Analyze thunderstorm events based on the experimental data from LHAASO-WCDA

Thunderstorms are intense localized convective weather phenomena, typically accompanied by strong lightning, high-energy electromagnetic radiation, and dramatic variations in atmospheric electric fields (AEF). Terrestrial Gamma-ray Flashes (TGFs) and Thunderstorm Ground Enhancements (TGE) represent high-energy radiation phenomena generated during thunderstorms. The extreme electric field (EF) fluctuations triggered by thunderstorm activity (peaking at -1700 V/cm) can modify the propagation of secondary cosmic particles, altering their arrival times, spatial distributions, and energy spectra at ground level. The Large High Altitude Air Shower Observatory (LHAASO), located in Daocheng County, Sichuan Province, China – a thunderstorm-prone region – hosts the Water Cherenkov Detector Array (WCDA) comprising 3,120 tightly packed detectors covering 78,000 m², with a cosmic ray event detection threshold of 100 GeV. Data analysis from March 2021 to December 2024 reveals a maximum event rate reduction of 20% during thunderstorms in WCDA observations, exhibiting distinct anisotropic characteristics: systematic discrepancies in reduction magnitude across different azimuthal and zenith angles, with spatial distributions demonstrating temporal evolution as storms develop. Energy-dependent analysis shows more pronounced event rate reductions in the lower energy range (<300 GeV) compared to higher energies (>1 TeV). This paper synthesizes the findings from three years of LHAASO-WCDA cosmic ray data analysis during thunderstorms and discusses potential underlying mechanisms for these anomalies, including EF modulation of particle transport and possible thunderstorm-induced atmospheric shielding effects.

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Publication Details

Published
2025-09-23
DOI
https://doi.org/10.22323/1.501.0318
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
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article

Analyze thunderstorm events based on the experimental data from LHAASO-WCDA

Cheng Liu
Meteorological Phenomena and Simulations
article

Analyze thunderstorm events based on the experimental data from LHAASO-WCDA

Cheng Liu
article en

Abstract

Thunderstorms are intense localized convective weather phenomena, typically accompanied by strong lightning, high-energy electromagnetic radiation, and dramatic variations in atmospheric electric fields (AEF). Terrestrial Gamma-ray Flashes (TGFs) and Thunderstorm Ground Enhancements (TGE) represent high-energy radiation phenomena generated during thunderstorms. The extreme electric field (EF) fluctuations triggered by thunderstorm activity (peaking at -1700 V/cm) can modify the propagation of secondary cosmic particles, altering their arrival times, spatial distributions, and energy spectra at ground level. The Large High Altitude Air Shower Observatory (LHAASO), located in Daocheng County, Sichuan Province, China – a thunderstorm-prone region – hosts the Water Cherenkov Detector Array (WCDA) comprising 3,120 tightly packed detectors covering 78,000 m², with a cosmic ray event detection threshold of 100 GeV. Data analysis from March 2021 to December 2024 reveals a maximum event rate reduction of 20% during thunderstorms in WCDA observations, exhibiting distinct anisotropic characteristics: systematic discrepancies in reduction magnitude across different azimuthal and zenith angles, with spatial distributions demonstrating temporal evolution as storms develop. Energy-dependent analysis shows more pronounced event rate reductions in the lower energy range (<300 GeV) compared to higher energies (>1 TeV). This paper synthesizes the findings from three years of LHAASO-WCDA cosmic ray data analysis during thunderstorms and discusses potential underlying mechanisms for these anomalies, including EF modulation of particle transport and possible thunderstorm-induced atmospheric shielding effects.

Chinese Academy of Sciences
Openalex Percentile: Top 69%
Meteorological Phenomena and Simulations
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Analyze thunderstorm events based on the experimental data from LHAASO-WCDA — Cheng Liu · (2025) | TGRS Research Map | TGRS