Modeling the gravitational effects of ocean tide loading at coastal stations in the China earthquake gravity network based on GOTL software

Chuandong Zhu; Liuqing Pang; Didi Sheng; Jialiang Huang; Jinwu Li

doi:10.1515/jag-2022-0023

Abstract

The gravitational effects of ocean tide loading, which are one of the main factors affecting gravity measurements, consist of three components: (1) direct attraction from the tidal water masses, (2) radial displacement of the observing station due to the tidal load, and (3) internal redistribution of masses due to crustal deformation. In this study, software for gravitational effects of ocean tide loading was developed by evaluating a convolution integral between the ocean tide model and Green’s functions that describe the response of the Earth to tide loading. The effects of three-dimensional station coordinates, computational grid patterns, ocean tide models, Green’s functions, coastline, and local tide gauge were comprehensively considered in the programming process. Using a larger number of high-precision coastlines, ocean tide models, and Green’s functions, the reliability and applicability of the software were analyzed at coastal stations in the China Earthquake Gravity Network. The software can provide the amplitude and phase for ocean tide loading and produce a predicted gravity time series. The results can effectively reveal the variation characteristics of ocean tide loading in space and time. The computational gravitational effects of ocean tide loading were compared and analyzed for different ocean tide models and Green’s functions. The results show that different ocean tide models and Green’s functions have certain effects on the calculated values of loading gravity effects. Furthermore, a higher-precision local ocean tide model, digital elevation model, and local tidal gauge record can be further imported into our software to improve the accuracy of loading gravity effects in the global and local zones. The software is easy to operate and can provide a comprehensive platform for correcting the gravitational effects of ocean tide loading at stations in the China Earthquake Gravity Network.

Keywords: GOTL software; gravitational effect; green’s functions; ocean tide loading; ocean tide model

Corresponding author: Chuandong Zhu, The First Monitoring and Application Center, CEA, Tianjin, China, E-mail: zhuchuandong2006@sina.com

Funding source: The Science for Earthquake Resilience

Award Identifier / Grant number: XH22016YA, XH22017YA

Funding source: The Science and Technology Innovation Fund of the First Monitoring and Application Center, CEA

Award Identifier / Grant number: FMC2022001

Funding source: National Key Research and Development Program of China

Award Identifier / Grant number: 2018YFC1503606

Acknowledgments

We acknowledge the AVISO, CEOAS, NAOJ, DGFI, DTU, and CSR for providing the ocean tide models and NOAA for providing GSHHG data. We also acknowledge Bos–Scherneck for providing computational results of ocean tide loading, Wang H L for providing computational results of Green’s functions for PREM, iasp91, ak135, and modified PREM-soft, PREM-hard. CGIAR for providing SRTM DEM data. The figures are generated using the Generic Mapping Tools software.

Author contributions: CDZ contributed to the design of the study, data processing, analysis of results, and manuscript writing. LQP contributed to reviewing and editing the manuscript. DDS, JLH and JWL contributed to data processing.
Research funding: This study was funded by The Science and Technology Innovation Fund of the First Monitoring and Application Center, CEA (NO. FMC2022001), National Key Research and Development Program of China (NO. 2018YFC1503606), and The Science for Earthquake Resilience (No. XH22016YA, XH22017YA).
Conflict of interest: All the authors declare no competing financial and non-financial interests.

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Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/jag-2022-0023).

Received: 2022-07-27

Accepted: 2022-10-15

Published Online: 2022-11-03

Published in Print: 2023-01-27

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