58 citations as recorded by crossref.

1. Evaluation of Regionalization Methods for Hourly Continuous Streamflow Simulation Using Distributed Models in Boreal Catchments T. Hailegeorgis et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001218
2. Estimation of discharges of water flows and debris floods in a small watershed X. Guo et al. https://doi.org/10.1002/esp.5053
3. Some statistical inferences of parameter in MCMC approach and the application in uncertainty analysis of hydrological simulation P. Shi et al. https://doi.org/10.1016/j.jhydrol.2022.128767
4. Interannual stability of grid cell snow depletion curves as estimated from MODIS images S. Kolberg & L. Gottschalk https://doi.org/10.1029/2008WR007617
5. Current awareness https://doi.org/10.1002/hyp.5153
6. Appraisal of the generalized likelihood uncertainty estimation (GLUE) method J. Stedinger et al. https://doi.org/10.1029/2008WR006822
7. Statistically downscaled probabilistic multi‐model ensemble projections of precipitation change in a watershed M. Hashmi et al. https://doi.org/10.1002/hyp.8413
8. A Comprehensive Review and Application of Bayesian Methods in Hydrological Modelling: Past, Present, and Future Directions K. Haddad https://doi.org/10.3390/w17071095
9. Streamflow simulation methods for ungauged and poorly gauged watersheds A. Loukas & L. Vasiliades https://doi.org/10.5194/nhess-14-1641-2014
10. Addressing equifinality and uncertainty in eutrophication models G. Arhonditsis et al. https://doi.org/10.1029/2007WR005862
11. Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time‐dependent parameters P. Reichert & J. Mieleitner https://doi.org/10.1029/2009WR007814
12. Methods for regional calibration - a case study using the TopNet hydrological model for the Bay of Plenty region, New Zealand S. Singh et al. https://doi.org/10.1080/13241583.2020.1821487
13. Rainfall‐runoff model calibration using informal likelihood measures within a Markov chain Monte Carlo sampling scheme H. McMillan & M. Clark https://doi.org/10.1029/2008WR007288
14. Method for Assessing Impacts of Parameter Uncertainty in Sediment Transport Modeling Applications M. Ruark et al. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000343
15. Modelling radar-rainfall estimation uncertainties using elliptical and Archimedean copulas with different marginal distributions Q. Dai et al. https://doi.org/10.1080/02626667.2013.865841
16. A Bayesian hierarchical framework for calibrating aquatic biogeochemical models W. Zhang & G. Arhonditsis https://doi.org/10.1016/j.ecolmodel.2009.05.023
17. Bayesian uncertainty analysis in hydrological modeling associated with watershed subdivision level: a case study of SLURP model applied to the Xiangxi River watershed, China J. Han et al. https://doi.org/10.1007/s00477-013-0792-0
18. A hierarchical Bayesian approach to the modified Bartlett-Lewis rectangular pulse model for a joint estimation of model parameters across stations J. Kim et al. https://doi.org/10.1016/j.jhydrol.2016.11.031
19. Uncertainty and its propagation estimation for an integrated water system model: An experiment from water quantity to quality simulations Y. Zhang & Q. Shao https://doi.org/10.1016/j.jhydrol.2018.08.070
20. Systematic evaluation of autoregressive error models as post-processors for a probabilistic streamflow forecast system M. Morawietz et al. https://doi.org/10.1016/j.jhydrol.2011.07.007
21. Hydrometeorological analysis of extreme events in tropical climate basins: application of topmodel in the Muriaé River basin R. da Silva & H. Karam https://doi.org/10.1007/s11069-025-07630-4
22. A Study of Gas Entropy Profiles of 47 Galaxy Clusters and Groups out to the Virial Radius Z. Zhu et al. https://doi.org/10.3847/1538-4357/abd327
23. Climate change impacts on hydrological processes in Norway based on two methods for transferring regional climate model results to meteorological station sites S. Beldring et al. https://doi.org/10.1111/j.1600-0870.2007.00306.x
24. Comprehensive uncertainty analysis for surface water and groundwater projections under climate change based on a lumped geo-hydrological model F. Ejaz et al. https://doi.org/10.1016/j.jhydrol.2023.130323
25. An approach for improving the sampling efficiency in the Bayesian calibration of computationally expensive simulation models H. Xie et al. https://doi.org/10.1029/2007WR006773
26. Uncertainty analysis for integrated water system simulations using GLUE with different acceptability thresholds Y. Zhang et al. https://doi.org/10.1007/s11431-020-1752-0
27. Transferability of Conceptual Hydrological Models Across Temporal Resolutions: Approach and Application M. Jie et al. https://doi.org/10.1007/s11269-017-1874-4
28. Ex-situ priors: A Bayesian hierarchical framework for defining informative prior distributions in hydrogeology K. Cucchi et al. https://doi.org/10.1016/j.advwatres.2019.02.003
29. Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation J. Vrugt et al. https://doi.org/10.1029/2007WR006720
30. Uncertainty estimates by Bayesian method with likelihood of AR (1) plus Normal model and AR (1) plus Multi-Normal model in different time-scales hydrological models L. Li et al. https://doi.org/10.1016/j.jhydrol.2011.05.052
31. Development and comparison in uncertainty assessment based Bayesian modularization method in hydrological modeling L. Li et al. https://doi.org/10.1016/j.jhydrol.2013.02.002
32. Accounting for seasonal dependence in hydrological model errors and prediction uncertainty M. Li et al. https://doi.org/10.1002/wrcr.20445
33. The effect of rain gauge density and distribution on runoff simulation using a lumped hydrological modelling approach Q. Zeng et al. https://doi.org/10.1016/j.jhydrol.2018.05.058
34. Precipitation or evapotranspiration? Bayesian analysis of potential error sources in the simulation of sub-basin discharges in the Czech Elbe River basin T. Conradt et al. https://doi.org/10.1007/s10113-012-0280-y
35. Application of the SPARROW model in watersheds with limited information: a Bayesian assessment of the model uncertainty and the value of additional monitoring C. Wellen et al. https://doi.org/10.1002/hyp.9614
36. Bayesian analysis for uncertainty estimation of a canopy transpiration model S. Samanta et al. https://doi.org/10.1029/2006WR005028
37. Climate change impacts on hydrological processes in Norway based on two methods for transferring regional climate model results to meteorological station sites S. Beldring et al. https://doi.org/10.1111/j.1600-0870.2007.00306.x
38. Modelling errors calculation adapted to rainfall – Runoff model user expectations and discharge data uncertainties A. Douinot et al. https://doi.org/10.1016/j.envsoft.2017.01.007
39. Multi‐Tracer Groundwater Dating in Southern Oman Using Bayesian Modeling V. Rädle et al. https://doi.org/10.1029/2021WR031776
40. Multi-Site Validation of the SWAT Model on the Bani Catchment: Model Performance and Predictive Uncertainty J. Chaibou Begou et al. https://doi.org/10.3390/w8050178
41. Visualization Workflow for Quantifying Parameter Sensitivities and Uncertainties for Hydrologic Models C. Finkenbiner & K. Semmendinger https://doi.org/10.1111/1752-1688.12946
42. Uncertainty analysis for estimating flood frequencies for ungauged catchments using rainfall-runoff models D. Jones & A. Kay https://doi.org/10.1016/j.advwatres.2006.10.009
43. Multi-objective regional modelling K. Engeland et al. https://doi.org/10.1016/j.jhydrol.2005.11.022
44. Is point uncertain rainfall likely to have a great impact on distributed complex hydrological modeling? D. Balin et al. https://doi.org/10.1029/2009WR007848
45. Pooled error variance and covariance estimation of sparse in situ soil moisture sensor measurements in agricultural fields in Flanders M. Hendrickx et al. https://doi.org/10.5194/soil-11-435-2025
46. Evaluation of the subjective factors of the GLUE method and comparison with the formal Bayesian method in uncertainty assessment of hydrological models L. Li et al. https://doi.org/10.1016/j.jhydrol.2010.06.044
47. Updating of snow depletion curve with remote sensing data S. Kolberg & L. Gottschalk https://doi.org/10.1002/hyp.6060
48. Verification of short-term runoff forecasts for a small Philippine basin (Marikina) D. Kneis et al. https://doi.org/10.1080/02626667.2016.1183773
49. The comparison of sensitivity analysis of hydrological uncertainty estimates by GLUE and Bayesian method under the impact of precipitation errors L. Li & C. Xu https://doi.org/10.1007/s00477-013-0767-1
50. Assessing uncertainties in a conceptual water balance model using Bayesian methodology / Estimation bayésienne des incertitudes au sein d’une modélisation conceptuelle de bilan hydrologique K. Engeland et al. https://doi.org/10.1623/hysj.50.1.45.56334
51. Assessing multidecadal runoff (1970–2010) using regional hydrological modelling under data and water scarcity conditions in Peruvian Pacific catchments P. Rau et al. https://doi.org/10.1002/hyp.13318
52. Bayesian Methodology for Model Uncertainty Using Model Performance Data E. Droguett & A. Mosleh https://doi.org/10.1111/j.1539-6924.2008.01117.x
53. Streamflow drought severity analysis by percent of normal index (PNI) in northwest Iran J. Nikbakht et al. https://doi.org/10.1007/s00704-012-0750-7
54. Parameter and modeling uncertainty simulated by GLUE and a formal Bayesian method for a conceptual hydrological model X. Jin et al. https://doi.org/10.1016/j.jhydrol.2009.12.028
55. Bayesian Calibration and Sensitivity Analysis for a Karst Aquifer Model Using Active Subspaces M. Teixeira Parente et al. https://doi.org/10.1029/2019WR024739
56. Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling? J. Vrugt et al. https://doi.org/10.1007/s00477-008-0274-y
57. Stream flow variability and drought severity in the Songhua River Basin, Northeast China M. Faiz et al. https://doi.org/10.1007/s00477-017-1463-3
58. Bayesian estimation of input parameters of a nitrogen cycle model applied to a forested reference watershed, Hubbard Brook Watershed Six B. Hong et al. https://doi.org/10.1029/2004WR003551