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Andrea
Saltelli, Ksenia Aleksankina, William Becker, Pamela Fennell, Federico Ferretti, Niels Holst, Sushan Li, Qiongli Wu, Why so many published sensitivity analyses are false: a systematic review of sensitivity analysis practices, Environmental Modelling and Software, Volume 114, April 2019, Pages
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Rogers, C. C. M., Beven, K. J., Morris, E. M. & Anderson, M. G., Sensitivity analysis, calibration and predictive uncertainty of the
Institute of Hydrology Distributed Model, 30/10/1985, In : Journal of Hydrology. 81, 1-2, p.
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studies the relationship between the output of a model and its input variables or assumptions. Historically, the need for a role of sensitivity analysis in modelling, and many applications of sensitivity analysis have originated from
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S. Razavi, R. Sheikholeslami, A. Haghnegahdar, and B. Esfahbod, “VARS-TOOL: A Comprehensive, Efficient, and Robust
Sensitivity Analysis Toolbox,” Am. Geophys. Union, Fall Gen. Assem. 2016, Abstr. id. H11A-1287,
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J. Badham et al., “Effective modeling for
Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities,” Environ. Model. Softw., vol. 116, pp. 40–56, Jun.
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Several methods related sensitivity analysis have been developed in the context of environmental applications, such as Data Based
Mechanistic Model due to Peter Young and VARS due to S. Razavi and H. V.Gupta.
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George M.Hornberger and
Bernard J.Cosby, Selection of parameter values in environmental models using sparse data: A case study, Applied Mathematics and Computation, Volume 17, Issue 4, November 1985, Pages
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R.C.Spear, G.M.Hornberger, Eutrophication in peel inlet—II. Identification of critical uncertainties via generalized sensitivity analysis, Water
Research, Volume 14, Issue 1, 1980, Pages 43-49.
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S. Razavi and H. V. Gupta, “A new framework for comprehensive, robust, and efficient global sensitivity analysis: 2. Application,” Water Resour. Res., vol. 52, no. 1, pp. 440–455, Jan. 2016.
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Tarantola, S.; Giglioli, N.; Jesinghaus, J.; Saltelli, A. (2002). "Can global sensitivity analysis steer the implementation of models for environmental assessments and decision-making?".
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S. Razavi and H. V. Gupta, “A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory,” Water Resour. Res., vol. 52, no. 1, pp. 423–439, Jan. 2016.
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A. J. Jakeman, R. A. Letcher, and J. P. Norton, “Ten iterative steps in development and evaluation of environmental models,” Environ. Model. Softw., vol. 21, no. 5, pp. 602–614, 2006.
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J. C. Little et al., “A tiered, system-of-systems modeling framework for resolving complex socio-environmental policy issues,” Environ. Model. Softw., vol. 112, pp. 82–94, Feb. 2019.
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Borgonovo, E.; Lu, X.; Plischke, E.; Rakovec, O.; Hill, M.C. (2017). "Making the most out of a hydrological model data set: Sensitivity analyses to open the model black‐box".
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S. H. Hamilton et al., “A framework for characterising and evaluating the effectiveness of environmental modelling,” Environ. Model. Softw., vol. 118, pp. 83–98, Aug. 2019.
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F. Pianosi et al., “Sensitivity analysis of environmental models: A systematic review with practical workflow,” Environ. Model. Softw., vol. 79, pp. 214–232, May 2016.
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P. Young, “Data-based mechanistic modelling, generalised sensitivity and dominant mode analysis,” Comput. Phys. Commun., vol. 117, no. 1–2, pp. 113–129, Mar. 1999.
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More recent applications encompass snow avalanche models, land depletion, marine biogeochemical modelling, irrigation and again hydrological modelling.
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are two modelling fields where sensitivity analysis was applied quite early. Relevant examples are the work of Bruce Beck, George M. Hornberger,
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M. Bruce Beck, 1987, WATER QUALITY MODELING: A REVIEW OF THE ANALYSIS OF UNCERTAINTY, Water
Resources Research, volume 23, No. 8, August 1987.
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In a 2019 work on the take-up of sensitivity analysis in different disciplines, among 19 different subject areas,
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Special Issue on Sensitivity analysis for environmental modelling, Environmental Modelling and Software, 2020.
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Nonparametric estimation of aggregated Sobol' indices: application to a depth averaged snow avalanche model
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Sensitivity analysis is part of recent checklists or guidelines for environmental modelling.
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were found to have the highest number of papers, which become even higher if the papers in
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A Special Issue on
Sensitivity analysis for environmental modelling in preparation.
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Reference journals for applications of sensitivity analysis in
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Prieur, C.; Viry, L.; Blayo, E.; Brankart, J-M. (2019).
289:"Current Models Underestimate Future Irrigated Areas"
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Stochastic Environmental Research and Risk Assessment
197:(Technical report). Inria Grenoble. hal-02868604.
193:Heredia, M.B.; Prieur, C.; Eckert, N. (2020).
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287:Puy, A.; Lo Piano, S.; Saltelli, A. (2020).
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340:Water Resources Research
101:Water Resources Research
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74:environmental sciences
510:Mathematical modeling
438:Ecological Indicators
112:Ecological indicators
90:environmental science
47:and Robert C. Spear.
22:environmental science
505:Sensitivity analysis
360:10.1002/2017WR020767
314:10.1029/2020GL087360
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