65 citations as recorded by crossref.

1. Ten strategies towards successful calibration of environmental models J. Mai 10.1016/j.jhydrol.2023.129414
2. A balanced calibration of water quantity and quality by multi-objective optimization for integrated water system model Y. Zhang et al. 10.1016/j.jhydrol.2016.05.001
3. Application research of multi-objective Artificial Bee Colony optimization algorithm for parameters calibration of hydrological model J. Huo & L. Liu 10.1007/s00521-018-3483-4
4. Multiobjective sensitivity analysis and optimization of distributed hydrologic model MOBIDIC J. Yang et al. 10.5194/hess-18-4101-2014
5. Efficient Calibration of Groundwater Contaminant Transport Models Using Bayesian Optimization H. Deng et al. 10.3390/toxics11050438
6. Modeling risk analysis for forecasting peak discharge during flooding prevention and warning operation S. Wu et al. 10.1007/s00477-010-0436-6
7. An experimental approach to reduce the parametric dimensionality for rainfall–runoff models J. Chen et al. 10.2166/nh.2016.145
8. Climate change and probabilistic scenario of streamflow extremes in an alpine region T. Yang et al. 10.1002/2014JD021824
9. Use of a scenario-neutral approach to identify the key hydro-meteorological attributes that impact runoff from a natural catchment D. Guo et al. 10.1016/j.jhydrol.2017.09.021
10. Development of a “nature run” for observing system simulation experiments (OSSEs) for snow mission development 10.1175/JHM-D-21-0071.1
11. Evaluation Method of Multiobjective Functions’ Combination and Its Application in Hydrological Model Evaluation J. Huo & L. Liu 10.1155/2020/8594727
12. A new stopping criterion for multi-objective evolutionary algorithms: application in the calibration of a hydrologic model J. Gutierrez et al. 10.1007/s10596-019-09870-3
13. A Dynamic Calibration of Optical Fiber DTS Measurements Using PEST and Reference Thermometers Y. Ghafoori et al. 10.3390/s22103890
14. Improving the integrated hydrological simulation on a data-scarce catchment with multi-objective calibration Q. He & F. Molkenthin 10.2166/hydro.2021.132
15. Probabilistic Predictions of Ecologically Relevant Hydrologic Indices Using a Hydrological Model J. Hernandez‐Suarez & A. Nejadhashemi 10.1029/2021WR031104
16. Uncertainty-based multi-criteria calibration of rainfall-runoff models: a comparative study M. Shafii et al. 10.1007/s00477-014-0855-x
17. A parameter allocation approach for flow simulation using the WetSpa‐Python model A. Bahremand et al. 10.1002/hyp.13992
18. Developing heuristic multi-criteria auto calibration method for continuous HEC-HMS in snow-affected catchment A. Dariane et al. 10.1080/15715124.2019.1576696
19. Comparing single and multi-objective hydrologic model calibration considering reservoir inflow and streamflow observations J. Bomhof et al. 10.1080/07011784.2019.1623077
20. Multi-site calibration, validation, and sensitivity analysis of the MIKE SHE Model for a large watershed in northern China S. Wang et al. 10.5194/hess-16-4621-2012
21. History matching of surfactant-polymer flooding using polynomial chaos expansion P. Naik et al. 10.1016/j.petrol.2018.09.089
22. Towards a more consistent eco-hydrological modelling through multi-objective calibration: a case study in the Andean Vilcanota River basin, Peru C. Fernandez-Palomino et al. 10.1080/02626667.2020.1846740
23. Multi-objective autocalibration of SWAT model for improved low flow performance for a small snowfed catchment V. Chilkoti et al. 10.1080/02626667.2018.1505047
24. Large-watershed flood forecasting with high-resolution distributed hydrological model Y. Chen et al. 10.5194/hess-21-735-2017
25. Extending flood forecasting lead time in a large watershed by coupling WRF QPF with a distributed hydrological model J. Li et al. 10.5194/hess-21-1279-2017
26. Identification of a Function to Fit the Flow Duration Curve and Parameterization of a Semi-Arid Region in North China L. Ma et al. 10.3390/atmos14010116
27. An Improved Multi-Objective Artificial Bee Colony Optimization Algorithm with Regulation Operators J. Huo & L. Liu 10.3390/info8010018
28. Development of a Multi-Site Calibration Module of Distributed Model - The Case of GRM - Y. Choi et al. 10.11108/kagis.2012.15.3.103
29. A multi-objective ensemble approach to hydrological modelling in the UK: an application to historic drought reconstruction K. Smith et al. 10.5194/hess-23-3247-2019
30. Comparative research of optimization algorithms for parameters calibration of watershed hydrological model J. Huo et al. 10.3233/JCM-160647
31. Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives M. Shafii & B. Tolson 10.1002/2014WR016520
32. ESTIMATION OF THE RIVER BANKFULL DEPTH BY THE INTEGRATION OF A SATELLITE OBSERVATION AND A RIVER ROUTING MODEL T. SHIOZAWA & D. YAMAZAKI 10.2208/jscejhe.75.2_I_259
33. Multi-objective automatic calibration of hydrodynamic models utilizing inundation maps and gauge data N. Dung et al. 10.5194/hess-15-1339-2011
34. A Bayesian alternative for multi-objective ecohydrological model specification Y. Tang et al. 10.1016/j.jhydrol.2017.07.040
35. Considering flood scaling property in multi-objective calibration of the SWAT model: a case study in Zijinguan watershed, Northern China Y. Zheng et al. 10.1007/s11069-023-05859-5
36. Improved modeling of snow and glacier melting by a progressive two‐stage calibration strategy with GRACE and multisource data: How snow and glacier meltwater contributes to the runoff of the Upper Brahmaputra River basin? X. Chen et al. 10.1002/2016WR019656
37. Reducing structural uncertainty in conceptual hydrological modelling in the semi-arid Andes P. Hublart et al. 10.5194/hess-19-2295-2015
38. Toward effective many-objective optimization: Rounded-archiving S. Sahraei et al. 10.1016/j.envsoft.2019.104535
39. Investigating the Role of Hydrological Model Parameter Uncertainties in Future Streamflow Projections V. Chilkoti et al. 10.1061/(ASCE)HE.1943-5584.0001994
40. Multi-Objective Sensitivity Analysis of a Fully Distributed Hydrologic Model WetSpa J. Yang et al. 10.1007/s11269-011-9908-9
41. Comparison of the Calibrated Objective Functions for Low Flow Simulation in a Semi-Arid Catchment X. Yang et al. 10.3390/w14172591
42. A method of optimization for the distorted model of star map based on improved genetic algorithm Q. Wei et al. 10.1016/j.ast.2010.06.004
43. Using Densely Distributed Soil Moisture Observations for Calibration of a Hydrologic Model A. Thorstensen et al. 10.1175/JHM-D-15-0071.1
44. Comparing multi-objective optimization techniques to calibrate a conceptual hydrological model using in situ runoff and daily GRACE data A. Mostafaie et al. 10.1007/s10596-018-9726-8
45. Parallelization of AMALGAM algorithm for a multi-objective optimization of a hydrological model A. Besalatpour et al. 10.1007/s13201-023-02047-5
46. Improving flood forecasting capability of physically based distributed hydrological models by parameter optimization Y. Chen et al. 10.5194/hess-20-375-2016
47. Evaluating a Continuous Hydrological Model’s Ability to Simulate Peak Flows with Short Time Step (Case Study: Zoshk Basin-Mashhad) S. Mashari Eshghabad et al. 10.29252/jwmr.8.16.1
48. Parameter Identification of the 2-Chlorophenol Oxidation Model Using Improved Differential Search Algorithm G. Chen et al. 10.1155/2015/313105
49. Multi-objective calibration of the physically based, spatially distributed SHETRAN hydrological model R. Zhang et al. 10.2166/hydro.2015.219
50. Assessing the Potential Robustness of Conceptual Rainfall‐Runoff Models Under a Changing Climate D. Guo et al. 10.1029/2018WR022636
51. Multi-objective calibration of Tank model using multiple genetic algorithms and stopping criteria J. Gutierrez et al. 10.1590/2318-0331.272220220046
52. The 3DNet-Catch hydrologic model: Development and evaluation A. Todorović et al. 10.1016/j.jhydrol.2018.10.040
53. Moving beyond run‐off calibration—Multivariable optimization of a surface–subsurface–atmosphere model S. Stisen et al. 10.1002/hyp.13177
54. Trade-offs and responsiveness of the single-layer urban canopy parametrization in WRF: An offline evaluation using the MOSCEM optimization algorithm and field observations T. Loridan et al. 10.1002/qj.614
55. Multi‐site calibration using a grid‐based event rainfall–runoff model: a case study of the upstream areas of the Nakdong River basin in Korea Y. Choi et al. 10.1002/hyp.10355
56. Comparing the Hydrological Responses of Conceptual and Process-Based Models with Varying Rain Gauge Density and Distribution Z. Yin et al. 10.3390/su10093209
57. Addressing subjective decision-making inherent in GLUE-based multi-criteria rainfall–runoff model calibration M. Shafii et al. 10.1016/j.jhydrol.2015.01.051
58. Identifying Key Hydrological Processes in Highly Urbanized Watersheds for Flood Forecasting with a Distributed Hydrological Model H. Wang & Y. Chen 10.3390/w11081641
59. Design and implementation of a general software library for using NSGA-II with SWAT for multi-objective model calibration M. Ercan & J. Goodall 10.1016/j.envsoft.2016.06.017
60. Exploring the multiscale hydrologic regulation of multipond systems in a humid agricultural catchment W. Chen et al. 10.1016/j.watres.2020.115987
61. Modeling the spatiotemporal variability in subsurface thermal regimes across a low-relief polygonal tundra landscape J. Kumar et al. 10.5194/tc-10-2241-2016
62. Evaluating Autoselection Methods Used for Choosing Solutions from Pareto-Optimal Set: Does Nondominance Persist from Calibration to Validation Phase? G. Dumedah et al. 10.1061/(ASCE)HE.1943-5584.0000389
63. Improving process representation in conceptual hydrological model calibration using climate simulations M. Minville et al. 10.1002/2013WR013857
64. Selecting Model Parameter Sets from a Trade-off Surface Generated from the Non-Dominated Sorting Genetic Algorithm-II G. Dumedah et al. 10.1007/s11269-010-9668-y
65. A review and evaluation of multi and many-objective optimization: Methods and algorithms K. Farzane & D. Alireza B 10.17352/gje.000070