Comparing GRACE-FO KBR and LRI Ranging Data with Focus on Carrier Frequency Variations

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Müller, V.; Hauk, M.; Misfeldt, M.; Müller, L.; Wegener, H. et al.: Comparing GRACE-FO KBR and LRI Ranging Data with Focus on Carrier Frequency Variations. In: Remote Sensing 14 (2022), Nr. 17, 4335. DOI: https://doi.org/10.3390/rs14174335

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Abstract: 
The GRACE Follow-On satellite mission measures distance variations between its two satellites in order to derive monthly gravity field maps, indicating mass variability on Earth on a scale of a few 100 km originating from hydrology, seismology, climatology and other sources. This mission hosts two ranging instruments, a conventional microwave system based on K(a)-band ranging (KBR) and a novel laser ranging instrument (LRI), both relying on interferometric phase readout. In this paper, we show how the phase measurements can be converted into range data using a time-dependent carrier frequency (or wavelength) that takes into account potential intraday variability in the microwave or laser frequency. Moreover, we analyze the KBR-LRI residuals and discuss which error and noise contributors limit the residuals at high and low Fourier frequencies. It turns out that the agreement between KBR and LRI biased range observations can be slightly improved by considering intraday carrier frequency variations in the processing. Although the effect is probably small enough to have little relevance for gravity field determination at the current precision level, this analysis is of relevance for detailed instrument characterization and potentially for future more precise missions.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Fakultät für Mathematik und Physik

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1 image of flag of Germany Germany 23 44.23%
2 image of flag of United States United States 14 26.92%
3 image of flag of China China 7 13.46%
4 image of flag of No geo information available No geo information available 2 3.85%
5 image of flag of Australia Australia 2 3.85%
6 image of flag of India India 1 1.92%
7 image of flag of Indonesia Indonesia 1 1.92%
8 image of flag of France France 1 1.92%
9 image of flag of Europe Europe 1 1.92%

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