Regional gravity field recovery using the GOCE gravity gradient tensor and heterogeneous gravimetry and altimetry data
Regional gravity field recovery using the GOCE gravity gradient tensor and heterogeneous gravimetry and altimetry data
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使用GOCE重力梯度张量和异质重力和测高数据恢复区域重力场
DOI：
10.1002/2017jb014196
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发表时间：
2017-08-01
影响因子：
3.9
通讯作者：
Luo, Zhicai
中科院分区：
文献类型：
--
作者：
Wu, Yihao;Zhou, Hao;Luo, Zhicai
使用泊松小波的区域方法应用于重力场恢复使用GOCE（重力场和稳态海洋环流探测器）重力梯度张量，非均匀重力测量数据，和测高测量。GOCE数据引入的区域模型的附加值进行了验证和量化。研究了GOCE数据的不同对角分量及其组合的解的性能。在欧洲一个地区的数值实验表明，GOCE数据引入的影响表明，在厘米尺度上的准大地水准面的高度，这可能会允许减少地面数据中剩余的长波长误差，并改善区域模型的长波长模式。在荷兰（比利时），当使用GOCO 05 s作为参考模型时，与单独使用重力测量和测高数据相比，使用三个对角分量的组合计算的重力似大地水准面的精度提高了0.6cm（0.5cm）。此外，GOCE数据的附加值减少了重力解和GPS/水准数据之间的失配的平均值。不同部件及其组合的性能并不相同，当使用单个部件时，具有垂直梯度的解决方案是最好的。多个组件的合并显示出进一步的改进，三个组件的组合最适合当地的GPS/水准测量数据。进一步的比较表明，我们的解决方案是最高质量的，可以取代现有的模型，用于工程目的和目标区域的地球物理调查。
A regional approach using Poisson wavelets is applied for gravity field recovery using the GOCE (Gravity Field and Steady-State Ocean Circulation Explorer) gravity gradient tensor, heterogeneous gravimetry data, and altimetry measurements. The added value to the regional model introduced by GOCE data is validated and quantified. The performances of the solutions modeled with different diagonal components of GOCE data and their combinations are investigated. Numerical experiments in a region in Europe show that the effects introduced by GOCE data demonstrate long-wavelength patterns on the centimeter scale in terms of quasi-geoid heights, which may allow reducing the remaining long-wavelength errors in ground-based data, and improve the regional model. The accuracy of the gravimetric quasi-geoid computed with a combination of three diagonal components is improved by 0.6cm (0.5cm) in the Netherlands (Belgium) compared to that derived from gravimetry and altimetry data alone, when GOCO05s is used as the reference model. Moreover, the added value from GOCE data reduces the mean values of the misfit between the gravimetric solution and GPS/leveling data. Performances of different components and their combinations are not identical, and the solution with vertical gradients is best when a single component is used. The incorporation of multiple components shows further improvements, and the combination of three components best fits the local GPS/leveling data. Further comparison shows that our solution is the highest quality and may be substituted for existing models for engineering purposes and geophysical investigations over the target area.