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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositóriosid.inpe.br/iris@1915/2005/09.13.14.13
Última Atualização2005:09.13.03.00.00 (UTC) administrator
Repositório de Metadadossid.inpe.br/iris@1915/2005/09.13.14.13.09
Última Atualização dos Metadados2018:06.05.03.43.30 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoShiguemoriSoLiCaCaSi:2005:InMeAt
TítuloInvestigation of Methodologies for Atmospheric Retrieval for the CPTEC
FormatoOn-line
Ano2005
Data de Acesso18 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho6 KiB
2. Contextualização
Autor1 Shiguemori, Elcio H.
2 Souza, Rodrigo Augusto Ferreira de
3 Lima, Wagner Flauber Araujo
4 Carvalho, João Carlos
5 Campos Velho, Haroldo Fraga de
6 Silva, Jose Demisio S. da
Identificador de Curriculo1
2
3
4
5 8JMKD3MGP5W/3C9JHC3
Grupo1 LAC-INPE-MCT-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mailatus@cptec.inpe.br
Nome do EventoInternational TOVS Study Conference, 14.
Localização do EventoBeijing - China
Data25 - 31 May 2005
Título do LivroProceedings
Histórico (UTC)2005-10-26 12:06:47 :: fabia -> administrator ::
2008-06-10 21:24:29 :: administrator -> estagiario ::
2010-05-11 16:56:12 :: estagiario -> administrator ::
2018-06-05 03:43:30 :: administrator -> marciana :: 2005
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
ResumoThe Center for Weather Forecasting and Climate Studies (CPTEC) is responsible for producing weather maps for the numerical prediction in Brazil. One key issue for numerical prediction is related to provide good estimation of the initial conditions for the atmospheric simulation code. One procedure consists to retrieve vertical atmospheric profiles for temperature and moisture. The CPTEC operationally uses the Inversion Coupled with Imager (ICI-3) software in dynamic mode (CPTEC analysis) with the ATOVS/NOAA-16 system to supply such vertical profiles. However, CPTEC is also investigating new retrieval schemes that they have been developed by INPE. One of these schemes performers the profiles by means of a generalized least square problem, where a new regularization operator is employed. Such regularization operator is based on maximum entropy of second order [1, 2]. An artificial neural network (ANN) is another scheme for retrieving the atmospheric profiles. The ANN is the multilayer perceptron, with back propagation learning strategy [3]. The goal of this paper is to compare these three different methods, focus on the operational procedures. The comparison is carried out using two databases: TIGR and NESDISPR. About of 500 profiles from TIGR and 400 profiles from NESDISPR, and associated radiances, are selected from these databases for testing the three strategies. The average over profiles is used to perform the comparison among the inversion methodologies, and these analyses will be shown here.
ÁreaMET
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Conteúdo da Pasta docacessar
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4. Condições de acesso e uso
URL dos dadoshttp://mtc-m16b.sid.inpe.br/ibi/sid.inpe.br/iris@1915/2005/09.13.14.13
URL dos dados zipadoshttp://mtc-m16b.sid.inpe.br/zip/sid.inpe.br/iris@1915/2005/09.13.14.13
Idiomaen
Arquivo AlvoITSC14_rodrigo3.pdf
Grupo de Usuáriosadministrator
fabia
Visibilidadeshown
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ESGTTP
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.49.40 3
Acervo Hospedeirocptec.inpe.br/walmeida/2003/04.25.17.12
6. Notas
Campos Vaziosarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition editor electronicmailaddress identifier isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
7. Controle da descrição
e-Mail (login)marciana
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