Behavior of corona current and atmospheric variables under thunderstorm conditions: Thunderstorm prediction algorithm

Author

Ariza, D. ; Roman, F. ; Montero, O. ; Escobar, O. ; Santamaria, F.

Author_Institution

EMC-UNC Res. Group, Univ. Nac. de Colombia, Bogota, Colombia

fYear

2012

fDate

2-7 Sept. 2012

Firstpage

1

Lastpage

5

Abstract

In order to develop an algorithm to predict thunderstorms, atmospheric data is continuously recorded in Bogota Colombia, from July to November, 2011. The recorded variables are corona current, natural electric field, atmospheric pressure, ambient temperature and air humidity. From this large amount of recorded data, 22 thunderstorm events are selected to be analyzed in the present paper. The transition of the measured variables from fair weather- to thunderstorm conditions are presented and discussed. The recorded significant changes in the atmospheric data can be used to develop a thunderstorm predicting algorithm.

Keywords

atmospheric pressure; corona; electric field effects; humidity; thunderstorms; weather forecasting; Bogota Colombia; air humidity; ambient temperature; atmospheric data; atmospheric pressure; atmospheric variables; corona current; fair weather; natural electric field; thunderstorm conditions; thunderstorm prediction; Atmospheric measurements; Databases; Electrodes; Humidity; Humidity measurement; Irrigation; Temperature measurement; Corona current; Electric field; Humidity; Neural net; Pressure; Temperatur;

fLanguage

English

Publisher

ieee

Conference_Titel

Lightning Protection (ICLP), 2012 International Conference on

Conference_Location

Vienna

Print_ISBN

978-1-4673-1898-3

Electronic_ISBN

978-1-4673-1896-9

Type

conf

DOI

10.1109/ICLP.2012.6344379

Filename

6344379