1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21b.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP5W34M/3FA43Q5 |
Repositório | sid.inpe.br/mtc-m21b/2013/11.26.16.35 |
Última Atualização | 2013:12.18.18.05.03 (UTC) administrator |
Repositório de Metadados | sid.inpe.br/mtc-m21b/2013/11.26.16.35.17 |
Última Atualização dos Metadados | 2021:03.06.19.30.57 (UTC) administrator |
DOI | 10.1016/j.agrformet.2013.05.015 |
ISSN | 0168-1923 |
Rótulo | scopus 2013-11 |
Chave de Citação | VonRandowZRMGCAMRSABCCCFGGHIIJLMPRSSSTVY:2013:InVaCa |
Título | Inter-annual variability of carbon and water fluxes in Amazonian forest, Cerrado and pasture sites, as simulated by terrestrial biosphere models ![](http://mtc-m21b.sid.inpe.br/col/dpi.inpe.br/banon/2000/01.23.20.24/doc/externalLink.gif) |
Ano | 2013 |
Data de Acesso | 26 jun. 2024 |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 1165 KiB |
| 2. Contextualização | |
Autor | 1 Von Randow, Celso 2 Zeri, Luis Marcelo de Mattos 3 Restrepo-Coupe, N. 4 Muza, M. N. 5 Gonçalves, L. G. G. de 6 Costa, M. H. 7 Araujo, A. C. 8 Manzi, A. O. 9 Rocha, H. R. da 10 Saleska, S. R. 11 Arain, M. A. 12 Baker, I. T. 13 Cestaro, B. P. 14 Christoffersen, B. 15 Ciais, P. 16 Fisher, J. B. 17 Galbraith, D. 18 Guan, X. 19 Hurk, B. van den 20 Ichii, K. 21 Imbuzeiro, H. 22 Jain, A. 23 Levine, N. 24 Miguez-Macho, G. 25 Poulter, B. 26 Roberti, D. R. 27 Sahoo, A. 28 Schaefer, K. 29 Shi, M. 30 Tian, H. 31 Verbeeck, H. 32 Yang, Z. -L. |
Grupo | 1 CST-CST-SPG-INPE-MCTI-GOV-BR 2 CPT-CPT-INPE-MCTI-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Plant Functional Biology and Climate Change Cluster, University of Technology, Sydney, Australia 4 Instituto Federal de Santa Catarina, Florianópolis, SC, Brazil 5 Centro de Previsão de Tempo e Estudos Climáticos, Instituto Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil 6 Dep. Agricultural Engineering, Federal University of Viçosa, Viçosa, MG, Brazil 7 Embrapa AmazÔnia Oriental, Belém, PA, Brazil 8 Instituto Nacional de Pesquisas da AmazÔnia (INPA), Manaus, AM, Brazil 9 Departamento de Ciências Atmosfericas, IAG, Universidade de São Paulo, São Paulo, Brazil 10 Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, United States 11 School of Geography and Earth Sciences, McMaster University, Hamilton, ON, Canada 12 Atmospheric Science Department, Colorado State University, Fort Collins, CO, United States 13 Departamento de Ciências Atmosfericas, IAG, Universidade de São Paulo, São Paulo, Brazil 14 Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, United States 15 Laboratoire des Sciences du Climat et de l'Environnement, CEA Orme des Merisiers, Gif sur Yvette, France 16 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States 17 School of Geography, University of Leeds, Leeds, United Kingdom 18 Center for Integrated Earth System Science, Department of Geological Sciences, The University of Texas at Austin, Austin, TX, United States 19 Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands 20 Faculty of Symbiotic Systems Science, Fukushima University, Japan 21 Dep. Agricultural Engineering, Federal University of Viçosa, Viçosa, MG, Brazil 22 Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States 23 Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, United States 24 Condensed Matter Physics Department, University of Santiago de Compostela, Santiago de Compostela, Spain 25 Laboratoire des Sciences du Climat et de l'Environnement, CEA Orme des Merisiers, Gif sur Yvette, France 26 Dept of Physics, Federal University of Santa Maria, Santa Maria, RS, Brazil 27 Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States 28 National Snow and Ice Data Center, University of Colorado at Boulder, Boulder, CO, United States 29 Center for Integrated Earth System Science, Department of Geological Sciences, The University of Texas at Austin, Austin, TX, United States 30 School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, United States 31 Laboratory of Plant Ecology, Ghent University, Ghent, Belgium 32 Center for Integrated Earth System Science, Department of Geological Sciences, The University of Texas at Austin, Austin, TX, United States |
Endereço de e-Mail do Autor | 1 celso.vonrandow@inpe.br 2 zeri@cptec.inpe.br |
Endereço de e-Mail | marcelo.pazos@inpe.br |
Revista | Agricultural and Forest Meteorology |
Volume | 182-183 |
Páginas | 145-155 |
Nota Secundária | A1 A1 A1 A1 A1 A1 A2 A2 B2 |
Histórico (UTC) | 2021-03-06 19:30:57 :: administrator -> marcelo.pazos@inpe.br :: 2013 |
| 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 | finaldraft |
Palavras-Chave | annual variation biosphere carbon flux cerrado ecotone evapotranspiration flux measurement land surface net ecosystem exchange pasture rainfall rainforest savanna surface flux water flow Amazonia Brazil |
Resumo | This study analyzes the inter-annual variability (IAV) of simulations of 21 different land surface model formulations, driven by meteorological conditions measured at 8 flux towers, located in rain forest, forest-savanna ecotone and pasture sites in Amazonia, and one in savanna site in Southeastern Brazil. Annual totals of net ecosystem exchange (NEE) of carbon and evapotranspiration (ET), measured and simulated by each model for each site-year, were compared in terms of year-to-year variability and possible relation to climate drivers. Results have shown that most of models simulations for annual totals of NEE and ET, and IAV of these fluxes, are frequently different from measurements. The average of the model simulations of annual fluxes tend to respond to climatic drivers similarly to the observations, but with noticeable discrepancies. Annual measurements of NEE are negatively correlated to annual rainfall in the forest sites group. Although the ensemble of all models yields a similar result, only three model formulations reproduce a significant negative correlation of simulated NEE with rainfall. For the IAV of ET, tower measurements are controlled by annual variations of radiation and this feature is captured by the ensemble of the models, both at individual sites and when all forest sites are grouped. However, simulated ET values are also significantly correlated to the amount of precipitation in many models and in the model ensemble, while there is no significant correlation in the observations. In general, the surface models are able to reproduce the responses of fluxes to climatic drivers, but improvements are still needed to better capture their inter-annual variability. © 2013 Elsevier B.V. |
Área | CST |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Inter-annual variability of... |
Arranjo 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CST > Inter-annual variability of... |
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://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP5W34M/3FA43Q5 |
URL dos dados zipados | http://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP5W34M/3FA43Q5 |
Idioma | en |
Arquivo Alvo | CvonRandow_LBA-DMIP_finaldraft.pdf |
Grupo de Usuários | administrator marcelo.pazos@inpe.br self-uploading-INPE-MCTI-GOV-BR |
Grupo de Leitores | administrator marcelo.pazos@inpe.br |
Visibilidade | shown |
Política de Arquivamento | denypublisher denyfinaldraft24 |
Permissão de Leitura | allow from all |
Permissão de Atualização | não transferida |
| 5. Fontes relacionadas | |
Repositório Espelho | iconet.com.br/banon/2006/11.26.21.31 |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EUPEJL 8JMKD3MGPCW/449U4PL |
Lista de Itens Citando | sid.inpe.br/bibdigital/2013/10.06.18.03 7 sid.inpe.br/bibdigital/2021/03.06.05.18 3 |
Divulgação | WEBSCI; PORTALCAPES; SCOPUS. |
Acervo Hospedeiro | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 |
| 6. Notas | |
Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url |
| 7. Controle da descrição | |
e-Mail (login) | marcelo.pazos@inpe.br |
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