Volume 37 Issue 3
May  2017
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ZHAO Yuxin, MAO Tian, CHEN Zhou, WANG Jingsong. Ionospheric Weather Disturbance Indices Based on Spectral Whitening[J]. Chinese Journal of Space Science, 2017, 37(3): 270-276. doi: 10.11728/cjss2017.03.270
Citation: ZHAO Yuxin, MAO Tian, CHEN Zhou, WANG Jingsong. Ionospheric Weather Disturbance Indices Based on Spectral Whitening[J]. Chinese Journal of Space Science, 2017, 37(3): 270-276. doi: 10.11728/cjss2017.03.270

Ionospheric Weather Disturbance Indices Based on Spectral Whitening

doi: 10.11728/cjss2017.03.270
  • Received Date: 2016-01-15
  • Rev Recd Date: 2016-03-18
  • Publish Date: 2017-05-15
  • A Spectral Whitening Method (SWM) is introduced and applied in the study of ionospheric weather disturbances to calculate Js, Jr and Jp indices on the basis of Total Electron Content (TEC) data provided by IGS. These indices can reflect the disturbances of ionospheric weather of single station, latitude circle (integral along longitude) and the whole planet separately. During a geomagnetic storm in March 2015, all three indices well reflect the ionospheric disturbances. The correlation coefficient between Jp and Dst indices reaches -0.72, and the 2D images of ionospheric disturbances can be well captured by Js map. The correlation coefficient between Jp index and Dst index, from 2011 to 2014, reaches -0.67 if Jp is greater than or equal to 2, and the correlation coefficient can reach -0.87 if Jp is greater than or equal to 3. By analyzing the frequencies of different levels of geomagnetic storms under different threshold values of Jp index, the results suggest that Jp index, as a possible characterization parameter of ionospheric weather condition, can well reflect planetary ionospheric disturbances during geomagnetic storms.

     

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