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GPS Time Series and Terrestrial Reference Frame Issues

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'A priori' vs 'A posteriori' Datum Definition. Stations present in the 'a priori' and 'a posteriori' datum : black circles and labels ... – PowerPoint PPT presentation

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Title: GPS Time Series and Terrestrial Reference Frame Issues


1
GPS Time Series and Terrestrial Reference Frame
Issues
Zuheir Altamimi, Guy Wöppelmann, Marie-Noëlle
Bouin
  • Overview
  • Terrestrial reference frame datum definition
  • GPS Time series Combination model
  • Application to TIGA (Tide Gauge monitoring...)
  • Conclusions and Outlooks

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Application to TIGA
  • TIGA-PP GPS Tide Gauge Benchmark Monitoring
    IGS Pilot Project
  • Scientific outcomes
  • Vertical positions of TGBMs with cm accuracy
    (Satellite calibration)
  • Vertical velocities with better than 1 mm/yr
    accuracy for a subset of sites (Long term trend
    sea-level studies)
  • Technical issues
  • set up the required research infrastructure to
    handle the problem at the global scale, i.e.
  • Observing Stations
  • Dedicated Data Centres
  • Different types of Analysis Centres process GPS
    data...

11
Current processed CGPS_at_TG network at ULR121 TG
(including 7 RF) 15 RFTime span 2000/002 -
2002/323
12
Data Analysis Strategy (1)
  • Software
  • GAMIT (R. King, MIT) GPS data processing
  • CATREF (Z.Altamimi, IGN) Solutions combination
  • General
  • Standards proposed by TIGA Adopted
  • Basic observable Double Difference carrier
    phases
  • Elevation cut-off angle 10
  • Niell mapping function ZPD estimated every 2
    hours
  • Ocean loading corrections Scherneck Bos
  • IGS final orbits transformed into ITR2000
    (R.Ferlands procedure)

13
Data analysis strategy (2)
  • GPS solutions and Reference frame realisation
  • Daily Processing is split in 4 global networks of
    less than 50 stations
  • Each network includes a subset of the 55 IGS RF
    stations
  • The 4 Network solutions are combined to get ONE
    global daily solution using the Minimal
    Constraint Approach (Altamimi et al, 2002)
  • Daily solutions are then combined to get the
    weekly solutions
  • Reference frame stations selected on ITRF2000
    results
  • Stations available from at least 3 individual ACs
  • Minimum of 2 years of GPS data available
  • ?X lt 3 mm , ?V lt 1 mm/yr in ITRF2000
  • ITRF2000 Residuals lt 1.5 mm in Horizontal, ... lt
    2.5 mm in Vertical
  • ... lt 1.5 mm/yr in
    Horizontal, ... lt 2.5 mm/yr in Vertical

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IGS Reference Frame Stations (55)
15
Datum definition - Reference Frame Stations (22)
  • Stations available from at least 3 individual
    Acs
  • Minimum of 2 years of GPS data available
  • ?X lt 3 mm , ?V lt 1 mm/yr in ITRF2000
  • Residuals lt 1.5 mm in Horizontal, ... lt 2.5 mm
    in Vertical, ... lt 1.5 mm/yr in Horizontal, ...
    lt 2.5 mm/yr in Vertical

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Weekly time series solutionsCombination and
Analysis (1)
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Careful Time Series Inspection
  • Discontinuities
  • Venice (2001/031)
  • Maldives (2000/152)
  • San Fernando (2002/065)
  • La Coruna (2002/157)
  • Cocos Isl. (2000/187)
  • Churchill (2002/058)
  • Outliers (corrected...)
  • ...

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Weekly time series solutionsCombination and
Analysis (2)
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Datum (Re-)definition on current results (21)
  • Solutions available for at least 90 of the
    total time span
  • Station within the ITRF2000 solution
  • Careful inspection of time series residuals on
    East, North and Up components

21
"A priori" vs "A posteriori" Datum Definition
  • Stations present in the "a priori" and "a
    posteriori" datum black circles and labels
  • New Reference Frame Stations (after analysis)
    red circles and labels
  • Former Reference Frame Stations blue stars

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A look at some "dismissed" RF stations
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A look at some "dismissed" RF stations
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Weekly time series solutionsCombination with the
new Datum
Old RS
New RS
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Some promising results
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Some promising results
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Some promising results
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Some promising results
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Some promising results
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Conclusions and Outlooks
  • Minimum Constraints approach is an efficient way
    for TRF definition
  • Reference Frame Stations are of primary
    importance for TRF long-term stability
  • Analysed Data Span is still too short
  • To derive reliable/accurate vertical trends
  • To stabilize the TRF
  • To estimate seasonal variations
  • To compare with TG time series
  • TIGA is a research project !

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Seasonal Variations
Before
After
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