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| Titel |
Simulating aerosol–radiation–cloud feedbacks on meteorology and air quality over eastern China under severe haze conditionsin winter |
| VerfasserIn |
B. Zhang, Y. Wang, J. Hao |
| 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. 5 ; Nr. 15, no. 5 (2015-03-04), S.2387-2404 |
| Datensatznummer |
250119489
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| Publikation (Nr.) |
 copernicus.org/acp-15-2387-2015.pdf |
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| Zusammenfassung |
| The aerosol-radiation-cloud feedbacks on meteorology and air quality over
eastern China under severe winter haze conditions in January 2013 are
simulated using the fully coupled online Weather Research and
Forecasting/Chemistry (WRF-Chem) model. Three simulation scenarios including
different aerosol configurations are undertaken to distinguish the aerosol's
radiative (direct and semi-direct) and indirect effects. Simulated spatial
and temporal variations of PM2.5 are generally consistent with surface
observations, with a mean bias of −18.9 μg m−3 (−15.0%)
averaged over 71 big cities in China. Comparisons between different
scenarios reveal that aerosol radiative effects (direct effect and
semi-direct effects) result in reductions of downward shortwave flux at the
surface, 2 m temperature, 10 m wind speed and planetary boundary layer (PBL)
height by up to 84.0 W m−2, 3.2°C, 0.8 m s−1, and 268 m,
respectively. The simulated impact of the aerosol indirect effects is
comparatively smaller. Through reducing the PBL height and stabilizing lower
atmosphere, the aerosol effects lead to increases in surface concentrations
of primary pollutants (CO and SO2). Surface O3 mixing ratio is
reduced by up to 6.9 ppb (parts per billion) due to reduced incoming solar radiation and lower
temperature, while the aerosol feedbacks on PM2.5 mass concentrations
show some spatial variations. Comparisons of model results with observations
show that inclusion of aerosol feedbacks in the model significantly improves
model performance in simulating meteorological variables and improves
simulations of PM2.5 temporal distributions over the North China Plain,
the Yangtze River delta, the Pearl River delta, and central China. Although
the aerosol–radiation–cloud feedbacks on aerosol mass concentrations are
subject to uncertainties, this work demonstrates the significance of
aerosol–radiation–cloud feedbacks for real-time air quality forecasting
under haze conditions. |
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