Articles | Volume 26, issue 16
https://doi.org/10.5194/acp-26-11923-2026
© Author(s) 2026. 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-26-11923-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Aug 2026
Research article |
| 21 Aug 2026
| 21 Aug 2026
Impacts of anthropogenic aerosols on a snowfall event – a case study in the Guanzhong Basin and its surrounding areas, China
Yuning Yang
School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
Naifang Bei
CORRESPONDING AUTHOR
School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
Ruonan Wang
State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
Qing Ji
School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
Shaanxi Meteorological Observatory, Xi'an, 710014, China
Haiyue Hong
School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
Zhe Li
School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
Xuexi Tie
State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
Guohui Li
CORRESPONDING AUTHOR
State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
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Cited articles
Ackerman, A. S., Toon, O. B., Stevens, D. E., Heymsfield, A. J., Ramanathan, V., and Welton, E. J.: Reduction of tropical cloudiness by soot, Science, 288, 1042–1047, https://doi.org/10.1126/science.288.5468.1042, 2000.
Albrecht, B. A.: Aerosols, cloud microphysics, and fractional cloudiness, Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989.
Bai, Y., Li, J., Guo, J., Xu, H., and Wang, Y.: Simulation of the responses of rainstorm in the Yangtze River Middle Reaches to changes in anthropogenic aerosol emissions, Atmos. Environ., 220, 117081, https://doi.org/10.1016/j.atmosenv.2019.117081, 2020.
Bei, N., Li, G., Huang, R., Cao, J., Meng, N., Feng, T., Liu, S., Zhang, T., Zhang, Q., and Molina, L. T.: Typical synoptic situations and their impacts on the wintertime air pollution in the Guanzhong Basin, China, Atmos. Chem. Phys., 16, 7373–7387, https://doi.org/10.5194/acp-16-7373-2016, 2016a.
Bei, N., Xiao, B., Meng, N., and Feng, T.: Critical role of meteorological conditions in a persistent haze episode in the Guanzhong Basin, China, Sci. Total Environ., 550, 273–284, https://doi.org/10.1016/j.scitotenv.2016.01.124, 2016b.
Bei, N., Wu, J., Elser, M., Feng, T., Cao, J., El-Haddad, I., Li, X., Huang, R. J., Li, Z., Long, X., Zhao, S., Tie, X., Prévôt, A. S. H., and Li, G.: Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study, Atmos. Chem. Phys., 17, 14579–14591, https://doi.org/10.5194/acp-17-14579-2017, 2017a.
Bei, N., Zhao, L., Xiao, B., Meng, N., and Feng, T.: Impacts of local circulations on the wintertime air pollution in the Guanzhong Basin, China, Sci. Total Environ., 592, 373–390, https://doi.org/10.1016/j.scitotenv.2017.02.151, 2017b.
Bei, N., Xiao, B., Wang, R., Yang, Y., Liu, L., Han, Y., and Li, G.: Impacts of aerosol–radiation and aerosol–cloud interactions on a short-term heavy-rainfall event – a case study in the Guanzhong Basin, China, Atmos. Chem. Phys., 25, 10931–10948, https://doi.org/10.5194/acp-25-10931-2025, 2025.
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V., Kondo, Y., Liao, H., and Lohmann, U.: Clouds and aerosols, in Climate change 2013: The physical science basis, in: Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change, Cambridge University Press, 571–657, https://doi.org/10.1017/CBO9781107415324.016, 2013.
Braham Jr., R. R.: Cloud physics of urban weather modification – a preliminary report, B. Am. Meteorol. Soc., 55, 100–106, 1974.
Cao, Q., Jiang, B., Shen, X., Lin, W., and Chen, J.: Microphysics effects of anthropogenic aerosols on urban heavy precipitation over the Pearl River Delta, China, Atmos. Res., 253, 105478, https://doi.org/10.1016/j.atmosres.2021.105478, 2021.
Charlson, R. J., Schwartz, S. E., Hales, J. M., Cess, R. D., Coakley Jr., J. A., Hansen, J. E., and Hofmann, D. J.: Climate forcing by anthropogenic aerosols, Science, 255, 423–430, https://doi.org/10.1126/science.255.5043.423, 1992.
Cheng, Y., Yu, Q.-Q., Liu, J.-M., Zhu, S., Zhang, M., Zhang, H., Zheng, B., and He, K.-B.: Model vs. observation discrepancy in aerosol characteristics during a half-year long campaign in Northeast China: the role of biomass burning, Environ. Pollut., 269, 116167, https://doi.org/10.1016/j.envpol.2020.116167, 2021.
Chou, M. D. and Suarez, M. J.: A solar radiation parameterization for atmospheric studies, in: Technical Report Series on Global Modeling and Data Assimilation, edited by: Suarez, M. J., NASA Goddard Space Flight Center, Greenbelt, Maryland, USA, Vol. 15, NASA/TM-1999-104606, 40 pp., https://ntrs.nasa.gov/citations/19990060930 (last access: 22 September 2024), 1999.
Chou, M. D., Suarez, M. J., Liang, X. Z., Yan, M. M. H., and Cote, C.: A thermal infrared radiation parameterization for atmospheric studies, in: Technical Report Series on Global Modeling and Data Assimilation (No. NASA/TM-2001-104606), edited by: Suarez M. J., Goddard Space Flight Center, Greenbelt, Maryland, 19, https://ntrs.nasa.gov/citations/20010072848 (last access: 22 September 2024), 2001.
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.
Ding, Q., Sun, J., Huang, X., Ding, A., Zou, J., Yang, X., and Fu, C.: Impacts of black carbon on the formation of advection–radiation fog during a haze pollution episode in eastern China, Atmos. Chem. Phys., 19, 7759–7774, https://doi.org/10.5194/acp-19-7759-2019, 2019.
Gao, M., Carmichael, G. R., Wang, Y., Saide, P. E., Yu, M., Xin, J., Liu, Z., and Wang, Z.: Modeling study of the 2010 regional haze event in the North China Plain, Atmos. Chem. Phys., 16, 1673–1691, https://doi.org/10.5194/acp-16-1673-2016, 2016.
Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G., Skamarock, W. C., and Eder, B.: Fully coupled “online” chemistry within the WRF model, Atmos. Environ., 39, 6957–6975, https://doi.org/10.1016/j.atmosenv.2005.04.027, 2005.
Guo, J., Deng, M., Fan, J., Li, Z., Chen, Q., Zhai, P., Dai, Z., and Li, X.: Precipitation and air pollution at mountain and plain stations in northern China: insights gained from observations and modeling, J. Geophys. Res.-Atmos., 119, 4793–4807, https://doi.org/10.1002/2013JD021161, 2014.
Guo, J., Liu, H., Li, Z., Rosenfeld, D., Jiang, M., Xu, W., Jiang, J. H., He, J., Chen, D., Min, M., and Zhai, P.: Aerosol-induced changes in the vertical structure of precipitation: a perspective of TRMM precipitation radar, Atmos. Chem. Phys., 18, 13329–13343, https://doi.org/10.5194/acp-18-13329-2018, 2018.
Guo, L., Fu, D., Xiao, H., Zhang, Y., and Miao, S.: Numerical analysis of the impact of complex urban environment on a snowfall event in Beijing, J. Geophys. Res.-Atmos., 126, e2021JD035442, https://doi.org/10.1029/2021JD035442, 2021.
Horowitz, L. W., Walters, S., Mauzerall, D. L., Emmons, L. K., Rasch, P. J., Granier, C., Tie, X., Lamarque, J.-F., Schultz, M. G., Tyndall, G. S., Orlando, J. J., and Brasseur, G. P.: A global simulation of tropospheric ozone and related tracers: Description and evaluation of MOZART, version 2, J. Geophys. Res.-Atmos., 108, 4784, https://doi.org/10.1029/2002JD002853, 2003.
Hu, Y., Zang, Z., Chen, D., Ma, X., Liang, Y., You, W., Pan, X., Wang, L., Wang, D., and Zhang, Z.: Optimization and evaluation of SO2 emissions based on WRF-Chem and 3DVAR data assimilation, Remote Sens., 14, 220, https://doi.org/10.3390/rs14010220, 2022.
Huang, X. and Ding, A.: Aerosol as a critical factor causing forecast biases of air temperature in global numerical weather prediction models, Sci. Bull., 66, 1917–1924, https://doi.org/10.1016/j.scib.2021.05.009, 2021.
Huo, F., Liu, Y., Li, R., Wang, Y., Li, Z., Zhang, Y., and He, Q.: Reduction in autumn precipitation over Southwest China by anthropogenic aerosol emissions from eastern China, Atmos. Res., 257, 105627, https://doi.org/10.1016/j.atmosres.2021.105627, 2021.
IPCC: Climate Change 2013: The Physical Science Basis, in: Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK and New York, NY, USA, https://doi.org/10.1017/CBO9781107415324, 2013.
IPCC: Climate Change 2021: The Physical Science Basis, in: Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK and New York, NY, USA, https://doi.org/10.1017/9781009157896, 2021.
Khain, A., Rosenfeld, D., and Pokrovsky, A.: Aerosol impact on the dynamics and microphysics of deep convective clouds, Q. J. Roy. Meteorol. Soc., 131, 2639–2663, https://doi.org/10.1256/qj.04.62, 2005.
Khain, A., BenMoshe, N., and Pokrovsky, A.: Factors determining the impact of aerosols on surface precipitation from clouds: an attempt at classification, J. Atmos. Sci., 65, 1721–1748, https://doi.org/10.1175/2007JAS2515.1, 2008.
Kogan, Y. L. and Martin, W. J.: Parameterization of bulk condensation in numerical cloud models, J. Atmos. Sci., 51, 1728–1739, https://doi.org/10.1175/1520-0469(1994)051<1728:POBCIN>2.0.CO;2, 1994.
Koren, I., Kaufman, Y. J., Remer, L. A., and Martins, J. V.: Measurement of the effect of Amazon smoke on inhibition of cloud formation, Science, 303, 1342–1345, https://doi.org/10.1126/science.1089424, 2004.
Lee, S. S., Guo, J., and Li, Z.: Delaying precipitation by air pollution over the Pearl River Delta: 2. Model simulations, J. Geophys. Res.-Atmos., 121, 11739–11760, https://doi.org/10.1002/2015JD024362, 2016.
Li, G., Wang, Y., and Zhang, R.: Implementation of a two-moment bulk microphysics scheme to the WRF model to investigate aerosol–cloud interaction, J. Geophys. Res.-Atmos., 113, D15211, https://doi.org/10.1029/2007JD009361, 2008.
Li, G., Wang, Y., Lee, K.-H., Diao, Y., and Zhang, R.: Impacts of aerosols on the development and precipitation of a mesoscale squall line, J. Geophys. Res.-Atmos., 114, D17205, https://doi.org/10.1029/2008JD011581, 2009.
Li, G., Lei, W., Zavala, M., Volkamer, R., Dusanter, S., Stevens, P., and Molina, L. T.: Impacts of HONO sources on the photochemistry in Mexico City during the MCMA-2006/MILAGO Campaign, Atmos. Chem. Phys., 10, 6551–6567, https://doi.org/10.5194/acp-10-6551-2010, 2010.
Li, G., Bei, N., Tie, X., and Molina, L. T.: Aerosol effects on the photochemistry in Mexico City during MCMA-2006/MILAGRO campaign, Atmos. Chem. Phys., 11, 5169–5182, https://doi.org/10.5194/acp-11-5169-2011, 2011a.
Li, G., Zavala, M., Lei, W., Tsimpidi, A. P., Karydis, V. A., Pandis, S. N., Canagaratna, M. R., and Molina, L. T.: Simulations of organic aerosol concentrations in Mexico City using the WRF-CHEM model during the MCMA-2006/MILAGRO campaign, Atmos. Chem. Phys., 11, 3789–3809, https://doi.org/10.5194/acp-11-3789-2011, 2011b.
Li, G., Lei, W., Bei, N., and Molina, L. T.: Contribution of garbage burning to chloride and PM2.5 in Mexico City, Atmos. Chem. Phys., 12, 8751–8761, https://doi.org/10.5194/acp-12-8751-2012, 2012.
Li, Q., Zhang, H., Cai, X., Song, Y., and Zhu, T.: The impacts of the atmospheric boundary layer on regional haze in North China, npj Clim. Atmos. Sci., 4, 9, https://doi.org/10.1038/s41612-021-00165-y, 2021.
Li, Z., He, Y., Yu, S., Wang, H., Fan, F., Qin, C., Chen, Y., Dai, W., Jin, Z., and Zhao, D.: Intercomparison of multiple chemical mechanisms in simulating severe haze event over the North China Plain, Atmos. Environ., 361, 121439, https://doi.org/10.1016/j.atmosenv.2025.121439, 2025.
Lin, Q., Chen, J., Ou, T., Lai, H.-W., Prein, A. F., and Chen, D.: Performance of the WRF model at the convection-permitting scale in simulating snowfall and lake-effect snow over the Tibetan Plateau, J. Geophys. Res.-Atmos., 128, e2022JD038433, https://doi.org/10.1029/2022JD038433, 2023.
Liu, J., Yang, K., Wang, J., Zhou, X., Jiang, Y., Shao, C., Lu, H., Yao, X., Sun, J., and Shi, J.: Impacts of a shallow convection scheme on kilometer-scale atmospheric simulations over the Tibetan Plateau, Clim. Dynam., 62, 8019–8034, https://doi.org/10.1007/s00382-024-07320-0, 2024.
Liu, L., Ma, Y., Menenti, M., Zhang, X., and Ma, W.: Evaluation of WRF modeling in relation to different land surface schemes and initial and boundary conditions: A snow event simulation over the Tibetan Plateau, J. Geophys. Res.-Atmos., 124, 209–226, https://doi.org/10.1029/2018JD029208, 2019.
Makar, P. A., Gong, W., Milbrandt, J., Hogrefe, C., Zhang, Y., Curci, G., Žabkar, R., Im, U., Balzarini, A., Baró, R., Bianconi, R., Cheung, P., Forkel, R., Gravel, S., Hirtl, M., Honzak, L., Hou, A., Jiménez-Guerrero, P., Langer, M., Moran, M. D., Pabla, B., Pérez, J. L., Pirovano, G., San José, R., Tuccella, P., Werhahn, J., Zhang, J., and Galmarini, S.: Feedbacks between air pollution and weather, Part 1: Effects on weather, Atmos. Environ., 115, 442–469, https://doi.org/10.1016/j.atmosenv.2014.12.003, 2015.
Menon, S., Hansen, J., Nazarenko, L., and Luo, Y.: Climate effects of black carbon aerosols in China and India, Science, 297, 2250–2253, https://doi.org/10.1126/science.1075159, 2002.
Mitchell Jr., J. M.: The effect of atmospheric aerosols on climate with special reference to temperature near the earth's surface, J. Appl. Meteorol. Clim., 10, 703–714, https://doi.org/10.1175/1520-0450(1971)010<0703:TEOAAO>2.0.CO;2, 1971.
Moraglia, G. and Crippa, P.: Assessing the influence of aerosols on urban precipitation: a sensitivity study of Dallas–Fort Worth, Atmos. Res., 328, 108436, https://doi.org/10.1016/j.atmosres.2025.108436, 2026.
Morrison, H., Thompson, G., and Tatarskii, V.: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of one-and two-moment schemes, Mon. Weather Rev., 137, 991–1007, https://doi.org/10.1175/2008MWR2556.1, 2009.
Myhre, G., Samset, B. H., Schulz, M., Balkanski, Y., Bauer, S., Berntsen, T. K., Bian, H., Bellouin, N., Chin, M., Diehl, T., Easter, R. C., Feichter, J., Ghan, S. J., Hauglustaine, D., Iversen, T., Kinne, S., Kirkevåg, A., Lamarque, J.-F., Lin, G., Liu, X., Lund, M. T., Luo, G., Ma, X., van Noije, T., Penner, J. E., Rasch, P. J., Ruiz, A., Seland, Ø., Skeie, R. B., Stier, P., Takemura, T., Tsigaridis, K., Wang, P., Wang, Z., Xu, L., Yu, H., Yu, F., Yoon, J.-H., Zhang, K., Zhang, H., and Zhou, C.: Radiative forcing of the direct aerosol effect from AeroCom Phase II simulations, Atmos. Chem. Phys., 13, 1853–1877, https://doi.org/10.5194/acp-13-1853-2013, 2013.
Öktem, R., Romps, D. M., and Varble, A. C.: No warm-phase invigoration of convection detected during GoAmazon, J. Atmos. Sci., 80, 2345–2364, https://doi.org/10.1175/JAS-D-22-0241.1, 2023.
Peng, H., Hu, X., Ai, W., Qiao, J., and Zhao, X.: Effects of fine and coarse aerosols on the summer precipitation structure and microphysics over the Yangtze River Delta region, Atmos. Res., 326, 108277, https://doi.org/10.1016/j.atmosres.2025.108277, 2025.
Pinsky, M., Mazin, I. P., Korolev, A., and Khain, A.: Supersaturation and diffusional droplet growth in liquid clouds, J. Atmos. Sci., 70, 2778–2793, https://doi.org/10.1175/JAS-D-12-077.1, 2013.
Pravia-Sarabia, E., Montávez, J. P., Halifa-Marin, A., Jiménez-Guerrero, P., and Gómez-Navarro, J. J.: The Role of Aerosol Concentration on Precipitation in a Winter Extreme Mixed-Phase System: The Case of Storm Filomena, Remote Sens., 15, 1398, https://doi.org/10.3390/rs15051398, 2023.
Quaas, J.: Approaches to observe anthropogenic aerosol–cloud interactions, Curr. Clim. Change Rep., 1, 297–304, https://doi.org/10.1007/s40641-015-0028-0, 2015.
Romps, D. M., Latimer, K., Zhu, Q., Jurkat-Witschas, T., Mahnke, C., Prabhakaran, T., Weigel, R., and Wendisch, M.: Air pollution unable to intensify storms via warm-phase invigoration, Geophys. Res. Lett., 50, e2022GL100409, https://doi.org/10.1029/2022GL100409, 2023.
Rosenfeld, D.: TRMM observed first direct evidence of smoke from forest fires inhibiting rainfall, Geophys. Res. Lett., 26, 3105–3108, https://doi.org/10.1029/1999GL006066, 1999.
Rosenfeld, D., Dai, J., Yu, X., Yao, Z., Xu, X., Yang, X., and Du, C.: Inverse relations between amounts of air pollution and orographic precipitation, Science, 315, 1396–1398, https://doi.org/10.1126/science.1137949, 2007.
Rosenfeld, D., Lohmann, U., Raga, G. B., O'Dowd, C. D., Kulmala, M., Fuzzi, S., Reissell, A., and Andreae, M. O.: Flood or drought: how do aerosols affect precipitation?, Science, 321, 1309–1313, https://doi.org/10.1126/science.1160606, 2008.
Ryu, Y.-H. and Min, S.-K.: Greenhouse warming and anthropogenic aerosols synergistically reduce springtime rainfall in low-latitude East Asia, npj Clim. Atmos. Sci., 5, 69, https://doi.org/10.1038/s41612-022-00295-x, 2022.
Saleeby, S. M., Cotton, W. R., and Fuller, J. D.: The cumulative impact of cloud droplet nucleating aerosols on orographic snowfall in Colorado, J. Appl. Meteorol. Clim., 50, 599–612, https://doi.org/10.1175/2010JAMC2498.1, 2010.
Shao, T., Zhang, H., Xu, X., Li, J., Wu, S., and Liu, Y.: Role of anthropogenic aerosols in affecting different-grade precipitation over eastern China: a case study, Sci. Total Environ., 807, 150886, https://doi.org/10.1016/j.scitotenv.2021.150886, 2022.
Sun, N., Fu, Y., Zhong, L., and Li, R.: Aerosol effects on the vertical structure of precipitation in East China, npj Clim. Atmos. Sci., 5, 60, https://doi.org/10.1038/s41612-022-00284-0, 2022.
Sun, Y. and Zhao, C.: Distinct impacts on precipitation by aerosol radiative effect over three different megacity regions of eastern China, Atmos. Chem. Phys., 21, 16555–16574, https://doi.org/10.5194/acp-21-16555-2021, 2021.
Tao, W. K., Li, X. W., Khain, A., Matsui, T., and Lang, S.: Role of atmospheric aerosol concentration on deep convective precipitation: cloud-resolving model simulation, J. Geophys. Res.-Atmos., 112, D24S18, https://doi.org/10.1029/2007JD008728, 2007.
Thompson, G. and Eidhammer, T.: A study of aerosol impacts on clouds and precipitation development in a large winter cyclone, J. Atmos. Sci., 71, 3636–3658, https://doi.org/10.1175/JAS-D-13-0305.1, 2014.
Travis, K. R., Nault, B. A., Crawford, J. H., Kim, H., Chen, Q., Zheng, Y., Liu, T., Jimenez, J. L., Campuzano-Jost, P., Wennberg, P. O., Crounse, J. D., and Huey, L. G.: Year-round analysis of multiphase sulfate production in aerosol particles in East Asia, ACS ES&T Air, 2, 1758–1769, https://doi.org/10.1021/acsestair.5c00136, 2025.
Twomey, S.: The influence of pollution on the shortwave albedo of clouds, J. Atmos. Sci., 34, 1149–1152, https://doi.org/10.1175/1520-0469(1977)034<1149:TIOPOT>2.0.CO;2, 1977.
Varble, A. C., Igel, A. L., Morrison, H., Grabowski, W. W., and Lebo, Z. J.: Opinion: A critical evaluation of the evidence for aerosol invigoration of deep convection, Atmos. Chem. Phys., 23, 13791–13808, https://doi.org/10.5194/acp-23-13791-2023, 2023.
Wang, W., Chen, G., and Zhang, Y.: Role of aerosol ice-nucleus effect in the development of the “21⋅7” Henan extreme precipitation, J. Geophys. Res.-Atmos., 129, e2024JD041487, https://doi.org/10.1029/2024JD041487, 2024.
Wang, Y., Wan, Q., Meng, W., Liao, F., Tan, H., and Zhang, R.: Long-term impacts of aerosols on precipitation and lightning over the Pearl River Delta megacity area in China, Atmos. Chem. Phys., 11, 12421–12436, https://doi.org/10.5194/acp-11-12421-2011, 2011.
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.
Wu, J., Bei, N., Wang, Y., Su, X., Zhang, N., Wang, L., Hu, B., Wang, Q., Jiang, Q., Zhang, C., Liu, Y., Wang, R., Li, X., Lu, Y., Liu, Z., Cao, J., Tie, X., Li, G., and Seinfeld, J. H.: Aerosol light absorption alleviates particulate pollution during wintertime haze events, P. Natl. Acad. Sci. USA, 122, e2402281121, https://doi.org/10.1073/pnas.2402281121, 2025.
Xiao, Z., Zhu, S., Miao, Y., Yu, Y., and Che, H.: On the relationship between convective precipitation and aerosol pollution in the North China Plain during autumn and winter, Atmos. Res., 271, 106120, https://doi.org/10.1016/j.atmosres.2022.106120, 2022.
Xie, X., Myhre, G., Shindell, D., Faluvegi, G., Takemura, T., Voulgarakis, A., Shi, Z., Li, X., Xie, X., Liu, H., Liu, X., and Liu, Y.: Anthropogenic sulfate aerosol pollution in South and East Asia induces increased summer precipitation over arid Central Asia, Commun. Earth Environ., 3, 328, https://doi.org/10.1038/s43247-022-00660-x, 2022.
Yang, X. and Li, Z.: Increases in thunderstorm activity and relationships with air pollution in southeast China, J. Geophys. Res.-Atmos., 119, 1835–1844, https://doi.org/10.1002/2013JD021224, 2014.
Yang, X., Ferrat, M., and Li, Z.: New evidence of orographic precipitation suppression by aerosols in central China, Meteorol. Atmos. Phys., 119, 17–29, https://doi.org/10.1007/s00703-012-0221-9, 2013a.
Yang, X., Yao, Z., Li, Z., and Fan, T.: Heavy air pollution suppresses summer thunderstorms in central China, J. Atmos. Sol. Terr. Phy., 95, 28–40, https://doi.org/10.1016/j.jastp.2012.12.023, 2013b.
Yun, Y., Zhang, D.-L., Gao, W., Yin, J., Zhao, C., Li, J., Guo, J., and Liu, H.: Spatiotemporal variations of the effects of aerosols on clouds and precipitation in an extreme-rain-producing MCS in South China, J. Geophys. Res.-Atmos., 129, e2023JD040014, https://doi.org/10.1029/2023JD040014, 2024.
Zhang, L., Wu, P., and Zhou, T.: Aerosol forcing of extreme summer drought over North China, Environ. Res. Lett., 12, 034020, https://doi.org/10.1088/1748-9326/aa5fb0, 2017.
Zhang, W., Wang, H., Zhang, X., Huang, L., Peng, Y., Liu, Z., Zhang, X., and Che, H.: Aerosol–cloud interaction in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on mesoscale numerical weather prediction under haze pollution conditions in Jing–Jin–Ji in China, Atmos. Chem. Phys., 22, 15207–15221, https://doi.org/10.5194/acp-22-15207-2022, 2022.
Zhang, Y., Easter, R. C., Ghan, S. J., and Abdul-Razzak, H.: Impact of aerosol size representation on modeling aerosol-cloud interactions, J. Geophys. Res.-Atmos., 107, 4558, https://doi.org/10.1029/2001JD001549, 2002.
Zhao, C., Sun, Y., Yang, J., Li, J., Zhou, Y., Yang, Y., Fan, H., and Zhao, X.: Observational evidence and mechanisms of aerosol effects on precipitation, Sci. Bull., 69, 1569–1580, https://doi.org/10.1016/j.scib.2024.03.014, 2024.
Zhou, Y., Zhao, C., and Sun, Y.: A modeling study of aerosol effect on summer nocturnal convective precipitation in Beijing, Atmos. Res., 305, 107430, https://doi.org/10.1016/j.atmosres.2024.107430, 2024.
Short summary
This study examines how air pollution affects snowfall during a winter storm in central China. Using a detailed computer model of weather and air pollution, we compared conditions with different pollution levels. We find that pollution can either increase or decrease snowfall, depending on air moisture and whether snow forms mainly as ice or liquid. Pollution mainly changes how often snowfall occurs, rather than where it falls, improving understanding of weather and climate impacts.
This study examines how air pollution affects snowfall during a winter storm in central China....
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