Fechar
Metadados

1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3L8MGM5
Repositóriosid.inpe.br/mtc-m21b/2016/02.26.17.56
Última Atualização2016:02.26.17.57.14 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2016/02.26.17.56.24
Última Atualização dos Metadados2018:06.04.02.40.34 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoCintraCampCock:2016:MuPeDa
TítuloMultilayer perceptron on data assimilation applied to FSU global model
Ano2016
Data de Acesso19 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho938 KiB
2. Contextualização
Autor1 Cintra, Rosangela Saher Correa
2 Campos Velho, Haroldo Fraga de
3 Cocke, Steven
Identificador de Curriculo1 8JMKD3MGP5W/3C9JJ75
2 8JMKD3MGP5W/3C9JHC3
Grupo1 LAC-CTE-INPE-MCTI-GOV-BR
2 LAC-CTE-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Florida State University
Endereço de e-Mail do Autor1 rosangela.cintra@inpe.br
2 haroldo@lac.inpe.br
3 scocke@fsu.edu
Nome do EventoInternational Symposium on Uncertainty Quantification and Stochastic Modeling, 3. (Uncertainties)
Localização do EventoMaresias, SP
Data15-19 Feb.
Título do LivroProceedings
Histórico (UTC)2016-02-26 17:56:24 :: simone -> administrator ::
2018-06-04 02:40:34 :: administrator -> simone :: 2016
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Palavras-Chavedata assimilation
artificial neural networks
ensemble Kalman filter
multilayer perceptron
ResumoNumerical weather prediction (NWP) uses atmospheric general circulation models (AGCMs) to predict weather based on current weather conditions. The atmosphere could not be completely described due to inherent uncertainty. These uncertainties limit forecast model accuracy to about five or six days into the future. The process of entering observation data into mathematical model to generate the accurate initial conditions is called data assimilation (DA). This paper shows the results of a DA technique using artificial neural networks (NN) applied to an AGCM used in Florida State University (FSU) in USA. The Local Ensemble Transform Kalman filter (LETKF), a version of Kalman filter with ensembles to represent the model uncertainties, is a traditional DA scheme. We use Multilayer Perceptron data assimilation (MLP-DA) with supervised training algorithm where NN receives input vectors with their corresponding response from LETKF initial conditions. These DA schemes are applied to FSU Global Spectral Model (FSUGSM), a multilevel spectral primitive equation model at resolution T63L27. This data assimilation experiment is based in synthetic observations: surface pressure and upper-air temperature. We use a NN self-configuration method to find the optimal NN parameters to configure the MLP-DA with: four input vector nodes and one output node for the analysis vector. The NNs were trained with data from each month of 2001, 2002, and 2003. The MLP-DA cycle is performed for January 2004. The numerical results demonstrate the effectiveness of the MLP-DA technique for atmospheric data assimilation, since the initial conditions have similar quality to LETKF. The reduced computational cost allows the inclusion of greater number of observations and new data sources and the use of high resolution of models.
ÁreaCOMP
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Multilayer perceptron on...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 26/02/2016 14:56 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP3W34P/3L8MGM5
URL dos dados zipadoshttp://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP3W34P/3L8MGM5
Grupo de Usuáriosself-uploading-INPE-MCTI-GOV-BR
simone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Vinculação8JMKD3MGP3W34P/3K98PDP
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3ESGTTP
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.22.23.14 4
sid.inpe.br/mtc-m21/2012/07.13.14.49.40 3
sid.inpe.br/mtc-m21/2012/07.13.14.59.36 1
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn label language lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject targetfile tertiarytype type url versiontype volume
7. Controle da descrição
e-Mail (login)simone
atualizar 


Fechar