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| Titel |
A flexible three-dimensional stratocumulus, cumulus and cirrus cloud generator (3DCLOUD) based on drastically simplified atmospheric equations and the Fourier transform framework |
| VerfasserIn |
F. Szczap, Y. Gour, T. Fauchez, C. Cornet, T. Faure, O. Jourdan, G. Penide, P. Dubuisson |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 7, no. 4 ; Nr. 7, no. 4 (2014-08-25), S.1779-1801 |
| Datensatznummer |
250115683
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| Publikation (Nr.) |
 copernicus.org/gmd-7-1779-2014.pdf |
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| Zusammenfassung |
| The 3DCLOUD algorithm for generating stochastic three-dimensional (3-D) cloud
fields is described in this paper. The generated outputs are 3-D optical
depth (τ) for stratocumulus and cumulus fields and 3-D ice water
content (IWC) for cirrus clouds. This model is designed to generate cloud
fields that share some statistical properties observed in real clouds such
as the inhomogeneity parameter ρ (standard deviation normalized by the
mean of the studied quantity), the Fourier spectral slope β close to
−5/3 between the smallest scale of the simulation to the outer Lout
(where the spectrum becomes flat). Firstly, 3DCLOUD assimilates
meteorological profiles (humidity, pressure, temperature and wind velocity).
The cloud coverage C, defined by the user, can also be assimilated, but
only for stratocumulus and cumulus regime. 3DCLOUD solves drastically
simplified basic atmospheric equations, in order to simulate 3-D cloud
structures of liquid or ice water content. Secondly, the Fourier filtering
method is used to constrain the intensity of ρ, β, Lout
and the mean of τ or IWC of these 3-D cloud structures. The 3DCLOUD model
was developed to run on a personal computer under Matlab environment with
the Matlab statistics toolbox. It is used to study 3-D interactions between
cloudy atmosphere and radiation. |
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