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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ftunivbern:oai:boris.unibe.ch:132230 2023-08-20T04:06:53+02:00 SLR, GRACE and Swarm Gravity Field Determination and Combination Meyer, Ulrich Sosnica, K. Arnold, Daniel Dahle, C. Thaller, D. Dach, Rolf Jäggi, Adrian 2019 application/pdf https://boris.unibe.ch/132230/2/remotesensing-11-00956-v2.pdf https://boris.unibe.ch/132230/ eng eng Molecular Diversity Preservation International MDPI https://boris.unibe.ch/132230/ info:eu-repo/semantics/openAccess Meyer, Ulrich; Sosnica, K.; Arnold, Daniel; Dahle, C.; Thaller, D.; Dach, Rolf; Jäggi, Adrian (2019). SLR, GRACE and Swarm Gravity Field Determination and Combination. Remote sensing, 11(8), p. 956. Molecular Diversity Preservation International MDPI 10.3390/rs11080956 <http://dx.doi.org/10.3390/rs11080956> 520 Astronomy info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion PeerReviewed 2019 ftunivbern https://doi.org/10.3390/rs11080956 2023-07-31T21:53:12Z 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. Article in Journal/Newspaper Greenland BORIS (Bern Open Repository and Information System, University of Bern) Greenland Remote Sensing 11 8 956 |
institution |
Open Polar |
collection |
BORIS (Bern Open Repository and Information System, University of Bern) |
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ftunivbern |
language |
English |
topic |
520 Astronomy |
spellingShingle |
520 Astronomy Meyer, Ulrich Sosnica, K. Arnold, Daniel Dahle, C. Thaller, D. Dach, Rolf Jäggi, Adrian SLR, GRACE and Swarm Gravity Field Determination and Combination |
topic_facet |
520 Astronomy |
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. |
format |
Article in Journal/Newspaper |
author |
Meyer, Ulrich Sosnica, K. Arnold, Daniel Dahle, C. Thaller, D. Dach, Rolf Jäggi, Adrian |
author_facet |
Meyer, Ulrich Sosnica, K. Arnold, Daniel Dahle, C. Thaller, D. Dach, Rolf Jäggi, Adrian |
author_sort |
Meyer, Ulrich |
title |
SLR, GRACE and Swarm Gravity Field Determination and Combination |
title_short |
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_sort |
slr, grace and swarm gravity field determination and combination |
publisher |
Molecular Diversity Preservation International MDPI |
publishDate |
2019 |
url |
https://boris.unibe.ch/132230/2/remotesensing-11-00956-v2.pdf https://boris.unibe.ch/132230/ |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_source |
Meyer, Ulrich; Sosnica, K.; Arnold, Daniel; Dahle, C.; Thaller, D.; Dach, Rolf; Jäggi, Adrian (2019). SLR, GRACE and Swarm Gravity Field Determination and Combination. Remote sensing, 11(8), p. 956. Molecular Diversity Preservation International MDPI 10.3390/rs11080956 <http://dx.doi.org/10.3390/rs11080956> |
op_relation |
https://boris.unibe.ch/132230/ |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/rs11080956 |
container_title |
Remote Sensing |
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11 |
container_issue |
8 |
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956 |
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