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| Titel |
Modeling dust as component minerals in the Community Atmosphere Model: development of framework and impact on radiative forcing |
| VerfasserIn |
R. A. Scanza, N. Mahowald, S. Ghan, C. S. Zender, J. F. Kok, X. Liu, Y. Zhang, S. Albani |
| 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 ; 15, no. 1 ; Nr. 15, no. 1 (2015-01-15), S.537-561 |
| Datensatznummer |
250119311
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| Publikation (Nr.) |
 copernicus.org/acp-15-537-2015.pdf |
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| Zusammenfassung |
| The mineralogy of desert dust is important due to its effect on radiation,
clouds and biogeochemical cycling of trace nutrients. This study presents
the simulation of dust radiative forcing as a function of both mineral
composition and size at the global scale, using mineral soil maps for
estimating emissions. Externally mixed mineral aerosols in the bulk aerosol
module in the Community Atmosphere Model version 4 (CAM4) and internally
mixed mineral aerosols in the modal aerosol module in the Community
Atmosphere Model version 5.1 (CAM5) embedded in the Community Earth System
Model version 1.0.5 (CESM) are speciated into common mineral components in
place of total dust. The simulations with mineralogy are compared to
available observations of mineral atmospheric distribution and deposition
along with observations of clear-sky radiative forcing efficiency. Based on
these simulations, we estimate the all-sky direct radiative forcing at the
top of the atmosphere as + 0.05 Wm−2 for both CAM4 and CAM5
simulations with mineralogy. We compare this to the radiative forcing from
simulations of dust in release versions of CAM4 and CAM5 (+0.08 and
+0.17 Wm−2) and of dust with optimized optical properties, wet
scavenging and particle size distribution in CAM4 and CAM5, −0.05
and −0.17 Wm−2, respectively. The ability to correctly include the mineralogy of
dust in climate models is hindered by its spatial and temporal variability
as well as insufficient global in situ observations, incomplete and
uncertain source mineralogies and the uncertainties associated with data
retrieved from remote sensing methods. |
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