Predicting Storm Surges
Marc Andreewsky ()
Additional contact information
Marc Andreewsky: EDF R&D
Chapter Chapter 14 in Extreme Value Theory with Applications to Natural Hazards, 2021, pp 345-359 from Springer
Abstract:
Abstract In this chapter, we present a second example of statistical estimation of extreme quantiles: millennial quantiles for storm surges at Brest (France), based on hourly sea-level measurements. We run sensitivity tests on parameter values, on the choice of analytic models for distributions, and on the statistical estimation methods chosen. Uncertainty in estimates and associated confidence intervals are also calculated and compared.
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-74942-2_14
Ordering information: This item can be ordered from
http://www.springer.com/9783030749422
DOI: 10.1007/978-3-030-74942-2_14
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().