Instrument data simulations for GRACE Follow-on: Observation and noise models

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Darbeheshti, N.; Wegener, H.; Müller, V.; Naeimi, M.; Heinzel, G.; Hewitson, M.: Instrument data simulations for GRACE Follow-on: Observation and noise models. In: Earth System Science Data 9 (2017), Nr. 2, S. 833-848. DOI: https://doi.org/10.5194/essd-9-833-2017

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/2635

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Sum total of downloads: 389




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The Gravity Recovery and Climate Experiment (GRACE) mission has yielded data on the Earth's gravity field to monitor temporal changes for more than 15 years. The GRACE twin satellites use microwave ranging with micrometre precision to measure the distance variations between two satellites caused by the Earth's global gravitational field. GRACE Follow-on (GRACE-FO) will be the first satellite mission to use inter-satellite laser interferometry in space. The laser ranging instrument (LRI) will provide two additional measurements compared to the GRACE mission: Interferometric inter-satellite ranging with nanometre precision and inter-satellite pointing information. We have designed a set of simulated GRACE-FO data, which include LRI measurements, apart from all other GRACE instrument data needed for the Earth's gravity field recovery. The simulated data files are publicly available via https://doi.org/10.22027/AMDC2 and can be used to derive gravity field solutions like from GRACE data. This paper describes the scientific basis and technical approaches used to simulate the GRACE-FO instrument data.data. This paper describes the scientific basis and technical approaches used to simulate the GRACE-FO instrument data.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie
Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 289 74.29%
2 image of flag of United States United States 34 8.74%
3 image of flag of China China 27 6.94%
4 image of flag of United Kingdom United Kingdom 5 1.29%
5 image of flag of France France 5 1.29%
6 image of flag of No geo information available No geo information available 4 1.03%
7 image of flag of Netherlands Netherlands 4 1.03%
8 image of flag of Indonesia Indonesia 4 1.03%
9 image of flag of Nepal Nepal 2 0.51%
10 image of flag of Switzerland Switzerland 2 0.51%
    other countries 13 3.34%

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