On the capability to derive mass estimates from high-low satellite-to-satellite tracking data

Recently it has been shown that it is possible to derive time-variable gravity signals from high-low satellite-to-satellite tracking (hl-SST) missions (Weigelt et al. 2013, JGR:Solid Earth, doi:10.1002/jgrb.50283). Based on the GPS information only, we will present results derived from the dedicated...

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Main Authors: WEIGELT, Matthias, VAN DAM, Tonie, Tourian, M. J., Steffen, H., Baur, O., Jäggi, A., Prange, L., Meyer, U., Bock, H., Mayer-Gürr, T., Zehentner, N., Sneeuw, N.
Format: Conference Object
Language:English
Published: 2013
Subjects:
Online Access:https://orbilu.uni.lu/handle/10993/14205
https://orbilu.uni.lu/bitstream/10993/14205/1/Weigeltetal_HLSSTMassEstimates.pdf
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author WEIGELT, Matthias
VAN DAM, Tonie
Tourian, M. J.
Steffen, H.
Baur, O.
Jäggi, A.
Prange, L.
Meyer, U.
Bock, H.
Mayer-Gürr, T.
Zehentner, N.
Sneeuw, N.
author_facet WEIGELT, Matthias
VAN DAM, Tonie
Tourian, M. J.
Steffen, H.
Baur, O.
Jäggi, A.
Prange, L.
Meyer, U.
Bock, H.
Mayer-Gürr, T.
Zehentner, N.
Sneeuw, N.
author_sort WEIGELT, Matthias
collection University of Luxembourg: ORBilu - Open Repository and Bibliography
description Recently it has been shown that it is possible to derive time-variable gravity signals from high-low satellite-to-satellite tracking (hl-SST) missions (Weigelt et al. 2013, JGR:Solid Earth, doi:10.1002/jgrb.50283). Based on the GPS information only, we will present results derived from the dedicated gravity field missions CHAMP, GRACE and GOCE which allow us to determine mass estimates for various applications. Hydrologically induced mass changes on land cause the strongest mass variations in the gravity field and can be easily identified in the hl-SST data, especially in areas with strong signals such as the Amazon basin. Ice melt in Greenland can be derived from the data and mass estimates compare well to corresponding GRACE estimates. Also, loading time series based on these gravity field solutions agree well with GPS observations for various stations around the globe. We also discuss the limitations of the data, e.g. in detecting signals related to glacial isostatic adjustment or earthquake-induced gravity field changes. Overall, we will demonstrate that the quality of the GPS data is sufficient nowadays and with a proper processing strategy it is possible to derive reasonable mass estimates. As such, this type of observations may allow to bridge a possible gap between GRACE and its successor GRACE Follow-On scheduled for launch in 2017.
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op_rights open access
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spelling ftunivluxembourg:oai:orbilu.uni.lu:10993/14205 2025-05-04T14:26:30+00:00 On the capability to derive mass estimates from high-low satellite-to-satellite tracking data WEIGELT, Matthias VAN DAM, Tonie Tourian, M. J. Steffen, H. Baur, O. Jäggi, A. Prange, L. Meyer, U. Bock, H. Mayer-Gürr, T. Zehentner, N. Sneeuw, N. 2013-12 https://orbilu.uni.lu/handle/10993/14205 https://orbilu.uni.lu/bitstream/10993/14205/1/Weigeltetal_HLSSTMassEstimates.pdf en eng https://orbilu.uni.lu/handle/10993/14205 info:hdl:10993/14205 https://orbilu.uni.lu/bitstream/10993/14205/1/Weigeltetal_HLSSTMassEstimates.pdf open access http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess AGU Fall meeting 2013, San Francisco, United States [US], 09-12-2013 to 13-12-2013 Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique conference poster not in proceedings http://purl.org/coar/resource_type/c_18co info:eu-repo/semantics/conferencePoster 2013 ftunivluxembourg 2025-04-04T03:52:56Z Recently it has been shown that it is possible to derive time-variable gravity signals from high-low satellite-to-satellite tracking (hl-SST) missions (Weigelt et al. 2013, JGR:Solid Earth, doi:10.1002/jgrb.50283). Based on the GPS information only, we will present results derived from the dedicated gravity field missions CHAMP, GRACE and GOCE which allow us to determine mass estimates for various applications. Hydrologically induced mass changes on land cause the strongest mass variations in the gravity field and can be easily identified in the hl-SST data, especially in areas with strong signals such as the Amazon basin. Ice melt in Greenland can be derived from the data and mass estimates compare well to corresponding GRACE estimates. Also, loading time series based on these gravity field solutions agree well with GPS observations for various stations around the globe. We also discuss the limitations of the data, e.g. in detecting signals related to glacial isostatic adjustment or earthquake-induced gravity field changes. Overall, we will demonstrate that the quality of the GPS data is sufficient nowadays and with a proper processing strategy it is possible to derive reasonable mass estimates. As such, this type of observations may allow to bridge a possible gap between GRACE and its successor GRACE Follow-On scheduled for launch in 2017. Conference Object Greenland University of Luxembourg: ORBilu - Open Repository and Bibliography Greenland
spellingShingle Physical
chemical
mathematical & earth Sciences
Earth sciences & physical geography
Physique
chimie
mathématiques & sciences de la terre
Sciences de la terre & géographie physique
WEIGELT, Matthias
VAN DAM, Tonie
Tourian, M. J.
Steffen, H.
Baur, O.
Jäggi, A.
Prange, L.
Meyer, U.
Bock, H.
Mayer-Gürr, T.
Zehentner, N.
Sneeuw, N.
On the capability to derive mass estimates from high-low satellite-to-satellite tracking data
title On the capability to derive mass estimates from high-low satellite-to-satellite tracking data
title_full On the capability to derive mass estimates from high-low satellite-to-satellite tracking data
title_fullStr On the capability to derive mass estimates from high-low satellite-to-satellite tracking data
title_full_unstemmed On the capability to derive mass estimates from high-low satellite-to-satellite tracking data
title_short On the capability to derive mass estimates from high-low satellite-to-satellite tracking data
title_sort on the capability to derive mass estimates from high-low satellite-to-satellite tracking data
topic Physical
chemical
mathematical & earth Sciences
Earth sciences & physical geography
Physique
chimie
mathématiques & sciences de la terre
Sciences de la terre & géographie physique
topic_facet Physical
chemical
mathematical & earth Sciences
Earth sciences & physical geography
Physique
chimie
mathématiques & sciences de la terre
Sciences de la terre & géographie physique
url https://orbilu.uni.lu/handle/10993/14205
https://orbilu.uni.lu/bitstream/10993/14205/1/Weigeltetal_HLSSTMassEstimates.pdf