The IGS-combined station coordinates, earth rotation parameters and apparent geocenter

Ferland, R.; Piraszewski, M.

doi:10.1007/s00190-008-0295-9

Cited by 75 publications

(45 citation statements)

References 2 publications

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“…The International GNSS Service (IGS) provides weekly combined coordinate solutions for IGS stations network (Ferland and Piraszewski 2009). Every solution is the result of a combination of independent estimates of solutions provided by different IGS Analysis Centers.…”

Section: For Stations That Have Been Doing Llr For Decades-mcdonald/mmentioning

confidence: 99%

Determining parameters of Moon’s orbital and rotational motion from LLR observations using GRAIL and IERS-recommended models

Pavlov

Williams

Suvorkin

2016

Celest Mech Dyn Astr

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The aim of this work is to combine the model of orbital and rotational motion of the Moon developed for DE430 with up-to-date astronomical, geodynamical, and geo-and selenophysical models. The parameters of the orbit and physical libration are determined in this work from lunar laser ranging (LLR) observations made at different observatories in 1970-2013. Parameters of other models are taken from solutions that were obtained independently from LLR.A new implementation of the DE430 lunar model, including the liquid core equations, was done within the EPM ephemeris. The postfit residuals of LLR observations make evident that the terrestrial models and solutions recommended by the IERS Conventions are compatible with the lunar theory. That includes: EGM2008 gravitational potential with conventional corrections and variations from solid and ocean tides; displacement of stations due to solid and ocean loading tides; and precession-nutation model. Usage of these models in the solution for LLR observations has allowed us to reduce the number of parameters to be fit. The fixed model of tidal variations of the geopotential has resulted in a lesser value of Moon's extra eccentricity rate, as compared to the original DE430 model with two fit parameters.A mixed model of lunar gravitational potential was used, with some coefficients determined from LLR observations, and other taken from the GL660b solution obtained from the GRAIL spacecraft mission.Solutions obtain accurate positions for the ranging stations and the five retroreflectors. Station motion is derived for sites with long data spans. Dissipation is detected at the lunar fluid core-solid mantle boundary demonstrating that a fluid

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Section: For Stations That Have Been Doing Llr For Decades-mcdonald/mmentioning

confidence: 99%

Determining parameters of Moon’s orbital and rotational motion from LLR observations using GRAIL and IERS-recommended models

Pavlov

Williams

Suvorkin

2016

Celest Mech Dyn Astr

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“…The SLR solution covers also its full observation history, and comprises fortnightly SINEX files, with polar motion and Length of Day (LOD) estimated each three days between 1983.0 and 1993.0 and weekly SINEX files with daily polar motion and LOD estimates afterwards (Pavlis et al 2010). The GPS submitted solution represents a large part of the first reprocessed solution by the IGS and covers the time period 1997.0-2009.5 (Ferland 2010;Ferland and Piraszewski 2008). Note that a very small portion of GLONASS observations were used by some IGS ACs that contributed to the reprocessing effort.…”

Section: Space Geodesy Solutionsmentioning

confidence: 99%

ITRF2008: an improved solution of the international terrestrial reference frame

Altamimi

Collilieux

Métivier

2011

J Geod

1,047

660

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ITRF2008 is a refined version of the International Terrestrial Reference Frame based on reprocessed solutions of the four space geodetic techniques: VLBI, SLR, GPS and DORIS, spanning 29, 26, 12.5 and 16 years of observations, respectively. The input data used in its elaboration are time series (weekly from satellite techniques and 24-h sessionwise from VLBI) of station positions and daily Earth Orientation Parameters (EOPs). The ITRF2008 origin is defined in such a way that it has zero translations and translation rates with respect to the mean Earth center of mass, averaged by the SLR time series. Its scale is defined by nullifying the scale factor and its rate with respect to the mean of VLBI and SLR long-term solutions as obtained by stacking their respective time series. The scale agreement between these two technique solutions is estimated to be 1.05 ± 0. that exhibits a Z-translation drift of 1.8 mm/yr with respect to ITRF2005. An evaluation of the ITRF2008 origin accuracy based on the level of its agreement with ITRF2005 is believed to be at the level of 1 cm over the time-span of the SLR observations. Considering the level of scale consistency between VLBI and SLR, the ITRF2008 scale accuracy is evaluated to be at the level of 1.2 ppb (8 mm at the equator) over the common time-span of the observations of both techniques. Although the performance of the ITRF2008 is demonstrated to be higher than ITRF2005, future ITRF improvement resides in improving the consistency between local ties in co-location sites and space geodesy estimates.

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“…When analyzing observations of the Global Navigation Satellite Systems (GNSS) it has become widely accepted practice to apply solid Earth tides and ocean tidal loading effects using the latest models for these displacements (McCarthy and Petit 2004), thus removing the largest effects with magnitudes bigger than a few centimeters. The repeatability and consistency of weekly time series of station coordinates (e.g., within the International GNSS Service, IGS, Dow et al 2009) are therefore well below the centimeter level-even for the vertical component (Ferland and Piraszewski 2009). Several other geophysical effects are currently not taken into account by the IGS for GNSS data processing-even if the expected effects amount to more than one centimeter.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the impact of atmospheric pressure loading modeling on GNSS data analysis

Dach

Boehm

Lutz

et al. 2010

J Geod

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In recent years, several studies have demonstrated the sensitivity of Global Navigation Satellite System (GNSS) station time series to displacements caused by atmospheric pressure loading (APL). Different methods to take the APL effect into account are used in these studies: applying the corrections from a geophysical model on weekly mean estimates of station coordinates, using observation-level corrections during data analysis, or solving for regression factors between the station displacement and the local pressure. The Center for Orbit Determination in Europe (CODE) is one of the global analysis centers of the International GNSS Service (IGS). The current quality of the IGS products urgently asks to consider this effect in the regular processing scheme. However, the resulting requirements for an APL model are demanding with respect to quality, latency, and-regarding the reprocessing activities-availability over a long time interval (at least from 1994 onward). The APL model of Petrov and Boy (J Geophys Res 109:B03405, 2004) is widely used within the VLBI community and is evaluated in this study with respect to these criteria. The reprocessing effort of CODE provides the basis for validating the APL model. The data set is used to solve for scaling factors for each station to evaluate the geophysical atmospheric (2004) is shown to meet the expectations concerning the order of magnitude of the effect at individual stations within the uncertainty given by the GNSS data processing and within the limitations due to the model itself. The repeatability of station coordinates improves by 20% when applying the effect directly on the data analysis and by 10% when applying a post-processing correction to the resulting weekly coordinates compared with a solution without taking APL into account.

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The IGS-combined station coordinates, earth rotation parameters and apparent geocenter

Cited by 75 publications

References 2 publications

Determining parameters of Moon’s orbital and rotational motion from LLR observations using GRAIL and IERS-recommended models

Determining parameters of Moon’s orbital and rotational motion from LLR observations using GRAIL and IERS-recommended models

ITRF2008: an improved solution of the international terrestrial reference frame

Evaluation of the impact of atmospheric pressure loading modeling on GNSS data analysis

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