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| Titel |
Data assimilation of dust aerosol observations for the CUACE/dust forecasting system |
| VerfasserIn |
T. Niu, S. L. Gong, G. F. Zhu, H. L. Liu, X. Q. Hu, C. H. Zhou, Y. Q. Wang |
| 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 ; 8, no. 13 ; Nr. 8, no. 13 (2008-07-02), S.3473-3482 |
| Datensatznummer |
250006266
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| Publikation (Nr.) |
 copernicus.org/acp-8-3473-2008.pdf |
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| Zusammenfassung |
| A data assimilation system (DAS) was developed for the Chinese Unified
Atmospheric Chemistry Environment – Dust (CUACE/Dust) forecast system and
applied in the operational forecasts of sand and dust storm (SDS) in spring
2006. The system is based on a three dimensional variational method (3D-Var)
and uses extensively the measurements of surface visibility (phenomena) and dust loading
retrieval from the Chinese geostationary satellite FY-2C. By a number of
case studies, the DAS was found to provide corrections to both under- and
over-estimates of SDS, presenting a major improvement to the forecasting
capability of CUACE/Dust in the short-term variability in the spatial
distribution and intensity of dust concentrations in both source regions and
downwind areas. The seasonal mean Threat Score (TS) over the East Asia in
spring 2006 increased from 0.22 to 0.31 by using the data assimilation
system, a 41% enhancement. The forecast results with DAS usually agree
with the dust loading retrieved from FY-2C and visibility distribution from
surface meteorological stations, which indicates that the 3D-Var method is
very powerful by the unification of observation and numerical model to
improve the performance of forecast model. |
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