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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP5W34M/3FA43Q5
Repositóriosid.inpe.br/mtc-m21b/2013/11.26.16.35
Última Atualização2013:12.18.18.05.03 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2013/11.26.16.35.17
Última Atualização dos Metadados2021:03.06.19.30.57 (UTC) administrator
DOI10.1016/j.agrformet.2013.05.015
ISSN0168-1923
Rótuloscopus 2013-11
Chave de CitaçãoVonRandowZRMGCAMRSABCCCFGGHIIJLMPRSSSTVY:2013:InVaCa
TítuloInter-annual variability of carbon and water fluxes in Amazonian forest, Cerrado and pasture sites, as simulated by terrestrial biosphere models
Ano2013
Data de Acesso26 jun. 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1165 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-Mailmarcelo.pazos@inpe.br
RevistaAgricultural and Forest Meteorology
Volume182-183
Páginas145-155
Nota SecundáriaA1 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 Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãofinaldraft
Palavras-Chaveannual variation
biosphere
carbon flux
cerrado
ecotone
evapotranspiration
flux measurement
land surface
net ecosystem exchange
pasture
rainfall
rainforest
savanna
surface flux
water flow
Amazonia
Brazil
ResumoThis 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.
ÁreaCST
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Inter-annual variability of...
Arranjo 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CST > Inter-annual variability of...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP5W34M/3FA43Q5
URL dos dados zipadoshttp://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP5W34M/3FA43Q5
Idiomaen
Arquivo AlvoCvonRandow_LBA-DMIP_finaldraft.pdf
Grupo de Usuáriosadministrator
marcelo.pazos@inpe.br
self-uploading-INPE-MCTI-GOV-BR
Grupo de Leitoresadministrator
marcelo.pazos@inpe.br
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3EUPEJL
8JMKD3MGPCW/449U4PL
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.06.18.03 7
sid.inpe.br/bibdigital/2021/03.06.05.18 3
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal 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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