12 citations as recorded by crossref.

1. Evaluation of a stochastic weather generator for long-term ensemble streamflow forecasts S. Sohrabi & F. Brissette 10.1080/02626667.2021.1873343
2. A stochastic conceptual-data-driven approach for improved hydrological simulations J. Quilty et al. 10.1016/j.envsoft.2022.105326
3. User-tailored sub-selection of climate model ensemble members for impact studies A. Sikorska-Senoner et al. 10.1016/j.scitotenv.2024.175769
4. Delineating modelling uncertainty in river flow indicators with representative parameter sets A. Sikorska-Senoner 10.1016/j.advwatres.2021.104024
5. A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations A. Sikorska-Senoner & J. Quilty 10.1016/j.envsoft.2021.105094
6. Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al. 10.1002/wat2.1574
7. Ensemble and stochastic conceptual data-driven approaches for improving streamflow simulations: Exploring different hydrological and data-driven models and a diagnostic tool D. Hah et al. 10.1016/j.envsoft.2022.105474
8. Comprehensive space–time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin D. Viviroli et al. 10.5194/nhess-22-2891-2022
9. Clustering model responses in the frequency space for improved simulation‐based flood risk studies: The role of a cluster number A. Sikorska‐Senoner 10.1111/jfr3.12772
10. Can continuous simulation be used as an alternative for flood regionalisation? A large sample example from Chile P. Acuña & A. Pizarro 10.1016/j.jhydrol.2023.130118
11. Uncertainty in the Number of Calibration Repetitions of a Hydrologic Model in Varying Climatic Conditions P. Sleziak et al. 10.3390/w12092362
12. Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models M. Brunner et al. 10.5194/hess-25-105-2021