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

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 CO 2 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, coupledmore » 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.« less

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Atmospheric Science Department Colorado State University Fort Collins CO USA
  2. College of Engineering, Mathematics, and Physical Sciences University of Exeter Exeter England
Publication Date:
Research Org.:
Colorado State Univ., Fort Collins, CO (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Aeronautics and Space Administration (NASA); National Science Foundation (NSF)
OSTI Identifier:
1567938
Alternate Identifier(s):
OSTI ID: 1567941; OSTI ID: 1612197
Grant/Contract Number:  
SC0014438; NNX14AI52G; AGS-1049041
Resource Type:
Published Article
Journal Name:
Journal of Advances in Modeling Earth Systems
Additional Journal Information:
Journal Name: Journal of Advances in Modeling Earth Systems Journal Volume: 11 Journal Issue: 8; Journal ID: ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; meteorology & atmospheric sciences; land‐atmosphere interaction; multiscale modeling; carbon cycle; tropical ecophysiology

Citation Formats

Baker, Ian T., Denning, A. Scott, Dazlich, Don A., Harper, Anna B., Branson, Mark D., Randall, David A., Phillips, Morgan C., Haynes, Katherine D., and Gallup, Sarah M. Surface‐Atmosphere Coupling Scale, the Fate of Water, and Ecophysiological Function in a Brazilian Forest. United States: N. p., 2019. Web. doi:10.1029/2019MS001650.
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. Surface‐Atmosphere Coupling Scale, the Fate of Water, and Ecophysiological Function in a Brazilian Forest. United States. https://doi.org/10.1029/2019MS001650
Baker, Ian T., Denning, A. Scott, Dazlich, Don A., Harper, Anna B., Branson, Mark D., Randall, David A., Phillips, Morgan C., Haynes, Katherine D., and Gallup, Sarah M. Mon . "Surface‐Atmosphere Coupling Scale, the Fate of Water, and Ecophysiological Function in a Brazilian Forest". United States. https://doi.org/10.1029/2019MS001650.
@article{osti_1567938,
title = {Surface‐Atmosphere Coupling Scale, the Fate of Water, and Ecophysiological Function in a Brazilian Forest},
author = {Baker, Ian T. and Denning, A. Scott and Dazlich, Don A. and Harper, Anna B. and Branson, Mark D. and Randall, David A. and Phillips, Morgan C. and Haynes, Katherine D. and Gallup, Sarah M.},
abstractNote = {Abstract Tropical South America plays a central role in global climate. Bowen ratio teleconnects to circulation and precipitation processes far afield, and the global CO 2 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.},
doi = {10.1029/2019MS001650},
journal = {Journal of Advances in Modeling Earth Systems},
number = 8,
volume = 11,
place = {United States},
year = {Mon Aug 05 00:00:00 EDT 2019},
month = {Mon Aug 05 00:00:00 EDT 2019}
}

Journal Article:
Free Publicly Available Full Text
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https://doi.org/10.1029/2019MS001650

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