%0 Conference Proceedings
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%3 M. Ferro - An Electric Field-Mill Network in Southeastern Brazil for Lightning Warnings.pdf
%@mirrorrepository sid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
%4 sid.inpe.br/mtc-m19/2012/01.03.16.00
%8 08-12 Aug
%A Ferro, Marco Antonio da Silva,
%A Yamasaki, Jorge,
%A Pimentel, Douglas Roberto de Matos,
%A Naccarato, Kleber Pinheiro,
%A Saba, Marcelo Magalhães Fares,
%B International Conference on Atmospheric Electricity, 14.
%@secondarytype PRE CI
%C Rio de Janeiro
%D 2011
%F self-archiving-INPE-MCTI-GOV-BR
%@secondarykey INPE--PRE/
%K Lightning, Weather radar information,  Lightning warning systems.
%T An electric field-mill network in southeastern Brazil foi lightning warnings
%X Several works deal with lightning warning methods developed from CG lightning locations systems (LLS) [Murphy and Cummins, 2000; Murphy, Demetriades and Cummins, 2002; Holle, Murphy and Lopez, 2003]. Additionally, other particular works combine total lightning with weather radar information in an effort to improve the accuracy of lightning threat alarms [Murphy and Holle, 2005; 2006]. Finally, some recent studies presented automated lightning warning systems as a combination of lightning detection information and data from one or more electric field mills (EFMs) [Murphy, Holle and Demetriades, 2008; Murphy and Cummins, 2000; Montanya et al., 2008; Beasley, Williams and Hyland, 2008]. These studies had shown that the EFM measurements are strongly affected by the local characteristics where it was installed (for example the cloud charge center height in that region, the topography, etc.). Thus, the effectiveness of lightning warning methods using electric field data changes from one region to another. It is important to note that all these past studies took place in the Northern hemisphere. This paper presents the characteristics of an EFM network that is being installed in the South hemisphere, particularly in Southeastern Brazil (Figure 1). It is also presented the proposed methodology to generate lightning risk warning in order to evaluate how the atmospheric electric field data can be used to support the decision-making process for issuing a lightning risk warning.
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%@e-mailaddress secretaria.cpa@dir.inpe.br
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%@group CST-CST-INPE-MCT-BR
%@group CST-CST-INPE-MCT-BR
%@usergroup administrator
%@usergroup secretaria.cpa@dir.inpe.br
%@affiliation Institute of Aeronautics and Space (IAE) – Atmospheric Science Division S.J. Campos, São Paulo
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Institute of Aeronautics and Space (IAE) – Atmospheric Science Division S.J. Campos, São Paulo
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@nexthigherunit 8JMKD3MGPCW/3F3T29H
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%2 sid.inpe.br/mtc-m19/2012/01.03.16.00.40