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| Titel |
GEM-AQ/EC, an on-line global multi-scale chemical weather modelling system: model development and evaluation of global aerosol climatology |
| VerfasserIn |
S. L. Gong, D. Lavoué, T. L. Zhao, P. Huang, J. W. Kaminski |
| 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 ; 12, no. 17 ; Nr. 12, no. 17 (2012-09-13), S.8237-8256 |
| Datensatznummer |
250011444
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| Publikation (Nr.) |
 copernicus.org/acp-12-8237-2012.pdf |
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| Zusammenfassung |
| A global air quality modeling system GEM-AQ/EC was developed by implementing
tropospheric chemistry and aerosol processes on-line into the Global
Environmental Multiscale weather prediction model – GEM. Due to the
multi-scale features of the GEM, the integrated model, GEM-AQ/EC, is able to
investigate chemical weather at scales from global to urban domains. The
current chemical mechanism is comprised of 50 gas-phase species, 116
chemical and 19 photolysis reactions, and is complemented by a sectional
aerosol module CAM (The Canadian Aerosol Module) with 5 aerosols types:
sulphate, black carbon, organic carbon, sea-salt and soil dust. Monthly
emission inventories of black carbon and organic carbon from boreal and
temperate vegetation fires were assembled using the most reliable areas
burned datasets by countries, from statistical databases and derived from
remote sensing products of 1995–2004. The model was run for ten years from
from 1995–2004 with re-analyzed meteorology on a global uniform
1° × 1° horizontal resolution domain and 28 hybrid levels
extending up to 10 hPa. The simulating results were compared with various
observations including surface network around the globe and satellite data.
Regional features of global aerosols are reasonably captured including
emission, surface concentrations and aerosol optical depth. For various
types of aerosols, satisfactory correlations were achieved between modeled
and observed with some degree of systematic bias possibly due to large
uncertainties in the emissions used in this study. A global distribution of
natural aerosol contributions to the total aerosols is obtained and compared
with observations. |
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