96 citations as recorded by crossref.

1. Rating curve uncertainty and change detection in discharge time series: case study with 44‐year historic data from the Nyangores River, Kenya J. Juston et al. 10.1002/hyp.9786
2. Rating curve estimation under epistemic uncertainty H. McMillan & I. Westerberg 10.1002/hyp.10419
3. Controls on the Spatial and Temporal Patterns of Rainfall‐Runoff Event Characteristics—A Large Sample of Catchments Across Great Britain Y. Zheng et al. 10.1029/2022WR033226
4. Propagation of forcing and model uncertainties on to hydrological drought characteristics in a multi-model century-long experiment in large river basins L. Samaniego et al. 10.1007/s10584-016-1778-y
5. Uncertainties in measuring and estimating water‐budget components: Current state of the science S. Levin et al. 10.1002/wat2.1646
6. 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
7. Partitioning of Precipitation Into Terrestrial Water Balance Components Under a Drying Climate H. Gardiya Weligamage et al. 10.1029/2022WR033538
8. HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation A. Bahremand 10.5194/hess-20-1433-2016
9. Hydrologic multi-model ensemble predictions using variational Bayesian deep learning D. Li et al. 10.1016/j.jhydrol.2021.127221
10. Temporal variability in stage–discharge relationships J. Guerrero et al. 10.1016/j.jhydrol.2012.04.031
11. When does spatial resolution become spurious in probabilistic flood inundation predictions? J. Savage et al. 10.1002/hyp.10749
12. Forecasting flash floods using data-based mechanistic models and NORA radar rainfall forecasts P. Smith et al. 10.1080/02626667.2013.842647
13. The challenges of modelling phosphorus in a headwater catchment: Applying a ‘limits of acceptability’ uncertainty framework to a water quality model M. Hollaway et al. 10.1016/j.jhydrol.2018.01.063
14. Hydrological data uncertainty and its implications H. McMillan et al. 10.1002/wat2.1319
15. Reply to comment by K. Beven et al. on “Pursuing the method of multiple working hypotheses for hydrological modeling” M. Clark et al. 10.1029/2012WR012547
16. A fuzzy approach to reliability based design of storm water drain network R. Gouri & V. Srinivas 10.1007/s00477-016-1299-2
17. Falsification‐Oriented Signature‐Based Evaluation for Guiding the Development of Land Surface Models and the Enhancement of Observations H. Zheng et al. 10.1029/2020MS002132
18. Hypothetico‐inductive data‐based mechanistic modeling of hydrological systems P. Young 10.1002/wrcr.20068
19. Epistemic errors in students’ four fundamental operations of whole numbers: a radical constructivist grounded theory (RCGT) approach M. Kshetree et al. 10.1007/s43545-021-00291-7
20. Curating 62 Years of Walnut Gulch Experimental Watershed Data: Improving the Quality of Long-Term Rainfall and Runoff Datasets M. Meles et al. 10.3390/w14142198
21. A General Probabilistic Framework for uncertainty and global sensitivity analysis of deterministic models: A hydrological case study G. Baroni & S. Tarantola 10.1016/j.envsoft.2013.09.022
22. Assessment and Management of Water Resources in Developing, Semi-arid and Arid Regions W. Buytaert et al. 10.1007/s11269-012-9994-3
23. Data compression to define information content of hydrological time series S. Weijs et al. 10.5194/hess-17-3171-2013
24. Uncertainty in computations of the spread of warm water in a river – lessons from Environmental Impact Assessment case study M. Kalinowska & P. Rowiński 10.5194/hess-16-4177-2012
25. Uncertainty-based multi-criteria calibration of rainfall-runoff models: a comparative study M. Shafii et al. 10.1007/s00477-014-0855-x
26. Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
27. A novel framework for discharge uncertainty quantification applied to 500 UK gauging stations G. Coxon et al. 10.1002/2014WR016532
28. Application of Multimodal Optimization for Uncertainty Estimation of Computationally Expensive Hydrologic Models H. Cho & F. Olivera 10.1061/(ASCE)WR.1943-5452.0000330
29. Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance A. Newman et al. 10.5194/hess-19-209-2015
30. Continuous simulation for computing design hydrographs for water structures S. Blazkova et al. 10.1002/hyp.11204
31. Hydrological impact of widespread afforestation in Great Britain using a large ensemble of modelled scenarios M. Buechel et al. 10.1038/s43247-021-00334-0
32. Dynamic Identifiability Analysis-Based Model Structure Evaluation Considering Rating Curve Uncertainty S. Van Hoey et al. 10.1061/(ASCE)HE.1943-5584.0000995
33. A weakly-constrained data assimilation approach to address rainfall-runoff model structural inadequacy in streamflow prediction H. Lee et al. 10.1016/j.jhydrol.2016.09.009
34. The Role of Prior Probabilities on Parameter Estimation in Hydrological Models A. Gupta et al. 10.1029/2021WR031291
35. HydroZIP: How Hydrological Knowledge can Be Used to Improve Compression of Hydrological Data S. Weijs et al. 10.3390/e15041289
36. Towards a methodology for testing models as hypotheses in the inexact sciences K. Beven 10.1098/rspa.2018.0862
37. On the value of water quality data and informative flow states in karst modelling A. Hartmann et al. 10.5194/hess-21-5971-2017
38. Regional water balance modelling using flow-duration curves with observational uncertainties I. Westerberg et al. 10.5194/hess-18-2993-2014
39. Impacts of observational uncertainty on analysis and modelling of hydrological processes: Preface H. McMillan et al. 10.1002/hyp.14481
40. UPH Problem 20 – reducing uncertainty in model prediction: a model invalidation approach based on a Turing-like test K. Beven et al. 10.5194/piahs-385-129-2024
41. Concepts of Information Content and Likelihood in Parameter Calibration for Hydrological Simulation Models K. Beven & P. Smith 10.1061/(ASCE)HE.1943-5584.0000991
42. Causal models as multiple working hypotheses about environmental processes K. Beven 10.1016/j.crte.2012.01.005
43. Reliability of lumped hydrological modeling in a semi-arid mountainous catchment facing water-use changes P. Hublart et al. 10.5194/hess-20-3691-2016
44. A formal statistical approach to representing uncertainty in rainfall–runoff modelling with focus on residual analysis and probabilistic output evaluation – Distinguishing simulation and prediction A. Breinholt et al. 10.1016/j.jhydrol.2012.09.014
45. Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High‐Fidelity and Physics‐Agnostic Models V. Tran et al. 10.1029/2023GL104464
46. Observational uncertainties in hypothesis testing: investigating the hydrological functioning of a tropical catchment I. Westerberg & C. Birkel 10.1002/hyp.10533
47. Smiling in the rain: Seven reasons to be positive about uncertainty in hydrological modelling J. Juston et al. 10.1002/hyp.9625
48. The uncertainty cascade in model fusion K. Beven & R. Lamb 10.1144/SP408.3
49. Bridging the gap between GLUE and formal statistical approaches: approximate Bayesian computation M. Sadegh & J. Vrugt 10.5194/hess-17-4831-2013
50. Simulating Runoff Under Changing Climatic Conditions: A Framework for Model Improvement K. Fowler et al. 10.1029/2018WR023989
51. Epistemic uncertainties and natural hazard risk assessment – Part 2: What should constitute good practice? K. Beven et al. 10.5194/nhess-18-2769-2018
52. A model-independent Particle Swarm Optimisation software for model calibration M. Zambrano-Bigiarini & R. Rojas 10.1016/j.envsoft.2013.01.004
53. How significant (p < 0.05) is geomorphic research? C. Hutton 10.1002/esp.3618
54. Continental hydrosystem modelling: the concept of nested stream–aquifer interfaces N. Flipo et al. 10.5194/hess-18-3121-2014
55. A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. 10.1080/02626667.2013.803183
56. HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
57. Web-Based Environmental Simulation: Bridging the Gap between Scientific Modeling and Decision-Making W. Buytaert et al. 10.1021/es2031278
58. Two calibration methods for modeling streamflow and suspended sediment with the swat model T. Brighenti et al. 10.1016/j.ecoleng.2018.11.007
59. Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface K. Beven et al. 10.1007/s11430-014-5003-4
60. How to make advances in hydrological modelling K. Beven 10.2166/nh.2019.134
61. Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan N. Mount et al. 10.1080/02626667.2016.1159683
62. Models of everywhere revisited: A technological perspective G. Blair et al. 10.1016/j.envsoft.2019.104521
63. The advantages of directly identifying continuous-time transfer function models in practical applications H. Garnier & P. Young 10.1080/00207179.2013.840053
64. Benchmarking hydrological models for an uncertain future K. Beven 10.1002/hyp.14882
65. Bayesian Rating Curve Modeling: Alternative Error Model to Improve Low-Flow Uncertainty Estimation R. Garcia et al. 10.1061/(ASCE)HE.1943-5584.0001903
66. Automatic procedure for selecting flood events and identifying flood characteristics from daily streamflow data Q. Zhang et al. 10.1016/j.envsoft.2021.105180
67. Probabilistic Flood Hazard Mapping Using Bivariate Analysis Based on Copulas A. Candela & G. Aronica 10.1061/AJRUA6.0000883
68. A method for uncertainty constraint of catchment discharge and phosphorus load estimates M. Hollaway et al. 10.1002/hyp.13217
69. Shyft v4.8: a framework for uncertainty assessment and distributed hydrologic modeling for operational hydrology J. Burkhart et al. 10.5194/gmd-14-821-2021
70. Proof of concept for Bayesian inference of dynamic rating curve uncertainty in a sparsely gauged watershed R. Cornelio et al. 10.1080/02626667.2024.2401094
71. Impact of suspicious streamflow data on the efficiency and parameter estimates of rainfall–runoff models C. Thébault et al. 10.1080/02626667.2023.2234893
72. A brief history of information and disinformation in hydrological data and the impact on the evaluation of hydrological models K. Beven 10.1080/02626667.2024.2332616
73. Disinformative data in large-scale hydrological modelling A. Kauffeldt et al. 10.5194/hess-17-2845-2013
74. Debates—The future of hydrological sciences: A (common) path forward? A call to action aimed at understanding velocities, celerities and residence time distributions of the headwater hydrograph J. McDonnell & K. Beven 10.1002/2013WR015141
75. A metric for attributing variability in modelled streamflows S. Shoaib et al. 10.1016/j.jhydrol.2016.08.050
76. Stable isotope characterization of the Vermigliana catchment G. Chiogna et al. 10.1016/j.jhydrol.2013.11.052
77. On (in)validating environmental models. 1. Principles for formulating a Turing‐like Test for determining when a model is fit‐for purpose K. Beven & S. Lane 10.1002/hyp.14704
78. Testing probabilistic adaptive real‐time flood forecasting models P. Smith et al. 10.1111/jfr3.12055
79. Creativity, Uncertainty, and Automated Model Building L. Marshall 10.1111/gwat.12552
80. An epistemically uncertain walk through the rather fuzzy subject of observation and model uncertainties1 K. Beven 10.1002/hyp.14012
81. Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication K. Beven 10.1080/02626667.2015.1031761
82. On (in)validating environmental models. 2. Implementation of a Turing‐like test to modelling hydrological processes K. Beven et al. 10.1002/hyp.14703
83. Separating aleatory and epistemic uncertainties: Probabilistic sewer flooding evaluation using probability box S. Sun et al. 10.1016/j.jhydrol.2011.12.027
84. Diagnostic evaluation of multiple hypotheses of hydrological behaviour in a limits-of-acceptability framework for 24 UK catchments G. Coxon et al. 10.1002/hyp.10096
85. What Role Does Hydrological Science Play in the Age of Machine Learning? G. Nearing et al. 10.1029/2020WR028091
86. Automatic calibration and uncertainty quantification in waves dynamical downscaling R. Alonso & S. Solari 10.1016/j.coastaleng.2021.103944
87. Can climate variability information constrain a hydrological model for an ungauged Costa Rican catchment? B. Quesada‐Montano et al. 10.1002/hyp.11460
88. Probabilistic Predictions of Ecologically Relevant Hydrologic Indices Using a Hydrological Model J. Hernandez‐Suarez & A. Nejadhashemi 10.1029/2021WR031104
89. Teaching hydrological modelling: illustrating model structure uncertainty with a ready-to-use computational exercise W. Knoben & D. Spieler 10.5194/hess-26-3299-2022
90. Informal uncertainty analysis (GLUE) of continuous flow simulation in a hybrid sewer system with infiltration inflow – consistency of containment ratios in calibration and validation? A. Breinholt et al. 10.5194/hess-17-4159-2013
91. Diagnosis of insidious data disasters J. Lundquist et al. 10.1002/2014WR016585
92. When are multiobjective calibration trade‐offs in hydrologic models meaningful? J. Kollat et al. 10.1029/2011WR011534
93. Multichannel rivers: their definition and classification P. Carling et al. 10.1002/esp.3419
94. Calibration of hydrological models using flow-duration curves I. Westerberg et al. 10.5194/hess-15-2205-2011
95. A probabilistic methodology for quantifying, diagnosing and reducing model structural and predictive errors in short term water demand forecasting C. Hutton & Z. Kapelan 10.1016/j.envsoft.2014.12.021
96. A blueprint for process‐based modeling of uncertain hydrological systems A. Montanari & D. Koutsoyiannis 10.1029/2011WR011412