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Evaluation of the New Background Covariance Model for the Ionospheric Data Assimilation
Radio Science ( IF 1.6 ) Pub Date : 2021-07-28 , DOI: 10.1029/2021rs007286
Victoriya V. Forsythe 1 , Irfan Azeem 1 , Ryan Blay 1 , Geoff Crowley 1 , Federico Gasperini 1 , Joe Hughes 1 , Roman A. Makarevich 1 , Wanli Wu 1
Affiliation  

This paper presents the evaluation of the recently developed covariance model for the Ionospheric Data Assimilation Four-Dimensional (IDA4D) technique. The ionospheric data are generated using the Observation System Simulation Experiment Tool from the known ionospheric state produced by the physics-based Thermosphere-Ionosphere-Mesosphere Electrodynamics General Circulation Model. Several experiments are conducted to assess performance of IDA4D with data-driven vertical and horizontal covariance matrices. We show that the vertical part of the covariance model plays the most important role because it preserves the vertical structure of the F-region density layer and helps to correct a tomographic issue that arises when the slant total electron content is assimilated along the intersecting rays. The results show that the new covariance model improves the fidelity of IDA4D algorithm, making it more suitable for the regional assimilation with dense ground-based Global Positioning System data coverage.

中文翻译:

电离层数据同化的新背景协方差模型评估

本文介绍了对最近开发的用于电离层数据同化四维 (IDA4D) 技术的协方差模型的评估。电离层数据是使用观测系统模拟实验工具根据基于物理学的热层-电离层-中间层电动力学一般环流模型产生的已知电离层状态生成的。进行了几个实验来评估 IDA4D 与数据驱动的垂直和水平协方差矩阵的性能。我们表明协方差模型的垂直部分起着最重要的作用,因为它保留了 F 区密度层的垂直结构,并有助于纠正当倾斜的总电子含量沿交叉射线同化时出现的断层扫描问题。
更新日期:2021-08-17
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