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author:

Zhu, F. (Zhu, F..) [1] | Guo, J. (Guo, J..) [2] | Sun, Y. (Sun, Y..) [3] | Li, Z. (Li, Z..) [4] | Yuan, J. (Yuan, J..) [5] | Sun, H. (Sun, H..) [6]

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Scopus

Abstract:

The GRACE gravity satellites can only detect low-resolution marine gravity change. This study proposes to use satellite altimetry data to construct high-resolution marine gravity change rate (MGCR) model. The marine gravity field change is mainly caused by the seawater mass migration. Based on the spherical harmonic function (SHF) method and mass loading theory, a spherical harmonic synthesis formula is constructed to calculate MGCR. This idea is utilized to establish MGCR model in Arabian Sea (AS). Firstly, the multi-satellite altimeter data from 1993 to 2019 is grouped, preprocessed and utilized to establish mean sea level models, then the long-term altimetry SLCR is estimated. Secondly, the altimetry SLCR subtracts effects of Steric and Glacial Isostatic Adjustment to obtain the SLCR model caused by mass migration (AS_MM_SLCR). Finally, we perform spherical harmonic analysis on AS_MM_SLCR, and apply the spherical harmonic synthesis formula to estimate MGCR model on 5’×5’ grids (AS_SHF_MGCR). AS_SHF_MGCR has higher resolution than GRACE_MGCR, compensating for inability of GRACE to detect small-scale marine gravity changes; the MGCR mean of AS_SHF_MGCR is 0.13 μGal/year, which indicates the long-term rising trend of marine gravity in AS. This letter proposes a method for calculating the MGCR using satellite altimetry, which offers a novel approach for marine time-varying gravity research. IEEE

Keyword:

Altimetry Data models Earth Gravity Harmonic analysis Microwave Radiometry Oceans and Water Radar Data Satellites Sea level

Community:

  • [ 1 ] [Zhu F.]State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China
  • [ 2 ] [Guo J.]College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, China
  • [ 3 ] [Sun Y.]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China
  • [ 4 ] [Li Z.]College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, China
  • [ 5 ] [Yuan J.]School of Geomatics, Anhui University of Science and Technology, Huainan, China
  • [ 6 ] [Sun H.]State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China

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Source :

IEEE Geoscience and Remote Sensing Letters

ISSN: 1545-598X

Year: 2024

Volume: 21

Page: 1-1

4 . 0 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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