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  Cloud droplet number closure for tropical convective clouds during the ACRIDICON–CHUVA campaign

Braga, R. C., Ervens, B., Rosenfeld, D., Andreae, M. O., Förster, J.-D., Fütterer, D., et al. (2021). Cloud droplet number closure for tropical convective clouds during the ACRIDICON–CHUVA campaign. Atmospheric Chemistry and Physics Discussions, 21. doi:10.5194/acp-2021-80.

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Braga, Ramon Campos1, Author              
Ervens, Barbara, Author
Rosenfeld, Daniel, Author
Andreae, Meinrat O.1, Author              
Förster, Jan-David1, Author              
Fütterer, Daniel, Author
Pardo, Lianet Hernandez1, Author              
Holanda, Bruna A.1, Author              
Jurkat, Tina, Author
Krüger, Ovid O.1, Author              
Lauer, Oliver1, Author              
Machado , Luiz A. T., Author
Pöhlker, Christopher1, Author              
Sauer, Daniel, Author
Voigt, Christiane, Author
Walser, Adrian, Author
Wendisch, Manfred, Author
Pöschl, Ulrich1, Author              
Pöhlker, Mira L.1, Author              
Affiliations:
1Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826290              

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 Abstract: The main objective of the ACRIDICON-CHUVA (Aerosol, Cloud, Precipitation, and Radiation Interactions and Dynamics of Convective Cloud Systems–Cloud Processes of the Main Precipitation Systems in Brazil: A Contribution to Cloud Resolving Modeling and to the Global Precipitation measurements) campaign in September 2014 was the investigation of aerosol-cloud-interactions in the Amazon Basin. Cloud properties near cloud base of growing convective cumuli were characterized by cloud droplet size distribution measurements using a cloud combination probe (CCP) and a cloud and aerosol spectrometer (CAS-DPOL). In the current study, an adiabatic parcel model was used to perform cloud droplet number (Nd) closure studies for several flights in differently polluted air masses. Model input parameters included aerosol size distributions, measured with an ultra-high sensitive aerosol spectrometer (UHSAS), in combination with a condensation particle counter (CPC). Updraft speeds (w) were measured near cloud base using a boom-mounted Rosemount model 858 AJ probe. To compare to model predictions, measured Nd and w were statistically matched based on equal percentiles of occurrence. Reasonable agreement between measured and predicted Nd was achieved when a particle hygroscopicity of κ ~ 0.1 is assumed. Similar closure results were obtained when the variability in the particle number concentration was taken into account. We conclude that Nd can be predicted using a single κ, and measured aerosol particle number concentration below cloud base when w is constrained based on measurements. In accordance with previous adiabatic air parcel model studies, the largest disagreements between predicted and measured Nd were found when updraft speeds were high (w > 2.5 m s−1) or in the presence of a bimodal aerosol size distribution. We show that simplifying assumptions on κ might not be appropriate when the aerosol size distribution is comprised of both distinct Aitken and accumulation modes, as predicted Nd clearly deviate from measured ones at w ≥ 1 m s−1 which points to a contribution of Aitken mode particles to Nd.

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Language(s): eng - English
 Dates: 2021-03-16
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: No review
 Identifiers: DOI: 10.5194/acp-2021-80
 Degree: -

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Title: Atmospheric Chemistry and Physics Discussions
  Abbreviation : Atmos. Chem. Phys. Discuss.
Source Genre: Journal
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Publ. Info: Katlenburg-Lindau, Germany : European Geophysical Society, Copernicus Publ.
Pages: 17 Volume / Issue: 21 Sequence Number: - Start / End Page: - Identifier: ISSN: 1680-7367
CoNE: https://pure.mpg.de/cone/journals/resource/111076360006006