Technical Papers
Aug 9, 2024

Determination of Ocean Tide Loading Displacements Using a Dense Continuous GPS/BDS Network

Publication: Journal of Surveying Engineering
Volume 150, Issue 4

Abstract

The Global Positioning System (GPS) and the Global Navigation Satellite System (GLONASS) have been used to estimate ocean tide loading displacement (OTLD) with high accuracy; however, GPS has been problematic at K2 and K1 frequencies because they coincide with the GPS orbital period and revisit period, and GLONASS with an ambiguous float performs best for the two aforementioned constituents in the north and up directions. Here, we investigated the potential of using the BeiDou Navigation Satellite System (BDS) constellation [the medium Earth orbit (MEO) satellite revisit period of seven sidereal days, distinct from K1] to improve the accuracy of the eight major ocean tide loading constituents. BDS and combined GPS+BDS OTLD estimations are improved based on the algorithm of GPS kinematic precise point positioning (PPP), and all of them resolve ambiguity. Data from 72 continuously operating Global Navigation Satellite System (GNSS) reference stations distributed in Fujian Province from 2017 to 2020 were collected and processed to produce OTLD parameters for each of the three modes: GPS, BDS, and GPS+BDS. To investigate whether considering the effect of second-order ionosphere (Ion2) delays improved the tidal constituents, the Ion2 delays were used to calculate the OTLD parameters, and the results demonstrated that Ion2 delays improved four solar/sidereal constituents (S2, K2, K1, and P1). By comparing the root-mean-square misfits between the reference values and the GNSS OTLD estimates, the results showed that the reference/GPS+BDS misfits of most constituents were the lowest among the three components, except for K1 and P1. Meanwhile, reference/BDS misfits for the K1 and P1 constituents are all less than 0.6 mm, demonstrating that BDS estimation can improve the accuracy for K1 and P1 in three directions, particularly for the east component. The phasor plots also show that GPS, BDS, and GPS+BDS show poor agreement for the K2 constituent. BDS agrees with the reference model at the 95% confidence level, whereas GPS and GPS+BDS do not agree with the reference model for the K1 constituent. We then propose the use of a combination of constellation modes to determine the OTLD parameters: GPS+BDS for five constituents (M2, N2, O1, Q1, S2) and BDS-only solutions for the K1 and P1 constituents. The K2 constituent, which is problematic in GPS+BDS solutions and requires the help of GLONASS or Galileo, avoids orbital errors over a 12 h period.

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Data Availability Statement

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

Acknowledgments

We thank WHU for providing reprocessed products (ftp://igs.gnsswhu.cn). We are grateful for the provider of the global ocean tide models (http://holt.oso.chalmers.se/loading/) and SPOTL software. This work is supported by the Program of the National Natural Science Foundation of China (Grant No. 41904040) and the Scientific Research Program funded by Shaanxi Provincial Education Department (Program No. 22JT031).

References

Abbaszadeh, M., P. J. Clarke, and N. T. Penna. 2020. “Benefits of combining GPS and GLONASS for measuring ocean tide loading displacement.” J. Geod. 94 (7): 63. https://doi.org/10.1007/s00190-020-01393-5.
Agnew, D. C. 2012. SPOTL: Some programs for ocean-tide loading. La Jolla, CA: Scripps Institution of Oceanography.
Bohm, J., A. E. Niell, P. Tregoning, and H. Schub. 2006a. “Global mapping function (GMF): A new empirical mapping function based on numerical weather model data.” Geophys. Res. Lett. 33 (7): L07304. https://doi.org/10.1029/2005GL025546.
Bohm, J., B. Werl, and H. Schuh. 2006b. “Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium-Range Weather Forecasts operational analysis data.” J. Geophys. Res. 111 (Jun): B02406. https://doi.org/10.1029/2005JB003629.
Bos, M. S., N. T. Penna, T. F. Baker, and P. J. Clarke. 2015. “Ocean tide loading displacements in Western Europe: 2. GPS-observed an elastic dispersion in the asthenosphere.” J. Geophys. Res.: Solid Earth 120 (9): 6540–6557. https://doi.org/10.1002/2015JB011884.
Cai, C., and Y. Gao. 2007. “Precise point positioning using combined GPS and GLONASS observations.” J. Global Positioning Syst. 6 (1): 13–22. https://doi.org/10.5081/jgps.6.1.13.
Cai, C., and Y. Gao. 2013. “Modeling and assessment of combined GPS/GLONASS precise point positioning.” GPS Solutions 17 (2): 223–236. https://doi.org/10.1007/s10291-012-0273-9.
Cai, C., Y. Gao, L. Pan, and J. Zhu. 2015. “Precise point positioning with quad-constellations: GPS, Bei Dou, GLONASS and Galileo.” Adv. Space Res. 56 (1): 133–143. https://doi.org/10.1016/j.asr.2015.04.001.
Cheng, Y., and O. B. Andersen. 2011. “Multimission empirical ocean tide modeling for shallow waters and polar seas.” J. Geophys. Res. 116 (Jun): C11001. https://doi.org/10.1029/2011JC007172.
Codiga, D. L. 2011. Unified tidal analysis and prediction using the UTide Matlab functions. Narragansett, RI: Univ. of Rhode Island.
Eanes, R. J., and A. Schuler. 1999. “An improved global ocean tide model from TOPEX/Poseidon altimetry: CSR4. 0.” In Proc., 24th General Assembly, EGS, 19–23. New York: ACM Digital Library.
Efron, B., and R. J. Tibshirani. 1993. “An introduction to the bootstrap.” In Vol. 57 of Monographs on statistics and applied probability, 436. New York: Chapman and Hall.
Egbert, G. D., and S. Y. Erofeeva. 2002. “Efficient inverse modeling of barotropic ocean tides.” J. Atmos. Oceanic Technol. 19 (2): 183–204. https://doi.org/10.1175/1520-0426(2002)019%3C0183:EIMOBO%3E2.0.CO;2.
Farrell, W. E. 1972. “Deformation of Earth by surface loads.” Rev. Geophys. Space Phys. 10 (3): 761–797. https://doi.org/10.1029/RG010i003p00761.
Fritsche, M., R. Dietrich, C. Knöfel, A. Rülke, S. Vey, M. Rothacher, and P. Steigenberger. 2005. “Impact of higher order ionospheric terms on GPS estimates.” Geophys. Res. Lett. 32 (23): L23311. https://doi.org/10.1029/2005GL024342.
King, M., R. Colemar, and L. N. Nguyen. 2003. “Spurious periodic horizontal signals in sub-daily GPS position estimates.” J. Geod. 77 (1–2): 15–21. https://doi.org/10.1007/s00190-002-0308-z.
King, M., N. T. Penna, P. J. Clarke, and E. C. King. 2005. “Validation of ocean tide models around Antarctica using onshore GPS and gravity data.” J. Geophys. Res. 110 (B8): 347. https://doi.org/10.1029/2004JB003390.
Li, X., M. Ge, X. Dai, X. Ren, M. Fritsche, J. Wickert, and H. Schuh. 2015. “Accuracy and reliability of multi-GNSS real-time precise positioning: GPS, GLONASS, Bei Dou, and Galileo.” J. Geod. 89 (6): 607–635. https://doi.org/10.1007/s00190-015-0802-8.
Lyard, F., F. Lefèvre, T. Letellier, and O. Francis. 2006. “Modelling the global ocean tides: A modern insight from FES2004.” Ocean Dyn. 56 (5–6): 394–415. https://doi.org/10.1007/s10236-006-0086-x.
Matsumoto, K., T. Takanezawa, and M. Ooe. 2000. “Ocean tide models developed by assimilating TOPEX/POSEIDON altimeter data into hydrodynamical model: A global model and a regional model around Japan.” J. Oceanogr. 56 (5): 567–581. https://doi.org/10.1023/A:1011157212596.
Matviichuk, B., M. King, and C. Watson. 2020. “Estimating ocean tide loading displacements with GPS and GLONASS.” Solid Earth 11 (5): 1849–1863. https://doi.org/10.5194/se-11-1849-2020.
Niell, A. E. 1996. “Global mapping functions for the atmosphere delay at radio wavelengths.” J. Geophys. Res. 101 (B2): 3227–3246. https://doi.org/10.1029/95JB03048.
Penna, N., M. Bos, and T. Baker. 2008. “Assessing the accuracy of predicted ocean tide loading displacement values.” J. Geod. 82 (12): 893–907. https://doi.org/10.1007/s00190-008-0220-2.
Penna, N. T., P. J. Clarke, M. S. Bos, and T. F. Baker. 2015. “Ocean tide loading displacements in western Europe: 1. Validation of kinematic GPS estimates.” J. Geophys. Res.: Solid Earth 120 (9): 6523–6539. https://doi.org/10.1002/2015JB011882.
Petit, G., and B. Luzum. 2010. IERS conventions. Frankfurt am Main, Germany: Bundesamt für Kartographie und Geodäsie.
Ray, R. D. 1999. A global ocean tide model from TOPEX/POSEIDON altimetry: GOT99. Greenbelt, MD: Goddard Space Flight Center.
Savcenko, R., and W. Bosch. 2012. EOT11a—Empirical ocean tide model from multi-mission satellite altimetry. München, Germany: Deutsches Geodatisches Forschungs Institut.
Taguchi, E., D. Stammer, and W. Zahel. 2012. “Estimation of deep ocean tidal energy dissipation based on the high-resolution data-assimilative HAMTIDE model.” J. Geophys. Res. Oceans 119 (7): 4573–4592.
Thomas, I. D., M. A. King, and P. J. Clarke. 2007. “A comparison of GPS, VLBI and model estimates of ocean tide loading displacements.” J. Geod. 81 (5): 359–368. https://doi.org/10.1007/s00190-006-0118-9.
Thomas, I. D., M. A. King, and P. J. Clarke. 2008. “A validation of ocean tide models around Antarctica using GPS measurements.” In Geodetic and geophysical observations in polar regions: Overview in perspective of the international polar year, edited by A. Capra and R. Dietrich, 211–235. Berlin: Springer. https://doi.org/10.1007/978-3-540-74882-3_12.
Tu, R., M. Geng, H. Zhang, and G. Huang. 2013. “The realization and convergence analysis of combined PPP based on raw observation.” Adv. Space Res. 52 (1): 211–221. https://doi.org/10.1016/j.asr.2013.03.005.
Tu, R., H. Zhao, P. Zhang, J. Liu, and X. Lu. 2017. “An improved method to estimate the ocean tide loading displacements parameters by GNSS precise point positioning and harmonic analysis.” J. Surv. Eng. 143 (3): 1943–5428. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000222.
Urschl, C., R. Dach, U. Hugentobler, S. Sschaer, and G. Gbutler. 2005. “Validating ocean tide loading models using GPS.” J. Geod. 78 (10): 616–625. https://doi.org/10.1007/s00190-004-0427-9.
Wang, J., N. T. Penna, P. J. Clarke, and M. S. Bos. 2020. “Asthenospheric anelasticity effects on ocean tide loading around the East China Sea observed with GPS.” Solid Earth 11 (1): 185–197. https://doi.org/10.5194/se-11-185-2020.
Wu, J. T., S. C. Wu, G. A. Hajj, W. I. Bertiger, and S. M. Lichten. 1993. “Effects of antenna orientation on GPS carrier phase.” Manuscr. Geod. 18 (2): 91–98.
Yuan, L. G., B. F. Chao, X. L. Ding, and P. Zhong. 2013. “The tidal displacement field at earth’s surface determined using global GPS observations.” J. Geophys. Res.: Solid Earth 118 (5): 2618–2632. https://doi.org/10.1002/jgrb.50159.
Yuan, L. G., X. L. Ding, H. P. Sun, P. Zhong, and W. Chen. 2010. “Determination of ocean tide loading displacements in Hong Kong using GPS technique.” Sci. China Earth Sci. 53 (Jul): 993–1007. https://doi.org/10.1007/s11430-010-3076-2.
Yuan, L. G., X. L. Ding, P. Zhong, and W. Chen. 2009. “Estimate of ocean tide loading displacements and its impact on position time series in Hong Kong using a dense continuous GPS network.” J. Geod. 83 (11): 999–1015. https://doi.org/10.1007/s00190-009-0319-0.
Zhao, H., C. Cheng, G. Huang, C. Li, J. Wang, W. Wang, X. Cheng, Z. Hui, Y. Li, and Y. Zhen. 2022. “Combining the tide gauge stations and GPS/GLONASS observations to validate global and regional ocean tide models around China coast.” J. Surv. Eng. 148 (3): 04022004. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000396.
Zhao, H., Z. Liu, G. W. Jiang, Z. K. Liu, Y. Y. Sun, and D. He. 2021. “Estimation of the ocean tide loading displacements by GPS and GLONASS kinematic precise point positioning.” Surv. Rev. 54 (386): 456–468. https://doi.org/10.1080/00396265.2021.1982178.
Zhao, H., R. Tu, Z. Liu, and J. W. Jiang. 2017. “Analysis of ocean tide loading displacements by GPS kinematic precise point positioning: A case study at the China coastal site SHAO.” Surv. Rev. 51 (Jun): 172–182. https://doi.org/10.1080/00396265.2017.1407392.

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Journal of Surveying Engineering
Volume 150Issue 4November 2024

History

Received: Nov 10, 2022
Accepted: Apr 30, 2024
Published online: Aug 9, 2024
Published in print: Nov 1, 2024
Discussion open until: Jan 9, 2025

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Professor, School of Civil Engineering and Architecture, Xian Univ. of Technology, Xi’an 710048, China (corresponding author). Email: [email protected]
Professor, School of Civil Engineering and Architecture, Xian Univ. of Technology, Xi’an 710048, China. Email: [email protected]
Professor, School of Civil Engineering and Architecture, Xian Univ. of Technology, Xi’an 710048, China. Email: [email protected]
Professor, School of Civil Engineering and Architecture, Xian Univ. of Technology, Xi’an 710048, China. Email: [email protected]

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