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dc.contributor.authorMelbourne, Timothy I.
dc.contributor.authorMurray, Mark H.
dc.contributor.authorSzeliga, Walter M.
dc.contributor.authorPhillips, David A.
dc.contributor.authorPuskas, Christine M.
dc.contributor.authorSantillan, Marcelo
dc.contributor.authorHerring, Thomas A
dc.contributor.authorKing, Robert W
dc.contributor.authorWang, Lei
dc.contributor.authorFloyd, Mike
dc.date.accessioned2018-10-09T18:55:49Z
dc.date.available2018-10-09T18:55:49Z
dc.date.issued2016-10
dc.date.submitted2016-07
dc.identifier.issn8755-1209
dc.identifier.urihttp://hdl.handle.net/1721.1/118401
dc.description.abstractThe Geodesy Advancing Geosciences and EarthScope (GAGE) Facility Global Positioning System (GPS) Data Analysis Centers produce position time series, velocities, and other parameters for approximately 2000 continuously operating GPS receivers spanning a quadrant of Earth's surface encompassing the high Arctic, North America, and Caribbean. The purpose of this review is to document the methodology for generating station positions and their evolution over time and to describe the requisite trade-offs involved with combination of results. GAGE GPS analysis involves formal merging within a Kalman filter of two independent, loosely constrained solutions: one is based on precise point positioning produced with the GIPSY/OASIS software at Central Washington University and the other is a network solution based on phase and range double-differencing produced with the GAMIT software at New Mexico Institute of Mining and Technology. The primary products generated are the position time series that show motions relative to a North America reference frame and secular motions of the stations represented in the velocity field. The position time series themselves contain a multitude of signals in addition to the secular motions. Coseismic and postseismic signals, seasonal signals from hydrology, and transient events, some understood and others not yet fully explained, are all evident in the time series and ready for further analysis and interpretation. We explore the impact of analysis assumptions on the reference frame realization and on the final solutions, and we compare within the GAGE solutions and with others.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (EAR-0350028)en_US
dc.publisherAmerican Geophysical Union (AGU)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/2016RG000529en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceWileyen_US
dc.titlePlate Boundary Observatory and related networks: GPS data analysis methods and geodetic productsen_US
dc.typeArticleen_US
dc.identifier.citationHerring, Thomas A., et al. “Plate Boundary Observatory and Related Networks: GPS Data Analysis Methods and Geodetic Products: PBO Data Analysis Methods and Products.” Reviews of Geophysics, vol. 54, no. 4, Dec. 2016, pp. 759–808. © 2016 The Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciencesen_US
dc.contributor.mitauthorHerring, Thomas A
dc.contributor.mitauthorFloyd, Michael
dc.contributor.mitauthorKing, Robert W
dc.contributor.mitauthorWang, Lei
dc.relation.journalReviews of Geophysicsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-09-26T17:00:40Z
dspace.orderedauthorsHerring, Thomas A.; Melbourne, Timothy I.; Murray, Mark H.; Floyd, Michael A.; Szeliga, Walter M.; King, Robert W.; Phillips, David A.; Puskas, Christine M.; Santillan, Marcelo; Wang, Leien_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6030-0545
dc.identifier.orcidhttps://orcid.org/0000-0002-1657-2084
dc.identifier.orcidhttps://orcid.org/0000-0002-5643-695X
mit.licensePUBLISHER_CCen_US


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