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1. Identificação
Tipo de ReferênciaResumo em Evento (Conference Proceedings)
Sitemtc-m16d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP7W/385P3MP
Repositóriosid.inpe.br/mtc-m19/2010/08.25.17.41
Repositório de Metadadossid.inpe.br/mtc-m19/2010/08.25.17.41.49
Última Atualização dos Metadados2021:02.10.18.37.08 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoChristoffersenABCGIKMMRRSSVZ:2010:BaInEc
TítuloA basin-wide intercomparison of ecosystem land surface models and carbon and water flux observations in Amazonia
Ano2010
Data de Acesso30 jun. 2024
Tipo SecundárioPRE CI
2. Contextualização
Autor 1 Christoffersen, B J
 2 Araujo, A
 3 Baker, I T
 4 Costa, M H
 5 Goncalves, Luis Gustavo
 6 Imbuzeiro, H A
 7 Kruijt, B
 8 Manzi, A
 9 Muza, M
10 Restrepo-Coupe, N
11 da Rocha, H R
12 Sakaguchi, K
13 Saleska, S R
14 Von Randow, Celso
15 Zeng, X
Grupo 1
 2 CPT-CPT-INPE-MCT-BR
 3
 4
 5 DMD-CPT-INPE-MCT-BR
 6
 7
 8
 9
10
11
12
13
14 CST-CST-INPE-MCT-BR
Afiliação 1 Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Atmospheric Science, Colorado State University, Fort Collins, CO, USA
 4 Meteorologia, Universidade Federal de Vioçsa, Viçosa, Brazil
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 Meteorologia, Universidade Federal de Vioçsa, Viçosa, Brazil
 7 University of Wageningen, Alterra, Netherlands
 8 Instituto Nacional de Pesquisas da Amazonia (INPA), Manaus, Brazil
 9 Hydrological Sciences Branch, NASA Goddard Space Flight Center, Greenbelt, MD, USA
10 Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
11
12 Departamento de Ciências Atmosféricas, Universidade de São Paulo, São Paulo, Brazil
13 Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
14 Instituto Nacional de Pesquisas Espaciais (INPE)
15 Atmospheric Sciences, University of Arizona, Tucson, AZ, USA
Endereço de e-Mail do Autor 1 bchristo@email.arizona.edu
 2 alessandro.araujo@gmail.com
 3 baker@atmos.colostate.edu
 4 mhcosta@ufv.br
 5 gustavo.goncalves@cptec.inpe.br
 6 hewlley@vicosa.ufv.br
 7 bart.kruijt@wur.nl
 8 manzi@inpa.gov.br
 9 mmuza@umd.edu
10 ncoupe@email.arizona.edu
11 humberto@model.iag.usp.br
12 ksa@email.arizona.edu
13 saleska@email.arizona.edu
14 celso.vonrandow@cptec.inpe.br
15 xubin@atmo.arizona.edu
Nome do EventoThe Meeting of the Americas.
Localização do EventoFoa do Iguaçu, BR
Data8-12 aug 2010
Editora (Publisher)AGU
Título do LivroAbstracts
Tipo TerciárioExtended Abstact
Histórico (UTC)2010-12-01 15:32:20 :: valdirene -> administrator :: 2010
2021-02-10 18:37:08 :: administrator -> valdirene :: 2010
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Palavras-Chavebiogeochemical cycles
processes
modeling
carbon cycling
ecosystems
structure
dynamics
ResumoThe Amazon forest plays an important and complex role in the global water and carbon cycle, and important advances have been made in understanding the underlying processes in recent years. However, reconciling modeled mechanisms with observations across scales remains a challenge. To better address this challenge, we initiated a Model Intercomparison Project for the Large-Scale Biosphere Atmosphere Experiment in Amazonia (LBA-MIP) to integrate modeling and observational studies for improved understanding of Amazon basin water and carbon cycling. Here, we report on further analysis from this project, which uses a network of meteorological observational sites (the BrasilFlux network) in forest and converted lands to drive a suite of land surface ecosystem models that simulate energy, water and CO2 fluxes. We focus here on controls on gross primary photosynthesis (GPP) and evapotranspiration (ET), and in particular on how well models capture the observed diurnal and seasonal cycles across sites. Light, moisture, and phenological controls on GPP and ET were intercompared across models and observations. Available energy as the dominant control on ET across the Amazon basin is best reproduced by those models with high moisture storage capacity, but models were able to accomplish this via different ecohydrological mechanisms. Further, some models which capture observed seasonal cycles in ET predict unrealistic patterns of leaf area index (LAI) and/or overestimate photosynthesis and light use efficiency (LUE). Modeled photosynthesis by many models also remains oversensitive to short-term drought in evergreen seasonally dry forests. This analysis highlights the need to incorporate more realistic soil-root-leaf continuum hydraulics in models and invest in ancillary measurements at flux tower sites (e.g., deep soil moisture profiles, LAI, and litterfall) designed to aid empirical discrimination among different model mechanisms used to match observed seasonal patterns.
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4. Condições de acesso e uso
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Grupo de Usuáriosvaldirene
administrator
Visibilidadeshown
5. Fontes relacionadas
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Unidades Imediatamente Superiores8JMKD3MGPCW/3EUPEJL
8JMKD3MGPCW/3F3T29H
8JMKD3MGPCW/43SKC35
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notas
Campos Vaziosarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition editor format isbn issn label lineage mark nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark type url versiontype volume
7. Controle da descrição
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