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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Main Authors: Meyer, Ulrich, Sosnica, K., Arnold, Daniel, Dahle, C., Thaller, D., Dach, Rolf, Jäggi, Adrian
Format: Text
Language:English
Published: Molecular Diversity Preservation International MDPI 2019
Subjects:
Online Access:https://dx.doi.org/10.7892/boris.132230
https://boris.unibe.ch/132230/
id ftdatacite:10.7892/boris.132230
record_format openpolar
spelling ftdatacite:10.7892/boris.132230 2023-05-15T16:28:06+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://dx.doi.org/10.7892/boris.132230 https://boris.unibe.ch/132230/ en eng Molecular Diversity Preservation International MDPI info:eu-repo/semantics/openAccess 520 Astronomy Text article-journal ScholarlyArticle 2019 ftdatacite https://doi.org/10.7892/boris.132230 2021-11-05T12:55:41Z 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 DataCite Metadata Store (German National Library of Science and Technology) Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
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 Text
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://dx.doi.org/10.7892/boris.132230
https://boris.unibe.ch/132230/
geographic Greenland
geographic_facet Greenland
genre Greenland
genre_facet Greenland
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.7892/boris.132230
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