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Dataset on extreme thunderstorm ground enhancements registered on Aragats in 2023.
Chilingarian, A; Karapetyan, T; Sargsyan, B; Aslanyan, D; Chilingaryan, S.
Afiliación
  • Chilingarian A; Alikhanyan National Laboratory (Yerevan Physics Institute), Yerevan 0036, Armenia.
  • Karapetyan T; Alikhanyan National Laboratory (Yerevan Physics Institute), Yerevan 0036, Armenia.
  • Sargsyan B; Alikhanyan National Laboratory (Yerevan Physics Institute), Yerevan 0036, Armenia.
  • Aslanyan D; Alikhanyan National Laboratory (Yerevan Physics Institute), Yerevan 0036, Armenia.
  • Chilingaryan S; Alikhanyan National Laboratory (Yerevan Physics Institute), Yerevan 0036, Armenia.
Data Brief ; 54: 110554, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38882191
ABSTRACT
To advance high-energy atmospheric physics, studying atmospheric electric fields (AEF) and cosmic ray fluxes as an interconnected system is crucial. At Mt. Argats, simultaneous measurements of particle fluxes, electric fields, weather conditions, and lightning locations have significantly enhanced the validation of models that describe the charge structures of thunderclouds and the mechanics of internal electron accelerators. In 2023, observations of the five largest thunderstorm ground enhancements (TGEs) revealed electric fields exceeding 2.0 kV/cm at elevations just tens of meters above ground-potentially hazardous to rockets and aircraft during launch and charging operations. Utilizing simple yet effective monitoring equipment developed at Aragats, we can mitigate the risks posed by these high-intensity fields. The Mendeley dataset, comprising various measured parameters during thunderstorm activities, enables researchers to perform advanced correlation analysis and uncover complex relationships between these atmospheric phenomena. This study underscores the critical importance of integrated atmospheric studies for ensuring the safety of high-altitude operations and advancing atmospheric science.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Data Brief / Data in brief Año: 2024 Tipo del documento: Article País de afiliación: Armenia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Data Brief / Data in brief Año: 2024 Tipo del documento: Article País de afiliación: Armenia