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Surface-Atmosphere Coupling Scale, the Fate of Water, and Ecophysiological Function in a Brazilian Forest.
Baker, Ian T; Denning, A Scott; Dazlich, Don A; Harper, Anna B; Branson, Mark D; Randall, David A; Phillips, Morgan C; Haynes, Katherine D; Gallup, Sarah M.
Afiliação
  • Baker IT; Atmospheric Science Department Colorado State University Fort Collins CO USA.
  • Denning AS; Atmospheric Science Department Colorado State University Fort Collins CO USA.
  • Dazlich DA; Atmospheric Science Department Colorado State University Fort Collins CO USA.
  • Harper AB; College of Engineering, Mathematics, and Physical Sciences University of Exeter Exeter England.
  • Branson MD; Atmospheric Science Department Colorado State University Fort Collins CO USA.
  • Randall DA; Atmospheric Science Department Colorado State University Fort Collins CO USA.
  • Phillips MC; Atmospheric Science Department Colorado State University Fort Collins CO USA.
  • Haynes KD; Atmospheric Science Department Colorado State University Fort Collins CO USA.
  • Gallup SM; Atmospheric Science Department Colorado State University Fort Collins CO USA.
J Adv Model Earth Syst ; 11(8): 2523-2546, 2019 Aug.
Article em En | MEDLINE | ID: mdl-31749898
Tropical South America plays a central role in global climate. Bowen ratio teleconnects to circulation and precipitation processes far afield, and the global CO2 growth rate is strongly influenced by carbon cycle processes in South America. However, quantification of basin-wide seasonality of flux partitioning between latent and sensible heat, the response to anomalies around climatic norms, and understanding of the processes and mechanisms that control the carbon cycle remains elusive. Here, we investigate simulated surface-atmosphere interaction at a single site in Brazil, using models with different representations of precipitation and cloud processes, as well as differences in scale of coupling between the surface and atmosphere. We find that the model with parameterized clouds/precipitation has a tendency toward unrealistic perpetual light precipitation, while models with explicit treatment of clouds produce more intense and less frequent rain. Models that couple the surface to the atmosphere on the scale of kilometers, as opposed to tens or hundreds of kilometers, produce even more realistic distributions of rainfall. Rainfall intensity has direct consequences for the "fate of water," or the pathway that a hydrometeor follows once it interacts with the surface. We find that the model with explicit treatment of cloud processes, coupled to the surface at small scales, is the most realistic when compared to observations. These results have implications for simulations of global climate, as the use of models with explicit (as opposed to parameterized) cloud representations becomes more widespread.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Brasil Idioma: En Revista: J Adv Model Earth Syst Ano de publicação: 2019 Tipo de documento: Article País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Brasil Idioma: En Revista: J Adv Model Earth Syst Ano de publicação: 2019 Tipo de documento: Article País de publicação: Estados Unidos