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Title: Interactions Between the Amazonian Rainforest and Cumuli Clouds: A Large‐Eddy Simulation, High‐Resolution ECMWF, and Observational Intercomparison Study

Journal Article · · Journal of Advances in Modeling Earth Systems
DOI:https://doi.org/10.1029/2019MS001828· OSTI ID:1638098
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [3];  [3]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [5]; ORCiD logo [6]; ORCiD logo [7]; ORCiD logo [8]; ORCiD logo [8]
  1. Meteorology and Air Quality Section Wageningen University Wageningen Netherlands, Atmospheric Chemistry Department Max Planck Institute for Chemistry Mainz Germany
  2. Meteorology and Air Quality Section Wageningen University Wageningen Netherlands
  3. European Centre for Medium‐Range Forecast Reading UK
  4. Centro de Previsao de Tempo e Estudios Climaticos, INPE Sao Jose dos Campos Brasil, Multiphase Chemistry Department Max Planck Institute for Chemistry Mainz Germany
  5. Centro de Previsao de Tempo e Estudios Climaticos, INPE Sao Jose dos Campos Brasil
  6. Earth and Environmental Engineering Columbia University New York NY USA
  7. Department of Earth and Planetary Sciences Harvard University Cambridge MA USA
  8. Department of Meteorology and Atmospheric Science The Pennsylvania State University University Park PA USA

Abstract The explicit coupling at meter and second scales of vegetation's responses to the atmospheric‐boundary layer dynamics drives a dynamic heterogeneity that influences canopy‐top fluxes and cloud formation. Focusing on a representative day during the Amazonian dry season, we investigate the diurnal cycle of energy, moisture and carbon dioxide at the canopy top, and the transition from clear to cloudy conditions. To this end, we compare results from a large‐eddy simulation technique, a high‐resolution global weather model, and a complete observational data set collected during the GoAmazon14/15 campaign. The overall model‐observation comparisons of radiation and canopy‐top fluxes, turbulence, and cloud dynamics are very satisfactory, with all the modeled variables lying within the standard deviation of the monthly aggregated observations. Our analysis indicates that the timing of the change in the daylight carbon exchange, from a sink to a source, remains uncertain and is probably related to the stomata closure caused by the increase in vapor pressure deficit during the afternoon. We demonstrate quantitatively that heat and moisture transport from the subcloud layer into the cloud layer are misrepresented by the global model, yielding low values of specific humidity and thermal instability above the cloud base. Finally, the numerical simulations and observational data are adequate settings for benchmarking more comprehensive studies of plant responses, microphysics, and radiation.

Sponsoring Organization:
USDOE
Grant/Contract Number:
SC0011075
OSTI ID:
1638098
Alternate ID(s):
OSTI ID: 1638099
Journal Information:
Journal of Advances in Modeling Earth Systems, Journal Name: Journal of Advances in Modeling Earth Systems Vol. 12 Journal Issue: 7; ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 11 works
Citation information provided by
Web of Science

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