@Article{BragaERAFFPHJKLMPSVWWPP:2021:ClDrNu,
author = "Braga, Ramon Campos and Ervens, Barbara and Rosenfeld, Daniel and
Andreae, Meinrat O. and F{\"o}rster, Jan-David and F{\"u}tterer,
Daniel and Pardo, Lianet Hern{\'a}ndez and Holanda, Bruna A. and
Jurkat, Tina and Kr{\"u}ger, Ovid O. and Lauer, Oliver and
Machado, Luiz Augusto Toledo and P{\"o}hlker, Christopher and
Sauer, Daniel and Voigt, Christiane and Walser, Adrian and
Wendisch, Manfred and P{\"o}schl, Ulrich and P{\"o}hlker, Mira
L.",
affiliation = "{Max Planck Institute for Chemistry} and {Universit{\'e} Clermont
Auvergne} and {The Hebrew University of Jerusalem} and {Max Planck
Institute for Chemistry} and {Max Planck Institute for Chemistry}
and {German Aerospace Center (DLR)} and {Max Planck Institute for
Chemistry} and {Max Planck Institute for Chemistry} and {German
Aerospace Center (DLR)} and {Max Planck Institute for Chemistry}
and {Max Planck Institute for Chemistry} and {Instituto Nacional
de Pesquisas Espaciais (INPE)} and {Max Planck Institute for
Chemistry} and {German Aerospace Center (DLR)} and {German
Aerospace Center (DLR)} and {German Aerospace Center (DLR)} and
{University of Leipzig} and {Max Planck Institute for Chemistry}
and {Max Planck Institute for Chemistry}",
title = "Cloud droplet number closure for tropical convective clouds during
the ACRIDICON–CHUVA campaign",
journal = "Atmospheric Chemistry and Physics Discussion",
year = "2021",
volume = "2021",
pages = "1--17",
abstract = "The main objective of the ACRIDICON-CHUVA (Aerosol, Cloud,
Precipitation, and Radiation Interactions and Dynamics of
Convective Cloud SystemsCloud 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.",
doi = "10.5194/acp-2021-80",
url = "http://dx.doi.org/10.5194/acp-2021-80",
issn = "1680-7367",
language = "en",
targetfile = "braga_cloud.pdf",
urlaccessdate = "09 maio 2024"
}