Articles | Volume 16, issue 2
https://doi.org/10.5194/nhess-16-607-2016
https://doi.org/10.5194/nhess-16-607-2016
Research article
 | 
02 Mar 2016
Research article |  | 02 Mar 2016

The European lightning location system EUCLID – Part 2: Observations

Dieter Roel Poelman, Wolfgang Schulz, Gerhard Diendorfer, and Marina Bernardi

Related authors

Insights into thunderstorm characteristics from geostationary lightning jump and dive observations
Felix Erdmann and Dieter Roel Poelman
Nat. Hazards Earth Syst. Sci., 25, 1751–1768, https://doi.org/10.5194/nhess-25-1751-2025,https://doi.org/10.5194/nhess-25-1751-2025, 2025
Short summary
Insights into ground strike point properties in Europe through the EUCLID lightning location system
Dieter Roel Poelman, Hannes Kohlmann, and Wolfgang Schulz
Nat. Hazards Earth Syst. Sci., 24, 2511–2522, https://doi.org/10.5194/nhess-24-2511-2024,https://doi.org/10.5194/nhess-24-2511-2024, 2024
Short summary
Global ground strike point characteristics in negative downward lightning flashes – Part 1: Observations
Dieter R. Poelman, Wolfgang Schulz, Stephane Pedeboy, Dustin Hill, Marcelo Saba, Hugh Hunt, Lukas Schwalt, Christian Vergeiner, Carlos T. Mata, Carina Schumann, and Tom Warner
Nat. Hazards Earth Syst. Sci., 21, 1909–1919, https://doi.org/10.5194/nhess-21-1909-2021,https://doi.org/10.5194/nhess-21-1909-2021, 2021
Short summary
Global ground strike point characteristics in negative downward lightning flashes – Part 2: Algorithm validation
Dieter R. Poelman, Wolfgang Schulz, Stephane Pedeboy, Leandro Z. S. Campos, Michihiro Matsui, Dustin Hill, Marcelo Saba, and Hugh Hunt
Nat. Hazards Earth Syst. Sci., 21, 1921–1933, https://doi.org/10.5194/nhess-21-1921-2021,https://doi.org/10.5194/nhess-21-1921-2021, 2021
Short summary
Comparing lightning observations of the ground-based European lightning location system EUCLID and the space-based Lightning Imaging Sensor (LIS) on the International Space Station (ISS)
Dieter R. Poelman and Wolfgang Schulz
Atmos. Meas. Tech., 13, 2965–2977, https://doi.org/10.5194/amt-13-2965-2020,https://doi.org/10.5194/amt-13-2965-2020, 2020
Short summary

Related subject area

Atmospheric, Meteorological and Climatological Hazards
Insights into thunderstorm characteristics from geostationary lightning jump and dive observations
Felix Erdmann and Dieter Roel Poelman
Nat. Hazards Earth Syst. Sci., 25, 1751–1768, https://doi.org/10.5194/nhess-25-1751-2025,https://doi.org/10.5194/nhess-25-1751-2025, 2025
Short summary
The unique features in the 4 d widespread extreme rainfall event over North China in July 2023
Jinfang Yin, Feng Li, Mingxin Li, Rudi Xia, Xinghua Bao, Jisong Sun, and Xudong Liang
Nat. Hazards Earth Syst. Sci., 25, 1719–1735, https://doi.org/10.5194/nhess-25-1719-2025,https://doi.org/10.5194/nhess-25-1719-2025, 2025
Short summary
Classifying extratropical cyclones and their impact on Finland's electricity grid: insights from 92 damaging windstorms
Ilona Láng-Ritter, Terhi Kristiina Laurila, Antti Mäkelä, Hilppa Gregow, and Victoria Anne Sinclair
Nat. Hazards Earth Syst. Sci., 25, 1697–1717, https://doi.org/10.5194/nhess-25-1697-2025,https://doi.org/10.5194/nhess-25-1697-2025, 2025
Short summary
Evaluation of machine learning approaches for large-scale agricultural drought forecasts to improve monitoring and preparedness in Brazil
Joseph W. Gallear, Marcelo Valadares Galdos, Marcelo Zeri, and Andrew Hartley
Nat. Hazards Earth Syst. Sci., 25, 1521–1541, https://doi.org/10.5194/nhess-25-1521-2025,https://doi.org/10.5194/nhess-25-1521-2025, 2025
Short summary
Soil moisture–atmosphere coupling strength over central Europe in the recent warming climate
Thomas Schwitalla, Lisa Jach, Volker Wulfmeyer, and Kirsten Warrach-Sagi
Nat. Hazards Earth Syst. Sci., 25, 1405–1424, https://doi.org/10.5194/nhess-25-1405-2025,https://doi.org/10.5194/nhess-25-1405-2025, 2025
Short summary

Cited articles

Anderson, G. and Klugmann, D.: A European lightning density analysis using 5 years of ATDnet data, Nat. Hazards Earth Syst. Sci., 14, 815–829, https://doi.org/10.5194/nhess-14-815-2014, 2014.
Antonescu, B. and Burcea, S.: A cloud-to-ground lightning climatology for Romania, Mon. Weather Rev., 138, 579–591, https://doi.org/10.1175/2009MWR2975.1, 2010.
Ballarotti, M. G., Medeiros, C., Saba, M. M. F., Schulz, W., and Pinto Jr., O.: Frequency distributions of some parameters of negative downward lightning flashes based on accurate-stroke-count studies, J. Geophys. Res., 117, D06112, https://doi.org/10.1029/2011JD017135, 2012.
Biagi, C. J., Cummins, K. L. Kehoe, K. E., and Krider, E. P.: National Lightning Detection Network (NLDN) performance in southern Arizona, Texas, and Oklahoma in 2003–2004, J. Geophys. Res., 112, D05208, https://doi.org/10.1029/2006JD007341, 2007.
Blakeslee, R. J., Mach, D. M., Bateman, M. G., and Bailey, J. C.: Seasonal variations in the lightning diurnal cycle and implications for the global electric circuit, Atmos. Res., 135–136, 228–243, 2014.
Download
Short summary
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.
Share
Altmetrics
Final-revised paper
Preprint