An estimation method of seabed topography based on Gauss surface function using ocean gravity data

doi:10.11947/j.AGCS.2024.20230204

Abstract

Abstract: In this paper, 1'×1' grid disturbing gravity data in the South China Sea are derived from the satellite altimetry data of SARAL from January 2017 to December 2020. By comparing with the ship-borne gravity data, the accuracy is 5.5 mGal. A method is proposed to estimate the terrain model of the seabed by using gravity data and the regional characteristic parameters solved by Gauss surface function. For ETOPO-1 prior model, the accuracy of 1'×1' grid seafloor terrain estimated under a group of 10×10 grids is improved by about 10 meters. For DTU18 prior model, compared with the prior model, the 1'×1' grid seafloor terrain accuracy estimated under a set of 9×9 grids is improved by about 9 meters. To a certain extent, the results show that the five characteristic parameters obtained from gravity data retrieved from satellite altimetry can represent the surface features of the seabed topography in the corresponding area by solving the Gauss surface function, furthermore, the prior seafloor model can be refined by iterative cycle without relying on ship-borne data. Theoretically, for surface estimation, the smaller the mesh, the better the surface function can reflect the regional variation. Therefore, for the future development of satellite altimetry technology, it is expected that the gravity field detection technology with higher resolution will continue to improve the retrieval capability of seabed topographic details.

Key words: disturbing gravity, seabed topography, SARAL satellite, Gaussian surface estimate, ETOPO-1, DTU18

CLC Number:

P258

ZHAI Zhenhe, SUN Zhongmiao, GUAN Bin, MA Jian, LI Duan. An estimation method of seabed topography based on Gauss surface function using ocean gravity data[J]. Acta Geodaetica et Cartographica Sinica, 2024, 53(2): 231-238.

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