Environments Associated With Lightning Occurrence Based on Pre‐ and Post‐Convective Rawinsonde Measurements in Central Europe

Abstract Rawinsonde measurements from Central Europe were evaluated to investigate environments associated with lightning. The study compared lightning and non‐lightning profiles, pre‐ and post‐convective profiles, and varying lightning flash rates. In total, 137,501 quality‐controlled measurements from 2006 to 2018 were used, along with 327 convective parameters. Their performance was evaluated using the area under the curve (AUC). The Lifted Index (LI) and its effective version (LI_eff) are the most robust predictors of lightning. Other useful parameters are CAPE in a hail growth zone (CAPE_HGL), cold cloud depth (Cold_layer), and equilibrium level temperature and height (EL_tmp, EL_hgt). 1–4 km relative humidity (RH_14 km) is important for thunderstorm development in warm environments, while in the cold season lightning is associated with stronger atmospheric flow. Most thunderstorms form with CIN greater than −100 J kg −1 . Non‐lightning but unstable profiles show limited instability in the convective cloud layer below −10°C, highlighting the role of buoyancy in subfreezing temperatures.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-02-16
DOI
https://doi.org/10.1029/2025gl119901
Primary Topic
Lightning and Electromagnetic Phenomena
Type
article
Field-Weighted Citation Impact
0.00

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article

Environments Associated With Lightning Occurrence Based on Pre‐ and Post‐Convective Rawinsonde Measurements in Central Europe

Mateusz Taszarek, Patryk Matczak, Adrian Sobisiak, Leszek Kolendowicz
Geophysical Research Letters
Lightning and Electromagnetic Phenomena
article

Environments Associated With Lightning Occurrence Based on Pre‐ and Post‐Convective Rawinsonde Measurements in Central Europe

Mateusz Taszarek, Patryk Matczak, Adrian Sobisiak, Leszek Kolendowicz
article en

Abstract

Abstract Rawinsonde measurements from Central Europe were evaluated to investigate environments associated with lightning. The study compared lightning and non‐lightning profiles, pre‐ and post‐convective profiles, and varying lightning flash rates. In total, 137,501 quality‐controlled measurements from 2006 to 2018 were used, along with 327 convective parameters. Their performance was evaluated using the area under the curve (AUC). The Lifted Index (LI) and its effective version (LI_eff) are the most robust predictors of lightning. Other useful parameters are CAPE in a hail growth zone (CAPE_HGL), cold cloud depth (Cold_layer), and equilibrium level temperature and height (EL_tmp, EL_hgt). 1–4 km relative humidity (RH_14 km) is important for thunderstorm development in warm environments, while in the cold season lightning is associated with stronger atmospheric flow. Most thunderstorms form with CIN greater than −100 J kg −1 . Non‐lightning but unstable profiles show limited instability in the convective cloud layer below −10°C, highlighting the role of buoyancy in subfreezing temperatures.

Geophysical Research LettersVol. 53(4)
SKA Polska (Poland) (PL), Adam Mickiewicz University in Poznań (PL)
Met Office
Openalex Percentile: Top 52%
Lightning and Electromagnetic Phenomena
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Environments Associated With Lightning Occurrence Based on Pre‐ and Post‐Convective Rawinsonde Measurements in Central Europe — Mateusz Taszarek, Patryk Matczak, et al. · Geophysical Research Letters (2026) | TGRS Research Map | TGRS