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Titel |
Uncertainties in SOA simulations due to meteorological uncertainties in Mexico City during MILAGRO-2006 field campaign |
VerfasserIn |
N. Bei, G. Li, L. T. Molina |
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. 23 ; Nr. 12, no. 23 (2012-12-03), S.11295-11308 |
Datensatznummer |
250011630
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Publikation (Nr.) |
copernicus.org/acp-12-11295-2012.pdf |
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Zusammenfassung |
The purpose of the present study is to investigate the
uncertainties in simulating secondary organic aerosol (SOA) in Mexico City
metropolitan area (MCMA) due to meteorological initial uncertainties using
the WRF-CHEM model through ensemble simulations. The simulated periods
(24 and 29 March 2006) represent two typical meteorological episodes
("Convection-South" and "Convection-North", respectively) in the Mexico
City basin during the MILAGRO-2006 field campaign. The organic aerosols are
simulated using a non-traditional SOA model including the volatility
basis-set modeling method and the contributions from glyoxal and
methylglyoxal. Model results demonstrate that uncertainties in
meteorological initial conditions have significant impacts on SOA
simulations, including the peak time concentrations, the horizontal
distributions, and the temporal variations. The ensemble spread of the
simulated peak SOA at T0 can reach up to 4.0 μg m−3 during the
daytime, which is around 35% of the ensemble mean. Both the basin wide
wind speed and the convergence area affect the magnitude and the location of
the simulated SOA concentrations inside the Mexico City basin. The wind
speed, especially during the previous midnight and the following early
morning, influences the magnitude of the peak SOA concentration through
ventilation. The surface horizontal convergence zone generally determines
the area with high SOA concentrations. The magnitude of the ensemble spreads
may vary with different meteorological episodes but the ratio of the
ensemble spread to mean does not change significantly. |
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