| 1. Identificação | |
| Tipo de Referência | Artigo em Revista Científica (Journal Article) |
| Site | mtc-m16b.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | x6e6X3pFwXQZ3DUS8rS5/D8J7R |
| Repositório | cptec.inpe.br/walmeida/2004/08.12.09.01 |
| Última Atualização | 2004:12.03.02.00.00 (UTC) administrator |
| Repositório de Metadados | cptec.inpe.br/walmeida/2004/08.12.09.01.47 |
| Última Atualização dos Metadados | 2021:02.11.01.16.05 (UTC) administrator |
| Chave Secundária | INPE-11373-PRE/6810 |
| ISSN | 0894-8763 |
| Chave de Citação | GuSCGLMWANMMORNS:2004:WeDrSu |
| Título | Modeling Carbon Sequestration over the Large-Scale Amazon Basin, Aided by Satellite Observations. Part I: Wet- and Dry-Season Surface Radiation Budget Flux and Precipitation Variability Based on GOES Retrievals  |
| Projeto | Interação biosfera-atmosfera e ciclos biogeoquímicos na Amazonia |
| Ano | 2004 |
| Mês | june |
| Data de Acesso | 20 maio 2024 |
| Tipo Secundário | PRE PI |
| Número de Arquivos | 1 |
| Tamanho | 1168 KiB |
| 2. Contextualização | |
| Autor | 1 Gu, Jiujing 2 Smith, Eric A. 3 Cooper, Harry J. 4 Grose, Andrew 5 Liu, Guosheng 6 Merritt, James D. 7 Waterloo, Maarten J. 8 Araújo, Alessandro C. de 9 Nobre, Antonio D. 10 Manzi, Antonio Ocimar 11 Marengo, JosÉ Antonio 12 Oliveira, Paulo J. de 13 von Randow, Celso 14 Norman, John 15 Silva Dias, Pedro Leite |
| Grupo | 1 2 3 4 5 6 7 8 9 10 DMD-INPE-MCT-BR 11 DMD-INPE-MCT-BR 12 SSS-INPE-MCT-BR 13 SSS-INPE-MCT-BR |
| Afiliação | 1 The Florida State University, Department of Meteorology 2 NASA 3 The Florida State University, Department of Meteorology 4 The Florida State University, Department of Meteorology 5 The Florida State University, Department of Meteorology 6 The Florida State University, Department of Meteorology 7 Vrije Universiteit Amsterdan 8 Instituto Nacional de Pesquisas da Amazônia (INPA) 9 Instituto Nacional de Pesquisas da Amazônia (INPA) 10 Instituto Nacional de Pesquisas Espaciais, Centro de Previsão do Tempo e Estudos Climáticos (INPE.CPTEC) 11 Instituto Nacional de Pesquisas Espaciais, Centro de Previsão do Tempo e Estudos Climáticos (INPE.CPTEC) 12 Instituto Nacional de Pesquisas Espaciais, Centro de Previsão do Tempo e Estudos Climáticos (INPE.CPTEC) 13 Instituto Nacional de Pesquisas Espaciais, Centro de Previsão do Tempo e Estudos Climáticos (INPE.CPTEC) 14 University of Wisconsin, Department of Soil Science 15 Universidade de São Paulo, Departamento de Ciências Atmosféricas (USP) |
| Endereço de e-Mail | fabia@cptec.inpe.br |
| Revista | Journal of Applied Meteorology |
| Volume | 43 |
| Número | 6 |
| Páginas | 870-886 |
| Histórico (UTC) | 2004-12-03 16:13:41 :: Fabia -> administrator :: 2006-11-17 23:11:44 :: administrator -> estagiario :: 2008-04-18 14:12:22 :: estagiario -> administrator :: 2008-06-10 19:50:47 :: administrator -> estagiario :: 2010-05-11 16:54:22 :: estagiario -> administrator :: 2021-02-11 01:16:05 :: administrator -> marciana :: 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 | METEOROLOGY Amazônia region Satellites Dry season METEOROLOGIA Região amazônica Satélites Estação seca |
| Resumo | In this first part of a two-part investigation, large-scale Geostationary Operational Environmental Satellite (GOES) analyses over the Amazônia region have been carried out for March and October of 1999 to provide detailed information on surface radiation budget (SRB) and precipitation variability. SRB fluxes and rainfall are the two foremost cloud-modulated control variables that affect land surface processes, and they require specification at spacetime resolutions concomitant with the changing cloud field to represent adequately the complex coupling of energy, water, and carbon budgets. These processes ultimately determine the relative variations in carbon sequestration and carbon dioxide release within a forest ecosystem. SRB and precipitation retrieval algorithms using GOES imager measurements are used to retrieve surface downward radiation and surface rain rates at high spacetime resolutions for large-scale carbon budget modeling applications in conjunction with the Large-Scale BiosphereAtmosphere Experiment in Amazônia. To validate the retrieval algorithms, instantaneous estimates of SRB fluxes and rain rates over 8 km × 8 km areas were compared with 30-min-averaged surface measurements obtained from tower sites located near Ji-Paraná and Manaus in the states of Rondônia and Amazonas, respectively. Because of large aerosol concentrations originating from biomass burning during the dry season (i.e., September and October for purposes of this analysis), an aerosol index from the Total Ozone Mapping Spectrometer is used in the solar radiation retrieval algorithm. The validation comparisons indicate that bias errors for incoming total solar, photosynthetically active radiation (PAR), and infrared flux retrievals are under 4%, 6%, and 3% of the mean values, respectively. Precision errors at the analyzed space time scales are on the order of 20%, 20%, and 5%. The visible and infrared satellite measurements used for precipitation retrieval do not directly detect rainfall processes, and yet they are responsive to the rapidly changing cloud fields, which are directly associated with precipitation life cycles over the Amazon basin. In conducting the validation analysis at high spacetime scales, the comparisons indicate systematic bias uncertainties on the order of 25%. These uncertainties are comparable to published values from an independent assessment of bias uncertainties inherent to the current highest-quality satellite retrievals, that is, from the Tropical Rainfall Measuring Mission. Because precipitation is a weak direct control on photosynthesis for the Amazon ecosystem, that is, photosynthesis is dominated by the strong diurnal controls of incoming PAR and ambient air-canopy temperatures, such uncertainties are tolerable. By the same token, precipitation is a strong control on soil thermal properties and carbon respiration through soil moisture, but the latter is a time-integrating variable and thus inhibits introduction of modeling errors caused by random errors in the precipitation forcing. The investigation concludes with analysis of the monthly, daily, and diurnal variations intrinsic to SRB and rainfall processes over the Amazon basin, including explanations of how these variations arise during wet- and dry-season periods. |
| Área | MET |
| Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Modeling Carbon Sequestration... |
| Arranjo 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > SESSS > Modeling Carbon Sequestration... |
| 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/x6e6X3pFwXQZ3DUS8rS5/D8J7R |
| URL dos dados zipados | http://urlib.net/zip/x6e6X3pFwXQZ3DUS8rS5/D8J7R |
| Idioma | en |
| Arquivo Alvo | Gu_Modeling carbon_part 1.pdf |
| Grupo de Usuários | Fabia administrator estagiario |
| Visibilidade | shown |
| Detentor da Cópia | SID/SCD |
| Política de Arquivamento | denypublisher6 allowfinaldraft |
| Permissão de Leitura | allow from all |
| 5. Fontes relacionadas | |
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/43SKC35 8JMKD3MGPCW/43SRFME |
| Lista de Itens Citando | sid.inpe.br/bibdigital/2021/01.03.02.53 1 sid.inpe.br/bibdigital/2021/01.01.17.20 1 |
| Divulgação | WEBSCI; PORTALCAPES. |
| Acervo Hospedeiro | cptec.inpe.br/walmeida/2003/04.25.17.12 |
| 6. Notas | |
| Campos Vazios | alternatejournal archivist callnumber copyright creatorhistory descriptionlevel documentstage doi electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype |
| 7. Controle da descrição | |
| e-Mail (login) | marciana |
| atualizar | |