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Global Mean Sea Level. Time Trends and Persistence with Long Range Dependent Data.

dc.contributor.authorGil Alana, Luis A. 
dc.date.accessioned2022-02-15T08:17:14Z
dc.date.available2022-02-15T08:17:14Z
dc.date.issued2021
dc.identifier.issn2296-424Xspa
dc.identifier.urihttp://hdl.handle.net/10641/2813
dc.description.abstractGlobal mean sea level data are examined in this work by looking at the presence of time trends in the context of long memory or long range dependent processes. By looking at both seasonal signals retained and seasonal signals removed data from 1992 to 2020, the results show that the two series display significant time trend coefficients and high levels of persistence.spa
dc.language.isoengspa
dc.publisherFrontiers in physicsspa
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectSea levelspa
dc.subjectTime trendspa
dc.subjectFractional integrationspa
dc.subjectLong memoryspa
dc.titleGlobal Mean Sea Level. Time Trends and Persistence with Long Range Dependent Data.spa
dc.typejournal articlespa
dc.type.hasVersionAMspa
dc.rights.accessRightsopen accessspa
dc.description.extent703 KBspa
dc.identifier.doi10.3389/fphy.2021.797402spa
dc.relation.publisherversionhttps://www.frontiersin.org/articles/10.3389/fphy.2021.797402/full?utm_source=dlvr.it&utm_medium=twitterspa


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