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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ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5000543 2023-05-15T16:27:57+02:00 SLR, GRACE and swarm gravity field determination and combination Meyer, U. Sosnica, K. Arnold, D. Dahle, C. Thaller, D. Dach, R. Jäggi, A. 2019 application/pdf https://gfzpublic.gfz-potsdam.de/pubman/item/item_5000543 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5000543_2/component/file_5000577/5000543.pdf unknown info:eu-repo/semantics/altIdentifier/doi/10.3390/rs11080956 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5000543 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5000543_2/component/file_5000577/5000543.pdf info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ CC-BY Remote Sensing info:eu-repo/semantics/article 2019 ftgfzpotsdam https://doi.org/10.3390/rs11080956 2022-09-14T05:57:19Z 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 GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Greenland Remote Sensing 11 8 956 |
institution |
Open Polar |
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GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
op_collection_id |
ftgfzpotsdam |
language |
unknown |
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, U. Sosnica, K. Arnold, D. Dahle, C. Thaller, D. Dach, R. Jäggi, A. |
spellingShingle |
Meyer, U. Sosnica, K. Arnold, D. Dahle, C. Thaller, D. Dach, R. Jäggi, A. SLR, GRACE and swarm gravity field determination and combination |
author_facet |
Meyer, U. Sosnica, K. Arnold, D. Dahle, C. Thaller, D. Dach, R. Jäggi, A. |
author_sort |
Meyer, U. |
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 |
publishDate |
2019 |
url |
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5000543 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5000543_2/component/file_5000577/5000543.pdf |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_source |
Remote Sensing |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs11080956 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5000543 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5000543_2/component/file_5000577/5000543.pdf |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/rs11080956 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
8 |
container_start_page |
956 |
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1766017561964576768 |