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| Titel |
A statistical–numerical aerosol parameterization scheme |
| VerfasserIn |
J.-P. Chen, I.-C. Tsai, Y.-C. Lin |
| 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 ; 13, no. 20 ; Nr. 13, no. 20 (2013-10-30), S.10483-10504 |
| Datensatznummer |
250085774
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| Publikation (Nr.) |
 copernicus.org/acp-13-10483-2013.pdf |
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| Zusammenfassung |
| A new modal aerosol parameterization scheme, the statistical–numerical aerosol
parameterization (SNAP), was developed for studying aerosol processes and
aerosol–cloud interactions in regional or global models. SNAP applies
statistical fitting on numerical results to generate accurate
parameterization formulas without sacrificing details of the growth kernel.
Processes considered in SNAP include fundamental aerosol processes as well
as processes related to aerosol–cloud interactions. Comparison of SNAP with
numerical solutions, analytical solutions, and binned aerosol model
simulations showed that the new method performs well, with accuracy higher
than that of the high-order numerical quadrature technique, and with much less
computation time. The SNAP scheme has been implemented in regional air
quality models, producing results very close to those using binned-size
schemes or numerical quadrature schemes. |
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