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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 15
Atmos. Chem. Phys., 11, 7715–7726, 2011
https://doi.org/10.5194/acp-11-7715-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 11, 7715–7726, 2011
https://doi.org/10.5194/acp-11-7715-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 03 Aug 2011

Research article | 03 Aug 2011

Spatial features of rain frequency change and pollution and associated aerosols

Y. Lin1,2, Q. Min2, G. Zhuang1, Z. Wang3, W. Gong3, and R. Li2 Y. Lin et al.
  • 1Department of Environmental Science and Engineering, Fudan University, China
  • 2Atmospheric Sciences Research Center, State University of New York, USA
  • 3Department of Environmental Science, Wuhan University, China

Abstract. A spatial-temporal analysis has been conducted using satellite observed distributions of rain frequency, NO2 concentration and aerosol, with focus on the spring season in East Asia. As NO2 is a key precursor of secondary aerosols, especially in urban areas, an increase of NO2 emission is generally accompanied by an increase of fine aerosol particles. Comparison between trends in rain frequency and in precipitation amount shows that the changes in precipitation are more due to changes in precipitation occurrence than in precipitation amount. The overall feature emerged from the region-by-region analyses is that there is an inverse relationship between the rain frequency and the pollution and associated aerosols at continental scale in spring. The change in rain frequency is associated with changes in pollution-produced aerosols and long-range transport mineral dust. The inverse relationship at large temporal and spatial scales illustrates potential climatological consequence of changed pollution and aerosols on precipitation. Due to relatively short duration of observation and the potential uncertainty and bias associated with satellite measurements, more robust longer-term statistical study at various temporal and spatial scales and detailed modeling investigation are warranted to understand the physical causality of observed relationship between the rain frequency and the pollution and associated aerosols.

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