Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/100680
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.creatorLei, Jen_US
dc.creatorChen, Wen_US
dc.creatorLi, Zen_US
dc.creatorLi, Fen_US
dc.creatorZhang, Sen_US
dc.date.accessioned2023-08-11T03:12:36Z-
dc.date.available2023-08-11T03:12:36Z-
dc.identifier.issn0094-8276en_US
dc.identifier.urihttp://hdl.handle.net/10397/100680-
dc.language.isoenen_US
dc.publisherWiley-Blackwellen_US
dc.rights©2020. American Geophysical Union. All Rights Reserved.en_US
dc.titleA full‐spectrum bedrock thermal expansion model and its impact on the Global Positioning System height time seriesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume47en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1029/2019GL086022en_US
dcterms.abstractBedrock thermal expansion includes prominent seasonal (annual and semiannual) terms and intricate nonseasonal variations (high-frequency change and transient signals). However, the nonseasonal variations are usually ignored in geodetic studies due to defects in analytical solutions. In this study, we calculate the full-spectrum bedrock thermal expansion displacement using the skin temperature from the ERA5 reanalysis data set. The results show that the nonseasonal variations of bedrock thermal expansion, with a range (maximum minus minimum) reaching 3 mm in some regions, can be observed by geodetic instruments and thus cannot be ignored. Moreover, the mean power of the nonseasonal variations accounts for 20% of the entire thermal expansion. Without considering the influence of the nonseasonal variations, this “noise” would remain in the original observations and contaminate related geophysical inversions.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationGeophysical research letters, 16 Jan. 2020, v. 47, no. 1, e2019GL086022en_US
dcterms.isPartOfGeophysical research lettersen_US
dcterms.issued2020-01-16-
dc.identifier.scopus2-s2.0-85078297122-
dc.identifier.eissn1944-8007en_US
dc.identifier.artne2019GL086022en_US
dc.description.validate202305 bckwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberLSGI-0127-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Key Research and Development Program of China; State Key Program of National Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS52662685-
dc.description.oaCategoryVoR alloweden_US
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