Volume 41 Issue 3
May  2021
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Article Navigation >  Chinese Journal of Space Science  > 2021  >  41(3): 402-410
CUI Yanmei, LIU Siqing, SHI Liqin. Automatic Recognition of Solar Active Regions Based on Real-time SDO/HMI Full Disk Magnetograms[J]. Chinese Journal of Space Science, 2021, 41(3): 402-410. doi: 10.11728/cjss2021.03.402
Citation: CUI Yanmei, LIU Siqing, SHI Liqin. Automatic Recognition of Solar Active Regions Based on Real-time SDO/HMI Full Disk Magnetograms[J]. Chinese Journal of Space Science, 2021, 41(3): 402-410. doi: 10.11728/cjss2021.03.402
shu

Automatic Recognition of Solar Active Regions Based on Real-time SDO/HMI Full Disk Magnetograms

doi: 10.11728/cjss2021.03.402 cstr: 32142.14.cjss2021.03.402

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

  • 2. Key Laboratory of Science and Technology on Environmental Space Situation Awareness, Chinese Academy of Sciences, Beijing 100190;

  • 3. University of Chinese Academy of Sciences, Beijing 100049

  • Received Date: 2019-09-16
  • Rev Recd Date: 2020-04-29
  • Publish Date: 2021-05-15
    Abstract
  • Solar Active Regions (ARs) are sources of solar powerful eruptions. The characteristics of ARs are important factors for forecasting solar flares. The Space-weather HMI Active Region Patch (SHARP) is one of the key observations to derive physical properties and to develop solar eruption prediction models. Based on the real-time HMI full disk image, by referring to the computational method developed by Ref.[1] which involves intensity thresholding, morphological analysis and region growing. By comparing our results against those results from Solar Region Summary compiled by NOAA/SWPC during the time interval 2010—2018, it is found that the daily numbers of ARs recognized are in good agreement with the SWPC AR numbers, and their corresponding correlation coefficient is 0.87. On the whole, the total number of ARs recognized is less than the corresponding SWPC AR number. Most of the undetected regions are of small areas, weak magnetic fields and simple magnetic type, which can hardly produce any powerful eruptions. Hence, this study can provide real time data of ARs for forecasting of solar eruptions.

     

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