144 citations as recorded by crossref.

1. Assessing Parameter Importance of the Weather Research and Forecasting Model Based On Global Sensitivity Analysis Methods D. Ji et al. 10.1002/2017JD027348
2. Spatiotemporal evolution and driving forces of landscape structure and habitat quality in river corridors with ceased flow: A case study of the Yongding River corridor in Beijing, China X. Du et al. 10.1016/j.jenvman.2024.123861
3. Machine Learning for the Sensitivity Analysis of a Model of the Cellular Uptake of Nanoparticles for the Treatment of Cancer S. Iaquinta et al. 10.1002/cnm.3878
4. Comprehensive sensitivity analysis and process risk assessment of large scale pharmaceutical crystallization processes M. Öner et al. 10.1016/j.compchemeng.2020.106746
5. Property-based Sensitivity Analysis: An approach to identify model implementation and integration errors T. Iwanaga et al. 10.1016/j.envsoft.2021.105013
6. Parameter evaluation and optimization for multi-resolution segmentation in object-based shadow detection using very high resolution imagery H. Luo et al. 10.1080/10106049.2016.1222632
7. Sensitivity Analysis for ReaxFF Reparametrization Using the Hilbert–Schmidt Independence Criterion M. Freitas Gustavo et al. 10.1021/acs.jctc.2c01320
8. Global importance measure methodology for integrated probabilistic risk assessment T. Sakurahara et al. 10.1177/1748006X19879316
9. Factors Determining the Natural Fresh‐Salt Groundwater Distribution in Deltas J. van Engelen et al. 10.1029/2020WR027290
10. Visualization facilitates uncertainty evaluation of multiple-point geostatistical stochastic simulation Q. Huang et al. 10.1007/s44267-023-00016-9
11. Model‐based analysis of the influence of catchment properties on hydrologic partitioning across five mountain headwater subcatchments C. Kelleher et al. 10.1002/2014WR016147
12. 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
13. 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
14. A multi-criteria trajectory-based parameter sampling strategy for the screening method of elementary effects Y. Khare et al. 10.1016/j.envsoft.2014.11.013
15. Assessing Changes of Water Yield in Qinghai Lake Watershed of China X. Lian et al. 10.3390/w12010011
16. Development and testing of a SOSM approach to examine the natural attenuation of oil spillage on shorelines Z. Yang & Z. Chen 10.1016/j.jhazmat.2022.129579
17. 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
18. 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
19. Sensitivity analysis of Repast computational ecology models with R/Repast A. Prestes García & A. Rodríguez‐Patón 10.1002/ece3.2580
20. Quantification of predictive uncertainty with a metamodel: toward more efficient hydrologic simulations V. Tran & J. Kim 10.1007/s00477-019-01703-0
21. Sensitivity Analysis for Modeling of Cr(VI) Transfer From Soil to Surface Runoff X. Wu et al. 10.3389/fenvs.2022.917103
22. 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
23. Sensitivity Analysis of Fully Distributed Parameterization Reveals Insights Into Heterogeneous Catchment Responses for Water Quality Modeling X. Yang et al. 10.1029/2019WR025575
24. ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool D. Di Santo et al. 10.5194/gmd-18-433-2025
25. Employing sensitivity analysis to catchments having scanty data S. Nabi et al. 10.1007/s11356-022-20514-5
26. Component Combination Test to Investigate Improvement of the IHACRES and GR4J Rainfall–Runoff Models M. Shin & C. Kim 10.3390/w13152126
27. Evaluation of the ecological sensitivity and security of tidal flats in Shanghai Y. Shi et al. 10.1016/j.ecolind.2017.11.033
28. 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
29. Geospatial understanding of climate parameters within watershed boundaries of India F. Ahmad & L. Goparaju 10.1007/s41324-020-00323-z
30. Uncertainty Decomposition to Understand the Influence of Water Systems Model Error in Climate Vulnerability Assessments S. Steinschneider et al. 10.1029/2022WR032349
31. 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
32. 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
33. 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
34. Parameter Sensitivity Analysis for Computationally Intensive Spatially Distributed Dynamical Environmental Systems Models X. Huo et al. 10.1029/2018MS001573
35. Index System of Water Resources Development and Utilization Level Based on Water-Saving Society C. Dai et al. 10.3390/w14050802
36. Modelling and control of magnetorheological hydro-pneumatic suspension system based on multibody system transfer matrix method M. Jiang et al. 10.1080/00423114.2025.2488952
37. 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
38. 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
39. Parameter space exploration for the probabilistic damage stability method for dry cargo ships B. Milatz et al. 10.1016/j.ijnaoe.2023.100549
40. Inversion of hydrogeological parameters based on an adaptive dynamic surrogate model Y. Liu et al. 10.1007/s10040-022-02493-6
41. Sensitivity analysis of a 2D flood inundation model. A case study of Tous Dam A. Ullah et al. 10.1007/s12665-024-11500-w
42. Assessing the predictive impact of factor fixing with an adaptive uncertainty-based approach Q. Wang et al. 10.1016/j.envsoft.2021.105290
43. Sensitivity Analysis to Investigate the Reliability of the Grid-Based Rainfall-Runoff Model M. Shin & Y. Choi 10.3390/w10121839
44. A framework for 2-stage global sensitivity analysis of GastroPlus™ compartmental models M. Scherholz et al. 10.1007/s10928-018-9573-1
45. 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
46. 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
47. Coordination and control – limits in standard representations of multi-reservoir operations in hydrological modeling C. Rougé et al. 10.5194/hess-25-1365-2021
48. 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
49. 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
50. 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
51. Fast assimilation of frequently acquired 4D seismic data for reservoir history matching Z. Yin et al. 10.1016/j.cageo.2019.04.001
52. Guidance on evaluating parametric model uncertainty at decision-relevant scales J. Smith et al. 10.5194/hess-26-2519-2022
53. 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
54. Assessment of the suitability of rainfall–runoff models by coupling performance statistics and sensitivity analysis M. Shin & C. Kim 10.2166/nh.2016.129
55. 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
56. 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
57. 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
58. Calculator to Estimate Annual Infiltration Performance of Roadside Swales M. García-Serrana et al. 10.1061/(ASCE)HE.1943-5584.0001650
59. 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
60. 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
61. Global sensitivity analysis of parameter uncertainty in landscape evolution models C. Skinner et al. 10.5194/gmd-11-4873-2018
62. Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models O. Rakovec et al. 10.1002/2013WR014063
63. 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
64. 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
65. Sub-Watershed Parameter Transplantation Method for Non-Point Source Pollution Estimation in Complex Underlying Surface Environment X. Chen et al. 10.3390/land10121387
66. 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
67. 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
68. 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
69. 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
70. High-risk nuclide screening and parameter sensitivity analysis based on numerical simulation and machine learning X. Zhang et al. 10.1016/j.jhazmat.2024.136002
71. 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
72. Global sensitivity analysis of an energy–economy model of the residential building sector F. Branger et al. 10.1016/j.envsoft.2015.03.021
73. Techniques for Multilevel Design Optimization of Permanent Magnet Motors G. Lei et al. 10.1109/TEC.2015.2444434
74. A PCM-based stochastic hydrological model for uncertainty quantification in watershed systems Y. Fan et al. 10.1007/s00477-014-0954-8
75. Portfolio optimization for seed selection in diverse weather scenarios O. Marko et al. 10.1371/journal.pone.0184198
76. Stable expression and control parameters in the numerical simulation of unsaturated flow Z. Zhang et al. 10.1007/s11709-022-0893-2
77. Global sensitivity study of non-reactive and sorptive solute dispersivity in multiscale heterogeneous sediments W. Ren et al. 10.1016/j.jhydrol.2023.129274
78. 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
79. 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
80. 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
81. Achieving robust design through statistical effect screening K. Van Buren & F. Hemez 10.1002/nme.4981
82. Anchor-based ontology partitioning and Genetic Programming with Relevance Reasoning for large-scale biomedical ontology matching D. Sun et al. 10.1016/j.eswa.2025.126445
83. 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
84. 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
85. A comprehensive approach to conducting multi-criteria sensitivity analysis of computationally expensive multidimensional hydrodynamic-ecology models (MHEs) S. Gebremariam 10.1080/02626667.2025.2497883
86. A user-friendly software package for VIC hydrologic model development S. Wi et al. 10.1016/j.envsoft.2017.09.006
87. 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
88. Parameter Sensitivity of the Noah-MP Land Surface Model with Dynamic Vegetation K. Arsenault et al. 10.1175/jhm-d-17-0205.1
89. 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
90. 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
91. Uncertainty of canopy interception modeling in high-altitude Picea crassifolia forests of Semi-arid regions J. Yang et al. 10.1016/j.agrformet.2024.110190
92. Global Sensitivity Analysis of environmental models: Convergence and validation F. Sarrazin et al. 10.1016/j.envsoft.2016.02.005
93. Robust Subsampling ANOVA Methods for Sensitivity Analysis of Water Resource and Environmental Models F. Wang et al. 10.1007/s11269-020-02608-2
94. Effective Global Sensitivity Analysis for High-Dimensional Hydrologic and Water Quality Models Y. Khare et al. 10.1061/(ASCE)HE.1943-5584.0001726
95. 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
96. Climate change impacts model parameter sensitivity – implications for calibration strategy and model diagnostic evaluation L. Melsen & B. Guse 10.5194/hess-25-1307-2021
97. Sensitivity analysis applied to SiC failure probability in TRISO modeled with BISON C. Ghezzi et al. 10.1016/j.pnucene.2022.104431
98. A Simple Time-Varying Sensitivity Analysis (TVSA) for Assessment of Temporal Variability of Hydrological Processes Y. Medina & E. Muñoz 10.3390/w12092463
99. 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
100. Assessing sensitivities in algorithmic detection of tropical cyclones in climate data C. Zarzycki & P. Ullrich 10.1002/2016GL071606
101. Data assimilation for urban stormwater and water quality simulations using deep reinforcement learning M. Jeung et al. 10.1016/j.jhydrol.2023.129973
102. 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
103. 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
104. Sensitivity analysis of reference evapotranspiration to sensor accuracy K. DeJonge et al. 10.1016/j.compag.2014.11.013
105. Ensemble deep learning enabled multi-condition generative design of aerial building machine considering uncertainties J. Wang et al. 10.1016/j.autcon.2023.105134
106. Independent Validation of an In Silico Tool for a Pilot-Scale Pharmaceutical Crystallization Process Development M. Öner et al. 10.3390/pr9040640
107. Evaluation of a new observationally based channel parameterization for the National Water Model A. Heldmyer et al. 10.5194/hess-26-6121-2022
108. Model Variable Augmentation (MVA) for Diagnostic Assessment of Sensitivity Analysis Results J. Mai & B. Tolson 10.1029/2018WR023382
109. Position paper: Sensitivity analysis of spatially distributed environmental models- a pragmatic framework for the exploration of uncertainty sources H. Koo et al. 10.1016/j.envsoft.2020.104857
110. A two-stage sensitivity analysis for parameter identification and calibration of a physically-based distributed model in a river basin S. Sreedevi & T. Eldho 10.1080/02626667.2019.1602730
111. Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media H. Guo et al. 10.1007/s00366-021-01586-2
112. Industrial-environmental management in China's iron and steel industry under multiple objectives and uncertainties D. Huang et al. 10.1016/j.jenvman.2022.114785
113. Long term power prices and renewable energy market values in Norway – A probabilistic approach E. Jåstad et al. 10.1016/j.eneco.2022.106182
114. A streamlined approach to uncertainty and sensitivity analysis for models with spatial outputs with an example from geodiversity assessment A. Ligmann-Zielinska et al. 10.1080/13658816.2024.2348065
115. Spatially distributed sensitivity of simulated global groundwater heads and flows to hydraulic conductivity, groundwater recharge, and surface water body parameterization R. Reinecke et al. 10.5194/hess-23-4561-2019
116. Assessing the Sensitivity of the Tropical Cyclone Boundary Layer to the Parameterization of Momentum Flux in the Community Earth System Model K. Nardi et al. 10.1175/MWR-D-21-0186.1
117. Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost R. Sheikholeslami et al. 10.1016/j.envsoft.2018.09.002
118. Enhancing cardiovascular monitoring: a non-linear model for characterizing RR interval fluctuations in exercise and recovery M. Castillo-Aguilar et al. 10.1038/s41598-025-93654-6
119. Multiobjective sensitivity analysis and model parameterization approach for coupled streamflow and groundwater table depth simulations using SHETRAN in a wet humid tropical catchment S. Sreedevi et al. 10.1016/j.jhydrol.2019.124217
120. A framework for assessing uncertainty of drinking water quality in distribution networks with application to monochloramine decay M. Frankel et al. 10.1016/j.jclepro.2023.137056
121. Sensitivity analysis of hydrological models: review and way forward M. Devak & C. Dhanya 10.2166/wcc.2017.149
122. Developing a cloud-based toolbox for sensitivity analysis of a water quality model S. Kim et al. 10.1016/j.envsoft.2021.105068
123. Parameterisation of an integrated groundwater-surface water model for hydrological analysis of boreal aapa mire wetlands A. Jaros et al. 10.1016/j.jhydrol.2019.04.094
124. Impacts of massive pumping on flood processes in polders—with a case study on Lannihu basin in the Dongting Lake District, China J. Liu et al. 10.1002/hyp.14365
125. Assessing WRF model parameter sensitivity: A case study with 5 day summer precipitation forecasting in the Greater Beijing Area Z. Di et al. 10.1002/2014GL061623
126. A directly coil-actuated cyclic pitch control based rotor: Design, modeling, and analysis Q. Wu et al. 10.1016/j.ast.2023.108423
127. Modelling of the thermal regime of permafrost during 1990–2014 in Hornsund, Svalbard T. Wawrzyniak et al. 10.1515/popore-2016-0013
128. The impact of evaporation fractionation on the inverse estimation of soil hydraulic and isotope transport parameters T. Zhou et al. 10.1016/j.jhydrol.2022.128100
129. GLOBAL SENSITIVITY ANALYSIS METHODS APPLIED TO HYDROLOGIC MODELING WITH THE SAC-SMA MODEL E. Uliana et al. 10.1590/1809-4430-eng.agric.v39n1p65-74/2019
130. Sensitivity Analysis of the Composite Data-Driven Pipelines in the Automated Machine Learning I. Barabanova et al. 10.1016/j.procs.2021.10.050
131. A mathematical model of competition between fiber and mucin degraders in the gut provides a possible explanation for mucus thinning T. Jegatheesan et al. 10.1016/j.jtbi.2024.111824
132. Incorporating deep uncertainty into the elementary effects method for robust global sensitivity analysis L. Gao & B. Bryan 10.1016/j.ecolmodel.2015.10.016
133. A Bayesian-based multilevel factorial analysis method for analyzing parameter uncertainty of hydrological model Y. Liu et al. 10.1016/j.jhydrol.2017.08.048
134. Modeling of true triaxial strength of rocks based on optimized genetic programming B. Yu et al. 10.1016/j.asoc.2022.109601
135. Global sensitivity analysis of piezoelectric energy harvesters R. Aloui et al. 10.1016/j.compstruct.2019.111317
136. Screening methods for sensitivity analysis applied to thin composite laminated structures G. De Zanet & A. Viquerat 10.1016/j.tws.2021.108870
137. An integrated approach to streamflow estimation and flood inundation mapping using VIC, RAPID and LISFLOOD-FP S. Nandi & M. Reddy 10.1016/j.jhydrol.2022.127842
138. Multivariate global sensitivity analysis for dynamic models based on wavelet analysis S. Xiao et al. 10.1016/j.ress.2017.10.007
139. Spatial Pattern Oriented Multicriteria Sensitivity Analysis of a Distributed Hydrologic Model M. Demirel et al. 10.3390/w10091188
140. Sensitivity analysis using Morris: Just screening or an effective ranking method? L. Paleari et al. 10.1016/j.ecolmodel.2021.109648
141. Practical Use of Computationally Frugal Model Analysis Methods M. Hill et al. 10.1111/gwat.12330
142. Multivariate sensitivity analysis based on the direction of eigen space through principal component analysis S. Xiao et al. 10.1016/j.ress.2017.03.011
143. Assessing parameter importance of the Common Land Model based on qualitative and quantitative sensitivity analysis J. Li et al. 10.5194/hess-17-3279-2013
144. Analysis of three-dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis H. Guo et al. 10.1007/s00366-022-01633-6