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

Authors

DOI:

https://doi.org/10.5902/2179460X31788

Keywords:

Lightning, Thunderstorm, Atmospheric patterns

Abstract

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.

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Author Biographies

Vanessa Gehm Rodrigues, Universidade Federal de Santa Maria - UFSM, Santa Maria, RS, Brasil

Possui graduação em Meteorologia pela Universidade Federal de Santa Maria (2017)

Everson Dal Piva, Universidade Federal de Santa Maria - UFSM, Santa Maria, RS, Brasil

Professor de nivel superior na Universidade Federal de Santa Maria

Franciano Scremin Puhales, Universidade Federal de Santa Maria - UFSM, Santa Maria, RS, Brasil

Docente do Departamento de Física da Universidade Federal de Santa Maria

Vagner Anabor, Universidade Federal de Santa Maria - UFSM, Santa Maria, RS, Brasil

Professor nos cursos de Graduação e Pós-Graduação em Meteorologia da Universidade Federal de Santa Maria

References

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Published

2018-03-27

How to Cite

Rodrigues, V. G., Piva, E. D., Puhales, F. S., & Anabor, V. (2018). Synoptic patterns for days with intense atmospheric electrical activity from 2013 to 2015. Ciência E Natura, 40, e45. https://doi.org/10.5902/2179460X31788

Issue

Section

Meteorology

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