[1] Hansen J E, Lacis A A. Sun and dust versus greenhouse gases-an assessment of their relative roles in global climate change [J]. Nature, 1990, 346(6286): 713-719.

[2] Ramanathan V, Crutzen P J, Kiehl J T, et al. Aerosols, climate, and the hydrological cycle [J]. Science, 2001, 294(5549): 2119-2124.

[3] Shi Guangyu, Wang Biao, Zhang Hua, et al. The radiative and climatic effects of atmospheric aerosols [J]. Chinese Journal of Atmospheric Sciences, 2008, 32(4): 826-840.

[4] Menon S, Hansen J, Nazarenko L, et al. Climate effects of black carbon aerosols in China and India [J]. Science, 2002, 297(5590): 2250-2253.

[5] Remer L A, Kleidman R G, Levy R C, et al. Global aerosol climatology from the MODIS satellite sensors [J]. Journal of Geophysical Research-Atmospheres, 2008, 113: D14S07.

[6] Sun Xia, Yin Yan, Sun Yuwen, et al. An observational study of aerosol particles using aircraft over Shijiazhuang Area in clean and hazy days during spring [J]. China Environmental Science, 2011, 31(5): 705-713.

[7] Wang Dongfang. Characteristics of non-volatile and semi-volatile particulate matters in PM2.5 in Shanghai during winter and spring [J]. China Environmental Science, 2013, 33(3): 385-391.

[8] Ren Lixin, You Ronggao, Lu Weixiu, et al. The physical and chemical characteristics of aerosols in the urban region and their influence on human health [J]. Climatic and Environmental Research, 1999, 4(1): 67-73.

[9] Chan C K, Yao X. Air pollution in mega cities in China [J]. Atmospheric Environment, 2008, 42(1): 1-42.

[10] Holben B N, Eck T F, Slutsker I, et al. AERONET-A federated instrument network and data archive for aerosol characterization [J]. Remote Sensing of Environment, 1998, 66(1): 1-16.

[11] Lee J, Kim J, Song C H, et al. Characteristics of aerosol types from AERONET sunphotometer measurements [J]. Atmospheric Environment, 2010, 44(26): 3110-3117.

[12] Li Z, Gu X, Wang L, et al. Aerosol physical and chemical properties retrieved from ground-based remote sensing measurements during heavy haze days in Beijing winter [J]. Atmospheric Chemistry and Physics, 2013, 13(2): 10171-10183.

[13] Lu Rui, Yu Xingna, Shen Li, et al. Aerosol optical properties in spring over urban Beijing [J]. China Environmental Science, 2016, 36(6): 1660-1668.

[14] Ren Tuanwei, Guo Zhaobing, Liu Weijia. Seasonal variation of atmospheric aerosol optical properties in Beijing during 2009-2011 [J]. Environmental Chemistry, 2015, 34(12): 2239-2247.

[15] Ye Duzheng, Chou Jifan, Liu Jiyuan, et al. Causes of sand-stormy weather in northern China and contral measures [J]. Acta Geographica Sinica, 2000, 55(5): 513-521.

[16] Quan Linsheng, Shi Shaoying, Zhu Yafen, et al. Temporal-spatial distribution characteristics and causes of dust-day in China [J]. Acta Geographica Sinica, 2001, 56(4): 477-485.

[17] Mielonen T, Arola A, Komppula M, et al. Comparison of CALIOP level 2 aerosol subtypes to aerosol types derived from AERONET inversion data [J]. Geophysical Research Letters, 2009, 36: L18804.

[18] Kalapureddy M C R, Kaskaoutis D G, Raj P E, et al. Identification of aerosol type over the Arabian Sea in the premonsoon season during the Integrated Campaign for Aerosols, Gases and Radiation Budget (ICARB) [J]. Journal of Geophysical Research-Atmospheres, 2009, 114: D17203.

[19] Sun Y L, Zhuang G S, Ying W, et al. The air-borne particulate pollution in Beijing-concentration, composition, distribution and sources [J]. Atmospheric Environment, 2004, 38(35): 5991-6004.

[20] Hu Min, Liu Shang, Wu Zhijun, et al. Effects of high temperature, high relative humidity and rain process on particle size distributions in the summer of Beijing [J]. Environmental Science, 2006, 27(11): 2293-2298.

[21] Li Xue, Liu Zirui, Ren Xiyan, et al. Characteristics of PM10 and PM2.5 during summer time of 2007 and 2008 at Beijing National Stadium [J]. Transactions of Atmospheric Sciences, 2012, 35(2): 197-204.

[22] Zhao Xiujuan, Pu Weiwei, Meng Wei, et al. PM2.5 pollution and aerosol optical properties in fog and haze days during autumn and winter in Beijing area [J]. Environmental Science, 2013, 34(2): 416-423.

[23] Zhang Xin, Cai Xuhui, Chai Fahe. Structures and characteristics of the atmospheric boundary layer over Beijing area in autumn [J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2006, 42(2): 220-225.

[24] Omar A H, Won J G, Winker D M, et al. Development of global aerosol models using cluster analysis of Aerosol Robotic Network (AERONET) measurements [J]. Journal of Geophysical Research-Atmospheres, 2005, 110: D10S14.

[25] Toledano C, Cachorro V E, Berjon A, et al. Aerosol optical depth and ngstrm exponent climatology at El Arenosillo AERONET site (Huelva, Spain) [J]. Quarterly Journal of the Royal Meteorological Society, 2007, 133(624): 795-807.

[26] Wang Xiangchuan, Rao Ruizhong. Lidar ratios for atmospheric aerosol and cloud particles [J]. Chinese Journal of Lasers, 2005, 32(10): 19-22.

[27] Omar A H, Winker D M, Kittaka C, et al. The CALIPSO automated aerosol classification and lidar ratio selection algorithm [J]. Journal of Atmospheric and Oceanic Technology, 2009, 26(10): 1994-2014.

[28] Xiang Yan, Liu Jianguo, Zhang Tianshu, et al. Uncertainty factors of aerosol optical properties inversion by lidar [J]. Laser & Optoelectronics Progress, 2018, 55(9): 408-417.

[29] Kim M H, Omar A H, Tackett J L, et al. The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm [J]. Atmospheric Measurement Techniques, 2018, 11(11): 6107-6135.