Evaluation of Marine Gravity Anomaly Calculation Accuracy by Multi-Source Satellite Altimetry Data

The purpose of this paper is to analyze the influence of satellite altimetry data accuracy on the marine gravity anomaly accuracy. The data of 12 altimetry satellites in the research area (5°N–23°N, 105°E–118°E) were selected. These data were classified into three groups: A, B, and C, according to t...

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Autores principales:	Shanwei Liu, Yinlong Li, Qinting Sun, Jianhua Wan, Yue Jiao, Jinghui Jiang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	marine gravity anomaly shipborne gravity data accuracy evaluation CryoSat-2 South China Sea and its adjacent regions Science Q
Acceso en línea:	https://doaj.org/article/a5e05500069146d8a2accf957c0fea27
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spelling	oai:doaj.org-article:a5e05500069146d8a2accf957c0fea272021-11-11T15:42:17ZEvaluation of Marine Gravity Anomaly Calculation Accuracy by Multi-Source Satellite Altimetry Data2296-646310.3389/feart.2021.730777https://doaj.org/article/a5e05500069146d8a2accf957c0fea272021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/feart.2021.730777/fullhttps://doaj.org/toc/2296-6463The purpose of this paper is to analyze the influence of satellite altimetry data accuracy on the marine gravity anomaly accuracy. The data of 12 altimetry satellites in the research area (5°N–23°N, 105°E–118°E) were selected. These data were classified into three groups: A, B, and C, according to the track density, the accuracy of the altimetry satellites, and the differences of self-crossover. Group A contains CryoSat-2, group B includes Geosat, ERS-1, ERS-2, and Envisat, and group C comprises T/P, Jason-1/2/3, HY-2A, SARAL, and Sentinel-3A. In Experiment I, the 5′×5′ marine gravity anomalies were obtained based on the data of groups A, B, and C, respectively. Compared with the shipborne gravity data, the root mean square error (RMSE) of groups A, B, and C was 4.59 mGal, 4.61 mGal, and 4.51 mGal, respectively. The results show that high-precision satellite altimetry data can improve the calculation accuracy of gravity anomaly, and the single satellite CryoSat-2 enables achieving the same effect of multi-satellite joint processing. In Experiment II, the 2′×2′ marine gravity anomalies were acquired based on the data of groups A, A + B, and A + C, respectively. The root mean square error of the above three groups was, respectively, 4.29 mGal, 4.30 mGal, and 4.21 mGal, and the outcomes show that when the spatial resolution is satisfied, adding redundant low-precision altimetry data will add pressure to the calculation of marine gravity anomalies and will not improve the accuracy. An effective combination of multi-satellite data can improve the accuracy and spatial resolution of the marine gravity anomaly inversion.Shanwei LiuYinlong LiQinting SunJianhua WanYue JiaoJinghui JiangFrontiers Media S.A.articlemarine gravity anomalyshipborne gravity dataaccuracy evaluationCryoSat-2South China Sea and its adjacent regionsScienceQENFrontiers in Earth Science, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	marine gravity anomaly shipborne gravity data accuracy evaluation CryoSat-2 South China Sea and its adjacent regions Science Q
spellingShingle	marine gravity anomaly shipborne gravity data accuracy evaluation CryoSat-2 South China Sea and its adjacent regions Science Q Shanwei Liu Yinlong Li Qinting Sun Jianhua Wan Yue Jiao Jinghui Jiang Evaluation of Marine Gravity Anomaly Calculation Accuracy by Multi-Source Satellite Altimetry Data
description	The purpose of this paper is to analyze the influence of satellite altimetry data accuracy on the marine gravity anomaly accuracy. The data of 12 altimetry satellites in the research area (5°N–23°N, 105°E–118°E) were selected. These data were classified into three groups: A, B, and C, according to the track density, the accuracy of the altimetry satellites, and the differences of self-crossover. Group A contains CryoSat-2, group B includes Geosat, ERS-1, ERS-2, and Envisat, and group C comprises T/P, Jason-1/2/3, HY-2A, SARAL, and Sentinel-3A. In Experiment I, the 5′×5′ marine gravity anomalies were obtained based on the data of groups A, B, and C, respectively. Compared with the shipborne gravity data, the root mean square error (RMSE) of groups A, B, and C was 4.59 mGal, 4.61 mGal, and 4.51 mGal, respectively. The results show that high-precision satellite altimetry data can improve the calculation accuracy of gravity anomaly, and the single satellite CryoSat-2 enables achieving the same effect of multi-satellite joint processing. In Experiment II, the 2′×2′ marine gravity anomalies were acquired based on the data of groups A, A + B, and A + C, respectively. The root mean square error of the above three groups was, respectively, 4.29 mGal, 4.30 mGal, and 4.21 mGal, and the outcomes show that when the spatial resolution is satisfied, adding redundant low-precision altimetry data will add pressure to the calculation of marine gravity anomalies and will not improve the accuracy. An effective combination of multi-satellite data can improve the accuracy and spatial resolution of the marine gravity anomaly inversion.
format	article
author	Shanwei Liu Yinlong Li Qinting Sun Jianhua Wan Yue Jiao Jinghui Jiang
author_facet	Shanwei Liu Yinlong Li Qinting Sun Jianhua Wan Yue Jiao Jinghui Jiang
author_sort	Shanwei Liu
title	Evaluation of Marine Gravity Anomaly Calculation Accuracy by Multi-Source Satellite Altimetry Data
title_short	Evaluation of Marine Gravity Anomaly Calculation Accuracy by Multi-Source Satellite Altimetry Data
title_full	Evaluation of Marine Gravity Anomaly Calculation Accuracy by Multi-Source Satellite Altimetry Data
title_fullStr	Evaluation of Marine Gravity Anomaly Calculation Accuracy by Multi-Source Satellite Altimetry Data
title_full_unstemmed	Evaluation of Marine Gravity Anomaly Calculation Accuracy by Multi-Source Satellite Altimetry Data
title_sort	evaluation of marine gravity anomaly calculation accuracy by multi-source satellite altimetry data
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/a5e05500069146d8a2accf957c0fea27
work_keys_str_mv	AT shanweiliu evaluationofmarinegravityanomalycalculationaccuracybymultisourcesatellitealtimetrydata AT yinlongli evaluationofmarinegravityanomalycalculationaccuracybymultisourcesatellitealtimetrydata AT qintingsun evaluationofmarinegravityanomalycalculationaccuracybymultisourcesatellitealtimetrydata AT jianhuawan evaluationofmarinegravityanomalycalculationaccuracybymultisourcesatellitealtimetrydata AT yuejiao evaluationofmarinegravityanomalycalculationaccuracybymultisourcesatellitealtimetrydata AT jinghuijiang evaluationofmarinegravityanomalycalculationaccuracybymultisourcesatellitealtimetrydata
_version_	1718434107586772992

Evaluation of Marine Gravity Anomaly Calculation Accuracy by Multi-Source Satellite Altimetry Data

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