DocumentCode :
3162291
Title :
Lightning forecasting using WRF model over EDP distribution companies areas
Author :
Zepka, Gisele S. ; Saraiva, Antonio C. V. ; Pinto, Osmar ; Gardiman, V.L.G.
Author_Institution :
Atmos. Electr. Group (ELAT), Nat. Inst. for Space Res. (INPE), Sao Jose dos Campos, Brazil
fYear :
2013
fDate :
7-11 Oct. 2013
Firstpage :
255
Lastpage :
260
Abstract :
The lightning forecasting method called Potential Lightning Region (PLR) is a tool that provides the probability of the occurrence of lightning over a region of interest. The definition of the PLR was based on a combination of meteorological variables obtained from high-resolution Weather Research and Forecasting (WRF) model simulations during the summer season in southeastern Brazil. The model parameters used in the PLR calculation were: most unstable Convective Available Potential Energy (mCAPE), K-Index (KI), Total Totals Index (ITT), 700-500 hPa lapse rate of equivalent potential temperature, vertical velocity averaged between 850 hPa and 700 hPa, and ice-mixing ratio integrated from 700 hPa to 500 hPa. Since 2010, a partnership between the Group EDP-Brasil and the Atmospheric Electricity Group (ELAT) of National Institute for Space Research (INPE) is supporting the ClimaGrid Project that aims for developing a new computational system that integrates a wide range of meteorological and environmental variables to the electrical system information, in order to manage the growing impact of climate changes on power systems engineering, and to minimize its effects as well. The PLR has been operational for the first time in the ClimaGrid Project, and, in this study, we present some preliminary results of the PLR campaign during the 2012/2013 summer over EDP distribution companies areas. The thunderstorm case studies discussed here show that PLR works satisfactorily, being a useful tool to help EDP in the maintenance of the power systems.
Keywords :
atmospheric techniques; lightning; weather forecasting; EDP distribution companies areas; K-Index; PLR; Total Totals Index; WRF model; Weather Research and Forecasting model; climate changes; convective available potential energy; electrical system information; equivalent potential temperature; ice-mixing ratio; lightning forecasting method; meteorological variables; potential lightning region; power systems engineering; region of interest; southeastern Brazil; summer season; vertical velocity; Atmospheric modeling; Forecasting; Indexes; Lightning; Predictive models; WRF model; forecasting; lightning; power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Lightning Protection (XII SIPDA), 2013 International Symposium on
Conference_Location :
Belo Horizonte
Print_ISBN :
978-1-4799-1343-5
Type :
conf
DOI :
10.1109/SIPDA.2013.6729239
Filename :
6729239
Link To Document :
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