An improved multi-surface function method with residual constraint for the fusion of shipborne and satellite altimetry derived gravity data

doi:10.11947/j.AGCS.2023.20210444

Abstract

Abstract: In order to obtain accurate regional gravity field, it is necessary to fuse multi-source gravity data. In this study, an improved analytical fusion method based on multi-surface functions by introducing residual constraint factors is proposed. Taken the surrounding the Japanese archipelago area as example, collecting the shipborne gravity data and satellite altimetry derived gravity field model, several factors which affect the accuracy of fusion results, including the block size, the quantity and distribution of the fused shipborne gravity data, are analyzed. And with optimal above factors, the fused results of the improved method are compared with those of the least square collocation method and the multi-surface function method. Compared to the shipborne gravity data for verification, the improved method with residual constraint has the best accuracy, as well as the smallest extreme values and standard deviations. Furthermore, the improved method reduced the discrepancy of two kinds of data near the control shipborne measuring points, and extrapolate to the other areas to improve the accuracy of satellite altimetry derived gravity model with reasonable distributed residuals.

Key words: satellite altimetry, shipborne gravity, residual constraint, multi-surface function method, least square collocation

CLC Number:

P228.3

ZHAO Chuang, JIN Taoyong, QIN Pengbo, YANG Lianjun. An improved multi-surface function method with residual constraint for the fusion of shipborne and satellite altimetry derived gravity data[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(4): 605-613.

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