Improving the Accuracy of Seafloor Topography Inversion Based on a Variable Density and Topography Constraint Combined Modification Method

The use of satellite altimetry to recover marine gravity anomalies allows for the rapid acquisition of seafloor topography on a wide range of regional scales. Currently, the commonly used approaches for inverting seafloor topography have been focused on the linear correlation between gravity anomali...

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Main Authors: Yongjin Sun, Wei Zheng, Zhaowei Li, Zhiquan Zhou, Xiaocong Zhou
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/11/4/853
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author Yongjin Sun
Wei Zheng
Zhaowei Li
Zhiquan Zhou
Xiaocong Zhou
author_facet Yongjin Sun
Wei Zheng
Zhaowei Li
Zhiquan Zhou
Xiaocong Zhou
author_sort Yongjin Sun
collection DOAJ
description The use of satellite altimetry to recover marine gravity anomalies allows for the rapid acquisition of seafloor topography on a wide range of regional scales. Currently, the commonly used approaches for inverting seafloor topography have been focused on the linear correlation between gravity anomalies and seafloor topography and have disregarded the effect of density contrast between the crust and seawater on depth. Therefore, we proposed a variable density and topography constraint combined modification (VDTCCM) method by deriving Parker’s formula and the Bouguer plate formula by introducing variable density and topography factors. This method can effectively recover topography-related nonlinear terms of gravity anomalies. Subsequently, the seafloor topography of the South China Sea was estimated by applying the VDTCCM method and was defined as Seafloor topography one (ST1), and following, the accuracy was evaluated using shipborne sounding data (SSD). The results indicate that the ST1 model’s SSD-checked accuracy is 23.34% and 39.42% higher than the common international models of ETOPO1 and DTU10, respectively. Moreover, the ST1 model has advantages in mapping rugged areas, showing more detailed topographical features. Consequently, the VDTCCM method can provide beneficial references for the construction of seafloor topography models on a large regional scale using gravity anomalies recovered from satellite altimetry.
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spelling doaj.art-45a119a71aba490f8ef9172429150a6e2023-11-17T19:56:58ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-04-0111485310.3390/jmse11040853Improving the Accuracy of Seafloor Topography Inversion Based on a Variable Density and Topography Constraint Combined Modification MethodYongjin Sun0Wei Zheng1Zhaowei Li2Zhiquan Zhou3Xiaocong Zhou4China Academy of Aerospace Science and Innovation, China Aerospace Science and Technology Corporation, Beijing 100176, ChinaChina Academy of Aerospace Science and Innovation, China Aerospace Science and Technology Corporation, Beijing 100176, ChinaQian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, ChinaSchool of Information Science and Engineering, Harbin Institute of Technology, Weihai 264209, ChinaSchool of Automation, Nanjing University of Science and Technology, Nanjing 210094, ChinaThe use of satellite altimetry to recover marine gravity anomalies allows for the rapid acquisition of seafloor topography on a wide range of regional scales. Currently, the commonly used approaches for inverting seafloor topography have been focused on the linear correlation between gravity anomalies and seafloor topography and have disregarded the effect of density contrast between the crust and seawater on depth. Therefore, we proposed a variable density and topography constraint combined modification (VDTCCM) method by deriving Parker’s formula and the Bouguer plate formula by introducing variable density and topography factors. This method can effectively recover topography-related nonlinear terms of gravity anomalies. Subsequently, the seafloor topography of the South China Sea was estimated by applying the VDTCCM method and was defined as Seafloor topography one (ST1), and following, the accuracy was evaluated using shipborne sounding data (SSD). The results indicate that the ST1 model’s SSD-checked accuracy is 23.34% and 39.42% higher than the common international models of ETOPO1 and DTU10, respectively. Moreover, the ST1 model has advantages in mapping rugged areas, showing more detailed topographical features. Consequently, the VDTCCM method can provide beneficial references for the construction of seafloor topography models on a large regional scale using gravity anomalies recovered from satellite altimetry.https://www.mdpi.com/2077-1312/11/4/853VDTCCMseafloor topography inversionsatellite altimetrymarine gravity anomalySouth China Sea
spellingShingle Yongjin Sun
Wei Zheng
Zhaowei Li
Zhiquan Zhou
Xiaocong Zhou
Improving the Accuracy of Seafloor Topography Inversion Based on a Variable Density and Topography Constraint Combined Modification Method
Journal of Marine Science and Engineering
VDTCCM
seafloor topography inversion
satellite altimetry
marine gravity anomaly
South China Sea
title Improving the Accuracy of Seafloor Topography Inversion Based on a Variable Density and Topography Constraint Combined Modification Method
title_full Improving the Accuracy of Seafloor Topography Inversion Based on a Variable Density and Topography Constraint Combined Modification Method
title_fullStr Improving the Accuracy of Seafloor Topography Inversion Based on a Variable Density and Topography Constraint Combined Modification Method
title_full_unstemmed Improving the Accuracy of Seafloor Topography Inversion Based on a Variable Density and Topography Constraint Combined Modification Method
title_short Improving the Accuracy of Seafloor Topography Inversion Based on a Variable Density and Topography Constraint Combined Modification Method
title_sort improving the accuracy of seafloor topography inversion based on a variable density and topography constraint combined modification method
topic VDTCCM
seafloor topography inversion
satellite altimetry
marine gravity anomaly
South China Sea
url https://www.mdpi.com/2077-1312/11/4/853
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AT zhaoweili improvingtheaccuracyofseafloortopographyinversionbasedonavariabledensityandtopographyconstraintcombinedmodificationmethod
AT zhiquanzhou improvingtheaccuracyofseafloortopographyinversionbasedonavariabledensityandtopographyconstraintcombinedmodificationmethod
AT xiaocongzhou improvingtheaccuracyofseafloortopographyinversionbasedonavariabledensityandtopographyconstraintcombinedmodificationmethod