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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-15T18:36:22Z</responseDate> <request identifier=oai:HAL:hal-00795451v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-00795451v1</identifier> <datestamp>2018-01-11</datestamp> <setSpec>type:ART</setSpec> <setSpec>subject:sdu</setSpec> <setSpec>subject:phys</setSpec> <setSpec>subject:sde</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:SDE</setSpec> <setSpec>collection:GM</setSpec> <setSpec>collection:GIP-BE</setSpec> <setSpec>collection:AGROPOLIS</setSpec> <setSpec>collection:INSU</setSpec> <setSpec>collection:B3ESTE</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:UNIV-MONTPELLIER</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Identification of Glacial Isostatic Adjustment in Eastern Canada Using S Transform Filtering of GPS Observations</title> <creator>George, Nv</creator> <creator>Tiampo, K.F.</creator> <creator>Sahu, S.S.</creator> <creator>MAZZOTTI, Stephane</creator> <creator>Mansinha, L.</creator> <creator>Panda, G.</creator> <contributor>Indian Inst Technol, Sch Elect Sci, Bhubaneswar, Odisha ; Université du Québec</contributor> <contributor>Risques ; Univ Western Ontario, Dept Earth ; Université du Québec - Université du Québec</contributor> <contributor>Risques ; Géosciences Montpellier ; Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS) - Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Univ Western Ontario, Dept Earth Sci ; Université du Québec</contributor> <description>International audience</description> <source>ISSN: 0033-4553</source> <source>EISSN: 1420-9136</source> <source>Pure and Applied Geophysics</source> <publisher>Springer Verlag</publisher> <identifier>hal-00795451</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-00795451</identifier> <source>https://hal.archives-ouvertes.fr/hal-00795451</source> <source>Pure and Applied Geophysics, Springer Verlag, 2012, 169 (8), pp.1507-1517. 〈10.1007/s00024-011-0404-1〉</source> <identifier>DOI : 10.1007/s00024-011-0404-1</identifier> <relation>info:eu-repo/semantics/altIdentifier/doi/10.1007/s00024-011-0404-1</relation> <language>en</language> <subject lang=es>Glacial isostatic adjustment</subject> <subject lang=es>Canada</subject> <subject>[SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]</subject> <subject>[PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]</subject> <subject>[SDE.MCG] Environmental Sciences/Global Changes</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>Over the years, a number of different models and techniques have been proposed to both quantify and explain the glacial isostatic adjustment (GIA) process. There are serious challenges, however, to obtaining accurate results from measurements, due to noise in the data and the long periods of time necessary to identify the relatively small-magnitude signal in certain regions. The primary difficulty, in general, is that most of the geophysical signals that occur in addition to GIA are nonstationary in nature. These signals are also corrupted by random as well as correlated noise added during data acquisition. The nonstationary characteristic of the data makes it difficult for traditional frequency-domain denoising approaches to be effective. Time-frequency filters present a more robust and reliable alternative to deal with this problem. This paper proposes an extended S transform filtering approach to separate the various signals and isolate that associated with GIA. Continuous global positioning system (GPS) data from eastern Canada for the period from June 2001 to June 2006 are analyzed here, and the vertical velocities computed after filtering are consistent with the GIA models put forward by other researchers.</description> <date>2012-08-01</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>