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 1º per 1º 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.
