Volume 42 Issue 3
Jun.  2022
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YU Jiabin, TONG Jizhou, FANG Shaofeng, HU Xiaoyan. Transfer Entropy Approach to Discovering the Ranking of Solar Wind Drivers to Geomagnetic Storm (in Chinese). Chinese Journal of Space Science, 2022, 42(3): 346-356. DOI: 10.11728/cjss2022.03.210406045
Citation: YU Jiabin, TONG Jizhou, FANG Shaofeng, HU Xiaoyan. Transfer Entropy Approach to Discovering the Ranking of Solar Wind Drivers to Geomagnetic Storm (in Chinese). Chinese Journal of Space Science, 2022, 42(3): 346-356. DOI: 10.11728/cjss2022.03.210406045

Transfer Entropy Approach to Discovering the Ranking of Solar Wind Drivers to Geomagnetic Storm

doi: 10.11728/cjss2022.03.210406045
  • Received Date: 2021-04-06
  • Accepted Date: 2021-05-19
  • Rev Recd Date: 2022-01-29
  • Available Online: 2022-05-23
  • Geomagnetic storm is an important disaster event in space weather, which can affect satellite orbit and ground power system. At present, in the solar wind-magnetosphere system, most studies focus on the linear relationships analyzed by the correlation coefficient. However, transfer entropy can provide powerful model-free directed statistics, which can be used to analyze non-linear relationships that cannot be detected by traditional correlation analysis and model hypothesis. The hourly resolution data of solar activity cycle 23 and 24 were used to analyze the large time scale. The information transmission of solar wind and geomagnetic has a bimodal distribution, which is consistent with the solar activity level. Using the minute resolution data of 93 geomagnetic storms from 2010 to 2018 for small time scale analysis, the results show that E, ${{\rm{IMF}}B}_{z}$ have strong information transmission to the geomagnetic Sym-H parameter when the time delay is 60 minutes, while $ {v}_{\mathrm{s}\mathrm{w}} $, $ {T}_{\mathrm{s}\mathrm{w}} $, $ {D}_{\mathrm{s}\mathrm{w}} $, B, $ {P}_{\mathrm{s}\mathrm{w}} $ are lower. It provides the basis for parameter selection and prediction range determination for solar wind-geomagnetic model construction.

     

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