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| Titel |
The impact of aerosol optical depth assimilation on aerosol forecasts and radiative effects during a wild fire event over the United States |
| VerfasserIn |
D. Chen, Z. Liu, C. S. Schwartz, H.-C. Lin, J. D. Cetola, Y. Gu, L. Xue |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 7, no. 6 ; Nr. 7, no. 6 (2014-11-19), S.2709-2715 |
| Datensatznummer |
250115780
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| Publikation (Nr.) |
 copernicus.org/gmd-7-2709-2014.pdf |
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| Zusammenfassung |
| The Gridpoint Statistical Interpolation three-dimensional variational data
assimilation (DA) system coupled with the Weather Research and
Forecasting/Chemistry (WRF/Chem) model was utilized to improve aerosol
forecasts and study aerosol direct and semi-direct radiative feedbacks during
a US wild fire event. Assimilation of MODIS total 550 nm aerosol optical
depth (AOD) retrievals clearly improved WRF/Chem forecasts of surface
PM2.5 and organic carbon (OC) compared to the corresponding forecasts
without aerosol data assimilation. The scattering aerosols in the fire
downwind region typically cooled layers both above and below the aerosol
layer and suppressed convection and clouds, which led to an average of 2%
precipitation decrease during the fire week. This study demonstrated that, even
with no input of fire emissions, AOD DA improved the aerosol forecasts and
allowed a more realistic model simulation of aerosol radiative effects. |
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