134 citations as recorded by crossref.

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2. Comprehensive sensitivity analysis and process risk assessment of large scale pharmaceutical crystallization processes M. Öner et al. 10.1016/j.compchemeng.2020.106746
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10. Identification of parameter importance for benzene transport in the unsaturated zone using global sensitivity analysis M. Cohen et al. 10.5194/hess-28-1585-2024
11. Prediction and interpretation of pathogenic bacteria occurrence at a recreational beach using data-driven algorithms J. Jang et al. 10.1016/j.ecoinf.2023.102370
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15. Estimation of water provision service for monsoon catchments of South China: Applicability of the InVEST model D. Yang et al. 10.1016/j.landurbplan.2018.10.011
16. Sensitivity analysis of machining accuracy of multi-axis machine tool based on POE screw theory and Morris method Q. Cheng et al. 10.1007/s00170-015-7791-x
17. Sensitivity analysis of Repast computational ecology models with R/Repast A. Prestes García & A. Rodríguez‐Patón 10.1002/ece3.2580
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20. Dimensionality reduction and identification of valid parameter bounds for the efficient calibration of automated driving functions N. Fraikin et al. 10.1007/s41104-019-00043-z
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22. Employing sensitivity analysis to catchments having scanty data S. Nabi et al. 10.1007/s11356-022-20514-5
23. Component Combination Test to Investigate Improvement of the IHACRES and GR4J Rainfall–Runoff Models M. Shin & C. Kim 10.3390/w13152126
24. Evaluation of the ecological sensitivity and security of tidal flats in Shanghai Y. Shi et al. 10.1016/j.ecolind.2017.11.033
25. Investigating the potential of Morris algorithm for improving the computational constraints of global sensitivity analysis S. Nabi et al. 10.1007/s11356-021-14994-0
26. Geospatial understanding of climate parameters within watershed boundaries of India F. Ahmad & L. Goparaju 10.1007/s41324-020-00323-z
27. Uncertainty Decomposition to Understand the Influence of Water Systems Model Error in Climate Vulnerability Assessments S. Steinschneider et al. 10.1029/2022WR032349
28. Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method Y. Fan et al. 10.1016/j.envsoft.2016.09.012
29. Combining the Morris method and multiple error metrics to assess aquifer characteristics and recharge in the lower Ticino Basin, in Italy E. Baker et al. 10.1016/j.jhydrol.2022.128536
30. The temporal variations in runoff-generation parameters of the Xinanjiang model due to human activities: A case study in the upper Yangtze River Basin, China X. Zhang et al. 10.1016/j.ejrh.2021.100910
31. Parameter Sensitivity Analysis for Computationally Intensive Spatially Distributed Dynamical Environmental Systems Models X. Huo et al. 10.1029/2018MS001573
32. Index System of Water Resources Development and Utilization Level Based on Water-Saving Society C. Dai et al. 10.3390/w14050802
33. Sensitivity analysis of simulated Lycium barbarum L. yield in the WOFOST model under different climate conditions Z. Wang et al. 10.1016/j.ecolmodel.2023.110602
34. Identifying Dominant Processes in Time and Space: Time‐Varying Spatial Sensitivity Analysis for a Grid‐Based Nitrate Model S. Wu et al. 10.1029/2021WR031149
35. Parameter space exploration for the probabilistic damage stability method for dry cargo ships B. Milatz et al. 10.1016/j.ijnaoe.2023.100549
36. Inversion of hydrogeological parameters based on an adaptive dynamic surrogate model Y. Liu et al. 10.1007/s10040-022-02493-6
37. Sensitivity analysis of a 2D flood inundation model. A case study of Tous Dam A. Ullah et al. 10.1007/s12665-024-11500-w
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39. Sensitivity Analysis to Investigate the Reliability of the Grid-Based Rainfall-Runoff Model M. Shin & Y. Choi 10.3390/w10121839
40. A framework for 2-stage global sensitivity analysis of GastroPlus™ compartmental models M. Scherholz et al. 10.1007/s10928-018-9573-1
41. Site-specific herbicide spraying can control weeds as well as full spraying in the long-term. A simulation study T. Maillot et al. 10.1016/j.compag.2023.108338
42. A Deep Neural Network Approach to Predict Overlay Thickness of Asphalt Pavements Using Deflection Parameters and Estimated Traffic A. Haridas et al. 10.1061/JPEODX.0000388
43. Coordination and control – limits in standard representations of multi-reservoir operations in hydrological modeling C. Rougé et al. 10.5194/hess-25-1365-2021
44. Modelling the performance of an integrated fixed-film activated sludge (IFAS) system: a systematic approach to automated calibration D. Pryce et al. 10.1038/s41598-022-13779-w
45. Global sensitivity analysis of a three-dimensional nutrients-algae dynamic model for a large shallow lake X. Yi et al. 10.1016/j.ecolmodel.2016.01.005
46. Prediction of atmospheric pollutants in urban environment based on coupled deep learning model and sensitivity analysis S. Wang et al. 10.1016/j.chemosphere.2023.138830
47. Fast assimilation of frequently acquired 4D seismic data for reservoir history matching Z. Yin et al. 10.1016/j.cageo.2019.04.001
48. Guidance on evaluating parametric model uncertainty at decision-relevant scales J. Smith et al. 10.5194/hess-26-2519-2022
49. Sensitivity of hydrologic and geologic parameters on recharge processes in a highly heterogeneous, semi-confined aquifer system S. Maples et al. 10.5194/hess-24-2437-2020
50. Assessment of the suitability of rainfall–runoff models by coupling performance statistics and sensitivity analysis M. Shin & C. Kim 10.2166/nh.2016.129
51. Comprehensive multivariate sensitivity analysis of CFD-DEM simulations: Critical model parameters and their impact on fluidization hydrodynamics A. Bakshi et al. 10.1016/j.powtec.2018.06.049
52. Similarities and differences in the sensitivity of soil organic matter (SOM) dynamics to biogeochemical parameters for different vegetation inputs and climates G. Ceriotti et al. 10.1007/s00477-020-01868-z
53. An Agent-Based Model of a Sustainable Forest Operation in a Theoretical Lowland Dipterocarp Forest Modeled after Mount Makiling Forest Reserve, Philippines Z. Arnejo et al. 10.3390/f14020428
54. Calculator to Estimate Annual Infiltration Performance of Roadside Swales M. García-Serrana et al. 10.1061/(ASCE)HE.1943-5584.0001650
55. Sensitivity of seismic response of pile-supported, multi-span viaduct bridges to interaction between soil-foundation and structural parameters M. Chaudhary 10.1007/s41062-023-01145-2
56. ADDI-Spraydrift: A comprehensive model of pesticide spray drift with an assessment in vineyards M. Djouhri et al. 10.1016/j.biosystemseng.2023.05.008
57. Global sensitivity analysis of parameter uncertainty in landscape evolution models C. Skinner et al. 10.5194/gmd-11-4873-2018
58. Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models O. Rakovec et al. 10.1002/2013WR014063
59. Global evaluation and sensitivity analysis of a physically based flow and reactive transport model on a laboratory experiment L. Gatel et al. 10.1016/j.envsoft.2018.12.006
60. Temporal and spatial scaling effects of parameter sensitivity in relation to non-point source pollution simulation L. Chen et al. 10.1016/j.jhydrol.2019.01.045
61. Sub-Watershed Parameter Transplantation Method for Non-Point Source Pollution Estimation in Complex Underlying Surface Environment X. Chen et al. 10.3390/land10121387
62. Insights on geologic and vegetative controls over hydrologic behavior of a large complex basin – Global Sensitivity Analysis of an integrated parallel hydrologic model V. Srivastava et al. 10.1016/j.jhydrol.2014.10.020
63. Sensitivity analysis in a radiological impact assessment of a nuclear power plant discharge. A comparison of the Morris, Spearman and Sobol’ approaches V. Nicoulaud-Gouin et al. 10.1016/j.jenvrad.2021.106770
64. Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications X. Song et al. 10.1016/j.jhydrol.2015.02.013
65. A dual-continuum model (TOUGH2) for characterizing flow and discharge in a mechanically disrupted sandstone overburden D. Bedoya-Gonzalez et al. 10.1007/s10040-022-02507-3
66. A coupled ensemble filtering and probabilistic collocation approach for uncertainty quantification of hydrological models Y. Fan et al. 10.1016/j.jhydrol.2015.09.035
67. Global sensitivity analysis of an energy–economy model of the residential building sector F. Branger et al. 10.1016/j.envsoft.2015.03.021
68. Techniques for Multilevel Design Optimization of Permanent Magnet Motors G. Lei et al. 10.1109/TEC.2015.2444434
69. A PCM-based stochastic hydrological model for uncertainty quantification in watershed systems Y. Fan et al. 10.1007/s00477-014-0954-8
70. Portfolio optimization for seed selection in diverse weather scenarios O. Marko et al. 10.1371/journal.pone.0184198
71. Stable expression and control parameters in the numerical simulation of unsaturated flow Z. Zhang et al. 10.1007/s11709-022-0893-2
72. Global sensitivity study of non-reactive and sorptive solute dispersivity in multiscale heterogeneous sediments W. Ren et al. 10.1016/j.jhydrol.2023.129274
73. Applying a Global Sensitivity Analysis Workflow to Improve the Computational Efficiencies in Physiologically-Based Pharmacokinetic Modeling N. Hsieh et al. 10.3389/fphar.2018.00588
74. Parametric sensitivity analysis as an essential ingredient of spectroscopic ellipsometry data modeling: An application of the Morris screening method D. Likhachev 10.1063/1.5126074
75. Rainstorm Magnitude Likely Regulates Event Water Fraction and Its Transit Time in Mesoscale Mountainous Catchments: Implication for Modelling Parameterization J. Lee et al. 10.3390/w12041169
76. Achieving robust design through statistical effect screening K. Van Buren & F. Hemez 10.1002/nme.4981
77. Understanding the effects of revegetated shrubs on fluxes of energy, water, and gross primary productivity in a desert steppe ecosystem using the STEMMUS–SCOPE model E. Tang et al. 10.5194/bg-21-893-2024
78. 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
79. A user-friendly software package for VIC hydrologic model development S. Wi et al. 10.1016/j.envsoft.2017.09.006
80. PITCH: A model simulating the transfer and retention of pesticides in infiltrating ditches and channel networks for management design purposes C. Dagès et al. 10.1016/j.scitotenv.2023.164602
81. Parameter Sensitivity of the Noah-MP Land Surface Model with Dynamic Vegetation K. Arsenault et al. 10.1175/jhm-d-17-0205.1
82. Many-objective optimization of energy conservation and emission reduction under uncertainty: A case study in China's cement industry C. Doh Dinga & Z. Wen 10.1016/j.energy.2022.124168
83. Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India S. Naha et al. 10.5194/hess-25-6339-2021
84. Global Sensitivity Analysis of environmental models: Convergence and validation F. Sarrazin et al. 10.1016/j.envsoft.2016.02.005
85. Robust Subsampling ANOVA Methods for Sensitivity Analysis of Water Resource and Environmental Models F. Wang et al. 10.1007/s11269-020-02608-2
86. Effective Global Sensitivity Analysis for High-Dimensional Hydrologic and Water Quality Models Y. Khare et al. 10.1061/(ASCE)HE.1943-5584.0001726
87. 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
88. Climate change impacts model parameter sensitivity – implications for calibration strategy and model diagnostic evaluation L. Melsen & B. Guse 10.5194/hess-25-1307-2021
89. Sensitivity analysis applied to SiC failure probability in TRISO modeled with BISON C. Ghezzi et al. 10.1016/j.pnucene.2022.104431
90. A Simple Time-Varying Sensitivity Analysis (TVSA) for Assessment of Temporal Variability of Hydrological Processes Y. Medina & E. Muñoz 10.3390/w12092463
91. Exploring the impact of forcing error characteristics on physically based snow simulations within a global sensitivity analysis framework M. Raleigh et al. 10.5194/hess-19-3153-2015
92. Assessing sensitivities in algorithmic detection of tropical cyclones in climate data C. Zarzycki & P. Ullrich 10.1002/2016GL071606
93. Data assimilation for urban stormwater and water quality simulations using deep reinforcement learning M. Jeung et al. 10.1016/j.jhydrol.2023.129973
94. Global sensitivity analysis of a dynamic vegetation model: Model sensitivity depends on successional time, climate and competitive interactions N. Huber et al. 10.1016/j.ecolmodel.2017.12.013
95. Sensitivity of forest water balance and physiological drought predictions to soil and vegetation parameters – A model-based study M. Speich et al. 10.1016/j.envsoft.2018.01.016
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98. Independent Validation of an In Silico Tool for a Pilot-Scale Pharmaceutical Crystallization Process Development M. Öner et al. 10.3390/pr9040640
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