Accuracy Assessment of Sentinel-3 Satellite Altimetry in the Coastal Areas of the Azov Sea
https://doi.org/10.23947/2587-8999-2025-9-1-31-38
Abstract
Introduction. The Azov Sea is a shallow semi-enclosed sea where satellite altimetry (SA) faces challenges in ensuring accurate sea level measurements. This study focuses on verifying Sentinel-3 altimetry data in the coastal areas of the Azov Sea using observational platform data and a three-dimensional hydrodynamic model.
Materials and Methods. The study is based on a comparison of sea surface heights (SSH) obtained from the Sentinel-3 radar altimeter with tide gauge data and modelling results. A three-dimensional hydrodynamic model, adapted to the conditions of the Azov Sea, was used, along with satellite data processed considering atmospheric and tidal corrections.
Results. The root mean square error (RMSE) between satellite-derived and reference data was found to be 85 mm. The analysis demonstrated that Sentinel-3 Doppler altimetry in SAR mode provides higher accuracy compared to traditional altimetry, particularly in coastal areas.
Discussion and Conclusion. The assessment of Sentinel-3 data confirms their reliability in modeling water levels in the Azov Sea. The comparative analysis methodology proposed in this study enables the identification of systematic errors in satellite data and facilitates their integration with modelling and in situ observations. The study confirms the effectiveness of Sentinel-3 data in determining sea levels in complex coastal conditions. The developed methodology can be applied to other coastal areas to assess satellite altimetry performance.
Keywords
About the Authors
S. V. ProtsenkoRussian Federation
Sofia V. Protsenko, Candidate of Physical and Mathematical Sciences, Associate Professor of the Department of Mathematics, Research Fellow
48, Initiative St., Taganrog, 347936
E. A. Protsenko
Russian Federation
Elena A. Protsenko, Candidate of Physical and Mathematical Sciences, Associate Professor of the Department of Mathematics, Leading Research Fellow
48, Initiative St., Taganrog, 347936
A. V. Kharchenko
Russian Federation
Anton V. Kharchenko, Research Fellow
48, Initiative St., Taganrog, 347936
References
1. Arnold D, Montenbruck O, Hackel S, Sosnica K. Satellite laser ranging to low Earth orbiters: orbit and network validation. J Geodesy. 2019;93(11):2315–2334. https://doi.org/10.1007/s00190-018-1140-4
2. Catalog of spatial and temporal assets of the Copernicus data space ecosystem. URL: https://dataspace.copernicus.eu/ (дата обращения: 09.01.2025)
3. Cipollini P., Calafat F.M., Jevrejeva S. Monitoring sea level in the coastal zone with satellite altimetry and tide
4. gauges. Surv Geophys. 2017;38:33. https://doi.org/10.1007/s10712-016-9392-0
5. EUMETSAT. Sentinel-3 SRAL Marine User Handbook. 2017;55.
6. Fernandez J., Peter H., Calero E.J., Berzosa J., Gallardo L.J., Femenias P. Sentinel-3A: Validation of orbit products at the Copernicus POD service. Fiducial Reference Measurements for Altimetry, International Association of Geodesy Symposia. 2019;150:75–82. https://doi.org/10.1007/1345_2019_64
7. Montenbruck O., Hackel S., Jaggi A. Precise orbit determination of the Sentinel-3A altimetry satellite using ambiguity-fixed GPS carrier phase observations. J Geodesy. 2018;92:711–726. https://doi.org/10.1007/s00190-017-1090-2
8. Unified State Information System on the Situation in the World Ocean. URL: http://portal.esimo.ru/ (дата обращения: 09.01.2025)
9. Protsenko S., Sukhinova T. Mathematical modeling of wave processes and transport of bottom materials in coastal water areas taking into account coastal structures. MATEC Web Conf. 2017;04002. https://doi.org/10.1051/matecconf/201713204002
10. Protsenko S.V., Protsenko E.A., Kharchenko A.V. Comparison of hydrodynamic processes modelling results in shallow water bodies based on 3D model and 2D model averaged by depth. Computational Mathematics and Information Technologies. 2023;7(3):49–63. (In Russ.) https://doi.org/10.23947/2587-8999-2023-7-3-49-63
11. Sukhinov A.I., Protsenko S.V., Panasenko N.D. Mathematical modeling and ecological design of the marine systems taking into account multi-scale turbulence using remote sensing data. Computational Mathematics and Information Technologies. 2022;6(3):104–113. (In Russ.) https://doi.org/10.23947/2587-8999-2022-1-3-104-113
12. Sukhinov A.I., Protsenko E.A., Chistyakov A.E., Shreter S.A. Comparison of computational efficiency of explicit and implicit schemes for the problem of sediment transport in coastal water systems. Parallel Computational Technologies (PaVT’2015). Proceedings of the International Scientific Conference. 2015. P. 297–307. (In Russ.)
13. Sukhinov A.I., Chistyakov A.E., Protsenko E.A. Construction of a discrete two-dimensional mathematical model of sediment transport. Izvestiya SFedU. Technical Sciences. 2011;8(121):32–44. (In Russ.)
Review
For citations:
Protsenko S.V., Protsenko E.A., Kharchenko A.V. Accuracy Assessment of Sentinel-3 Satellite Altimetry in the Coastal Areas of the Azov Sea. Computational Mathematics and Information Technologies. 2025;9(1):31-38. https://doi.org/10.23947/2587-8999-2025-9-1-31-38