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Journal of Geophysical Research Solid Earth
Article . 2021 . Peer-reviewed
License: CC BY
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https://doi.org/10.1002/essoar...
Article . 2020 . Peer-reviewed
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GRACE Follow‐On Accelerometer Data Recovery

Authors: Behzadpour, Saniya; Mayer‐Gürr, Torsten; Krauss, Sandro;

GRACE Follow‐On Accelerometer Data Recovery

Abstract

Abstract In Gravity Recovery and Climate Experiment (GRACE) Follow‐on (GRACE‐FO) mission, similar to its predecessor GRACE, the twin satellites are equipped with three‐axis accelerometers, measuring the non‐gravitational forces. After 1 month in orbit, during the in‐orbit‐checkout phase, the noise on GRACE‐D accelerometer measurements elevated and resulted in systematical degradation of the data. For this reason, the GRACE‐D data need to be replaced by synthetic data, the so‐called transplant data, officially generated by the GRACE‐FO Science Data System (SDS). The SDS transplant data are derived from the GRACE‐C accelerometer measurements, by applying time and attitude corrections. Furthermore, model‐based residual accelerations due to thruster firings on GRACE‐D were added, proven to improve the data quality in gravity field recovery. However, preliminary studies of GRACE‐FO data during the single accelerometer months show that the low degree zonal harmonics, in particular C 20 and C 30 , are sensitive to the current transplant approach. In this work, we present a novel approach to recover the GRACE‐D ACT1B data by incorporating non‐gravitational force models and analyze its impact on monthly gravity field solutions. The results show the improved ACT1B data not only contributed to a noise reduction but also improved the estimates of the C 20 and C 30 coefficients. The application of this new approach demonstrates that the offset between Satellite Laser Ranging (SLR) and GRACE‐FO derived C 30 time series can be reduced by the use of the alternative accelerometer product.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
hybrid