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arXiv 1605.02409astro-ph.IM
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使用GPS校准MWA的电离层模拟。II:利用GPS和GLONASS进行区域电离层建模,以估计电离层梯度

Ionospheric Modelling using GPS to Calibrate the MWA. II: Regional ionospheric modelling using GPS and GLONASS to estimate ionospheric gradients

B. S. Arora, J. Morgan, S. M. Ord, S. J. Tingay, M. Bell, J. R. Callingham, K. S. Dwarakanath, B. -Q. For, P. Hancock, L. Hindson, N. Hurley-Walker, M. Johnston… 展开作者

B. S. Arora, J. Morgan, S. M. Ord, S. J. Tingay, M. Bell, J. R. Callingham, K. S. Dwarakanath, B. -Q. For, P. Hancock, L. Hindson, N. Hurley-Walker, M. Johnston-Hollitt, A. D. Kapinska, E. Lenc, B. McKinley, A. R. Offringa, P. Procopio, L. Staveley-Smith, R. B. Wayth, C. Wu, Q. Zheng

摘要:

我们估计电离层的空间梯度使用全球定位系统(GPS)和GLONASS(俄罗斯全球导航系统)的观测,利用多个GPS站附近的默奇森射电天文台(MRO)的数据。在以前的工作中,电离层的特点是使用一个单一的站模型电离层作为一个单一的层的固定高度,这是比较与电离层数据来自射电天文观测获得的默奇森宽场阵列(MWA)。在改进了我们的数据质量(通过周跳探测和修复)并纳入了来自全球轨道导航卫星系统的数据之后,我们现在提出了一种多站方法。这两项发展大大改善了我们对电离层的建模。我们还探讨了可变高度模型的影响。我们得出的结论是,在电离层的小规模功能,已观察到的MWA建模将需要一个更密集的网络的全球导航卫星系统(GNSS)站比目前在MRO。

英文摘要:

We estimate spatial gradients in the ionosphere using the Global Positioning System (GPS) and GLONASS (Russian global navigation system) observations, utilising data from multiple GPS stations in the vicinity of Murchison Radio-astronomy Observatory (MRO). In previous work the ionosphere was characterised using a single-station to model the ionosphere as a single layer of fixed height and this was compared with ionospheric data derived from radio astronomy observations obtained from the Murchison Widefield Array (MWA). Having made improvements to our data quality (via cycle slip detection and repair) and incorporating data from the GLONASS system, we now present a multi-station approach. These two developments significantly improve our modelling of the ionosphere. We also explore the effects of a variable-height model. We conclude that modelling the small-scale features in the ionosphere that have been observed with the MWA will require a much denser network of Global Navigation Satellite System (GNSS) stations than is currently available at the MRO.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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