Technical note time-variable gravity field from the combination of hlsst and slr

The Earth’s time-variable gravity field is of great significance to study mass change within the Earth’s system. Since 2002, the NASA-DLR Gravity Recovery and Climate Experiment (GRACE) and its successor GRACE follow-on mission provide observations of monthly changes in the Earth gravity field with...

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Main Authors: Zhong, Luping, Sośnica, Krzysztof, Weigelt, Matthias, Liu, Bingshi, Zou, Xiancai
Format: Article in Journal/Newspaper
Language:English
Published: Basel : MDPI AG 2021
Subjects:
Online Access:https://www.repo.uni-hannover.de/handle/123456789/12534
https://doi.org/10.15488/12435
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author Zhong, Luping
Sośnica, Krzysztof
Weigelt, Matthias
Liu, Bingshi
Zou, Xiancai
author_facet Zhong, Luping
Sośnica, Krzysztof
Weigelt, Matthias
Liu, Bingshi
Zou, Xiancai
author_sort Zhong, Luping
collection Institutional Repository of Leibniz Universität Hannover
description The Earth’s time-variable gravity field is of great significance to study mass change within the Earth’s system. Since 2002, the NASA-DLR Gravity Recovery and Climate Experiment (GRACE) and its successor GRACE follow-on mission provide observations of monthly changes in the Earth gravity field with unprecedented accuracy and resolution by employing low-low satellite-to-satellite tracking (LLSST) measurements. In addition to LLSST, monthly gravity field models can be acquired from satellite laser ranging (SLR) and high-low satellite-to-satellite tracking (HLSST). The monthly gravity field solutions HLSST+SLR were derived by combining HLSST observations of low earth orbiting (LEO) satellites with SLR observations of geodetic satellites. Bandpass filtering was applied to the harmonic coefficients of HLSST+SLR solutions to reduce noise. In this study, we analyzed the performance of the monthly HLSST+SLR solutions in the spectral and spatial domains. The results show that: (1) the accuracies of HLSST+SLR solutions are comparable to those from GRACE for coefficients below degree 10, and significantly improved compared to those of SLR-only and HLSST-only solutions; (2) the effective spatial resolution could reach 1000 km, corresponding to the spherical harmonic coefficient degree 20, which is higher than that of the HLSST-only solutions. Compared with the GRACE solutions, the global mass redistribution features and magnitudes can be well identified from HLSST+SLR solutions at the spatial resolution of 1000 km, although with much noise. In the applications of regional mass recovery, the seasonal variations over the Amazon Basin and the long-term trend over Greenland derived from HLSST+SLR solutions truncated to degree 20 agree well with those from GRACE solutions without truncation, and the RMS of mass variations is 282 Gt over the Amazon Basin and 192 Gt in Greenland. We conclude that HLSST+SLR can be an alternative option to estimate temporal changes in the Earth gravity field, although with far less spatial ...
format Article in Journal/Newspaper
genre Greenland
genre_facet Greenland
geographic Greenland
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id ftunivhannover:oai:www.repo.uni-hannover.de:123456789/12534
institution Open Polar
language English
op_collection_id ftunivhannover
op_doi https://doi.org/10.15488/1243510.3390/rs13173491
op_relation DOI:https://doi.org/10.3390/rs13173491
ESSN:2072-4292
http://dx.doi.org/10.15488/12435
https://www.repo.uni-hannover.de/handle/123456789/12534
op_rights CC BY 4.0 Unported
https://creativecommons.org/licenses/by/4.0/
frei zugänglich
op_source Remote Sensing 13 (2021), Nr. 17
Remote Sensing
publishDate 2021
publisher Basel : MDPI AG
record_format openpolar
spelling ftunivhannover:oai:www.repo.uni-hannover.de:123456789/12534 2025-01-16T22:12:10+00:00 Technical note time-variable gravity field from the combination of hlsst and slr Zhong, Luping Sośnica, Krzysztof Weigelt, Matthias Liu, Bingshi Zou, Xiancai 2021 https://www.repo.uni-hannover.de/handle/123456789/12534 https://doi.org/10.15488/12435 eng eng Basel : MDPI AG DOI:https://doi.org/10.3390/rs13173491 ESSN:2072-4292 http://dx.doi.org/10.15488/12435 https://www.repo.uni-hannover.de/handle/123456789/12534 CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/ frei zugänglich Remote Sensing 13 (2021), Nr. 17 Remote Sensing HLSST Satellite gravimetry SLR Time-variable gravity Earth (planet) Filtration Gravitation Image resolution NASA Orbits Tracking (position) Gravity field solution Gravity recovery and climate experiments Harmonic coefficients Low earth orbiting satellites Satellite laser ranging Satellite-to-Satellite tracking Spherical harmonic coefficient Geodetic satellites ddc:620 status-type:publishedVersion doc-type:Article doc-type:Text 2021 ftunivhannover https://doi.org/10.15488/1243510.3390/rs13173491 2023-06-28T10:39:12Z The Earth’s time-variable gravity field is of great significance to study mass change within the Earth’s system. Since 2002, the NASA-DLR Gravity Recovery and Climate Experiment (GRACE) and its successor GRACE follow-on mission provide observations of monthly changes in the Earth gravity field with unprecedented accuracy and resolution by employing low-low satellite-to-satellite tracking (LLSST) measurements. In addition to LLSST, monthly gravity field models can be acquired from satellite laser ranging (SLR) and high-low satellite-to-satellite tracking (HLSST). The monthly gravity field solutions HLSST+SLR were derived by combining HLSST observations of low earth orbiting (LEO) satellites with SLR observations of geodetic satellites. Bandpass filtering was applied to the harmonic coefficients of HLSST+SLR solutions to reduce noise. In this study, we analyzed the performance of the monthly HLSST+SLR solutions in the spectral and spatial domains. The results show that: (1) the accuracies of HLSST+SLR solutions are comparable to those from GRACE for coefficients below degree 10, and significantly improved compared to those of SLR-only and HLSST-only solutions; (2) the effective spatial resolution could reach 1000 km, corresponding to the spherical harmonic coefficient degree 20, which is higher than that of the HLSST-only solutions. Compared with the GRACE solutions, the global mass redistribution features and magnitudes can be well identified from HLSST+SLR solutions at the spatial resolution of 1000 km, although with much noise. In the applications of regional mass recovery, the seasonal variations over the Amazon Basin and the long-term trend over Greenland derived from HLSST+SLR solutions truncated to degree 20 agree well with those from GRACE solutions without truncation, and the RMS of mass variations is 282 Gt over the Amazon Basin and 192 Gt in Greenland. We conclude that HLSST+SLR can be an alternative option to estimate temporal changes in the Earth gravity field, although with far less spatial ... Article in Journal/Newspaper Greenland Institutional Repository of Leibniz Universität Hannover Greenland
spellingShingle HLSST
Satellite gravimetry
SLR
Time-variable gravity
Earth (planet)
Filtration
Gravitation
Image resolution
NASA
Orbits
Tracking (position)
Gravity field solution
Gravity recovery and climate experiments
Harmonic coefficients
Low earth orbiting satellites
Satellite laser ranging
Satellite-to-Satellite tracking
Spherical harmonic coefficient
Geodetic satellites
ddc:620
Zhong, Luping
Sośnica, Krzysztof
Weigelt, Matthias
Liu, Bingshi
Zou, Xiancai
Technical note time-variable gravity field from the combination of hlsst and slr
title Technical note time-variable gravity field from the combination of hlsst and slr
title_full Technical note time-variable gravity field from the combination of hlsst and slr
title_fullStr Technical note time-variable gravity field from the combination of hlsst and slr
title_full_unstemmed Technical note time-variable gravity field from the combination of hlsst and slr
title_short Technical note time-variable gravity field from the combination of hlsst and slr
title_sort technical note time-variable gravity field from the combination of hlsst and slr
topic HLSST
Satellite gravimetry
SLR
Time-variable gravity
Earth (planet)
Filtration
Gravitation
Image resolution
NASA
Orbits
Tracking (position)
Gravity field solution
Gravity recovery and climate experiments
Harmonic coefficients
Low earth orbiting satellites
Satellite laser ranging
Satellite-to-Satellite tracking
Spherical harmonic coefficient
Geodetic satellites
ddc:620
topic_facet HLSST
Satellite gravimetry
SLR
Time-variable gravity
Earth (planet)
Filtration
Gravitation
Image resolution
NASA
Orbits
Tracking (position)
Gravity field solution
Gravity recovery and climate experiments
Harmonic coefficients
Low earth orbiting satellites
Satellite laser ranging
Satellite-to-Satellite tracking
Spherical harmonic coefficient
Geodetic satellites
ddc:620
url https://www.repo.uni-hannover.de/handle/123456789/12534
https://doi.org/10.15488/12435