@InProceedings{RagaPozoTorrNico:2006:ThStIm,
author = "Raga, G. B. and Pozo, D. and Torres-Brizuela, M. and Nicolini,
M.",
affiliation = "Centro de Ciencias de la Atmosfera, Universidad Nacional Autonoma
de Mexico, Ciudad Universitaria, Mexico DF 04510, Mexico (Raga,
Pozo) and Centro de Investigaciones del Mar y de la Atmosfera y
Departamento de Ciencias de la Atmosfera y de los Oceanos,
Universidad de Buenos Aires, 2do Piso Pabellon II, Ciudad
Universitaria, Capital Federal 1428, Argentina (Torres-Brizuela,
Nicolini) and {}",
title = "A theoretical study of the impact of biomass-burning CCN on the
dynamics of deep convective clouds with mixed phase",
booktitle = "Proceedings...",
year = "2006",
editor = "Vera, Carolina and Nobre, Carlos",
pages = "683--688",
organization = "International Conference on Southern Hemisphere Meteorology and
Oceanography, 8. (ICSHMO).",
publisher = "American Meteorological Society (AMS)",
address = "45 Beacon Hill Road, Boston, MA, USA",
keywords = "Biomass burning, deep convection, autoconversion, accretion, cloud
dynamics.",
abstract = "Clouds are important components of the climate system as they
affect the Earth's albedo and they participate in the hydrological
cycle. One of the largest uncertainties in climate modelling is
related to the parameterization of convective processes and, in
particular, the question of how anthropogenic emissions may affect
the different types of clouds is still open. Most research has
been devoted to warm stratocumulus clouds, and only recently some
studies incoporate changes in cirrus and mixed phase clouds.
Emissions of gases and particles during biomass burning may affect
the microphysics and dynamics of clouds developingnear and
downwind of said emissions, and some studies have suggested that
precipitation may be inhibited. Nevertheless, there have not been
many studies that explore the effect that cloud condensation
nuclei (CCN) originated by biomass burning may have on deep
convective clouds, in which the ice phase is dominant. In this
study we have introduced changes in the parameterization of the
autoconversion and accretion processes in the Advanced Regional
Prediction System (ARPS, developed at the Center for the Analysis
and Prediction of Storm at the University of Oklahoma). The CCN
used in the model were obtained from literature, and correspond to
experimental studies in the Amazonia/Rondonia regions of recent
and aged particles. ARPS was run on thermodynamic conditions
representative of Northern Argentina during November, hundreds of
kilometers away form the CCN sources. The results suggest that
when the atmospheric conditions are very unstable (leading to very
deep convection, even in cases, to the occurrence of tornadoes),
the autoconversion and accretion processes are not significant in
changing the overall cloud dynamics, neither the total
precipitation at the surface. These results indicate that the
dynamics of the deep, mixed phase clouds simulated is not
sensitive to the input of large concentrations of CCN originated
during biomass burning. We are currently exploring the impact of
introducing large concentrations of ice nuclei (IN), introducing
changes in the parameterizations of the ice phase in ARPS.",
conference-location = "Foz do Igua{\c{c}}u",
conference-year = "24-28 Apr. 2006",
language = "en",
organisation = "American Meteorological Society (AMS)",
ibi = "cptec.inpe.br/adm_conf/2005/10.24.14.22",
url = "http://urlib.net/ibi/cptec.inpe.br/adm_conf/2005/10.24.14.22",
targetfile = "683-688.pdf",
type = "Human influences on climate",
urlaccessdate = "27 abr. 2024"
}