1. Identificação | |
Tipo de Referência | Artigo em Evento (Conference Proceedings) |
Site | mtc-m21d.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34T/4944QR8 |
Repositório | sid.inpe.br/mtc-m21d/2023/05.09.13.04 |
Última Atualização | 2023:06.23.13.28.28 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21d/2023/05.09.13.04.45 |
Última Atualização dos Metadados | 2024:01.02.17.16.43 (UTC) administrator |
Chave Secundária | INPE--PRE/ |
Chave de Citação | PintoJúniorPint:2023:EvLiDe |
Título | Evaluation of lightning detection efficiency of Brasildat dataset |
Ano | 2023 |
Data de Acesso | 26 dez. 2024 |
Tipo Secundário | PRE CI |
Número de Arquivos | 1 |
Tamanho | 565 KiB |
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2. Contextualização | |
Autor | 1 Pinto Júnior, Osmar 2 Pinto, Iara Regina Cardoso de Almeida |
Identificador de Curriculo | 1 8JMKD3MGP5W/3C9JJ2E 2 8JMKD3MGP5W/3C9JHD4 |
Grupo | 1 DISSM-CGCT-INPE-MCTI-GOV-BR 2 DISSM-CGCT-INPE-MCTI-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 osmar.pjr@uol.com.br 2 iara.pinto@inpe.br |
Nome do Evento | International Conference on Grounding & Lightning Physics and Effects, 10 |
Localização do Evento | Belo Horizonte, MG |
Data | 09-12 May 2023 |
Tipo Terciário | Oral Session |
Histórico (UTC) | 2023-05-09 13:05:33 :: simone -> administrator :: 2023 2023-07-04 14:19:28 :: administrator -> simone :: 2023 2023-07-05 15:42:16 :: simone -> administrator :: 2023 2024-01-02 17:16:43 :: administrator -> simone :: 2023 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Resumo | Lightning detection efficiency is a key parameter for evaluating the performance of a lightning detection system, having direct impact on the interpretation of its real time and historical data. However, its determination in the space and time domains is a complex task since it depends on many aspects that can be grouped in sensors characteristics (electromagnetic field component(s) detected, frequency response, gain, noise threshold, site features, uptime, among others), network characteristics (number of sensors, mean distance among sensors, location of sensors with respect to specific ground features like mountains and water bodies, configuration changes with time, among others) and lightning characteristics (type of flash, waveform, peak current, among others). In consequence, its evaluation should be done in different locations and different times, always considering a reasonable number of events. Evaluate the detection efficiency of a lightning location system taken into account all aspects is in general not possible. While observations by triggering lightning facilities and high speed cameras are very limited in space, observations of lightning effects such as transmission line faults, lightning damages and lightning fatalities are dependent on specific characteristics of the target, besides to include space and/or time uncertainty. Also, lightning detection efficiency models can be developed, but in general they provide only relative values. In this report we evaluate the lightning detection efficiency of BrasilDAT Dataset, which combines VLF-LF ground network data and optical GOES-16 satellite data, using for the first time accurate information of lightning related damages and fatalities reported in the period from April, 2020 to March, 2021 for all regions of Brazil. The results indicates that BrasilDAT Dataset have very high flash and stroke detection efficiencies, with values unprecedented in the country. |
Área | MET |
Arranjo | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Evaluation of lightning... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
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4. Condições de acesso e uso | |
URL dos dados | http://urlib.net/ibi/8JMKD3MGP3W34T/4944QR8 |
URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP3W34T/4944QR8 |
Idioma | en |
Arquivo Alvo | Paper_Osmar Pinto Jr_GROUND_2023.pdf |
Grupo de Usuários | self-uploading-INPE-MCTI-GOV-BR simone |
Grupo de Leitores | administrator simone |
Visibilidade | shown |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/46KUATE |
Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.57.30 17 sid.inpe.br/mtc-m21/2012/07.13.14.50.08 5 sid.inpe.br/bibdigital/2022/04.03.22.23 3 |
Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 |
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6. Notas | |
Campos Vazios | archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url volume |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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