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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/44KEA8P
Repositorysid.inpe.br/mtc-m21c/2021/05.03.14.05   (restricted access)
Last Update2021:05.03.14.05.30 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2021/05.03.14.05.30
Metadata Last Update2022:04.03.22.28.35 (UTC) administrator
DOI10.1111/gcb.15555
ISSN1354-1013
Citation KeyRestrepo-CoupeALBLMACCFGIMVZMS:2021:LeObIn
TitleUnderstanding water and energy fluxes in the Amazonia: Lessons from an observation-model intercomparison
Year2021
MonthMar.
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2046 KiB
2. Context
Author 1 Restrepo-Coupe, Natália
 2 Albert, Loren P.
 3 Longo, Marcos
 4 Baker, Ian
 5 Levine, Naomi M.
 6 Mercado, Lina M.
 7 Araújo, Alessandro C. da
 8 Christofferson, Bradley O'Donnell
 9 Costa, Marcos H.
10 Fitzjarrald, David R.
11 Galbraith, David
12 Imbuzeiro, Hewlley
13 Malhi, Yadvinder
14 Von Randow, Celso
15 Zeng, Xubin
16 Moorcroft, Paul
17 Saleska, Scott R.
ORCID 1 0000-0003-3921-1772
 2 0000-0002-9674-6071
 3 0000-0001-5062-6245
 4 0000-0001-5162-1956
 5 0000-0002-4963-0535
Group 1
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14 DIIAV-CGCT-INPE-MCTI-GOV-BR
Affiliation 1 University of Arizona
 2 University of Arizona
 3 Harvard University
 4 Colorado State University
 5 Harvard University
 6 University of Exeter
 7 Embrapa Amazônia Oriental
 8 University of Texas Rio Grande Valley
 9 Universidade Federal de Viçosa (UFV)
10 University at Albany
11 University of Leeds
12 Universidade Federal de Viçosa (UFV)
13 University of Oxford
14 Instituto Nacional de Pesquisas Espaciais (INPE)
15 University of Arizona
16 California Institute of Technology
17 University of Arizona
Author e-Mail Address 1 nataliacoupe@gmail.com
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14 celso.vonrandow@inpe.br
JournalGlobal Change Biology
Volume27
Number9
Pages1802-1819
Secondary MarkA1_MEDICINA_I A1_INTERDISCIPLINAR A1_GEOGRAFIA A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE A2_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_ASTRONOMIA_/_FÍSICA B1_EDUCAÇÃO C_ENGENHARIAS_II
History (UTC)2021-05-03 14:05:30 :: simone -> administrator ::
2021-05-03 14:05:31 :: administrator -> simone :: 2021
2021-05-03 14:09:23 :: simone -> administrator :: 2021
2021-06-22 19:11:17 :: administrator -> simone :: 2021
2021-06-22 20:34:12 :: simone -> administrator :: 2021
2022-04-03 22:28:35 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAmazonia
climate interactions
ecosystem
eddy covariance flux seasonality
energy balance
evapotranspiration
land surface models
tropical forests
AbstractTropical forests are an important part of global water and energy cycles, but the mechanisms that drive seasonality of their land-atmosphere exchanges have proven challenging to capture in models. Here, we (1) report the seasonality of fluxes of latent heat (LE), sensible heat (H), and outgoing short and longwave radiation at four diverse tropical forest sites across Amazonia-along the equator from the Caxiuana and Tapajos National Forests in the eastern Amazon to a forest near Manaus, and from the equatorial zone to the southern forest in Reserva Jaru; (2) investigate how vegetation and climate influence these fluxes; and (3) evaluate land surface model performance by comparing simulations to observations. We found that previously identified failure of models to capture observed dry-season increases in evapotranspiration (ET) was associated with model overestimations of (1) magnitude and seasonality of Bowen ratios (relative to aseasonal observations in which sensible was only 20%-30% of the latent heat flux) indicating model exaggerated water limitation, (2) canopy emissivity and reflectance (albedo was only 10%-15% of incoming solar radiation, compared to 0.15%-0.22% simulated), and (3) vegetation temperatures (due to underestimation of dry-season ET and associated cooling). These partially compensating model-observation discrepancies (e.g., higher temperatures expected from excess Bowen ratios were partially ameliorated by brighter leaves and more interception/evaporation) significantly biased seasonal model estimates of net radiation (R-n), the key driver of water and energy fluxes (LE similar to 0.6 R-n and H similar to 0.15 R-n), though these biases varied among sites and models. A better representation of energy-related parameters associated with dynamic phenology (e.g., leaf optical properties, canopy interception, and skin temperature) could improve simulations and benchmarking of current vegetation-atmosphere exchange and reduce uncertainty of regional and global biogeochemical models.
AreaCST
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Understanding water and...
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Languageen
Target Filecoupe_understanding.pdf
User Groupsimone
Reader Groupadministrator
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Visibilityshown
Archiving Policydenypublisher denyfinaldraft
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.22.23 1
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
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