29 citations as recorded by crossref.

1. Global‐scale regionalization of hydrologic model parameters H. Beck et al.
2. Hydrological post-processing using stacked generalization of quantile regression algorithms: Large-scale application over CONUS H. Tyralis et al.
3. Characterizing Uncertainty in Daily Streamflow Estimates at Ungauged Locations for the Massachusetts Sustainable Yield Estimator W. Farmer & S. Levin
4. Regional Parameter Estimation of the SWAT Model: Methodology and Application to River Basins in the Peruvian Pacific Drainage F. Asurza-Véliz & W. Lavado-Casimiro
5. Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: Methodology development and investigation using toy models G. Papacharalampous et al.
6. EvalHyd v0.1.2: a polyglot tool for the evaluation of deterministic and probabilistic streamflow predictions T. Hallouin et al.
7. On the choice of calibration metrics for “high-flow” estimation using hydrologic models N. Mizukami et al.
8. Assessment of spatial transferability of process‐based hydrological model parameters in two neighbouring catchments in the Himalayan Region S. Nepal et al.
9. Quantifying uncertainty in simulated streamflow and runoff from a continental-scale monthly water balance model A. Bock et al.
10. Leveraging ensemble meteorological forcing data to improve parameter estimation of hydrologic models H. Liu et al.
11. Random Forest Ability in Regionalizing Hourly Hydrological Model Parameters M. Saadi et al.
12. On the deterministic and stochastic use of hydrologic models W. Farmer & R. Vogel
13. A space-time geostatistical approach for ensemble rainfall nowcasting A. Caseri et al.
14. Evaluation of Uncertainty Intervals for Daily, Statistically Derived Streamflow Estimates at Ungaged Basins across the Continental U.S. S. Levin & W. Farmer
15. Evaluating Hydrological Models for Deriving Water Resources in Peninsular Spain J. Pérez-Sánchez et al.
16. Cumulative Effects of Uncertainty on Simulated Streamflow in a Hydrologic Modeling Environment S. Pokorny et al.
17. Explanation and Probabilistic Prediction of Hydrological Signatures with Statistical Boosting Algorithms H. Tyralis et al.
18. Review: Sources of Hydrological Model Uncertainties and Advances in Their Analysis E. Moges et al.
19. A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting G. Papacharalampous & H. Tyralis
20. How to explain and predict the shape parameter of the generalized extreme value distribution of streamflow extremes using a big dataset H. Tyralis et al.
21. Estimation of uncertainty in flood forecasts—A comparison of methods L. Boelee et al.
22. A stochastic wavelet-based data-driven framework for forecasting uncertain multiscale hydrological and water resources processes J. Quilty & J. Adamowski
23. A crash-testing framework for predictive uncertainty assessment when forecasting high flows in an extrapolation context L. Berthet et al.
24. Probabilistic Hydrological Post-Processing at Scale: Why and How to Apply Machine-Learning Quantile Regression Algorithms G. Papacharalampous et al.
25. A stochastic conceptual-data-driven approach for improved hydrological simulations J. Quilty et al.
26. Climate change impacts on the streamflow in Spanish basins monitored under near-natural conditions D. Pulido-Velazquez et al.
27. Vers une production en temps réel d'intervalles prédictifs associés aux prévisions de crue dans Vigicrues en France J. Viatgé et al.
28. Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale G. Papacharalampous et al.
29. Controls on lag time in Philippine catchments identified using rainfall–runoff modelling and a generalized additive model (GAM) P. Tolentino et al.