Non-linear station motions in epoch and multi-year reference frames

Bloßfeld, M; Seitz, Matthias; Angermann, D

doi:10.1007/s00190-013-0668-6

Cited by 32 publications

(36 citation statements)

References 27 publications

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“…With time intervals of a few days or weeks, non-linear signals can be taken into account without parameterizing them by explicit functions. Examples of this technique are epoch reference frames (Bloßfeld et al, 2014) and TRF solutions based on Kalman filtering . The latter also allows for extended parameterization and is thus a mixture of option three and four.…”

Section: Introductionmentioning

confidence: 99%

Determination of a terrestrial reference frame via Kalman filtering of very long baseline interferometry data

Soja

Nilsson

Balidakis

et al. 2016

J Geod

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Terrestrial reference frames (TRF), such as the ITRF2008, are primary products of geodesy. In this paper, we present TRF solutions based on Kalman filtering of very long baseline interferometry (VLBI) data, for which we estimate steady station coordinates over more than 30 years that are updated for every single VLBI session. By applying different levels of process noise, non-linear signals, such as seasonal and seismic effects, are taken into account. The corresponding stochastic model is derived site-dependent from geophysical loading deformation time series and is adapted during periods of post-seismic deformations. Our results demonstrate that the choice of stochastic process has a much smaller impact on the coordinate time series and velocities than the overall noise level. If process noise is applied, tests with and without additionally estimating seasonal signals indicate no difference between the resulting coordinate time series for periods when observational data are available. In a comparison with epoch reference frames, the Kalman filter solutions provide better short-term stability. Furthermore, we find out that the Kalman filter solutions are of similar quality when compared to a consistent least-squares solution, however, with the enhanced attribute of being

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Section: Introductionmentioning

confidence: 99%

Determination of a terrestrial reference frame via Kalman filtering of very long baseline interferometry data

Soja

Nilsson

Balidakis

et al. 2016

J Geod

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“…Taking into account today's high accuracy of the space geodetic observations, non-linear station motions caused by various geohysical phenomena (e.g., postseismic deformations, volcanic activities, atmospheric or hydrological loading effects) become significant [e.g., Bevis et al 2014;Blossfeld et al 2014;X. Wu et al 2015].…”

Section: Modelling Of Station Positions and Displacementsmentioning

confidence: 99%

The Geodesist’s Handbook 2016

Drewes

Kuglitsch

Ádám

et al. 2016

J Geod

140

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“…Since not all geophysical processes are known or can be modeled perfectly, X R moves not purely linearly over time (Bloßfeld et al 2014). Examples for un-modeled effects include atmospheric or hydrological loading (Tregoning and van Dam 2005), the elastic response of the lithosphere due to mass variations in a flowing river system (Bevis et al 2005) or, e.g., anthropogenic periodic effects due to groundwater withdrawal (Bawden et al 2001).…”

Section: Introductionmentioning

confidence: 99%

“…If the regularized station position is estimated frequently (e.g. every 1, 7, 14 or 28 days), the non-linear station motions are approximated automatically (Bloßfeld et al 2014). This TRF realization is called an epoch reference frame (ERF).…”

Section: Introductionmentioning

confidence: 99%

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Epoch Reference Frames as Short-Term Realizations of the ITRS

Bloßfeld¹,

Seitz²,

Angermann³

2015

International Association of Geodesy Symposia

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The IAG (International Association of Geodesy) and the IERS (International Earth Rotation and Reference Systems Service) Joint Working Group (JWG) on "Modeling environmental loading effects for reference frame realizations" currently investigates the effect of correcting station positions for non-linear loading displacements on the realization of the International Terrestrial Reference System (ITRS). Another IAG/IERS JWG works on strategies for the frequent realization of single-technique and combined short-term reference frames, which are called epoch reference frames (ERFs). Both approaches are able to resolve the lack of parametrization which occurs when only taking linear velocities of geodetic observation sites into account (conventional parametrization). ERFs can account for any non-linear station motion (periodic signals, abrupt position changes, non-linear regional deformations, instrumental-related motions, etc.) on a regional as well as on a global basis.In this study, combined ERFs using the geodetic space techniques GPS, VLBI, SLR with different temporal resolutions (7-, 14-and 28-day) are compared to conventional multiyear/long-term realizations of the ITRS w.r.t. the datum stability and the ability to sample non-linear station motions. The 7-/14-day ERFs are able to monitor short-term station motions but the realization of the datum is not as stable as for the long-term reference frames. The 28-day ERFs have a more stable datum but are only able to monitor very slow long-term motions such as post-seismic deformations. Keywords Epoch reference frame • ERF • ITRF • MRF • Non-linear station motions IntroductionTerrestrial Reference Frames (TRFs) nowadays are used for a broad variety of applications in geosciences and practice.

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Non-linear station motions in epoch and multi-year reference frames

Cited by 32 publications

References 27 publications

Determination of a terrestrial reference frame via Kalman filtering of very long baseline interferometry data

Determination of a terrestrial reference frame via Kalman filtering of very long baseline interferometry data

The Geodesist’s Handbook 2016

Epoch Reference Frames as Short-Term Realizations of the ITRS

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