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dc.date.accessioned2022-03-16T17:38:43Z
dc.date.available2022-03-16T17:38:43Z
dc.date.created2021-11-11T11:42:49Z
dc.date.issued2021
dc.identifier.citationHaselsteiner, Andreas F. Coe, Ryan G. Manuel, Lance Chai, Wei Leira, Bernt Johan Clarindo, Guilherme Soares, Carlos Guedes Hannesdóttir, Ásta Dimitrov, Nikolay Sander, Aljoscha Ohlendorf, Jan-Hendrik Thoben, Klaus-Dieter Hauteclocque, Guillaume de Mackay, Ed Jonathan, Philip Qiao, Chi Myers, Andrew Rode, Anna Hildebrandt, Arndt Schmidt, Boso Vanem, Erik Huseby, Arne Bang . A benchmarking exercise for environmental contours. Ocean Engineering. 2021, 236, 1-29
dc.identifier.urihttp://hdl.handle.net/10852/92536
dc.description.abstractEnvironmental contours are used to simplify the process of design response analysis. A wide variety of contour methods exist; however, there have been a very limited number of comparisons of these methods to date. This paper is the output of an open benchmarking exercise, in which contributors developed contours based on their preferred methods and submitted them for a blind comparison study. The exercise had two components—one, focusing on the robustness of contour methods across different offshore sites and, the other, focusing on characterizing sampling uncertainty. Nine teams of researchers contributed to the benchmark. The analysis of the submitted contours highlighted significant differences between contours derived via different methods. For example, the highest wave height value along a contour varied by as much as a factor of two between some submissions while the number of metocean data points or observations that fell outside a contour deviated by an order of magnitude between the contributions (even for contours with a return period shorter than the duration of the record). These differences arose from both different joint distribution models and different contour construction methods, however, variability from joint distribution models appeared to be higher than variability from contour construction methods.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleA benchmarking exercise for environmental contours
dc.typeJournal article
dc.creator.authorHaselsteiner, Andreas F.
dc.creator.authorCoe, Ryan G.
dc.creator.authorManuel, Lance
dc.creator.authorChai, Wei
dc.creator.authorLeira, Bernt Johan
dc.creator.authorClarindo, Guilherme
dc.creator.authorSoares, Carlos Guedes
dc.creator.authorHannesdóttir, Ásta
dc.creator.authorDimitrov, Nikolay
dc.creator.authorSander, Aljoscha
dc.creator.authorOhlendorf, Jan-Hendrik
dc.creator.authorThoben, Klaus-Dieter
dc.creator.authorHauteclocque, Guillaume de
dc.creator.authorMackay, Ed
dc.creator.authorJonathan, Philip
dc.creator.authorQiao, Chi
dc.creator.authorMyers, Andrew
dc.creator.authorRode, Anna
dc.creator.authorHildebrandt, Arndt
dc.creator.authorSchmidt, Boso
dc.creator.authorVanem, Erik
dc.creator.authorHuseby, Arne Bang
cristin.unitcode185,15,13,25
cristin.unitnameStatistikk og Data Science
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1953632
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Ocean Engineering&rft.volume=236&rft.spage=1&rft.date=2021
dc.identifier.jtitleOcean Engineering
dc.identifier.volume236
dc.identifier.doihttps://doi.org/10.1016/j.oceaneng.2021.109504
dc.identifier.urnURN:NBN:no-95121
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0029-8018
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/92536/4/1-s2.0-S0029801821009033-main.pdf
dc.type.versionPublishedVersion
cristin.articleid109504
dc.relation.projectNFR/249261
dc.relation.projectNFR/237718


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