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| Titel |
A scale and aerosol aware stochastic convective parameterization for weather and air quality modeling |
| VerfasserIn |
G. A. Grell, S. R. Freitas |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 14, no. 10 ; Nr. 14, no. 10 (2014-05-27), S.5233-5250 |
| Datensatznummer |
250118740
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| Publikation (Nr.) |
 copernicus.org/acp-14-5233-2014.pdf |
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| Zusammenfassung |
| A convective parameterization is described and evaluated that may be used in
high resolution non-hydrostatic mesoscale models as well as in modeling
system with unstructured varying grid resolutions and for convection aware
simulations. This scheme is based on a stochastic approach originally
implemented by Grell and Devenyi (2002). Two approaches are tested on
resolutions ranging from 20 km to 5 km. One approach is based on spreading
subsidence to neighboring grid points, the other one on a recently
introduced method by Arakawa et al. (2011). Results from model
intercomparisons, as well as verification with observations indicate that
both the spreading of the subsidence and Arakawa's approach work well for
the highest resolution runs. Because of its simplicity and its capability
for an automatic smooth transition as the resolution is increased, Arakawa's
approach may be preferred. Additionally, interactions with aerosols have
been implemented through a cloud condensation nuclei (CCN) dependent autoconversion of cloud water to
rain as well as an aerosol dependent evaporation of cloud drops. Initial
tests with this newly implemented aerosol approach show plausible results
with a decrease in predicted precipitation in some areas, caused by the
changed autoconversion mechanism. This change also causes a significant
increase of cloud water and ice detrainment near the cloud tops. Some areas
also experience an increase of precipitation, most likely caused by
strengthened downdrafts. |
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