融合卫星测高和船测重力数据的非均匀密度点质量方法

A Non-uniform Density Distributed Point-Mass Method for the Fusion of Altimetric and Shipborne Gravity

融合多源海洋重力数据是提升极地、近岸和海底地形复杂区域卫星测高反演海洋重力场模型精度的重要途径。利用国际公开的船测重力数据与测高重力场模型,以琉球群岛附近海域为例,本文分析了点质量密度和船测重力数据分布对点质量模型融合精度的影响,结合船测重力数据分布,构建了基于迭代移去恢复的非均匀密度点质量模型。在相同船测重力约束下,非均匀密度点质量模型融合精度较均匀密度的点质量模型提升可达12%。

The fusion of multi-source marine gravity data is an important way to improve the accuracy of satellite altimetry derived marine gravity,especially in the polar ocean,nearshore and areas with complex seafloor topography.Using the published shipborne gravity data and altimetry derived marine gravity model,taking the ocean area near Ryukyu Islands as an example,this study analyzes the influence of point-mass density and the distribution of shipborne gravity data on the fusion accuracy of point-mass model.Considering with the distribution of shipborne gravity data,apoint-mass model with non-uniform point-mass density distribution is constructed based on iterative removal and recovery process.Under the same shipborne gravity constraint,the fusion accuracy of non-uniform density point-mass model can be improved by 12%compared with that of uniform density point mass model.