Articles | Volume 17, issue 4
https://doi.org/10.5194/nhess-17-515-2017
https://doi.org/10.5194/nhess-17-515-2017
Research article
 | 
03 Apr 2017
Research article |  | 03 Apr 2017

Extreme weather exposure identification for road networks – a comparative assessment of statistical methods

Matthias Schlögl and Gregor Laaha

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Cited articles

Aldrich, J.: R. A. Fisher and the making of maximum likelihood 1912–1922, Stat. Sci., 12, 162–176, https://doi.org/10.1214/ss/1030037906, 1997.
APCC: Österreichischer Sachstandsbericht Klimawandel 2014 (AAR14), Austrian Panel on Climate Change, Austrian Academy of Sciences Press, Vienna, Austria, 1096 pp., ISBN-13: 978-3-7001-7699-2, available at: http://hw.oeaw.ac.at/APCC_AAR2014.pdf (last access: 7 March 2017), 2014.
Balkema, A. and de Haan, L.: Residual life time at great age, Ann. Probab., 2, 792–804, https://doi.org/10.1214/aop/1176996548, 1974.
Basrak, B.: Fisher-Tippett Theorem, in: International Encyclopedia of Stat. Sci., edited by: Lovric, M., Berlin, Heidelberg, Springer, 525–526, 2014.
Ben-Zvi, A.: Rainfall intensity–duration–frequency relationships derived from large partial duration series, J. Hydrol., 367, 104–114, https://doi.org/10.1016/j.jhydrol.2009.01.007, 2009.
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Short summary
Different extreme value analysis approaches and fitting methods are compared with respect to their value for assessing the exposure of transport networks to extreme precipitation and temperature impacts. The merits of simultaneous analysis and combined plotting of various approaches are shown. The use of conditional performance metrics is proposed as an additional measure for assessing model goodness of fit. Findings of the study can be transferred to a range of environmental variables.
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