://doi.org/10.1016/j.jhydrol.2016.01.056
24. Strategies for hydrologic ensemble generation and calibration: On the merits of using model-based predictors A. Tiberi-Wadier et al. https://doi.org/10.1016/j.jhydrol.2021.126233
25. Rainfall Uncertainty in Flood Forecasting: Belgian Case Study of Rivierbeek N. Van Steenbergen & P. Willems https://doi.org/10.1061/(ASCE)HE.1943-5584.0001004
26. Bayesian network model for flood forecasting based on atmospheric ensemble forecasts L. Goodarzi et al. https://doi.org/10.5194/nhess-19-2513-2019
27. Application of HEC-HMS in a Cold Region Watershed and Use of RADARSAT-2 Soil Moisture in Initializing the Model H. Bhuiyan et al. https://doi.org/10.3390/hydrology4010009