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Article

SLR, GRACE and Swarm Gravity Field Determination and Combination

1
Astronomical Institute, University of Bern, 3012 Bern, Switzerland
2
Institute of Geodesy and Geoinformatics, Wroclaw University of Environmental and Life Sciences, 50-375 Wroclaw, Poland
3
GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
4
Bundesamt für Kartographie und Geodäsie, 60598 Frankfurt, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(8), 956; https://doi.org/10.3390/rs11080956
Received: 28 February 2019 / Revised: 30 March 2019 / Accepted: 16 April 2019 / Published: 22 April 2019
(This article belongs to the Special Issue Remote Sensing by Satellite Gravimetry)
Satellite gravimetry allows for determining large scale mass transport in the system Earth and to quantify ice mass change in polar regions. We provide, evaluate and compare a long time-series of monthly gravity field solutions derived either by satellite laser ranging (SLR) to geodetic satellites, by GPS and K-band observations of the GRACE mission, or by GPS observations of the three Swarm satellites. While GRACE provides gravity signal at the highest spatial resolution, SLR sheds light on mass transport in polar regions at larger scales also in the pre- and post-GRACE era. To bridge the gap between GRACE and GRACE Follow-On, we also derive monthly gravity fields using Swarm data and perform a combination with SLR. To correctly take all correlations into account, this combination is performed on the normal equation level. Validating the Swarm/SLR combination against GRACE during the overlapping period January 2015 to June 2016, the best fit is achieved when down-weighting Swarm compared to the weights determined by variance component estimation. While between 2014 and 2017 SLR alone slightly overestimates mass loss in Greenland compared to GRACE, the combined gravity fields match significantly better in the overlapping time period and the RMS of the differences is reduced by almost 100 Gt. After 2017, both SLR and Swarm indicate moderate mass gain in Greenland. View Full-Text
Keywords: satellite gravimetry; ice mass change; GRACE; SLR; swarm; normal equation combination satellite gravimetry; ice mass change; GRACE; SLR; swarm; normal equation combination
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MDPI and ACS Style

Meyer, U.; Sosnica, K.; Arnold, D.; Dahle, C.; Thaller, D.; Dach, R.; Jäggi, A. SLR, GRACE and Swarm Gravity Field Determination and Combination. Remote Sens. 2019, 11, 956. https://doi.org/10.3390/rs11080956

AMA Style

Meyer U, Sosnica K, Arnold D, Dahle C, Thaller D, Dach R, Jäggi A. SLR, GRACE and Swarm Gravity Field Determination and Combination. Remote Sensing. 2019; 11(8):956. https://doi.org/10.3390/rs11080956

Chicago/Turabian Style

Meyer, Ulrich, Krzysztof Sosnica, Daniel Arnold, Christoph Dahle, Daniela Thaller, Rolf Dach, and Adrian Jäggi. 2019. "SLR, GRACE and Swarm Gravity Field Determination and Combination" Remote Sensing 11, no. 8: 956. https://doi.org/10.3390/rs11080956

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