根据全球电离层观测数据确定电离层垂直误差相关长度

IF 3.7 2区 地球科学 Space Weather Pub Date : 2024-03-05 DOI:10.1029/2023sw003743
L. Yuan, Timothy Kodikara, M. M. Hoque
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引用次数: 0

摘要

数据同化是监测电离层电子密度变化的最重要方法之一。构建背景误差协方差矩阵是电离层数据同化的一个重要组成部分。要构建背景误差协方差矩阵,需要电离层空间相关性的信息。我们基于全球电离层探测仪网络和 Neustrelitz 电子密度模型,对电离层垂直误差相关长度(VCL)进行了统计分析。我们表明,本地得出的垂直误差相关长度定义明确,而且垂直误差相关长度与地理季节没有相当大的依赖性,但表明垂直误差相关长度存在本地时间依赖性。还建立了一个基于电离层尺度高度的新型 VCL 模型。我们表明,电离层 VCL 可以用电离层模型和电离层测量值之间的方差比来表征。VCL 的高度变化受电离层模型固有 VCL 与测量值之间相互作用的控制。根据提议的模型在两个不同纬度进行了两次实验。结果表明,所提出的模型是稳定的,并且与观测到的 VCL 具有良好的相关性,这意味着该模型具有推广为全球相关模型的潜力。所提出的模型可用于电离层四维变量同化中误差协方差矩阵的时间演变,从而克服电离层四维变量同化中静态误差协方差规格的主要缺点。
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Characterization of the Ionospheric Vertical Error Correlation Lengths Based on Global Ionosonde Observations
Data assimilation is one of the most important approaches to monitoring the variations of ionospheric electron densities. The construction of the background error covariance matrix is an important component of ionospheric data assimilations. To construct the background error covariance matrix, the information about the spatial ionospheric correlations is required. We present a statistical analysis on the ionospheric vertical error correlation length (VCL) based on a global network of ionosondes and the Neustrelitz Electron Density Model. We show that the locally derived VCL is well-defined and the VCL does not show a considerable dependency on the geographical seasons while local time dependencies of the VCL are shown to be present. A novel VCL model is also established based on the ionospheric scale heights. We show that the ionospheric VCL can be characterized by the variance ratio between the ionosphere model and ionospheric measurements. The altitudinal variations of VCLs are controlled by the interactions between the inherent VCLs of the ionosphere model and the measurements. Two experiments are conducted at two different latitudes based on the proposed model. The results show that the proposed model is stable and well-correlated with the observed VCLs, which implies a potential to be generalized for a global correlation model. The proposed model can be used in the temporal evolution of error covariance matrices in the ionospheric 4D-Variational (4D-Var) assimilations, which may overcome the main drawbacks of the static error covariance specifications in the ionospheric 4D-Var assimilations.
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