Super Dual Auroral Radar Network Expansion and Its Influence on the Derived Ionospheric Convection Pattern

Super Dual Auroral Radar Network Expansion and Its Influence on the Derived Ionospheric Convection Pattern
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超级双极光雷达网络扩展及其对衍生电离层对流模式的影响

DOI:
10.1029/2021ja029559
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发表时间:
2022
期刊:
Journal of Geophysical Research: Space Physics
影响因子:
--
通讯作者:
Thomas, E. G.
Thomas, E. G.
中科院分区:
--
文献类型:
--
作者:
Walach, M. ‐T.;Grocott, A.;Staples, F.;Thomas, E. G.

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超级双极光雷达网络(SuperDARN)是为了研究电离层对流而建立的,近年来已在地理范围上进行了扩展。除了软件开发之外,还产生了许多不同版本的对流图数据集。使用 2012 年至 2018 年的数据,我们使用有限的反向散射范围、背景模型以及排除/包含来自 StormDARN 雷达等特定雷达组的数据,生成了广泛使用的对流图的五个不同版本。这使我们能够模拟旧的 SuperDARN 研究中缺失了多少信息。我们研究了 Heppner-Maynard 边界 (HMB)、交叉极帽电势 (CPCP)、反向散射回波数量 (n) 和 χ2/n 统计量的变化,该统计量是测量速度与拟合速度之间的全局一致性的度量。我们发现,当引入 PolarDARN 雷达时,CPCP 会降低,但当添加 StormDARN 雷达时,CPCP 会再次增加。当背景模型从 RG96 模型更改为最新的 TS18 模型时,CPCP 对于较低值趋于减小,但对于较高值趋于增加。当与地磁指数进行比较时,我们发现HMB与地磁指数以及n之间平均存在线性关系,当HMB位于~50°以下的纬度时,由于观测密度低,这种关系被破坏。虽然对于约束地图很重要(超过 400 个数据点的地图不太可能有差异),但作为唯一的质量衡量标准还不够。
The Super Dual Auroral Radar Network (SuperDARN) was built to study ionospheric convection and has in recent years been expanded geographically. Alongside software developments, this has resulted in many different versions of the convection maps data set being available. Using data from 2012 to 2018, we produce five different versions of the widely used convection maps, using limited backscatter ranges, background models and the exclusion/inclusion of data from specific radar groups such as the StormDARN radars. This enables us to simulate how much information was missing from older SuperDARN research. We study changes in the Heppner‐Maynard boundary (HMB), the cross polar cap potential (CPCP), the number of backscatter echoes (n) and theχ2/nstatistic which is a measure of the global agreement between the measured and fitted velocities. We find that the CPCP is reduced when the PolarDARN radars are introduced, but then increases again when the StormDARN radars are added. When the background model is changed from the RG96 model, to the most recent TS18 model, the CPCP tends to decrease for lower values, but tends to increase for higher values. When comparing to geomagnetic indices, we find that there is on average a linear relationship between the HMB and the geomagnetic indices, as well asn, which breaks when the HMB is located at latitudes below ∼50° due to the low observational density. Whilstnis important in constraining the maps (maps withn> 400 data points are unlikely to differ), it is insufficient as the sole measure of quality.
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