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1 referência encontrada buscando em 15 dentre 15 sites.
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Tipo da ReferênciaJournal Article
Identificador8JMKD3MGP7W/3ECULSB
Repositóriosid.inpe.br/mtc-m19/2013/07.01.12.42
Metadadossid.inpe.br/mtc-m19/2013/07.01.12.42.02
Sitemtc-m16d.sid.inpe.br
DOI10.1109/TGRS.2013.2253109
Rótuloself-archiving-INPE-MCTI-GOV-BR
ISSN0196-2892
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Chave de CitaçãoBourscheidtPintNacc:2014:BrCa
Autor1 Bourscheidt, Vandoir
2 Pinto Junior, Osmar
3 Naccarato, Kleber Pinheiro
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JJ2E
Grupo1 CST-CST-INPE-MCTI-GOV-BR
2 CST-CST-INPE-MCTI-GOV-BR
3 CST-CST-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 vandoir@gmail.com
2 osmar@dge.inpe.br
3 kleber.naccarato@inpe.br
TítuloImprovements on Lightning Density Estimation Based on Analysis of Lightning Location System Performance Parameters: Brazilian Case
RevistaIEEE Transactions on Geoscience and Remote Sensing
Ano2014
Volume52
Número3
Palavras-Chavedetection efficiency (DE) models, kernel smoothness, lightning density maps, lightning location systems (LLS), location accuracy (LA), network performance.
ResumoDensity maps are one of the most common and powerful lightning data applications, and they are more efficient the more detailed they are. When working with CG lightning data from lightning location systems, some aspects must be included in the analysis to overcome network performance variations. Two parameters are typically used to evaluate system performance: detection efficiency (DE) and location accuracy (LA). For the Brazilian National Integrated Lightning Detection Network, DE is typically evaluated by models, and LA is analyzed through confidence ellipses. This paper presents climatological analysis of lightning activity, including the most recent relative DE model developed in Brazil, as well as an adapted kernel smoothing method based on confidence ellipses [called Gaussian kernel based on confidence ellipses (GKBCE)] as approaches to minimize and/or include the spatial variation of the systems performance in the analysis. The maps are produced over the central-south portion of Brazil (mainly along ITAIPU power transmission lines), using 11 years of data available from the network (from January 1999 to December 2009). The model increased density by ~20% over the entire region, without making considerable changes to the spatial pattern. The GKBCE seems to work well in smoothing, obtaining better results than the standard cell count (quadrat) method, by working independently of the grid size (allowing the creation of high-resolution maps), and by including location errors in the analysis. The use of these procedures might result in more detailed maps and more suitable results when analyzing lightning data.
Idiomaen
Tipo SecundárioPRE PI
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; IEEEXplore; SCOPUS.
AreaCST
Nota SecundáriaA1_CIÊNCIAS_AGRÁRIAS_I A1_ENGENHARIAS_IV A1_GEOCIÊNCIAS A1_CIÊNCIA_DA_COMPUTAÇÃO A1_INTERDISCIPLINAR A1_GEOGRAFIA A2_MATEMÁTICA_/_PROBABILIDADE_E
Vinculação8JMKD3MGP7W/3BGQHEB
Tamanho3190 KiB
Número de Arquivos1
Última Atualização2013:07.01.13.36.26 sid.inpe.br/mtc-m19@80/2009/08.21.17.02 administrator
Última Atualização dos Metadados2018:06.05.04.14.25 sid.inpe.br/mtc-m19@80/2009/08.21.17.02 administrator {D 2014}
Estágio do Documentoconcluido
É a matriz ou uma cópia?é a matriz
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Endereço de e-Mailkleber.naccarato@inpe.br
e-Mail (login)marcelo.pazos@inpe.br
Grupo de Usuáriosadministrator
kleber.naccarato@inpe.br
marcelo.pazos@inpe.br
self-uploading-INPE-MCTI-GOV-BR
Grupo de Leitoresadministrator
marcelo.pazos@inpe.br
Visibilidadeshown
Transferível1
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
Tipo do ConteudoExternal Contribution
Estágio do Documentonot transferred
Tipo de Versãofinaldraft
Política de Arquivamentodenypublisher allowfinaldraft
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 01/07/2013 09:42 1.0 KiB 
Histórico2013-07-01 12:42:02 :: kleber.naccarato@inpe.br -> administrator ::
2014-05-30 12:41:22 :: administrator :: 2013 -> 2014
2018-06-05 04:14:25 :: administrator -> marcelo.pazos@inpe.br :: 2014
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarytype typeofwork url
Data de Acesso24 nov. 2020
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