JP3.3 Study on characteristics of aerosol and CCN in North China based on ground measurement

Wednesday, 30 June 2010
Exhibit Hall (DoubleTree by Hilton Portland)
Jing Duan, Chinese Academy of Meteorological Sciences, Beijing, China; and J. T. Mao, Y. Duan, and Y. Chen

CCN play an important role in the process between aerosol and precipitation. The detail between aerosol and CCN is needed in order to improve the microphysical process in the model. The systematic observation can get this aim. The data of aircraft and ground equipment was used to analyzed in this paper.

Through the ground measurement, the diurnal variation in the concentrations of aerosols and CCN particles were analyzed. Mass and number concentration relationships between PM2.5 and PM10 were defined. In order to make good use of the PM10 measurement data, the mass concentration and number concentration relationships between PM10 and PM2.5 were built. These relationships provide a foundation for in-depth aerosol research based on PM10 data. The results of aerosol measurements show that the average mass density spectrum distribution of aerosols had a double peak. The average number density spectrum distribution of aerosols in the observational range is close to linear and belongs to the Junge distribution. The results of CCN measurements show that the daily variations in CCN number concentration in winter and summer show a double-peak distribution and a single-peak distribution, respectively. The average value in the winter is higher than that of the summer. The activation spectrums of CCN in the two seasons all follow the exponential law (NCCN(S) = CSk). The activation rate of aerosols (ratio of aerosol to CCN number concentration) was obtained for different supersaturation levels. The activation rate of different supersaturation levels follows the exponential law (y=axb).

Based on these results, the aerosol and CCN characteristics were determined in North China, and these provide important parameterized evidence for the improvement of the microphysical processes in the model.

This research was jointly funded by National Natural Science Foundation of China (Grant No. 40905058 and 40475003), the Key Project of Basic Scientific Research and Operation fund of Chinese Academy of Meteorological Sciences (2009Z003), National Basic Research Program of China (2006CB403706). Further we thank the staff of attending observation in Weather Modification Office of Hebei Province, China.

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