SLR, GRACE and Swarm Gravity Field Determination and Combination

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,...

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Published in:Remote Sensing
Main Authors: Ulrich Meyer, Krzysztof Sosnica, Daniel Arnold, Christoph Dahle, Daniela Thaller, Rolf Dach, Adrian Jäggi
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2019
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Online Access:https://doi.org/10.3390/rs11080956
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author Ulrich Meyer
Krzysztof Sosnica
Daniel Arnold
Christoph Dahle
Daniela Thaller
Rolf Dach
Adrian Jäggi
author_facet Ulrich Meyer
Krzysztof Sosnica
Daniel Arnold
Christoph Dahle
Daniela Thaller
Rolf Dach
Adrian Jäggi
author_sort Ulrich Meyer
collection MDPI Open Access Publishing
container_issue 8
container_start_page 956
container_title Remote Sensing
container_volume 11
description 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.
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op_doi https://doi.org/10.3390/rs11080956
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spelling ftmdpi:oai:mdpi.com:/2072-4292/11/8/956/ 2025-01-16T22:10:51+00:00 SLR, GRACE and Swarm Gravity Field Determination and Combination Ulrich Meyer Krzysztof Sosnica Daniel Arnold Christoph Dahle Daniela Thaller Rolf Dach Adrian Jäggi agris 2019-04-22 application/pdf https://doi.org/10.3390/rs11080956 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs11080956 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 8; Pages: 956 satellite gravimetry ice mass change GRACE SLR swarm normal equation combination Text 2019 ftmdpi https://doi.org/10.3390/rs11080956 2023-07-31T22:12:56Z 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. Text Greenland MDPI Open Access Publishing Greenland Remote Sensing 11 8 956
spellingShingle satellite gravimetry
ice mass change
GRACE
SLR
swarm
normal equation combination
Ulrich Meyer
Krzysztof Sosnica
Daniel Arnold
Christoph Dahle
Daniela Thaller
Rolf Dach
Adrian Jäggi
SLR, GRACE and Swarm Gravity Field Determination and Combination
title SLR, GRACE and Swarm Gravity Field Determination and Combination
title_full SLR, GRACE and Swarm Gravity Field Determination and Combination
title_fullStr SLR, GRACE and Swarm Gravity Field Determination and Combination
title_full_unstemmed SLR, GRACE and Swarm Gravity Field Determination and Combination
title_short SLR, GRACE and Swarm Gravity Field Determination and Combination
title_sort slr, grace and swarm gravity field determination and combination
topic satellite gravimetry
ice mass change
GRACE
SLR
swarm
normal equation combination
topic_facet satellite gravimetry
ice mass change
GRACE
SLR
swarm
normal equation combination
url https://doi.org/10.3390/rs11080956