A Lightning Warning Algorithm Using a EFMs Network and LPS

Junchi, Z, Z. Qingfeng, A. B. Shah, J. Xue, Z. Ye


In this work, an Electric Filed Mills (EFMs) network and Lightning Positioning System (LPS) data during June, July and August of 2013&2014, were chosen and processed for lightning warning. We set a region of 10km radius from the EFM sites as the Area Of Concern (AOC), and a second region extending 20km outward, as the Warning Area (WA). Electric field (EF) was smoothed using a running average of a particular number of samples to lessen the effect of rapid vibration. A warning is triggered if one of the following condition is met:

1) Lightning occurs within the WA and at least one of the field values is above a threshold,

2) Both field values are above threshold,

3) Lightning occurs within the AOC.

The result showed that our algorithms performed better than the method using lightning data alone, and that an EF threshold of 4kV/m and a smoothing window of 30sec turned out to be the best combination in most conditions.

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