EGU2020-3017
https://doi.org/10.5194/egusphere-egu2020-3017
EGU General Assembly 2020
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

GRACE-FO accelerometer data recovery within ITSG-Grace2018 data processing

Saniya Behzadpour, Torsten Mayer-Gürr, Andreas Kvas, Sandro Krauss, Sebastian Strasser, and Barbara Süsser-Rechberger
Saniya Behzadpour et al.
  • Institute of Geodesy, Graz University of Technology, Graz, Austria (behzadpour@tugraz.at)

In GRACE-FO (Gravity Recovery and Climate Experiment Follow-on) mission, similar to its predecessor GRACE, the twin satellites are equipped with three-axis accelerometers, measuring the non-gravitational forces. After one month in orbit, the GRACE-D accelerometer data degraded and its measurements were replaced by synthetic accelerometer data, the so-called transplant data, officially generated by the Jet Propulsion Laboratory (JPL). The transplant data was derived from the GRACE-C accelerometer measurements, by applying a time and attitude corrections and adding model-based residual accelerations due to thruster firings on GRACE-D.

For the ITSG-Grace2018 GRACE-FO release, the gravity field recovery is based on the use of in-house Level-1B accelerometer data (ACT1B) using the provided Level-1A data products. In this work, we present a novel approach to recover the ACT1B data by (a) implementing the state-of-the-art non-gravitational force models and (b) applying additional force model corrections.

The preliminary results show the improved ACT1B data not only contributed to a noise reduction but also improved the estimates of the C20 and C30 coefficients. We show that the offset between SLR (Satellite Laser Ranging) and GRACE-FO derived C20 and C30 time series can be reduced remarkably by the use of the new accelerometer product, demonstrating the merit of this new approach.

How to cite: Behzadpour, S., Mayer-Gürr, T., Kvas, A., Krauss, S., Strasser, S., and Süsser-Rechberger, B.: GRACE-FO accelerometer data recovery within ITSG-Grace2018 data processing, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3017, https://doi.org/10.5194/egusphere-egu2020-3017, 2020.

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