Introducing an Improved GRACE Global Point-Mass Solution—A Case Study in Antarctica

In the so-called point-mass modeling, surface densities are represented by point masses, providing only an approximated solution of the surface integral for the gravitational potential. Here, we propose a refinement for the point-mass modeling based on Taylor series expansion in which the zeroth-ord...

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Main Authors: Ferreira, Vagner G., Yong, Bin, Seitz, Kurt, Heck, Bernhard, Grombein, Thomas
Format: Text
Language:English
Published: MDPI 2020
Subjects:
Online Access:https://dx.doi.org/10.5445/ir/1000129597
https://publikationen.bibliothek.kit.edu/1000129597
id ftdatacite:10.5445/ir/1000129597
record_format openpolar
spelling ftdatacite:10.5445/ir/1000129597 2023-05-15T13:54:59+02:00 Introducing an Improved GRACE Global Point-Mass Solution—A Case Study in Antarctica Ferreira, Vagner G. Yong, Bin Seitz, Kurt Heck, Bernhard Grombein, Thomas 2020 PDF https://dx.doi.org/10.5445/ir/1000129597 https://publikationen.bibliothek.kit.edu/1000129597 en eng MDPI Creative Commons Namensnennung 4.0 International Open Access info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/deed.de CC-BY GRACE mascon mass loss point-mass modeling regional inversion Text article-journal Journal Article ScholarlyArticle 2020 ftdatacite https://doi.org/10.5445/ir/1000129597 2021-11-05T12:55:41Z In the so-called point-mass modeling, surface densities are represented by point masses, providing only an approximated solution of the surface integral for the gravitational potential. Here, we propose a refinement for the point-mass modeling based on Taylor series expansion in which the zeroth-order approximation is equivalent to the point-mass solution. Simulations show that adding higher-order terms neglected in the point-mass modeling reduces the error of inverted mass changes of up to 90% on global and Antarctica scales. The method provides an alternative to the processing of the Level-2 data from the Gravity Recovery and Climate Experiment (GRACE) mission. While the evaluation of the surface densities based on improved point-mass modeling using ITSG-Grace2018 Level-2 data as observations reveals noise level of approximately 5.77 mm, this figure is 5.02, 6.05, and 5.81 mm for Center for Space Research (CSR), Goddard Space Flight Center (GSFC), and Jet Propulsion Laboratory (JPL) mascon solutions, respectively. Statistical tests demonstrate that the four solutions are not significant different (95% confidence) over Antarctica Ice Sheet (AIS), despite the slight differences seen in the noises. Therefore, the estimated noise level for the four solutions indicates the quality of GRACE mass changes over AIS. Overall, AIS shows a mass loss of −7.58 mm/year during 2003–2015 based on the improved point-mass solution, which agrees with the values derived from mascon solutions. Text Antarc* Antarctica Ice Sheet DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic GRACE
mascon
mass loss
point-mass modeling
regional inversion
spellingShingle GRACE
mascon
mass loss
point-mass modeling
regional inversion
Ferreira, Vagner G.
Yong, Bin
Seitz, Kurt
Heck, Bernhard
Grombein, Thomas
Introducing an Improved GRACE Global Point-Mass Solution—A Case Study in Antarctica
topic_facet GRACE
mascon
mass loss
point-mass modeling
regional inversion
description In the so-called point-mass modeling, surface densities are represented by point masses, providing only an approximated solution of the surface integral for the gravitational potential. Here, we propose a refinement for the point-mass modeling based on Taylor series expansion in which the zeroth-order approximation is equivalent to the point-mass solution. Simulations show that adding higher-order terms neglected in the point-mass modeling reduces the error of inverted mass changes of up to 90% on global and Antarctica scales. The method provides an alternative to the processing of the Level-2 data from the Gravity Recovery and Climate Experiment (GRACE) mission. While the evaluation of the surface densities based on improved point-mass modeling using ITSG-Grace2018 Level-2 data as observations reveals noise level of approximately 5.77 mm, this figure is 5.02, 6.05, and 5.81 mm for Center for Space Research (CSR), Goddard Space Flight Center (GSFC), and Jet Propulsion Laboratory (JPL) mascon solutions, respectively. Statistical tests demonstrate that the four solutions are not significant different (95% confidence) over Antarctica Ice Sheet (AIS), despite the slight differences seen in the noises. Therefore, the estimated noise level for the four solutions indicates the quality of GRACE mass changes over AIS. Overall, AIS shows a mass loss of −7.58 mm/year during 2003–2015 based on the improved point-mass solution, which agrees with the values derived from mascon solutions.
format Text
author Ferreira, Vagner G.
Yong, Bin
Seitz, Kurt
Heck, Bernhard
Grombein, Thomas
author_facet Ferreira, Vagner G.
Yong, Bin
Seitz, Kurt
Heck, Bernhard
Grombein, Thomas
author_sort Ferreira, Vagner G.
title Introducing an Improved GRACE Global Point-Mass Solution—A Case Study in Antarctica
title_short Introducing an Improved GRACE Global Point-Mass Solution—A Case Study in Antarctica
title_full Introducing an Improved GRACE Global Point-Mass Solution—A Case Study in Antarctica
title_fullStr Introducing an Improved GRACE Global Point-Mass Solution—A Case Study in Antarctica
title_full_unstemmed Introducing an Improved GRACE Global Point-Mass Solution—A Case Study in Antarctica
title_sort introducing an improved grace global point-mass solution—a case study in antarctica
publisher MDPI
publishDate 2020
url https://dx.doi.org/10.5445/ir/1000129597
https://publikationen.bibliothek.kit.edu/1000129597
genre Antarc*
Antarctica
Ice Sheet
genre_facet Antarc*
Antarctica
Ice Sheet
op_rights Creative Commons Namensnennung 4.0 International
Open Access
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/deed.de
op_rightsnorm CC-BY
op_doi https://doi.org/10.5445/ir/1000129597
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