| 1. Identificação | |
| Tipo de Referência | Artigo em Revista Científica (Journal Article) |
| Site | plutao.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | J8LNKAN8RW/34BF22B |
| Repositório | dpi.inpe.br/plutao@80/2008/12.04.13.06 |
| Última Atualização | 2009:04.24.18.49.06 (UTC) administrator |
| Repositório de Metadados | dpi.inpe.br/plutao@80/2008/12.04.13.06.48 |
| Última Atualização dos Metadados | 2021:01.03.02.11.08 (UTC) administrator |
| Chave Secundária | INPE--PRE/ |
| DOI | 10.1175/2007JAMC1684.1 |
| ISSN | 1558-8432 1558-8424 |
| Rótulo | lattes: 5139331351519474 3 DelgadoMABRLGN:2008:BaRaEs |
| Chave de Citação | DelgadoMABRLGN:2008:BaRaEs |
| Título | Basis for a Rainfall Estimation Technique Using IR VIS Cloud Classification and Parameters over the Life Cycle of Mesoscale Convective Systems  |
| Ano | 2008 |
| Mês | May |
| Data de Acesso | 04 maio 2024 |
| Tipo Secundário | PRE PI |
| Número de Arquivos | 1 |
| Tamanho | 5081 KiB |
| 2. Contextualização | |
| Autor | 1 Delgado, G. 2 Machado, Luiz A. T. 3 Angelis, Carlos Frederico de 4 Bottino, Marcus J. 5 Redano, A 6 Lorente, J. 7 Gimeno, L. 8 Nieto, R. |
| Identificador de Curriculo | 1 2 3 8JMKD3MGP5W/3C9JGQT |
| Grupo | 1 2 DSA-CPT-INPE-MCT-BR 3 DSA-CPT-INPE-MCT-BR |
| Afiliação | 1 Univ Barcelona, Dept Astron & Meteorol, E-08028 Barcelona, Spain 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 5 Univ Barcelona, Dept Astron & Meteorol, E-08028 Barcelona, Spain 6 7 Univ Lisbon, CGUL, IDL, P-1699 Lisbon, Portugal 8 Univ Lisbon, CGUL, IDL, P-1699 Lisbon, Portugal |
| Endereço de e-Mail do Autor | 1 2 3 angelis@cptec.inpe.br |
| Endereço de e-Mail | angelis@cptec.inpe.br |
| Revista | Journal of Applied Meteorology and Climatology |
| Volume | 47 |
| Número | 5 |
| Páginas | 1500-1517 |
| Histórico (UTC) | 2008-12-04 16:12:43 :: lattes -> administrator :: 2008-12-17 15:51:48 :: administrator -> simone :: 2009-01-06 18:11:41 :: simone -> marciana :: 2009-01-07 11:27:42 :: marciana -> administrator :: 2009-03-19 13:55:32 :: administrator -> marciana :: 2009-04-24 18:49:07 :: marciana -> administrator :: 2012-07-25 15:55:57 :: administrator -> marciana :: 2013-03-08 17:25:45 :: marciana -> administrator :: 2008 2021-01-03 02:11:08 :: administrator -> marciana :: 2008 |
| 3. Conteúdo e estrutura | |
| É a matriz ou uma cópia? | é a matriz |
| Estágio do Conteúdo | concluido |
| Transferível | 1 |
| Tipo do Conteúdo | External Contribution |
| Tipo de Versão | publisher |
| Palavras-Chave | ARTIFICIAL NEURAL-NETWORK PASSIVE MICROWAVE PRECIPITATION ESTIMATION SATELLITE IMAGERY METEOSAT IMAGERY INFRARED DATA RESOLUTION ALGORITHM RADIANCES AREA |
| Resumo | This paper discusses the basis for a new rainfall estimation method using geostationary infrared and visible data. The precipitation radar on board the Tropical Rainfall Measuring Mission satellite is used to train the algorithm presented (which is the basis of the estimation method) and the further intercomparison. The algorithm uses daily Geostationary Operational Environmental Satellite infrared-visible (IR-VIS) cloud classifications together with radiative and evolution properties of clouds over the life cycle of mesoscale convective systems (MCSs) in different brightness temperature (T-b) ranges. Despite recognition of the importance of the relationship between the life cycle of MCSs and the rainfall rate they produce, this relationship has not previously been quantified precisely. An empirical relationship is found between the characteristics that describe the MCSs' life cycle and the magnitude of rainfall rate they produce. Numerous earlier studies focus on this subject using cloud-patch or pixel-based techniques; this work combines the two techniques. The algorithm performs reasonably well in the case of convective systems and also for stratiform clouds, although it tends to overestimate rainfall rates. Despite only using satellite information to initialize the algorithm, satisfactory results were obtained relative to the hydroestimator technique, which in addition to the IR information uses extra satellite data such as moisture and orographic corrections. This shows that the use of IR-VIS cloud classification and MCS properties provides a robust basis for creating a future estimation method incorporating humidity Eta field outputs for a moisture correction, digital elevation models combined with low-level moisture advection for an orographic correction, and a nighttime cloud classification. |
| Área | MET |
| Arranjo | urlib.net > DIDSA > Basis for a... |
| Conteúdo da Pasta doc | acessar |
| Conteúdo da Pasta source | não têm arquivos |
| Conteúdo da Pasta agreement | não têm arquivos |
| 4. Condições de acesso e uso | |
| URL dos dados | http://urlib.net/ibi/J8LNKAN8RW/34BF22B |
| URL dos dados zipados | http://urlib.net/zip/J8LNKAN8RW/34BF22B |
| Idioma | en |
| Arquivo Alvo | machado_basis.pdf |
| Grupo de Usuários | administrator lattes marciana |
| Visibilidade | shown |
| Política de Arquivamento | denypublisher6 allowfinaldraft |
| Permissão de Leitura | allow from all |
| Permissão de Atualização | não transferida |
| 5. Fontes relacionadas | |
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/43SRC6S |
| Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.43.19 1 |
| Divulgação | WEBSCI; PORTALCAPES. |
| Acervo Hospedeiro | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notas | |
| Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url |
| 7. Controle da descrição | |
| e-Mail (login) | marciana |
| atualizar | |