Consistent estimation of geodetic parameters from SLR satellite constellation measurements

Bloßfeld, M; Rudenko, Sergei; Kehm, Alexander; Panafidina, Natalia; Müller, Hendrik; Angermann, D; Hugentobler, Urs; Seitz, Matthias

doi:10.1007/s00190-018-1166-7

Cited by 31 publications

(25 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When comparing modeled accelerations to a priori calibrated accelerometer measurements, the RMS of the differences (RMSD) is largest in the cross-track direction. This is not the case when using our calibrated accelerometer measurements; thus, the a priori calibration parameters in the cross-track direction might be less reliable than in the other directions, which is in line with the larger residuals of the fitted cross-track biases in Bettadpur (2009). The RMSD is largest with about 4 × 10 −8 m/s 2 in the radial direction when comparing modeled accelerations to our calibrated accelerometer data, which might be related to a remaining bias in the calibration procedure.…”

Section: Consisting Of Constant Scale Factors and Biases Fromsupporting

confidence: 51%

“…In case of using a priori calibrated accelerometer measurements, the radial RMSD reduction is larger with up to 27%, which is equal to 2 × 10 −9 m/s 2 . In fact, this is an expected result, since applying daily biases (Vielberg et al 2018) brings the measured accelerations closer to reality (and closer to modeled accelerations) than the calibration with fitted apriori biases (Bettadpur 2009). After introducing thermal reradiation and the BRDF, the improvement in the radial accelerations decreases to 2% (and 12%) with respect to the standard model when comparing to calibrated (and recommended a priori calibrated) accelerations.…”

Section: Consisting Of Constant Scale Factors and Biases Frommentioning

confidence: 61%

“…Our main modifications in modeling Earth radiation pressure accelerations are based on hourly CERES SYN1deg fields of the Earth's outgoing radiation combined with angular distribution models. Validations with one year of calibrated GRACE accelerometer measurements according to Bettadpur (2009) andVielberg et al (2018) suggest that the proposed model extensions (without thermal reradiation and BRDFs) decrease RMS fits to 5% and 27%, respectively. We conclude that the extended forward model for ERP and SRP accelerations has reduced systematic errors in the analytical models.…”

Section: Resultsmentioning

confidence: 96%

“…We confront modeled accelerations, which were calibrated following two different strategies: Fig. 9 (top) compares modeled accelerations against measurements, which are calibrated using the recommended a priori parameters by Bettadpur (2009) a quadratic fit of daily bias estimates derived from a precise orbit determination using data until March 2009. The absolute mean differences are at the order of 2 × 10 −8 m/s 2 in the along-track and 3 × 10 −7 m/s 2 in the cross-track directions.…”

Section: Forward Modeling: Extended Versus Standard Modelmentioning

confidence: 99%

See 3 more Smart Citations

Extended forward and inverse modeling of radiation pressure accelerations for LEO satellites

Vielberg

Kusche

2020

J Geod

View full text Add to dashboard Cite

For low Earth orbit (LEO) satellites, activities such as precise orbit determination, gravity field retrieval, and thermospheric density estimation from accelerometry require modeled accelerations due to radiation pressure. To overcome inconsistencies and better understand the propagation of modeling errors into estimates, we here suggest to extend the standard analytical LEO radiation pressure model with emphasis on removing systematic errors in time-dependent radiation data products for the Sun and the Earth. Our extended unified model of Earth radiation pressure accelerations is based on hourly CERES SYN1deg data of the Earth's outgoing radiation combined with angular distribution models. We apply this approach to the GRACE (Gravity Recovery and Climate Experiment) data. Validations with 1 year of calibrated accelerometer measurements suggest that the proposed model extension reduces RMS fits between 5 and 27%, depending on how measurements were calibrated. In contrast, we find little changes when implementing, e.g., thermal reradiation or anisotropic reflection at the satellite's surface. The refined model can be adopted to any satellite, but insufficient knowledge of geometry and in particular surface properties remains a limitation. In an inverse approach, we therefore parametrize various combinations of possible systematic errors to investigate estimability and understand correlations of remaining inconsistencies. Using GRACE-A accelerometry data, we solve for corrections of material coefficients and CERES fluxes separately over ocean and land. These results are encouraging and suggest that certain physical radiation pressure model parameters could indeed be determined from satellite accelerometry data.

show abstract

Section: Consisting Of Constant Scale Factors and Biases Fromsupporting

confidence: 51%

Section: Consisting Of Constant Scale Factors and Biases Frommentioning

confidence: 61%

Section: Resultsmentioning

confidence: 96%

Section: Forward Modeling: Extended Versus Standard Modelmentioning

confidence: 99%

See 2 more Smart Citations

Extended forward and inverse modeling of radiation pressure accelerations for LEO satellites

Vielberg

Kusche

2020

J Geod

View full text Add to dashboard Cite

show abstract

“…Satellite laser ranging (SLR) is the space geodetic technique used for many applications (Pearlman et al 2019), such as the realization of the origin and scale of the International Terrestrial Reference Frames (ITRF, Altamimi et al 2016), determination of global geodetic parameters, such as polar motion and length-of-day (LOD) excess (Pavlis 1994;Sośnica et al 2014;Glaser et al 2015;Bloßfeld et al 2018), determination of low-degree harmonics of the Earth's gravity potential (Cox and Chao 2002;Bloßfeld et al 2015;Sośnica et al 2015a;Cheng and Ries 2017), orbit determination and validation for active satellites and space debris (Arnold et al 2018;Strugarek et al 2019;Kucharski et al 2017), time transfer (Exertier et al 2018), and verification of various general relativity effects (Ciufolini and Pavlis 2004;Pardini et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Estimating global geodetic parameters using SLR observations to Galileo, GLONASS, BeiDou, GPS, and QZSS

Sośnica

Bury

Zajdel

et al. 2019

Earth Planets Space

View full text Add to dashboard Cite

All Galileo, GLONASS, QZSS, and BeiDou satellites are equipped with laser retroreflector arrays dedicated to satellite laser ranging (SLR). Using SLR data to new GNSS systems allows for estimating global geodetic parameters, such as Earth rotation parameters, global scale, and geocenter coordinates. In this study, we evaluate the quality of global geodetic parameters estimated on a basis of SLR tracking of new GNSS satellites and the combined solution based on SLR observations to GNSS and LAGEOS. We show that along with a progressive populating of Galileo orbital planes, the quality of geocenter components based on SLR-GNSS data has been improved to the level of 6 and 15 mm for equatorial and polar geocenter components, respectively. The scale of the reference frame and the geocenter coordinates in the combined LAGEOS + GNSS solutions are dominated by the LAGEOS data. Some noncore SLR stations provide by far more observations to GNSS than to LAGEOS, e.g., Russian and Chinese stations dedicated to supporting GLONASS and BeiDou constellations. The number of solutions for these stations can be increased by up to 40%, whereas the station coordinate repeatability can be improved from about 20-30 mm to the level of 15-20 mm when considering both SLR to LAGEOS and SLR to GNSS. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

show abstract

Recent Activities of the GGOS Standing Committee on Performance Simulations and Architectural Trade-Offs (PLATO)

Männel

Thaller

Rothacher

et al. 2018

International Symposium on Advancing Geodesy in a Changing World

View full text Add to dashboard Cite

Consistent estimation of geodetic parameters from SLR satellite constellation measurements

Cited by 31 publications

References 28 publications

Extended forward and inverse modeling of radiation pressure accelerations for LEO satellites

Extended forward and inverse modeling of radiation pressure accelerations for LEO satellites

Estimating global geodetic parameters using SLR observations to Galileo, GLONASS, BeiDou, GPS, and QZSS

Recent Activities of the GGOS Standing Committee on Performance Simulations and Architectural Trade-Offs (PLATO)

Contact Info

Product

Resources

About