42 citations as recorded by crossref.

1. Value of different precipitation data for flood prediction in an alpine catchment: A Bayesian approach A. Sikorska & J. Seibert
2. Parameter estimation of hydrologic models using a likelihood function for censored and binary observations O. Wani et al.
3. Modeling Suspended Sediment Concentration in the Stormwater Outflow from a Small Detention Pond A. Krajewski et al.
4. Efficient treatment of climate data uncertainty in ensemble Kalman filter (EnKF) based on an existing historical climate ensemble dataset H. Liu et al.
5. Calibrating a hydrological model in stage space to account for rating curve uncertainties: general framework and key challenges A. Sikorska & B. Renard
6. Effective precipitation duration for runoff peaks based on catchment modelling A. Sikorska et al.
7. Describing the catchment‐averaged precipitation as a stochastic process improves parameter and input estimation D. Del Giudice et al.
8. Estimating the Uncertainty of Hydrological Predictions through Data-Driven Resampling Techniques A. Sikorska et al.
9. Comparison of two stochastic techniques for reliable urban runoff prediction by modeling systematic errors D. Del Giudice et al.
10. The multi temporal/multi-model approach to predictive uncertainty assessment in real-time flood forecasting S. Barbetta et al.
11. A review of pollution-based real-time modelling and control for sewage systems R. da Silva Gesser et al.
12. Separately accounting for uncertainties in rainfall and runoff: Calibration of event-based conceptual hydrological models in small urban catchments using Bayesian method S. Sun & J. Bertrand-Krajewski
13. The value of streamflow data in improving TSS predictions – Bayesian multi-objective calibration A. Sikorska et al.
14. Case Study: A Real-Time Flood Forecasting System with Predictive Uncertainty Estimation for the Godavari River, India S. Barbetta et al.
15. Estimating hydrologic model uncertainty in the presence of complex residual error structures S. Samadi et al.
16. Bayesian parameter inference in hydrological modelling using a Hamiltonian Monte Carlo approach with a stochastic rain model S. Ulzega & C. Albert
17. Appropriate temporal resolution of precipitation data for discharge modelling in pre-alpine catchments A. Sikorska & J. Seibert
18. Improving event-based methods for modelling flood risk in a variable and non-stationary climate R. Nathan
19. Developing an Empirical Relations between Nash Model Parameters and Watersheds Topographical Characteristics for Predicting Direct Runoff Hydrograph K. Khidir
20. Model bias and complexity – Understanding the effects of structural deficits and input errors on runoff predictions D. Del Giudice et al.
21. Implications of changes in temperature and precipitation on the discharge of Brahmaputra River in the urban watershed of Guwahati, India I. Ahmed et al.
22. Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic R. Chandra et al.
23. Systematic Review for Urban Flood Disaster in Managerial Perspective: Forecasting, Assessment and Optimization X. Tang et al.
24. Probabilistic assessment of failure of infiltration structures under model and parametric uncertainty A. Dell’Oca et al.
25. A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations A. Sikorska-Senoner & J. Quilty
26. Estimating sediment yield from a small urban catchment of a heterogeneous structure A. Krajewski et al.
27. Considering rating curve uncertainty in water level predictions A. Sikorska et al.
28. State-of-the-Art Development of Two-Waves Artificial Intelligence Modeling Techniques for River Streamflow Forecasting W. Tan et al.
29. Regionalisation of hydrological responses under land-use change and variable data quality S. Visessri & N. McIntyre
30. Improving uncertainty estimation in urban hydrological modeling by statistically describing bias D. Del Giudice et al.
31. Improving the efficiency of Monte Carlo Bayesian calibration of hydrologic models via model pre-emption M. Shafii et al.
32. Impacts of observational uncertainty on analysis and modelling of hydrological processes: Preface H. McMillan et al.
33. Hydrological uncertainty processor based on a copula function Z. Liu et al.
34. Variability of the Initial Abstraction Ratio in an Urban and an Agroforested Catchment A. Krajewski et al.
35. Regional water balance modelling using flow-duration curves with observational uncertainties I. Westerberg et al.
36. Accounting for variation in rainfall intensity and surface slope in wash-off model calibration and prediction within the Bayesian framework M. Muthusamy et al.
37. Flood‐type classification in mountainous catchments using crisp and fuzzy decision trees A. Sikorska et al.
38. Uncertainty of Deardorff’s soil moisture model based on continuous TDR measurements for sandy loam soil A. Brandyk et al.
39. Uncertainty Assessment of Synthetic Design Hydrographs for Gauged and Ungauged Catchments M. Brunner et al.
40. Long-Term Changes of Hydrological Variables in a Small Lowland Watershed in Central Poland A. Krajewski et al.
41. Rainfall-runoff modeling: A modification of the EBA4SUB framework for ungauged and highly impervious urban catchments A. Petroselli et al.
42. Open problems in uncertainty quantification for flood modelling: A systematic review J. Idowu & A. Alfahid