Technical Papers
Mar 16, 2022

Combining the Tide Gauge Stations and GPS/GLONASS Observations to Validate Global and Regional Ocean Tide Models around China Coast

Publication: Journal of Surveying Engineering
Volume 148, Issue 3

Abstract

Ocean tide loading (OTL) correction is becoming more and more crucial in high precision geodetic data processing. The published global ocean tide models show good agreement in deep oceans and exhibit differences in complex coastal areas, along with subsequent OTL displacement modeling differences. In order to select a suitable high precision ocean tide model for China’s coastline, both the tide gauge stations and multifrequency Global Navigation Satellite System (multi-GNSS) observations are used for validating eight global ocean tide models and a regional ocean tide model. First, 18.6 year’s tide gauge data were employed to generate the harmonic parameters to evaluate the accuracy of 9 ocean tide models. The DTU10 model shows better agreement with tide gauge stations. Second, combining the Global Positioning System (GPS) and global navigation satellite system (GLONASS) kinematic precise point positioning (PPP) was improved based on the algorithm of GPS kinematic PPP to estimate the effects of three-dimensional (3D) OTL displacements. Then, continuous observations of 23 coastal sites from the Crustal Movement Observation Network of China from January 1, 2016 to December 31, 2019 were collected to generate 3D OTL displacement amplitudes and phase lags of 8 constituents using GPS/GLONASS solutions and harmonic analysis. By comparison with DTU10 model predictions, the results present that the combined GPS/GLONASS-derived OTL displacement model showed good consistency with the model predictions in all three components. Third, the GPS/GLONASS-derived OTL displacement estimates were taken as reference to calculate the root mean square (RMS) misfit with model values from 9 ocean tide models. The results show the DTU10 model agreed with the multi-GNSS-derived OTL displacement estimates best in all three components. The RMS misfits of all constituents are less than 1.8, 1.3, and 1.8 mm in the vertical, east, and north directions, respectively. Finally, through comparing the correction effects from different model predictions on the coordinate time series of the GNSS stations, the results also show that the DTU10 model correction effect in the GNSS position time series was better than that of other global or regional ocean tide models. That DTU10 model had good adaptability in the China coast areas was proven, so that it can be recommended for more data processing, such as leveling, gravity, and other geodetic data processing.

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Data Availability Statement

The data from tide gauge stations, ocean tide models, and the code for the GPS/GLONASS combined kinematic PPP and harmonic analysis are available from the corresponding author upon reasonable request. The data from GNSS stations were provided by a third party. Direct requests for these materials may be made to the provider as indicated in the Acknowledgments.

Acknowledgments

We thank CMONC for providing GNSS data and IAC, www.glonass-iac.ru, for providing reprocessed products. We are grateful to the providers of the global ocean tide models and the observation data from tide gauge stations from the University of Hawaii Sea Level Center. This work was supported by the Program of the National Natural Science Foundation of China (Grants Nos. 41904040 and 41774004).

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Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 148Issue 3August 2022

History

Received: Aug 24, 2020
Accepted: Dec 20, 2021
Published online: Mar 16, 2022
Published in print: Aug 1, 2022
Discussion open until: Aug 16, 2022

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Authors

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Professor, Beidou Navigation and Positioning Center Dept., Geodetic Data Processing Center of Ministry of Natural Resource, Xian Univ. of Technology, Xian 710054, China (corresponding author). Email: [email protected]
Chuanlu Cheng [email protected]
Professor, Beidou Navigation and Positioning Center Dept., Geodetic Data Processing Center of Ministry of Natural Resource, Xian 710054, China. Email: [email protected]
Gongwen Huang [email protected]
Professor, Beidou Navigation and Positioning Center Dept., Geodetic Data Processing Center of Ministry of Natural Resource, Xian 710054, China. Email: [email protected]
Chunxiao Li [email protected]
Engineer, Beidou Navigation and Positioning Center Dept., Geodetic Data Processing Center of Ministry of Natural Resource, Xian 710054, China. Email: [email protected]
Jianwei Wang [email protected]
Engineer, Beidou Navigation and Positioning Center Dept., Geodetic Data Processing Center of Ministry of Natural Resource, Xian 710054, China. Email: [email protected]
Engineer, Beidou Navigation and Positioning Center Dept., Geodetic Data Processing Center of Ministry of Natural Resource, Xian 710054, China. Email: [email protected]
Xiawei Cheng [email protected]
Engineer, Beidou Navigation and Positioning Center Dept., Geodetic Data Processing Center of Ministry of Natural Resource, Xian 710054, China. Email: [email protected]
Engineer, Beidou Navigation and Positioning Center Dept., Geodetic Data Processing Center of Ministry of Natural Resource, Xian 710054, China. Email: [email protected]
Engineer, Beidou Navigation and Positioning Center Dept., Geodetic Data Processing Center of Ministry of Natural Resource, Xian 710054, China. Email: [email protected]
Engineer, Data collection Dept., The First Institute of Photogrammetry and Remote Sensing, Xian 710054, China. Email: [email protected]

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