76 citations as recorded by crossref.

1. Model bias and complexity – Understanding the effects of structural deficits and input errors on runoff predictions D. Del Giudice et al. 10.1016/j.envsoft.2014.11.006
2. Effect of heteroscedasticity treatment in residual error models on model calibration and prediction uncertainty estimation R. Sun et al. 10.1016/j.jhydrol.2017.09.041
3. Considering rating curve uncertainty in water level predictions A. Sikorska et al. 10.5194/hess-17-4415-2013
4. Comparison of Rain Gauge Network and Weather Radar Data: Case Study in Angra dos Reis, Brazil E. Silva et al. 10.3390/w14233944
5. Model selection on solid ground: Rigorous comparison of nine ways to evaluate Bayesian model evidence A. Schöniger et al. 10.1002/2014WR016062
6. The influence of data transformations in simulating Total Suspended Solids using Bayesian inference X. Wu et al. 10.1016/j.envsoft.2019.104493
7. Residual-Oriented Optimization of Antecedent Precipitation Index and Its Impact on Flood Prediction Uncertainty J. Liang et al. 10.3390/w14203222
8. The value of streamflow data in improving TSS predictions – Bayesian multi-objective calibration A. Sikorska et al. 10.1016/j.jhydrol.2015.09.051
9. Accounting for variation in rainfall intensity and surface slope in wash-off model calibration and prediction within the Bayesian framework M. Muthusamy et al. 10.1016/j.watres.2018.06.022
10. Bayesian calibration of groundwater models with input data uncertainty T. Xu et al. 10.1002/2016WR019512
11. Benefits of Explicit Treatment of Zero Flows in Probabilistic Hydrological Modeling of Ephemeral Catchments D. McInerney et al. 10.1029/2018WR024148
12. Statistical calibration and bridging of ECMWF System4 outputs for forecasting seasonal precipitation over China Z. Peng et al. 10.1002/2013JD021162
13. A Bayesian method for missing rainfall estimation using a conceptual rainfall–runoff model S. Sun et al. 10.1080/02626667.2017.1390317
14. Modeling the temporal variability of zinc concentrations in zinc roof runoff—experimental study and uncertainty analysis J. Sage et al. 10.1007/s11356-016-6827-6
15. Toward Improved Probabilistic Predictions for Flood Forecasts Generated Using Deterministic Models X. Jiang et al. 10.1029/2019WR025477
16. Stochastic evaluation of the impact of sewer inlets’ hydraulic capacity on urban pluvial flooding J. Leitão et al. 10.1007/s00477-016-1283-x
17. Reliable long-range ensemble streamflow forecasts: Combining calibrated climate forecasts with a conceptual runoff model and a staged error model J. Bennett et al. 10.1002/2016WR019193
18. 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
19. Comparison of Two Bayesian-MCMC Inversion Methods for Laboratory Infiltration and Field Irrigation Experiments Q. Guo et al. 10.3390/ijerph17031108
20. A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations A. Sikorska-Senoner & J. Quilty 10.1016/j.envsoft.2021.105094
21. Improving probabilistic prediction of daily streamflow by identifying Pareto optimal approaches for modeling heteroscedastic residual errors D. McInerney et al. 10.1002/2016WR019168
22. Quantification of prediction uncertainty using imperfect subsurface models with model error estimation M. Rammay et al. 10.1016/j.jhydrol.2019.02.056
23. Can integrative catchment management mitigate future water quality issues caused by climate change and socio-economic development? M. Honti et al. 10.5194/hess-21-1593-2017
24. Comparison of two stochastic techniques for reliable urban runoff prediction by modeling systematic errors D. Del Giudice et al. 10.1002/2014WR016678
25. Flexible iterative ensemble smoother for calibration of perfect and imperfect models M. Rammay et al. 10.1007/s10596-020-10008-z
26. Estimating hydrologic model uncertainty in the presence of complex residual error structures S. Samadi et al. 10.1007/s00477-017-1489-6
27. Incorporating process variability into stormwater quality modelling B. Wijesiri et al. 10.1016/j.scitotenv.2015.07.008
28. The challenge of forecasting high streamflows 1–3 months in advance with lagged climate indices in southeast Australia J. Bennett et al. 10.5194/nhess-14-219-2014
29. Parameter estimation for a large catchment P. Cu & J. Ball 10.1080/13241583.2017.1398365
30. Uncertainties in discharge predictions based on microwave link rainfall estimates in a small urban catchment J. Pastorek et al. 10.1016/j.jhydrol.2022.129051
31. Improved Estimation and Forecasting Through Residual-Based Model Error Quantification M. Lu & Y. Chen 10.2118/199358-PA
32. A Data Censoring Approach for Predictive Error Modeling of Flow in Ephemeral Rivers Q. Wang et al. 10.1029/2019WR026128
33. AR-GARCH with Exogenous Variables as a Postprocessing Model for Improving Streamflow Forecasts X. Zha et al. 10.1061/(ASCE)HE.1943-5584.0001955
34. A Comparative Evaluation of Using Rain Gauge and NEXRAD Radar-Estimated Rainfall Data for Simulating Streamflow S. Ahmed et al. 10.3390/hydrology9080133
35. Short time step continuous rainfall modeling and simulation of extreme events A. Callau Poduje & U. Haberlandt 10.1016/j.jhydrol.2017.06.036
36. Bayesian inference of a lake water quality model by emulating its posterior density A. Dietzel & P. Reichert 10.1002/2012WR013086
37. The Potential of Knowing More: A Review of Data-Driven Urban Water Management S. Eggimann et al. 10.1021/acs.est.6b04267
38. Residual uncertainty estimation using instance-based learning with applications to hydrologic forecasting O. Wani et al. 10.5194/hess-21-4021-2017
39. Elucidating controls on cyanobacteria bloom timing and intensity via Bayesian mechanistic modeling D. Del Giudice et al. 10.1016/j.scitotenv.2020.142487
40. Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation J. Nagel et al. 10.1016/j.ress.2019.106737
41. Reliability of Ensemble Climatological Forecasts Z. Huang et al. 10.1029/2023WR034942
42. Quantifying predictive uncertainty of streamflow forecasts based on a Bayesian joint probability model T. Zhao et al. 10.1016/j.jhydrol.2015.06.043
43. Assessing the Effect of Uncertainties in Pollutant Wash-Off Dynamics in Stormwater Source-Control Systems Modeling: Consequences of Using an Inappropriate Error Model J. Sage et al. 10.1061/(ASCE)EE.1943-7870.0001163
44. Evaluating post-processing approaches for monthly and seasonal streamflow forecasts F. Woldemeskel et al. 10.5194/hess-22-6257-2018
45. Seismic data assimilation with an imperfect model M. Alfonzo & D. Oliver 10.1007/s10596-019-09849-0
46. Modelling urban sewer flooding and quantitative microbial risk assessment: A critical review W. Addison‐Atkinson et al. 10.1111/jfr3.12844
47. Bayesian multi-level calibration of a process-based maize phenology model M. Viswanathan et al. 10.1016/j.ecolmodel.2022.110154
48. Improving probabilistic streamflow predictions through a nonparametric residual error model J. Liang et al. 10.1016/j.envsoft.2024.105981
49. On the practical usefulness of least squares for assessing uncertainty in hydrologic and water quality predictions D. Del Giudice et al. 10.1016/j.envsoft.2018.03.009
50. A likelihood framework for deterministic hydrological models and the importance of non-stationary autocorrelation L. Ammann et al. 10.5194/hess-23-2147-2019
51. All models are wrong, but are they useful? Assessing reliability across multiple sites to build trust in urban drainage modelling A. Pedersen et al. 10.5194/hess-26-5879-2022
52. A crash-testing framework for predictive uncertainty assessment when forecasting high flows in an extrapolation context L. Berthet et al. 10.5194/hess-24-2017-2020
53. Achieving high-quality probabilistic predictions from hydrological models calibrated with a wide range of objective functions J. Hunter et al. 10.1016/j.jhydrol.2021.126578
54. Robust Algorithms for History Matching of Imperfect Subsurface Models M. Rammay et al. 10.2118/193838-PA
55. Exploring a copula-based alternative to additive error models—for non-negative and autocorrelated time series in hydrology O. Wani et al. 10.1016/j.jhydrol.2019.06.006
56. An advanced tool integrating failure and sensitivity analysis into novel modeling of the stormwater flood volume F. Fatone et al. 10.5194/hess-27-3329-2023
57. Parametric emulation and inference in computationally expensive integrated urban water quality simulators A. Moreno-Rodenas et al. 10.1007/s11356-019-05620-1
58. A strategy to overcome adverse effects of autoregressive updating of streamflow forecasts M. Li et al. 10.5194/hess-19-1-2015
59. A comprehensive implementation of the log, Box-Cox and log-sinh transformations for skewed and censored precipitation data Z. Huang et al. 10.1016/j.jhydrol.2023.129347
60. Error reduction and representation in stages (ERRIS) in hydrological modelling for ensemble streamflow forecasting M. Li et al. 10.5194/hess-20-3561-2016
61. Uncertainty Estimation Using the Glue and Bayesian Approaches in Flood Estimation: A case Study—Ba River, Vietnam P. Cu Thi et al. 10.3390/w10111641
62. The hydrologist’s guide to Bayesian model selection, averaging and combination M. Höge et al. 10.1016/j.jhydrol.2019.01.072
63. Parameter estimation of hydrologic models using a likelihood function for censored and binary observations O. Wani et al. 10.1016/j.watres.2017.05.038
64. Diagnosis of Model Errors With a Sliding Time‐Window Bayesian Analysis H. Hsueh et al. 10.1029/2021WR030590
65. Describing the catchment‐averaged precipitation as a stochastic process improves parameter and input estimation D. Del Giudice et al. 10.1002/2015WR017871
66. Accounting for model error in Bayesian solutions to hydrogeophysical inverse problems using a local basis approach C. Köpke et al. 10.1016/j.advwatres.2017.11.013
67. Performance assessment of a commonly used “accumulation and wash-off” model from long-term continuous road runoff turbidity measurements J. Sage et al. 10.1016/j.watres.2015.03.030
68. Accounting for erroneous model structures in biokinetic process models K. Villez et al. 10.1016/j.ress.2020.107075
69. 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
70. Understanding the uncertainty associated with particle-bound pollutant build-up and wash-off: A critical review B. Wijesiri et al. 10.1016/j.watres.2016.06.013
71. Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator D. Machac et al. 10.1016/j.envsoft.2018.07.016
72. The comprehensive differential split-sample test: A stress-test for hydrological model robustness under climate variability D. Motavita et al. 10.1016/j.jhydrol.2019.03.054
73. On the Joint Calibration of Multivariate Seasonal Climate Forecasts from GCMs A. Schepen et al. 10.1175/MWR-D-19-0046.1
74. Validating a spatially distributed hydrological model with soil morphology data T. Doppler et al. 10.5194/hess-18-3481-2014
75. Probabilistic online runoff forecasting for urban catchments using inputs from rain gauges as well as statically and dynamically adjusted weather radar R. Löwe et al. 10.1016/j.jhydrol.2014.03.027
76. Accounting for seasonal dependence in hydrological model errors and prediction uncertainty M. Li et al. 10.1002/wrcr.20445