| 1. Identificação | |
| Tipo de Referência | Artigo em Evento (Conference Proceedings) |
| Site | mtc-m16.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | 6qtX3pFwXQZsFDuKxG/ECcvB |
| Repositório | sid.inpe.br/marciana/2004/12.30.16.15 |
| Repositório de Metadados | sid.inpe.br/marciana/2004/12.30.16.15.35 |
| Última Atualização dos Metadados | 2018:06.05.01.21.19 (UTC) administrator |
| Chave Secundária | INPE--PRE/ |
| Chave de Citação | ShiguemoriSilvCampCarv:2004:RaBaFu |
| Título | Radial basis function neural network in the inversion of temperature vertical profiles from satellite radiance data  |
| Ano | 2004 |
| Data de Acesso | 18 maio 2024 |
| Tipo Secundário | PRE CN |
| 2. Contextualização | |
| Autor | 1 Shiguemori, Elcio Hideiti 2 Silva, José Demisio Simões 3 Campos Velho, Haroldo Fraga de 4 Carvalho, João Carlos |
| Grupo | 1 LAC-INPE-MCT-BR |
| Nome do Evento | Brazilian Symposium in Neural Networks, 8 (SBRN). |
| Localização do Evento | São Luiz, MA |
| Data | 29-September up to 01-October |
| Volume | 1 |
| Título do Livro | Proceedings |
| Histórico (UTC) | 2004-12-30 18:19:49 :: jefferson -> administrator :: 2015-04-02 18:36:44 :: administrator -> banon :: 2004 2015-04-02 18:41:07 :: banon -> administrator :: 2004 2018-06-05 01:21:19 :: administrator -> banon :: 2004 |
| 3. Conteúdo e estrutura | |
| É a matriz ou uma cópia? | é a matriz |
| Estágio do Conteúdo | concluido |
| Transferível | 1 |
| Tipo do Conteúdo | External Contribution |
| Palavras-Chave | Inverse problems neural networks radial basis functions regularization theory |
| Resumo | The retrieval of temperature profiles in the atmosphere is a key issue in Meteorology, since it provides an important input for weather forecasting models, mainly in the Southern Hemisphere where there are large areas uncovered by data collecting ground stations. In this paper, vertical temperature profiles are derived from satellite data by using a Radial Basis Function neural network based inverse procedure. The Radial Basis Function is trained using data provided by the direct model characterized by the Radiative Transfer Equation (RTE). The neural network results are compared to the ones obtained from previous works. In addition to synthetic data, real radiation data from the HIRS/2 - High Resolution Infrared Radiation Sounder - is used as input for the neural network inverse procedure to generate temperature profiles that are compared to measured temperature profiles from radiosonde. Analysis of the neural network results reveals the generated profiles closely approximate the results of Carvalho et al. and Ramos et al. [1, 2], thus showing adequacy of neural network based models in solving the inverse problem of temperature retrieval from satellite data. The advantages of using neural network based systems are related to their intrinsic features of parallelism and hardware implementation possibilities that may imply in very fast processing systems. |
| Área | COMP |
| Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Radial basis function... |
| Conteúdo da Pasta doc | não têm arquivos |
| Conteúdo da Pasta source | não têm arquivos |
| Conteúdo da Pasta agreement | não têm arquivos |
| 4. Condições de acesso e uso | |
| Grupo de Usuários | administrator banon jefferson |
| Grupo de Leitores | administrator banon |
| Visibilidade | shown |
| Permissão de Leitura | allow from all |
| Permissão de Atualização | não transferida |
| 5. Fontes relacionadas | |
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ESGTTP |
| Acervo Hospedeiro | sid.inpe.br/banon/2003/08.15.17.40 |
| 6. Notas | |
| Campos Vazios | affiliation archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor electronicmailaddress format isbn issn label language lineage mark mirrorrepository nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url versiontype |
| 7. Controle da descrição | |
| e-Mail (login) | banon |
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