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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP8W/3498PQB
Repositorysid.inpe.br/mtc-m18@80/2008/11.20.19.00   (restricted access)
Last Update2009:06.26.14.18.17 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m18@80/2008/11.20.19.00.32
Metadata Last Update2018:06.04.03.56.01 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1016/j.atmosres.2008.06.019
ISSN0169-8095
Citation KeyNaccaratoPint:2009:ImDeEf
TitleImprovements in the detection efficiency model for the Brazilian lightning detection network (BrasilDAT)
Year2009
MonthFeb.
Access Date2024, Apr. 27
Secondary TypePRE PI
Number of Files1
Size2207 KiB
2. Context
Author1 Naccarato, Kleber Pinheiro
2 Pinto Júnior, Osmar
Group1 DGE-CEA-INPE-MCT-BR
2 DGE-CEA-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
JournalAtmospheric Research
Volume91
Number2/4
Pages546-563
History (UTC)2010-04-23 16:45:22 :: simone -> administrator ::
2018-06-04 03:56:01 :: administrator -> marciana :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsLightning
Detection efficiency
Model
Location systems
Sensors
AbstractThe detection efficiency (DE) is the most important performance gauge of a lightning detection network (LDN). Moreover, the main motivation for evaluating the DE of a LDN is to separate the geographical variations of the CG lightning parameters from the variations regarding the network performance. A review of previous relative DE techniques and simple methods to correct the cloud-to-ground (CG) lightning flash density maps is presented. In addition, recent improvements in the flash DE model for the Brazilian lightning detection network (BrasilDAT) are discussed. The DE estimated values are based on the sensor individual DE probability functions, which are derived from a large amount of CG stroke data provided by the network considering different distances from the sensor and specific peak current ranges. The new approach provides better results when compared with the previous developments, since the calculation of the sensor DE probability functions neglects the lightning data provided by the minimum number of reporting sensors. Hence it is possible to minimize the unrealistic enhancement of the DE closer to the network boundaries (border effect) without affecting significantly the performance inside the network. The main result is a more realistic correction of the CG flash density maps, particularly at the outermost network areas, leading to an improvement in the model sensitivity.
AreaCEA
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDGE > Improvements in the...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Fileimprovements.pdf
User Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EU29DP
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
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7. Description control
e-Mail (login)marciana
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