Ionospheric Modelling using GPS to Calibrate the MWA. II: Regional Ionospheric Modelling using GPS and GLONASS to Estimate Ionospheric Gradients

Ionospheric Modelling using GPS to Calibrate the MWA. II: Regional Ionospheric Modelling using GPS and GLONASS to Estimate Ionospheric Gradients
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使用 GPS 进行电离层建模来校准 MWA。

DOI:
10.1017/pasa.2016.22
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发表时间:
2016
影响因子:
6.3
通讯作者:
Arora B
Arora B
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Arora B

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我们利用Murchison射电天文台附近的多个全球定位系统站的数据,利用全球定位系统和GLONASS(俄罗斯全球导航系统)观测估计电离层的空间梯度。在以前的工作中,电离层的特征是使用单个站点将电离层建模为固定高度的单层,并将其与从默奇森广域阵列获得的射电天文观测数据进行比较。在改进了我们的数据质量(通过周期滑动检测和修复)并结合GLONASS系统的数据后,我们现在提出了一种多站方法。这两项进展大大改进了我们对电离层的建模。我们还探讨了变高度模型的影响。我们得出的结论是,用MWA观测到的电离层的小尺度特征建模将需要一个比目前在默奇森射电天文台可用的更密集的全球导航卫星系统站网络。
We estimate spatial gradients in the ionosphere using the Global Positioning System and GLONASS (Russian global navigation system) observations, utilising data from multiple Global Positioning System stations in the vicinity of Murchison Radio-astronomy Observatory. 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. 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 stations than is currently available at the Murchison Radio-astronomy Observatory.
松田卓也:皇家天文学会月刊(1987)。
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发表时间: 2015
期刊: Publications Astronomical Society of Australia
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作者:
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发表时间: 2010
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