66 citations as recorded by crossref.

1. Groundwater contamination sources identification based on the Long-Short Term Memory network J. Li et al.
2. Interactive Visualization for Evolutionary Optimization of Conceptual Rainfall-Streamflow Models M. Borthwick et al.
3. Parameter estimation and uncertainty analysis in hydrological modeling P. Herrera et al.
4. Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions H. Maier et al.
5. Stormwater Detention System Parameter Sensitivity and Uncertainty Analysis Using SWMM J. Knighton et al.
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8. Applying ANN emulators in uncertainty assessment of flood inundation modelling: a comparison of two surrogate schemes J. Yu et al.
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11. Predictive uncertainty of a nearshore bed evolution model B. Ruessink
12. Solving Inverse Problems of Unknown Contaminant Source in Groundwater-River Integrated Systems Using a Surrogate Transport Model Based Optimization A. Jamshidi et al.
13. Effect of different likelihood measures on parameter conditioning and model uncertainty F. Baig et al.
14. Computational intelligence methods for the efficient reliability analysis of complex flood defence structures G. Kingston et al.
15. Uncertainty analysis of linear and non-linear regression models in the modeling of water quality in the Caspian Sea basin: Application of Monte-Carlo method S. Masteali et al.
16. An Adaptive Surrogate-Assisted Simulation-Optimization Method for Identifying Release History of Groundwater Contaminant Sources M. Wu et al.
17. Bayesian uncertainty analysis in hydrological modeling associated with watershed subdivision level: a case study of SLURP model applied to the Xiangxi River watershed, China J. Han et al.
18. Uncertainty evaluation of multivariate quantities: A case study on electrical impedance P. Ramos et al.
19. Multiobjective optimization of the groundwater exploitation layout in coastal areas based on multiple surrogate models Y. Fan et al.
20. A comparative analysis of auto-calibration strategies for the urban hydrologic model Y. Feng et al.
21. A coupled ensemble filtering and probabilistic collocation approach for uncertainty quantification of hydrological models Y. Fan et al.
22. Parametric uncertainty assessment in hydrological modeling using the generalized polynomial chaos expansion J. Hu et al.
23. Metamodel-assisted analysis of an integrated model composition: An example using linked surface water – groundwater models V. Christelis & A. Hughes
24. Comparison of Long Short-Term Memory and Weighted Regressions on Time, Discharge, and Season Models for Nitrate-N Load Estimation K. Jung et al.
25. Groundwater Management and Allocation Models: A Review K. Norouzi Khatiri et al.
26. Enhancing interpretability and generalizability of deep learning-based emulator in three-dimensional lake hydrodynamics using Koopman operator and transfer learning: Demonstrated on the example of lake Zurich W. Tian et al.
27. Multiobjective calibration with Pareto preference ordering: An application to rainfall‐runoff model calibration S. Khu & H. Madsen
28. Comparison of Two Bayesian-MCMC Inversion Methods for Laboratory Infiltration and Field Irrigation Experiments Q. Guo et al.
29. Hydrogeophysical Parameter Estimation Using Iterative Ensemble Smoothing and Approximate Forward Solvers C. Köpke et al.
30. Adaptive surrogate modeling for optimization of flood control detention dams J. Yazdi & S. Salehi Neyshabouri
31. Efficient prediction uncertainty approximation in the calibration of environmental simulation models B. Tolson & C. Shoemaker
32. A fuzzy rule based metamodel for monthly catchment nitrate fate simulations S. van der Heijden & U. Haberlandt
33. The reliability of an ‘off‐the‐shelf’ conceptual rainfall runoff model for use in climate impact assessment: uncertainty quantification using Latin hypercube sampling C. Murphy et al.
34. Assessing and Improving the Robustness of Bayesian Evidential Learning in One Dimension for Inverting Time-Domain Electromagnetic Data: Introducing a New Threshold Procedure A. Ahmed et al.
35. An improved Bayesian approach linked to a surrogate model for identifying groundwater pollution sources Y. An et al.
36. Artificial neural network assisted Bayesian calibration of climate models T. Hauser et al.
37. Groundwater Response of Loess Tableland in Northwest China under Irrigation Conditions F. Dai & Q. Guo
38. Application of Artificial Neural Networks Based Monte Carlo Simulation in the Expert System Design and Control of Crude Oil Distillation Column of a Nigerian Refinery L. Popoola & A. Susu
39. On the use of surrogate-based modeling for the numerical analysis of Low Impact Development techniques G. Brunetti et al.
40. A novel approach to parameter uncertainty analysis of hydrological models using neural networks D. Shrestha et al.
41. Telescoping strategies for improved parameter estimation of environmental simulation models L. Matott et al.
42. Review: Sources of Hydrological Model Uncertainties and Advances in Their Analysis E. Moges et al.
43. A comprehensive strategy for modeling watershed restoration priority areas under epistemic uncertainty: A case study in the Atlantic Forest, Brazil I. Possantti et al.
44. Uncertainty in a monthly water balance model using the generalized likelihood uncertainty estimation methodology D. Rivera et al.
45. Surrogate modeling and risk-based analysis for solute transport simulations E. Arandia et al.
46. Ensemble model aggregation using a computationally lightweight machine-learning model to forecast ocean waves F. O’Donncha et al.
47. Exploratory modeling for analyzing coupled human-natural systems under uncertainty E. Moallemi et al.
48. GLUE: 20 years on K. Beven & A. Binley
49. Robust Data Worth Analysis with Surrogate Models M. Gosses & T. Wöhling
50. Kriging meta‐model assisted calibration of computational fluid dynamics models O. Kajero et al.
51. On uncertainty quantification in hydrogeology and hydrogeophysics N. Linde et al.
52. An agent-monitored framework for the output-oriented design of experiments in exploratory modelling E. Moallemi et al.
53. Performance evaluation, sensitivity, and uncertainty analysis of HBV model in Wami Ruvu basin, Tanzania N. Tibangayuka et al.
54. Identifying the release history of a groundwater contaminant source based on an ensemble surrogate model Z. Xing et al.
55. Parameter identification and calibration of the Xin’anjiang model using the surrogate modeling approach Y. Ye et al.
56. Evaluation of Four GLUE Likelihood Measures and Behavior of Large Parameter Samples in ISPSO-GLUE for TOPMODEL H. Cho et al.
57. Review of surrogate modeling in water resources S. Razavi et al.
58. Advances in the study of uncertainty quantification of large-scale hydrological modeling system X. Song et al.
59. Long-term increase in diffuse groundwater recharge following expansion of rainfed cultivation in the Sahel, West Africa M. Ibrahim et al.
60. Estimating uncertainty in flood model outputs using machine learning informed by Monte Carlo analysis M. Nguyen et al.
61. Numerical assessment of metamodelling strategies in computationally intensive optimization S. Razavi et al.
62. Discussion of “Automatic Calibration of the U.S. EPA SWMM Model for a Large Urban Catchment” by J. Barco, K. M. Wong, and M. K. Stenstrom J. Ball
63. Assessing uncertainty propagation in hybrid models for daily streamflow simulation based on arbitrary polynomial chaos expansion P. Zhou et al.
64. Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness? D. Birhanu et al.
65. Robust optimization of subsurface flow using polynomial chaos and response surface surrogates M. Babaei et al.
66. Can a regionalized model parameterisation be improved with a limited number of runoff measurements? D. Viviroli & J. Seibert