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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m12.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositóriosid.inpe.br/iris@1912/2005/12.09.18.14   (acesso restrito)
Última Atualização2013:02.08.12.47.26 (UTC) marciana
Repositório de Metadadossid.inpe.br/iris@1912/2005/12.09.18.14.07
Última Atualização dos Metadados2018:06.05.00.40.33 (UTC) administrator
Chave SecundáriaINPE--PRE/
ISSN0168-1923
Chave de CitaçãoSimonLAGRMNAK:2005:LaDiRn
TítuloLagrangian dispersion of Rn-222, H2O and CO2 within Amazonian rain forest
Ano2005
MêsOCT
Data de Acesso13 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho488 KiB
2. Contextualização
Autor1 Simon, E.
2 Lehmann, B. E.
3 Ammann, C.
4 Ganzeveld, L.
5 Rummel, U.
6 Meixner, F. X.
7 Nobre, Antonio Donato
8 Araujo, A.
9 Kesselmeier, J.
Grupo1
2
3
4
5
6
7 DSR-INPE-MCT-BR
Afiliação1 Max Planck Inst Chem, Biogeochem Dept, D-55020 Mainz, Germany
2 Univ Bern, Inst Phys, CH-3012 Bern, Switzerland
3 Swiss Fed Res Stn Agroecol & Agr, Zurich, Switzerland
4 Max Planck Inst Chem, Atmospher Chem Dept, D-55128 Mainz, Germany
5 Meteorol Observ Lindenberg, Deutsch Wetterdienst, Lindenberg, Germany
6 Biogeochemistry Department, Max Planck Institute for Chemistry, P.O. Box 3060, D-55020 Mainz, Germany
7 Instituto Nacional de Pesquisas Espaciais, Divisão de Processamento de Imagens (INPE, DSR)
8 Faculty of Earth Sciences, University Amsterdam, Netherlands
9 Biogeochemistry Department, Max Planck Institute for Chemistry, P.O. Box 3060, D-55020 Mainz, Germany
RevistaAgricultural and Forest Meteorology
Volume132
Número3 -4
Páginas286-304
Histórico (UTC)2005-12-09 18:14:07 :: sergio -> administrator ::
2006-09-03 21:43:06 :: administrator -> sergio ::
2007-04-23 21:07:06 :: sergio -> administrator ::
2010-05-12 04:09:30 :: administrator -> marciana ::
2011-05-21 09:26:36 :: marciana -> administrator ::
2012-10-22 22:24:49 :: administrator -> marciana :: 2005
2013-02-08 13:11:57 :: marciana -> administrator :: 2005
2018-06-05 00:40:33 :: administrator -> marciana :: 2005
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chavecanopy layer turbulence
first-order closure
Lagrangian simulation model
nocturnal processes
rain forest
radon / ATMOSPHERIC BOUNDARY-LAYERS
NET ECOSYSTEM EXCHANGE
MODEL-PLANT CANOPY
DOUGLAS-FIR FOREST
CARBON-DIOXIDE
TROPICAL FOREST
TURBULENCE STATISTICS
SOURCE DISTRIBUTIONS
VEGETATION CANOPIES
SCALAR DISPERSION
ResumoThe present study focuses on the description of the vertical dispersion of trace gases within the Amazon rain forest. A Lagrangian approach is parameterised using in-canopy turbulence measurements made at a site in Rondonia (Reserva Jaru). In contrast to common scaling schemes that solely depend on friction parameters measured above the canopy, a combined scaling that also includes night-time free convective mixing in the lower part of dense vegetation canopies is proposed here. Rn-222 concentration profiles and soil flux measurements made at a second site near Manaus (Reserva Cuieiras) are used to evaluate the derived parameterisation and the uncertainties of the forward (prediction of concentration profiles) and inverse (prediction of vertical source/sink distributions) solution of the transfer equations. Averaged day- and night-time predictions of the forward solution agree with the observations within their uncertainty range. During night-time, a weak, but effective free convective mixing process in the lower canopy ensures a relatively high flushing rate with residence times of <1 h at half canopy height in contradiction to earlier estimates for Amazon rain forest. The inverse solution for Rn-222 source/sink distributions shows a high sensitivity to small measurement errors, especially for daytime conditions, when there is efficient turbulent mixing in the upper canopy and profile gradients are small. The inverse approach is also applied to CO2 and H2O profiles. The predicted net fluxes show a reasonable agreement with Eddy Covariance (EC) measurements made above the forest canopy, although the scatter is large and the day-time solutions for CO2 are very sensitive to measurement errors. However, this is not the case for typical night-time conditions, where the CO2 profile gradients in the upper canopy are large. The inverse approach predicts a mean CO2 emission flux of 7.5 mu mol m(-2) s(-1) for the investigation period. This value is somewhat larger compared to estimates based on EC measurements, which are quite uncertain at night-time and thus reduces the upper bound of the estimated carbon sink strength for Amazonian rain forest. (c) 2005 Elsevier B.V. All rights reserved.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Lagrangian dispersion of...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
DivulgaçãoWEBSCI; PORTALCAPES.
Acervo Hospedeirosid.inpe.br/banon/2001/04.06.10.52
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel doi e-mailaddress electronicmailaddress format identifier isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject targetfile tertiarymark tertiarytype typeofwork url
7. Controle da descrição
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