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1. Identity statement
Reference TypeConference Abstract (Conference Proceedings)
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/385P3MP
Repositorysid.inpe.br/mtc-m19/2010/08.25.17.41
Metadata Repositorysid.inpe.br/mtc-m19/2010/08.25.17.41.49
Metadata Last Update2021:02.10.18.37.08 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyChristoffersenABCGIKMMRRSSVZ:2010:BaInEc
TitleA basin-wide intercomparison of ecosystem land surface models and carbon and water flux observations in Amazonia
Year2010
Access Date2024, Apr. 24
Secondary TypePRE CI
2. Context
Author 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
Group 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
Affiliation 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
Author e-Mail Address 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
Conference NameThe Meeting of the Americas.
Conference LocationFoa do Iguaçu, BR
Date8-12 aug 2010
PublisherAGU
Book TitleAbstracts
Tertiary TypeExtended Abstact
History (UTC)2010-12-01 15:32:20 :: valdirene -> administrator :: 2010
2021-02-10 18:37:08 :: administrator -> valdirene :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsbiogeochemical cycles
processes
modeling
carbon cycling
ecosystems
structure
dynamics
AbstractThe 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.
AreaCST
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4. Conditions of access and use
Languageen
User Groupvaldirene
administrator
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Next Higher Units8JMKD3MGPCW/3EUPEJL
8JMKD3MGPCW/3F3T29H
8JMKD3MGPCW/43SKC35
Host Collectionsid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notes
Empty Fieldsarchivingpolicy 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
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