Wavelet‐based analysis and power law classification of C/NOFS high‐resolution electron density data

Wavelet‐based analysis and power law classification of C/NOFS high‐resolution electron density data
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C/NOFS 高分辨率电子密度数据的小波分析和幂律分类

DOI:
10.1002/2013rs005272
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发表时间:
2014
期刊:
影响因子:
1.6
通讯作者:
P. Roddy
P. Roddy
中科院分区:
计算机科学4区
文献类型:
--
作者:
C. Rino;C. Carrano;P. Roddy

文献摘要

被引文献

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本文应用新的小波分析程序低地球轨道卫星测量赤道电离层结构。该分析应用于285个通信/导航中断预报系统(C/NOFS)卫星轨道的高分辨率数据,这些卫星轨道在地磁赤道纬度采样日落后的时期。这些数据是在赤道结构逐渐加强的时期获得的。取样的高度范围从400公里到800公里不等。变化的扫描速度保持在交叉场方向的20°内。时空插值在约8 m处生成均匀样本。确定了支持随机结构表征的最大分段长度。将双组分逆幂律模型拟合到从每个片段导出的标度光谱以及拟合优度测量。从尺度谱中得到的逆幂律参数被用来按类型对尺度谱进行分类。最大的类别的特点是一个单一的反幂律的平均光谱指数略大于2。在大于100公里的尺度上,没有观察到系统偏离逆幂律。在最低采样高度处,干扰最严重的经过的一小部分可以通过双分量幂律谱进行分类,其中断尺度范围从不到100 m到几公里。的背景下,在其他分析的现场数据和光谱特性用于闪烁分析的结果进行了讨论。
This paper applies new wavelet‐based analysis procedures to low Earth‐orbiting satellite measurements of equatorial ionospheric structure. The analysis was applied to high‐resolution data from 285 Communications/Navigation Outage Forecasting System (C/NOFS) satellite orbits sampling the postsunset period at geomagnetic equatorial latitudes. The data were acquired during a period of progressively intensifying equatorial structure. The sampled altitude range varied from 400 to 800 km. The varying scan velocity remained within 20° of the cross‐field direction. Time‐to‐space interpolation generated uniform samples at approximately 8 m. A maximum segmentation length that supports stochastic structure characterization was identified. A two‐component inverse power law model was fit to scale spectra derived from each segment together with a goodness‐of‐fit measure. Inverse power law parameters derived from the scale spectra were used to classify the scale spectra by type. The largest category was characterized by a single inverse power law with a mean spectral index somewhat larger than 2. No systematic departure from the inverse power law was observed to scales greater than 100 km. A small subset of the most highly disturbed passes at the lowest sampled altitudes could be categorized by two‐component power law spectra with a range of break scales from less than 100 m to several kilometers. The results are discussed within the context of other analyses of in situ data and spectral characteristics used for scintillation analyses.