Second-degree Stokes coefficients from multi-satellite SLR

Bloßfeld, M; Müller, Hendrik; Gerstl, M; Stefka, V.; Bouman, J; Göttl, Franziska; Horwath, Martin

doi:10.1007/s00190-015-0819-z

Cited by 35 publications

(27 citation statements)

References 37 publications

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“…As a result, SLR contributes B Grzegorz Bury grzegorz.bury@igig.up.wroc.pl 1 Institute of Geodesy and Geoinformatics, Wrocław University of Environmental and Life Sciences, Grunwaldzka 53,Poland to the determination of geocenter coordinates, defining thus the origin of ITRF, the global scale, and station coordinates. Apart from the realization of ITRF, SLR provides the most accurate value of the standard gravitational parameter, GM, and low-degree spherical harmonics of the Earth's gravity field (Thaller et al 2011;Bloßfeld et al 2015;Sośnica et al 2015;Cheng and Ries 2017). The International Laser Ranging Service (ILRS, Pearlman et al 2002) unifies and coordinates all activities of SLR stations that represent the ground segment of SLR.…”

Section: Role Of Slr In Space Geodesymentioning

confidence: 99%

Multi-GNSS orbit determination using satellite laser ranging

Bury

Sośnica

Zajdel

2018

J Geod

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Galileo, BeiDou, QZSS, and NavIC are emerging global navigation satellite systems (GNSSs) and regional navigation satellite systems all of which are equipped with laser retroreflector arrays for range measurements. This paper summarizes the GNSSintensive tracking campaigns conducted by the International Laser Ranging Service and provides results from multi-GNSS orbit determination using solely SLR observations. We consider the whole constellation of GLONASS, all active Galileo, four BeiDou satellites: 1 MEO, 3 IGSO, and one QZSS. We analyze the influence of the number of SLR observations on the quality of the 3-day multi-GNSS orbit solution. About 60 SLR observations are needed for obtaining MEO orbits of sufficient quality with the root mean square (RMS) of 3 cm for the radial component when compared to microwave-based orbits. From the analysis of a minimum number of tracking stations, when considering the 3-day arcs, 5 SLR stations do not provide a sufficient geometry of observations. The solution obtained using ten stations is characterized with RMS of 4, 9, and 18 cm in the radial, along-track, and cross-track direction, respectively, for MEO satellites. We also investigate the impact of the length of orbital arc on the quality of SLR-derived orbits. Hence, 5-and 7-day arcs constitute the best solution, whereas 3-day arcs are of inferior quality due to an insufficient number of SLR observations and 9-day arcs deteriorate the along-track component. The median RMS from the comparison between 7-day orbital arcs determined using SLR data with microwave-based orbits assumes values in the range of 3-4, 11-16, and 15-27 cm in radial, along-track, and cross-track, respectively, for MEO satellites. BeiDou IGSO and QZSS are characterized by RMS values higher by a factor of 8 and 24, respectively, than MEO orbits.

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Section: Role Of Slr In Space Geodesymentioning

confidence: 99%

Multi-GNSS orbit determination using satellite laser ranging

Bury

Sośnica

Zajdel

2018

J Geod

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“…The contributions of laser ranging observations to Etalon 1 and Etalon 2, albeit (partly) included in the ILRS combination after 1993, appear to be minimal as a result of the sparsity of tracking and of the high mean altitude of the two satellites' orbits. (For an in‐depth analysis of the contribution of the individual SLR satellites in multisatellite combinations, the interested reader is addressed to Bloßfeld et al [], where the authors prove that the role of the LAGEOS satellites is predominant (cf. Table 3) in estimating low‐order Stokes coefficients of Earth's gravity field). As illustrated by the Bayesian analysis of Figure S1 in the supporting information, the periodograms point out statistically significant annual signal in the three SLR translational components, whose nature is geophysical and related to the hemispherical mass transfer of terrestrial fluids [ Blewitt et al , ]. The last two panels compare the interferometric (VLBI derived) and the optical (SLR‐derived) scales.…”

Section: Precombination Analysesmentioning

confidence: 99%

JTRF2014, the JPL Kalman filter and smoother realization of the International Terrestrial Reference System

et al. 2017

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We present and discuss JTRF2014, the Terrestrial Reference Frame (TRF) the Jet Propulsion Laboratory constructed by combining space‐geodetic inputs from very long baseline interferometry (VLBI), satellite laser ranging (SLR), Global Navigation Satellite Systems (GNSS), and Doppler orbitography and radiopositioning integrated by satellite submitted for the realization of ITRF2014. Determined through a Kalman filter and Rauch‐Tung‐Striebel smoother assimilating position observations, Earth orientation parameters, and local ties, JTRF2014 is a subsecular, time series‐based TRF whose origin is at the quasi‐instantaneous center of mass (CM) as sensed by SLR and whose scale is determined by the quasi‐instantaneous VLBI and SLR scales. The dynamical evolution of the positions accounts for a secular motion term, annual, and semiannual periodic modes. Site‐dependent variances based on the analysis of loading displacements induced by mass redistributions of terrestrial fluids have been used to control the extent of random walk adopted in the combination. With differences in the amplitude of the annual signal within the range 0.5–0.8 mm, JTRF2014‐derived center of network‐to‐center of mass (CM‐CN) is in remarkable agreement with the geocenter motion obtained via spectral inversion of GNSS, Gravity Recovery and Climate Experiment (GRACE) observations and modeled ocean bottom pressure from Estimating the Circulation and Climate of the Ocean (ECCO). Comparisons of JTRF2014 to ITRF2014 suggest high‐level consistency with time derivatives of the Helmert transformation parameters connecting the two frames below 0.18 mm/yr and weighted root‐mean‐square differences of the polar motion (polar motion rate) in the order of 30 μas (17 μas/d).

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“…The utility of these observations continues to drive advancements in SLR data processing for improving the accuracy of the recovered low-degree gravity coefficients (Bloßfeld et al, 2015; Cheng Sośnica et al, 2015). The utility of these observations continues to drive advancements in SLR data processing for improving the accuracy of the recovered low-degree gravity coefficients (Bloßfeld et al, 2015; Cheng Sośnica et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…In addition to our own C 20 solution (GSFC), we analyze and discuss the recent results from CSR (Cheng & Ries, 2017); the Astronomisches Institut, Universität Bern (AIUB; Sośnica et al, 2015); the Centre National d'Etudes Spatiales/Groupe de Recherche de Géodésie Spatiale (GRGS; Lemoine et al, 2018), and the Deutsches Geodätisches Forschungsinstitut, Technische Universität München (DGFI; Bloßfeld et al, 2015). The comparative analyses focus on the C 20 trend, as significant discrepancies exist between previously published results, and the trend alone has an important impact on GRACE-derived changes of global mean sea level (GMSL) and ice mass in the AIS, and GIS.…”

Section: Introductionmentioning

confidence: 99%

Improved Earth Oblateness Rate Reveals Increased Ice Sheet Losses and Mass‐Driven Sea Level Rise

Loomis

Rachlin

Luthcke

2019

Geophysical Research Letters

140

127

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Satellite laser ranging (SLR) observations are routinely applied toward the estimation of dynamic oblateness, C20, which is the largest globally integrated component of Earth's time‐variable gravity field. Since 2002, GRACE and GRACE Follow‐On have revolutionized the recovery of higher spatial resolution features of global time‐variable gravity, with SLR continuing to provide the most reliable estimates of C20. We quantify the effect of various SLR processing strategies on estimating C20 and demonstrate better signal recovery with the inclusion of GRACE‐derived low‐degree gravity information in the forward model. This improved SLR product modifies the Antarctic and Greenland Ice Sheet mass trends by −15.4 and −3.5 Gt/year, respectively, as compared to CSR TN11, and improves global mean sea level budget closure by modifying sea level rise by +0.08 mm/year. We recommend that this new C20 product be applied to RL06 GRACE data products for enhanced accuracy and scientific interpretation.

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Second-degree Stokes coefficients from multi-satellite SLR

Cited by 35 publications

References 37 publications

Multi-GNSS orbit determination using satellite laser ranging

Multi-GNSS orbit determination using satellite laser ranging

JTRF2014, the JPL Kalman filter and smoother realization of the International Terrestrial Reference System

Improved Earth Oblateness Rate Reveals Increased Ice Sheet Losses and Mass‐Driven Sea Level Rise

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