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  What Can be Expected from the GRACE-FO Laser Ranging Interferometer for Earth Science Applications?

Flechtner, F., Neumayer, K., Dahle, C., Dobslaw, H., Fagiolini, E., Raimondo, J.-C., Güntner, A. (2016): What Can be Expected from the GRACE-FO Laser Ranging Interferometer for Earth Science Applications? - In: Cazenave, A., Champollion, N., Benveniste, J., Chen, J. (Eds.), Remote Sensing and Water Resources, (Space Sciences Series of ISSI ; 55), Cham : Springer International Publishing, 263-280.
https://doi.org/10.1007/978-3-319-32449-4_11

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 Creators:
Flechtner, Frank1, Author              
Neumayer, Karl1, Author              
Dahle, Christoph1, Author              
Dobslaw, H.2, Author              
Fagiolini, Elisa1, Author              
Raimondo, J.-C.1, Author              
Güntner, A.3, Author              
Affiliations:
11.2 Global Geomonitoring and Gravity Field, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146026              
21.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146027              
35.4 Hydrology, 5.0 Geoarchives, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146048              

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 Abstract: The primary objective of the gravity recovery and climate experiment followon (GRACE-FO) satellite mission, due for launch in August 2017, is to continue the GRACE time series of global monthly gravity field models. For this, evolved versions of the GRACE microwave instrument, GPS receiver, and accelerometer will be used. A secondary objective is to demonstrate the effectiveness of a laser ranging interferometer (LRI) in improving the satellite-to-satellite tracking measurement performance. In order to investigate the expected enhancement for Earth science applications, we have performed a full-scale simulation over the nominal mission lifetime of 5 years using a realistic orbit scenario and error assumptions both for instrument and background model errors. Unfiltered differences between the synthetic input and the finally recovered time-variable monthly gravity models show notable improvements with the LRI, on a global scale, of the order of 23 %. The gain is realized for wavelengths smaller than 240 km in case of Gaussian filtering but decreases to just a few percent when anisotropic filtering is applied. This is also confirmed for some typical regional Earth science applications which show randomly distributed patterns of small improvements but also degradations when using DDK4-filtered LRI-based models. Analysis of applied error models indicates that accelerometer noise followed by ocean tide and non-tidal mass variation errors are the main contributors to the overall GRACE-FO gravity model error. Improvements in these fields are therefore necessary, besides optimized constellations, to make use of the increased LRI accuracy and to significantly improve gravity field models from next-generation gravity missions.

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Language(s): eng - English
 Dates: 2016
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-319-32449-4_11
GFZPOF: p3 PT1 Global Processes
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Title: Remote Sensing and Water Resources
Source Genre: Book
 Creator(s):
Cazenave, A.1, Editor
Champollion, N.1, Editor
Benveniste, J.1, Editor
Chen, J.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Cham : Springer International Publishing
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 263 - 280 Identifier: -

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Title: Space Sciences Series of ISSI
Source Genre: Series
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Pages: - Volume / Issue: 55 Sequence Number: - Start / End Page: - Identifier: -