90 citations as recorded by crossref.

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4. Research on green water components and potential evaluation framework based on MIKE SHE model – A case study in the Loess Plateau of China L. Wang et al. 10.1016/j.ecolind.2023.110613
5. A sequential experimental design for multivariate sensitivity analysis using polynomial chaos expansion X. Shang et al. 10.1080/0305215X.2019.1651309
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27. Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration S. Gharari et al. 10.5194/hess-18-4839-2014
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29. The role of conceptual hydrologic model calibration in climate change impact on water resources assessment A. Todorovic & J. Plavsic 10.2166/wcc.2015.086
30. Comparison of Hydrological Platforms in Assessing Rainfall-Runoff Behavior in a Mediterranean Watershed of Northern Morocco M. Aqnouy et al. 10.3390/w15030447
31. The predictive performance of process‐explicit range change models remains largely untested D. Uribe‐Rivera et al. 10.1111/ecog.06048
32. 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
33. Neglecting hydrological errors can severely impact predictions of water resource system performance D. McInerney et al. 10.1016/j.jhydrol.2024.130853
34. A Clustering Preprocessing Framework for the Subannual Calibration of a Hydrological Model Considering Climate‐Land Surface Variations T. Lan et al. 10.1029/2018WR023160
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39. Improving Information Extraction From Simulated Discharge Using Sensitivity‐Weighted Performance Criteria B. Guse et al. 10.1029/2019WR025605
40. Assessing uncertainties in surface water security: An empirical multimodel approach D. Rodrigues et al. 10.1002/2014WR016691
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42. 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
43. Determining probability distributions of parameter performances for time-series model calibration: A river system trial S. Kim et al. 10.1016/j.jhydrol.2015.09.073
44. On the lack of robustness of hydrologic models regarding water balance simulation: a diagnostic approach applied to three models of increasing complexity on 20 mountainous catchments L. Coron et al. 10.5194/hess-18-727-2014
45. Assessing the role of uncertain precipitation estimates on the robustness of hydrological model parameters under highly variable climate conditions B. Bisselink et al. 10.1016/j.ejrh.2016.09.003
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47. Comparative assessment of predictions in ungauged basins – Part 3: Runoff signatures in Austria A. Viglione et al. 10.5194/hess-17-2263-2013
48. Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets M. Dembélé et al. 10.1029/2019WR026085
49. 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
50. Bayesian chemistry-assisted hydrograph separation (BACH) and nutrient load partitioning from monthly stream phosphorus and nitrogen concentrations S. Woodward & R. Stenger 10.1007/s00477-018-1612-3
51. Is ET often oversimplified in hydrologic models? Using long records to elucidate unaccounted for controls on ET C. Kelleher & S. Shaw 10.1016/j.jhydrol.2017.12.018
52. Towards more realistic runoff projections by removing limits on simulated soil moisture deficit K. Fowler et al. 10.1016/j.jhydrol.2021.126505
53. Influence of climate and land-use changes on the sensitivity of SWAT model parameters and water availability in a semi-arid river basin A. Sharma et al. 10.1016/j.catena.2022.106298
54. Disaggregated monthly hydrological models can outperform daily models in providing daily flow statistics and extrapolate well to a drying climate A. John et al. 10.1016/j.jhydrol.2021.126471
55. A conceptual, distributed snow redistribution model S. Frey & H. Holzmann 10.5194/hess-19-4517-2015
56. Identifying advantages and drawbacks of two hydrological models based on a sensitivity analysis: a study in two Chilean watersheds V. Parra et al. 10.1080/02626667.2018.1538593
57. Seeking genericity in the selection of parameter sets: Impact on hydrological model efficiency V. Andréassian et al. 10.1002/2013WR014761
58. Assessing the Performance of Two Hydrologic Models for Forecasting Daily Streamflows in the Cazones River Basin (Mexico) F. González-Leiva et al. 10.4236/ojmh.2016.63014
59. Comparison of ensemble data assimilation methods for the estimation of time-varying soil hydraulic parameters K. Liu et al. 10.1016/j.jhydrol.2020.125729
60. Hydrology under change: an evaluation protocol to investigate how hydrological models deal with changing catchments G. Thirel et al. 10.1080/02626667.2014.967248
61. Testing the realism of a topography-driven model (FLEX-Topo) in the nested catchments of the Upper Heihe, China H. Gao et al. 10.5194/hess-18-1895-2014
62. Conceptual modelling to assess the influence of hydro-climatic variability on runoff processes in data scarce semi-arid Andean catchments A. Nauditt et al. 10.1080/02626667.2016.1240870
63. A Multi-Model Nonstationary Rainfall-Runoff Modeling Framework: Analysis and Toolbox M. Sadegh et al. 10.1007/s11269-019-02283-y
64. Modelling time-variant parameters of a two-parameter monthly water balance model C. Deng et al. 10.1016/j.jhydrol.2019.04.027
65. A three-source SVAT modeling of evaporation: Application to the seasonal dynamics of a grassed vineyard C. Montes et al. 10.1016/j.agrformet.2014.02.004
66. Simulating Runoff Under Changing Climatic Conditions: A Framework for Model Improvement K. Fowler et al. 10.1029/2018WR023989
67. Hydrologic modeling in dynamic catchments: A data assimilation approach S. Pathiraja et al. 10.1002/2015WR017192
68. Temporal variation and scaling of parameters for a monthly hydrologic model C. Deng et al. 10.1016/j.jhydrol.2018.01.049
69. Quantifying the Uncertainty Created by Non‐Transferable Model Calibrations Across Climate and Land Cover Scenarios: A Case Study With SWMM A. Sytsma et al. 10.1029/2021WR031603
70. Intercomparison of joint bias correction methods for precipitation and flow from a hydrological perspective K. Kim et al. 10.1016/j.jhydrol.2021.127261
71. Streamflow Simulation in Semiarid Data-Scarce Regions: A Comparative Study of Distributed and Lumped Models at Aguenza Watershed (Morocco) A. Bouadila et al. 10.3390/w15081602
72. A Pareto‐Based Sensitivity Analysis and Multiobjective Calibration Approach for Integrating Streamflow and Evaporation Data P. Yeste et al. 10.1029/2022WR033235
73. Managing water resources in complex tropical basins: tailored SWAT ecohydrological modeling to the Rio das Velhas, Brazil A. Almeida et al. 10.1590/2318-0331.282320230034
74. A framework for seasonal variations of hydrological model parameters: impact on model results and response to dynamic catchment characteristics T. Lan et al. 10.5194/hess-24-5859-2020
75. HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
76. Simulating Runoff and Actual Evapotranspiration via Time-Variant Parameter Method: The Effects of Hydrological Model Structures Z. Pan et al. 10.1061/(ASCE)HE.1943-5584.0002220
77. A Bayesian Hierarchical Framework for Postprocessing Daily Streamflow Simulations across a River Network Á. Ossandón et al. 10.1175/JHM-D-21-0167.1
78. A hydro-climatic approach for extreme flood estimation in mountainous catchments M. Bashirgonbad et al. 10.1007/s13201-024-02149-8
79. A strategy for diagnosing and interpreting hydrological model nonstationarity S. Westra et al. 10.1002/2013WR014719
80. Assessing water system vulnerabilities under changing climate conditions using different representations of a hydrological system A. Sharifinejad et al. 10.1080/02626667.2021.2014057
81. Effect of data length, spin-up period and spatial model resolution on fully distributed hydrological model calibration in the Moselle basin Ö. Ekmekcioğlu et al. 10.1080/02626667.2022.2046754
82. Choosing an arbitrary calibration period for hydrologic models: How much does it influence water balance simulations? D. Myers et al. 10.1002/hyp.14045
83. Process consistency in models: The importance of system signatures, expert knowledge, and process complexity M. Hrachowitz et al. 10.1002/2014WR015484
84. Predicting the ungauged basin: model validation and realism assessment T. van Emmerik et al. 10.3389/feart.2015.00062
85. From marginal to conditional probability functions of parameters in a conceptual rainfall–runoff model: an event-based approach S. Sandoval & J. Bertrand-Krajewski 10.1080/02626667.2019.1635696
86. Ecosystem adaptation to climate change: the sensitivity of hydrological predictions to time-dynamic model parameters L. Bouaziz et al. 10.5194/hess-26-1295-2022
87. Probabilistic Projections of Multidimensional Flood Risks at a Convection‐Permitting Scale B. Zhang et al. 10.1029/2020WR028582
88. Improving a distributed hydrological model using evapotranspiration‐related boundary conditions as additional constraints in a data‐scarce river basin F. Wambura et al. 10.1002/hyp.11453
89. Development of a copula‐based particle filter (CopPF) approach for hydrologic data assimilation under consideration of parameter interdependence Y. Fan et al. 10.1002/2016WR020144
90. 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