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Titel |
TIGA Tide Gauge Data Reprocessing at GFZ |
VerfasserIn |
Zhiguo Deng, Tilo Schöne, Gerd Gendt |
Konferenz |
EGU General Assembly 2014
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 16 (2014) |
Datensatznummer |
250091847
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Publikation (Nr.) |
EGU/EGU2014-6160.pdf |
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Zusammenfassung |
To analyse the tide gauge measurements for the purpose of global long-term sea level change
research a well-defined absolute reference frame is required by oceanographic community. To
create such frame the data from a global GNSS network located at or near tide gauges are
processed. For analyzing the GNSS data on a preferably continuous basis the International
GNSS Service (IGS) Tide Gauge Benchmark Monitoring Working Group (TIGA-WG) is
responsible.
As one of the TIGA Analysis Centers the German Research Centre for Geosciences
(GFZ) is contributing to the IGS TIGA Reprocessing Campaign. The solutions of the TIGA
Reprocessing Campaign will also contribute to 2nd IGS Data Reprocessing Campaign with
GFZ IGS reprocessing solution. After the first IGS reprocessing finished in 2010 some
improvements were implemented into the latest GFZ software version EPOS.P8: reference
frame IGb08 based on ITRF2008, antenna calibration igs08.atx, geopotential model
(EGM2008), higher-order ionospheric effects, new a priori meteorological model (GPT2),
VMF mapping function, and other minor improvements. GPS data of the globally
distributed tracking network of 794 stations for the time span from 1994 until end of
2012 are used for the TIGA reprocessing. To handle such large network a new
processing strategy is developed and described in detail. In the TIGA reprocessing the
GPS@TIGA data are processed in precise point positioning (PPP) mode to clean data
using the IGS reprocessing orbit and clock products. To validate the quality of the
PPP coordinate results the rates of 80 GPS@TIGA station vertical movement are
estimated from the PPP results using Maximum Likelihood Estimation (MLE)
method. The rates are compared with the solution of University of LaRochelle
Consortium (ULR) (named ULR5). 56 of the 80 stations have a difference of the vertical
velocities below 1 mm/yr. The error bars of PPP rates are significant larger than
those of ULR5, which indicates large time correlated noise in the PPP solutions. |
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