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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
25 Sep 2017
Review status
This discussion paper is a preprint. A revision of the manuscript for further review has not been submitted.
An algorithm for estimating the detection efficiency of a lightning location system
Haibo Hu and Xiya Zhang Institute of Urban Meteorology, CMA, Beijing 100089, China
Abstract. This paper puts forward an algorithm for estimating the detection efficiency (DE) of a lightning location system (LLS). The algorithm can be applied to lightning flash/stroke density correction (e.g., cloud-to-ground (CG) lightning flash/stroke density) and LLS performance evaluation. A lightning strike density correction for DE promotes the applicability of the LLS data. Fundamentally, the generalized extreme value (GEV) distribution was found to best fit the probability distribution of the signal strengths of the lightning observed by the ADTD detectors in Beijing, China. With respect to this probability distribution, we estimated the single-station acceptance damped by the uneven underlying land surface conductivity. Accounting for the multi-detector location modes supported by single-station acceptance, the iterative algorithm was applied for deducing the DE of a LLS. In this case study, the DE estimates of the ADTD network were lower in the mountainous areas than in the plains. These lower estimates can be due to the low underlying conductivity of the mountainous areas, which creates a high attenuation effect on the lightning electromagnetic signals, and the greater distances from the lightning detectors. Subsequently, the cloud-to-ground (CG) lightning flash/stroke density derived from the ADTD data was corrected for the DEs. The results indicated that the CG lightning flash/stroke densities in the northern and northwestern mountainous areas are lower than that in the highly urbanized plains. This anomaly is due to the effects of the increased roughness of the underlying land surfaces, enhanced aerosols, urban heat island (UHI), and intensifying thunderstorm activities in urban areas, but this anomaly is not likely related to the DE discrepancy.
Citation: Hu, H. and Zhang, X.: An algorithm for estimating the detection efficiency of a lightning location system, Nat. Hazards Earth Syst. Sci. Discuss.,, in review, 2017.
Haibo Hu and Xiya Zhang
Interactive discussionStatus: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
SC1: 'Reviewer comments', Kenneth Cummins, 27 Nov 2017 Printer-friendly Version Supplement 
RC1: 'NHESS 2017 307 An algorithm ... Hu and Zhang', Anonymous Referee #1, 28 Nov 2017 Printer-friendly Version 
RC2: 'Review', Kenneth Cummins, 01 Dec 2017 Printer-friendly Version Supplement 
RC3: 'Additonal comments', Kenneth Cummins, 04 Jan 2018 Printer-friendly Version 
Haibo Hu and Xiya Zhang
Haibo Hu and Xiya Zhang


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