Volume 42 Issue 5
Oct.  2022
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LI Lei, SU Jianfeng, CHEN Tao, LI Wen, WANG Shihan, TI Shuo, LUO Jing, SUN Hailong, DONG Wei, WU Wei. Design of a Comprehensive Observation Equipment for Atmospheric Electric Field (in Chinese). Chinese Journal of Space Science, 2022, 42(5): 933-940 doi: 10.11728/cjss2022.05.210824090
Citation: LI Lei, SU Jianfeng, CHEN Tao, LI Wen, WANG Shihan, TI Shuo, LUO Jing, SUN Hailong, DONG Wei, WU Wei. Design of a Comprehensive Observation Equipment for Atmospheric Electric Field (in Chinese). Chinese Journal of Space Science, 2022, 42(5): 933-940 doi: 10.11728/cjss2022.05.210824090

Design of a Comprehensive Observation Equipment for Atmospheric Electric Field

doi: 10.11728/cjss2022.05.210824090
  • Received Date: 2021-08-23
  • Accepted Date: 2022-05-11
  • Rev Recd Date: 2022-06-01
  • Available Online: 2022-09-17
  • The atmospheric electric field is an important parameter in space physics, which can reflect the integrated response of the near-surface atmosphere to meteorological activity, solar activity and geological activity. In this paper, a self-designed and developed integrated atmospheric electric field observation equipment is introduced, which integrates meteorological observation and atmospheric electric field, and can simultaneously measure multiple parameters including temperature, relative humidity, wind speed and atmospheric electric field. The observation results can be used for scientific research on lightning activities, geological hazards, and magnetic storm activities. In this paper, the detection principle, data reception, storage and transmission, and electric field calibration of the integrated atmospheric electric field observation equipment were described, the measured data of the equipment at the Beijing Xialing station has been analyzed , then it was compared with the FAMEMS-DF02 electric field instrument acquired by the National Space Science Center and the meteorological data released by the China Meteorological Network. The results show that the error corresponding to 99% of the moments for each meteorological parameter does not exceed ±10%, and the average error does not exceed ±3%, while the average error of the electric field data is ±0.166 kV·m–1. Finally, error analysis and discussion are conducted for the comparison results.

     

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