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Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP8W/35LT4CB
Repositorysid.inpe.br/mtc-m18@80/2009/07.16.16.36
Last Update2009:07.16.16.36.41 administrator
Metadatasid.inpe.br/mtc-m18@80/2009/07.16.16.36.42
Metadata Last Update2020:04.28.17.48.46 administrator
Citation KeyVelhoHärt:2009:PrReNe
TitlePreliminary results with neural network for data assimilation to the space weather
FormatOn-line
ProjectBrazilian Decimetric Array
Year2009
DateJuly 28 ¨C August 1, 2008
Access Date2021, Jan. 18
Number of Files1
Size177 KiB
Context area
Author1 Velho, Haroldo de Campos
2 Härter, Fabrício P.
Group1 LAC-CTE-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 National Institute of Meteorology (INMet)
Author e-Mail Address1 haroldo@lac.inpe.br
2 fabricio.harter@inmet.gov.br
EditorScientific
Sawant, Hanumant Shankar
Rao, A. Pramesh
Gopalswamy, Natchimuthukonar
Hurford, Gordon J.
Ananthakrishnan, Subramaniam
Executive
Fernandes, Francisco Carlos Rocha
Moraes, Lu¨ªs Cesar Pereira de
e-Mail Addresslcmoraes@das.inpe.br
Conference NameBrazilian Decimetric Array Workshop.
Conference LocationINPE
Pages161-168
Book TitleProceedings
PublisherINPE
Publisher CitySão José dos Campos
Secondary TypePRE CI
Tertiary TypePaper
History2009-07-16 16:37:21 :: lcmoraes@das.inpe.br -> administrator ::
2020-04-28 17:48:46 :: administrator -> simone :: 2009
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsNEURAL, NETWORK, ASSIMILATION, SPACE, WEATHER.
AbstractData assimilation is an essential step for improving space weather operational forecasting by means of an appropriated combination between observational data and data from a mathematical model. In the present work data assimilation methods based on Kalman filter and artificial neural networks are applied to a three-wave model of auroral radio emissions. A novel data assimilation method is presented, whereby a multilayer perceptron neural network is trained to emulate a Kalman filter for data assimilation by using cross validation. The results obtained render support for the use of neural networks as an assimilation technique for space weather prediction.
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data URLhttp://urlib.net/rep/8JMKD3MGP8W/35LT4CB
zipped data URLhttp://urlib.net/zip/8JMKD3MGP8W/35LT4CB
Languageen
Target FileBDA_proc25_Haroldo.pdf
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Mirror Repositorysid.inpe.br/mtc-m18@80/2008/03.17.15.17.24
Next Higher Units8JMKD3MGPCW/3ESGTTP
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
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