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| Titel |
Automated tracking of shallow cumulus clouds in large domain, long duration large eddy simulations |
| VerfasserIn |
T. Heus, A. Seifert |
| 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 ; 6, no. 4 ; Nr. 6, no. 4 (2013-08-22), S.1261-1273 |
| Datensatznummer |
250084976
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| Publikation (Nr.) |
 copernicus.org/gmd-6-1261-2013.pdf |
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| Zusammenfassung |
| This paper presents a method for feature tracking of fields of shallow
cumulus convection in large eddy simulations (LES) by connecting the
projected cloud cover in space and time, and by accounting for splitting and
merging of cloud objects. Existing methods tend to be either imprecise or,
when using the full three-dimensional (3-D) spatial field,
prohibitively expensive for large data sets. Compared to those 3-D
methods, the current method reduces the memory footprint by up to a factor
100, while retaining most of the precision by correcting for splitting and
merging events between different clouds. The precision of the algorithm is
further enhanced by taking the vertical extent of the cloud into account.
Furthermore, rain and subcloud thermals are also tracked, and links between
clouds, their rain, and their subcloud thermals are made. The method compares
well with results from the literature. Resolution and domain dependencies are
also discussed. For the current simulations, the cloud size distribution
converges for clouds larger than an effective resolution of 6 times the
horizontal grid spacing, and smaller than about 20% of the horizontal
domain size. |
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