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Surface‐Atmosphere Coupling Scale, the Fate of Water, and Ecophysiological Function in a Brazilian Forest

Authors :
Ian T. Baker
A.Scott Denning
Don A. Dazlich
Anna B. Harper
Mark D. Branson
David A. Randall
Morgan C. Phillips
Katherine D. Haynes
Sarah M. Gallup
Source :
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 8, Pp 2523-2546 (2019)
Publication Year :
2019
Publisher :
American Geophysical Union (AGU), 2019.

Abstract

Abstract 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.

Details

Language :
English
ISSN :
19422466
Volume :
11
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Journal of Advances in Modeling Earth Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.4e4932d8459042f88ffd80fdfa75f874
Document Type :
article
Full Text :
https://doi.org/10.1029/2019MS001650