@article{JRC40464,
	address = {OXFORD (ENGLAND)},
	year = {2008},
	author = {Pappenberger F and Beven K and Ratto M and Matgen P},
	abstract = {Global sensitivity analysis is a valuable tool in understanding flood inundation models and deriving decisions on strategies to reduce
		model uncertainty. In this paper, a sensitivity analysis of a one-dimensional flood inundation model (HEC-RAS) on the River Alzette,
		Luxembourg, is presented. It is impossible to define sensitivity in a unique way and different methods can lead to a difference in ranking
		of importance of model factors. In this paper five different methods (Sobol, Kullback-Leibler entropy, Morris, regionalised sensitivity
		analysis and regression) are applied and the outcomes on selected examples compared. It is demonstrated that the different methods lead
		to completely different ranking of importance of the parameter factors and that it is impossible to draw firm conclusions about the relative sensitivity of different factors. Moreover, the uncertainty inherent in the sensitivity methods is highlighted.
		},
	title = {Multi-Method Global Sensitivity Analysis of Flood Inundation Models},
	type = {},
	url = {http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6VCF-4NT84WP-1&_user=4900406&_coverDate=01%2F31%2F2008&_rdoc=1&_fmt=full&_orig=browse&_srch=doc-info(%23toc%235953%232008%23999689998%23674288%23FLA%23display%23Volume)&_cdi=5953&_sort=d&_docanchor},
	volume = {31},
	number = {1},
	journal = {ADVANCES IN WATER RESOURCES},
	pages = {1-14},
	issn = {0309-1708},
	publisher = {ELSEVIER SCI LTD},
	doi = {10.1016/j.advwatres.2007.04.009}
}