Research Articles

The lightning climatology of South Africa

Morné Gijben
South African Journal of Science | Vol 108, No 3/4 | a740 | DOI: https://doi.org/10.4102/sajs.v108i3/4.740 | © 2012 Morné Gijben | This work is licensed under CC Attribution 4.0
Submitted: 09 May 2011 | Published: 05 March 2012

About the author(s)

Morné Gijben, South African Weather Service, South Africa

Abstract

In 2005, the South African Weather Service installed a state-of-the-art cloud-to-ground lightning detection network across the country. The data recorded by this network in 2006 was utilised in the development of an initial lightning climatology of South Africa. Until 2010, this climatology was based on data from a single year. This paper updates this climatology with the lightning data for the 2006–2010 period, which is the first actual lightning climatology by the South African Weather Service based on data covering 5 years. A number of different maps were created from these lightning data. These were lightning ground flash density, median peak kiloampere, percentage positive and average flash multiplicity maps. These four maps were in turn used to develop lightning intensity risk, positive lightning risk and total lightning risk maps. Analysis of the maps showed that the highest concentrations of lightning are found over the central to northern interior of the country, with areas along the northern parts of the eastern escarpment experiencing the highest flash densities and falling within the extreme risk category. Both the positive and total lightning risks are severe for almost the entire country. Only towards the west of the country does the lightning risk decrease. This lightning climatology can now be used throughout South Africa for various disciplines. It will be especially useful for setting lightning safety standards and identifying priority areas for installing lightning conductors and conducting public awareness campaigns.

Keywords

lightning climatology; lightning flash; lightning detection network; ground flash density; risk map

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