Inference of variations in the gravity field from satellite-to-satellite range rate

1983 ◽  
Vol 88 (B10) ◽  
pp. 8345 ◽  
Author(s):  
William M. Kaula
Keyword(s):  
Geosciences ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. 350 ◽  
Author(s):  
Neda Darbeheshti ◽  
Florian Wöske ◽  
Matthias Weigelt ◽  
Christopher Mccullough ◽  
Hu Wu

This paper introduces GRACETOOLS, the first open source gravity field recovery tool using GRACE type satellite observations. Our aim is to initiate an open source GRACE data analysis platform, where the existing algorithms and codes for working with GRACE data are shared and improved. We describe the first release of GRACETOOLS that includes solving variational equations for gravity field recovery using GRACE range rate observations. All mathematical models are presented in a matrix format, with emphasis on state transition matrix, followed by details of the batch least squares algorithm. At the end, we demonstrate how GRACETOOLS works with simulated GRACE type observations. The first release of GRACETOOLS consist of all MATLAB M-files and is publicly available at Supplementary Materials.


2021 ◽  
Author(s):  
William Desprats ◽  
Daniel Arnold ◽  
Michel Blanc ◽  
Adrian Jäggi ◽  
Mingtao Li ◽  
...  

<p>The exploration of Callisto is part of the extensive interest in the icy moons characterization. Indeed, Callisto is the Galilean moon with the best-preserved records of the Jovian system formation. Led by the National Space Science Center (NSSC), Chinese Academy of Science (CAS), the planned Gan De mission aims to send an orbiter around Callisto in order to characterize its surface and interior. Potential orbit configurations are currently under study for the Gan De mission proposal.</p><p>As part of a global characterization of Callisto, its gravity field can be inferred using radio tracking data from an orbiter. Mission characteristics such as orbit type, Earth beta angle and solar elongation will have a direct influence on the recoverability of its gravity field parameters. In this study, we will analyse this influence from closed-loop simulations using the planetary extension of the Bernese GNSS Softwareai.</p><p>A number of reference orbits with different orbital characteristics will be selected for the Gan De mission and, using an extended force model, will be propagated from different starting dates and different initial Earth beta angles. Realistic Doppler tracking data (2-way X-band Doppler range rate) will be simulated as measurements from ground stations, with a dedicated noise model. These observations will then be used to reconstruct the orbit along with dynamical parameters. The focus of this presentation will be on the quality of the retrieved gravity field parameters and tidal Love number k2.</p>


2020 ◽  
Author(s):  
Mathias Duwe ◽  
Igor Koch ◽  
Jakob Flury ◽  
Akbar Shabanloui

<p>At our Institute we compute monthly gravity potential solutions from GRACE/GRACE-FO level 1B data by using the variational equations approach. The gravity field is recovered with our own MATLAB software "GRACE-SIGMA" that was recently updated in order to reduce the calculation time with parallel computing approach by approx. 80%. Also the processing chain has changed to update the background modeling and we made tests with different orbit types and different parametrizations. We discuss progress to include laser ranging interferometer data in gravity field solutions. We present validation results and analyze the properties of postfit range-rate residuals.</p>


2006 ◽  
Vol 33 (2) ◽  
Author(s):  
S. B. Luthcke ◽  
D. D. Rowlands ◽  
F. G. Lemoine ◽  
S. M. Klosko ◽  
D. Chinn ◽  
...  

2019 ◽  
Author(s):  
Saniya Behzadpour ◽  
Torsten Mayer-Gürr ◽  
Jakob Flury ◽  
Beate Klinger ◽  
Sujata Goswami

Abstract. For further improvements of gravity field models based on Gravity Recovery and Climate Experiment (GRACE) observations, it is necessary to identify the error sources within the recovery process. Observation residuals obtained during the gravity field recovery contain most of the measurement and modeling errors and thus can be considered as a realization of actual errors. In this work, we investigate the ability of wavelets to help in identifying specific error sources in GRACE range rate residuals. The Multi-Resolution Analysis (MRA) using Discrete Wavelet Transform (DWT) is applied to decompose the residual signal into different scales with corresponding frequency bands. Temporal, spatial, and orbit-related features of each scale are then extracted for further investigations. The wavelet analysis has proved to be a practical tool to find the main error contributors. Beside the previously known sources such as K-Band Ranging (KBR) system noise and systematic attitude variations, this method clearly shows effects which the classic spectral analysis is hardly able or unable to represent. These effects include long-term signatures due to satellite eclipse crossings and dominant ocean tide errors.


2021 ◽  
Author(s):  
Paolo Tortora ◽  
Marco Zannoni ◽  
Edoardo Gramigna ◽  
Riccardo Lasagni Manghi ◽  
Sebastien Le Maistre ◽  
...  

<p>The Asteroid Impact and Deflection Assessment (AIDA) is an international collaboration supported by ESA and NASA to assess the feasibility of the kinetic impactor technique to deflect an asteroid, combining data obtained from NASA’s DART and ESA’s Hera missions. Together the missions represent the first humankind’s investigations of a planetary defense technique. In 2022, DART will impact Dimorphos, the secondary of the binary near-Earth asteroid (65803) Didymos.  After 4 years, Hera will follow-up with a detailed post-impact survey of Didymos, to fully characterize and validate this planetary defense technique. In addition, Hera will deploy two CubeSats around Didymos once the Early Characterization Phase has completed, to augment the observations of the mother spacecraft. Juventas, the first Cubesat, will complete a low-frequency radar survey of the secondary, to unveil its interior. Milani, the second Cubesat, will perform a global mapping of Didymos and Dimorphos, with a focus on their compositional difference and their surface properties. One of the main objectives of Hera is to determine the binary system’s mass, gravity field, and dynamical state using radio tracking data in combination with imaging data. The gravity science experiment includes classical ground-based radiometric measurements between Hera and ground stations on Earth by means of a standard two-way X-band link, onboard images of Didymos, and spacecraft-to-spacecraft inter-satellite (ISL) radiometric tracking between Hera and the Cubesats. The satellite-to-satellite link is a crucial add-on to the gravity estimation of low-gravity bodies by exploiting the Cubesats’ proximity to the binary, as the range-rate measurements carried out by the inter-satellite link contain information on the dynamics of the system, i.e., masses and gravity field of Didymos primary and secondary.</p><p>We will describe the updated mission scenario for the Hera radio science experiment to be jointly carried out by the three mission elements, i.e., Hera, Juventas and Milani. To conclude, our updated analysis and latest results, as well as the achievable accuracy for the estimation of the mass and gravity field of Didymos and Dimorphos, are presented.</p>


2018 ◽  
Author(s):  
Sujata Goswami

For the missions like GRACE, the precise knowledge of the satellite’s attitude is a fundamental requirement forthe realization of the inter-satellite ranging principle. It is not only essential for the realization of the precise in-orbit intersatellitepointing, but also for the recovery of accurate temporal gravity field models. Here we present a comparative studyof two attitude datasets. One of them is the standard SCA1B RL02 datasets provided by JPL NASA and another is a fusedattitude dataset computed at TU Graz, based on the combination of ACC1B angular accelerations and SCA1B quaternions.Further, we also present the impact of the attitude datasets on the inter-satellite range measurements by analyzing theirresiduals. Our analysis reveals the significant improvement in the attitude due to the reprocessed product and reducedvalue of residuals computed from the reprocessed attitude


2020 ◽  
Author(s):  
Jean-Michel Lemoine ◽  
Stéphane Bourgogne

<p>In February 2020 CNES/GRGS published its 5th reprocessing (called "RL05") of the GRACE data, from August 2002 to August 2016. The extension of this series covering the span of the GRACE-FO data, 2018-now, will be released in October. This new times series comes, as for the previous releases, in a monthly and a 10-day time resolution. </p> <p>The main differences of the new release with respect to the previous one are :<br />- the use of the most recent version of the JPL KBR data (version 3),<br />- the use of the IGS orbits and clocks in replacement of the GRGS ones,<br />- a completely homogenous processing over the full time span,<br />- the use of AOD1B-RL06 for the dealiasing data in replacement of the ERA-Interim+TUGO products.</p> <p>For the processing of the GRACE-FO data we have used the TUGRAZ transplant accelerometer data instead of the JPL one, resulting in a great stabilization of the accelerometer scale factors, now close to 1 over the full time span, in a reduction of the range-rate and GPS residuals and in an improvement of the gravity field solutions.</p> <p>This presentation will focus on the processing details and on the comparison of this new series with the Release 06 from JPL / GFZ / CSR, the ITSG-Grace2018 time series from TUGRAZ, and the combined time series from the new international combination service COST-G.</p>


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