GNSS掩星数据的模型辅助反演

G. Hochegger, R. Leitinger
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引用次数: 4

摘要

经典的掩星数据反演假设为球对称。当然,在电离层中,电子密度不仅取决于高度,还取决于地理坐标。在垂直“重建平面”上的投影给出了电子密度与高度和水平坐标的依赖关系。线性水平梯度对反演结果没有影响。然而,非线性梯度(如波谷和山脊)会影响反演结果,使其与重建平面上电子密度的真实高度分布有很大的不同。我们开发了一种反演算法,利用这些数据驱动模型构建了沿掩星射线的电子密度分布。这将权重引入到反演方程的设计矩阵中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model assisted inversion of GNSS occultation data

The classical inversion of occultation data assumes spherical symmetry. Of course in the ionosphere the electron density depends not only on height but also on the geographic coordinates. Projection on a vertical “reconstruction plane” gives dependence of electron density on height and on a horizontal coordinate. Linear horizontal gradients have no influence on inversion results. However, nonlinear gradients (e.g. troughs and ridges) can influence the inversion results in such a way that they differ strongly from true height profiles of electron density in the reconstruction plane.

We have developed an inversion algorithm which such data driven models constructing the electron density distribution along the occultation rays. This introduces weights into the design matrix of the inversion equation.

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