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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/3B5C77H
Repositorysid.inpe.br/mtc-m19/2012/01.03.11.40   (restricted access)
Last Update2012:01.31.15.41.58 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m19/2012/01.03.11.40.51
Metadata Last Update2018:06.05.04.25.14 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyBourscheidtPintNaccBuzz:2011:CGLiDe
TitleCG Lightning Density along Itaipu Transmission Lines
Year2011
Access Date2024, Mar. 28
Secondary TypePRE CI
Number of Files1
Size264 KiB
2. Context
Author1 Bourscheidt, Vandoir
2 Pinto Júnior, Osmar
3 Naccarato, Kleber Pinheiro
4 Buzzato, C. G.
Resume Identifier1
2 8JMKD3MGP5W/3C9JJ2E
Group1 CST-CST-INPE-MCT-BR
2 CST-CST-INPE-MCT-BR
3 CST-CST-INPE-MCT-BR
4 CST-CST-INPE-MCT-BR
Affiliation1 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)
Author e-Mail Address1 vandoir@dge.inpe.br
e-Mail Addresssecretaria.cpa@dir.inpe.br
Conference NameInternational Conference on Atmospheric Electricity, 14.
Conference LocationRio de Janeiro
Date08-12 Aug
Book TitleProceedings
History (UTC)2012-01-31 15:42:19 :: secretaria.cpa@dir.inpe.br -> administrator :: 2011
2018-06-05 04:25:14 :: administrator -> marciana :: 2011
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsLightning
Transmission lines
AbstractDensity maps are one of the most common and powerful use of lightning data, and its application became as more efficient as more detailed the maps are. When leading with data from Lightning Location Systems (LLSs), which means a stochastic phenomenon that depends on several detection conditions, some aspects must be included in the analysis to overcome the system performance and other random errors. Some of these limitations are minimized by considering the detection efficiency and location accuracy in the analysis. For the Brazilian Lightning Detection Network (BrasilDAT), the detection efficiency is normally evaluated through models and the location accuracy through confidence ellipses. In this work we have produced lightning density maps along the ITAIPU power transmission lines using the most recent detection efficiency model of the network developed in Brazil (MED4), as well as the Gaussian confidence ellipses as a smoothing method associated to the location accuracy of each discharge. The model increased the density in about 50% over the entire region. The spatial pattern did not present considerable changes. The Gaussian smooth seems to work well according to our purpose. The use of these two improvements might bring up more detailed maps and better results.
AreaCST
ArrangementCG Lightning Density...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target FileV. Bourscheidt - CG Lightning Density along Itaipu Transmission Lines.pdf
User Groupadministrator
secretaria.cpa@dir.inpe.br
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Next Higher Units8JMKD3MGPCW/3F3T29H
Host Collectionsid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition editor format isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume
7. Description control
e-Mail (login)marciana
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