Imaging of fast moving electron-density structures in the polar cap

Imaging of fast moving electron-density structures in the polar cap
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极帽中快速移动电子密度结构的成像

DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
C. Mitchell
C. Mitchell
中科院分区：
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文献类型：
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作者：
P. Spencer;C. Mitchell

文献摘要

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极冠中快速移动的电子密度结构的成像提出了一系列独特的挑战 在其他电离层成像问题中没有遇到过。极地总电子含量的GPS观测 与北半球的其他地区相比，冰帽是稀疏的。此外，慢相对运动 由于相对而言，等离子体的速度可能很大，所以穿越天空的卫星的速度使问题复杂化。 而传统的方法可能会导致图像模糊。本文提出了一种基于卡尔曼滤波的方法。 这包含了基于模型等离子体漂移速度场的解的正向投影。这是 等离子体运动，而不仅仅是电子密度的积分，第一次用于电离层 成像算法。这个运动是从电场的韦默尔模型推导出来的。结果表明，这是一种 实现卡尔曼滤波的新方法提供了极冠电离层的详细视图 在恶劣的暴风雨条件下。给出了2003年10月万圣节风暴的一个案例研究，验证了 是由非相干散射雷达提供的。
The imaging of fast-moving electron-density structures in the polar cap presents a unique set of challenges that are not encountered in other ionospheric imaging problems. GPS observations of total electron content in the polar cap are sparse compared to other regions in the Northern Hemisphere. Furthermore, the slow relative motion of the satellites across the sky complicates the problem since the velocity of the plasma can be large in comparison and traditional approaches could result in image blurring. This paper presents a Kalman-filter based method that incorporates a forward projection of the solution based on a model plasma drift velocity field. This is the first time that the plasma motion, rather than just integrations of electron density, has been used in an ionospheric imaging algorithm. The motion is derived from the Weimer model of the electric field. It is shown that this novel approach to the implementation of a Kalman filter provides a detailed view of the polar cap ionosphere under severe storm conditions. A case study is given for the October 2003 Halloween storm where verification is provided by incoherent scatter radars.