Preprints
https://doi.org/10.5194/acp-2021-1014
https://doi.org/10.5194/acp-2021-1014
 
06 Jan 2022
06 Jan 2022
Status: a revised version of this preprint is currently under review for the journal ACP.

Interaction between cloud-radiation, atmospheric dynamics and thermodynamics based on observational data from GoAmazon 2014/15 and a Cloud Resolving Model

Layrson J. M. Gonçalves, Simone M. S. C. Coelho, Paulo Y. Kubota, and Dayana C. Souza Layrson J. M. Gonçalves et al.
  • National Institute for Space Research, Cachoeira Paulista, SP, 12630000, Brazil

Abstract. Observational meteorological data from the field experiment GoAmazon 2014/15 and data from numerical simulations with the Cloud-Resolving Model (CRM) called System for Atmospheric Modeling (SAM) are used to study the interaction between the cloudiness-radiation and the atmospheric dynamics and thermodynamics variables for a site located in the central Amazon region (−3.2° S, −60.6° W) during the wet and dry periods. The main aims are to (a) analyze the temporal series of the integrated cloud fraction, precipitation rate and downward shortwave flux; and (b) to determine the relationship between the integrated cloud fraction, radiative fluxes, and large-scale variable anomalies as a function of the previous day's average. The temporal series of the integrated cloud fraction, precipitation rate and downward shortwave flux from SAMS simulations showed physical consistency with the observations from GoAmazon 2014/15. Shallow and deep convection clouds show to have meaningful impact on radiation fluxes in the Amazon region during wet and dry periods. Anomalies of large-scale variables (relative to the previous day's average) are physically associated with cloud formation, evolution and dissipation. SAM consistently simulated these results, where the cloud fraction vertical profile shows a pattern very close to the observed data (cloud type). Additionally, the integrated cloud fraction and large-scale variable anomalies, as a function of the previous day's average, have a good correlation. These results suggest that the memory of the large-scale dynamics from previous day can be used to estimate the clouds fraction. As well as the water content, which is a variable of the cloud itself. In general, the SAM satisfactorily simulated the interaction between cloud-radiation and dynamic and thermodynamic variables of the atmosphere during the periods of this study, being indicated to obtain atmospheric variables that are impossible to obtain in an observational way.

Layrson J. M. Gonçalves et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-1014', Anonymous Referee #1, 25 Jan 2022
    • AC1: 'Reply on RC1', Layrson Gonçalves, 27 Jan 2022
  • RC2: 'Comment on acp-2021-1014', Anonymous Referee #2, 31 Jan 2022
    • AC2: 'Reply on RC2', Layrson Gonçalves, 18 Apr 2022

Layrson J. M. Gonçalves et al.

Layrson J. M. Gonçalves et al.

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Short summary
This research aims to study the environmental conditions that are favorable and not favorable to cloud formation, in this case, specifically for the Amazon region. The results found in this research will be used to improve the representation of clouds in numerical models that are used in weather and climate prediction. In general, it is expected that with better knowledge regarding the cloud-radiation interaction, it is possible to make a better forecast of weather and climate.
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