Statistical analysis on spatial correlation of ionospheric day-to-day variability by using GPS and Incoherent Scatter Radar observations
Statistical analysis on spatial correlation of ionospheric day-to-day variability by using GPS and Incoherent Scatter Radar observations
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利用 GPS 和非相干散射雷达观测对电离层日变化空间相关性进行统计分析
DOI：
10.5194/angeo-25-1815-2007
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发表时间：
2007-08
影响因子：
1.9
通讯作者：
T. Mao
中科院分区：
文献类型：
--
作者：
W. Wan;X. Yue;L. Liu;T. Mao
抽象。本文通过对GPS和非相干散射雷达观测资料的统计分析，研究了电离层逐日变化的空间相关性。纬向相关系数在平均约6度的纬向块体中表现出显著的相关性（>0.8）。在磁共轭点之间，TEC的日变率具有较大的相关性，这可能是由于电离层日变率的几个因素的地磁共轭性造成的。在高纬度（60°），地磁共枕点间的相关系数在日出和日落前后明显减小，冬、夏半球间的相关系数大于春、秋半球间的相关系数。高倾角纬度磁共轭点之间的日出（日落）时间延迟是一个可能的原因。纬向相关距离、纬向相关距离、垂直相关距离的纬度和当地时间变化明显。此外，在北方半球高纬度地区纬向相关距离存在明显的季节变化，在南半球高纬度地区纬向相关距离存在明显的局地时变化。这些变化通常可以解释为控制因素的变化，这些因素可能具有不同的空间尺度。电离层风暴的影响不容忽视。需要进一步的建模和数据分析来解决这个问题。我们建议，我们的研究结果是有用的电离层变化的具体建模/预报和电离层数据同化背景协方差矩阵的构建。
Abstract. In this paper, the spatial correlations of ionospheric day-to-day variability are investigated by statistical analysis on GPS and Incoherent Scatter Radar observations. The meridional correlations show significant (>0.8) correlations in the latitudinal blocks of about 6 degrees size on average. Relative larger correlations of TEC's day-to-day variabilities can be found between magnetic conjugate points, which may be due to the geomagnetic conjugacy of several factors for the ionospheric day-to-day variability. The correlation coefficients between geomagnetic conjugate points have an obvious decrease around the sunrise and sunset time at the upper latitude (60°) and their values are bigger between the winter and summer hemisphere than between the spring and autumn hemisphere. The time delay of sunrise (sunset) between magnetic conjugate points with a high dip latitude is a probable reason. Obvious latitude and local time variations of meridional correlation distance, latitude variations of zonal correlation distance, and altitude and local time variations of vertical correlation distance are detected. Furthermore, there are evident seasonal variations of meridional correlation distance at higher latitudes in the Northern Hemisphere and local time variations of zonal correlation distance at higher latitudes in the Southern Hemisphere. These variations can generally be interpreted by the variations 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. We suggest that our results are useful in the specific modeling/forecasting of ionospheric variability and the constructing of a background covariance matrix in ionospheric data assimilation.
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影响因子：
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作者：
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通讯作者：
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DOI：
10.1016/s1364-6826(01)00036-0
发表时间：
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影响因子：
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