Volume 42 Issue 6
Dec.  2022
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LEI Lei, ZHONG Qiuzhen, WANG Jingjing, SHI Liqin, MIAO Juan. Autoregressive Prediction Method of E10.7 Index (in Chinese). Chinese Journal of Space Science, 2022, 42(6): 1060-1067 doi: 10.11728/cjss2022.06.211026107
Citation: LEI Lei, ZHONG Qiuzhen, WANG Jingjing, SHI Liqin, MIAO Juan. Autoregressive Prediction Method of E10.7 Index (in Chinese). Chinese Journal of Space Science, 2022, 42(6): 1060-1067 doi: 10.11728/cjss2022.06.211026107

Autoregressive Prediction Method of E10.7 Index

doi: 10.11728/cjss2022.06.211026107 cstr: 32142.14.cjss2022.06.211026107
  • Received Date: 2021-10-25
  • Accepted Date: 2022-03-09
  • Rev Recd Date: 2022-04-19
  • Available Online: 2022-11-16
  • In response to the demand for the new solar ultraviolet radiation index E10.7 in the operation of upper atmospheric density prediction and orbit prediction, this paper carries out the research on E10.7 index inversion and medium-term prediction based on the integrated solar irradiance from 0.1 to 105 nm provided by TIMED-SEE instrument. The E10.7 index is the radiation flux in the solar spectrum at wavelengths from 0.1 to 105 nm in the same unit as the F10.7 index (sfu, 1 sfu = 10–22 W·m–2·Hz–1). The integrated solar irradiance from 0.1 to 105 nm provided by the TIMED-SEE instrument has the advantages of high time resolution, short delay time, and easy availability. The quasi-real-time E10.7 can be retrieved by least square fitting, and the root mean square error is 5.445 sfu. The average relative error of the next 27 days prediction is 7.83% using the autoregressive model. Using the same method, the 27 days prediction test of the 81-day central moving average of E10.7 is also carried out. The average relative error of the next 27-day predictions of the 81-day central moving average of E10.7 is 3.63%.

     

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