On the Improvement of Mass Load Inversion With GNSS Horizontal Deformation: A Synthetic Study in Central China
We carry out synthetic experiments of mass load inversion using Global Navigation Satellite System (GNSS) vertical and horizontal displacements in Central China. Using two synthetic mass load models from a checkerboard mass distribution and a more realistic distribution derived from the Gravity Reco...
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description | We carry out synthetic experiments of mass load inversion using Global Navigation Satellite System (GNSS) vertical and horizontal displacements in Central China. Using two synthetic mass load models from a checkerboard mass distribution and a more realistic distribution derived from the Gravity Recovery and Climate Experiment (GRACE) observations, the inverted mass changes are determined based on the load theory and then compared with the known mass‐change inputs. We find that the combination of horizontal displacements with the commonly used vertical displacements significantly improves the inversion results when the number of sites is larger than one third of the number of total grids with relatively uniform distribution over the region. Synthetic tests demonstrate that data from the Crustal Movement Observation Network of China, including the total number of GNSS sites, spatial distribution, and precision, are sufficient to infer the annual amplitudes of mass changes in the region with comparable spatial resolution as that of GRACE observations. For the current precision level of the GNSS surface displacements (3.0 mm in the vertical and 1.0 mm in the horizontal components), including horizontal displacements leads to ∼10% improvement in mass inversion, compared to using vertical displacements only. With a higher precision level of 0.50 and 0.17 mm (for vertical and horizontal components, respectively), an improvement of ∼20% can be achieved.
Plain Language Summary
The Earth's surface deforms due to the pressure variations (mass load changes) from above, such as atmosphere, ocean and land water, and this deformation can be measured by the Global Navigation Satellite System (GNSS) technique. Based on a series of formulae (called mass load theory), which describe the relationship between the Earth's surface deformation and mass load, the mass load changes can be inferred by the surface deformation from GNSS measurements. The GNSS‐observed surface displacements in the vertical direction are widely used to estimate the mass changes, because of the larger signal amplitude compared to that in the horizontal directions. In order to analyze the potential contribution of horizontal deformation to the mass inversion, we do simulative tests using modeled mass changes and surface deformation, and find that the improvement by including the horizontal deformation can reach ∼10% under the current precision of GNSS measurements over the region of Central China. Through |
doi_str_mv | 10.1029/2021JB023696 |
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Plain Language Summary
The Earth's surface deforms due to the pressure variations (mass load changes) from above, such as atmosphere, ocean and land water, and this deformation can be measured by the Global Navigation Satellite System (GNSS) technique. Based on a series of formulae (called mass load theory), which describe the relationship between the Earth's surface deformation and mass load, the mass load changes can be inferred by the surface deformation from GNSS measurements. The GNSS‐observed surface displacements in the vertical direction are widely used to estimate the mass changes, because of the larger signal amplitude compared to that in the horizontal directions. In order to analyze the potential contribution of horizontal deformation to the mass inversion, we do simulative tests using modeled mass changes and surface deformation, and find that the improvement by including the horizontal deformation can reach ∼10% under the current precision of GNSS measurements over the region of Central China. Through simulative study we further find that with increased precision of GNSS technique in the future, the use of horizontal deformation can further improve the inversion of the mass load changes.
Key Points
Including the horizontal deformation improves the mass load inversion compared to using the vertical deformation only
A higher precision of Global Navigation Satellite System (GNSS) corresponds to a larger improvement of the mass load inversion when including the horizontal deformation
For the current GNSS precision, the inversion improvement by including the horizontal deformation is ∼10% over the region of Central China</description><identifier>ISSN: 2169-9313</identifier><identifier>EISSN: 2169-9356</identifier><identifier>DOI: 10.1029/2021JB023696</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Amplitudes ; Atmospheric models ; Components ; Crustal movement ; Deformation ; Displacement ; Distribution ; Earth surface ; Geophysics ; Global navigation satellite system ; GNSS ; GRACE ; GRACE (experiment) ; Gravity ; horizontal displacements ; load deformation ; Load distribution ; Mass ; Mass distribution ; mass load inversion ; Navigation ; Navigation satellites ; Navigation systems ; Navigational satellites ; Pressure variations ; Satellite observation ; Spatial discrimination ; Spatial distribution ; Spatial resolution</subject><ispartof>Journal of geophysical research. Solid earth, 2022-10, Vol.127 (10), p.n/a</ispartof><rights>2022. The Authors.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3689-bf28f7a69ff9b262b0dbf3ab826c3c605abe261d4b8bff4d858510488248bc703</citedby><cites>FETCH-LOGICAL-a3689-bf28f7a69ff9b262b0dbf3ab826c3c605abe261d4b8bff4d858510488248bc703</cites><orcidid>0000-0001-9305-8006 ; 0000-0001-5405-8441 ; 0000-0002-6927-0549</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2021JB023696$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2021JB023696$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,1427,27903,27904,45553,45554,46387,46811</link.rule.ids></links><search><creatorcontrib>Wang, Song‐Yun</creatorcontrib><creatorcontrib>Li, Jin</creatorcontrib><creatorcontrib>Chen, Jianli</creatorcontrib><creatorcontrib>Hu, Xiao‐Gong</creatorcontrib><title>On the Improvement of Mass Load Inversion With GNSS Horizontal Deformation: A Synthetic Study in Central China</title><title>Journal of geophysical research. Solid earth</title><description>We carry out synthetic experiments of mass load inversion using Global Navigation Satellite System (GNSS) vertical and horizontal displacements in Central China. Using two synthetic mass load models from a checkerboard mass distribution and a more realistic distribution derived from the Gravity Recovery and Climate Experiment (GRACE) observations, the inverted mass changes are determined based on the load theory and then compared with the known mass‐change inputs. We find that the combination of horizontal displacements with the commonly used vertical displacements significantly improves the inversion results when the number of sites is larger than one third of the number of total grids with relatively uniform distribution over the region. Synthetic tests demonstrate that data from the Crustal Movement Observation Network of China, including the total number of GNSS sites, spatial distribution, and precision, are sufficient to infer the annual amplitudes of mass changes in the region with comparable spatial resolution as that of GRACE observations. For the current precision level of the GNSS surface displacements (3.0 mm in the vertical and 1.0 mm in the horizontal components), including horizontal displacements leads to ∼10% improvement in mass inversion, compared to using vertical displacements only. With a higher precision level of 0.50 and 0.17 mm (for vertical and horizontal components, respectively), an improvement of ∼20% can be achieved.
Plain Language Summary
The Earth's surface deforms due to the pressure variations (mass load changes) from above, such as atmosphere, ocean and land water, and this deformation can be measured by the Global Navigation Satellite System (GNSS) technique. Based on a series of formulae (called mass load theory), which describe the relationship between the Earth's surface deformation and mass load, the mass load changes can be inferred by the surface deformation from GNSS measurements. The GNSS‐observed surface displacements in the vertical direction are widely used to estimate the mass changes, because of the larger signal amplitude compared to that in the horizontal directions. In order to analyze the potential contribution of horizontal deformation to the mass inversion, we do simulative tests using modeled mass changes and surface deformation, and find that the improvement by including the horizontal deformation can reach ∼10% under the current precision of GNSS measurements over the region of Central China. Through simulative study we further find that with increased precision of GNSS technique in the future, the use of horizontal deformation can further improve the inversion of the mass load changes.
Key Points
Including the horizontal deformation improves the mass load inversion compared to using the vertical deformation only
A higher precision of Global Navigation Satellite System (GNSS) corresponds to a larger improvement of the mass load inversion when including the horizontal deformation
For the current GNSS precision, the inversion improvement by including the horizontal deformation is ∼10% over the region of Central China</description><subject>Amplitudes</subject><subject>Atmospheric models</subject><subject>Components</subject><subject>Crustal movement</subject><subject>Deformation</subject><subject>Displacement</subject><subject>Distribution</subject><subject>Earth surface</subject><subject>Geophysics</subject><subject>Global navigation satellite system</subject><subject>GNSS</subject><subject>GRACE</subject><subject>GRACE (experiment)</subject><subject>Gravity</subject><subject>horizontal displacements</subject><subject>load deformation</subject><subject>Load distribution</subject><subject>Mass</subject><subject>Mass distribution</subject><subject>mass load inversion</subject><subject>Navigation</subject><subject>Navigation satellites</subject><subject>Navigation systems</subject><subject>Navigational satellites</subject><subject>Pressure variations</subject><subject>Satellite observation</subject><subject>Spatial discrimination</subject><subject>Spatial distribution</subject><subject>Spatial resolution</subject><issn>2169-9313</issn><issn>2169-9356</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp9kF1LwzAUhosoOHR3_oCAt1bz0aapd1vVfTAdWMXLkrQJy1iTmXST-uuNTMQrz805HB6ew3mj6ALBawRxfoMhRvMxxITm9CgaYETzOCcpPf6dETmNht6vYSgWVigZRGZpQLeSYNZund3LVpoOWAUeufdgYXkDZmYvndfWgDfdrcDkqSzB1Dr9aU3HN-BOKuta3gXgFoxA2Ztg63QNym7X9EAbUASlC2Sx0oafRyeKb7wc_vSz6PXh_qWYxovlZFaMFjEnlOWxUJipjNNcqVxgigVshCJcMExrUlOYciExRU0imFAqaVjKUgQTxnDCRJ1BchZdHrzhq_ed9F21tjtnwskKZ5gljKKUBerqQNXOeu-kqrZOt9z1FYLVd6jV31ADTg74h97I_l-2mk-ex2nKspx8Afcrd3w</recordid><startdate>202210</startdate><enddate>202210</enddate><creator>Wang, Song‐Yun</creator><creator>Li, Jin</creator><creator>Chen, Jianli</creator><creator>Hu, Xiao‐Gong</creator><general>Blackwell Publishing Ltd</general><scope>24P</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-9305-8006</orcidid><orcidid>https://orcid.org/0000-0001-5405-8441</orcidid><orcidid>https://orcid.org/0000-0002-6927-0549</orcidid></search><sort><creationdate>202210</creationdate><title>On the Improvement of Mass Load Inversion With GNSS Horizontal Deformation: A Synthetic Study in Central China</title><author>Wang, Song‐Yun ; Li, Jin ; Chen, Jianli ; Hu, Xiao‐Gong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3689-bf28f7a69ff9b262b0dbf3ab826c3c605abe261d4b8bff4d858510488248bc703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Amplitudes</topic><topic>Atmospheric models</topic><topic>Components</topic><topic>Crustal movement</topic><topic>Deformation</topic><topic>Displacement</topic><topic>Distribution</topic><topic>Earth surface</topic><topic>Geophysics</topic><topic>Global navigation satellite system</topic><topic>GNSS</topic><topic>GRACE</topic><topic>GRACE (experiment)</topic><topic>Gravity</topic><topic>horizontal displacements</topic><topic>load deformation</topic><topic>Load distribution</topic><topic>Mass</topic><topic>Mass distribution</topic><topic>mass load inversion</topic><topic>Navigation</topic><topic>Navigation satellites</topic><topic>Navigation systems</topic><topic>Navigational satellites</topic><topic>Pressure variations</topic><topic>Satellite observation</topic><topic>Spatial discrimination</topic><topic>Spatial distribution</topic><topic>Spatial resolution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Song‐Yun</creatorcontrib><creatorcontrib>Li, Jin</creatorcontrib><creatorcontrib>Chen, Jianli</creatorcontrib><creatorcontrib>Hu, Xiao‐Gong</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Journal of geophysical research. Solid earth</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Song‐Yun</au><au>Li, Jin</au><au>Chen, Jianli</au><au>Hu, Xiao‐Gong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On the Improvement of Mass Load Inversion With GNSS Horizontal Deformation: A Synthetic Study in Central China</atitle><jtitle>Journal of geophysical research. Solid earth</jtitle><date>2022-10</date><risdate>2022</risdate><volume>127</volume><issue>10</issue><epage>n/a</epage><issn>2169-9313</issn><eissn>2169-9356</eissn><abstract>We carry out synthetic experiments of mass load inversion using Global Navigation Satellite System (GNSS) vertical and horizontal displacements in Central China. Using two synthetic mass load models from a checkerboard mass distribution and a more realistic distribution derived from the Gravity Recovery and Climate Experiment (GRACE) observations, the inverted mass changes are determined based on the load theory and then compared with the known mass‐change inputs. We find that the combination of horizontal displacements with the commonly used vertical displacements significantly improves the inversion results when the number of sites is larger than one third of the number of total grids with relatively uniform distribution over the region. Synthetic tests demonstrate that data from the Crustal Movement Observation Network of China, including the total number of GNSS sites, spatial distribution, and precision, are sufficient to infer the annual amplitudes of mass changes in the region with comparable spatial resolution as that of GRACE observations. For the current precision level of the GNSS surface displacements (3.0 mm in the vertical and 1.0 mm in the horizontal components), including horizontal displacements leads to ∼10% improvement in mass inversion, compared to using vertical displacements only. With a higher precision level of 0.50 and 0.17 mm (for vertical and horizontal components, respectively), an improvement of ∼20% can be achieved.
Plain Language Summary
The Earth's surface deforms due to the pressure variations (mass load changes) from above, such as atmosphere, ocean and land water, and this deformation can be measured by the Global Navigation Satellite System (GNSS) technique. Based on a series of formulae (called mass load theory), which describe the relationship between the Earth's surface deformation and mass load, the mass load changes can be inferred by the surface deformation from GNSS measurements. The GNSS‐observed surface displacements in the vertical direction are widely used to estimate the mass changes, because of the larger signal amplitude compared to that in the horizontal directions. In order to analyze the potential contribution of horizontal deformation to the mass inversion, we do simulative tests using modeled mass changes and surface deformation, and find that the improvement by including the horizontal deformation can reach ∼10% under the current precision of GNSS measurements over the region of Central China. Through simulative study we further find that with increased precision of GNSS technique in the future, the use of horizontal deformation can further improve the inversion of the mass load changes.
Key Points
Including the horizontal deformation improves the mass load inversion compared to using the vertical deformation only
A higher precision of Global Navigation Satellite System (GNSS) corresponds to a larger improvement of the mass load inversion when including the horizontal deformation
For the current GNSS precision, the inversion improvement by including the horizontal deformation is ∼10% over the region of Central China</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2021JB023696</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0001-9305-8006</orcidid><orcidid>https://orcid.org/0000-0001-5405-8441</orcidid><orcidid>https://orcid.org/0000-0002-6927-0549</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Amplitudes Atmospheric models Components Crustal movement Deformation Displacement Distribution Earth surface Geophysics Global navigation satellite system GNSS GRACE GRACE (experiment) Gravity horizontal displacements load deformation Load distribution Mass Mass distribution mass load inversion Navigation Navigation satellites Navigation systems Navigational satellites Pressure variations Satellite observation Spatial discrimination Spatial distribution Spatial resolution |
title | On the Improvement of Mass Load Inversion With GNSS Horizontal Deformation: A Synthetic Study in Central China |
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