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Journal ArticleDOI

Impact of loading effects on determination of the International Terrestrial Reference Frame

TLDR
In this article, the effect of applying a posteriori loading corrections to time series of positions estimated from Satellite Laser Ranging (SLR), Very Long Baseline Interferometry (VLBI), and Global Positioning System (GPS) data is evaluated.
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This article is published in Advances in Space Research.The article was published on 2010-01-04. It has received 64 citations till now. The article focuses on the topics: International Terrestrial Reference System & Terrestrial reference frame.

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Citations
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ITRF2008: an improved solution of the international terrestrial reference frame

TL;DR: ITRF2008 as mentioned in this paper 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.
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ITRF2014: A new release of the International Terrestrial Reference Frame modeling nonlinear station motions

TL;DR: The ITRF2014 is generated with an enhanced modeling of nonlinear station motions, including seasonal (annual and semiannual) signals of station positions and postseismic deformation for sites that were subject to major earthquakes.
Journal ArticleDOI

Strategies to mitigate aliasing of loading signals while estimating GPS frame parameters

TL;DR: This paper discusses in this paper some procedures that may allow reducing these aliasing effects in the case of the GPS techniques, and confirms that the standard approach consisting of estimating the transformation over the whole network is particularly harmful for the loading signals if the network is not well distributed.
Journal ArticleDOI

Review of current GPS methodologies for producing accurate time series and their error sources

TL;DR: In this article, the authors provide a review spanning over 25 years of advances in processing strategies, error mitigation methods and noise modeling for the processing and analysis of GPS daily position time series.
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Comparative analysis of different environmental loading methods and their impacts on the GPS height time series

TL;DR: In this article, three different environmental loading methods are used to estimate surface displacements and correct non-linear variations in a set of GPS weekly height time series, which are provided by (1) Global Geophysical Fluid Center (GGFC), (2) Loading Model of Quasi-Observation Combination Analysis software (QLM) and (3) our own daily loading time series (called OMD for optimum model data).
References
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Journal ArticleDOI

GRACE measurements of mass variability in the Earth system.

TL;DR: Geoid variations observed over South America that can be largely attributed to surface water and groundwater changes show a clear separation between the large Amazon watershed and the smaller watersheds to the north.
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Deformation of the Earth by surface loads

TL;DR: In this article, the static deformation of an elastic half-space by surface pressure is reviewed and a brief mention is made of methods for solving the problem when the medium is plane-strategized, but the major emphasis is on the solution for spherical, radially stratified, gravitating earth models.
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ITRF2005 : A new release of the International Terrestrial Reference Frame based on time series of station positions and Earth Orientation Parameters

TL;DR: Altamimi et al. as mentioned in this paper used time series of station positions and daily Earth Orientation Parameters (EOPs) of the International Terrestrial Reference Frame (ITRF) to monitor station nonlinear motion and discontinuities and examine the temporal behavior of the frame physical parameters, namely the origin and the scale.
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ITRF2000: A new release of the International Terrestrial Reference Frame for earth science applications

TL;DR: The International Terrestrial Reference Frame (TRF2000) as discussed by the authors combines unconstrained space geodesy solutions that are free from any tectonic plate motion model, and its orientation time evolution follows, conventionally, that of the no-net-rotation NNR-NUVEL-1A model.
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Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium-Range Weather Forecasts operational analysis data

TL;DR: In this paper, the b and c coefficients of the continued fraction form for the hydrostatic mapping functions have been determined using the 40 years reanalysis (ERA-40) data of the European Centre for Medium-Range Weather Forecasts for the year 2001, and the updated VMF, based on these new coefficients and called VMF1 hereinafter, yields slightly better baseline length repeatabilities for VLBI data.
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