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

Thunderstorm characteristics with lightning jumps and dives in satellite-based nowcasting
Felix Erdmann and Dieter Roel Poelman
EGUsphere, https://doi.org/10.5194/egusphere-2024-174,https://doi.org/10.5194/egusphere-2024-174, 2024
Short summary
Insights into ground strike point properties in Europe through the EUCLID Lightning Location System
Dieter Roel Poelman, Hannes Kohlmann, and Wolfgang Schulz
EGUsphere, https://doi.org/10.5194/egusphere-2024-18,https://doi.org/10.5194/egusphere-2024-18, 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
Application of the teaching–learning-based optimization algorithm to an analytical model of thunderstorm outflows to analyze the variability of the downburst kinematic and geometric parameters
Andi Xhelaj and Massimiliano Burlando
Nat. Hazards Earth Syst. Sci., 24, 1657–1679, https://doi.org/10.5194/nhess-24-1657-2024,https://doi.org/10.5194/nhess-24-1657-2024, 2024
Short summary
Projections and uncertainties of winter windstorm damage in Europe in a changing climate
Luca G. Severino, Chahan M. Kropf, Hilla Afargan-Gerstman, Christopher Fairless, Andries Jan de Vries, Daniela I. V. Domeisen, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 24, 1555–1578, https://doi.org/10.5194/nhess-24-1555-2024,https://doi.org/10.5194/nhess-24-1555-2024, 2024
Short summary
Improving seasonal predictions of German Bight storm activity
Daniel Krieger, Sebastian Brune, Johanna Baehr, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 1539–1554, https://doi.org/10.5194/nhess-24-1539-2024,https://doi.org/10.5194/nhess-24-1539-2024, 2024
Short summary
A satellite view of the exceptionally warm summer of 2022 over Europe
João P. A. Martins, Sara Caetano, Carlos Pereira, Emanuel Dutra, and Rita M. Cardoso
Nat. Hazards Earth Syst. Sci., 24, 1501–1520, https://doi.org/10.5194/nhess-24-1501-2024,https://doi.org/10.5194/nhess-24-1501-2024, 2024
Short summary
Demographic yearbooks as a source of weather-related fatalities: the Czech Republic, 1919–2022
Rudolf Brázdil, Kateřina Chromá, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 1437–1457, https://doi.org/10.5194/nhess-24-1437-2024,https://doi.org/10.5194/nhess-24-1437-2024, 2024
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.
Altmetrics
Final-revised paper
Preprint