[1] DING A J, FU C B, YANG X Q, et al. Intense atmospheric pollution modifies weather: A case of mixed biomass burning with fossil fuel combustion pollution in eastern China[J]. Atmospheric Chemistry and Physics, 2013, 13(20): 10545 − 10554. doi: 10.5194/acp-13-10545-2013
[2] HUANG J, FU Q, SU J, et al. Taklimakan dust aerosol radiative heating derived from CALIPSO observations using the Fu-Liou radiation model with CERES constraints[J]. Atmospheric Chemistry and Physics, 2009, 9(12): 4011 − 4021. doi: 10.5194/acp-9-4011-2009
[3] LIU Y, JIA R, DAI T, et al. A review of aerosol optical properties and radiativeeffects[J]. Journal of Meteorological Research, 2014, 28(6): 1003 − 1028. doi: 10.1007/s13351-014-4045-z
[4] CHEN Q, YIN Y, JIN L, et al. The effect of aerosol layers on convective cloud microphysics and precipitation[J]. Atmospheric Research, 2011, 101(1-2): 327 − 340. doi: 10.1016/j.atmosres.2011.03.007
[5] HUANG J, MINNIS P, YAN H, et al. Dust aerosol effect on semi-arid climate over Northwest China detected from A-Train satellite measurements[J]. Atmospheric Chemistry and Physics, 2010, 10(14): 6863 − 6872. doi: 10.5194/acp-10-6863-2010
[6] HUANG J, WANG T, WANG W, et al. Climate effects of dust aerosols over East Asian arid and semiarid regions[J]. Journal of Geophysical Research Atmospheres, 2014, 119(19): 11398 − 11416.
[7] LI Z, NIU F, FAN J, et al. Long-term impacts of aerosols on the vertical development of clouds and precipitation[J]. Nature Geoscience, 2011, 4(12): 888 − 894. doi: 10.1038/ngeo1313
[8] CHOI I J, IGUCHI T, KIM S W, et al. The effect of aerosol representation on cloud microphysical properties in Northeast Asia[J]. Meteorology and Atmospheric Physics, 2014, 123(3-4): 181 − 194. doi: 10.1007/s00703-013-0288-y
[9] ROSENFELD D, SHERWOOD S, WOOD R, et al. Climate effects of aerosol-cloud interactions[J]. Science, 2014, 343(6169): 379 − 380. doi: 10.1126/science.1247490
[10] ZHAO C, HU Z, QIAN Y, et al. Simulating black carbon and dust and their radiative forcing in seasonal snow: A case study over North China with field campaign measurements[J]. Atmospheric Chemistry and Physics, 2014, 14(20): 11475 − 11491. doi: 10.5194/acp-14-11475-2014
[11] RAMANATHAN V, CARMICHAEL G R. Global and regional climate changes due to black carbon[J]. Nature Geoscience, 2008, 1(4): 221 − 227. doi: 10.1038/ngeo156
[12] HUANG K, ZHUANG G, LI J, et al. Mixing of Asian dust with pollution aerosol and the transformation of aerosol components during the dust storm over China in spring 2007[J]. Journal of Geophysical Research, 2010, 115: D00K13.
[13] DENG J, XU H. Nonlinear effect on the East Asian summer monsoon due to two coexisting anthropogenic forcing factors in eastern China: an AGCM study[J]. Climate Dynamics, 2015, 7(46): 3767 − 3784.
[14] LIU Y, HUANG J, SHI G, et al. Aerosol optical properties and radiative effect determined from sky-radiometer over Loess Plateau of Northwest China[J]. Atmospheric Chemistry and Physics, 2011, 11: 11455 − 11463. doi: 10.5194/acp-11-11455-2011
[15] DICKERSON R R, LI C, LI Z, et al. Aircraft observations of dust and pollutants over ne china: insight into the meteorological mechanisms of long-range transport[J]. Journal of Geophysical Research Atmospheres, 2007, 112(D24): 177 − 180.
[16] JIA R, LIU Y, CHEN B, et al. Source and transportation of summer dust over the Tibetan Plateau[J]. Atmospheric Environment, 2015, 123: 210 − 219. doi: 10.1016/j.atmosenv.2015.10.038
[17] JIA R, LIU Y Z, HUA S, et al. Estimation of the aerosol radiative effect over the Tibetan Plateau based on the latest CALIPSO product[J]. Journal of Meteorological Research, 2018, 32(5): 707 − 722. doi: 10.1007/s13351-018-8060-3
[18] ZHU Q, LIU Y, JIA R, et al. A numerical simulation study on the impact of smoke aerosols from Russian forest fires on the air pollution over Asia[J]. Atmospheric Environment, 2018, 182: 263 − 274. doi: 10.1016/j.atmosenv.2018.03.052
[19] SCHULZ M, TEXTOR C, KINNE S, et al. Radiative forcing by aerosols as derived from the AeroCom present-day and pre-industrial simulations[J]. Atmospheric Chemistry and Physics, 2006, 6(12): 5225 − 5246. doi: 10.5194/acp-6-5225-2006
[20] LEE S S, TAO W K, JUNG C H. Aerosol effects on instability, circulations, clouds, and precipitation[J]. Advances in Meteorology, 2015, 2014(7): 1 − 8.
[21] ZARZYCKI C M, BOND T C. How much can the vertical distribution of black carbon affect its global direct radiativeforcing[J]. Geophysical Research Letters, 2010, 37(20): 114 − 122.
[22] SAMSET B H, MYHRE G, SCHULZ M, et al. Black carbon vertical profiles strongly affect its radiative forcing uncertainty[J]. Atmospheric Chemistry and Physics, 2013, 13(5): 2423 − 2434. doi: 10.5194/acp-13-2423-2013
[23] ADAMS A M, PROSPERO J M, ZHANG C. CALIPSO-derived three-dimensional structure of aerosol over the Atlantic Basin and adjacent continents[J]. Journal of Climate, 2012, 25(19): 6862 − 6879. doi: 10.1175/JCLI-D-11-00672.1
[24] SAMSET B H, MYHRE G. Vertical dependence of black carbon, sulphate and biomass burning aerosol radiativeforcing[J]. Geophysical Research Letters, 2011, 38(24): L24802.
[25] COSTANTINO L, BREON F M. Analysis of aerosol-cloud interaction from multi-sensor satellite observations[J]. Geophysical Research Letters, 2010, 37(11): L11801.
[26] 刘海知, 郭海燕, 马振峰, 等. 2001—2017 年全国气溶胶光学厚度时空分布及变化趋势[J]. 环境科学, 2019, 40(9): 38 − 52.
[27] 刘状, 孙曦亮, 刘丹, 等. 2001—2017年中国北方省份气溶胶光学厚度的时空特征[J]. 环境科学学报, 2018, 38(8): 225 − 232.
[28] CHE H, XIA X, ZHU J, et al. Aerosol optical properties under the condition of heavy haze over an urban site of Beijing, China[J]. Environmental Science and Pollution Research, 2015, 22(2): 1043 − 1053. doi: 10.1007/s11356-014-3415-5
[29] JING J, WU Y, TAO J, et al. Observation and analysis of near-surface atmospheric aerosol optical properties in urban Beijing[J]. Particuology, 2015, 18: 144 − 154. doi: 10.1016/j.partic.2014.03.013
[30] TAO J, GAO J, ZHANG L, et al. Chemical and optical characteristics of atmospheric aerosols in Beijing during the Asia-Pacific Economic Cooperation China 2014[J]. Atmospheric Environment, 2016, 144: 8 − 16. doi: 10.1016/j.atmosenv.2016.08.067
[31] CHEN J, XIN J, AN J, et al. Observation of aerosol optical properties and particulate pollution at background station in the Pearl River Delta region[J]. Atmospheric Research, 2014, 143: 216 − 227. doi: 10.1016/j.atmosres.2014.02.011
[32] 范辰乾. 基于MODIS数据的气溶胶光学厚度与PM2.5浓度关系研究——以济南市为例[D]. 济南: 山东师范大学, 2014.
[33] 张静珠. 济南市冬季水相二次有机气溶胶的初步研究[D]. 济南: 山东大学, 2018.
[34] 陆天蔚, 张晶, 乔岩, 等. 长三角地区气溶胶对辐射和降水影响[J]. 北京师范大学学报(自然科学版), 2019, 55(1): 135 − 144.
[35] KAWECKI S, HENEBRY G M, STEINER A L. Effects of urban plume aerosols on a mesoscale convective system[J]. Journal of the Atmospheric Sciences, 2016, 73(12): 4641 − 4660. doi: 10.1175/JAS-D-16-0084.1
[36] LEE S S, GUO J, LI Z. Delaying precipitation by air pollution over the Pearl River Delta. Part II: Model simulations[J]. Journal of Geophysical Research, 2016, 121(19): 11739 − 11760.
[37] ZHANG B, WANG Y, HAO J. Simulating aerosol-radiation-cloud feedbacks on meteorology and air quality over eastern China under severe haze conditions in winter[J]. Atmospheric Chemistry and Physics, 2015, 15(5): 2387 − 2404. doi: 10.5194/acp-15-2387-2015
[38] MA J, GUO X, ZHAO C, et al. Recent progress in cloud physics research in China[J]. Advances in Atmospheric Sciences, 2007, 24(6): 1121 − 1137. doi: 10.1007/s00376-007-1121-7
[39] GELARO R, MCCARTY W, MAX J S, et al. The modern-era retrospective analysis for research and applications, Version 2 (MERRA-2)[J]. Journal of Climate, 2017, 30(14): 5419 − 5454. doi: 10.1175/JCLI-D-16-0758.1
[40] HENDERSON D S, L'ECUYER T, STEPHENS G L, et al. A multisensor perspective on the radiative impacts of clouds and aerosols[J]. Journal of Applied Meteorology and Climatology, 2013, 52(4): 853 − 871. doi: 10.1175/JAMC-D-12-025.1
[41] WANG W, HUANG J, MINNIS P, et al. Dusty cloud properties and radiative forcing over dust source and downwind regions derived from A-Train data during the Pacific Dust Experiment[J]. Journal of Geophysical Research Atmospheres, 2010, 115(D4): D00H35.
[42] 贾瑞, 刘玉芝, 吴楚樵, 等. 2007—2017年中国沙尘气溶胶的三维分布特征及输送过程[J]. 中国沙漠, 2019, 39(6): 108 − 117.
[43] 方乐锌, 李昀英, 孙国荣, 等. 基于CloudSat–CALIPSO资料的全球不同类型云的水平和垂直分布特征[J]. 气候与环境研究, 2016(5): 547 − 556.