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| Titel |
Modelling ice nucleation due to dust |
| VerfasserIn |
Slobodan Nickovic, Slavko Petkovic, Goran Pejanovic, Fabio Madonna |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250101816
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| Publikation (Nr.) |
 EGU/EGU2015-1051.pdf |
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| Zusammenfassung |
| Formation of cold clouds is enhanced if ice nuclei (IN) are available. Cold clouds contribute at global scale with
60% in average in precipitation and their presence significantly affects the atmospheric radiation properties. It is
expected that better description of the IN process should substantially improve cloud parameterization in climate
and numerical weather prediction models. Observations show that mineral dust particles are the dominant residuals
found in cloud ice. In this study we employ the regional dust DREAM model based on high horizontal and vertical
grid resolution to parameterize IN caused by mineral dust. DREAM has been already deployed in a study related
to IN process (Klein et al, 2010), also in model experiments using several IN parameterization schemes in support
of the IN field experiment CALIMA over Canaries. The model has been also extended by adding the major dust
mineral fractions as tracers in order to facilitate staying a role of dust mineralogy in ice nucleation. This study will
present parameterization of IN using the simulated dust concentration, water moisture and temperature. Preliminary
results of simulated IN will be shown, as well as IN validation against lidar aerosol profiles and ice cloud water
profiles observed by cloud radar in the Potenza EARLINET site. This study is an initial step in improving a cloud
physics parameterization using IN as an input variable in an integrated dust-atmospheric modelling system. |
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