GSTM2022-84
https://doi.org/10.5194/gstm2022-84
GRACE/GRACE-FO Science Team Meeting 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

LRI post-fit range rate residuals - analysis and comparison

Mathias Duwe, Igor Koch, and Prof. Dr.-Ing. Jakob Flury
Mathias Duwe et al.
  • Leibniz University Hannover, Institute of Geodesy, Hannover, Germany (duwe@ife.uni-hannover.de)

At the institute of geodesy (IfE) we are processing GRACE and GRACE-FO level 1B data to obtain the time variable monthly gravity field (TVG). For this we are using a 2 step variational equation approach (Koch et al. 2021) implemented in our inhouse developed and evolving software GRACE-SIGMA. The software determines different types of TVG: KBR only, LRI only and combined (KBR and LRI) L1B data based all in one step. This allowes an easier and faster intercomparison in terms of spectral and spatial analysis. After determining the gravity field our processing chain calculates the post-fit range-rage residuals which reveals uncertenties e.g. in sensor models, background models, etc. At IfE we are studying these residuals to explain some geophysical phenomena and sensor behavior anomalies. On my poster I focusing on sensor behaviours derived from LRI post-fit range rate residuals. In additon I will show our recent improvements in software. 

How to cite: Duwe, M., Koch, I., and Flury, P. Dr.-Ing. J.: LRI post-fit range rate residuals - analysis and comparison, GRACE/GRACE-FO Science Team Meeting 2022, Potsdam, Germany, 18–20 Oct 2022, GSTM2022-84, https://doi.org/10.5194/gstm2022-84, 2022.