Interactions Between the Amazonian Rainforest and Cumuli Clouds: A Large‐Eddy Simulation, High‐Resolution ECMWF, and Observational Intercomparison Study. (10th July 2020)

• Record Type: Journal Article
• Authors: Vilà‐Guerau de Arellano, J.; Wang, X.; Pedruzo‐Bagazgoitia, X.; Sikma, M.; Agustí‐Panareda, A.; Boussetta, S.; Balsamo, G.; Machado, L. A. T.; Biscaro, T.; Gentine, P.; Martin, S. T.; Fuentes, J. D.; Gerken, T.
• Is Part Of: Journal of advances in modeling earth systems. Volume 12:Number 7(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-07-10
• Subjects: Amazonian rainforest -- vegetation‐cloud intercation -- large‐eddy simulation -- global weather model; Geological modeling -- Periodicals; Climatology -- Periodicals; Geochemical modeling -- Periodicals; 551.5011
• DOI: 10.1029/2019MS001828
• Languages: English
• ISSNs: 1942-2466

Abstract

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. Plain Language Summary: Clouds and forest in the Amazonian rainforest region are closely related. We investigated the final month of the Amazonian dry season in order to study interactions between the rainforest and the overlying atmosphere, placing particular emphasis on studying small spatiotemporal effects, such as that of cloud shading on photosynthesis. We employed three different methods: a cloud‐turbulence resolving model, a global weather model, and a complete set of canopy‐top and atmospheric observations. We holistically studied these relationships by systematically analyzing the characteristics of incoming solar radiation, evapotranspiration, and cloud cover and thickness. This comparison enabled us to make two relevant findings related to these diurnal carbon and cloud cycles. First, we observed that photosynthesis is offset by the soil carbon dioxide efflux earlier than the two models calculations. With respect to cloud formation and intensification, we showed quantitatively that the inefficiently modeled moisture transport leads to less active shallow convection, which may be insufficient to trigger deep convection. This systematic study paves the way for more comprehensive studies that would include more complex descriptions of microphysics processes and radiation, as well as chemistry and aerosol formation. Key Points: Explicit interactions between carbon uptake and clouds on subdaily and subkilometer scales are modeled and validated NEE observations show an early afternoon shift from a CO2 sink to a source, whereas in the model results, the CO2 uptake is longer Observations and DALES results show enhancement of moisture transport at cloud base that favors triggering afternoon deep convection