dc.contributor.author | Caires, Sofia | |
dc.date.accessioned | 2017-10-14T19:04:28Z | |
dc.date.available | 2017-10-14T19:04:28Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Caires, S. (2011) Extreme value analysis: wave data. Geneva, Switzerland, World Meteorological Organization/JCOMM, 33pp. (JCOMM Technical Report 57). DOI: https://doi.org/10.25607/OBP-1499 | en_US |
dc.identifier.uri | http://hdl.handle.net/11329/367 | |
dc.identifier.uri | https://doi.org/10.25607/OBP-1499 | |
dc.description.abstract | Estimates of the m-year return value of significant wave height ─ the value which is exceeded on
average once every m years ─
are needed for the safety control and design of ship, offshore, and
coastal structures, and for the mapping of flood risk areas. The WMO Guide to Wave Analysis and
Forecasting aims at providing guidance on how to obtain those estimates. In the design of ships
and offshore platforms 1/20-yr to 1/100-yr return values are often used. In the control of the safety
of the Netherlands sea defenses return values of up to 1/10,000-yr are used. In the mapping of
food risk area in the United Kingdom 1/1,000-yr return values are used. The longer time series of
significant wave height available come from hindcasts and usually cover no more than 50 years,
meaning that one generally needs to extrapolate well beyond the range of the available data and
thus resort to extreme value analysis to obtain the required return value estimates.
In this report we begin by describing and discussing approaches that can be used to estimate
such return values in Chapter 2. Approaches based on extreme value theory as well as
ad hoc
methods are considered. We then present in Chapter 3 some worked examples using two time
series of significant wave height measurements, one in deep and the other in shallow waters. In
Chapter 4 we provide an inventory of software packages available to carry out extreme value
analyses. We finish in Chapter 5 with some guidelines / recommendations. | en_US |
dc.language.iso | en | en_US |
dc.publisher | WMO-JCOMM | en_US |
dc.relation.ispartofseries | JCOMM Technical Report;57 | |
dc.subject.other | Wave analysis | en_US |
dc.subject.other | Significant wave height | en_US |
dc.subject.other | Return value | en_US |
dc.subject.other | Wave forecasting | en_US |
dc.subject.other | Extreme value theory | en_US |
dc.subject.other | Time series analysis | en_US |
dc.subject.other | Wave data | en_US |
dc.title | Extreme value analysis: wave data | en_US |
dc.type | Report | en_US |
dc.description.status | Published | en_US |
dc.format.pages | 33pp. | en_US |
dc.description.refereed | Refereed | en_US |
dc.publisher.place | Geneva, Switzerland | en_US |
dc.subject.parameterDiscipline | Parameter Discipline::Physical oceanography::Waves | en_US |
dc.description.currentstatus | Current | en_US |
obps.resourceurl.publisher | http://library.wmo.int/pmb_ged/jcomm-tr_57_en.pdf | en_US |