Fechar

1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/3HG7KH3
Repositóriosid.inpe.br/plutao/2014/12.01.13.31.22
Última Atualização2015:01.16.15.07.15 (UTC) administrator
Repositório de Metadadossid.inpe.br/plutao/2014/12.01.13.31.23
Última Atualização dos Metadados2022:03.18.22.15.34 (UTC) administrator
Rótulolattes: 4161737266837399 3 AlvesSarCamPinAnt:2014:LoAcEv
Chave de CitaçãoAlvesSarCamPinAnt:2014:LoAcEv
TítuloLocation accuracy evaluation of lightning location systems using natural lightning flashes recorded by a network of high-speed cameras
FormatoDVD
Ano2014
Data de Acesso06 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho628 KiB
2. Contextualização
Autor1 Alves, Jéferson
2 Saraiva, Antonio Carlos Varela
3 Campos, Leandro Zanella de Souza
4 Pinto Jr., Osmar
5 Antunes, Larissa
Grupo1 GES-CEA-SPG-INPE-MCTI-GOV-BR
2 DGE-CEA-INPE-MCTI-GOV-BR
3 GESATM-CEA-SPG-INPE-MCTI-GOV-BR
4 CST-CST-INPE-MCTI-GOV-BR
5 GESATM-CEA-SPG-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)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mailmarcelo.pazos@inpe.br
Nome do EventoInternational Conference on Atmospheric Electricity, 15 (ICAE).
Localização do EventoNorman
Data15-20 jun. 2014
Título do LivroProceedings
Tipo TerciárioPaper
Histórico (UTC)2014-12-01 13:31:23 :: lattes -> administrator ::
2022-03-18 22:15:34 :: administrator -> marciana :: 2014
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãofinaldraft
Palavras-ChaveLightning
High-speed video
Lightning Location System
Atmospheric Electricity
ResumoThis work presents a preliminary method for the evaluation of location accuracy of all Lightning Location System (LLS) in operation in southeastern Brazil (e.g. BrasilDAT, RINDAT, StarNet, WWLLN, GLD360), using natural cloud-to-ground (CG) lightning flashes. This can be done through a multiple high-speed cameras network (RAMMER network) installed in the Paraiba Valley region SP Brazil. The RAMMER network (Automated Multi-camera Network for Monitoring and Study of Lightning) is composed by four high-speed cameras operating at 2,500 frames per second. Three stationary black-and-white (B&W) cameras were situated in the cities of São José dos Campos and Caçapava. A fourth color camera was mobile (installed in a car), but operated in a fixed location during the observation period, within the city of São José dos Campos. The average distance among cameras was 13 kilometers. Each RAMMER sensor position was determined so that the network can observe the same lightning flash from different angles and all recorded videos were GPS (Global Position System) time stamped, allowing comparisons of events between cameras and the LLS. The RAMMER sensor is basically composed by a computer, a Phantom high-speed camera version 9.1 and a GPS unit. The lightning cases analyzed in the present work were observed by at least two cameras, their position was visually triangulated and the results compared with BrasilDAT network, during the summer seasons of 2011/2012 and 2012/2013. The visual triangulation method is presented in details. The calibration procedure showed an accuracy of 9 meters between the accurate GPS position of the object triangulated and the result from the visual triangulation method. Lightning return stroke positions, estimated with the visual triangulation method, were compared with LLS locations. Differences between solutions were not greater than 1.8 km.
ÁreaCEA
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDGE > Location accuracy evaluation...
Arranjo 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > GES > Location accuracy evaluation...
Arranjo 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Location accuracy evaluation...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W/3HG7KH3
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W/3HG7KH3
Idiomaen
Arquivo AlvoAlves_8alves.pdf
Grupo de Usuárioslattes
marcelo.pazos@inpe.br
marciana
Grupo de Leitoresadministrator
marcelo.pazos@inpe.br
marciana
Visibilidadeshown
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
VinculaçãoTrabalho não Vinculado à Tese/Dissertação
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3EU29DP
8JMKD3MGPCW/3F2PBEE
8JMKD3MGPCW/3F3T29H
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.01.22.11 2
URL (dados não confiáveis)http://www.nssl.noaa.gov/users/mansell/icae2014/preprints/Alves_8.pdf
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
NotasInformações Adicionais: This work presents a preliminary method for the evaluation of location accuracy of all Lightning Location System (LLS) in operation in southeastern Brazil (e.g. BrasilDAT, RINDAT, StarNet, WWLLN, GLD360), using natural cloud-to-ground (CG) lightning flashes. This can be done through a multiple high-speed cameras network (RAMMER network) installed in the Paraiba Valley region SP Brazil. The RAMMER network (Automated Multi-camera Network for Monitoring and Study of Lightning) is composed by four high-speed cameras operating at 2,500 frames per second. Three stationary black-and-white (B&W) cameras were situated in the cities of São José dos Campos and Caçapava. A fourth color camera was mobile (installed in a car), but operated in a fixed location during the observation period, within the city of São José dos Campos. The average distance among cameras was 13 kilometers. Each RAMMER sensor position was determined so that the network can observe the same lightning flash from different angles and all recorded videos were GPS (Global Position System) time stamped, allowing comparisons of events between cameras and the LLS. The RAMMER sensor is basically composed by a computer, a Phantom high-speed camera version 9.1 and a GPS unit. The lightning cases analyzed in the present work were observed by at least two cameras, their position was visually triangulated and the results compared with BrasilDAT network, during the summer seasons of 2011/2012 and 2012/2013. The visual triangulation method is presented in details. The calibration procedure showed an accuracy of 9 meters between the accurate GPS position of the object triangulated and the result from the visual triangulation method. Lightning return stroke positions, estimated with the visual triangulation method, were compared with LLS locations. Differences between solutions were not greater than 1.8 km..
Campos Vaziosarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition editor electronicmailaddress isbn issn lineage mark nextedition numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject type volume
7. Controle da descrição
e-Mail (login)marciana
atualizar 


Fechar