Benefits from Homogeneously Reprocessed GPS Time Series

HR: 11:20h
AN: G32A-04 [Abstracts]
TI: Benefits from Homogeneously Reprocessed GPS Time Series
AU: Steigenberger, P
EM: steigenberger@bv.tum.de
AF: Forschungseinrichtung Satellitengeodäsie, Technische Universität München Arcisstrasse 21, Munich, 80290 Germany
AU: * Rothacher, M
EM: rothacher@gfz-potsdam.de
AF: GeoForschungsZentrum Potsdam, Telegrafenberg A17, Potsdam, 14473 Germany
AU: Dietrich, R
EM: dietrich@ipg.geo.tu-dresden.de
AF: Institut f〉 Planetare Geodäsie, Technische Universität Dresden Helmholtzstrasse 10, Dresden, 01062 Germany
AU: Fritsche, M
EM: fritsche@ipg.geo.tu-dresden.de
AF: Institut f〉 Planetare Geodäsie, Technische Universität Dresden Helmholtzstrasse 10, Dresden, 01062 Germany
AU: Rülke, A
EM: ruelke@ipg.geo.tu-dresden.de
AF: Institut f〉 Planetare Geodäsie, Technische Universität Dresden Helmholtzstrasse 10, Dresden, 01062 Germany
AU: Tesmer, V
EM: tesmer@dgfi.badw.de
AF: Deutsches Geodätisches Forschungsinstitut, Marstallplatz 8, Munich, 80539 Germany
AB: The transition from relative to absolute phase center variations (PCVs), which is planed by the International GNSS Service (IGS) for the beginning of 2006, will cause significant changes in the time series of estimated parameters, especially in coordinate time series and reference frame realization. But most of the GPS time series are also inhomogeneous due to changes in modeling and parameterization during their generation and their interpretation is therefore very difficult. To overcome this problem, the IGS reanalysis project was initiated in the mid of 2005. The Technical Universities in Dresden and Munich already performed a successful reprocessing of more than eleven years of GPS data (1994 till mid of 2005). The benefits from the homogeneously reprocessed GPS solution will be demonstrated by selected examples like orbit consistency and coordinate repeatability. In the framework of this reprocessing also several more sophisticated modeling techniques were tested: (1) absolute satellite antenna PCVs, (2) consideration of higher-order ionosphere terms, (3) mapping of the troposphere zenith delay with the isobaric mapping function (IMF) using weather model data as input information. The influence of this advanced modeling will be demonstrated by comparing the "advanced" solutions with "standard" solutions using (1) relative PCVs, (2) only the first-order ionospheric term, (3) the widely used Niell mapping function. For inter-technique comparisons a VLBI solution generated by a DGFI reprocessing was used: the biases for common parameters of the two space geodetic techniques can serve as a quality indicator to assess the effects of the advanced modeling.
DE: 1220 Atmosphere monitoring with geodetic techniques (6952)
DE: 1229 Reference systems
DE: 1240 Satellite geodesy: results (6929, 7215, 7230, 7240)
SC: Geodesy [G]
MN: Fall Meeting 2005