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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 16, issue 2 | Copyright
Nat. Hazards Earth Syst. Sci., 16, 607-616, 2016
https://doi.org/10.5194/nhess-16-607-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 02 Mar 2016

Research article | 02 Mar 2016

The European lightning location system EUCLID – Part 2: Observations

Dieter Roel Poelman1, Wolfgang Schulz2, Gerhard Diendorfer2, and Marina Bernardi3 Dieter Roel Poelman et al.
  • 1Royal Meteorological Institute of Belgium, Brussels, Belgium
  • 2OVE-ALDIS, Vienna, Austria
  • 3CESI – Centro Elettrotecnico Sperimentale Italiano spa, Milan, Italy

Abstract. Cloud-to-ground (CG) lightning data from the European Cooperation for Lightning Detection (EUCLID) network over the period 2006–2014 are explored. Mean CG flash densities vary over the European continent, with the highest density of about 6km−2yr−1 found at the intersection of the borders between Austria, Italy and Slovenia. The majority of lightning activity takes place between May and September, accounting for 85% of the total observed CG activity. Furthermore, the thunderstorm season reaches its highest activity in July, while the diurnal cycle peaks around 15:00UTC. A difference between CG flashes over land and sea becomes apparent when looking at the peak current estimates. It is found that flashes with higher peak currents occur in greater proportion over sea than over land.

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Cloud-to-ground lightning data from the EUCLID network over the period 2006–2014 are explored. Mean flash densities vary over the European continent, with the highest density found at the intersection of the borders of Austria, Italy and Slovenia. The majority of lightning activity takes place between May and September, while the diurnal cycle peaks around 15:00 UTC. In addition, it is found that flashes with higher peak currents occur in greater proportion over sea than over land.
Cloud-to-ground lightning data from the EUCLID network over the period 2006–2014 are explored....
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