82 citations as recorded by crossref.

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3. Characterization of soil moisture response patterns and hillslope hydrological processes through a self-organizing map E. Lee & S. Kim 10.5194/hess-25-5733-2021
4. Performance assessment of nitrate leaching models for highly vulnerable soils used in low-input farming based on lysimeter data P. Groenendijk et al. 10.1016/j.scitotenv.2014.07.002
5. Predicting event response in a nested catchment with generalized linear models and a distributed watershed model T. Graeff et al. 10.1002/hyp.8463
6. Statistics for sample splitting for the calibration and validation of hydrological models D. Liu et al. 10.1007/s00477-018-1539-8
7. The Value of Hydrograph Partitioning Curves for Calibrating Hydrological Models in Glacierized Basins Z. He et al. 10.1002/2017WR021966
8. Detection of dominant nitrate processes in ecohydrological modeling with temporal parameter sensitivity analysis M. Haas et al. 10.1016/j.ecolmodel.2015.07.009
9. When monstrosity can be beautiful while normality can be ugly: assessing the performance of event-based flood models R. Moussa 10.1080/02626667.2010.505893
10. Improving Information Extraction From Simulated Discharge Using Sensitivity‐Weighted Performance Criteria B. Guse et al. 10.1029/2019WR025605
11. Fostering integrated land and water management approaches: Evaluating the water footprint of a Mediterranean basin under different agricultural land use scenarios G. Salmoral et al. 10.1016/j.landusepol.2016.09.027
12. Analysis of rainfall intensity impact on the lag time estimation in tropical humid rivers e. Seyam 10.21833/ijaas.2017.010.003
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14. A comprehensive evaluation of calibration strategies for flood prediction in a large catchment using HEC-HMS N. Kalakuntla & N. Umamahesh 10.1007/s40808-024-02276-w
15. From maps to movies: high-resolution time-varying sensitivity analysis for spatially distributed watershed models J. Herman et al. 10.5194/hess-17-5109-2013
16. When is a hydrological model sufficiently calibrated to depict flow preferences of riverine species? J. Kiesel et al. 10.1002/eco.2193
17. Probabilistic flood forecasting for a mountainous headwater catchment using a nonparametric stochastic dynamic approach A. Costa et al. 10.1080/02626667.2011.637043
18. Disentangling the Effects of Temperature, Moisture, and Substrate Availability on Soil CO2 Efflux B. Mitra et al. 10.1029/2019JG005148
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22. Estimation of Daily Streamflow of Southeastern Coastal Plain Watersheds by Combining Estimated Magnitude and Sequence H. Ssegane et al. 10.1111/jawr.12077
23. On the role of patterns in understanding the functioning of soil-vegetation-atmosphere systems H. Vereecken et al. 10.1016/j.jhydrol.2016.08.053
24. Integrating isolated and riparian wetland modules in the PHYSITEL/HYDROTEL modelling platform: model performance and diagnosis M. Fossey et al. 10.1002/hyp.10534
25. Modelling biocide and herbicide concentrations in catchments of the Rhine basin A. Moser et al. 10.5194/hess-22-4229-2018
26. Exploiting remote sensing land surface temperature in distributed hydrological modelling: the example of the Continuum model F. Silvestro et al. 10.5194/hess-17-39-2013
27. Testing copula regression against benchmark models for point and interval estimation of tree wood volume in beech stands F. Serinaldi et al. 10.1007/s10342-012-0600-2
28. Towards a new generation of high-resolution meteorological input data for small-scale hydrologic modeling S. Leimer et al. 10.1016/j.jhydrol.2011.03.026
29. Hydrograph matching method for measuring model performance J. Ewen 10.1016/j.jhydrol.2011.07.038
30. How to Constrain Multi‐Objective Calibrations of the SWAT Model Using Water Balance Components M. Pfannerstill et al. 10.1111/1752-1688.12524
31. Multi-period calibration of a semi-distributed hydrological model based on hydroclimatic clustering H. Zhang et al. 10.1016/j.advwatres.2011.06.005
32. Incorporating channel network information in hydrologic response modelling: Development of a model and inter-model comparison B. Biswal & R. Singh 10.1016/j.advwatres.2016.12.015
33. On characterizing the temporal dominance patterns of model parameters and processes B. Guse et al. 10.1002/hyp.10764
34. Using high‐resolution isotope data and alternative calibration strategies for a tracer‐aided runoff model in a nested catchment C. Tunaley et al. 10.1002/hyp.11313
35. Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration M. Demirel et al. 10.3390/w11102083
36. Modeling Land-Use and Land-Cover Change and Hydrological Responses under Consistent Climate Change Scenarios in the Heihe River Basin, China L. Zhang et al. 10.1007/s11269-015-1085-9
37. Calibration Parameter Selection and Watershed Hydrology Model Evaluation in Time and Frequency Domains K. Kumarasamy & P. Belmont 10.3390/w10060710
38. A review of efficiency criteria suitable for evaluating low-flow simulations R. Pushpalatha et al. 10.1016/j.jhydrol.2011.11.055
39. Reflection of Daily, Seasonal and Interannual Variations in Run-Off of a Small River in the Water Isotopic Composition (δ2H, δ18O): A Case of the Ala-Archa Mountain River Basin with Glaciation (Kyrgyzstan, Central Asia) I. Tokarev et al. 10.3390/w16111632
40. Ideal point error for model assessment in data-driven river flow forecasting C. Dawson et al. 10.5194/hess-16-3049-2012
41. Representative parameter estimation for hydrological models using a lexicographic calibration strategy M. Gelleszun et al. 10.1016/j.jhydrol.2017.08.015
42. Assessing parameter identifiability for multiple performance criteria to constrain model parameters B. Guse et al. 10.1080/02626667.2020.1734204
43. A Model Combination Approach for Improving Streamflow Prediction A. Kadu & B. Biswal 10.1007/s11269-022-03336-5
44. Demasking the integrated information of discharge: Advancing sensitivity analysis to consider different hydrological components and their rates of change B. Guse et al. 10.1002/2016WR018894
45. Characterising performance of environmental models N. Bennett et al. 10.1016/j.envsoft.2012.09.011
46. Process verification of a hydrological model using a temporal parameter sensitivity analysis M. Pfannerstill et al. 10.5194/hess-19-4365-2015
47. Flood and drought hydrologic monitoring: the role of model parameter uncertainty N. Chaney et al. 10.5194/hess-19-3239-2015
48. Effects of hydrologic conditions on SWAT model performance and parameter sensitivity for a small, mixed land use catchment in New Zealand W. Me et al. 10.5194/hess-19-4127-2015
49. Evaluating multiple performance criteria to calibrate the distributed hydrological model of the upper Neckar catchment T. Wöhling et al. 10.1007/s12665-013-2306-2
50. Combined use of heat and saline tracer to estimate aquifer properties in a forced gradient test N. Colombani et al. 10.1016/j.jhydrol.2015.04.026
51. Diagnostic evaluation of conceptual rainfall–runoff models using temporal clustering N. de Vos et al. 10.1002/hyp.7698
52. Sensitivity and identifiability analysis of a conceptual-lumped model in the headwaters of the Benue River Basin, Cameroon: implications for uncertainty quantification and parameter optimization R. Nonki et al. 10.2166/nh.2023.243
53. Performance evaluation of hydrological models: Statistical significance for reducing subjectivity in goodness-of-fit assessments A. Ritter & R. Muñoz-Carpena 10.1016/j.jhydrol.2012.12.004
54. Disentangling timing and amplitude errors in streamflow simulations S. Seibert et al. 10.5194/hess-20-3745-2016
55. Controls on the diurnal streamflow cycles in two subbasins of an alpine headwater catchment R. Mutzner et al. 10.1002/2014WR016581
56. Impact of missing precipitation values on hydrological model output: a case study from the Eddleston Water catchment, Scotland S. Ruman et al. 10.1007/s11600-020-00409-0
57. The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset G. Ayzel & M. Heistermann 10.1016/j.cageo.2021.104708
58. Inferring model structural deficits by analyzing temporal dynamics of model performance and parameter sensitivity D. Reusser & E. Zehe 10.1029/2010WR009946
59. Comparing expert judgement and numerical criteria for hydrograph evaluation L. Crochemore et al. 10.1080/02626667.2014.903331
60. Spatiotemporal Variations of Chinese Terrestrial Ecosystems in Response to Land Use and Future Climate Change S. Li et al. 10.3390/atmos13071024
61. Impact of EMD decomposition and random initialisation of weights in ANN hindcasting of daily stream flow series: An empirical examination G. Napolitano et al. 10.1016/j.jhydrol.2011.06.015
62. Multiobjective Automatic Parameter Calibration of a Hydrological Model D. Jung et al. 10.3390/w9030187
63. Comparison of hydrological model structures based on recession and low flow simulations M. Staudinger et al. 10.5194/hess-15-3447-2011
64. Increasing parameter identifiability through clustered time-varying sensitivity analysis L. Wang et al. 10.1016/j.envsoft.2024.106189
65. RBFNN Versus Empirical Models for Lag Time Prediction in Tropical Humid Rivers M. Seyam et al. 10.1007/s11269-016-1518-0
66. Validation of hydrological models: Conceptual basis, methodological approaches and a proposal for a code of practice D. Biondi et al. 10.1016/j.pce.2011.07.037
67. Streamflow Predictions in a Small Urban–Rural Watershed: The Effects of Radar Rainfall Resolution and Urban Rainfall–Runoff Dynamics L. Grimley et al. 10.3390/atmos11080774
68. Improved Estimators of Model Performance Efficiency for Skewed Hydrologic Data J. Lamontagne et al. 10.1029/2020WR027101
69. The potential of coordinated reservoir operation for flood mitigation in large basins – A case study on the Bavarian Danube using coupled hydrological–hydrodynamic models S. Seibert et al. 10.1016/j.jhydrol.2014.06.048
70. Integrating point glacier mass balance observations into hydrologic model identification B. Schaefli & M. Huss 10.5194/hess-15-1227-2011
71. A ranking system for comparing models' performance combining multiple statistical criteria and scenarios: The case of reference evapotranspiration models V. Aschonitis et al. 10.1016/j.envsoft.2019.01.005
72. How to improve the representation of hydrological processes in SWAT for a lowland catchment – temporal analysis of parameter sensitivity and model performance B. Guse et al. 10.1002/hyp.9777
73. Examining subsurface response to an extreme precipitation event using HYDRUS‐1D C. Corona & S. Ge 10.1002/vzj2.20189
74. Development of statistical models for at‐site probabilistic seasonal rainfall forecast G. Villarini & F. Serinaldi 10.1002/joc.3393
75. The Abuse of Popular Performance Metrics in Hydrologic Modeling M. Clark et al. 10.1029/2020WR029001
76. Series distance – an intuitive metric to quantify hydrograph similarity in terms of occurrence, amplitude and timing of hydrological events U. Ehret & E. Zehe 10.5194/hess-15-877-2011
77. In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance M. Gauch et al. 10.1029/2022WR033918
78. Analysing spatio-temporal process and parameter dynamics in models to characterise contrasting catchments B. Guse et al. 10.1016/j.jhydrol.2018.12.050
79. Hydrological model performance and parameter estimation in the wavelet-domain B. Schaefli & E. Zehe 10.5194/hess-13-1921-2009
80. Mapping model behaviour using Self-Organizing Maps M. Herbst et al. 10.5194/hess-13-395-2009
81. Parsimonious hydrological modeling of urban sewer and river catchments S. Coutu et al. 10.1016/j.jhydrol.2012.07.039
82. A wavelet-based approach to assessing timing errors in hydrologic predictions Y. Liu et al. 10.1016/j.jhydrol.2010.11.040