50 citations as recorded by crossref.

1. Stochastic modeling of suspended sediment load in alluvial rivers S. Shojaeezadeh et al. 10.1016/j.advwatres.2018.06.006
2. Confidence intervals of the Kling-Gupta efficiency J. Vrugt & D. de Oliveira 10.1016/j.jhydrol.2022.127968
3. Signature‐Domain Calibration of Hydrological Models Using Approximate Bayesian Computation: Theory and Comparison to Existing Applications D. Kavetski et al. 10.1002/2017WR020528
4. Stochastic inversion for soil hydraulic parameters in the presence of model error: An example involving ground-penetrating radar monitoring of infiltration C. Köpke et al. 10.1016/j.jhydrol.2018.12.016
5. Climate‐Induced Changes in the Risk of Hydrological Failure of Major Dams in California I. Mallakpour et al. 10.1029/2018GL081888
6. On the use of distribution-adaptive likelihood functions: Generalized and universal likelihood functions, scoring rules and multi-criteria ranking J. Vrugt et al. 10.1016/j.jhydrol.2022.128542
7. Using maximum likelihood to derive various distance-based goodness-of-fit indicators for hydrologic modeling assessment Q. Cheng et al. 10.1007/s00477-017-1507-8
8. Uncertainty quantification in watershed hydrology: Which method to use? A. Gupta & R. Govindaraju 10.1016/j.jhydrol.2022.128749
9. Comparison of GLUE and DREAM for the estimation of cultivar parameters in the APSIM-maize model M. Sheng et al. 10.1016/j.agrformet.2019.107659
10. Relative model score: a scoring rule for evaluating ensemble simulations with application to microbial soil respiration modeling A. Elshall et al. 10.1007/s00477-018-1592-3
11. Revising tortuosity and multi-fractal assumptions of unsaturated hydraulic conductivity from critical path analysis of percolation theory A. Rad et al. 10.1016/j.geoderma.2019.06.002
12. Robust and efficient uncertainty quantification for extreme events that deviate significantly from the training dataset using polynomial chaos-kriging V. Tran & J. Kim 10.1016/j.jhydrol.2022.127716
13. Conditional interval reduction method: A possible new direction for the optimization of process based models R. Hollós et al. 10.1016/j.envsoft.2022.105556
14. Multihazard Scenarios for Analysis of Compound Extreme Events M. Sadegh et al. 10.1029/2018GL077317
15. A game theoretical low impact development optimization model for urban storm water management M. Latifi et al. 10.1016/j.jclepro.2019.118323
16. The stationarity paradigm revisited: Hypothesis testing using diagnostics, summary metrics, and DREAM(ABC) M. Sadegh et al. 10.1002/2014WR016805
17. 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. 10.1016/j.advwatres.2019.103470
18. A hybrid time- and signature-domain Bayesian inference framework for calibration of hydrological models: a case study in the Ren River basin in China S. Liu et al. 10.1007/s00477-022-02282-3
19. Multi-objective conflict resolution optimization model for reservoir’s selective depth water withdrawal considering water quality M. Haghighat et al. 10.1007/s11356-020-10475-y
20. Model Falsification from a Bayesian Viewpoint with Applications to Parameter Inference and Model Selection of Dynamical Systems A. Dasgupta & E. Johnson 10.1061/JENMDT.EMENG-7204
21. Copula‐Based Convection‐Permitting Projections of Future Changes in Multivariate Drought Characteristics B. Zhang et al. 10.1029/2019JD030686
22. Comparison of Likelihood-Free Inference Approach and a Formal Bayesian Method in Parameter Uncertainty Assessment: Case Study with a Single-Event Rainfall–Runoff Model M. Nourali 10.1061/(ASCE)HE.1943-5584.0002048
23. Signature‐Domain Calibration of Hydrological Models Using Approximate Bayesian Computation: Empirical Analysis of Fundamental Properties F. Fenicia et al. 10.1002/2017WR021616
24. Probabilistic programming: A review for environmental modellers C. Krapu & M. Borsuk 10.1016/j.envsoft.2019.01.014
25. A novel reliability analysis method for a dependent system by copula model: a case study in operation tunnels maintenance W. Liu et al. 10.1007/s13349-022-00581-5
26. Verification of short-term runoff forecasts for a small Philippine basin (Marikina) D. Kneis et al. 10.1080/02626667.2016.1183773
27. Flow parameter estimation using laser absorption spectroscopy and approximate Bayesian computation J. Christopher et al. 10.1007/s00348-020-03122-2
28. Bayesian calibration of a flood simulator using binary flood extent observations M. Balbi & D. Lallemant 10.5194/hess-27-1089-2023
29. Multivariate Copula Analysis Toolbox (MvCAT): Describing dependence and underlying uncertainty using a Bayesian framework M. Sadegh et al. 10.1002/2016WR020242
30. Development of a stochastic hydrological modeling system for improving ensemble streamflow prediction Y. Shen et al. 10.1016/j.jhydrol.2022.127683
31. Impact of the numbers of observations and calibration parameters on equifinality, model performance, and output and parameter uncertainty Y. Her & I. Chaubey 10.1002/hyp.10487
32. Parameter-state ensemble thinning for short-term hydrological prediction B. Davison et al. 10.5194/hess-23-741-2019
33. A fuzzy multi-objective optimization approach for treated wastewater allocation S. Tayebikhorami et al. 10.1007/s10661-019-7557-2
34. Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication K. Beven 10.1080/02626667.2015.1031761
35. Bayesian inference and predictive performance of soil respiration models in the presence of model discrepancy A. Elshall et al. 10.5194/gmd-12-2009-2019
36. Improving probabilistic hydroclimatic projections through high-resolution convection-permitting climate modeling and Markov chain Monte Carlo simulations S. Wang & Y. Wang 10.1007/s00382-019-04702-7
37. Approximate Bayesian computation methods for daily spatiotemporal precipitation occurrence simulation B. Olson & W. Kleiber 10.1002/2016WR019741
38. Embracing equifinality with efficiency: Limits of Acceptability sampling using the DREAM(LOA) algorithm J. Vrugt & K. Beven 10.1016/j.jhydrol.2018.02.026
39. Improving Robustness of Hydrologic Ensemble Predictions Through Probabilistic Pre‐ and Post‐Processing in Sequential Data Assimilation S. Wang et al. 10.1002/2018WR022546
40. Water balance model (WBM) v.1.0.0: a scalable gridded global hydrologic model with water-tracking functionality D. Grogan et al. 10.5194/gmd-15-7287-2022
41. Parameter estimation for complex thermal-fluid flows using approximate Bayesian computation J. Christopher et al. 10.1103/PhysRevFluids.3.104602
42. Automatic calibration and uncertainty quantification in waves dynamical downscaling R. Alonso & S. Solari 10.1016/j.coastaleng.2021.103944
43. A computationally efficient method for uncertainty analysis of SWAT model simulations P. Athira et al. 10.1007/s00477-018-1538-9
44. On constructing limits-of-acceptability in watershed hydrology using decision trees A. Gupta et al. 10.1016/j.advwatres.2023.104486
45. Considering rating curve uncertainty in water level predictions A. Sikorska et al. 10.5194/hess-17-4415-2013
46. Stochastic inversion for soil hydraulic parameters in the presence of model error: An example involving ground-penetrating radar monitoring of infiltration C. Köpke et al. 10.1016/j.jhydrol.2018.12.016
47. An Improved Bayesian Structural Identification Using the First Two Derivatives of Log-Likelihood Measure J. Zhou et al. 10.1155/2015/236475
48. Estimating hydrologic model uncertainty in the presence of complex residual error structures S. Samadi et al. 10.1007/s00477-017-1489-6
49. Experimental Coupling of TOPMODEL with the National Water Model: Effects of Coupling Interface Complexity on Model Performance D. Kim et al. 10.1111/1752-1688.12953
50. Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation J. Vrugt 10.1016/j.envsoft.2015.08.013