58 citations as recorded by crossref.

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7. Statistically downscaled probabilistic multi‐model ensemble projections of precipitation change in a watershed M. Hashmi et al. 10.1002/hyp.8413
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13. Rainfall‐runoff model calibration using informal likelihood measures within a Markov chain Monte Carlo sampling scheme H. McMillan & M. Clark 10.1029/2008WR007288
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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. 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 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. 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 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. 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. 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. 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. 10.1029/2007WR006773
26. Uncertainty analysis for integrated water system simulations using GLUE with different acceptability thresholds Y. Zhang et al. 10.1007/s11431-020-1752-0
27. Transferability of Conceptual Hydrological Models Across Temporal Resolutions: Approach and Application M. Jie et al. 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. 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. 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. 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. 10.1016/j.jhydrol.2013.02.002
32. Accounting for seasonal dependence in hydrological model errors and prediction uncertainty M. Li et al. 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. 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. 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. 10.1002/hyp.9614
36. Bayesian analysis for uncertainty estimation of a canopy transpiration model S. Samanta et al. 10.1029/2006WR005028
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38. Modelling errors calculation adapted to rainfall – Runoff model user expectations and discharge data uncertainties A. Douinot et al. 10.1016/j.envsoft.2017.01.007
39. Multi‐Tracer Groundwater Dating in Southern Oman Using Bayesian Modeling V. Rädle et al. 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. 10.3390/w8050178
41. Visualization Workflow for Quantifying Parameter Sensitivities and Uncertainties for Hydrologic Models C. Finkenbiner & K. Semmendinger 10.1111/1752-1688.12946
42. Uncertainty analysis for estimating flood frequencies for ungauged catchments using rainfall-runoff models D. Jones & A. Kay 10.1016/j.advwatres.2006.10.009
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44. Is point uncertain rainfall likely to have a great impact on distributed complex hydrological modeling? D. Balin et al. 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. 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. 10.1016/j.jhydrol.2010.06.044
47. Updating of snow depletion curve with remote sensing data S. Kolberg & L. Gottschalk 10.1002/hyp.6060
48. Verification of short-term runoff forecasts for a small Philippine basin (Marikina) D. Kneis et al. 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 10.1007/s00477-013-0767-1
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51. Assessing multidecadal runoff (1970–2010) using regional hydrological modelling under data and water scarcity conditions in Peruvian Pacific catchments P. Rau et al. 10.1002/hyp.13318
52. Bayesian Methodology for Model Uncertainty Using Model Performance Data E. Droguett & A. Mosleh 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. 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. 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. 10.1029/2019WR024739
56. Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling? J. Vrugt et al. 10.1007/s00477-008-0274-y
57. Stream flow variability and drought severity in the Songhua River Basin, Northeast China M. Faiz et al. 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. 10.1029/2004WR003551