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Wavelet‐based analysis and power law classification of C/NOFS high‐resolution electron density data
| Content Provider | Semantic Scholar |
|---|---|
| Author | Rino, Charles L. Carrano, Charles S. Roddy, Patrick A. |
| Copyright Year | 2014 |
| Abstract | 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. |
| Starting Page | 680 |
| Ending Page | 688 |
| Page Count | 9 |
| File Format | PDF HTM / HTML |
| DOI | 10.1002/2013RS005272 |
| Volume Number | 49 |
| Alternate Webpage(s) | https://chuckrino.com/wp-content/uploads/2018/08/Rino_et_al-2014-Radio_Science.pdf |
| Alternate Webpage(s) | https://doi.org/10.1002/2013RS005272 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
