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Influence of the North Atlantic Oscillation on annual spatio-temporal lightning clusters in western and central Europe

Augenstein, Markus 1; Mohr, Susanna ORCID iD icon 1,2; Kunz, Michael ORCID iD icon 1,2
1 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)
2 Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruher Institut für Technologie (KIT)

Abstract:

Based on lightning measurements in western and central Europe from 2001 to 2021 (May–August), a grid-based climatology and trend analysis of thunderstorm activity has been developed. The results indicate a significant decrease in thunderstorm activity in many regions. Extending the analysis beyond a purely grid-based approach, areas with spatio-temporal intense lightning (convective clustered events, CCEs) were identified in a second step by applying a clustering algorithm (Spatio-Temporal Density-Based Spatial Clustering of Applications with Noise, ST-DBSCAN). For this purpose, a methodology is presented which seeks out to determine an appropriate density definition, as required by ST-DBSCAN.

An analysis of the characteristics of the CCEs indicates a slight increase of smaller, more separated clusters, while larger clusters occur less frequently over time. This suggests a shift in the mesoscale organization of convective systems. Furthermore, a correlation between the North Atlantic Oscillation (NAO) and thunderstorm frequency has been identified. Notably, there was a pronounced reduction of thunderstorm activity, as well as an increased number of separated convective systems during negative NAO phases in France. ... mehr


Volltext §
DOI: 10.5445/IR/1000176319
Veröffentlicht am 18.11.2024
Originalveröffentlichung
DOI: 10.5194/egusphere-2024-2804
Cover der Publikation
Zugehörige Institution(en) am KIT Center for Disaster Management and Risk Reduction Technology (CEDIM)
Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2024
Sprache Englisch
Identifikator KITopen-ID: 1000176319
HGF-Programm 12.11.35 (POF IV, LK 01) Tailored information for users and stakeholders
Weitere HGF-Programme 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Verlag Copernicus
Projektinformation ClimXtreme_Modul-A (BMBF, 01LP1901A)
Vorab online veröffentlicht am 14.11.2024
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