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首页> 外文期刊>Annales Geophysicae >Statistical analysis on spatial correlation of ionospheric day-to-day variability by using GPS and Incoherent Scatter Radar observations
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Statistical analysis on spatial correlation of ionospheric day-to-day variability by using GPS and Incoherent Scatter Radar observations

机译:利用GPS和非相干散射雷达观测资料对电离层日常变化的空间相关性进行统计分析

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In this paper, the spatial correlations of ionospheric day-to-dayvariability are investigated by statistical analysis on GPS and IncoherentScatter Radar observations. The meridional correlations show significant(>0.8) correlations in the latitudinal blocks of about 6 degrees size onaverage. Relative larger correlations of TEC's day-to-day variabilities canbe found between magnetic conjugate points, which may be due to thegeomagnetic conjugacy of several factors for the ionospheric day-to-dayvariability. The correlation coefficients between geomagnetic conjugatepoints have an obvious decrease around the sunrise and sunset time at the upperlatitude (60°) and their values are bigger between the winter and summerhemisphere than between the spring and autumn hemisphere. The time delay ofsunrise (sunset) between magnetic conjugate points with a high dip latitude isa probable reason. Obvious latitude and local time variations of meridionalcorrelation distance, latitude variations of zonal correlation distance, andaltitude and local time variations of vertical correlation distance aredetected. Furthermore, there are evident seasonal variations of meridionalcorrelation distance at higher latitudes in the Northern Hemisphere and localtime variations of zonal correlation distance at higher latitudes in theSouthern Hemisphere. These variations can generally be interpreted by thevariations of controlling factors, which may have different spatial scales.The influences of the occurrence of ionospheric storms could not be ignored.Further modeling and data analysis are needed to address this problem. Wesuggest that our results are useful in the specific modeling/forecasting ofionospheric variability and the constructing of a background covariance matrixin ionospheric data assimilation.
机译:本文通过GPS和IncoherentScatter Radar观测资料的统计分析研究了电离层日常变化的空间相关性。经线相关性在平均约6度的纬度块中显示显着(> 0.8)相关性。可以在磁共轭点之间发现TEC日常变化的相对较大的相关性,这可能是由于电离层日常变化的几个因素的地磁共轭所致。地磁共轭点之间的相关系数在上纬度(60°)处的日出和日落时间附近明显减少,并且其值在冬季和夏季半球之间大于在春季和秋季半球之间。倾角高的磁共轭点之间的日出(日落)时间延迟可能是原因。检测到子午相关距离的明显纬度和局部时间变化,纬向相关距离的纬度变化以及垂直相关距离的纬度和局部时间变化。此外,北半球较高纬度的子午相关距离有明显的季节性变化,而南半球较高纬度的子午相关距离有局部时空变化。这些变化通常可以通过控制因素的变化来解释,这些因素可能具有不同的空间尺度。电离层风暴的发生的影响不容忽视,需要进一步的建模和数据分析来解决这个问题。我们建议我们的结果可用于电离层变化的特定建模/预测以及电离层数据同化中背景协方差矩阵的构建。

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