The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Sensitivity analysis of environmental models: A systematic review with practical workflow
Open accessAbstract
Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model can be attributed to variations of its input factors. SA is increasingly being used in environmental modelling for a variety of purposes, including uncertainty assessment, model calibration and diagnostic evaluation, dominant control analysis and robust decision-making. In this paper we review the SA literature with the goal of providing: (i) a comprehensive view of SA approaches also in relation to other methodologies for model identification and application; (ii) a systematic classification of the most commonly used SA methods; (iii) practical guidelines for the application of SA. The paper aims at delivering an introduction to SA for non-specialist readers, as well as practical advice with best practice examples from the literature; and at stimulating the discussion within the community of SA developers and users regarding the setting of good practices and on defining priorities for future research.
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Citations
Cites
Global Sensitivity Analysis. The Primer
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2007) · doi:10.1002/9780470725184 · Cited by 6,430
A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output
Saltelli, A., Tarantola, S., & Chan, K. P.-S. (1999) · Technometrics · doi:10.1080/00401706.1999.10485594 · Cited by 2,275
Beven, K., & Freer, J. (2001) · Journal of Hydrology · doi:10.1016/s0022-1694(01)00421-8 · Cited by 2,189
Self-citation
Cited by
Hu, X., Xu, L., Lin, X., & Pecht, M. (2020) · Joule · doi:10.1016/j.joule.2019.11.018 · Cited by 1,320
Review of finite element model updating methods for structural applications
Ereiz, S., Duvnjak, I., & Fernando Jiménez-Alonso, J. (2022) · Structures · doi:10.1016/j.istruc.2022.05.041 · Cited by 371
Engels, P., Cerdas, F., Dettmer, T., Frey, C., Hentschel, J., Herrmann, C., Mirfabrikikar, T., & Schueler, M. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.130474 · Cited by 178
Sensitivity analysis methods in the biomedical sciences
Qian, G., & Mahdi, A. (2020) · Mathematical Biosciences · doi:10.1016/j.mbs.2020.108306 · Cited by 169
Lafferty, D. C., & Sriver, R. L. (2023) · npj Climate and Atmospheric Science · doi:10.1038/s41612-023-00486-0 · Cited by 139
Metadata
- Authors
- Pianosi, F., Beven, K., Freer, J., Hall, J. W., Rougier, J., Stephenson, D. B., & Wagener, T.
- Venue
- Environmental Modelling & Software
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 79
- Pages
- 214-232
- ISSN
- 1364-8152 (ISSN-L)
- OpenAlex
- W2287992427
- Cited by
- 1,704
- References
- 3
- FWCI
- 41.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Pianosi, F., Beven, K., Freer, J., Hall, J. W., Rougier, J., Stephenson, D. B., & Wagener, T. (2016). Sensitivity analysis of environmental models: A systematic review with practical workflow. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2016.02.008
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