Statistical Modeling of the Coupled F -Region Ionosphere-Thermosphere at High Latitude During Polar Darkness
Statistical Modeling of the Coupled F -Region Ionosphere-Thermosphere at High Latitude During Polar Darkness
复制标题
极地黑暗期间高纬度F区电离层-热层耦合的统计模型
DOI：
10.1029/2018ja026171
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Dorrian G
中科院分区：
文献类型：
--
作者：
Dorrian G
已经开发出统计模型来预测耦合的高纬度电离层-热层系统的行为。建模参数包括 F 层峰值电子密度、等离子体结构、离子温度、中性温度以及这些温度之间的差值，这是焦耳热方程中的关键术语。欧洲非相干散射斯瓦尔巴雷达的电离层测量和伦敦大学学院法布里-珀罗干涉仪的中性大气测量已经在整个太阳周期进行了。这些数据都是在夜间条件下获得的，因为法布里-珀罗干涉仪的观测仅限于这样的时间。测试了各种地球物理代理来表示影响建模参数的过程。然后确定每个建模参数的主要地球物理代理。还开发了多变量模型，显示最能解释观察到的变异性的参数组合。与气候学的比较表明，模型在每种情况下都给出了改进，基于均方误差的技能评分高达 0.88。
Statistical models have been developed for predicting the behavior of the coupled high‐latitude ionosphere‐thermosphere system. The modeled parameters were theF‐layer peak electron density, plasma structuring, ion temperature, neutral temperature, and the difference between these temperatures, which is a key term in the Joule heating equation. Ionospheric measurements from the European Incoherent Scatter Svalbard Radar and neutral atmosphere measurements from the colocated University College London Fabry‐Perot Interferometers have been made across a solar cycle. These data were all acquired during nighttime conditions as the observations with the Fabry‐Perot Interferometers are restricted to such times. Various geophysical proxies were tested to represent the processes that influence the modeled parameters. The dominant geophysical proxy for each modeled parameter was then determined. Multivariate models were also developed showing the combinations of parameters that best explained the observed variability. A comparison with climatology showed that the models give an improvement in every case with skill scores based on the mean square error of up to 0.88.