Volume 40 Issue 1
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WANG Xin, MIAO Juan, LIU Siqing, REN Tingling. Characteristics Analysis of Thermospheric Density Response during the Different Intensity of Geomagnetic Storms[J]. Chinese Journal of Space Science, 2020, 40(1): 28-41. doi: 10.11728/cjss2020.01.028
Citation: WANG Xin, MIAO Juan, LIU Siqing, REN Tingling. Characteristics Analysis of Thermospheric Density Response during the Different Intensity of Geomagnetic Storms[J]. Chinese Journal of Space Science, 2020, 40(1): 28-41. doi: 10.11728/cjss2020.01.028
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Characteristics Analysis of Thermospheric Density Response during the Different Intensity of Geomagnetic Storms

doi: 10.11728/cjss2020.01.028

  • 1 National Space Science Center, Chinese Academy of Sciences, Beijing 100190;

  • 2 University of Chinese Academy of Sciences, Beijing 100049

  • Received Date: 2018-12-21
  • Rev Recd Date: 2019-03-08
  • Publish Date: 2020-01-15
    Abstract
  • The CHAMP satellite data is used to analyze the characteristics of the thermospheric density during 12 different intensity geomagnetic storm events from 2002 to 2008, and the distribution characteristics of NRLMSISE-00 model during the corresponding magnetic storm events are studied. The results show that during large geomagnetic storms, the time delay of the peak thermospheric density from high latitude to low latitude is 2 hours, while the time delay during medium and small geomagnetic storms is about 3 to 4 hours. The distribution of thermospheric density in spring and autumn is basically symmetric between north and south, while in summer and winter the thermospheric density of summer hemisphere is greater than that in winter hemisphere. The thermospheric density in spring and autumn is greater than that in summer and winter. The thermospheric density obtained by the NRLMSISE-00 simulates well the pattern of the hemispherical distribution and seasonal distribution characteristics, but the simulation is smaller than the measurements. The peak change of Dst index can reflect the change of atmospheric density better than the peak change of ap index.

     

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