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| Titel |
An improved ice cloud formation parameterization in the EMAC model |
| VerfasserIn |
Sara Bacer, Andrea Pozzer, Vlassis Karydis, Alexandra Tsimpidi, Holger Tost, Sylvia Sullivan, Athanasios Nenes, Donifan Barahona, Jos Lelieveld  |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250144227
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| Publikation (Nr.) |
 EGU/EGU2017-8030.pdf |
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| Zusammenfassung |
| \begin{document}
Cirrus clouds cover about $30\%$ of the Earth's surface and are an important modulator of the radiative energy budget
of the atmosphere.
Despite their importance in the global
climate system, there are still large uncertainties in understanding the microphysical properties and interactions
with aerosols. Ice crystal formation is quite complex and a variety of mechanisms exists for ice nucleation,
depending on aerosol characteristics and environmental conditions. Ice crystals can be formed via homogeneous
nucleation or heterogeneous nucleation of ice-nucleating particles in different ways (contact, immersion, condensation, deposition).
\\
We have implemented the computationally efficient cirrus cloud formation parameterization by Barahona and Nenes
(2009) into the EMAC (ECHAM5/MESSy Atmospheric Chemistry) model in order to improve the representation of ice
clouds and aerosol-cloud interactions.
The parameterization computes the ice crystal number
concentration from precursor aerosols and ice-nucleating particles accounting for the competition between homogeneous and
heterogeneous nucleation and among different freezing modes.
\\
Our work shows the differences and
the improvements obtained after the implementation with respect to the previous version of EMAC.
\end{document} |
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