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Journal articles on the topic 'Global response sensitivity analysis'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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1

Greegar, G., and C. S. Manohar. "Global response sensitivity analysis of uncertain structures." Structural Safety 58 (January 2016): 94–104. http://dx.doi.org/10.1016/j.strusafe.2015.09.006.

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Abhinav, S., and C. S. Manohar. "Global Response Sensitivity Analysis of Randomly Excited Dynamic Structures." Journal of Engineering Mechanics 142, no. 3 (2016): 04015094. http://dx.doi.org/10.1061/(asce)em.1943-7889.0001019.

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3

Douthe, Cyril, Chloé Girardon, and Romain Boulaud. "Sensitivity Analysis of the Global Response of Flexible Rockfall Barriers." Geosciences 12, no. 2 (2022): 75. http://dx.doi.org/10.3390/geosciences12020075.

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Protection barriers against the fall of boulders and rocks are structures with non-linear mechanical behaviour that make the study particularly complex. In this study, the understanding of an experimentally observed variability was investigated numerically using a non-linear spring-mass equivalence. First, key figures of the experiments on which this study is based are detailed. Then, the numerical model for the dynamic simulation of the barrier deformation under impact is presented. Finally, the variability due to block-related parameters and then net-related parameters are explored and evide

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Soliman, Hatem, Izhar Ahmed Khan, and Yasir Hussain. "Global Sensitivity Analysis for Fuzzy RDF Data." International Journal of Software Engineering and Knowledge Engineering 31, no. 08 (2021): 1119–44. http://dx.doi.org/10.1142/s0218194021500352.

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The resource description framework (RDF) was adopted by the World Wide Web (W3C) as an essential semantic web standard and the RDF scheme. It accords the hard semantics in the description and wields the crisp metadata. However, it usually produces vague or ambiguous information. Consequently, fuzzy RDF helps deal with such special data by transforming the crisp values into a fuzzy set. A method for analyzing fuzzy RDF data is proposed in this paper. To this end, first, we decompose the RDF into fuzzy RDF variables. Second, we are designing a model for global sensitivity analysis based on the d

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Araya-Melo, P. A., M. Crucifix, and N. Bounceur. "Global sensitivity analysis of Indian Monsoon during the Pleistocene." Climate of the Past Discussions 10, no. 2 (2014): 1609–51. http://dx.doi.org/10.5194/cpd-10-1609-2014.

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Abstract. The sensitivity of Indian Monsoon to the full spectrum of climatic conditions experienced during the Pleistocene is estimated using the climate model HadCM3. The methodology follows a global sensitivity analysis based on the emulator approach of Oakley and O'Hagan (2004) implemented following a three-step strategy: (1) develop an experiment plan, designed to efficiently sample a 5-dimensional input space spanning Pleistocene astronomical configurations (3 parameters), CO2 concentration and a Northern Hemisphere glaciation index, (2) develop, calibrate and validate an emulator of HadC

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6

Jensen, Hector A. "Global Approximation of Response Surfaces and Application to Design Sensitivity Analysis." Applied Mechanics Reviews 48, no. 11S (1995): S181—S188. http://dx.doi.org/10.1115/1.3005069.

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An approach based on global approximations to obtain response surfaces of structural systems is presented. The response surfaces are then used to evaluate the sensitivity of the system by considering the global behavior of the system response when the design parameters vary within a bounded region. The formulation of the method is based on the determination of approximated response surfaces, which are computed by minimizing a residual function over the design space. Different coefficients of sensitivity are introduced to measure the global variability of the system response. A numerical exampl

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7

Mingliang, Zheng. "Robust Global Sensitivity Analysis for Robust Design under Parameter Uncertainty." Journal of Modern Mechanical Engineering and Technology 9 (September 4, 2022): 50–54. http://dx.doi.org/10.31875/2409-9848.2022.09.6.

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Abstract: Based on the theory and method of robust design, the robust global sensitivity analysis of products or systems under parameter uncertainty is discussed. A basic idea of the author is to define the robust sensitivity that is the importance measure of the design variables for product functional response function distribution. The Taylor series of moments of the functional response function is carried out, and the approximate analytical formulas of robust global sensitivity are obtained by using the importance measure model based on variance. Finally, a numerical example is given to ill

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8

Greegar, G., and C. S. Manohar. "Global response sensitivity analysis using probability distance measures and generalization of Sobol's analysis." Probabilistic Engineering Mechanics 41 (July 2015): 21–33. http://dx.doi.org/10.1016/j.probengmech.2015.04.003.

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9

Araya-Melo, P. A., M. Crucifix, and N. Bounceur. "Global sensitivity analysis of the Indian monsoon during the Pleistocene." Climate of the Past 11, no. 1 (2015): 45–61. http://dx.doi.org/10.5194/cp-11-45-2015.

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Abstract. The sensitivity of the Indian monsoon to the full spectrum of climatic conditions experienced during the Pleistocene is estimated using the climate model HadCM3. The methodology follows a global sensitivity analysis based on the emulator approach of Oakley and O'Hagan (2004) implemented following a three-step strategy: (1) development of an experiment plan, designed to efficiently sample a five-dimensional input space spanning Pleistocene astronomical configurations (three parameters), CO2 concentration and a Northern Hemisphere glaciation index; (2) development, calibration and vali

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10

Bhonsale, Satyajeet, Carlos André Muñoz López, and Jan Van Impe. "Global Sensitivity Analysis of a Spray Drying Process." Processes 7, no. 9 (2019): 562. http://dx.doi.org/10.3390/pr7090562.

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Spray drying is a key unit operation used to achieve particulate products of required properties. Despite its widespread use, the product and process design, as well as the process control remain highly empirical and depend on trial and error experiments. Studying the effect of operational parameters experimentally is tedious, time consuming, and expensive. In this paper, we carry out a model-based global sensitivity analysis (GSA) of the process. Such an exercise allows us to quantify the impact of different process parameters, many of which interact with each other, on the product properties

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11

Wei, Xiaojun, Jingwei Zhang, Hao Zhou, and Stana Živanović. "Sensitivity Analysis for Pedestrian-Induced Vibration in Footbridges." Buildings 12, no. 7 (2022): 883. http://dx.doi.org/10.3390/buildings12070883.

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This paper aims to provide a novel insight into the influence of uncertainties in system- and pedestrian-induced load parameters on the vibration response of footbridges. The study begins with a sensitivity analysis for the vertical vibration response of a representative footbridge to two loading cases: a single pedestrian and a crowd. Two methods are utilized: the Sobol’-based global sensitivity analysis method and the local sensitivity analysis method. Uncertainties in all model parameters (which include bridge and human body dynamics in a walking posture, as well as dynamic force generated

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12

Nguyen, T. H. "Global Sensitivity Analysis of In-plane Elastic Buckling of Steel Arches." Engineering, Technology & Applied Science Research 10, no. 6 (2020): 6476–80. https://doi.org/10.48084/etasr.3833.

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Steel arches are widely used in civil engineering and industrial structures. Their response depends on material properties, geometric dimensions, and boundary conditions. The objective of the current study is to perform global sensitivity analysis and to assess the influence of random input parameters on the in-plane elastic buckling of steel arches. The in-plane elastic buckling load of steel arches under uniform compression proposed in previous studies is adopted. The influence of the random input variables of the structure is evaluated using Sobol’s global sensitivity analysis. Monte

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13

Emery, A. F., and D. Bardot. "Determination of the Sensitivity of Heat Transfer Systems Using Global Sensitivity and Gaussian Processes." Journal of Heat Transfer 129, no. 8 (2006): 1075–81. http://dx.doi.org/10.1115/1.2737478.

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A critical aspect of the design of systems or experiments is a sensitivity analysis to determine the effects of the different variables. This is usually done by representing the response by a Taylor series and evaluating the first-order derivatives at a nominal operating point. When there is uncertainty about the operating point, the common approach is the construction of a response surface and Monte Carlo sampling based on the probability distribution of these uncertain variables. Because of the expense of Monte Carlo sampling, it is important to restrict the analysis to those variables to wh

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14

Bokov, Pavel M. "Asymptotic Analysis for the Variance-Based Global Sensitivity Indices." Science and Technology of Nuclear Installations 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/253045.

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We discuss the estimation of the uncertainty and sensitivity parameters for a model response under the assumption that the input variables are normally distributed and block-wise correlated with the covariance matrix, which is small in some norm. These conditions may arise when considering the impact of the group-wise neutron cross-sections' uncertainties on the uncertainty of some reactor parameters such as the neutron multiplication factor. The variance-based global sensitivity analysis, considered in our work, involves the calculation of multidimensional integrals. When the input uncertaint

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15

Bounceur, N., M. Crucifix, and R. D. Wilkinson. "Global sensitivity analysis of the climate–vegetation system to astronomical forcing: an emulator-based approach." Earth System Dynamics Discussions 5, no. 2 (2014): 901–43. http://dx.doi.org/10.5194/esdd-5-901-2014.

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Abstract. A global sensitivity analysis is used to describe the response of the Earth Climate Model of Intermediate Complexity LOVECLIM to components of the astronomical forcing (longitude of perihelion, obliquity, and eccentricity) assuming interglacial boundary conditions. Compared to previous studies, the sensitivity is global in the sense that it considers the full range of astronomical forcing that occurred during the Quaternary. We provide a geographical description of the variance due to the different components and their combinations and identify non-linear responses. The methodology r

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Liu, Fuchao, Pengfei Wei, Chenghu Tang, Pan Wang, and Zhufeng Yue. "Global sensitivity analysis for multivariate outputs based on multiple response Gaussian process model." Reliability Engineering & System Safety 189 (September 2019): 287–98. http://dx.doi.org/10.1016/j.ress.2019.04.039.

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17

Yang, Fan, Weihua Xie, and Songhe Meng. "Global sensitivity analysis of low-velocity impact response of bio-inspired helicoidal laminates." International Journal of Mechanical Sciences 187 (December 2020): 106110. http://dx.doi.org/10.1016/j.ijmecsci.2020.106110.

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18

Zhou, Bing, Yuan Geng, and Xiaoting Huang. "Global sensitivity analysis of hydraulic system parameters to hydraulically interconnected suspension dynamic response." International Journal of Vehicle Noise and Vibration 11, no. 2 (2015): 185. http://dx.doi.org/10.1504/ijvnv.2015.070030.

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19

Su, Lei, Xiaoyu Zhang, Libo Xie, et al. "Response characteristic of crane-wharf interaction system: Numerical simulation and global sensitivity analysis." Ocean Engineering 266 (December 2022): 113011. http://dx.doi.org/10.1016/j.oceaneng.2022.113011.

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20

Zhang, Feng, Xiayu Xu, Lu Wang, Zhongbing Liu, and Ling Zhang. "Global sensitivity analysis of two‐stage thermoelectric refrigeration system based on response variance." International Journal of Energy Research 44, no. 8 (2020): 6623–30. http://dx.doi.org/10.1002/er.5398.

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21

Longfei, Tian, Lu Zhenzhou, and Hao Wenrui. "Investigation of the uncertainty of the in-plane mechanical properties of composite laminates." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 226, no. 7 (2011): 1739–50. http://dx.doi.org/10.1177/0954406211426638.

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The uncertainty of the in-plane mechanical properties of the laminate used in an aircraft wing structure is investigated. Global sensitivity analysis is used to identify the source of the uncertainties of the response performance. Due to the limitations of the existing global sensitivity analysis method for nonlinear models with correlated input variables, a new one using nonlinear regression is proposed. Furthermore, a contribution matrix is defined for engineering convenience. Two nonlinear numerical examples are employed in this article to demonstrate the ability of the proposed global sens

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22

Zhao, Zhihong, and Huanqin Hu. "Boundedness, stability and pattern formation for a predator-prey model with Sigmoid functional response and prey-taxis." Electronic Journal of Differential Equations 2023, no. 01-37 (2023): 37. http://dx.doi.org/10.58997/ejde.2023.37.

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This article concerns the structure of the nonconstant steady states for a predator-prey model of Leslie-Gower type with Sigmoid functional and prey-taxis subject to the homogeneous Neumann boundary condition. The existence of bounded classical global solutions is discussed in bounded domains with arbitrary spatial dimension and any prey-taxis sensitivity coefficient. The local stability of the homogeneous steady state is analyzed to show that the prey-taxis sensitivity coefficient destabilizes the stability of the homogeneous steady state when prey defends. Then we study the existence and sta

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23

Nguyen, Τ. Η. "Global Sensitivity Analysis Of In-Plane Elastic Buckling Of Steel Arches." Engineering, Technology & Applied Science Research 10, no. 6 (2020): 6476–80. http://dx.doi.org/10.48084/etasr.3833.

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Steel arches are widely used in civil engineering and industrial structures. Their response depends on material properties, geometric dimensions, and boundary conditions. The objective of the current study is to perform global sensitivity analysis and to assess the influence of random input parameters on the in-plane elastic buckling of steel arches. The in-plane elastic buckling load of steel arches under uniform compression proposed in previous studies is adopted. The influence of the random input variables of the structure is evaluated using Sobol’s global sensitivity analysis. Monte Carlo

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24

Tsokanas, Nikolaos, Roland Pastorino, and Božidar Stojadinović. "A Comparison of Surrogate Modeling Techniques for Global Sensitivity Analysis in Hybrid Simulation." Machine Learning and Knowledge Extraction 4, no. 1 (2021): 1–21. http://dx.doi.org/10.3390/make4010001.

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Hybrid simulation is a method used to investigate the dynamic response of a system subjected to a realistic loading scenario. The system under consideration is divided into multiple individual substructures, out of which one or more are tested physically, whereas the remaining are simulated numerically. The coupling of all substructures forms the so-called hybrid model. Although hybrid simulation is extensively used across various engineering disciplines, it is often the case that the hybrid model and related excitation are conceived as being deterministic. However, associated uncertainties ar

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25

Dell'Oca, Aronne, Monica Riva, and Alberto Guadagnini. "Moment-based metrics for global sensitivity analysis of hydrological systems." Hydrology and Earth System Sciences 21, no. 12 (2017): 6219–34. http://dx.doi.org/10.5194/hess-21-6219-2017.

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Abstract. We propose new metrics to assist global sensitivity analysis, GSA, of hydrological and Earth systems. Our approach allows assessing the impact of uncertain parameters on main features of the probability density function, pdf, of a target model output, y. These include the expected value of y, the spread around the mean and the degree of symmetry and tailedness of the pdf of y. Since reliable assessment of higher-order statistical moments can be computationally demanding, we couple our GSA approach with a surrogate model, approximating the full model response at a reduced computationa

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26

Liverman, Diana M. "The response of a global food model to possible climate changes: A sensitivity analysis." Journal of Climatology 6, no. 4 (1986): 355–73. http://dx.doi.org/10.1002/joc.3370060403.

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27

Sun, Wei, Maolin Shi, Jieling Li, Xin Ding, Lintao Wang, and Xueguan Song. "Surrogate-Based Multisource Sensitivity Analysis of TBM Driving System." Shock and Vibration 2018 (July 3, 2018): 1–14. http://dx.doi.org/10.1155/2018/5187535.

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TBM cutterhead driving system is generally an extraordinarily large and complex machine containing lots of parameters; understanding and assessment of its dynamic characteristics are a great challenge as each of these parameters has uncertainty. In this work, a hierarchical modeling method for the dynamic model of the complex gear transmission system is proposed based on the generalized finite element modeling idea. On this basis, the whole machine dynamic model of cutterhead driving system is established; both the characteristics of vibration responses and the meshing force are revealed. Vibr

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28

Alharbi, Turki D., and Md Rifat Hasan. "Global stability and sensitivity analysis of vector-host dengue mathematical model." AIMS Mathematics 9, no. 11 (2024): 32797–818. http://dx.doi.org/10.3934/math.20241569.

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<p>Dengue impacts 129 nations, threatens over 50% of the global population, and results in around 400 million illnesses annually. The purpose of this paper was to build the global stability and sensitivity analysis of a vector-host dengue mathematical model with compartments of symptomatic and hospitalized infected humans. Additionally, it aimed to assess the impact of the immunological response of vulnerable individuals, through the ingestion of natural foods, on the transmission of the disease. The solution's positivity and boundedness proved the model's mathematical well-posedness. To

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29

Zhang, Yu, Guolin Wang, Haichao Zhou, Jintao Zhang, Xiangliang Li, and Xin Wang. "Optimization of Sensor Targeting Configuration for Intelligent Tire Force Estimation Based on Global Sensitivity Analysis and RBF Neural Networks." Applied Sciences 15, no. 7 (2025): 3913. https://doi.org/10.3390/app15073913.

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Tire force is a critical state parameter for vehicle dynamics control systems during vehicle operation. Compared with tire force estimation methods relying on vehicle dynamics or tire models, intelligent tire technology can provide real-time feedback regarding tire–road interactions to the vehicle control system. To address the demand for accurate tire force prediction in active safety control systems under various operating conditions, this paper proposes an intelligent tire force estimation method, integrating sensor-measured dynamic response parameters and machine learning techniques. A 205

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Jensen, H. A., and A. O. Cifuentes. "A Global Multidimensional Sensitivity Analysis of Electronic Systems Subjected to Time-Dependent Excitations." Journal of Electronic Packaging 120, no. 4 (1998): 391–94. http://dx.doi.org/10.1115/1.2792652.

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This technical note presents a global sensitivity analysis method for the dynamic response of electronic systems considering several design parameters at the same time. The method is an extension of a previous method presented by the authors for the one-dimensional case (only one design variable at a time was considered subjected to uncertainty). The method is expected to be useful in the design, analysis and qualification of electronic components.

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31

Korngold, J. C., and G. A. Gabriele. "Multidisciplinary Analysis and Optimization of Discrete Problems Using Response Surface Methods." Journal of Mechanical Design 119, no. 4 (1997): 427–33. http://dx.doi.org/10.1115/1.2826386.

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The objective of this paper is to present a new algorithm to efficiently optimize multidisciplinary, coupled nonhierarchic systems with discrete variables. The algorithm decomposes the system into contributing disciplines, and uses designed experiments within the disciplines to build local response surface approximations to the discipline analysis. First and second order Global Sensitivity Equations are formulated and approximated by experimental data to build approximations to the global design space. The global approximation is optimized using branch and bound or simulated annealing. Converg

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Dommenget, Dietmar. "Analysis of the Model Climate Sensitivity Spread Forced by Mean Sea Surface Temperature Biases." Journal of Climate 25, no. 20 (2012): 7147–62. http://dx.doi.org/10.1175/jcli-d-11-00600.1.

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Abstract Uncertainties in the numerical realization of the physical climate system in coarse-resolution climate models in the Coupled Model Intercomparison Project phase 3 (CMIP3) cause large spread in the global mean and regional response amplitude to a given anthropogenic forcing scenario, and they cause the climate models to have mean state climates different from the observed and different from each other. In a series of sensitivity simulations with an atmospheric general circulation model coupled to a Slab Ocean Model, the role of differences in the control mean sea surface temperature (S

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Nordström, Karin, and David C. O'Carroll. "The motion after-effect: local and global contributions to contrast sensitivity." Proceedings of the Royal Society B: Biological Sciences 276, no. 1662 (2009): 1545–54. http://dx.doi.org/10.1098/rspb.2008.1932.

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Motion adaptation is a widespread phenomenon analogous to peripheral sensory adaptation, presumed to play a role in matching responses to prevailing current stimulus parameters and thus to maximize efficiency of motion coding. While several components of motion adaptation (contrast gain reduction, output range reduction and motion after-effect) have been described, previous work is inconclusive as to whether these are separable phenomena and whether they are locally generated. We used intracellular recordings from single horizontal system neurons in the fly to test the effect of local adaptati

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Ruiz, Rafael O., and Viviana Meruane. "Uncertainties propagation and global sensitivity analysis of the frequency response function of piezoelectric energy harvesters." Smart Materials and Structures 26, no. 6 (2017): 065003. http://dx.doi.org/10.1088/1361-665x/aa6cf3.

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Utoyo, Arsa Widitiarsa, Geofakta Razali, Algooth Putranto, and Kurnia Setiawan. "Navigating Crisis: The Dynamics of Global Communication Response in Indonesia." Open Society Conference 2 (March 12, 2025): 162–69. https://doi.org/10.33830/osc.v2i1.5186.

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This study examines the complexities of crisis communication in the context of Indonesia, considering the nation’s vulnerability to a range of crises, such as health problems, political upheaval, and natural catastrophes. Using a mixed-methods approach, the study combined social network analysis, surveys, content analysis, and qualitative interviews to give a thorough knowledge of the dynamics of crisis communication.Important conclusions emphasize the important of social media and other international communication channels to coordinate crisis response and speedy information distribution. How

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36

Brunner, Patrick C., Tryggvi S. Stefansson, James Fountaine, Veronica Richina, and Bruce A. McDonald. "A Global Analysis of CYP51 Diversity and Azole Sensitivity in Rhynchosporium commune." Phytopathology® 106, no. 4 (2016): 355–61. http://dx.doi.org/10.1094/phyto-07-15-0158-r.

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CYP51 encodes the target site of the azole class of fungicides widely used in plant protection. Some ascomycete pathogens carry two CYP51 paralogs called CYP51A and CYP51B. A recent analysis of CYP51 sequences in 14 European isolates of the barley scald pathogen Rhynchosporium commune revealed three CYP51 paralogs, CYP51A, CYP51B, and a pseudogene called CYP51A-p. The same analysis showed that CYP51A exhibits a presence/absence polymorphism, with lower sensitivity to azole fungicides associated with the presence of a functional CYP51A. We analyzed a global collection of nearly 400 R. commune i

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Nuñez, Eduardo, Ramón Mata, Jorge Castro, Nelson Maureira, Néstor Guerrero, and Ángel Roco. "Influence of Global Slenderness and Sliding Pallets on Seismic Design of Steel Storage Racks: A Sensitivity Analysis." Buildings 12, no. 11 (2022): 1826. http://dx.doi.org/10.3390/buildings12111826.

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In this research, the influence of global slenderness and sliding pallets factor on the seismic design of steel storage racks are assessed. Variations in span length, the height of storage levels, live load, and percentage of live load considered in the seismic mass are studied for different levels of seismic zone and soil type. The models were designed according to the Chilean Code NCh2369. Subsequently, a global sensitivity analysis was developed to analyze the influence of each studied parameter in the seismic design response in terms of fundamental period, drift, and base shear from a resp

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Fläschner, Dagmar, Thorsten Mauritsen, and Bjorn Stevens. "Understanding the Intermodel Spread in Global-Mean Hydrological Sensitivity*." Journal of Climate 29, no. 2 (2016): 801–17. http://dx.doi.org/10.1175/jcli-d-15-0351.1.

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Abstract This paper assesses intermodel spread in the slope of global-mean precipitation change ΔP with respect to surface temperature change. The ambiguous estimates in the literature for this slope are reconciled by analyzing four experiments from phase 5 of CMIP (CMIP5) and considering different definitions of the slope. The smallest intermodel spread (a factor of 1.5 between the highest and lowest estimate) is found when using a definition that disentangles temperature-independent precipitation changes (the adjustments) from the slope of the temperature-dependent precipitation response; he

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Shafer, S. R., R. A. Reinert, G. Eason, and S. E. Spruill. "Analysis of ozone concentration–biomass response relationships among open-pollinated families of loblolly pine." Canadian Journal of Forest Research 23, no. 4 (1993): 706–15. http://dx.doi.org/10.1139/x93-092.

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Tropospheric ozone may contribute to the reported growth decline of pines in the southeastern United States. Ozone concentration–response relationships were quantified for open-pollinated families of loblolly pine (Pinustaeda L.) seedlings. Seedlings from 30 families were exposed to ozone (0, 80, 160, 240, or 320 nL O3/L air) in greenhouse chambers for 6 h per day, 4 days per week, for 12 weeks. Top (shoot) and root biomass were determined for each of 900 plants. Twelve families were selected for a subsequent experiment to examine consistency of results (360 plants). For each response variable

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Huang, Y. Y., and S. Gerber. "Global soil nitrous oxide emissions in a dynamic carbon–nitrogen model." Biogeosciences Discussions 12, no. 3 (2015): 3101–43. http://dx.doi.org/10.5194/bgd-12-3101-2015.

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Abstract. Nitrous oxide (N2O) is an important greenhouse gas that also contributes to the depletion of stratospheric ozone. With high temporal and spatial heterogeneity, a quantitative understanding of terrestrial N2O emission, its variabilities and reponses to climate change is challenging. We added a soil N2O emission module to the dynamic global land model LM3V-N, and tested its sensitivity to soil moisture regime and responses to elevated CO2 and temperature. The model was capable of reproducing the average of cross-site observed annual mean emissions, although differences remained across

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Wang, Jingyi. "The response of Pacific decadal variability to global warming." Applied and Computational Engineering 59, no. 1 (2024): 36–42. http://dx.doi.org/10.54254/2755-2721/59/20240744.

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Pacific Decadal Variability (PDV) plays a pivotal role in understanding climate shifts. This study focuses on investigating the primary components of PDV, namely, the Pacific Decadal Oscillation (PDO) and the North Pacific Gyre Oscillation (NPGO). These components are defined as the first and second principal modes of the North Pacific sea surface temperature anomaly field. Our analysis indicates that under the influence of global warming, both PDO and NPGO exhibit a weakening of the amplitude and a shortening of the period. Furthermore, NPGO demonstrates a more pronounced response to a 2C war

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Bounceur, N., M. Crucifix, and R. D. Wilkinson. "Global sensitivity analysis of the climate–vegetation system to astronomical forcing: an emulator-based approach." Earth System Dynamics 6, no. 1 (2015): 205–24. http://dx.doi.org/10.5194/esd-6-205-2015.

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Abstract. A global sensitivity analysis is performed to describe the effects of astronomical forcing on the climate–vegetation system simulated by the model of intermediate complexity LOVECLIM in interglacial conditions. The methodology relies on the estimation of sensitivity measures, using a Gaussian process emulator as a fast surrogate of the climate model, calibrated on a set of well-chosen experiments. The outputs considered are the annual mean temperature and precipitation and the growing degree days (GDD). The experiments were run on two distinct land surface schemes to estimate the imp

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Zhu, Chao, Ping Zhu, and Jiahai Lu. "Global Sensitivity Analysis for the Elastic Properties of Unidirectional Carbon Fibre Reinforced Composites Based on Metamodels." Polymers and Polymer Composites 26, no. 3 (2018): 205–21. http://dx.doi.org/10.1177/096739111802600301.

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A fast and effective numerical method to predict mechanical properties of carbon fibre reinforced polymer (CFRP) composites, even elastic properties, is complicated due to the mismatch of mechanical properties among the constituents. Furthermore, it is not possible to completely characterise the influence of multiple parameters including mechanical and structural parameters on the bulk properties of CFRP by experiments. In this study, a three-phase finite-element model consisting of matrix, carbon fibre and interface was developed to predict the elastic mechanical behaviour of unidirectional C

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Höllering, Simon, Jan Wienhöfer, Jürgen Ihringer, Luis Samaniego, and Erwin Zehe. "Regional analysis of parameter sensitivity for simulation of streamflow and hydrological fingerprints." Hydrology and Earth System Sciences 22, no. 1 (2018): 203–20. http://dx.doi.org/10.5194/hess-22-203-2018.

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Abstract. Diagnostics of hydrological models are pivotal for a better understanding of catchment functioning, and the analysis of dominating model parameters plays a key role for region-specific calibration or parameter transfer. A major challenge in the analysis of parameter sensitivity is the assessment of both temporal and spatial differences of parameter influences on simulated streamflow response. We present a methodological approach for global sensitivity analysis of hydrological models. The multilevel approach is geared towards complementary forms of streamflow response targets, and com

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Carey, Joanna C., Jianwu Tang, Pamela H. Templer, et al. "Temperature response of soil respiration largely unaltered with experimental warming." Proceedings of the National Academy of Sciences 113, no. 48 (2016): 13797–802. http://dx.doi.org/10.1073/pnas.1605365113.

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The respiratory release of carbon dioxide (CO2) from soil is a major yet poorly understood flux in the global carbon cycle. Climatic warming is hypothesized to increase rates of soil respiration, potentially fueling further increases in global temperatures. However, despite considerable scientific attention in recent decades, the overall response of soil respiration to anticipated climatic warming remains unclear. We synthesize the largest global dataset to date of soil respiration, moisture, and temperature measurements, totaling >3,800 observations representing 27 temperature manipulation

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Liepert, Beate G., and Michael Previdi. "Do Models and Observations Disagree on the Rainfall Response to Global Warming?" Journal of Climate 22, no. 11 (2009): 3156–66. http://dx.doi.org/10.1175/2008jcli2472.1.

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Abstract Recently analyzed satellite-derived global precipitation datasets from 1987 to 2006 indicate an increase in global-mean precipitation of 1.1%–1.4% decade−1. This trend corresponds to a hydrological sensitivity (HS) of 7% K−1 of global warming, which is close to the Clausius–Clapeyron (CC) rate expected from the increase in saturation water vapor pressure with temperature. Analysis of two available global ocean evaporation datasets confirms this observed intensification of the atmospheric water cycle. The observed hydrological sensitivity over the past 20-yr period is higher by a facto

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Thorsen, Tyler J., Richard A. Ferrare, Seiji Kato, and David M. Winker. "Aerosol Direct Radiative Effect Sensitivity Analysis." Journal of Climate 33, no. 14 (2020): 6119–39. http://dx.doi.org/10.1175/jcli-d-19-0669.1.

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AbstractBoth to reconcile the large range in satellite-based estimates of the aerosol direct radiative effect (DRE) and to optimize the design of future observing systems, this study builds a framework for assessing aerosol DRE uncertainty. Shortwave aerosol DRE radiative kernels (Jacobians) were derived using the MERRA-2 reanalysis data. These radiative kernels give the differential response of the aerosol DRE to perturbations in the aerosol extinction coefficient, aerosol single-scattering albedo, aerosol asymmetry factor, surface albedo, cloud fraction, and cloud optical depth. This compreh

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Quetin, Gregory R., and Abigail L. S. Swann. "Empirically Derived Sensitivity of Vegetation to Climate across Global Gradients of Temperature and Precipitation." Journal of Climate 30, no. 15 (2017): 5835–49. http://dx.doi.org/10.1175/jcli-d-16-0829.1.

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The natural composition of terrestrial ecosystems can be shaped by climate to take advantage of local environmental conditions. Ecosystem functioning (e.g., interaction between photosynthesis and temperature) can also acclimate to different climatological states. The combination of these two factors thus determines ecological–climate interactions. A global empirical map of the sensitivity of vegetation to climate is derived using the response of satellite-observed greenness to interannual variations in temperature and precipitation. Mechanisms constraining ecosystem functioning are inferred by

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BACH, EVIATAR, VALENTINA RADIĆ, and CHRISTIAN SCHOOF. "How sensitive are mountain glaciers to climate change? Insights from a block model." Journal of Glaciology 64, no. 244 (2018): 247–58. http://dx.doi.org/10.1017/jog.2018.15.

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ABSTRACTSimple models of glacier volume evolution are important in understanding features of glacier response to climate change, due to the scarcity of data adequate for running more complex models on a global scale. Two quantities of interest in a glacier's response to climate changes are its response time and its volume sensitivity to changes in the equilibrium line altitude (ELA). We derive a simplified, computationally inexpensive model of glacier volume evolution based on a block model with volume–area–length scaling. After analyzing its steady-state properties, we apply the model to each

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Zhangchun, Tang, Lu Zhenzhou, Pan Wang, and Zhang Feng. "An entropy-based global sensitivity analysis for the structures with both fuzzy variables and random variables." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 227, no. 2 (2012): 195–212. http://dx.doi.org/10.1177/0954406212448575.

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Based on the entropy of the uncertain variable, a novel importance measure is proposed to identify the effect of the uncertain variables on the system, which is subjected to the combination of random variables and fuzzy variables. For the system with the mixture of random variables and fuzzy variables, the membership function of the failure probability can be obtained by the uncertainty propagation theory first. And then the effect of each input variable on the output response of the system can be evaluated by measuring the shift between entropies of two membership functions of the failure pro

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