Articles | Volume 16, issue 3
https://doi.org/10.5194/acp-16-1353-2016
https://doi.org/10.5194/acp-16-1353-2016
Research article
 | 
08 Feb 2016
Research article |  | 08 Feb 2016

PLAM – a meteorological pollution index for air quality and its applications in fog-haze forecasts in North China

Y. Q. Yang, J. Z. Wang, S. L. Gong, X. Y. Zhang, H. Wang, Y. Q. Wang, J. Wang, D. Li, and J. P. Guo

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Cited articles

Gong, S. L., Barrie, A., Blanchet, J. P., Salzen, K. N., Lohmann, U., Lesins, G., Spacek, L., Zhang, L. M., Girard, E., Lin, H., Leaitch, R., Leighton, H., Chylek, P., and Huang, P.: Canadian aerosol module: a size-segregated simulation of atmospheric aerosol processes for climate and air quality models 1. Module development, J. Geophys. Res., 108, 4007–4015, 2003.
Honoré, C., Rouil, L., and Vautard, R.: Predictability of European air quality: Assessment of 3 years of operational forecasts and analyses by the PREV'AIR system, J. Geophys. Res., 113, 4302–4310, 2008.
Kassomenos, P., Papaloukas, C., Petrakis, M., and Karakitsios, S.: Assessment and prediction of short term hospital admissions: the case of Athens, Greece, Atmos. Environ., 42, 7078–7086, 2008.
Kuo, H. L.: Convective Weather in Conditionally Unstable Atmosphere, Tellus, 13, 441–459, 1961.
Kuo, H. L.: On Formation and Intensification of Tropical Cyclone through Latent Heat Release in Cumulus Convection, J. Atmos. Sci., 22, 40–23, 1965.
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Short summary
A new model, PLAM/h, has been developed and used in near-real-time air quality forecasts by considering both meteorology and pollutant emissions, based on the two-dimensional probability density function diagnosis model for emissions. The results show that combining the influence of regular meteorological conditions and emission factors together in the PLAM/h parameterization scheme is very effective in improving the forecasting ability for fog-haze weather in North China.
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