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| Titel |
Inclusion of biomass burning in WRF-Chem: impact of wildfires on weather forecasts |
| VerfasserIn |
G. Grell, S. R. Freitas, M. Stuefer, J. Fast |
| 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 ; 11, no. 11 ; Nr. 11, no. 11 (2011-06-06), S.5289-5303 |
| Datensatznummer |
250009803
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| Publikation (Nr.) |
 copernicus.org/acp-11-5289-2011.pdf |
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| Zusammenfassung |
| A plume rise algorithm for wildfires was included in WRF-Chem, and applied
to look at the impact of intense wildfires during the 2004 Alaska wildfire
season on weather simulations using model resolutions of 10 km and 2 km.
Biomass burning emissions were estimated using a biomass burning emissions
model. In addition, a 1-D, time-dependent cloud model was used online in
WRF-Chem to estimate injection heights as well as the vertical distribution
of the emission rates. It was shown that with the inclusion of the intense
wildfires of the 2004 fire season in the model simulations, the interaction
of the aerosols with the atmospheric radiation led to significant
modifications of vertical profiles of temperature and moisture in cloud-free
areas. On the other hand, when clouds were present, the high concentrations
of fine aerosol (PM2.5) and the resulting large numbers of Cloud
Condensation Nuclei (CCN) had a strong impact on clouds and cloud
microphysics, with decreased precipitation coverage and precipitation
amounts during the first 12 h of the integration. During the afternoon,
storms were of convective nature and appeared significantly stronger,
probably as a result of both the interaction of aerosols with radiation
(through an increase in CAPE) as well as the interaction with cloud
microphysics. |
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