44 citations as recorded by crossref.

1. Unraveling uncertainties of water table slope assessment with DGPS in lowland floodplain wetlands D. Mirosław-Świątek et al. https://doi.org/10.1007/s10661-016-5642-3
2. Building a High-Precision 2D Hydrodynamic Flood Model Using UAV Photogrammetry and Sensor Network Monitoring J. Langhammer et al. https://doi.org/10.3390/w9110861
3. Water and carbon balances in a hemi-boreal forest E. Mercuri et al. https://doi.org/10.2478/fsmu-2023-0006
4. Hydrological model calibration with uncertain discharge data I. Westerberg et al. https://doi.org/10.1080/02626667.2020.1735638
5. Potential and Challenges of Investigating Intrinsic Uncertainty of Hydrological Models With Stochastic, Time‐Dependent Parameters P. Reichert et al. https://doi.org/10.1029/2020WR028400
6. Modeling Stage–Discharge Rating Curves in Andean Basins: Contrasting Uncertainty and Spatial Validation Between Artificial Neural Networks and Empirical Methods F. Oñate-Valdivieso et al. https://doi.org/10.3390/w18111265
7. Modeling Suspended Sediment Concentration in the Stormwater Outflow from a Small Detention Pond A. Krajewski et al. https://doi.org/10.1061/(ASCE)EE.1943-7870.0001258
8. Framework for Improving Land Boundary Conditions in Ocean Regional Products F. Campuzano et al. https://doi.org/10.3390/jmse10070852
9. Calibration and Uncertainty Analysis for Isovel Contours-based Stage-discharge Rating Curve by Sequential Uncertainty Fitting (SUFI-2) Method S. Vatanchi & M. Maghrebi https://doi.org/10.1007/s11269-024-04039-9
10. Variability of the Initial Abstraction Ratio in an Urban and an Agroforested Catchment A. Krajewski et al. https://doi.org/10.3390/w12020415
11. Hydrograph recession extraction algorithm (HYDRA): Minimizing influence of stage uncertainty in identification of recession events B. Thomas https://doi.org/10.1016/j.advwatres.2021.103937
12. Estimating uncertainties in hydraulicallymodelled rating curves for discharge time series assessment V. Mansanarez et al. https://doi.org/10.1051/e3sconf/20184006013
13. Balancing Costs and Benefits in Selecting New Information: Efficient Monitoring Using Deterministic Hydro-economic Models L. Raso et al. https://doi.org/10.1007/s11269-017-1813-4
14. Estimation of river discharge using Monte Carlo simulations and a 1D hydraulic model based on the artificial multi-segmented rating curves at the confluence of two rivers H. Kang et al. https://doi.org/10.1088/2515-7620/ad277c
15. Rainfall-runoff modelling using river-stage time series in the absence of reliable discharge information: a case study in the semi-arid Mara River basin P. Hulsman et al. https://doi.org/10.5194/hess-22-5081-2018
16. Hyporheic flow in aquatic Ranunculus habitats in temperate lowland rivers in Central Europe M. Marciniak et al. https://doi.org/10.1016/j.ecolind.2023.110422
17. A multi-hydrological model ensemble prediction uncertainty estimation (e-PRUNE) framework C. Onyutha https://doi.org/10.2166/nh.2025.116
18. Improving real-time inflow forecasting into hydropower reservoirs through a complementary modelling framework A. Gragne et al. https://doi.org/10.5194/hess-19-3695-2015
19. Hydrological-hydrodynamic simulation and analysis of the possible influence of the wind in the extraordinary flood of 1941 in Porto Alegre T. Possa et al. https://doi.org/10.1590/2318-0331.272220220028
20. Bayesian analysis of stage‐fall‐discharge rating curves and their uncertainties V. Mansanarez et al. https://doi.org/10.1002/2016WR018916
21. Stormflow and suspended sediment routing through a small detention pond with uncertain discharge rating curves A. Krajewski et al. https://doi.org/10.2166/nh.2018.131
22. Value of different precipitation data for flood prediction in an alpine catchment: A Bayesian approach A. Sikorska & J. Seibert https://doi.org/10.1016/j.jhydrol.2016.06.031
23. Improving flood inundation forecasts through the assimilation of in situ floodplain water level measurements based on alternative observation network configurations A. Van Wesemael et al. https://doi.org/10.1016/j.advwatres.2019.05.025
24. Estimating sediment yield from a small urban catchment of a heterogeneous structure A. Krajewski et al. https://doi.org/10.1002/ldr.4932
25. Estimating the Uncertainty of Hydrological Predictions through Data-Driven Resampling Techniques A. Sikorska et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000926
26. Calibrating a hydrological model in stage space to account for rating curve uncertainties: general framework and key challenges A. Sikorska & B. Renard https://doi.org/10.1016/j.advwatres.2017.04.011
27. Model bias and complexity – Understanding the effects of structural deficits and input errors on runoff predictions D. Del Giudice et al. https://doi.org/10.1016/j.envsoft.2014.11.006
28. Application of 2D numerical simulation for rating curve development and inundation area mapping: a case study of monsoon dominated Dwarkeswar river S. Malik & S. Pal https://doi.org/10.1080/15715124.2020.1738447
29. A Comparison of Methods for Streamflow Uncertainty Estimation J. Kiang et al. https://doi.org/10.1029/2018WR022708
30. Modeling probabilistic lag time equation in a watershed based on uncertainties in rainfall, hydraulic and geographical factors S. Wu et al. https://doi.org/10.2166/nh.2016.134
31. Uncertainty Assessment of Synthetic Design Hydrographs for Gauged and Ungauged Catchments M. Brunner et al. https://doi.org/10.1002/2017WR021129
32. The value of streamflow data in improving TSS predictions – Bayesian multi-objective calibration A. Sikorska et al. https://doi.org/10.1016/j.jhydrol.2015.09.051
33. Predicted small catchment responses to heavy rainfalls with SEGMO and two sets of model parameters A. Krajewski et al. https://doi.org/10.2478/sggw-2014-0017
34. Estimation of predictive hydrologic uncertainty using the quantile regression and UNEEC methods and their comparison on contrasting catchments N. Dogulu et al. https://doi.org/10.5194/hess-19-3181-2015
35. A novel framework for discharge uncertainty quantification applied to 500 UK gauging stations G. Coxon et al. https://doi.org/10.1002/2014WR016532
36. Field scale quantification indicates potential for variability in return flows from flood irrigation in the high altitude western US B. Gordon et al. https://doi.org/10.1016/j.agwat.2020.106062
37. Bayesian Rating Curve Modeling: Alternative Error Model to Improve Low-Flow Uncertainty Estimation R. Garcia et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001903
38. Uncertainties in measuring and estimating water‐budget components: Current state of the science S. Levin et al. https://doi.org/10.1002/wat2.1646
39. How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications H. McMillan et al. https://doi.org/10.1002/2016WR020328
40. Enhancing urban runoff modelling using water stable isotopes and ages in complex catchments A. Smith et al. https://doi.org/10.1002/hyp.14814
41. The value of multiple data set calibration versus model complexity for improving the performance of hydrological models in mountain catchments D. Finger et al. https://doi.org/10.1002/2014WR015712
42. Review: Sources of Hydrological Model Uncertainties and Advances in Their Analysis E. Moges et al. https://doi.org/10.3390/w13010028
43. Dynamic Change Analysis of Surface Water in the Yangtze River Basin Based on MODIS Products P. Rao et al. https://doi.org/10.3390/rs10071025
44. Assessing the stage-period-discharge framework for modeling highly unstable rating curves: a case study at the UHE Peti Carrapato streamflow Gauging Station, Brazil I. Eleutério et al. https://doi.org/10.1007/s00477-024-02888-9