A statistical method for evaluating detection efficiency of lightning location network and its application

Mingli Chen, Dong Zheng, Ya Ping Du, Yijun Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)


A statistical method for evaluating the detection efficiency (DE) of a lightning location network (LLN) has been proposed and examined. In the method, a LLN with a great number of sensors is grouped into sub-networks each with at least 3 sensors. The LLN covered area is divided into cells each with a small size (for instance 20. km × 20. km). The DE for a sensor in a sub-network at a cell is then estimated based on a comparison of the number of lightning strokes detected by at least 3 sensors with that detected by at least 2 sensors in the sub-network at the cell. The method was applied to a LLN in China, which consists of 25 sensors covering an area of about 1350. km × 1030. km. With historical data, the DE for all 25 sensors at different cells was estimated. Results show that the DE varies with different sensors at different distance and azimuth to the sensor, which may reflect the influence of the terrain, installation environment and sensor's parameter setting on the DE of a sensor. The DE of a sensor usually has a low value of 20-50% within 20. km of the sensor, and then gradually increases to a maximum value of 60-80% at 60-120. km, and then gets down to 20-30% at 220-240. km away. The overall DE of the LLN as a whole was also estimated, ranging from 60 to 90% for most of the inner area of the LLN.
Original languageEnglish
Pages (from-to)13-23
Number of pages11
JournalAtmospheric Research
Publication statusPublished - 1 Jul 2013


  • Detection efficiency
  • Lightning location network
  • Return stroke

ASJC Scopus subject areas

  • Atmospheric Science

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