Volume 42 Issue 3
Jun.  2022
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ZHANG Hanke, SHEN Fang. Application of Data Assimilation in Space Weather (in Chinese). Chinese Journal of Space Science, 2022, 42(3): 422-436. DOI: 10.11728/cjss2022.03.210611069
Citation: ZHANG Hanke, SHEN Fang. Application of Data Assimilation in Space Weather (in Chinese). Chinese Journal of Space Science, 2022, 42(3): 422-436. DOI: 10.11728/cjss2022.03.210611069

Application of Data Assimilation in Space Weather

doi: 10.11728/cjss2022.03.210611069
  • Received Date: 2021-06-08
  • Accepted Date: 2021-10-29
  • Rev Recd Date: 2022-03-01
  • Available Online: 2022-05-24
  • Space weather events caused by solar activities such as flares and Coronal Mass Ejections (CMEs) can affect the magnetosphere of the Earth, the middle and upper atmosphere, ionosphere, the safety of satellite operation and human health directly or indirectly. Therefore, the prediction of space weather events is particularly important. In the case of sparse observation and asynchronous sampling, data assimilation can increase the prediction ability of the model, self-consistent analysis of model variables can be carried out, and the introduction of data assimilation method in numerical prediction can improve the reliability of the prediction. This paper mainly introduces the application of data assimilation in the atmosphere, ionosphere, magnetosphere, the Sun and other planets from the perspective of data assimilation methods. The potential applications of data assimilation in space weather in the future are also discussed.

     

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