Articles | Volume 25, issue 19
https://doi.org/10.5194/acp-25-11951-2025
© 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-25-11951-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Oct 2025
Research article |
| 02 Oct 2025
| 02 Oct 2025
Evolution of aerosol optical depth over China in 2010–2024: increasing importance of meteorological influences
Cheng Fan
State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730AE De Bilt, the Netherlands
State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Jiantao Dong
Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment of the People's Republic of China, Beijing 100094, China
Hanqing Kang
Key Laboratory for Aerosol–Cloud–Precipitation of the China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China
Chengwei Fang
Cloud–Precipitation Physics and Weather Modification Key Laboratory (CPML), CMA Weather Modification Centre, Beijing 100081, China
Zhengqiang Li
State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Ying Zhang
State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
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Revised manuscript not accepted
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Cited articles
Bacmeister, J. T., Wehner, M. F., Neale, R. B., Gettelman, A., Hannay, C., Lauritzen, P. H., Caron, J. M., and Truesdale, J. E.: Exploratory High-Resolution Climate Simulations using the Community Atmosphere Model (CAM), J. Climate, 27, 3073–3099, https://doi.org/10.1175/JCLI-D-13-00387.1, 2014.
Banks, A., Kooperman, G. J., and Xu, Y.: Meteorological Influences on Anthropogenic PM2.5 in Future Climates: Species Level Analysis in the Community Earth System Model v2, Earths Future, 10, e2021EF002298, https://doi.org/10.1029/2021EF002298, 2022.
de Leeuw, G., Sogacheva, L., Rodriguez, E., Kourtidis, K., Georgoulias, A. K., Alexandri, G., Amiridis, V., Proestakis, E., Marinou, E., Xue, Y., and van der A, R.: Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns, Atmos. Chem. Phys., 18, 1573–1592, https://doi.org/10.5194/acp-18-1573-2018, 2018.
de Leeuw, G., Fan, C., Li, Z., Dong, J., Li, Y., Ou, Y., and Zhu, S.: Spatiotemporal variation and provincial scale differences of the AOD across China during 2000–2021, Atmos. Pollut. Res., 13, 101359, https://doi.org/10.1016/j.apr.2022.101359, 2022.
de Leeuw, G., Kang, H., Fan, C., Li, Z., Fang, C., and Zhang, Y.: Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade, Atmos. Environ., 301, 119676, https://doi.org/10.1016/j.atmosenv.2023.119676, 2023.
de Leeuw, G., van der A, R., Bai, J., den Hoed, M., Ding, J., Guo, J., Li, Z., Zhang, Y., Fan, C., Qin, K., Sinnathamby, S., Safieddine, S., Varotsos, C., Xue, Y., Yin, Y., Zhang, Q., Zhang, X., Zhang, X., and Zhang, X.: Remote sensing of air pollutants in China to study the effects of emission reduction policies on air quality, J. Atmos. Sol.-Terr. Phy., 265, 106392, https://doi.org/10.1016/j.jastp.2024.106392, 2024.
Du, H., Li, J., Wang, Z., Chen, X., Yang, W., Sun, Y., Xin, J., Pan, X., Wang, W., Ye, Q., and Dao, X.: Assessment of the effect of meteorological and emission variations on winter PM2.5 over the North China Plain in the three-year action plan against air pollution in 2018–2020, Atmos. Res., 280, 106395, https://doi.org/10.1016/j.atmosres.2022.106395, 2022.
Emmons, L. K., Walters, S., Hess, P. G., Lamarque, J.-F., Pfister, G. G., Fillmore, D., Granier, C., Guenther, A., Kinnison, D., Laepple, T., Orlando, J., Tie, X., Tyndall, G., Wiedinmyer, C., Baughcum, S. L., and Kloster, S.: Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4), Geosci. Model Dev., 3, 43–67, https://doi.org/10.5194/gmd-3-43-2010, 2010.
Fang, C., Zhu, B., Pan, C., Yun, X., Ding, D., and Tao, S.: Regional and Sectoral Sources for Black Carbon Over South China in Spring and Their Sensitivity to East Asian Summer Monsoon Onset, J. Geophys. Res.-Atmos., 125, e2020JD033219, https://doi.org/10.1029/2020JD033219, 2020.
Feng, J., Zhu, J., and Li, Y.: Influences of El Niño on aerosol concentrations over eastern China, Atmos. Sci. Lett., 17, 422–430, https://doi.org/10.1002/asl.674, 2016.
Feng, Y., Ning, M., Lei, Y., Sun, Y., Liu, W., and Wang, J.: Defending blue sky in China: Effectiveness of the “Air Pollution Prevention and Control Action Plan” on air quality improvements from 2013 to 2017, J. Environ. Manage., 252, 109603, https://doi.org/10.1016/j.jenvman.2019.109603, 2019.
Gelaro, R., McCarty, W., Suarez, 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.
Geng, G., Zhang, Q., Tong, D., Li, M., Zheng, Y., Wang, S., and He, K.: Chemical composition of ambient PM2.5 over China and relationship to precursor emissions during 2005–2012, Atmos. Chem. Phys., 17, 9187–9203, https://doi.org/10.5194/acp-17-9187-2017, 2017.
Geng, G., Xiao, Q., Zheng, Y., Tong, D., Zhang, Y., Zhang, X., Zhang, Q., He, K., and Liu, Y.: Impact of China's Air Pollution Prevention and Control Action Plan on PM2.5 chemical composition over eastern China, Sci. China Earth Sci., 62, 1872–1884, https://doi.org/10.1007/s11430-018-9353-x, 2019.
Geng, G., Liu, Y., Liu, Y., Liu, S., Cheng, J., Yan, L., Wu, N., Hu, H., Tong, D., Zheng, B., Yin, Z., He, K., and Zhang, Q.: Efficacy of China's clean air actions to tackle PM2.5 pollution between 2013 and 2020, Nat. Geosci., 17, 987–994, https://doi.org/10.1038/s41561-024-01540-z, 2024.
Glotfelty, T., He, J., and Zhang, Y.: Impact of future climate policy scenarios on air quality and aerosol-cloud interactions using an advanced version of CESM/CAM5: Part I. model evaluation for the current decadal simulations, Atmos. Environ., 152, 222–239, https://doi.org/10.1016/j.atmosenv.2016.12.035, 2017.
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., and Moore, R.: Google Earth Engine: Planetary-scale geospatial analysis for everyone, Remote Sensing of Environment, 202, 18–27, https://doi.org/10.1016/j.rse.2017.06.031, 2017.
He, J., Zhang, Y., Glotfelty, T., He, R., Bennartz, R., Rausch, J., and Sartelet, K.: Decadal simulation and comprehensive evaluation of CESM/CAM5.1 with advanced chemistry, aerosol microphysics, and aerosol-cloud interactions, J. Adv. Model. Earth Sy., 7, 110–141, https://doi.org/10.1002/2014MS000360, 2015.
Hsu, N. C., Jeong, M.-J., Bettenhausen, C., Sayer, A. M., Hansell, R., Seftor, C. S., Huang, J., and Tsay, S.-C.: Enhanced Deep Blue aerosol retrieval algorithm: The second generation, J. Geophys. Res.-Atmos., 118, 9296–9315, https://doi.org/10.1002/jgrd.50712, 2013.
Hsu, N. C., Lee, J., Sayer, A. M., Kim, W., Bettenhausen, C., and Tsay, S.-C.: VIIRS Deep Blue Aerosol Products Over Land: Extending the EOS Long-Term Aerosol Data Records, J. Geophys. Res.-Atmos., 124, 4026–4053, https://doi.org/10.1029/2018JD029688, 2019.
Huang, G., Su, X., Wang, L., Wang, Y., Cao, M., Wang, L., Ma, X., Zhao, Y., and Yang, L.: Evaluation and analysis of long-term MODIS MAIAC aerosol products in China, Sci. Total Environ., 948, 174983, https://doi.org/10.1016/j.scitotenv.2024.174983, 2024.
Huang, L., Zhu, Y., Wang, Q., Zhu, A., Liu, Z., Wang, Y., Allen, D. T., and Li, L.: Assessment of the effects of straw burning bans in China: Emissions, air quality, and health impacts, Sci. Total Environ., 789, 147935, https://doi.org/10.1016/j.scitotenv.2021.147935, 2021.
Huang, X., Rhoades, A. M., Ullrich, P. A., and Zarzycki, C. M.: An evaluation of the variable-resolution CESM for modeling California's climate, J. Adv. Model. Earth Sy., 8, 345–369, https://doi.org/10.1002/2015MS000559, 2016.
Hurrell, J. W., Holland, M. M., Gent, P. R., Ghan, S., Kay, J. E., Kushner, P. J., Lamarque, J.-F., Large, W. G., Lawrence, D., Lindsay, K., Lipscomb, W. H., Long, M. C., Mahowald, N., Marsh, D. R., Neale, R. B., Rasch, P., Vavrus, S., Vertenstein, M., Bader, D., Collins, W. D., Hack, J. J., Kiehl, J., and Marshall, S.: The Community Earth System Model: A Framework for Collaborative Research, B. Am. Meteorol. Soc., 94, 1339–1360, https://doi.org/10.1175/BAMS-D-12-00121.1, 2013.
Iwakiri, T., Imada, Y., Takaya, Y., Kataoka, T., Tatebe, H., and Watanabe, M.: Triple-Dip La Niña in 2020–23: North Pacific Atmosphere Drives 2nd Year La Niña, Geophys. Res. Lett., 50, e2023GL105763, https://doi.org/10.1029/2023GL105763, 2023.
Ji, H., Shao, M., and Wang, Q. g.: Contribution of Meteorological Conditions to Inter-annual Variations in Air Quality during the Past Decade in Eastern China, Aerosol Air Qual. Res., 20, 2249–2259, https://doi.org/10.4209/aaqr.2019.12.0624, 2020.
Ji, W., Yang, L., Tian, X., Bilal, M., Pei, X., Zheng, Y., Lu, X., and Cheng, X.: Long-term validation and error analysis of DB and MAIAC aerosol products over bright surface of China, Atmos. Res., 297, 107106, https://doi.org/10.1016/j.atmosres.2023.107106, 2024.
Jin, D., Guan, Z., and Tang, W.: The Extreme Drought Event during Winter–Spring of 2011 in East China: Combined Influences of Teleconnection in Midhigh Latitudes and Thermal Forcing in Maritime Continent Region, J. Climate, 26, 8210–8222, https://doi.org/10.1175/JCLI-D-12-00652.1, 2013.
Jing, D., He, Y., Yin, Z., Huang, K., Liu, F., and Yi, F.: Evolution of tropospheric aerosols over central China during 2010–2024 as observed by lidar, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-56, 2025.
Kang, H., Zhu, B., van der A, R. J., Zhu, C., de Leeuw, G., Hou, X., and Gao, J.: Natural and anthropogenic contributions to long-term variations of SO2, NO2, CO, and AOD over East China, Atmos. Res., 215, 284–293, https://doi.org/10.1016/j.atmosres.2018.09.012, 2019.
Kang, N., Kanike, R., Hu, K., Yu, X., and Yin, Y.: Long-term (2002–2014) evolution and trend in Collection 5 Level-2 aerosol products derived from the MODIS and MISR sensors over the Chinese Yangtze River Delta, Atmos. Res., 181, https://doi.org/10.1016/j.atmosres.2016.06.008, 2016.
Lamarque, J.-F., Emmons, L. K., Hess, P. G., Kinnison, D. E., Tilmes, S., Vitt, F., Heald, C. L., Holland, E. A., Lauritzen, P. H., Neu, J., Orlando, J. J., Rasch, P. J., and Tyndall, G. K.: CAM-chem: description and evaluation of interactive atmospheric chemistry in the Community Earth System Model, Geosci. Model Dev., 5, 369–411, https://doi.org/10.5194/gmd-5-369-2012, 2012.
Lauritzen, P. H., Ullrich, P. A., and Nair, R. D.: Atmospheric Transport Schemes: Desirable Properties and a Semi-Lagrangian View on Finite-Volume Discretizations, in: Numerical Techniques for Global Atmospheric Models, edited by: Lauritzen, P., Jablonowski, C., Taylor, M., and Nair, R., Springer Berlin Heidelberg, Berlin, Heidelberg, 185–250, https://doi.org/10.1007/978-3-642-11640-7_8, 2011.
Levy, R. C., Mattoo, S., Munchak, L. A., Remer, L. A., Sayer, A. M., Patadia, F., and Hsu, N. C.: The Collection 6 MODIS aerosol products over land and ocean, Atmos. Meas. Tech., 6, 2989–3034, https://doi.org/10.5194/amt-6-2989-2013, 2013.
Li, J., Gao, W., Cao, L., Xiao, Y., Zhang, Y., Zhao, S., Liu, Z., Liu, Z., Tang, G., Ji, D., Hu, B., Song, T., He, L., Hu, M., and Wang, Y.: Significant changes in autumn and winter aerosol composition and sources in Beijing from 2012 to 2018: Effects of clean air actions, Environ. Pollut., 268, 115855, https://doi.org/10.1016/j.envpol.2020.115855, 2021.
Lin, C.-A., Zhang, Y., Heath, G., Henze, D. K., Sengupta, M., and Lu, C.-H.: Improvement of aerosol optical depth data for localized solar resource assessment, Sol. Energy, 249, 457–466, https://doi.org/10.1016/j.solener.2022.11.047, 2023.
Liu, B., Wang, L., Zhang, L., Bai, K., Chen, X., Zhao, G., Yin, H., Chen, N., Li, R., Xin, J., Wang, Y., Sun, Y., and Hu, B.: Evaluating urban and nonurban PM2.5 variability under clean air actions in China during 2010–2022 based on a new high-quality dataset, Int. J. Digit. Earth, 17, 2310734, https://doi.org/10.1080/17538947.2024.2310734, 2024a.
Liu, T., He, G., and Lau, A. K. H.: Statistical evidence on the impact of agricultural straw burning on urban air quality in China, Sci. Total Environ., 711, 134633, https://doi.org/10.1016/j.scitotenv.2019.134633, 2020a.
Liu, Y., He, J., Lai, X., Zhang, C., Zhang, L., Gong, S., and Che, H.: Influence of Atmospheric Circulation on Aerosol and its Optical Characteristics in the Pearl River Delta Region, Atmos.-Basel, 11, 288, https://doi.org/10.3390/atmos11030288, 2020b.
Liu, Y., Lin, T., Hong, J., Wang, Y., Shi, L., Huang, Y., Wu, X., Zhou, H., Zhang, J., and de Leeuw, G.: Multi-dimensional satellite observations of aerosol properties and aerosol types over three major urban clusters in eastern China, Atmos. Chem. Phys., 21, 12331–12358, https://doi.org/10.5194/acp-21-12331-2021, 2021.
Liu, Z., Wang, Y., Huang, X., Zhang, Z., Lai, Q., and Li, M.: Assessment of national economic repercussions from Shanghai's COVID-19 lockdown, Humanities and Social Sciences Communications, 11, 1579, https://doi.org/10.1057/s41599-024-04100-3, 2024b.
LPDAAC: LPDAAC Releases MODIS Version 6.1 MAIAC Data Products, https://lpdaac.usgs.gov/news/lp-daac-releases-modis-version-61-maiac-data-products/ (last access: 24 February 2025), 2024.
Lyapustin, A. and Wang, Y. J.: MODIS/Terra+Aqua Land Aerosol Optical Depth Daily L2G Global 1km SIN Grid V061, NASA EOSDIS Land Processes DAAC [data set], https://doi.org/10.5067/MODIS/MCD19A2.061, 2022.
Lyapustin, A., Wang, Y., Korkin, S., and Huang, D.: MODIS Collection 6 MAIAC algorithm, Atmos. Meas. Tech., 11, 5741–5765, https://doi.org/10.5194/amt-11-5741-2018, 2018.
MEE and General Administration of Quality Supervision Inspection and Quarantine: Emission standards of air pollutants for thermal power plants, GB13223-2011, 2011.
Menut, L., Bessagnet, B., Cholakian, A., Siour, G., Mailler, S., and Pennel, R.: What is the relative impact of nudging and online coupling on meteorological variables, pollutant concentrations and aerosol optical properties?, Geosci. Model Dev., 17, 3645–3665, https://doi.org/10.5194/gmd-17-3645-2024, 2024.
NCAR: Community Earth System Model, National Center for Atmospheric Research [code], https://www.cesm.ucar.edu/models/releases (last access: May 2015), 2012.
NCAR/UCAR: MERRA2 Global Atmosphere Forcing Data, Atmospheric Chemistry Observations & Modeling/National Center for Atmospheric Research/University Corporation for Atmospheric Research, and Climate and Global Dynamics Division/National Center for Atmospheric Research/University Corporation for Atmospheric Research, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory [data set], https://doi.org/10.5065/XVAQ-2X07, 2018.
Neale, R. B., Gettelman, A., Park, S., Chen, C.-C., Lauritzen, P. H., Williamson, D. L., Conley, A. J., Kinnison, D., Marsh, D., Smith, A. K., Vitt, F. M., Garcia, R., Lamarque, J.-F., Mills, M. J., Tilmes, S., Morrison, H., Cameron-Smith, P., Collins, W. D., Iacono, M. J., Easter, R. C., Liu, X., Ghan, S. .J., Rasch, P. J., and Taylor, M. A.: Description of the NCAR Community Atmosphere Model (CAM 5.0) (No. NCAR/TN-486+STR), National Center for Atmospheric Research, Boulder, Colorado, USA, ISSN 2153-2397 (Print), ISSN 2153-2400 (Electronic), https://doi.org/10.5065/wgtk-4g06, 2012.
Proestakis, E., Amiridis, V., Marinou, E., Georgoulias, A. K., Solomos, S., Kazadzis, S., Chimot, J., Che, H., Alexandri, G., Binietoglou, I., Daskalopoulou, V., Kourtidis, K. A., de Leeuw, G., and van der A, R. J.: Nine-year spatial and temporal evolution of desert dust aerosols over South and East Asia as revealed by CALIOP, Atmos. Chem. Phys., 18, 1337–1362, https://doi.org/10.5194/acp-18-1337-2018, 2018.
Qi, L., Zheng, H., Ding, D., Ye, D., and Wang, S.: Effects of Meteorology Changes on Inter-Annual Variations of Aerosol Optical Depth and Surface PM2.5 in China – Implications for PM2.5 Remote Sensing, Remote Sens., 14, 2762, https://doi.org/10.3390/rs14122762, 2022.
Randerson, J. T., Van Der Werf, G. R., Giglio, L., Collatz, G. J., and Kasibhatla, P. S.: Global Fire Emissions Database, Version 2 (GFEDv2), ORNL DAAC, Oak Ridge, Tennessee, USA, https://doi.org/10.3334/ORNLDAAC/834, 2006.
Rienecker, M. M., Suarez, M. J., Gelaro, R., Todling, R., Bacmeister, J., Liu, E., Bosilovich, M. G., Schubert, S. D., Takacs, L., Kim, G.-K., Bloom, S., Chen, J., Collins, D., Conaty, A., da Silva, A., Gu, W., Joiner, J., Koster, R. D., Lucchesi, R., Molod, A., Owens, T., Pawson, S., Pegion, P., Redder, C. R., Reichle, R., Robertson, F. R., Ruddick, A. G., Sienkiewicz, M., and Woollen, J.: MERRA: NASA's Modern-Era Retrospective Analysis for Research and Applications, J. Climate, 24, 3624–3648, https://doi.org/10.1175/JCLI-D-11-00015.1, 2011.
Rotman, D. A., Atherton, C. S., Bergmann, D. J., Cameron-Smith, P. J., Chuang, C. C., Connell, P. S., Dignon, J. E., Franz, A., Grant, K. E., Kinnison, D. E., Molenkamp, C. R., Proctor, D. D., and Tannahill, J. R.: IMPACT, the LLNL 3-D global atmospheric chemical transport model for the combined troposphere and stratosphere: Model description and analysis of ozone and other trace gases, J. Geophys. Res.-Atmos., 109, https://doi.org/10.1029/2002JD003155, 2004.
Sayer, A. M., Munchak, L. A., Hsu, N. C., Levy, R. C., Bettenhausen, C., and Jeong, M.-J.: MODIS Collection 6 aerosol products: Comparison between Aqua's e-Deep Blue, Dark Target, and “merged” data sets, and usage recommendations, J. Geophys. Res.-Atmos., 119, 13965–13989, https://doi.org/10.1002/2014JD022453, 2014.
Sayer, A. M., Hsu, N. C., Bettenhausen, C., Jeong, M. J., and Meister, G.: Effect of MODIS Terra radiometric calibration improvements on Collection 6 Deep Blue aerosol products: Validation and Terra/Aqua consistency, J. Geophys. Res.-Atmos., 120, https://doi.org/10.1002/2015jd023878, 2015.
Sayer, A. M., Hsu, N. C., Lee, J., Kim, W. V., and Dutcher, S. T.: Validation, Stability, and Consistency of MODIS Collection 6.1 and VIIRS Version 1 Deep Blue Aerosol Data Over Land, J. Geophys. Res.-Atmos., 124, 4658–4688, https://doi.org/10.1029/2018JD029598, 2019.
Sogacheva, L., Rodriguez, E., Kolmonen, P., Virtanen, T. H., Saponaro, G., de Leeuw, G., Georgoulias, A. K., Alexandri, G., Kourtidis, K., and van der A, R. J.: Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 2: AOD time series for 1995–2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations, Atmos. Chem. Phys., 18, 16631–16652, https://doi.org/10.5194/acp-18-16631-2018, 2018a.
Sogacheva, L., de Leeuw, G., Rodriguez, E., Kolmonen, P., Georgoulias, A. K., Alexandri, G., Kourtidis, K., Proestakis, E., Marinou, E., Amiridis, V., Xue, Y., and van der A, R. J.: Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 1: ATSR (1995–2011) and MODIS C6.1 (2000–2017), Atmos. Chem. Phys., 18, 11389–11407, https://doi.org/10.5194/acp-18-11389-2018, 2018b.
Sogacheva, L., Popp, T., Sayer, A. M., Dubovik, O., Garay, M. J., Heckel, A., Hsu, N. C., Jethva, H., Kahn, R. A., Kolmonen, P., Kosmale, M., de Leeuw, G., Levy, R. C., Litvinov, P., Lyapustin, A., North, P., Torres, O., and Arola, A.: Merging regional and global aerosol optical depth records from major available satellite products, Atmos. Chem. Phys., 20, 2031–2056, https://doi.org/10.5194/acp-20-2031-2020, 2020.
Sun, C. and Yang, S.: Persistent severe drought in southern China during winter–spring 2011: Large-scale circulation patterns and possible impacting factors, J. Geophys. Res.-Atmos., 117, https://doi.org/10.1029/2012JD017500, 2012.
Tseng, W.-L., Chen, Y.-C., Wang, Y.-C., Tseng, H.-Y., and Hsu, H.-H.: Compound spatial extremes of heatwaves and downstream air pollution events in East Asia, Atmos. Res., 312, 107772, https://doi.org/10.1016/j.atmosres.2024.107772, 2024.
Wang, H. and He, S.: The North China/Northeastern Asia Severe Summer Drought in 2014, J. Climate, 28, 150522112645005, https://doi.org/10.1175/JCLI-D-15-0202.1, 2015.
Wang, L. and Su, C.: Port congestion and resilience in Shanghai during the Citywide lockdown, Ocean Coast. Manage., 261, 107501, https://doi.org/10.1016/j.ocecoaman.2024.107501, 2025.
Wang, R., Ye, X., Huang, W., Lv, Z., Yao, Y., Yang, F., Liu, Y., Huo, J., and Duan, Y.: Long-term Trends of PM2.5 Composition during Cold Seasons in Shanghai after Releasing Clean Air Action Plan, Aerosol Air Qual. Res., 24, 240085, https://doi.org/10.4209/aaqr.240085, 2024.
Wang, S., Li, S., Xing, J., Yang, J., Dong, J., Qin, Y., and Sahu, S. K.: Evaluation of the influence of El Niño-Southern Oscillation on air quality in southern China from long-term historical observations, Front. Env. Sci. Eng., 16, 26, https://doi.org/10.1007/s11783-021-1460-0, 2021.
Worldbank: China Economic Update – June 2022, Worldbank, https://www.worldbank.org/en/country/china/publication/china-economic-update-june-2022, last access: 15 January 2022.
Wu, J., Kong, S., Wu, F., Cheng, Y., Zheng, S., Qin, S., Liu, X., Yan, Q., Zheng, H., Zheng, M., Yan, Y., Liu, D., Ding, S., Zhao, D., Shen, G., Zhao, T., and Qi, S.: The moving of high emission for biomass burning in China: View from multi-year emission estimation and human-driven forces, Environ. Int., 142, 105812, https://doi.org/10.1016/j.envint.2020.105812, 2020.
Wu, M., Liu, X., Yang, K., Luo, T., Wang, Z., Wu, C., Zhang, K., Yu, H., and Darmenov, A.: Modeling Dust in East Asia by CESM and Sources of Biases, J. Geophys. Res.-Atmos., 124, 8043–8064, https://doi.org/10.1029/2019JD030799, 2019.
Wu, X., Wang, L., Yao, R., Luo, M., and Li, X.: Identifying the dominant driving factors of heat waves in the North China Plain, Atmos. Res., 252, 105458, https://doi.org/10.1016/j.atmosres.2021.105458, 2021.
Xiao, Q., Geng, G., Liang, F., Wang, X., Lv, Z., Lei, Y., Huang, X., Zhang, Q., Liu, Y., and He, K.: Changes in spatial patterns of PM2.5 pollution in China 2000–2018: Impact of clean air policies, Environ. Int., 141, 105776, https://doi.org/10.1016/j.envint.2020.105776, 2020.
Xiao, Q., Zheng, Y., Geng, G., Chen, C., Huang, X., Che, H., Zhang, X., He, K., and Zhang, Q.: Separating emission and meteorological contributions to long-term PM2.5 trends over eastern China during 2000–2018, Atmos. Chem. Phys., 21, 9475–9496, https://doi.org/10.5194/acp-21-9475-2021, 2021.
Xu, W., Yuan, W., Wu, D., Zhang, Y., Shen, R., Xia, X., Ciais, P., and Liu, J.: Impacts of record-breaking compound heatwave and drought events in 2022 China on vegetation growth, Agr. Forest Meteorol., 344, 109799, https://doi.org/10.1016/j.agrformet.2023.109799, 2024.
Xu, X., Qiu, J., Xia, X., Sun, L., and Min, M.: Characteristics of atmospheric aerosol optical depth variation in China during 1993–2012, Atmos. Environ., 119, 82–94, https://doi.org/10.1016/j.atmosenv.2015.08.042, 2015.
Xue, L., Ding, K., Huang, X., Zhu, A., Lou, S., Wang, Z., Xie, Y., and Ding, A.: Biomass Burning Plumes From Indochina Toward Southern China: Predominant Synoptic Weather Processes and Interactions, J. Geophys. Res.-Atmos., 130, e2024JD041813, https://doi.org/10.1029/2024JD041813, 2025.
Yan, X., Ohara, T., and Akimoto, H.: Bottom-up estimate of biomass burning in mainland China, Atmos. Environ., 40, 5262–5273, https://doi.org/10.1016/j.atmosenv.2006.04.040, 2006.
Yan, X., Xu, Y., and Pan, G.: Evolution of China's NOx emission control strategy during 2005–2020 over coal-fired power plants: A satellite-based assessment, J. Environ. Manage., 348, 119243, https://doi.org/10.1016/j.jenvman.2023.119243, 2023.
Yin, Y., Ke, H., Tu, Y., Wang, X., Chen, Y., and Jiao, S.: Changes of summer meteorological drought and their relationship with the dry and wet circulation patterns in the Huai River basin, China, Journal of Hydrology: Regional Studies, 52, 101710, https://doi.org/10.1016/j.ejrh.2024.101710, 2024.
Yin, Z., Wang, H., and Chen, H.: Understanding severe winter haze events in the North China Plain in 2014: roles of climate anomalies, Atmos. Chem. Phys., 17, 1641–1651, https://doi.org/10.5194/acp-17-1641-2017, 2017.
Zhang, C., Luo, J.-J., and Li, S.: Impacts of Tropical Indian and Atlantic Ocean Warming on the Occurrence of the 2017/2018 La Niña, Geophys. Res. Lett., 46, 3435–3445, https://doi.org/10.1029/2019GL082280, 2019a.
Zhang, J., Reid, J. S., Alfaro-Contreras, R., and Xian, P.: Has China been exporting less particulate air pollution over the past decade?, Geophys. Res. Lett., 44, 2941–2948, https://doi.org/10.1002/2017GL072617, 2017a.
Zhang, K., Wan, H., Liu, X., Ghan, S. J., Kooperman, G. J., Ma, P.-L., Rasch, P. J., Neubauer, D., and Lohmann, U.: Technical Note: On the use of nudging for aerosol–climate model intercomparison studies, Atmos. Chem. Phys., 14, 8631–8645, https://doi.org/10.5194/acp-14-8631-2014, 2014.
Zhang, Q., Zheng, Y., Tong, D., Shao, M., Wang, S., Zhang, Y., Xu, X., Wang, J., He, H., Liu, W., Ding, Y., Lei, Y., Li, J., Wang, Z., Zhang, X., Wang, Y., Cheng, J., Liu, Y., Shi, Q., Yan, L., Geng, G., Hong, C., Li, M., Liu, F., Zheng, B., Cao, J., Ding, A., Gao, J., Fu, Q., Huo, J., Liu, B., Liu, Z., Yang, F., He, K., and Hao, J.: Drivers of improved PM2.5 air quality in China from 2013 to 2017, P. Natl. Acad. Sci. USA, 116, 24463–24469, https://doi.org/10.1073/pnas.1907956116, 2019b.
Zhang, X., Zhang, Q., Hong, C., Zheng, Y., Geng, G., Tong, D., Zhang, Y., and Zhang, X.: Enhancement of PM2.5 Concentrations by Aerosol-Meteorology Interactions Over China, J. Geophys. Res.-Atmos., 123, 1179–1194, https://doi.org/10.1002/2017JD027524, 2018.
Zhang, X., Xu, X., Ding, Y., Liu, Y., Zhang, H., Wang, Y., and Zhong, J.: The impact of meteorological changes from 2013 to 2017 on PM2.5 mass reduction in key regions in China, Sci. China Earth Sci., 62, 1885–1902, https://doi.org/10.1007/s11430-019-9343-3, 2019c.
Zhang, X. Y., Wang, J. Z., Wang, Y. Q., Liu, H. L., Sun, J. Y., and Zhang, Y. M.: Changes in chemical components of aerosol particles in different haze regions in China from 2006 to 2013 and contribution of meteorological factors, Atmos. Chem. Phys., 15, 12935–12952, https://doi.org/10.5194/acp-15-12935-2015, 2015.
Zhang, Y., Li, Z., Zhang, Y., Li, D., Qie, L., Che, H., and Xu, H.: Estimation of aerosol complex refractive indices for both fine and coarse modes simultaneously based on AERONET remote sensing products, Atmos. Meas. Tech., 10, 3203–3213, https://doi.org/10.5194/amt-10-3203-2017, 2017b.
Zhang, Z., Engling, G., Lin, C.-Y., Chou, C. C. K., Lung, S.-C. C., Chang, S.-Y., Fan, S., Chan, C.-Y., and Zhang, Y.-H.: Chemical speciation, transport and contribution of biomass burning smoke to ambient aerosol in Guangzhou, a mega city of China, Atmos. Environ., 44, 3187–3195, https://doi.org/10.1016/j.atmosenv.2010.05.024, 2010.
Zhao, B., Jiang, J. H., Gu, Y., Diner, D., Worden, J., Liou, K.-N., Su, H., Xing, J., Garay, M., and Huang, L.: Decadal-scale trends in regional aerosol particle properties and their linkage to emission changes, Environ. Res. Lett., 12, 054021, https://doi.org/10.1088/1748-9326/aa6cb2, 2017.
Zhao, Y., Huang, Y., Xie, F., Huang, X., and Yang, Y.: The effect of recent controls on emissions and aerosol pollution at city scale: A case study for Nanjing, China, Atmos. Environ., 246, 118080, https://doi.org/10.1016/j.atmosenv.2020.118080, 2021.
Zheng, Y., Xue, T., Zhang, Q., Geng, G., Tong, D., Li, X., and He, K.: Air quality improvements and health benefits from China's clean air action since 2013, Environ. Res. Lett., 12, 114020, https://doi.org/10.1088/1748-9326/aa8a32, 2017.
Zhong, Q., Tao, S., Ma, J., Liu, J., Shen, H., Shen, G., Guan, D., Yun, X., Meng, W., Yu, X., Cheng, H., Zhu, D., Wan, Y., and Hu, J.: PM2.5 reductions in Chinese cities from 2013 to 2019 remain significant despite the inflating effects of meteorological conditions, One Earth, 4, 448–458, https://doi.org/10.1016/j.oneear.2021.02.003, 2021.
Short summary
This study describes the analysis of time series of the MODIS-derived aerosol optical depth (AOD) over China between 2010 and 2024. Emission reduction policies were effective with respect to reducing the AOD until 2018. Thereafter, the overall reduction until the end of the study was very small due to unfavorable meteorological factors cancelling favorable anthropogenic effects and resulting in an AOD increase during extended periods. The variations over different areas in China are discussed.
This study describes the analysis of time series of the MODIS-derived aerosol optical depth...
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