Synoptic patterns for days with intense atmospheric electrical activity from 2013 to 2015

The following study aimed to analyze data from Atmospheric Electric Discharge (AEDs) from the period between 2013 to 2015, with the objective of obtaining atmospheric patterns for the days with the maximum AED detected near the city of Santa Maria, in the state of Rio Grande do Sul. Data from the Sf...

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Detalles Bibliográficos
Autores: Rodrigues, Vanessa Gehm, Piva, Everson Dal, Puhales, Franciano Scremin, Anabor, Vagner
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:Brasil
Institución:Universidade Federal de Santa Maria (UFSM)
Repositorio:Revista Ciência e Natura (Online)
Idioma:inglés
OAI Identifier:oai:ojs.pkp.sfu.ca:article/31788
Acceso en línea:https://periodicos.ufsm.br/cienciaenatura/article/view/31788
Access Level:acceso abierto
Palabra clave:Lightning
Thunderstorm
Atmospheric patterns
Descripción
Sumario:The following study aimed to analyze data from Atmospheric Electric Discharge (AEDs) from the period between 2013 to 2015, with the objective of obtaining atmospheric patterns for the days with the maximum AED detected near the city of Santa Maria, in the state of Rio Grande do Sul. Data from the Sferics Timing and Ranging NETwork (STARNET) have been used. With a FORTRAN routine, a search at the AED data was performed to obtain the daily maximum of AED in an area of 1 ° per 1 ° centered in the city Santa Maria.One day of each year were found with maximum numbers of AEDs.The gridded atmospheric dataset used to dynamic and thermodynamic analysis were the final analysis from the National Centers for Environmental Prediction (NCEP).The main characteristics found were the proximity of the equatorial entrance of the high-level jet streak and the thermodynamics indices indicating moderate-to-high possibility for storm occurrence. This analysis enabled in the atmospheric characterization associated to events with large daily amount of DEAs and can be used to improve forecast.