EGU23-6940
https://doi.org/10.5194/egusphere-egu23-6940
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Evaluation of GRACE Follow-On Accelerometer Transplant Based on High-Precision Environment Modelling

Moritz Huckfeldt1, Florian Wöske1, Benny Rievers1, and Meike List2,3
Moritz Huckfeldt et al.
  • 1Center of Applied Space Technology and Microgravity, University of Bremen, Bremen, Germany
  • 2Institute for satellite geodesy and inertial sensing, German Aerospace Center (DLR), Bremen, Germany
  • 3University of Bremen, Bremen, Germany

The Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) satellites are equipped with high-precision three-axis accelerometers to measure all non-gravitational accelerations acting on the satellites. Unfortunately, after only one month in orbit the accelerometer on one of the two satellites produced decreasingly accurate measurements. Due to this, the GRACE-D accelerometer data have to be replaced by artificial data for the use in the Gravity Field Recovery (GFR) process. This artificial GRACE-D Science Data System (SDS) data product is generated by a so called transplant of GRACE-C data.

We are developing a GFR procedure for GRACE-FO that utilizes modelled GRACE-D accelerometer data including our own transplant approach. Here we present the performance evaluation of our modelled data when compared to gravity fields from other processing centres. This includes the comparison of different models for non-gravitational perturbations, the transplant procedure and the influence of varying calibration methods.

This work is part of the Collaborative Research Center 1464 TerraQ and funded by DFG.

How to cite: Huckfeldt, M., Wöske, F., Rievers, B., and List, M.: Evaluation of GRACE Follow-On Accelerometer Transplant Based on High-Precision Environment Modelling, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-6940, https://doi.org/10.5194/egusphere-egu23-6940, 2023.

Supplementary materials

Supplementary material file