120 citations as recorded by crossref.

1. Technical Note: The divide and measure nonconformity – how metrics can mislead when we evaluate on different data partitions D. Klotz et al. 10.5194/hess-28-3665-2024
2. New objective functions for streamflow calibrations to specific model applications H. Il Choi 10.1016/j.jhydrol.2024.132109
3. Variability in flow and tracer-based performance metric sensitivities reveal regional differences in dominant hydrological processes across the Athabasca River basin T. Holmes et al. 10.1016/j.ejrh.2022.101088
4. Identifying sensitivities in flood frequency analyses using a stochastic hydrologic modeling system A. Newman et al. 10.5194/hess-25-5603-2021
5. Advancement of a Blended Hydrologic Model for Robust Model Performance R. Chlumsky et al. 10.1061/JHYEFF.HEENG-6246
6. Toward Monitoring Short-Term Droughts Using a Novel Daily Scale, Standardized Antecedent Precipitation Evapotranspiration Index J. Li et al. 10.1175/JHM-D-19-0298.1
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8. The Role of Snowmelt Temporal Pattern in Flood Estimation for a Small Snow‐Dominated Basin in the Sierra Nevada H. Yan et al. 10.1029/2023WR034496
9. Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models M. Brunner et al. 10.5194/hess-25-105-2021
10. Physics-guided deep learning for rainfall-runoff modeling by considering extreme events and monotonic relationships K. Xie et al. 10.1016/j.jhydrol.2021.127043
11. Disparate Seasonal Nitrate Export From Nested Heterogeneous Subcatchments Revealed With StorAge Selection Functions T. Nguyen et al. 10.1029/2021WR030797
12. A Data- and Knowledge-Driven Method for Fusing Satellite-Derived and Ground-Based Precipitation Observations F. Chen et al. 10.1109/TGRS.2024.3385647
13. Exploring an Alternative Configuration of the Hydroclimatic Modeling Chain, Based on the Notion of Asynchronous Objective Functions S. Ricard et al. 10.3390/w11102012
14. Technical note: Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores W. Knoben et al. 10.5194/hess-23-4323-2019
15. Ten strategies towards successful calibration of environmental models J. Mai 10.1016/j.jhydrol.2023.129414
16. Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments H. Beck et al. 10.1029/2019JD031485
17. Guidance on large scale hydrologic model calibration with isotope tracers T. Holmes et al. 10.1016/j.jhydrol.2023.129604
18. Performance dependence of multi-model combination methods on hydrological model calibration strategy and ensemble size Y. Wan et al. 10.1016/j.jhydrol.2021.127065
19. Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating Model‐Agnostic and Model‐Specific Configuration Steps in Applications of Large‐Domain Hydrologic Models W. Knoben et al. 10.1029/2021WR031753
20. Comparing calibration strategies of a conceptual snow hydrology model and their impact on model performance and parameter identifiability S. Nemri & C. Kinnard 10.1016/j.jhydrol.2019.124474
21. Exploring parameter (dis)agreement due to calibration metric selection in conceptual rainfall–runoff models E. Muñoz-Castro et al. 10.1080/02626667.2023.2231434
22. Construction of a daily streamflow dataset for Peru using a similarity-based regionalization approach and a hybrid hydrological modeling framework H. Llauca et al. 10.1016/j.ejrh.2023.101381
23. Calibration of hydrological models for ecologically relevant streamflow predictions: a trade-off between fitting well to data and estimating consistent parameter sets? T. Hallouin et al. 10.5194/hess-24-1031-2020
24. When best is the enemy of good – critical evaluation of performance criteria in hydrological models G. Cinkus et al. 10.5194/hess-27-2397-2023
25. CAMELS-Chem: augmenting CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) with atmospheric and stream water chemistry data G. Sterle et al. 10.5194/hess-28-611-2024
26. Can continuous simulation be used as an alternative for flood regionalisation? A large sample example from Chile P. Acuña & A. Pizarro 10.1016/j.jhydrol.2023.130118
27. Development of a Regional Gridded Runoff Dataset Using Long Short-Term Memory (LSTM) Networks G. Ayzel et al. 10.3390/hydrology8010006
28. Forcing uncertainty and salinity response to dredging in a tidal freshwater river R. Miller 10.1080/15715124.2021.1961795
29. Deep learning algorithms and their fuzzy extensions for streamflow prediction in climate change framework R. Vogeti et al. 10.2166/wcc.2024.594
30. A process-driven deep learning hydrological model for daily rainfall-runoff simulation H. Li et al. 10.1016/j.jhydrol.2024.131434
31. Quality Assessment of Small Urban Catchments Stormwater Models: A New Approach Using Old Metrics L. David & T. Mota 10.3390/hydrology9050087
32. A time-varying distributed unit hydrograph method considering soil moisture B. Yi et al. 10.5194/hess-26-5269-2022
33. Frequency-based performance measure for hydrologic model evaluation R. Teegavarapu et al. 10.1016/j.jhydrol.2022.127583
34. Evaluating the contributions of climate change and human activities to runoff in typical semi-arid area, China L. Wu et al. 10.1016/j.jhydrol.2020.125555
35. An integrated approach to streamflow estimation and flood inundation mapping using VIC, RAPID and LISFLOOD-FP S. Nandi & M. Reddy 10.1016/j.jhydrol.2022.127842
36. Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process K. Chong et al. 10.1007/s13201-022-01790-5
37. A watershed-scale multi-approach assessment of design flood discharge estimates used in hydrologic risk analyses for forest road stream crossings and culverts S. Mukherjee et al. 10.1016/j.jhydrol.2024.130698
38. Using multi-event hydrologic and hydraulic signatures from water level sensors to diagnose locations of uncertainty in integrated urban drainage models used in living digital twins A. Pedersen et al. 10.2166/wst.2022.059
39. ‘Teflon Basin’ or Not? A High-Elevation Catchment Transit Time Modeling Approach J. Schmieder et al. 10.3390/hydrology6040092
40. Development of objective function-based ensemble model for streamflow forecasts Y. Lin et al. 10.1016/j.jhydrol.2024.130861
41. RR-Former: Rainfall-runoff modeling based on Transformer H. Yin et al. 10.1016/j.jhydrol.2022.127781
42. Calibration of ECMWF SEAS5 based streamflow forecast in Seasonal hydrological forecasting for Citarum river basin, West Java, Indonesia D. Ratri et al. 10.1016/j.ejrh.2022.101305
43. Towards a generic model evaluation metric for non-normally distributed measurements in water quality and ecosystem models T. Fu & C. Zhang 10.1016/j.ecoinf.2024.102470
44. Leveraging River Network Topology and Regionalization to Expand SWOT-Derived River Discharge Time Series in the Mississippi River Basin C. Nickles & E. Beighley 10.3390/rs13081590
45. Improving performance of bucket-type hydrological models in high latitudes with multi-model combination methods: Can we wring water from a stone? A. Todorović et al. 10.1016/j.jhydrol.2024.130829
46. Factors influencing calibration of a semi-distributed mixed runoff hydrological model: A study on nine small mountain catchments in China L. Wen et al. 10.1016/j.ejrh.2023.101418
47. Evaluating the parameter sensitivity and impact of hydrologic modeling decisions on flood simulations A. Alexander et al. 10.1016/j.advwatres.2023.104560
48. Enhancing flood event predictions: Multi-objective calibration using gauge and satellite data S. Gegenleithner et al. 10.1016/j.jhydrol.2024.130879
49. Evaluation of best management practices for mitigating harmful algal blooms risk in an agricultural lake basin using a watershed model integrated with Bayesian Network approach D. Liu et al. 10.1016/j.jenvman.2024.121433
50. When does a parsimonious model fail to simulate floods? Learning from the seasonality of model bias P. Astagneau et al. 10.1080/02626667.2021.1923720
51. Joint Failure Probability of Dams Based on Probabilistic Flood Hazard Analysis M. Montgomery et al. 10.3390/w16060865
52. The Abuse of Popular Performance Metrics in Hydrologic Modeling M. Clark et al. 10.1029/2020WR029001
53. Which range of streamflow data is most informative in the calibration of an hourly hydrological model? M. Saadi & C. Furusho-Percot 10.1080/02626667.2023.2277835
54. A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019 H. Tran et al. 10.1038/s41597-022-01123-w
55. Opportunities and challenges in using catchment-scale storage estimates from cosmic ray neutron sensors for rainfall-runoff modelling K. Dimitrova-Petrova et al. 10.1016/j.jhydrol.2020.124878
56. Instream constructed wetland capacity at controlling phosphorus outflow under a long‐term nutrient loading scenario: approach using SWAT model C. Sohoulande Djebou et al. 10.1007/s40808-023-01763-w
57. Assessing Objective Functions in Streamflow Prediction Model Training Based on the Naïve Method Y. Lin et al. 10.3390/w16050777
58. A review of hydrologic signatures and their applications H. McMillan 10.1002/wat2.1499
59. A novel multi-objective model calibration method for ecohydrological applications J. Hernandez-Suarez et al. 10.1016/j.envsoft.2021.105161
60. The proper care and feeding of CAMELS: How limited training data affects streamflow prediction M. Gauch et al. 10.1016/j.envsoft.2020.104926
61. Lead-time-dependent calibration of a flood forecasting model P. Astagneau et al. 10.1016/j.jhydrol.2024.132119
62. Extreme floods in Europe: going beyond observations using reforecast ensemble pooling M. Brunner & L. Slater 10.5194/hess-26-469-2022
63. On the selection of precipitation products for the regionalisation of hydrological model parameters O. Baez-Villanueva et al. 10.5194/hess-25-5805-2021
64. Modeling of Future Streamflow Hazards in Interior Alaska River Systems and Implications for Applied Planning A. Bennett et al. 10.3390/w16141949
65. Efficiency of global precipitation datasets in tropical and subtropical catchments revealed by large sampling hydrological modelling J. Andrade et al. 10.1016/j.jhydrol.2024.131016
66. Influence of Calibration Parameter Selection on Flash Flood Simulation for Small to Medium Catchments with MISDc-2L Model N. Nguyen et al. 10.3390/w12113255
67. Guidance on evaluating parametric model uncertainty at decision-relevant scales J. Smith et al. 10.5194/hess-26-2519-2022
68. HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin F. Kratzert et al. 10.5194/hess-28-4187-2024
69. Assessing the performance and robustness of two conceptual rainfall-runoff models on a worldwide sample of watersheds T. Mathevet et al. 10.1016/j.jhydrol.2020.124698
70. Combined use of crop yield statistics and remotely sensed products for enhanced simulations of evapotranspiration within an agricultural watershed S. Lee et al. 10.1016/j.agwat.2022.107503
71. In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance M. Gauch et al. 10.1029/2022WR033918
72. Neural Network Approach to Retrieving Ocean Subsurface Temperatures from Surface Parameters Observed by Satellites H. Cheng et al. 10.3390/w13030388
73. Development of a macroscale distributed hydro-modeling method: Bayesian principal-monotonicity inference G. Cheng et al. 10.1016/j.jhydrol.2022.128803
74. Advancing objective functions in hydrological modelling: Integrating knowable moments for improved simulation accuracy A. Pizarro & J. Jorquera 10.1016/j.jhydrol.2024.131071
75. Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin J. Towner et al. 10.5194/hess-23-3057-2019
76. Modelling the impacts of future coal mining and coal seam gas extraction on river flows: A methodological framework N. Viney et al. 10.1016/j.jhydrol.2021.126144
77. Goodness-of-fit criteria for hydrological models: Model calibration and performance assessment D. Althoff & L. Rodrigues 10.1016/j.jhydrol.2021.126674
78. Integration of Generative-Adversarial-Network-Based Data Compaction and Spatial Attention Transductive Long Short-Term Memory for Improved Rainfall–Runoff Modeling B. Ghanati & J. Serra-Sagristà 10.3390/rs16203889
79. A rebalanced performance criterion for hydrological model calibration J. Lee & H. Choi 10.1016/j.jhydrol.2021.127372
80. Teaching hydrological modelling: illustrating model structure uncertainty with a ready-to-use computational exercise W. Knoben & D. Spieler 10.5194/hess-26-3299-2022
81. Quantification of global Digital Elevation Model (DEM) – A case study of the newly released NASADEM for a river basin in Central Vietnam T. Tran et al. 10.1016/j.ejrh.2022.101282
82. Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets F. Kratzert et al. 10.5194/hess-23-5089-2019
83. Towards an Indian land data assimilation system (ILDAS): A coupled hydrologic-hydraulic system for water balance assessments B. Magotra et al. 10.1016/j.jhydrol.2023.130604
84. Hydrological performance of the ERA5 reanalysis for flood modeling in Tunisia with the LISFLOOD and GR4J models E. Cantoni et al. 10.1016/j.ejrh.2022.101169
85. Does the performance enhancement through multi-model averaging at the catchment outlet gets translated to the interior ungauged points? S. Dusa et al. 10.1016/j.jhydrol.2023.130389
86. PISCO_HyM_GR2M: A Model of Monthly Water Balance in Peru (1981–2020) H. Llauca et al. 10.3390/w13081048
87. Diagnostic Evaluation of Large‐Domain Hydrologic Models Calibrated Across the Contiguous United States O. Rakovec et al. 10.1029/2019JD030767
88. Regionalization of catchment hydrological model parameters for global water resources simulations W. Qi et al. 10.2166/nh.2022.118
89. A comprehensive method for error separation in hydrological modelling Y. Zhao et al. 10.1002/hyp.15273
90. A Holistic Modelling Approach for the Estimation of Return Levels of Peak Flows in Bavaria F. Willkofer et al. 10.3390/w12092349
91. Improved Streamflow Calibration of a Land Surface Model by the Choice of Objective Functions—A Case Study of the Nakdong River Watershed in the Korean Peninsula J. Lee & H. Choi 10.3390/w13121709
92. Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
93. 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
94. Assessing the role of location and scale of Nature Based Solutions for the enhancement of low flows J. Fennell et al. 10.1080/15715124.2022.2092490
95. Runoff from an extensive green roof during extreme events: Insights from 15 years of observations K. Paus & B. Braskerud 10.1002/hyp.15220
96. Towards parameter estimation in global hydrological models J. Kupzig et al. 10.1088/1748-9326/acdae8
97. Catchment response to intense rainfall: Evaluating modelling hypotheses P. Astagneau et al. 10.1002/hyp.14676
98. Using high level validation to increase lake ecosystem model reliability S. Regev et al. 10.1016/j.envsoft.2023.105637
99. Review of Recent Developments in Hydrologic Forecast Merging Techniques M. Sheikh & P. Coulibaly 10.3390/w16020301
100. A coupled streamflow and water temperature (VIC-RBM-CE-QUAL-W2) model for the Nechako Reservoir S. Larabi et al. 10.1016/j.ejrh.2022.101237
101. Time variable effectiveness and cost-benefits of different nature-based solution types and design for drought and flood management J. Fennell et al. 10.1016/j.nbsj.2023.100050
102. A hydrological model skill score and revised R-squared C. Onyutha 10.2166/nh.2021.071
103. A multi‐objective approach to select hydrological models and constrain structural uncertainties for climate impact assessments D. Saavedra et al. 10.1002/hyp.14446
104. Constraining Flood Forecasting Uncertainties through Streamflow Data Assimilation in the Tropical Andes of Peru: Case of the Vilcanota River Basin H. Llauca et al. 10.3390/w15223944
105. Technical note: Diagnostic efficiency – specific evaluation of model performance R. Schwemmle et al. 10.5194/hess-25-2187-2021
106. Analysis of high streamflow extremes in climate change studies: how do we calibrate hydrological models? B. Majone et al. 10.5194/hess-26-3863-2022
107. Advancing traditional strategies for testing hydrological model fitness in a changing climate A. Todorović et al. 10.1080/02626667.2022.2104646
108. How well do the multi-satellite and atmospheric reanalysis products perform in hydrological modelling L. Gu et al. 10.1016/j.jhydrol.2022.128920
109. Neglecting Model Parametric Uncertainty Can Drastically Underestimate Flood Risks S. Sharma et al. 10.1029/2022EF003050
110. Signatures-and-sensitivity-based multi-criteria variational calibration for distributed hydrological modeling applied to Mediterranean floods N. Huynh et al. 10.1016/j.jhydrol.2023.129992
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113. An extremeness threshold determines the regional response of floods to changes in rainfall extremes M. Brunner et al. 10.1038/s43247-021-00248-x
114. Runoff for Russia (RFR v1.0): The Large-Sample Dataset of Simulated Runoff and Its Characteristics G. Ayzel 10.3390/data8020031
115. Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling D. Araya et al. 10.5194/hess-27-4385-2023
116. Generating interpretable rainfall-runoff models automatically from data T. Dantzer & B. Kerkez 10.1016/j.advwatres.2024.104796
117. Meshless Model for Wave-Induced Oscillatory Seabed Response around a Submerged Breakwater Due to Regular and Irregular Wave Loading D. Jeng et al. 10.3390/jmse9010015
118. Formulation of Wavelet Based Multi‐Scale Multi‐Objective Performance Evaluation (WMMPE) Metric for Improved Calibration of Hydrological Models V. Manikanta & V. Vema 10.1029/2020WR029355
119. A Pareto‐Based Sensitivity Analysis and Multiobjective Calibration Approach for Integrating Streamflow and Evaporation Data P. Yeste et al. 10.1029/2022WR033235
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