EGU24-2905, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-2905
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

CloudRoots-Amazon22: Integrating clouds with photosynthesis by crossing scales

Jordi Vila-Guerau de Arellano1 and the CloudRoots-Amazon22*
Jordi Vila-Guerau de Arellano and the CloudRoots-Amazon22
  • 1Wageningen University, Meteorology and Air Quality, Wageningen, Netherlands (jordi.vila@wur.nl)
  • *A full list of authors appears at the end of the abstract

How are rainforest photosynthesis and turbulent fluxes influenced by clouds? To what extent are clouds affected by local processes driven by rainforest energy, water and carbon fluxes? These interrelated questions were the main drivers of the intensive field experiment CloudRoots-Amazon22 which took place at the ATTO/Campina supersites in the Amazon rainforest during the dry season, in August 2022. CloudRoots-Amazon22 collected observational data to derive causal-effect relationships between processes occurring at the leaf-level up to canopy scales in relation to the diurnal evolution of the clear-to-cloudy transition. First, we studied the impact of cloud and canopy radiation perturbations on the sub-diurnal variability of stomatal aperture. We found an asymmetry modulated by clouds that favors photosynthesis in the morning. Second, we combined 1 Hz-frequency measurements of the stable isotopologues of carbon dioxide and water vapor with measurements of turbulence to determine carbon dioxide and water vapor sources and sinks within the canopy. Using scintillometer observations, we inferred 1-minute sensible heat flux that responded within minutes to the cloud passages. Third, collocated profiles of state variables and greenhouse gases enabled us to determine the role of clouds in vertical transport. We then inferred the area fraction of cloud cover and cloud mass flux to probe the need of collecting a comprehensive data set to establish casualty between canopy and cloud processes and improve the representations in weather and climate models. Our findings contribute to advance our process knowledge of the coupling between cloudy boundary layers and primary carbon productivity of the Amazon rainforest.

CloudRoots-Amazon22:

J. Vilà-Guerau de Arellano , O. K. Hartogensis, H. de Boer, R. Moonen, R.González-Armas, M. Janssens, G. A. Adnew,D. J. Bonell-Fontás, S. Botía, S. P. Jones, H. van Asperen, S. Komiya,5 V. S. de Feiter, D. Rikkers, S. de Haas, L. A. T. Machado, C. Q. Dias-Junior, G. Giovanelli-Haytzmann, W. I. D. Valenti, R. C. Figueiredo, C. S. Farias, D. H. Hall, A. C. S. Mendonca F. A. G. da Silva, J. L. Marton da Silva, R. Souza, G. Martins, J. N. Miller, W. B. Mol, B. Heusinkveld, C. C. van Heerwaarden, F. A. F. D’Oliveira, R. Rodrigues Ferreira, R. Acosta Gotuzzo, G. Pugliese, J. Williams, A. Ringsdorf, A. Edtbauer, C. A. Quesada, B. Takeshi Tanaka Portela, E. Gomes Alves, C. Pohlker, S. Trumbore, J. Lelieveld,T. Roeckmann

How to cite: Vila-Guerau de Arellano, J. and the CloudRoots-Amazon22: CloudRoots-Amazon22: Integrating clouds with photosynthesis by crossing scales, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2905, https://doi.org/10.5194/egusphere-egu24-2905, 2024.