Understanding water and energy fluxes in the Amazonia: Lessons from an observation-model intercomparison.
Amazonia
climate interactions
ecosystem
eddy covariance flux seasonality
energy balance
evapotranspiration
land surface models
tropical forests
Journal
Global change biology
ISSN: 1365-2486
Titre abrégé: Glob Chang Biol
Pays: England
ID NLM: 9888746
Informations de publication
Date de publication:
05 2021
05 2021
Historique:
revised:
18
01
2021
received:
10
08
2020
accepted:
03
02
2021
pubmed:
11
2
2021
medline:
24
4
2021
entrez:
10
2
2021
Statut:
ppublish
Résumé
Tropical 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 Caxiuanã and Tapajós 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
Substances chimiques
Water
059QF0KO0R
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1802-1819Subventions
Organisme : Gordon and Betty Moore Foundation
Organisme : NASA
ID : LBA CD-32
Pays : United States
Organisme : NASA
ID : NNX17AF65G
Pays : United States
Organisme : NASA
ID : NNX09AL52G
Pays : United States
Organisme : U.S. DOE
Organisme : Natural Environment Research Council
ID : NE/N017951/1
Organisme : Institute at Brown for Environment and Society
Organisme : NASA
ID : LBA CD-32
Pays : United States
Organisme : NASA
ID : NNX17AF65G
Pays : United States
Organisme : NASA
ID : NNX09AL52G
Pays : United States
Informations de copyright
© 2021 John Wiley & Sons Ltd.
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