Deducing storm time F region ionospheric dynamics from 3‐D time‐varying imaging
Deducing storm time F region ionospheric dynamics from 3‐D time‐varying imaging
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从 3D 时变成像推导风暴时间 F 区电离层动力学
DOI：
10.1029/2010ja016304
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发表时间：
2011
影响因子：
--
通讯作者：
G. Crowley
中科院分区：
文献类型：
--
作者：
S. Datta‐Barua;G. Bust;G. Crowley
[1]从电离层逆向工程（EMPIRE）估计模型参数的反演算法已经创建，以深入了解电离层动态，特别是当直接测量不可用时。我们扩展了EMPIRE的功能，以证明其对从真实的数据中获得的密度的有效性。我们将这种方法应用于真实的电离层数据同化四维（IDA4D）数据的风暴时间测量，侧重于中纬度F2层。EMPIRE用于估计中纬度场向和场垂直漂移。估计向上漂移从EMPIRE验证对测量获得的Millstone山非相干散射雷达天顶天线。水平×漂移与电离层电动力学同化映射（AMIE）模型进行了比较，AMIE模型估计来自独立于IDA4D中使用的数据源的漂移。结果表明，×漂移的方向和幅度（以及电场）可以从主要基于总电子含量数据的成像中推断出来，尽管高度变化并不明显。我们还指出，风暴增强密度的初始隆起可能受到中性风和扩散的场向贡献的影响比电场更大。
[1] The inversion algorithm for Estimating Model Parameters from Ionospheric Reverse Engineering (EMPIRE) has been created to gain insight into ionospheric dynamics, particularly when direct measurement is unavailable. We extend the capabilities of EMPIRE here, in order to demonstrate its effectiveness on densities obtained from real data. We apply this method to real Ionospheric Data-Assimilation 4-Dimensional (IDA4D) data from storm time measurements, focusing on the midlatitude F2 layer. EMPIRE is used to estimate midlatitude field-aligned and field-perpendicular drifts. The estimated upward drifts from EMPIRE are validated against measurements obtained from the Millstone Hill incoherent scatter radar zenith antenna. The horizontal × drifts are compared to the assimilative mapping of ionospheric electrodynamics (AMIE) model, which estimates drifts from data sources independent of those used in IDA4D. Results show that the direction and magnitude of the × drifts (and therefore the electric fields) may be deduced from imaging based primarily on total electron content data, although altitude variation is not significantly discernible. We also indicate that the initial uplift of the storm-enhanced density may have been more strongly influenced by field-aligned contributions of neutral winds and diffusion than the electric fields.