Jianjun LIU, Zhanqing LI. 2018: First Surface-based Estimation of the Aerosol Indirect Effect over a Site in Southeastern China. Adv. Atmos. Sci, 35(2): 169-181., https://doi.org/10.1007/s00376-017-7106-2
Citation: Jianjun LIU, Zhanqing LI. 2018: First Surface-based Estimation of the Aerosol Indirect Effect over a Site in Southeastern China. Adv. Atmos. Sci, 35(2): 169-181., https://doi.org/10.1007/s00376-017-7106-2

First Surface-based Estimation of the Aerosol Indirect Effect over a Site in Southeastern China

  • The deployment of the U.S. Atmospheric Radiation Measurement mobile facility in Shouxian from May to December 2008 amassed the most comprehensive set of measurements of atmospheric, surface, aerosol, and cloud variables in China. This deployment provided a unique opportunity to investigate the aerosol-cloud interactions, which are most challenging and, to date, have not been examined to any great degree in China. The relationship between cloud droplet effective radius (CER) and aerosol index (AI) is very weak in summer because the cloud droplet growth is least affected by the competition for water vapor. Mean cloud liquid water path (LWP) and cloud optical depth (COD) significantly increase with increasing AI in fall. The sensitivities of CER and LWP to aerosol loading increases are not significantly different under different air mass conditions. There is a significant correlation between the changes in hourly mean AI and the changes in hourly mean CER, LWP, and COD. The aerosol first indirect effect (FIE) is estimated in terms of relative changes in both CER (FIE CER) and COD (FIE COD) with changes in AI for different seasons and air masses. FIE COD and FIE CER are similar in magnitude and close to the typical FIE value of ∼0.23, and do not change much between summer and fall or between the two different air mass conditions. Similar analyses were done using spaceborne Moderate Resolution Imaging Spectroradiometer data. The satellite-derived FIE is contrary to the FIE estimated from surface retrievals and may have large uncertainties due to some inherent limitations.
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