Articles | Volume 11, issue 2
https://doi.org/10.5194/hess-11-793-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/hess-11-793-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation
Y. Tang
Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, Pennsylvania, USA
P. Reed
Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, Pennsylvania, USA
T. Wagener
Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, Pennsylvania, USA
K. van Werkhoven
Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, Pennsylvania, USA
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- What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling T. Wagener & F. Pianosi 10.1016/j.earscirev.2019.04.006
- An experimental approach to reduce the parametric dimensionality for rainfall–runoff models J. Chen et al. 10.2166/nh.2016.145
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- Temporal dynamics of model parameter sensitivity for computationally expensive models with the Fourier amplitude sensitivity test D. Reusser et al. 10.1029/2010WR009947
- A comprehensive framework for HSPF hydrological parameter sensitivity, optimization and uncertainty evaluation based on SVM surrogate model- A case study in Qinglong River watershed, China L. Xingpo et al. 10.1016/j.envsoft.2021.105126
- Issues of experimental design for comparing the performance of hydrologic models R. Clarke 10.1029/2007WR005927
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- Sensitivity analysis of Takagi-Sugeno-Kang rainfall-runoff fuzzy models A. Jacquin & A. Shamseldin 10.5194/hess-13-41-2009
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- Variance‐Based Global Sensitivity Analysis: A Methodological Framework and Case Study for Microkinetic Modeling B. van den Boorn et al. 10.1002/adts.202200615
- Retrofitting low-performance units to abate sewer overflow pollution based on mathematical model and Sobol algorithm Z. Zhao et al. 10.1007/s42241-023-0048-5
- Validation of a microalgal growth model accounting with inorganic carbon and nutrient kinetics for wastewater treatment B. Decostere et al. 10.1016/j.cej.2015.09.111
- Advancing Diagnostic Model Evaluation to Better Understand Water Shortage Mechanisms in Institutionally Complex River Basins A. Hadjimichael et al. 10.1029/2020WR028079
- Changes of potential evapotranspiration and its sensitivity across China under future climate scenarios P. Zeng et al. 10.1016/j.atmosres.2021.105763
- Global Sensitivity Analysis of environmental models: Convergence and validation F. Sarrazin et al. 10.1016/j.envsoft.2016.02.005
- Seasonal Hydrologic Forecasting: Do Multimodel Ensemble Averages Always Yield Improvements in Forecast Skill? T. Bohn et al. 10.1175/2010JHM1267.1
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- Evaluation of water quality of Chahnimeh as natural reservoirs from Sistan region in southwestern Iran: a Monte Carlo simulation and Sobol sensitivity assessment H. Kamani et al. 10.1007/s11356-023-26879-5
- A modified Sobol′ sensitivity analysis method for decision-making in environmental problems A. Ganji et al. 10.1016/j.envsoft.2015.10.001
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- Learning from model improvement: On the contribution of complementary data to process understanding F. Fenicia et al. 10.1029/2007WR006386
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- Improving structure identifiability of hydrological processes by temporal sensitivity with a flexible modeling framework L. Zhou et al. 10.1016/j.jhydrol.2022.128843
- Are we unnecessarily constraining the agility of complex process-based models? P. Mendoza et al. 10.1002/2014WR015820
- Advances and visions in large-scale hydrological modelling: findings from the 11th Workshop on Large-Scale Hydrological Modelling P. Döll et al. 10.5194/adgeo-18-51-2008
- A downward structural sensitivity analysis of hydrological models to improve low-flow simulation R. Pushpalatha et al. 10.1016/j.jhydrol.2011.09.034
- A post audit and inverse modeling in reactive transport: 50years of artificial recharge in the Amsterdam Water Supply Dunes R. Karlsen et al. 10.1016/j.jhydrol.2012.05.019
- Global sensitivity analysis for urban water quality modelling: Terminology, convergence and comparison of different methods P. Vanrolleghem et al. 10.1016/j.jhydrol.2014.12.056
- Three complementary methods for sensitivity analysis of a water quality model X. Sun et al. 10.1016/j.envsoft.2012.04.010
- Parameter sensitivity analysis and optimization for a satellite‐based evapotranspiration model across multiple sites using Moderate Resolution Imaging Spectroradiometer and flux data K. Zhang et al. 10.1002/2016JD025768
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- On selection of the optimal data time interval for real-time hydrological forecasting J. Liu & D. Han 10.5194/hess-17-3639-2013
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- Coupled hydrologic and hydraulic modeling for a lowland river basin in China J. Zhang et al. 10.1016/j.jhydrol.2024.132470
- Time scale dependent sensitivities of the XinAnJiang model parameters M. Lu & X. Li 10.3178/hrl.8.51
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- An empirical workflow to integrate uncertainty and sensitivity analysis to evaluate agent-based simulation outputs C. Abreu & C. Ralha 10.1016/j.envsoft.2018.06.013
- Evaluation of an urban drainage system and its resilience using remote sensing and GIS G. Guptha et al. 10.1016/j.rsase.2021.100601
- Foodweb modeling for polychlorinated biphenyls (PCBs) in the Twelvemile Creek Arm of Lake Hartwell, South Carolina, USA B. Rashleigh et al. 10.1016/j.ecolmodel.2008.09.007
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- Assessing effects of model complexity and structure on predictions of hydrological responses using serial and parallel model design H. Chien & D. Mackay 10.1002/hyp.13594
- Sources of uncertainty in modeling the glaciohydrological response of a Karakoram watershed to climate change S. Ragettli et al. 10.1002/wrcr.20450
- Parameter Sensitivity of a Surface Water Quality Model of the Lower South Saskatchewan River—Comparison Between Ice-On and Ice-Off Periods N. Hosseini et al. 10.1007/s10666-016-9541-3
- Calibration and validation of fatigue lifetime model in complex structures based on multi-level data X. Liu et al. 10.1016/j.ijfatigue.2022.106783
- Sensitivity and Uncertainty of Ground‐Water Discharge Estimates for Semiarid Shrublands1 J. Zhu & M. Young 10.1111/j.1752-1688.2009.00312.x
- Parametric sensitivity analysis of precipitation and temperature based on multi-uncertainty quantification methods in the Weather Research and Forecasting model Z. Di et al. 10.1007/s11430-016-9021-6
- Impacts of Climate Change on the Water Quality of a Regulated Prairie River N. Hosseini et al. 10.3390/w9030199
- How to Tailor My Process‐Based Hydrological Model? Dynamic Identifiability Analysis of Flexible Model Structures T. Pilz et al. 10.1029/2020WR028042
- A new multimedia contaminant fate model for China: How important are environmental parameters in influencing chemical persistence and long-range transport potential? Y. Zhu et al. 10.1016/j.envint.2014.03.020
- Quantification of predictive uncertainty with a metamodel: toward more efficient hydrologic simulations V. Tran & J. Kim 10.1007/s00477-019-01703-0
- A simple and efficient method for global sensitivity analysis based on cumulative distribution functions F. Pianosi & T. Wagener 10.1016/j.envsoft.2015.01.004
- Model‐based analysis of the influence of catchment properties on hydrologic partitioning across five mountain headwater subcatchments C. Kelleher et al. 10.1002/2014WR016147
- Socio-hydrologic modeling to understand and mediate the competition for water between agriculture development and environmental health: Murrumbidgee River basin, Australia T. van Emmerik et al. 10.5194/hess-18-4239-2014
- Quantifying plasticity in simulation models R. Confalonieri et al. 10.1016/j.ecolmodel.2011.11.022
- A general framework for Dynamic Emulation Modelling in environmental problems A. Castelletti et al. 10.1016/j.envsoft.2012.01.002
- Modified DNDC model to improve performance of soil temperature simulation under plastic film mulching and snow cover W. Zhao et al. 10.1016/j.compag.2023.108354
- Calibration of Rainfall-Runoff Model in Urban Watersheds for Stormwater Management Assessment N. Mancipe-Munoz et al. 10.1061/(ASCE)WR.1943-5452.0000382
- Distribution-based sensitivity analysis from a generic input-output sample F. Pianosi & T. Wagener 10.1016/j.envsoft.2018.07.019
- Characterization of process-oriented hydrologic model behavior with temporal sensitivity analysis for flash floods in Mediterranean catchments P. Garambois et al. 10.5194/hess-17-2305-2013
- Sensitivity analysis of effective population size to demographic parameters in house sparrow populations M. Stubberud et al. 10.1111/mec.14057
- Simulating typhoon-induced storm hydrographs in subtropical mountainous watershed: an integrated 3-layer TOPMODEL J. Huang et al. 10.5194/hess-13-27-2009
- Sensitivity analysis of environmental models: A systematic review with practical workflow F. Pianosi et al. 10.1016/j.envsoft.2016.02.008
- 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
- A General Probabilistic Framework for uncertainty and global sensitivity analysis of deterministic models: A hydrological case study G. Baroni & S. Tarantola 10.1016/j.envsoft.2013.09.022
- Sensitivity analysis of the DeNitrification and Decomposition model for simulating regional carbon budget at the wetland-grassland area on the Zoige Plateau, china J. Wang et al. 10.1007/s11629-015-3520-z
- Modeling the Compression Stiffness Degradation in Circular Elastomeric Bearings due to Fatigue P. Deng & G. Warn 10.1061/(ASCE)EM.1943-7889.0000947
- A Matlab toolbox for Global Sensitivity Analysis F. Pianosi et al. 10.1016/j.envsoft.2015.04.009
- Estimating parameters of the variable infiltration capacity model using ant colony optimization J. Yue et al. 10.2166/wst.2016.282
- Implementation and sensitivity analysis of the Dam-Reservoir OPeration model (DROP v1.0) over Spain M. Sadki et al. 10.5194/gmd-16-427-2023
- An efficient integrated approach for global sensitivity analysis of hydrological model parameters C. Zhan et al. 10.1016/j.envsoft.2012.10.009
- Sensitivity analysis of spatial models L. Lilburne & S. Tarantola 10.1080/13658810802094995
- Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model F. Khorashadi Zadeh et al. 10.1016/j.envsoft.2017.02.001
- Characterizing parameter sensitivity and uncertainty for a snow model across hydroclimatic regimes M. He et al. 10.1016/j.advwatres.2010.10.002
- Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding C. Kelleher et al. 10.5194/hess-21-3325-2017
- Screening‐Level Sensitivity Analysis for the Design of Pump‐and‐Treat Systems L. Matott 10.1111/j.1745-6592.2011.01375.x
- Development of a calibration approach using DNDC and PEST for improving estimates of management impacts on water and nutrient dynamics in an agricultural system A. Bhattarai et al. 10.1016/j.envsoft.2022.105494
- Understanding hydrological flow paths in conceptual catchment models using uncertainty and sensitivity analysis E. Mockler et al. 10.1016/j.cageo.2015.08.015
- Improvements to the hydrological processes of the Town Energy Balance model (TEB-Veg, SURFEX v7.3) for urban modelling and impact assessment X. Stavropulos-Laffaille et al. 10.5194/gmd-11-4175-2018
- Impact of temporal data resolution on parameter inference and model identification in conceptual hydrological modeling: Insights from an experimental catchment D. Kavetski et al. 10.1029/2010WR009525
- Significant variables affecting the performance of concrete panels impacted by wind-borne projectiles: A global sensitivity analysis S. Zamanian et al. 10.1016/j.ijimpeng.2020.103650
- Variance-based sensitivity analysis of a forest growth model X. Song et al. 10.1016/j.ecolmodel.2012.08.005
- Parameter sensitivity analysis and optimization of Noah land surface model with field measurements from Huaihe River Basin, China T. Hou et al. 10.1007/s00477-015-1033-5
- A comprehensive sensitivity and uncertainty analysis for discharge and nitrate-nitrogen loads involving multiple discrete model inputs under future changing conditions C. Schürz et al. 10.5194/hess-23-1211-2019
- Stepwise sensitivity analysis from qualitative to quantitative: Application to the terrestrial hydrological modeling of a Conjunctive Surface‐Subsurface Process (CSSP) land surface model Y. Gan et al. 10.1002/2014MS000406
- An Improved Approach for Estimating Pan Evaporation Using a New Aerodynamic Mechanism Model G. Qiu et al. 10.1029/2020WR027870
- Assimilation of AMSR-E snow water equivalent data in a spatially-lumped snow model D. Dziubanski & K. Franz 10.1016/j.jhydrol.2016.05.046
- Numerical model of the irradiance field surrounding a UV disinfection robot L. De Matteis et al. 10.1088/2057-1976/ac7e6e
- Innovative Digital Stochastic Methods for Multidimensional Sensitivity Analysis in Air Pollution Modelling V. Todorov & I. Dimov 10.3390/math10122146
- Unraveling the hydrology of a Himalayan catchment through integration of high resolution in situ data and remote sensing with an advanced simulation model S. Ragettli et al. 10.1016/j.advwatres.2015.01.013
- Evaluation of TOPLATS on three Mediterranean catchments J. Loizu et al. 10.1016/j.jhydrol.2016.05.025
- 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
- Future potential evapotranspiration changes and contribution analysis in Zhejiang Province, East China Y. Xu et al. 10.1002/2013JD021245
- Technical Note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models J. Herman et al. 10.5194/hess-17-2893-2013
- Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction J. Chu et al. 10.5194/hess-19-3557-2015
- An approach for global sensitivity analysis of a complex environmental model to spatial inputs and parameters: A case study of an agro-hydrological model P. Moreau et al. 10.1016/j.envsoft.2013.04.006
- MODIS-Based Potential Evapotranspiration Demand Curves for the Sacramento Soil Moisture Accounting Model A. Bowman et al. 10.1061/(ASCE)HE.1943-5584.0001261
- Sensitivity analysis and estimation using a hierarchical Bayesian method for the parameters of the FvCB biochemical photosynthetic model T. Han et al. 10.1007/s11120-019-00684-z
- Modeling farmer behavior in adopting agroecological practices using AI tools in shea butter agroforestry systems D. Gbemavo et al. 10.1016/j.heliyon.2024.e40600
- Modified calibration strategies and parameter regionalization potential for streamflow estimation using a hydrological model S. Guniganti et al. 10.1080/02626667.2024.2335294
- Uncertainty, sensitivity analysis and the role of data based mechanistic modeling in hydrology M. Ratto et al. 10.5194/hess-11-1249-2007
- Integration of Remote Sensing Evapotranspiration into Multi-Objective Calibration of Distributed Hydrology–Soil–Vegetation Model (DHSVM) in a Humid Region of China S. Pan et al. 10.3390/w10121841
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- Global sensitivity analysis for a prediction model of soil solute transfer into surface runoff C. Huang et al. 10.1016/j.jhydrol.2021.126342
- Many-objective de Novo water supply portfolio planning under deep uncertainty J. Kasprzyk et al. 10.1016/j.envsoft.2011.04.003
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- Global sensitivity analysis of a model related to memory formation in synapses: Model reduction based on epistemic parameter uncertainties and related issues D. Kulasiri et al. 10.1016/j.jtbi.2017.02.003
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- An approach to measure parameter sensitivity in watershed hydrological modelling T. Ranatunga et al. 10.1080/02626667.2016.1174335
- Regional analysis of parameter sensitivity for simulation of streamflow and hydrological fingerprints S. Höllering et al. 10.5194/hess-22-203-2018
- Sobol′’s sensitivity analysis for a distributed hydrological model of Yichun River Basin, China C. Zhang et al. 10.1016/j.jhydrol.2012.12.005
- Sensitivity analysis and calibration of a dynamic physically based slope stability model T. Zieher et al. 10.5194/nhess-17-971-2017
- Modeling and uncertainty analysis of carbon and water fluxes in a broad-leaved Korean pine mixed forest based on model-data fusion X. Ren et al. 10.1016/j.ecolmodel.2018.03.013
- Auswahl der Modellkomplexität für die Beschreibung der Sauerstoffverhältnisse in Fließgewässern und Poldern während Hochwasserereignissen I. Pech et al. 10.1007/s00506-008-0020-1
- A systematic assessment and reduction of parametric uncertainties for a distributed hydrological model Y. Gan et al. 10.1016/j.jhydrol.2018.07.055
- Identification of the Controlling Mechanism for Predicting Critical Loads in Elastomeric Bearings X. Han et al. 10.1061/(ASCE)ST.1943-541X.0000811
- 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
- Application of distributed hydrological models for predictions in ungauged basins: a method to quantify predictive uncertainty R. Cibin et al. 10.1002/hyp.9721
- Temporal Scale‐Dependent Sensitivity Analysis for Hydrological Model Parameters Using the Discrete Wavelet Transform and Active Subspaces D. Bittner et al. 10.1029/2020WR028511
- Lumped parameter sensitivity analysis of a distributed hydrological model within tropical and temperate catchments L. Cuo et al. 10.1002/hyp.8017
- Variance Based Sensitivity Analysis of FLake Lake Model for Global Land Surface Modeling A. Bernus et al. 10.1029/2019JD031928
- Identifiability of transient storage model parameters along a mountain stream C. Kelleher et al. 10.1002/wrcr.20413
- Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification K. Zhang et al. 10.1029/2018WR023485
- 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
- Transferability of a Conceptual Hydrological Model across Different Temporal Scales and Basin Sizes S. Sheng et al. 10.1007/s11269-020-02594-5
- Practical Use of Computationally Frugal Model Analysis Methods M. Hill et al. 10.1111/gwat.12330
- Data-Driven Sensitivity Analysis for Static Mechanical Properties of Additively Manufactured Ti–6Al–4V A. Sharma et al. 10.1115/1.4051799
- Proposal for the Introduction of the Spatial Perspective in the Application of Global Sensitivity Analysis W. Plata-Rocha et al. 10.4236/jgis.2012.46055
- Exploring the potential for parameter transfer from daily to hourly time step in the HYPE model for Sweden D. Fuentes-Andino et al. 10.1080/02626667.2022.2121165
- Diagnostic Framework for Evaluating How Parametric Uncertainty Influences Agro‐Hydrologic Model Projections of Crop Yields Under Climate Change T. Karimi et al. 10.1029/2021WR031249
- Sensitivity analysis and auto-calibration of ORYZA2000 using simulation-optimization framework B. Soundharajan & K. Sudheer 10.1007/s10333-011-0293-z
- DGSA: A Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments J. Park et al. 10.1016/j.cageo.2016.08.021
- A comprehensive assessment and comparison of the impacts of storage parameters on solute transport in streams using a novel framework S. Khodambashi Emami & M. Mazaheri 10.1016/j.jhydrol.2024.130873
- Potential evapotranspiration changes in Lancang River Basin and Yarlung Zangbo River Basin, southwest China D. Ma et al. 10.1080/02626667.2018.1524147
- Modelling bidirectional modulations in synaptic plasticity: A biochemical pathway model to understand the emergence of long term potentiation (LTP) and long term depression (LTD) Y. He et al. 10.1016/j.jtbi.2016.05.015
- Bioenergetic and water quality modeling for eutrophication assessment of El Pañe Reservoir, Peru A. Mamani Larico et al. 10.1016/j.ecohyd.2020.08.004
- Exploring snow model parameter sensitivity using Sobol' variance decomposition E. Houle et al. 10.1016/j.envsoft.2016.11.024
- Data-driven multi-objective affective product design integrating three-dimensional form and color Z. Wang et al. 10.1007/s00521-022-07232-2
- Hydrological Simulation and Parameter Optimization Based on the Distributed Xin’anjiang Model and the Particle Swarm Optimization Algorithm: A Case Study of Xunhe Watershed in Shandong, China Z. Wang et al. 10.3390/w16223168
- Assessing the predictive impact of factor fixing with an adaptive uncertainty-based approach Q. Wang et al. 10.1016/j.envsoft.2021.105290
- Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models K. van Werkhoven et al. 10.1016/j.advwatres.2009.03.002
- Evaluation of parameter interaction effect of hydrological models using the sparse polynomial chaos (SPC) method H. Wang et al. 10.1016/j.envsoft.2019.104612
- Flood hazard mapping for data-scarce and ungauged coastal river basins using advanced hydrodynamic models, high temporal-spatial resolution remote sensing precipitation data, and satellite imageries M. Trinh & F. Molkenthin 10.1007/s11069-021-04843-1
- Improved Understanding of River Ice Processes Using Global Sensitivity Analysis Approaches R. Sheikholeslami et al. 10.1061/(ASCE)HE.1943-5584.0001574
- A non-stationary cost-benefit analysis approach for extreme flood estimation to explore the nexus of ‘Risk, Cost and Non-stationarity’ W. Qi 10.1016/j.jhydrol.2017.09.009
- Increasing parameter identifiability through clustered time-varying sensitivity analysis L. Wang et al. 10.1016/j.envsoft.2024.106189
- Global Sensitivity of Penman–Monteith Reference Evapotranspiration to Climatic Variables in Mato Grosso, Brazil M. Sabino & A. de Souza 10.3390/earth4030038
- Quantifying uncertainty in urban flooding analysis considering hydro-climatic projection and urban development effects I. Jung et al. 10.5194/hess-15-617-2011
- Sensitivity and Interaction Analysis Based on Sobol’ Method and Its Application in a Distributed Flood Forecasting Model H. Wan et al. 10.3390/w7062924
- Evaluating the fate of six common pharmaceuticals using a reactive transport model: Insights from a stream tracer test J. Riml et al. 10.1016/j.scitotenv.2013.03.077
- Sobol's sensitivity analysis for a fuel cell stack assembly model with the aid of structure-selection techniques W. Zhang et al. 10.1016/j.jpowsour.2015.08.076
- How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps M. Antonetti & M. Zappa 10.5194/hess-22-4425-2018
- Environmental risk of dissolved oxygen depletion of diverted flood waters in river polder systems – A quasi-2D flood modelling approach K. Lindenschmidt et al. 10.1016/j.scitotenv.2008.11.024
- Evaluating Hydrologic Behavior of Hydrology Simulation using Time Area (HYSTAR) Model through Sensitivity Analysis Y. Her 10.5389/KSAE.2015.57.3.041
- Parameters Sensitivity Analysis of the Xin’anjiang Model under Different Temporal and Spatial Scales 晟. 盛 10.12677/JWRR.2018.76061
- Evaluation of statistical models for forecast errors from the HBV model K. Engeland et al. 10.1016/j.jhydrol.2010.01.018
- Diagnostic Assessment of Search Controls and Failure Modes in Many-Objective Evolutionary Optimization D. Hadka & P. Reed 10.1162/EVCO_a_00053
- Understanding catchment behavior through stepwise model concept improvement F. Fenicia et al. 10.1029/2006WR005563
- A primer on thermodynamic-based models for deciphering transcriptional regulatory logic J. Dresch et al. 10.1016/j.bbagrm.2013.04.011
- Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis J. Yang 10.1016/j.envsoft.2010.10.007
- Inferring model structural deficits by analyzing temporal dynamics of model performance and parameter sensitivity D. Reusser & E. Zehe 10.1029/2010WR009946
- Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models O. Rakovec et al. 10.1002/2013WR014063
- Historical pan evaporation changes in the Qiantang River Basin, East China Y. Xu et al. 10.1002/joc.4470
- Development and application of a hybrid artificial neural network model for simulating future stream flows in catchments with limited in situ observed data S. Mugume et al. 10.2166/hydro.2024.066
- Epistemic uncertainties and natural hazard risk assessment – Part 2: What should constitute good practice? K. Beven et al. 10.5194/nhess-18-2769-2018
- Modeling risk analysis for forecasting peak discharge during flooding prevention and warning operation S. Wu et al. 10.1007/s00477-010-0436-6
- Robust high-dimensional screening A. Kim et al. 10.1016/j.envsoft.2021.105270
- Modeling the relationship between air temperature and grapefruit quality traits C. Zhang et al. 10.1002/jsfa.12219
- 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
- Synergy between satellite observations of soil moisture and water storage anomalies for runoff estimation S. Camici et al. 10.5194/gmd-15-6935-2022
- Fuzzy-Based Model for Predicting Failure of Oil Pipelines A. Senouci et al. 10.1061/(ASCE)IS.1943-555X.0000181
- Human Health Implication of Major and Trace Elements Present in Commercial Crustaceans of a Traditional Seafood Marketing Region, Egypt G. El-Said et al. 10.1007/s12011-020-02126-7
- Contribution of the satellite-data driven snow routine to a karst hydrological model S. Çallı et al. 10.1016/j.jhydrol.2022.127511
- Identifying key sources of uncertainty in the modelling of greenhouse gas emissions from wastewater treatment C. Sweetapple et al. 10.1016/j.watres.2013.05.021
- What drives uncertainty surrounding riverine flood risks? I. Hosseini-Shakib et al. 10.1016/j.jhydrol.2024.131055
- Analysis of the behavior of a rainfall–runoff model using three global sensitivity analysis methods evaluated at different temporal scales C. Massmann & H. Holzmann 10.1016/j.jhydrol.2012.09.026
- Evaluation of the Parameter Sensitivities of a Coupled Land Surface Hydrologic Model at a Critical Zone Observatory Y. Shi et al. 10.1175/JHM-D-12-0177.1
- Sensitivity and identifiability of stream flow generation parameters of the SWAT model R. Cibin et al. 10.1002/hyp.7568
- Time‐varying sensitivity analysis clarifies the effects of watershed model formulation on model behavior J. Herman et al. 10.1002/wrcr.20124
- Modeling Soil Organic Carbon Changes under Alternative Climatic Scenarios and Soil Properties Using DNDC Model at a Semi-Arid Mediterranean Environment I. Lembaid et al. 10.3390/cli10020023
- Sobol’ sensitivity analysis of a complex environmental model J. Nossent et al. 10.1016/j.envsoft.2011.08.010
- Iterative integration of deep learning in hybrid Earth surface system modelling M. Chen et al. 10.1038/s43017-023-00452-7
- Valuing carbon assets for high-tech with application to the wind energy industry L. Han et al. 10.1016/j.enpol.2015.09.025
- Deep Uncertainties in Sea‐Level Rise and Storm Surge Projections: Implications for Coastal Flood Risk Management P. Oddo et al. 10.1111/risa.12888
- Sobol sensitivity approach for the appraisal of geomedical health risks associated with oral intake and dermal pathways of groundwater fluoride in a semi-arid region of south India D. Karunanidhi et al. 10.1016/j.ecoenv.2020.110438
- Cloud computing for integrated stochastic groundwater uncertainty analysis Y. Liu et al. 10.1080/17538947.2012.687778
- Evaluation of global sensitivity analysis methods for computational structural mechanics problems C. Crusenberry et al. 10.1017/dce.2023.23
- Perceptions of how occupants adopt water conservation behaviors under psychosocial processes: A complementary dual-stage SEM-ANN perspective S. Shahangian et al. 10.1016/j.scs.2024.105354
- Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basins J. Gomis-Cebolla et al. 10.1016/j.jhydrol.2022.127569
- A novel linear spectral unmixing-based method for tree decline monitoring by fusing UAV-RGB and optical space-borne data M. Ghasemi et al. 10.1080/01431161.2024.2305630
- Improving risk assessment in financial feasibility of international engineering projects: A risk driver perspective J. Liu et al. 10.1016/j.ijproman.2016.11.004
- Sensitivity of Simulating Hydrologic Processes to Gauge and Radar Rainfall Data in Subtropical Coastal Catchments J. Diaz-Ramirez et al. 10.1007/s11269-012-0088-z
- An analysis of parameter sensitivities of preference-inspired co-evolutionary algorithms R. Wang et al. 10.1080/00207721.2015.1008600
- Vegetation controls on surface energy partitioning and water budget over China X. Lan et al. 10.1016/j.jhydrol.2020.125646
- Inaction and climate stabilization uncertainties lead to severe economic risks M. Butler et al. 10.1007/s10584-014-1283-0
- Global sensitivity analysis for an integrated model for simulation of nitrogen dynamics under the irrigation with treated wastewater H. Sun et al. 10.1007/s11356-015-4860-5
- A dynamic parameter identification method for the 5-DOF hybrid robot based on sensitivity analysis Z. Luo et al. 10.1108/IR-08-2023-0178
- Multi-method global sensitivity analysis of flood inundation models F. Pappenberger et al. 10.1016/j.advwatres.2007.04.009
- Identifying parametric controls and dependencies in integrated assessment models using global sensitivity analysis M. Butler et al. 10.1016/j.envsoft.2014.05.001
- Time-dependent global sensitivity analysis of the C-RIVE biogeochemical model in contrasted hydrological and trophic contexts S. Wang et al. 10.1016/j.watres.2018.07.033
- Sensitivity of potential evapotranspiration to changes in climate variables for different Australian climatic zones D. Guo et al. 10.5194/hess-21-2107-2017
- A comprehensive evaluation of various sensitivity analysis methods: A case study with a hydrological model Y. Gan et al. 10.1016/j.envsoft.2013.09.031
- Analysis of parameter sensitivity on surface heat exchange in the Noah land surface model at a temperate desert steppe site in China G. Zhang et al. 10.1007/s13351-017-7050-1
- Emulation techniques for the reduction and sensitivity analysis of complex environmental models M. Ratto et al. 10.1016/j.envsoft.2011.11.003
- Identification of the dominant hydrological process and appropriate model structure of a karst catchment through stepwise simplification of a complex conceptual model Y. Chang et al. 10.1016/j.jhydrol.2017.02.050
- Uncertainty analysis of modeled carbon and water fluxes in a subtropical coniferous plantation X. Ren et al. 10.1002/2013JG002402
- Gross primary production-coupled evapotranspiration in the global arid and semi-arid regions based on the NIRv index Y. Su et al. 10.1016/j.jhydrol.2024.132012
- Sensitivity Analysis‐Based Automatic Parameter Calibration of the VIC Model for Streamflow Simulations Over China J. Gou et al. 10.1029/2019WR025968
- Robust Subsampling ANOVA Methods for Sensitivity Analysis of Water Resource and Environmental Models F. Wang et al. 10.1007/s11269-020-02608-2
- Quantifying parameter sensitivity, interaction, and transferability in hydrologically enhanced versions of the Noah land surface model over transition zones during the warm season E. Rosero et al. 10.1029/2009JD012035
- Calibration and Validation of Watershed Models and Advances in Uncertainty Analysis in TMDL Studies E. Ahmadisharaf et al. 10.1061/(ASCE)HE.1943-5584.0001794
- Sampling Design of Hydraulic and Quality Model Calibration Based on a Global Sensitivity Analysis Method V. Abbasi Moghaddam & M. Tabesh 10.1061/(ASCE)WR.1943-5452.0001390
- Sobol’ sensitivity analysis of parameters in the common land model for simulation of water and energy fluxes J. Xu et al. 10.1007/s12145-012-0105-z
- Sensitivity and Uncertainty Analysis of the L-THIA-LID 2.1 Model Y. Liu et al. 10.1007/s11269-016-1462-z
- Spatiotemporal patterns and source attribution of nitrogen pollution in a typical headwater agricultural watershed in Southeastern China W. Chen et al. 10.1007/s11356-017-0685-8
- Improving Model Performance Using Season-Based Evaluation M. Muleta 10.1061/(ASCE)HE.1943-5584.0000421
- Significant variables for leakage and collapse of buried concrete sewer pipes: a global sensitivity analysis via Bayesian additive regression trees and Sobol’ indices S. Zamanian et al. 10.1080/15732479.2020.1762674
- Advancing the identification and evaluation of distributed rainfall‐runoff models using global sensitivity analysis Y. Tang et al. 10.1029/2006WR005813
- Global sensitivity analysis of a dynamic model for gene expression inDrosophilaembryos G. McCarthy et al. 10.7717/peerj.1022
- Fatigue property prediction of additively manufactured Ti-6Al-4V using probabilistic physics-guided learning J. Chen & Y. Liu 10.1016/j.addma.2021.101876
- ON SENSITIVITY RANKING USING ANALYTIC HIERARCHY PROCESS H. DANG 10.1142/S0218488507004613
- Tree-based ensemble methods for sensitivity analysis of environmental models: A performance comparison with Sobol and Morris techniques M. Jaxa-Rozen & J. Kwakkel 10.1016/j.envsoft.2018.06.011
- Semi-arid rather than arid regions of China deserve the priority in drought mitigation efforts X. Lan et al. 10.1016/j.jhydrol.2024.131791
- Sensitivity Analysis for Hydraulic Models J. Hall et al. 10.1061/(ASCE)HY.1943-7900.0000098
- Divergent sensitivity of surface water and energy variables to precipitation product uncertainty in the Tibetan Plateau W. Qi et al. 10.1016/j.jhydrol.2019.124338
- Soil fungal dynamics: Parameterisation and sensitivity analysis of modelled physiological processes, soil architecture and carbon distribution K. Cazelles et al. 10.1016/j.ecolmodel.2012.08.008
- Identification of influential proteins in the classical retinoic acid signaling pathway H. Ghaffari & L. Petzold 10.1186/s12976-018-0088-7
- Dealing with uncertainty in ecosystem models: lessons from a complex salmon model P. McElhany et al. 10.1890/08-0625.1
- Addressing uncertainty in modelling cumulative impacts within maritime spatial planning in the Adriatic and Ionian region E. Gissi et al. 10.1371/journal.pone.0180501
- CMI: An online multi-objective genetic autoscaler for scientific and engineering workflows in cloud infrastructures with unreliable virtual machines D. Monge et al. 10.1016/j.jnca.2019.102464
- Regulation of CSF and Brain Tissue Sodium Levels by the Blood-CSF and Blood-Brain Barriers During Migraine H. Ghaffari et al. 10.3389/fncom.2020.00004
- Mathematical modeling of gene expression: a guide for the perplexed biologist A. Ay & D. Arnosti 10.3109/10409238.2011.556597
- A model comparison study of the flowering time regulatory network in Arabidopsis C. Wang et al. 10.1186/1752-0509-8-15
- Thermodynamic modeling of transcription: sensitivity analysis differentiates biological mechanism from mathematical model-induced effects J. Dresch et al. 10.1186/1752-0509-4-142
- Sensitivity analysis demonstrates limits to utility of lactation index for white‐tailed deer management K. Campbell et al. 10.1002/wsb.904
- Regional Snow Parameters Estimation for Large‐Domain Hydrological Applications in the Western United States N. Sun et al. 10.1029/2018JD030140
- Sensitivity analysis of the effects of the thermal parameters of exhaust gases on the output of a thermoelectric generator S. Mostafavi et al. 10.1002/htj.21406
- How parameter specification of an Earth system model of intermediate complexity influences its climate simulations Y. Shi et al. 10.1186/s40645-019-0294-x
- Assessing the investigation of streamflow source areas through uncertainty evaluation of numerical experiments in small catchments F. Soria & S. Kazama 10.1002/hyp.8304
227 citations as recorded by crossref.
- What has Global Sensitivity Analysis ever done for us? A systematic review to support scientific advancement and to inform policy-making in earth system modelling T. Wagener & F. Pianosi 10.1016/j.earscirev.2019.04.006
- An experimental approach to reduce the parametric dimensionality for rainfall–runoff models J. Chen et al. 10.2166/nh.2016.145
- Assessment of combined sewer overflows impacts under flooding in coastal cities H. Abbasi et al. 10.2166/wcc.2021.322
- Temporal dynamics of model parameter sensitivity for computationally expensive models with the Fourier amplitude sensitivity test D. Reusser et al. 10.1029/2010WR009947
- A comprehensive framework for HSPF hydrological parameter sensitivity, optimization and uncertainty evaluation based on SVM surrogate model- A case study in Qinglong River watershed, China L. Xingpo et al. 10.1016/j.envsoft.2021.105126
- Issues of experimental design for comparing the performance of hydrologic models R. Clarke 10.1029/2007WR005927
- Global sensitivity analysis of an energy–economy model of the residential building sector F. Branger et al. 10.1016/j.envsoft.2015.03.021
- Determination of the saturated film conductivity to improve the EMFX model in describing the soil hydraulic properties over the entire moisture range Y. Wang et al. 10.1016/j.jhydrol.2017.03.063
- An Urban Sociohydrologic Model for Exploration of Beijing's Water Sustainability Challenges and Solution Spaces B. Li et al. 10.1029/2018WR023816
- Identifying sensitive sources and key control handles for the reduction of greenhouse gas emissions from wastewater treatment C. Sweetapple et al. 10.1016/j.watres.2014.06.002
- Sensitivity analysis of Takagi-Sugeno-Kang rainfall-runoff fuzzy models A. Jacquin & A. Shamseldin 10.5194/hess-13-41-2009
- Assessment of the parameter sensitivity for the ORYZA model at the regional scale - A case study in the Yangtze River Basin Q. Yu et al. 10.1016/j.envsoft.2022.105575
- Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks S. Driscoll et al. 10.1016/j.jocs.2024.102231
- Variance‐Based Global Sensitivity Analysis: A Methodological Framework and Case Study for Microkinetic Modeling B. van den Boorn et al. 10.1002/adts.202200615
- Retrofitting low-performance units to abate sewer overflow pollution based on mathematical model and Sobol algorithm Z. Zhao et al. 10.1007/s42241-023-0048-5
- Validation of a microalgal growth model accounting with inorganic carbon and nutrient kinetics for wastewater treatment B. Decostere et al. 10.1016/j.cej.2015.09.111
- Advancing Diagnostic Model Evaluation to Better Understand Water Shortage Mechanisms in Institutionally Complex River Basins A. Hadjimichael et al. 10.1029/2020WR028079
- Changes of potential evapotranspiration and its sensitivity across China under future climate scenarios P. Zeng et al. 10.1016/j.atmosres.2021.105763
- Global Sensitivity Analysis of environmental models: Convergence and validation F. Sarrazin et al. 10.1016/j.envsoft.2016.02.005
- Seasonal Hydrologic Forecasting: Do Multimodel Ensemble Averages Always Yield Improvements in Forecast Skill? T. Bohn et al. 10.1175/2010JHM1267.1
- Evaluation of five dry particle deposition parameterizations for incorporation into atmospheric transport models T. Khan & J. Perlinger 10.5194/gmd-10-3861-2017
- How much can we gain with increasing model complexity with the same model concepts? H. Li et al. 10.1016/j.jhydrol.2015.05.044
- A Process‐Based Model Integrating Remote Sensing Data for Evaluating Ecosystem Services Z. Niu et al. 10.1029/2020MS002451
- Evaluation of water quality of Chahnimeh as natural reservoirs from Sistan region in southwestern Iran: a Monte Carlo simulation and Sobol sensitivity assessment H. Kamani et al. 10.1007/s11356-023-26879-5
- A modified Sobol′ sensitivity analysis method for decision-making in environmental problems A. Ganji et al. 10.1016/j.envsoft.2015.10.001
- 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
- Parameter sensitivity of a distributed enhanced temperature-index melt model M. Heynen et al. 10.3189/2013AoG63A537
- Learning from model improvement: On the contribution of complementary data to process understanding F. Fenicia et al. 10.1029/2007WR006386
- Isolating parameter sensitivity in reach scale transient storage modeling N. Schmadel et al. 10.1016/j.advwatres.2015.12.020
- Assessing global parameters of slope stability model using Earth data observations for forecasting rainfall – induced shallow landslides J. Thomas et al. 10.1016/j.jappgeo.2023.104994
- Experimental and Model-Based Analysis to Optimize Microalgal Biomass Productivity in a Pilot-Scale Tubular Photobioreactor T. Weise et al. 10.3389/fbioe.2020.00453
- Parameter dimensionality reduction of a conceptual model for streamflow prediction in Canadian, snowmelt dominated ungauged basins R. Arsenault et al. 10.1016/j.advwatres.2015.08.014
- Improving structure identifiability of hydrological processes by temporal sensitivity with a flexible modeling framework L. Zhou et al. 10.1016/j.jhydrol.2022.128843
- Are we unnecessarily constraining the agility of complex process-based models? P. Mendoza et al. 10.1002/2014WR015820
- Advances and visions in large-scale hydrological modelling: findings from the 11th Workshop on Large-Scale Hydrological Modelling P. Döll et al. 10.5194/adgeo-18-51-2008
- A downward structural sensitivity analysis of hydrological models to improve low-flow simulation R. Pushpalatha et al. 10.1016/j.jhydrol.2011.09.034
- A post audit and inverse modeling in reactive transport: 50years of artificial recharge in the Amsterdam Water Supply Dunes R. Karlsen et al. 10.1016/j.jhydrol.2012.05.019
- Global sensitivity analysis for urban water quality modelling: Terminology, convergence and comparison of different methods P. Vanrolleghem et al. 10.1016/j.jhydrol.2014.12.056
- Three complementary methods for sensitivity analysis of a water quality model X. Sun et al. 10.1016/j.envsoft.2012.04.010
- Parameter sensitivity analysis and optimization for a satellite‐based evapotranspiration model across multiple sites using Moderate Resolution Imaging Spectroradiometer and flux data K. Zhang et al. 10.1002/2016JD025768
- Application of a pseudo simulator to evaluate the sensitivity of parameters in complex watershed models K. Sudheer et al. 10.1016/j.envsoft.2010.07.007
- Sensitivity analysis, calibration and validation of EPIC for modelling soil phosphorus dynamics in Swiss agro-ecosystems R. Della Peruta et al. 10.1016/j.envsoft.2014.08.018
- On selection of the optimal data time interval for real-time hydrological forecasting J. Liu & D. Han 10.5194/hess-17-3639-2013
- Assessing Uncertainty in Multicriteria Evaluation of Centralized and Decentralized Dual Water Supply Strategies J. Cole et al. 10.1061/(ASCE)WR.1943-5452.0001572
- Coupled hydrologic and hydraulic modeling for a lowland river basin in China J. Zhang et al. 10.1016/j.jhydrol.2024.132470
- Time scale dependent sensitivities of the XinAnJiang model parameters M. Lu & X. Li 10.3178/hrl.8.51
- How is a global sensitivity analysis of a catchment-scale, distributed pesticide transfer model performed? Application to the PESHMELBA model E. Rouzies et al. 10.5194/gmd-16-3137-2023
- Integrating UAV and Freely Available Space-Borne Data to Describe Tree Decline Across Semi-arid Mountainous Forests M. Ghasemi et al. 10.1007/s10666-023-09911-3
- A two-step sensitivity analysis for hydrological signatures in Jinhua River Basin, East China S. Pan et al. 10.1080/02626667.2017.1388917
- Estimating the Increase in Regional Evaporative Water Consumption as a Result of Vegetation Restoration Over the Loess Plateau, China R. Shao et al. 10.1029/2019JD031295
- Characterization of watershed model behavior across a hydroclimatic gradient K. van Werkhoven et al. 10.1029/2007WR006271
- Estimation of soil loss by the WATEM/SEDEM model using an automatic parameter estimation procedure N. Bezak et al. 10.1007/s12665-015-4534-0
- Free vibration analysis and multi-objective robust optimization of three-dimensional pyramidal truss core sandwich plates with interval uncertain parameters Y. Chen et al. 10.1016/j.euromechsol.2024.105401
- An empirical workflow to integrate uncertainty and sensitivity analysis to evaluate agent-based simulation outputs C. Abreu & C. Ralha 10.1016/j.envsoft.2018.06.013
- Evaluation of an urban drainage system and its resilience using remote sensing and GIS G. Guptha et al. 10.1016/j.rsase.2021.100601
- Foodweb modeling for polychlorinated biphenyls (PCBs) in the Twelvemile Creek Arm of Lake Hartwell, South Carolina, USA B. Rashleigh et al. 10.1016/j.ecolmodel.2008.09.007
- Parameter regionalization of a monthly water balance model for the conterminous United States A. Bock et al. 10.5194/hess-20-2861-2016
- Assessing effects of model complexity and structure on predictions of hydrological responses using serial and parallel model design H. Chien & D. Mackay 10.1002/hyp.13594
- Sources of uncertainty in modeling the glaciohydrological response of a Karakoram watershed to climate change S. Ragettli et al. 10.1002/wrcr.20450
- Parameter Sensitivity of a Surface Water Quality Model of the Lower South Saskatchewan River—Comparison Between Ice-On and Ice-Off Periods N. Hosseini et al. 10.1007/s10666-016-9541-3
- Calibration and validation of fatigue lifetime model in complex structures based on multi-level data X. Liu et al. 10.1016/j.ijfatigue.2022.106783
- Sensitivity and Uncertainty of Ground‐Water Discharge Estimates for Semiarid Shrublands1 J. Zhu & M. Young 10.1111/j.1752-1688.2009.00312.x
- Parametric sensitivity analysis of precipitation and temperature based on multi-uncertainty quantification methods in the Weather Research and Forecasting model Z. Di et al. 10.1007/s11430-016-9021-6
- Impacts of Climate Change on the Water Quality of a Regulated Prairie River N. Hosseini et al. 10.3390/w9030199
- How to Tailor My Process‐Based Hydrological Model? Dynamic Identifiability Analysis of Flexible Model Structures T. Pilz et al. 10.1029/2020WR028042
- A new multimedia contaminant fate model for China: How important are environmental parameters in influencing chemical persistence and long-range transport potential? Y. Zhu et al. 10.1016/j.envint.2014.03.020
- Quantification of predictive uncertainty with a metamodel: toward more efficient hydrologic simulations V. Tran & J. Kim 10.1007/s00477-019-01703-0
- A simple and efficient method for global sensitivity analysis based on cumulative distribution functions F. Pianosi & T. Wagener 10.1016/j.envsoft.2015.01.004
- Model‐based analysis of the influence of catchment properties on hydrologic partitioning across five mountain headwater subcatchments C. Kelleher et al. 10.1002/2014WR016147
- Socio-hydrologic modeling to understand and mediate the competition for water between agriculture development and environmental health: Murrumbidgee River basin, Australia T. van Emmerik et al. 10.5194/hess-18-4239-2014
- Quantifying plasticity in simulation models R. Confalonieri et al. 10.1016/j.ecolmodel.2011.11.022
- A general framework for Dynamic Emulation Modelling in environmental problems A. Castelletti et al. 10.1016/j.envsoft.2012.01.002
- Modified DNDC model to improve performance of soil temperature simulation under plastic film mulching and snow cover W. Zhao et al. 10.1016/j.compag.2023.108354
- Calibration of Rainfall-Runoff Model in Urban Watersheds for Stormwater Management Assessment N. Mancipe-Munoz et al. 10.1061/(ASCE)WR.1943-5452.0000382
- Distribution-based sensitivity analysis from a generic input-output sample F. Pianosi & T. Wagener 10.1016/j.envsoft.2018.07.019
- Characterization of process-oriented hydrologic model behavior with temporal sensitivity analysis for flash floods in Mediterranean catchments P. Garambois et al. 10.5194/hess-17-2305-2013
- Sensitivity analysis of effective population size to demographic parameters in house sparrow populations M. Stubberud et al. 10.1111/mec.14057
- Simulating typhoon-induced storm hydrographs in subtropical mountainous watershed: an integrated 3-layer TOPMODEL J. Huang et al. 10.5194/hess-13-27-2009
- Sensitivity analysis of environmental models: A systematic review with practical workflow F. Pianosi et al. 10.1016/j.envsoft.2016.02.008
- 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
- A General Probabilistic Framework for uncertainty and global sensitivity analysis of deterministic models: A hydrological case study G. Baroni & S. Tarantola 10.1016/j.envsoft.2013.09.022
- Sensitivity analysis of the DeNitrification and Decomposition model for simulating regional carbon budget at the wetland-grassland area on the Zoige Plateau, china J. Wang et al. 10.1007/s11629-015-3520-z
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- A Matlab toolbox for Global Sensitivity Analysis F. Pianosi et al. 10.1016/j.envsoft.2015.04.009
- Estimating parameters of the variable infiltration capacity model using ant colony optimization J. Yue et al. 10.2166/wst.2016.282
- Implementation and sensitivity analysis of the Dam-Reservoir OPeration model (DROP v1.0) over Spain M. Sadki et al. 10.5194/gmd-16-427-2023
- An efficient integrated approach for global sensitivity analysis of hydrological model parameters C. Zhan et al. 10.1016/j.envsoft.2012.10.009
- Sensitivity analysis of spatial models L. Lilburne & S. Tarantola 10.1080/13658810802094995
- Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model F. Khorashadi Zadeh et al. 10.1016/j.envsoft.2017.02.001
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- Screening‐Level Sensitivity Analysis for the Design of Pump‐and‐Treat Systems L. Matott 10.1111/j.1745-6592.2011.01375.x
- Development of a calibration approach using DNDC and PEST for improving estimates of management impacts on water and nutrient dynamics in an agricultural system A. Bhattarai et al. 10.1016/j.envsoft.2022.105494
- Understanding hydrological flow paths in conceptual catchment models using uncertainty and sensitivity analysis E. Mockler et al. 10.1016/j.cageo.2015.08.015
- Improvements to the hydrological processes of the Town Energy Balance model (TEB-Veg, SURFEX v7.3) for urban modelling and impact assessment X. Stavropulos-Laffaille et al. 10.5194/gmd-11-4175-2018
- Impact of temporal data resolution on parameter inference and model identification in conceptual hydrological modeling: Insights from an experimental catchment D. Kavetski et al. 10.1029/2010WR009525
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- Variance-based sensitivity analysis of a forest growth model X. Song et al. 10.1016/j.ecolmodel.2012.08.005
- Parameter sensitivity analysis and optimization of Noah land surface model with field measurements from Huaihe River Basin, China T. Hou et al. 10.1007/s00477-015-1033-5
- A comprehensive sensitivity and uncertainty analysis for discharge and nitrate-nitrogen loads involving multiple discrete model inputs under future changing conditions C. Schürz et al. 10.5194/hess-23-1211-2019
- Stepwise sensitivity analysis from qualitative to quantitative: Application to the terrestrial hydrological modeling of a Conjunctive Surface‐Subsurface Process (CSSP) land surface model Y. Gan et al. 10.1002/2014MS000406
- An Improved Approach for Estimating Pan Evaporation Using a New Aerodynamic Mechanism Model G. Qiu et al. 10.1029/2020WR027870
- Assimilation of AMSR-E snow water equivalent data in a spatially-lumped snow model D. Dziubanski & K. Franz 10.1016/j.jhydrol.2016.05.046
- Numerical model of the irradiance field surrounding a UV disinfection robot L. De Matteis et al. 10.1088/2057-1976/ac7e6e
- Innovative Digital Stochastic Methods for Multidimensional Sensitivity Analysis in Air Pollution Modelling V. Todorov & I. Dimov 10.3390/math10122146
- Unraveling the hydrology of a Himalayan catchment through integration of high resolution in situ data and remote sensing with an advanced simulation model S. Ragettli et al. 10.1016/j.advwatres.2015.01.013
- Evaluation of TOPLATS on three Mediterranean catchments J. Loizu et al. 10.1016/j.jhydrol.2016.05.025
- 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
- Future potential evapotranspiration changes and contribution analysis in Zhejiang Province, East China Y. Xu et al. 10.1002/2013JD021245
- Technical Note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models J. Herman et al. 10.5194/hess-17-2893-2013
- Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction J. Chu et al. 10.5194/hess-19-3557-2015
- An approach for global sensitivity analysis of a complex environmental model to spatial inputs and parameters: A case study of an agro-hydrological model P. Moreau et al. 10.1016/j.envsoft.2013.04.006
- MODIS-Based Potential Evapotranspiration Demand Curves for the Sacramento Soil Moisture Accounting Model A. Bowman et al. 10.1061/(ASCE)HE.1943-5584.0001261
- Sensitivity analysis and estimation using a hierarchical Bayesian method for the parameters of the FvCB biochemical photosynthetic model T. Han et al. 10.1007/s11120-019-00684-z
- Modeling farmer behavior in adopting agroecological practices using AI tools in shea butter agroforestry systems D. Gbemavo et al. 10.1016/j.heliyon.2024.e40600
- Modified calibration strategies and parameter regionalization potential for streamflow estimation using a hydrological model S. Guniganti et al. 10.1080/02626667.2024.2335294
- Uncertainty, sensitivity analysis and the role of data based mechanistic modeling in hydrology M. Ratto et al. 10.5194/hess-11-1249-2007
- Integration of Remote Sensing Evapotranspiration into Multi-Objective Calibration of Distributed Hydrology–Soil–Vegetation Model (DHSVM) in a Humid Region of China S. Pan et al. 10.3390/w10121841
- A new approach to evaluate spatiotemporal dynamics of controlling parameters in distributed environmental models Z. Chen et al. 10.1016/j.envsoft.2016.10.005
- The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support S. Razavi et al. 10.1016/j.envsoft.2020.104954
- An increasing trend in the ratio of transpiration to total terrestrial evapotranspiration in China from 1982 to 2015 caused by greening and warming Z. Niu et al. 10.1016/j.agrformet.2019.107701
- Stability mechanism and control of the pumpable supports in longwall recovery room D. Zhang et al. 10.1016/j.ijmst.2024.07.006
- Global sensitivity analysis for a prediction model of soil solute transfer into surface runoff C. Huang et al. 10.1016/j.jhydrol.2021.126342
- Many-objective de Novo water supply portfolio planning under deep uncertainty J. Kasprzyk et al. 10.1016/j.envsoft.2011.04.003
- Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest B. Bahrami et al. 10.5194/gmd-15-6957-2022
- Global sensitivity analysis of a model related to memory formation in synapses: Model reduction based on epistemic parameter uncertainties and related issues D. Kulasiri et al. 10.1016/j.jtbi.2017.02.003
- Evaluation of a new observationally based channel parameterization for the National Water Model A. Heldmyer et al. 10.5194/hess-26-6121-2022
- An approach to measure parameter sensitivity in watershed hydrological modelling T. Ranatunga et al. 10.1080/02626667.2016.1174335
- Regional analysis of parameter sensitivity for simulation of streamflow and hydrological fingerprints S. Höllering et al. 10.5194/hess-22-203-2018
- Sobol′’s sensitivity analysis for a distributed hydrological model of Yichun River Basin, China C. Zhang et al. 10.1016/j.jhydrol.2012.12.005
- Sensitivity analysis and calibration of a dynamic physically based slope stability model T. Zieher et al. 10.5194/nhess-17-971-2017
- Modeling and uncertainty analysis of carbon and water fluxes in a broad-leaved Korean pine mixed forest based on model-data fusion X. Ren et al. 10.1016/j.ecolmodel.2018.03.013
- Auswahl der Modellkomplexität für die Beschreibung der Sauerstoffverhältnisse in Fließgewässern und Poldern während Hochwasserereignissen I. Pech et al. 10.1007/s00506-008-0020-1
- A systematic assessment and reduction of parametric uncertainties for a distributed hydrological model Y. Gan et al. 10.1016/j.jhydrol.2018.07.055
- Identification of the Controlling Mechanism for Predicting Critical Loads in Elastomeric Bearings X. Han et al. 10.1061/(ASCE)ST.1943-541X.0000811
- 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
- Application of distributed hydrological models for predictions in ungauged basins: a method to quantify predictive uncertainty R. Cibin et al. 10.1002/hyp.9721
- Temporal Scale‐Dependent Sensitivity Analysis for Hydrological Model Parameters Using the Discrete Wavelet Transform and Active Subspaces D. Bittner et al. 10.1029/2020WR028511
- Lumped parameter sensitivity analysis of a distributed hydrological model within tropical and temperate catchments L. Cuo et al. 10.1002/hyp.8017
- Variance Based Sensitivity Analysis of FLake Lake Model for Global Land Surface Modeling A. Bernus et al. 10.1029/2019JD031928
- Identifiability of transient storage model parameters along a mountain stream C. Kelleher et al. 10.1002/wrcr.20413
- Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification K. Zhang et al. 10.1029/2018WR023485
- 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
- Transferability of a Conceptual Hydrological Model across Different Temporal Scales and Basin Sizes S. Sheng et al. 10.1007/s11269-020-02594-5
- Practical Use of Computationally Frugal Model Analysis Methods M. Hill et al. 10.1111/gwat.12330
- Data-Driven Sensitivity Analysis for Static Mechanical Properties of Additively Manufactured Ti–6Al–4V A. Sharma et al. 10.1115/1.4051799
- Proposal for the Introduction of the Spatial Perspective in the Application of Global Sensitivity Analysis W. Plata-Rocha et al. 10.4236/jgis.2012.46055
- Exploring the potential for parameter transfer from daily to hourly time step in the HYPE model for Sweden D. Fuentes-Andino et al. 10.1080/02626667.2022.2121165
- Diagnostic Framework for Evaluating How Parametric Uncertainty Influences Agro‐Hydrologic Model Projections of Crop Yields Under Climate Change T. Karimi et al. 10.1029/2021WR031249
- Sensitivity analysis and auto-calibration of ORYZA2000 using simulation-optimization framework B. Soundharajan & K. Sudheer 10.1007/s10333-011-0293-z
- DGSA: A Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments J. Park et al. 10.1016/j.cageo.2016.08.021
- A comprehensive assessment and comparison of the impacts of storage parameters on solute transport in streams using a novel framework S. Khodambashi Emami & M. Mazaheri 10.1016/j.jhydrol.2024.130873
- Potential evapotranspiration changes in Lancang River Basin and Yarlung Zangbo River Basin, southwest China D. Ma et al. 10.1080/02626667.2018.1524147
- Modelling bidirectional modulations in synaptic plasticity: A biochemical pathway model to understand the emergence of long term potentiation (LTP) and long term depression (LTD) Y. He et al. 10.1016/j.jtbi.2016.05.015
- Bioenergetic and water quality modeling for eutrophication assessment of El Pañe Reservoir, Peru A. Mamani Larico et al. 10.1016/j.ecohyd.2020.08.004
- Exploring snow model parameter sensitivity using Sobol' variance decomposition E. Houle et al. 10.1016/j.envsoft.2016.11.024
- Data-driven multi-objective affective product design integrating three-dimensional form and color Z. Wang et al. 10.1007/s00521-022-07232-2
- Hydrological Simulation and Parameter Optimization Based on the Distributed Xin’anjiang Model and the Particle Swarm Optimization Algorithm: A Case Study of Xunhe Watershed in Shandong, China Z. Wang et al. 10.3390/w16223168
- Assessing the predictive impact of factor fixing with an adaptive uncertainty-based approach Q. Wang et al. 10.1016/j.envsoft.2021.105290
- Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models K. van Werkhoven et al. 10.1016/j.advwatres.2009.03.002
- Evaluation of parameter interaction effect of hydrological models using the sparse polynomial chaos (SPC) method H. Wang et al. 10.1016/j.envsoft.2019.104612
- Flood hazard mapping for data-scarce and ungauged coastal river basins using advanced hydrodynamic models, high temporal-spatial resolution remote sensing precipitation data, and satellite imageries M. Trinh & F. Molkenthin 10.1007/s11069-021-04843-1
- Improved Understanding of River Ice Processes Using Global Sensitivity Analysis Approaches R. Sheikholeslami et al. 10.1061/(ASCE)HE.1943-5584.0001574
- A non-stationary cost-benefit analysis approach for extreme flood estimation to explore the nexus of ‘Risk, Cost and Non-stationarity’ W. Qi 10.1016/j.jhydrol.2017.09.009
- Increasing parameter identifiability through clustered time-varying sensitivity analysis L. Wang et al. 10.1016/j.envsoft.2024.106189
- Global Sensitivity of Penman–Monteith Reference Evapotranspiration to Climatic Variables in Mato Grosso, Brazil M. Sabino & A. de Souza 10.3390/earth4030038
- Quantifying uncertainty in urban flooding analysis considering hydro-climatic projection and urban development effects I. Jung et al. 10.5194/hess-15-617-2011
- Sensitivity and Interaction Analysis Based on Sobol’ Method and Its Application in a Distributed Flood Forecasting Model H. Wan et al. 10.3390/w7062924
- Evaluating the fate of six common pharmaceuticals using a reactive transport model: Insights from a stream tracer test J. Riml et al. 10.1016/j.scitotenv.2013.03.077
- Sobol's sensitivity analysis for a fuel cell stack assembly model with the aid of structure-selection techniques W. Zhang et al. 10.1016/j.jpowsour.2015.08.076
- How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps M. Antonetti & M. Zappa 10.5194/hess-22-4425-2018
- Environmental risk of dissolved oxygen depletion of diverted flood waters in river polder systems – A quasi-2D flood modelling approach K. Lindenschmidt et al. 10.1016/j.scitotenv.2008.11.024
- Evaluating Hydrologic Behavior of Hydrology Simulation using Time Area (HYSTAR) Model through Sensitivity Analysis Y. Her 10.5389/KSAE.2015.57.3.041
- Parameters Sensitivity Analysis of the Xin’anjiang Model under Different Temporal and Spatial Scales 晟. 盛 10.12677/JWRR.2018.76061
- Evaluation of statistical models for forecast errors from the HBV model K. Engeland et al. 10.1016/j.jhydrol.2010.01.018
- Diagnostic Assessment of Search Controls and Failure Modes in Many-Objective Evolutionary Optimization D. Hadka & P. Reed 10.1162/EVCO_a_00053
- Understanding catchment behavior through stepwise model concept improvement F. Fenicia et al. 10.1029/2006WR005563
- A primer on thermodynamic-based models for deciphering transcriptional regulatory logic J. Dresch et al. 10.1016/j.bbagrm.2013.04.011
- Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis J. Yang 10.1016/j.envsoft.2010.10.007
- Inferring model structural deficits by analyzing temporal dynamics of model performance and parameter sensitivity D. Reusser & E. Zehe 10.1029/2010WR009946
- Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models O. Rakovec et al. 10.1002/2013WR014063
- Historical pan evaporation changes in the Qiantang River Basin, East China Y. Xu et al. 10.1002/joc.4470
- Development and application of a hybrid artificial neural network model for simulating future stream flows in catchments with limited in situ observed data S. Mugume et al. 10.2166/hydro.2024.066
- Epistemic uncertainties and natural hazard risk assessment – Part 2: What should constitute good practice? K. Beven et al. 10.5194/nhess-18-2769-2018
- Modeling risk analysis for forecasting peak discharge during flooding prevention and warning operation S. Wu et al. 10.1007/s00477-010-0436-6
- Robust high-dimensional screening A. Kim et al. 10.1016/j.envsoft.2021.105270
- Modeling the relationship between air temperature and grapefruit quality traits C. Zhang et al. 10.1002/jsfa.12219
- 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
- Synergy between satellite observations of soil moisture and water storage anomalies for runoff estimation S. Camici et al. 10.5194/gmd-15-6935-2022
- Fuzzy-Based Model for Predicting Failure of Oil Pipelines A. Senouci et al. 10.1061/(ASCE)IS.1943-555X.0000181
- Human Health Implication of Major and Trace Elements Present in Commercial Crustaceans of a Traditional Seafood Marketing Region, Egypt G. El-Said et al. 10.1007/s12011-020-02126-7
- Contribution of the satellite-data driven snow routine to a karst hydrological model S. Çallı et al. 10.1016/j.jhydrol.2022.127511
- Identifying key sources of uncertainty in the modelling of greenhouse gas emissions from wastewater treatment C. Sweetapple et al. 10.1016/j.watres.2013.05.021
- What drives uncertainty surrounding riverine flood risks? I. Hosseini-Shakib et al. 10.1016/j.jhydrol.2024.131055
- Analysis of the behavior of a rainfall–runoff model using three global sensitivity analysis methods evaluated at different temporal scales C. Massmann & H. Holzmann 10.1016/j.jhydrol.2012.09.026
- Evaluation of the Parameter Sensitivities of a Coupled Land Surface Hydrologic Model at a Critical Zone Observatory Y. Shi et al. 10.1175/JHM-D-12-0177.1
- Sensitivity and identifiability of stream flow generation parameters of the SWAT model R. Cibin et al. 10.1002/hyp.7568
- Time‐varying sensitivity analysis clarifies the effects of watershed model formulation on model behavior J. Herman et al. 10.1002/wrcr.20124
- Modeling Soil Organic Carbon Changes under Alternative Climatic Scenarios and Soil Properties Using DNDC Model at a Semi-Arid Mediterranean Environment I. Lembaid et al. 10.3390/cli10020023
- Sobol’ sensitivity analysis of a complex environmental model J. Nossent et al. 10.1016/j.envsoft.2011.08.010
- Iterative integration of deep learning in hybrid Earth surface system modelling M. Chen et al. 10.1038/s43017-023-00452-7
- Valuing carbon assets for high-tech with application to the wind energy industry L. Han et al. 10.1016/j.enpol.2015.09.025
- Deep Uncertainties in Sea‐Level Rise and Storm Surge Projections: Implications for Coastal Flood Risk Management P. Oddo et al. 10.1111/risa.12888
- Sobol sensitivity approach for the appraisal of geomedical health risks associated with oral intake and dermal pathways of groundwater fluoride in a semi-arid region of south India D. Karunanidhi et al. 10.1016/j.ecoenv.2020.110438
- Cloud computing for integrated stochastic groundwater uncertainty analysis Y. Liu et al. 10.1080/17538947.2012.687778
- Evaluation of global sensitivity analysis methods for computational structural mechanics problems C. Crusenberry et al. 10.1017/dce.2023.23
- Perceptions of how occupants adopt water conservation behaviors under psychosocial processes: A complementary dual-stage SEM-ANN perspective S. Shahangian et al. 10.1016/j.scs.2024.105354
- Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basins J. Gomis-Cebolla et al. 10.1016/j.jhydrol.2022.127569
- A novel linear spectral unmixing-based method for tree decline monitoring by fusing UAV-RGB and optical space-borne data M. Ghasemi et al. 10.1080/01431161.2024.2305630
- Improving risk assessment in financial feasibility of international engineering projects: A risk driver perspective J. Liu et al. 10.1016/j.ijproman.2016.11.004
- Sensitivity of Simulating Hydrologic Processes to Gauge and Radar Rainfall Data in Subtropical Coastal Catchments J. Diaz-Ramirez et al. 10.1007/s11269-012-0088-z
- An analysis of parameter sensitivities of preference-inspired co-evolutionary algorithms R. Wang et al. 10.1080/00207721.2015.1008600
- Vegetation controls on surface energy partitioning and water budget over China X. Lan et al. 10.1016/j.jhydrol.2020.125646
- Inaction and climate stabilization uncertainties lead to severe economic risks M. Butler et al. 10.1007/s10584-014-1283-0
- Global sensitivity analysis for an integrated model for simulation of nitrogen dynamics under the irrigation with treated wastewater H. Sun et al. 10.1007/s11356-015-4860-5
- A dynamic parameter identification method for the 5-DOF hybrid robot based on sensitivity analysis Z. Luo et al. 10.1108/IR-08-2023-0178
- Multi-method global sensitivity analysis of flood inundation models F. Pappenberger et al. 10.1016/j.advwatres.2007.04.009
- Identifying parametric controls and dependencies in integrated assessment models using global sensitivity analysis M. Butler et al. 10.1016/j.envsoft.2014.05.001
- Time-dependent global sensitivity analysis of the C-RIVE biogeochemical model in contrasted hydrological and trophic contexts S. Wang et al. 10.1016/j.watres.2018.07.033
- Sensitivity of potential evapotranspiration to changes in climate variables for different Australian climatic zones D. Guo et al. 10.5194/hess-21-2107-2017
- A comprehensive evaluation of various sensitivity analysis methods: A case study with a hydrological model Y. Gan et al. 10.1016/j.envsoft.2013.09.031
- Analysis of parameter sensitivity on surface heat exchange in the Noah land surface model at a temperate desert steppe site in China G. Zhang et al. 10.1007/s13351-017-7050-1
- Emulation techniques for the reduction and sensitivity analysis of complex environmental models M. Ratto et al. 10.1016/j.envsoft.2011.11.003
- Identification of the dominant hydrological process and appropriate model structure of a karst catchment through stepwise simplification of a complex conceptual model Y. Chang et al. 10.1016/j.jhydrol.2017.02.050
- Uncertainty analysis of modeled carbon and water fluxes in a subtropical coniferous plantation X. Ren et al. 10.1002/2013JG002402
- Gross primary production-coupled evapotranspiration in the global arid and semi-arid regions based on the NIRv index Y. Su et al. 10.1016/j.jhydrol.2024.132012
- Sensitivity Analysis‐Based Automatic Parameter Calibration of the VIC Model for Streamflow Simulations Over China J. Gou et al. 10.1029/2019WR025968
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- Fatigue property prediction of additively manufactured Ti-6Al-4V using probabilistic physics-guided learning J. Chen & Y. Liu 10.1016/j.addma.2021.101876
- ON SENSITIVITY RANKING USING ANALYTIC HIERARCHY PROCESS H. DANG 10.1142/S0218488507004613
- Tree-based ensemble methods for sensitivity analysis of environmental models: A performance comparison with Sobol and Morris techniques M. Jaxa-Rozen & J. Kwakkel 10.1016/j.envsoft.2018.06.011
- Semi-arid rather than arid regions of China deserve the priority in drought mitigation efforts X. Lan et al. 10.1016/j.jhydrol.2024.131791
- Sensitivity Analysis for Hydraulic Models J. Hall et al. 10.1061/(ASCE)HY.1943-7900.0000098
- Divergent sensitivity of surface water and energy variables to precipitation product uncertainty in the Tibetan Plateau W. Qi et al. 10.1016/j.jhydrol.2019.124338
- Soil fungal dynamics: Parameterisation and sensitivity analysis of modelled physiological processes, soil architecture and carbon distribution K. Cazelles et al. 10.1016/j.ecolmodel.2012.08.008
- Identification of influential proteins in the classical retinoic acid signaling pathway H. Ghaffari & L. Petzold 10.1186/s12976-018-0088-7
- Dealing with uncertainty in ecosystem models: lessons from a complex salmon model P. McElhany et al. 10.1890/08-0625.1
- Addressing uncertainty in modelling cumulative impacts within maritime spatial planning in the Adriatic and Ionian region E. Gissi et al. 10.1371/journal.pone.0180501
- CMI: An online multi-objective genetic autoscaler for scientific and engineering workflows in cloud infrastructures with unreliable virtual machines D. Monge et al. 10.1016/j.jnca.2019.102464
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- Mathematical modeling of gene expression: a guide for the perplexed biologist A. Ay & D. Arnosti 10.3109/10409238.2011.556597
- A model comparison study of the flowering time regulatory network in Arabidopsis C. Wang et al. 10.1186/1752-0509-8-15
- Thermodynamic modeling of transcription: sensitivity analysis differentiates biological mechanism from mathematical model-induced effects J. Dresch et al. 10.1186/1752-0509-4-142
- Sensitivity analysis demonstrates limits to utility of lactation index for white‐tailed deer management K. Campbell et al. 10.1002/wsb.904
- Regional Snow Parameters Estimation for Large‐Domain Hydrological Applications in the Western United States N. Sun et al. 10.1029/2018JD030140
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