Articles | Volume 25, issue 15
https://doi.org/10.5194/acp-25-8769-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-8769-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Regional transport of aerosols from northern India and its impact on boundary layer height and air quality over Chennai, a coastal megacity in southern India
Saleem Ali
Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, 600036, India
Department of Mathematics and Physics, Amal College of Advanced Studies (Autonomous), Nilambur, Kerala, 679329, India
Chandan Sarangi
CORRESPONDING AUTHOR
Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, 600036, India
Sanjay Kumar Mehta
Atmospheric Observations and Modelling Laboratory (AOML), Department of Physics and Nanotechnology, SRM Institute of Science and Technology, Kattankulathur, 603203, India
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Cited articles
Ali, S., Mehta, S. K., Ananthavel, A., and Reddy, T. V. R.: Temporal and vertical distributions of the occurrence of cirrus clouds over a coastal station in the Indian monsoon region, Atmos. Chem. Phys., 22, 8321–8342, https://doi.org/10.5194/acp-22-8321-2022, 2022.
Ananthavel, A., Mehta, S. K., Ali, S., Reddy, T. V. R., Annamalai, V., and Rao, D. N.: Micro Pulse Lidar measurements in coincidence with CALIPSO overpasses: Comparison of tropospheric aerosols over Kattankulathur (12.82° N, 80.04° E), Atmos. Pollut. Res., 12, 101082, https://doi.org/10.1016/j.apr.2021.101082, 2021a.
Ananthavel, A., Mehta, S. K., Reddy, T. V. R., Ali, S., and Rao, D. N.: Vertical distributions and columnar properties of the aerosols during different seasons over Kattankulathur (12.82° N, 80.04° E): A semi-urban tropical coastal station, Atmos. Environ., 256, 118457, https://doi.org/10.1016/j.atmosenv.2021.118457, 2021b.
Aruna, K., Kumar, T. V. L., Rao, D. N., Murthy, B. V. K., Babu, S. S., and Moorthy, K. K.: Black carbon aerosols in a tropical semi-urban coastal environment: Effects of boundary layer dynamics and long range transport, J. Atmos. Sol.-Terr. Phy., 104, 116–125, https://doi.org/10.1016/j.jastp.2013.08.020, 2013.
Baars, H., Ansmann, A., Engelmann, R., and Althausen, D.: Continuous monitoring of the boundary-layer top with lidar, Atmos. Chem. Phys., 8, 7281–7296, https://doi.org/10.5194/acp-8-7281-2008, 2008.
Barbaro, E., de Arellano, J. V., Ouwersloot, H. G., Schröter, J. S., Donovan, D. P., and Krol, M. C.: Aerosols in the convective boundary layer: Shortwave radiation effects on the coupled land–atmosphere system, J. Geophys. Res.-Atmos., 119, 5845–5863, https://doi.org/10.1002/2013JD021237, 2014.
Chester, R., Berry, A. S., and Murphy, K. J. T.: The distributions of particulate atmospheric trace metals and mineral aerosols over the Indian Ocean, Mar. Chem., 34, 261–290, https://doi.org/10.1016/0304-4203(91)90007-J, 1991.
Comstock, J. M. and Sassen, K.: Retrieval of cirrus cloud radiative and backscattering properties using combined lidar and infrared radiometer (LIRAD) measurements, J. Atmos. Ocean. Tech., 18, 1658–1673, https://doi.org/10.1175/1520-0426(2001)018<1658:ROCCRA>2.0.CO;2, 2001.
Davis, K. J., Gamage, N., Hagelberg, C. R., Kiemle, C., Lenschow, D. H., and Sullivan, P. P.: An Objective Method for Deriving Atmospheric Structure from Airborne Lidar Observations, J. Atmos. Ocean. Tech., 17, 1455–1468, https://doi.org/10.1175/1520-0426(2000)017<1455:AOMFDA>2.0.CO;2, 2000.
Ding, A. J., Fu, C. B., Yang, X. Q., Sun, J. N., Petäjä, T., Kerminen, V.-M., Wang, T., Xie, Y., Herrmann, E., Zheng, L. F., Nie, W., Liu, Q., Wei, X. L., and Kulmala, M.: Intense atmospheric pollution modifies weather: a case of mixed biomass burning with fossil fuel combustion pollution in eastern China, Atmos. Chem. Phys., 13, 10545–10554, https://doi.org/10.5194/acp-13-10545-2013, 2013.
Ding, A. J., Huang, X., Nie, W., Sun, J. N., Kerminen, V.-M., Petäjä, T., Su, H., Cheng, Y. F., Yang, X.-Q., Wang, M. H., Chi, X. G., Wang, J. P., Virkkula, A., Guo, W. D., Yuan, J., Wang, S. Y., Zhang, R. J., Wu, Y. F., Song, Y., Zhu, T., Zilitinkevich, S., Kulmala, M., and Fu, C. B.: Enhanced haze pollution by black carbon in megacities in China, Geophys. Res. Lett., 43, 2873–2879, https://doi.org/10.1002/2016GL067745, 2016.
Dipu, S., Prabha, T. V., Pandithurai, G., Dudhia, J., Pfister, G., Rajesh, K., and Goswami, B. N.: Impact of elevated aerosol layer on the cloud macrophysical properties prior to monsoon onset, Atmos. Environ., 70, 454–467, https://doi.org/10.1016/j.atmosenv.2012.12.036, 2013.
Ganguly, D. and Jayaraman, A.: Physical and optical properties of aerosols over an urban location in western India: Implications for shortwave radiative forcing, J. Geophys. Res.-Atmos., 111, D24207, https://doi.org/10.1029/2006JD007393, 2006.
Garratt, J.: Review: the atmospheric boundary layer, Earth-Sci. Rev., 37, 89–134, https://doi.org/10.1016/0012-8252(94)90026-4, 1994.
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs, L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan, K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A., da Silva, A. M., Gu, W., Kim, G.-K., Koster, R., Lucchesi, R., Merkova, D., Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M., Schubert, S. D., Sienkiewicz, M., and Zhao, B.: The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2), J. Climate, 30, 5419–5454, https://doi.org/10.1175/JCLI-D-16-0758.1, 2017.
Guo, J., Xia, F., Zhang, Y., Liu, H., Li, J., Lou, M., He, J., Yan, Y., Wang, F., Min, M., and Zhai, P.: Impact of diurnal variability and meteorological factors on the PM2.5–AOD relationship: Implications for PM2.5 remote sensing, Environ. Pollut., 221, 94–104, https://doi.org/10.1016/j.envpol.2016.11.043, 2017.
Haywood, J. and Boucher, O.: Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: A review, Rev. Geophys., 38, 513–543, https://doi.org/10.1029/1999RG000078, 2000.
Huang, X., Wang, Z., and Ding, A.: Impact of Aerosol-PBL Interaction on Haze Pollution: Multiyear Observational Evidences in North China, Geophys. Res. Lett., 45, 8596–8603, https://doi.org/10.1029/2018GL079239, 2018.
Jiang, J., Zhou, W., Cheng, Z., Wang, S., He, K., and Hao, J.: Particulate Matter Distributions in China during a Winter Period with Frequent Pollution Episodes (January 2013), Aerosol Air Qual. Res., 15, 494–503, https://doi.org/10.4209/aaqr.2014.04.0070, 2015.
Kakkanattu, S. P., Mehta, S. K., Purushotham, P., Betsy, K. B., Seetha, C. J., and Musaid, P. P.: Continuous monitoring of the atmospheric boundary layer (ABL) height from micro pulse lidar over a tropical coastal station, Kattankulathur (12.82° N, 80.04° E), Meteorol. Atmos. Phys., 135, 2, https://doi.org/10.1007/s00703-022-00938-x, 2023.
Kant, S., Sarangi, C., and Wilcox, E. M.: Aerosol processes perturb cloud trends over Bay of Bengal: observational evidence, npj Clim. Atmos. Sci., 6, 132, https://doi.org/10.1038/s41612-023-00443-x, 2023.
Kaufman, Y. J., Wald, A. E., Remer, L. A., Bo-Cai Gao, Rong-Rong Li and Flynn, L.: The MODIS 2.1-µm channel-correlation with visible reflectance for use in remote sensing of aerosol, IEEE T. Geosci. Remote, 35, 1286–1298, https://doi.org/10.1109/36.628795, 1997.
Krishnamurti, T. N., Jha, B., Prospero, J., Jayaraman, A., and Ramanathan, V.: Aerosol and pollutant transport and their impact on radiative forcing over the tropical Indian Ocean during the January–February 1996 pre-INDOEX cruise, Tellus B, 50, 521, https://doi.org/10.3402/tellusb.v50i5.16235, 1998.
Kuttippurath, J., Maishal, S., Anjaneyan, P., Sunanda, N., and Chakraborty, K.: Recent changes in atmospheric input and primary productivity in the north Indian Ocean, Heliyon, 9, e17940, https://doi.org/10.1016/j.heliyon.2023.e17940, 2023.
Liu, G., Xin, J., Wang, X., Si, R., Ma, Y., Wen, T., Zhao, L., Zhao, D., Wang, Y., and Gao, W.: Impact of the coal banning zone on visibility in the Beijing-Tianjin-Hebei region, Sci. Total Environ., 692, 402–410, https://doi.org/10.1016/j.scitotenv.2019.07.006, 2019.
Lohmann, U. and Feichter, J.: Global indirect aerosol effects: a review, Atmos. Chem. Phys., 5, 715–737, https://doi.org/10.5194/acp-5-715-2005, 2005.
Lyapustin, A., Wang, Y., Laszlo, I., Kahn, R., Korkin, S., Remer, L., Levy, R., and Reid, J. S.: Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm, J. Geophys. Res., 116, D03211, https://doi.org/10.1029/2010JD014986, 2011a.
Lyapustin, A., Smirnov, A., Holben, B., Chin, M., Streets, D. G., Lu, Z., Kahn, R., Slutsker, I., Laszlo, I., Kondragunta, S., Tanré, D., Dubovik, O., Goloub, P., Chen, H.-B., Sinyuk, A., Wang, Y., and Korkin, S.: Reduction of aerosol absorption in Beijing since 2007 from MODIS and AERONET, Geophys. Res. Lett., 38, L10803, https://doi.org/10.1029/2011GL047306, 2011b.
Ma, Y., Ye, J., Xin, J., Zhang, W., Vilà-Guerau de Arellano, J., Wang, S., Zhao, D., Dai, L., Ma, Y., Wu, X., Xia, X., Tang, G., Wang, Y., Shen, P., Lei, Y., and Martin, S. T.: The Stove, Dome, and Umbrella Effects of Atmospheric Aerosol on the Development of the Planetary Boundary Layer in Hazy Regions, Geophys. Res. Lett., 47, e2020GL087373, https://doi.org/10.1029/2020GL087373, 2020.
Ma, Y., Xin, J., Wang, Z., Tian, Y., Wu, L., Tang, G., Zhang, W., de Arellano, J. V.-G., Zhao, D., Jia, D., Ren, Y., Gao, Z., Shen, P., Ye, J., and Martin, S. T.: How do aerosols above the residual layer affect the planetary boundary layer height?, Sci. Total Environ., 814, 151953, https://doi.org/10.1016/j.scitotenv.2021.151953, 2022.
Mehta, S. K., Ojha, D., Mehta, S., Anand, D., Rao, D. N., Annamalai, V., Ananthavel, A., and Ali, S.: Thermodynamic structure of the convective boundary layer (CBL) over the Indian monsoon region during CAIPEEX campaigns, Ann. Geophys., 35, 1361–1379, https://doi.org/10.5194/angeo-35-1361-2017, 2017.
Mehta, S. K., Ananthavel, A., Velu, V., Prabhakaran, T., Pandithurai, G., and Rao, D. N.: Characteristics of elevated aerosol layer over the Indian east coast, Kattankulathur (12.82° N, 80.04° E): A northeast monsoon region, Sci. Total Environ., 886, 163917, https://doi.org/10.1016/j.scitotenv.2023.163917, 2023.
Mhawish, A., Sarangi, C., Babu, P., Kumar, M., Bilal, M., and Qiu, Z.: Observational evidence of elevated smoke layers during crop residue burning season over Delhi: Potential implications on associated heterogeneous PM2.5 enhancements, Remote Sens. Environ., 280, 113167, https://doi.org/10.1016/j.rse.2022.113167, 2022.
Miao, Y. and Liu, S.: Linkages between aerosol pollution and planetary boundary layer structure in China, Sci. Total Environ., 650, 288–296, https://doi.org/10.1016/j.scitotenv.2018.09.032, 2019.
Mukherjee, A. and Toohey, D. W.: A study of aerosol properties based on observations of particulate matter from the U. S. Embassy in Beijing, China, Earth's Futur., 4, 381–395, https://doi.org/10.1002/2016EF000367, 2016.
NASA: Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations, NASA [data set], https://asdc.larc.nasa.gov/project/CALIPSO (last access: 11 August 2025), 2025.
Pal, S., Behrendt, A., and Wulfmeyer, V.: Elastic-backscatter-lidar-based characterization of the convective boundary layer and investigation of related statistics, Ann. Geophys., 28, 825–847, https://doi.org/10.5194/angeo-28-825-2010, 2010.
Petäjä, T., Järvi, L., Kerminen, V.-M., Ding, A. J., Sun, J. N., Nie, W., Kujansuu, J., Virkkula, A., Yang, X., Fu, C. B., Zilitinkevich, S., and Kulmala, M.: Enhanced air pollution via aerosol-boundary layer feedback in China, Sci. Rep., 6, 18998, https://doi.org/10.1038/srep18998, 2016.
Prasad, A. K., Singh, R. P., and Kafatos, M.: Influence of coal based thermal power plants on aerosol optical properties in the Indo-Gangetic basin, Geophys. Res. Lett., 33, L05805, https://doi.org/10.1029/2005GL023801, 2006.
Prijith, S. S., Rao, P. V. N., and Mohan, M.: Genesis of elevated aerosol loading over the Indian region, in: Proc. SPIE 9882, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions VI, New Delhi, India, 988208, https://doi.org/10.1117/12.2223480, 2016.
Prodi, F., Santachiara, G., and Oliosi, F.: Characterization of aerosols in marine environments (Mediterranean, Red Sea, and Indian Ocean), J. Geophys. Res.-Oceans, 88, 10957–10968, https://doi.org/10.1029/JC088iC15p10957, 1983.
Qin, K., Wu, L., Wong, M. S., Letu, H., Hu, M., Lang, H., Sheng, S., Teng, J., Xiao, X., and Yuan, L.: Trans-boundary aerosol transport during a winter haze episode in China revealed by ground-based Lidar and CALIPSO satellite, Atmos. Environ., 141, 20–29, https://doi.org/10.1016/j.atmosenv.2016.06.042, 2016.
Quan, J., Tie, X., Zhang, Q., Liu, Q., Li, X., Gao, Y., and Zhao, D.: Characteristics of heavy aerosol pollution during the 2012–2013 winter in Beijing, China, Atmos. Environ., 88, 83–89, https://doi.org/10.1016/j.atmosenv.2014.01.058, 2014.
Raatikainen, T., Hyvärinen, A.-P., Hatakka, J., Panwar, T. S., Hooda, R. K., Sharma, V. P., and Lihavainen, H.: The effect of boundary layer dynamics on aerosol properties at the Indo-Gangetic plains and at the foothills of the Himalayas, Atmos. Environ., 89, 548–555, https://doi.org/10.1016/j.atmosenv.2014.02.058, 2014.
Rajeev, K., Ramanathan, V., and Meywerk, J.: Regional aerosol distribution and its long-range transport over the Indian Ocean, J. Geophys. Res.-Atmos., 105, 2029–2043, https://doi.org/10.1029/1999JD900414, 2000.
Rajeevan, M. and Srinivasan, J.: Net Cloud Radiative Forcing at the Top of the Atmosphere in the Asian Monsoon Region, J. Climate, 13, 650–657, https://doi.org/10.1175/1520-0442(2000)013<0650:NCRFAT>2.0.CO;2, 2000.
Ramanathan, V., Crutzen, P. J., Lelieveld, J., Mitra, A. P., Althausen, D., Anderson, J., Andreae, M. O., Cantrell, W., Cass, G. R., Chung, C. E., Clarke, A. D., Coakley, J. A., Collins, W. D., Conant, W. C., Dulac, F., Heintzenberg, J., Heymsfield, A. J., Holben, B., Howell, S. J., and Valero, F. P.: Indian Ocean Experiment: An integrated analysis of the climate forcing and effects of the great Indo-Asian haze, J. Geophys. Res.-Atmos., 106, 28371–28398, https://doi.org/10.1029/2001JD900133, 2001.
Ramanathan, V. and Ramana, M. V.: Persistent, Widespread, and Strongly Absorbing Haze Over the Himalayan Foothills and the Indo-Gangetic Plains, Pure Appl. Geophys., 162, 1609–1626, https://doi.org/10.1007/s00024-005-2685-8, 2005.
Ramanathan, V., Crutzen, P. J., Kiehl, J. T., and Rosenfeld, D.: Aerosols, Climate, and the Hydrological Cycle, Science, 294, 2119–2124, https://doi.org/10.1126/science.1064034, 2001.
Randles, C. A., da Silva, A. M., Buchard, V., Colarco, P. R., Darmenov, A., Govindaraju, R., Smirnov, A., Holben, B., Ferrare, R., Hair, J., Shinozuka, Y., and Flynn, C. J.: The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part I: System Description and Data Assimilation Evaluation, J. Climate, 30, 6823–6850, https://doi.org/10.1175/JCLI-D-16-0609.1, 2017.
Ratnam, M. V., Prasad, P., Roja Raman, M., Ravikiran, V., Bhaskara Rao, S. V., Krishna Murthy, B. V., and Jayaraman, A.: Role of dynamics on the formation and maintenance of the elevated aerosol layer during monsoon season over south-east peninsular India, Atmos. Environ., 188, 43–49, https://doi.org/10.1016/j.atmosenv.2018.06.023, 2018.
Reddy, T. V. R., Mehta, S. K., Ananthavel, A., Ali, S., and Rao, D. N.: Evolution of the planetary boundary layer and its simulation over a tropical coastal station Kattankulathur (12.83° N, 80.04° E), Theor. Appl. Climatol., 146, 1043–1060, https://doi.org/10.1007/s00704-021-03770-2, 2021a.
Reddy, T. V. R., Mehta, S. K., Ananthavel, A., Ali, S., Annamalai, V., and Rao, D. N.: Seasonal characteristics of sea breeze and thermal internal boundary layer over Indian east coast region, Meteorol. Atmos. Phys., 133, 217–232, https://doi.org/10.1007/s00703-020-00746-1, 2021b.
Rolph, G., Stein, A., and Stunder, B.: Real-time Environmental Applications and Display sYstem: READY, Environ. Modell. Softw., 95, 210–228, https://doi.org/10.1016/j.envsoft.2017.06.025, 2017.
San Martini, F. M., Hasenkopf, C. A. and Roberts, D. C.: Statistical analysis of PM2.5 observations from diplomatic facilities in China, Atmos. Environ., 110, 174–185, https://doi.org/10.1016/j.atmosenv.2015.03.060, 2015.
Sarangi, C., Kanawade, V. P., Tripathi, S. N., Thomas, A., and Ganguly, D.: Aerosol-induced intensification of cooling effect of clouds during Indian summer monsoon, Nat. Commun., 9, 3754, https://doi.org/10.1038/s41467-018-06015-5, 2018.
Satheesh, S. and Krishnamoorthy, K.: Radiative effects of natural aerosols: A review, Atmos. Environ., 39, 2089–2110, https://doi.org/10.1016/j.atmosenv.2004.12.029, 2005.
Savoie, D. L., Prospero, J. M., and Saltzman, E. S.: Non-sea-salt sulfate and nitrate in trade wind aerosols at Barbados: Evidence for long-range transport, J. Geophys. Res.-Atmos., 94, 5069–5080, https://doi.org/10.1029/JD094iD04p05069, 1989.
Shi, Y., Liu, B., Chen, S., Gong, W., Ma, Y., Zhang, M., Jin, S., and Jin, Y.: Characteristics of aerosol within the nocturnal residual layer and its effects on surface PM2.5 over China, Atmos. Environ., 241, 117841, https://doi.org/10.1016/j.atmosenv.2020.117841, 2020.
Sinha, P. R., Dumka, U. C., Manchanda, R. K., Kaskaoutis, D. G., Sreenivasan, S., Krishna Moorthy, K., and Suresh Babu, S.: Contrasting aerosol characteristics and radiative forcing over Hyderabad, India due to seasonal mesoscale and synoptic-scale processes, Q. J. Roy. Meteor. Soc., 139, 434–450, https://doi.org/10.1002/qj.1963, 2013.
Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., Cohen, M. D., and Ngan, F.: NOAA's HYSPLIT Atmospheric Transport and Dispersion Modeling System, B. Am. Meteorol. Soc., 96, 2059–2077, https://doi.org/10.1175/BAMS-D-14-00110.1, 2015.
Stohl, A.: Characteristics of atmospheric transport into the Arctic troposphere, J. Geophys. Res.-Atmos., 111, D11306, https://doi.org/10.1029/2005JD006888, 2006.
Stull, R. B. (Ed.): An Introduction to Boundary Layer Meteorology, Springer Netherlands, Dordrecht, https://doi.org/10.1007/978-94-009-3027-8, 1988.
Su, T., Li, Z., Zheng, Y., Luan, Q., and Guo, J.: Abnormally Shallow Boundary Layer Associated With Severe Air Pollution During the COVID-19 Lockdown in China, Geophys. Res. Lett., 47, e2020GL090041, https://doi.org/10.1029/2020GL090041, 2020.
Thomas, A., Sarangi, C., and Kanawade, V. P.: Recent Increase in Winter Hazy Days over Central India and the Arabian Sea, Sci. Rep., 9, 17406, https://doi.org/10.1038/s41598-019-53630-3, 2019.
Thomas, A., Kanawade, V. P., Sarangi, C., and Srivastava, A. K.: Effect of COVID-19 shutdown on aerosol direct radiative forcing over the Indo-Gangetic Plain outflow region of the Bay of Bengal, Sci. Total Environ., 782, 146918, https://doi.org/10.1016/j.scitotenv.2021.146918, 2021.
Tripathi, S. N., Tare, V., Chinnam, N., Srivastava, A. K., Dey, S., Agarwal, A., Kishore, S., Lal, R. B., Manar, M., Kanawade, V. P., Chauhan, S. S. S., Sharma, M., Reddy, R. R., Gopal, K. R., Narasimhulu, K., Reddy, L. S. S., Gupta, S., and Lal, S.: Measurements of atmospheric parameters during Indian Space Research Organization Geosphere Biosphere Programme Land Campaign II at a typical location in the Ganga basin: 1. Physical and optical properties, J. Geophys. Res.-Atmos., 111, D23209, https://doi.org/10.1029/2006JD007278, 2006.
University of Wyoming: University of Wyoming Atmospheric Science Radiosonde Archive, University of Wyoming [data set], https://weather.uwyo.edu/upperair/sounding.shtml (last access: 3 August 2025), 2025.
Wang, H., Shi, G. Y., Zhang, X. Y., Gong, S. L., Tan, S. C., Chen, B., Che, H. Z., and Li, T.: Mesoscale modelling study of the interactions between aerosols and PBL meteorology during a haze episode in China Jing–Jin–Ji and its near surrounding region – Part 2: Aerosols' radiative feedback effects, Atmos. Chem. Phys., 15, 3277–3287, https://doi.org/10.5194/acp-15-3277-2015, 2015.
Wang, H., Li, Z., Lv, Y., Xu, H., Li, K., Li, D., Hou, W., Zheng, F., Wei, Y., and Ge, B.: Observational study of aerosol-induced impact on planetary boundary layer based on lidar and sunphotometer in Beijing, Environ. Pollut., 252, 897–906, https://doi.org/10.1016/j.envpol.2019.05.070, 2019a.
Wang, Y., Yao, L., Wang, L., Liu, Z., Ji, D., Tang, G., Zhang, J., Sun, Y., Hu, B., and Xin, J.: Mechanism for the formation of the January 2013 heavy haze pollution episode over central and eastern China, Sci. China Earth Sci., 57, 14–25, https://doi.org/10.1007/s11430-013-4773-4, 2014.
Wang, Y., Wang, Y., Wang, L., Petäjä, T., Zha, Q., Gong, C., Li, S., Pan, Y., Hu, B., Xin, J., and Kulmala, M.: Increased inorganic aerosol fraction contributes to air pollution and haze in China, Atmos. Chem. Phys., 19, 5881–5888, https://doi.org/10.5194/acp-19-5881-2019, 2019b.
Wang, Y., Yu, M., Wang, Y., Tang, G., Song, T., Zhou, P., Liu, Z., Hu, B., Ji, D., Wang, L., Zhu, X., Yan, C., Ehn, M., Gao, W., Pan, Y., Xin, J., Sun, Y., Kerminen, V.-M., Kulmala, M., and Petäjä, T.: Rapid formation of intense haze episodes via aerosol–boundary layer feedback in Beijing, Atmos. Chem. Phys., 20, 45–53, https://doi.org/10.5194/acp-20-45-2020, 2020.
Wang, Z., Huang, X., and Ding, A.: Dome effect of black carbon and its key influencing factors: a one-dimensional modelling study, Atmos. Chem. Phys., 18, 2821–2834, https://doi.org/10.5194/acp-18-2821-2018, 2018.
Wilcox, E. M., Thomas, R. M., Praveen, P. S., Pistone, K., Bender, F. A.-M., and Ramanathan, V.: Black carbon solar absorption suppresses turbulence in the atmospheric boundary layer, P. Natl. Acad. Sci. USA, 113, 11794–11799, https://doi.org/10.1073/pnas.1525746113, 2016.
Winker, D. M., Vaughan, M. A., Omar, A., Hu, Y., Powell, K. A., Liu, Z., Hunt, W. H., and Young, S. A.: Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms, J. Atmos. Ocean. Tech., 26, 2310–2323, https://doi.org/10.1175/2009JTECHA1281.1, 2009.
Xiang, Y., Zhang, T., Liu, J., Lv, L., Dong, Y., and Chen, Z.: Atmosphere boundary layer height and its effect on air pollutants in Beijing during winter heavy pollution, Atmos. Res., 215, 305–316, https://doi.org/10.1016/j.atmosres.2018.09.014, 2019.
Yang, Y., Zheng, Z., Yim, S. Y. L., Roth, M., Ren, G., Gao, Z., Wang, T., Li, Q., Shi, C., Ning, G., and Li, Y.: PM2.5 Pollution Modulates Wintertime Urban Heat Island Intensity in the Beijing–Tianjin–Hebei Megalopolis, China, Geophys. Res. Lett., 47, e2019GL084288, https://doi.org/10.1029/2019GL084288, 2020.
Ye, X., Song, Y., Cai, X., and Zhang, H.: Study on the synoptic flow patterns and boundary layer process of the severe haze events over the North China Plain in January 2013, Atmos. Environ., 124, 129–145, https://doi.org/10.1016/j.atmosenv.2015.06.011, 2016.
Young, S. A., Vaughan, M. A., Kuehn, R. E., and Winker, D. M.: The retrieval of profiles of particulate extinction from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) data: Uncertainty and error sensitivity analyses, J. Atmos. Ocean. Tech., 30, 395–428, https://doi.org/10.1175/JTECH-D-12-00046.1, 2013.
Yu, H., Kaufman, Y. J., Chin, M., Feingold, G., Remer, L. A., Anderson, T. L., Balkanski, Y., Bellouin, N., Boucher, O., Christopher, S., DeCola, P., Kahn, R., Koch, D., Loeb, N., Reddy, M. S., Schulz, M., Takemura, T., and Zhou, M.: A review of measurement-based assessments of the aerosol direct radiative effect and forcing, Atmos. Chem. Phys., 6, 613–666, https://doi.org/10.5194/acp-6-613-2006, 2006.
Yu, H., Remer, L. A., Chin, M., Bian, H., Tan, Q., Yuan, T., and Zhang, Y.: Aerosols from Overseas Rival Domestic Emissions over North America, Science, 337, 566–569, https://doi.org/10.1126/science.1217576, 2012.
Zhang, H., Wang, Y., Hu, J., Ying, Q., and Hu, X.-M.: Relationships between meteorological parameters and criteria air pollutants in three megacities in China, Environ. Res., 140, 242–254, https://doi.org/10.1016/j.envres.2015.04.004, 2015.
Zhang, M., Tian, P., Zeng, H., Wang, L., Liang, J., Cao, X., and Zhang, L.: A Comparison of Wintertime Atmospheric Boundary Layer Heights Determined by Tethered Balloon Soundings and Lidar at the Site of SACOL, Remote Sens., 13, 1781, https://doi.org/10.3390/rs13091781, 2021a.
Zhang, Y., Zhang, Y., Yu, C., and Yi, F.: Evolution of Aerosols in the Atmospheric Boundary Layer and Elevated Layers during a Severe, Persistent Haze Episode in a Central China Megacity, Atmosphere (Basel), 12, 152, https://doi.org/10.3390/atmos12020152, 2021b.
Zhao, D., Xin, J., Gong, C., Quan, J., Liu, G., Zhao, W., Wang, Y., Liu, Z., and Song, T.: The formation mechanism of air pollution episodes in Beijing city: Insights into the measured feedback between aerosol radiative forcing and the atmospheric boundary layer stability, Sci. Total Environ., 692, 371–381, https://doi.org/10.1016/j.scitotenv.2019.07.255, 2019.
Zou, J., Sun, J., Ding, A., Wang, M., Guo, W., and Fu, C.: Observation-based estimation of aerosol-induced reduction of planetary boundary layer height, Adv. Atmos. Sci., 34, 1057–1068, https://doi.org/10.1007/s00376-016-6259-8, 2017.
Short summary
The pollutants over northern India are transported towards southern India under the influence of the prevalent wind system, especially during the winter season. This long-range transport induces widespread haziness over southern India, lasting for days. We evaluated the occurrence of such transport episodes over southern India using observational methods and found that it suppresses the boundary layer height by approximately 40 % compared to clear days, while exacerbating the surface pollution by approximately 50 %–60 %.
The pollutants over northern India are transported towards southern India under the influence of...
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