Articles | Volume 20, issue 23
https://doi.org/10.5194/acp-20-14787-2020
© Author(s) 2020. 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-20-14787-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Dec 2020
Research article |
| 02 Dec 2020
| 02 Dec 2020
Significant wintertime PM2.5 mitigation in the Yangtze River Delta, China, from 2016 to 2019: observational constraints on anthropogenic emission controls
Liqiang Wang
Research Center for Air Pollution and Health, Key Laboratory of
Environmental Remediation and Ecological Health, Ministry of Education,
College of Environment and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China
Research Center for Air Pollution and Health, Key Laboratory of
Environmental Remediation and Ecological Health, Ministry of Education,
College of Environment and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China
Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
Pengfei Li
CORRESPONDING AUTHOR
College of Science and Technology, Hebei Agricultural University,
Baoding, Hebei 071000, P.R. China
Research Center for Air Pollution and Health, Key Laboratory of
Environmental Remediation and Ecological Health, Ministry of Education,
College of Environment and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China
Xue Chen
Research Center for Air Pollution and Health, Key Laboratory of
Environmental Remediation and Ecological Health, Ministry of Education,
College of Environment and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China
Zhen Li
Research Center for Air Pollution and Health, Key Laboratory of
Environmental Remediation and Ecological Health, Ministry of Education,
College of Environment and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China
Yibo Zhang
Research Center for Air Pollution and Health, Key Laboratory of
Environmental Remediation and Ecological Health, Ministry of Education,
College of Environment and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China
Mengying Li
Research Center for Air Pollution and Health, Key Laboratory of
Environmental Remediation and Ecological Health, Ministry of Education,
College of Environment and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China
Khalid Mehmood
Research Center for Air Pollution and Health, Key Laboratory of
Environmental Remediation and Ecological Health, Ministry of Education,
College of Environment and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China
Weiping Liu
Research Center for Air Pollution and Health, Key Laboratory of
Environmental Remediation and Ecological Health, Ministry of Education,
College of Environment and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P.R. China
Tianfeng Chai
Air Resources Laboratory, NOAA, Cooperative Institute for Satellite
Earth System Studies (CISESS), University of Maryland, College Park, USA
Yannian Zhu
Meteorological Institute of Shananxi Province, 36 Beiguanzhengjie,
Xi'an 710015, China
Daniel Rosenfeld
Institute of Earth Science, The Hebrew University of Jerusalem,
Jerusalem, Israel
John H. Seinfeld
Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
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Ramon Campos Braga, Barbara Ervens, Daniel Rosenfeld, Meinrat O. Andreae, Jan-David Förster, Daniel Fütterer, Lianet Hernández Pardo, Bruna A. Holanda, Tina Jurkat-Witschas, Ovid O. Krüger, Oliver Lauer, Luiz A. T. Machado, Christopher Pöhlker, Daniel Sauer, Christiane Voigt, Adrian Walser, Manfred Wendisch, Ulrich Pöschl, and Mira L. Pöhlker
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Kai Wang, Yang Zhang, Shaocai Yu, David C. Wong, Jonathan Pleim, Rohit Mathur, James T. Kelly, and Michelle Bell
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Linhui Jiang, Yan Xia, Lu Wang, Xue Chen, Jianjie Ye, Tangyan Hou, Liqiang Wang, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Yaping Jiang, Weiping Liu, Pengfei Li, Daniel Rosenfeld, John H. Seinfeld, and Shaocai Yu
Atmos. Chem. Phys., 21, 16985–17002, https://doi.org/10.5194/acp-21-16985-2021, https://doi.org/10.5194/acp-21-16985-2021, 2021
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Siqi Ma, Daniel Tong, Lok Lamsal, Julian Wang, Xuelei Zhang, Youhua Tang, Rick Saylor, Tianfeng Chai, Pius Lee, Patrick Campbell, Barry Baker, Shobha Kondragunta, Laura Judd, Timothy A. Berkoff, Scott J. Janz, and Ivanka Stajner
Atmos. Chem. Phys., 21, 16531–16553, https://doi.org/10.5194/acp-21-16531-2021, https://doi.org/10.5194/acp-21-16531-2021, 2021
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Ramon Campos Braga, Daniel Rosenfeld, Ovid O. Krüger, Barbara Ervens, Bruna A. Holanda, Manfred Wendisch, Trismono Krisna, Ulrich Pöschl, Meinrat O. Andreae, Christiane Voigt, and Mira L. Pöhlker
Atmos. Chem. Phys., 21, 14079–14088, https://doi.org/10.5194/acp-21-14079-2021, https://doi.org/10.5194/acp-21-14079-2021, 2021
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Quantifying the precipitation within clouds is crucial for our understanding of the Earth's hydrological cycle. Using in situ measurements of cloud and rain properties over the Amazon Basin and Atlantic Ocean, we show here a linear relationship between the effective radius (re) and precipitation water content near the tops of convective clouds for different pollution states and temperature levels. Our results emphasize the role of re to determine both initiation and amount of precipitation.
Xin Lu, Feiyue Mao, Daniel Rosenfeld, Yannian Zhu, Zengxin Pan, and Wei Gong
Atmos. Chem. Phys., 21, 11979–12003, https://doi.org/10.5194/acp-21-11979-2021, https://doi.org/10.5194/acp-21-11979-2021, 2021
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In this paper, a novel method for retrieving cloud base height and geometric thickness is developed and applied to produce a global climatology of boundary layer clouds with a high accuracy. The retrieval is based on the 333 m resolution low-level cloud distribution as obtained from the CALIPSO lidar data. The main part of the study describes the variability of cloud vertical geometrical properties in space, season, and time of the day. Resultant new insights are presented.
Weimeng Kong, Stavros Amanatidis, Huajun Mai, Changhyuk Kim, Benjamin C. Schulze, Yuanlong Huang, Gregory S. Lewis, Susanne V. Hering, John H. Seinfeld, and Richard C. Flagan
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Stavros Amanatidis, Yuanlong Huang, Buddhi Pushpawela, Benjamin C. Schulze, Christopher M. Kenseth, Ryan X. Ward, John H. Seinfeld, Susanne V. Hering, and Richard C. Flagan
Atmos. Meas. Tech., 14, 4507–4516, https://doi.org/10.5194/amt-14-4507-2021, https://doi.org/10.5194/amt-14-4507-2021, 2021
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We assess the performance of a highly portable mobility analyzer, the Spider DMA, in measuring ambient aerosol particle size distributions, with specific attention to its moderate sizing resolution (R=3). Long-term field testing showed excellent correlation with a conventional mobility analyzer (R=10) over the 17–500 nm range, suggesting that moderate resolution may be sufficient to obtain key properties of ambient size distributions, enabling smaller instruments and better counting statistics.
Tianmeng Chen, Zhanqing Li, Ralph A. Kahn, Chuanfeng Zhao, Daniel Rosenfeld, Jianping Guo, Wenchao Han, and Dandan Chen
Atmos. Chem. Phys., 21, 6199–6220, https://doi.org/10.5194/acp-21-6199-2021, https://doi.org/10.5194/acp-21-6199-2021, 2021
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A convective cloud identification process is developed using geostationary satellite data from Himawari-8.
Convective cloud fraction is generally larger before noon and smaller in the afternoon under polluted conditions, but megacities and complex topography can influence the pattern.
A robust relationship between convective cloud and aerosol loading is found. This pattern varies with terrain height and is modulated by varying thermodynamic, dynamical, and humidity conditions during the day.
Yuwei Zhang, Jiwen Fan, Zhanqing Li, and Daniel Rosenfeld
Atmos. Chem. Phys., 21, 2363–2381, https://doi.org/10.5194/acp-21-2363-2021, https://doi.org/10.5194/acp-21-2363-2021, 2021
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Impacts of anthropogenic aerosols on deep convective clouds (DCCs) and precipitation are examined using both the Morrison bulk and spectral bin microphysics (SBM) schemes. With the SBM scheme, anthropogenic aerosols notably invigorate convective intensity and precipitation, causing better agreement between the simulated DCCs and observations; this effect is absent with the Morrison scheme, mainly due to limitations of the saturation adjustment approach for droplet condensation and evaporation.
Yilin Chen, Huizhong Shen, Jennifer Kaiser, Yongtao Hu, Shannon L. Capps, Shunliu Zhao, Amir Hakami, Jhih-Shyang Shih, Gertrude K. Pavur, Matthew D. Turner, Daven K. Henze, Jaroslav Resler, Athanasios Nenes, Sergey L. Napelenok, Jesse O. Bash, Kathleen M. Fahey, Gregory R. Carmichael, Tianfeng Chai, Lieven Clarisse, Pierre-François Coheur, Martin Van Damme, and Armistead G. Russell
Atmos. Chem. Phys., 21, 2067–2082, https://doi.org/10.5194/acp-21-2067-2021, https://doi.org/10.5194/acp-21-2067-2021, 2021
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Ammonia (NH3) emissions can exert adverse impacts on air quality and ecosystem well-being. NH3 emission inventories are viewed as highly uncertain. Here we optimize the NH3 emission estimates in the US using an air quality model and NH3 measurements from the IASI satellite instruments. The optimized NH3 emissions are much higher than the National Emissions Inventory estimates in April. The optimized NH3 emissions improved model performance when evaluated against independent observation.
Johannes Quaas, Antti Arola, Brian Cairns, Matthew Christensen, Hartwig Deneke, Annica M. L. Ekman, Graham Feingold, Ann Fridlind, Edward Gryspeerdt, Otto Hasekamp, Zhanqing Li, Antti Lipponen, Po-Lun Ma, Johannes Mülmenstädt, Athanasios Nenes, Joyce E. Penner, Daniel Rosenfeld, Roland Schrödner, Kenneth Sinclair, Odran Sourdeval, Philip Stier, Matthias Tesche, Bastiaan van Diedenhoven, and Manfred Wendisch
Atmos. Chem. Phys., 20, 15079–15099, https://doi.org/10.5194/acp-20-15079-2020, https://doi.org/10.5194/acp-20-15079-2020, 2020
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Anthropogenic pollution particles – aerosols – serve as cloud condensation nuclei and thus increase cloud droplet concentration and the clouds' reflection of sunlight (a cooling effect on climate). This Twomey effect is poorly constrained by models and requires satellite data for better quantification. The review summarizes the challenges in properly doing so and outlines avenues for progress towards a better use of aerosol retrievals and better retrievals of droplet concentrations.
Brigitte Rooney, Yuan Wang, Jonathan H. Jiang, Bin Zhao, Zhao-Cheng Zeng, and John H. Seinfeld
Atmos. Chem. Phys., 20, 14597–14616, https://doi.org/10.5194/acp-20-14597-2020, https://doi.org/10.5194/acp-20-14597-2020, 2020
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Wildfires have become increasingly prevalent. Intense smoke consisting of particulate matter (PM) leads to an increased risk of morbidity and mortality. The record-breaking Camp Fire ravaged Northern California for two weeks in 2018. Here, we employ a comprehensive chemical transport model along with ground-based and satellite observations to characterize the PM concentrations across Northern California and to investigate the pollution sensitivity predictions to key parameters of the model.
Cited articles
Adhikary, B., Kulkarni, S., Dallura, A., Tang, Y., Chai, T., Leung, L. R.,
Qian, Y., Chung, C. E., Ramanathan, V., and Carmichael, G. R.: A regional
scale chemical transport modeling of Asian aerosols with data assimilation
of AOD observations using optimal interpolation technique, Atmos. Environ.,
42, 8600–8615, 2008.
An, Z., Huang, R.-J., Zhang, R., Tie, X., Li, G., Cao, J., Zhou, W., Shi, Z., Han, Y., Gu, Z., and Ji, Y.: Severe haze in Northern China: A synergy of
anthropogenic emissions and atmospheric processes, P. Natl. Acad. Sci. USA,
116, 8657–8666, 2019.
Binkowski, F. S. and Roselle, S. J.: Models-3 Community Multiscale Air
Quality (CMAQ) model aerosol component 1. Model description, J. Geophys.
Res.-Atmos., 108, 335–346, 2003.
Bocquet, M., Elbern, H., Eskes, H., Hirtl, M., Žabkar, R., Carmichael, G. R., Flemming, J., Inness, A., Pagowski, M., Pérez Camaño, J. L., Saide, P. E., San Jose, R., Sofiev, M., Vira, J., Baklanov, A., Carnevale, C., Grell, G., and Seigneur, C.: Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models, Atmos. Chem. Phys., 15, 5325–5358, https://doi.org/10.5194/acp-15-5325-2015, 2015.
Byun, D. and Schere, K. L.: Review of the governing equations, computational
algorithms, and other components of the Models-3 Community Multiscale Air
Quality (CMAQ) modeling system, Appl. Mech. Rev., 59, 51–77, 2006.
Carlton, A. G. and Baker, K. R.: Photochemical modeling of the Ozark
isoprene volcano: MEGAN, BEIS, and their impacts on air quality predictions,
Environ. Sci. Technol., 45, 4438–4445, 2011.
Carlton, A. G., Bhave, P. V, Napelenok, S. L., Edney, E. O., Sarwar, G.,
Pinder, R. W., Pouliot, G. A., and Houyoux, M.: Model representation of
secondary organic aerosol in CMAQv4. 7, Environ. Sci. Technol., 44,
8553–8560, 2010.
Chai, T., Kim, H.-C., Pan, L., Lee, P., and Tong, D.: Impact of Moderate
Resolution Imaging Spectroradiometer Aerosol Optical Depth and AirNow PM2.5
assimilation on Community Multi-scale Air Quality aerosol predictions over
the contiguous United States, J. Geophys. Res.-Atmos., 122, 5399–5415,
2017.
Chen, D., Liu, Z., Ban, J., Zhao, P., and Chen, M.: Retrospective analysis of 2015–2017 wintertime PM2.5 in China: response to emission regulations and the role of meteorology, Atmos. Chem. Phys., 19, 7409–7427, https://doi.org/10.5194/acp-19-7409-2019, 2019.
Cheng, J., Su, J., Cui, T., Li, X., Dong, X., Sun, F., Yang, Y., Tong, D., Zheng, Y., Li, Y., Li, J., Zhang, Q., and He, K.: Dominant role of emission reduction in PM2.5 air quality improvement in Beijing during 2013–2017: a model-based decomposition analysis, Atmos. Chem. Phys., 19, 6125–6146, https://doi.org/10.5194/acp-19-6125-2019, 2019.
Choi, Y.-J. and Fernando, H. J. S.: Implementation of a windblown dust
parameterization into MODELS-3/CMAQ: Application to episodic PM events in
the US/Mexico border, Atmos. Environ., 42, 6039–6046, 2008.
Clough, S. A., Shephard, M. W., Mlawer, E. J., Delamere, J. S., Iacono, M.
J., Cady-Pereira, K., Boukabara, S., and Brown, P. D.: Atmospheric radiative
transfer modeling: a summary of the AER codes, J. Quant. Spectrosc. Ra., 91, 233–244, 2005.
Feng, L. and Liao, W.: Legislation, plans, and policies for prevention and
control of air pollution in China: achievements, challenges, and
improvements, J. Clean. Prod., 112, 1549–1558, 2016.
Fountoukis, C. and Nenes, A.: ISORROPIA II: a computationally efficient
thermodynamic equilibrium model for
K+–Ca2+–Mg2+–
Gao, M., Saide, P. E., Xin, J., Wang, Y., Liu, Z., Wang, Y., Wang, Z.,
Pagowski, M., Guttikunda, S. K., and Carmichael, G. R.: Estimates of health
impacts and radiative forcing in winter haze in eastern China through
constraints of surface PM2.5 predictions, Environ. Sci. Technol., 51,
2178–2185, 2017.
Geng, G., Zhang, Q., Martin, R. V., Lin, J., Huo, H., Zheng, B., Wang, S., and He, K.: Impact of spatial proxies on the representation of bottom-up emission inventories: A satellite-based analysis, Atmos. Chem. Phys., 17, 4131–4145, https://doi.org/10.5194/acp-17-4131-2017, 2017.
Hollingsworth, A. and Lönnberg, P.: The statistical structure of
short-range forecast errors as determined from radiosonde data. Part I: The
wind field, Tellus A, 38, 111–136, 1986.
Huang, R.-J., Zhang, Y., Bozzetti, C., Ho, K.-F., Cao, J.-J., Han, Y., Daellenbach, K. R., Slowik, J. G., Platt, S. M., Canonaco, F., Zotter, P., Wolf, R., Pieber, S. M., Bruns, E. A., Crippa, M.,Ciarelli, G., Piazzalunga, A., Schwikowski, M., Abbaszade, G.,SchnelleKreis, J., Zimmermann, R., An, Z., Szidat, S., Baltensperger, U., Haddad, I. E., and Prévôt, A. S. H.:
High secondary aerosol contribution to particulate pollution during haze
events in China, Nature, 514, 218–222, 2014.
Ji, Y., Qin, X., Wang, B., Xu, J., Shen, J., Chen, J., Huang, K., Deng, C., Yan, R., Xu, K., and Zhang, T.: Counteractive effects of regional transport and emission control on the formation of fine particles: a case study during the Hangzhou G20 summit, Atmos. Chem. Phys., 18, 13581–13600, https://doi.org/10.5194/acp-18-13581-2018, 2018.
Jiang, Z., McDonald, B. C., Worden, H., Worden, J. R., Miyazaki,
K., Qu, Z., Henze, D. K., Jones, D. B. A., Arellano, A. F., Fischer, E. V., Zhu, L., and Boersma K. F.:
Unexpected slowdown of US pollutant emission reduction in the past decade,
P. Natl. Acad. Sci. USA, 115, 5099–5104, 2018.
Jung, J., Souri, A. H., Wong, D. C., Lee, S., Jeon, W., Kim, J., and Choi,
Y.: The Impact of the Direct Effect of Aerosols on Meteorology and Air
Quality Using Aerosol Optical Depth Assimilation During the KORUS-AQ
Campaign, J. Geophys. Res.-Atmos., 124, 8303–8319, 2019.
Kain, J. S.: The Kain-Fritsch convective parameterization: an update, J.
Appl. Meteorol., 43, 170–181, 2004.
Kumar, U., De Ridder, K., Lefebvre, W., and Janssen, S.: Data assimilation of
surface air pollutants (O3 and NO2) in the regional-scale air quality model
AURORA, Atmos. Environ., 60, 99–108,
https://doi.org/10.1016/j.atmosenv.2012.06.005, 2012.
Li, B., Wang, F., Yin, H., and Li, X.: Mega events and urban air quality
improvement: A temporary show?, J. Clean. Prod., 217, 116–126, 2019.
Li, G., Bei, N., Cao, J., Huang, R., Wu, J., Feng, T., Wang, Y., Liu, S., Zhang, Q., Tie, X., and Molina, L. T.: A possible pathway for rapid growth of sulfate during haze days in China, Atmos. Chem. Phys., 17, 3301–3316, https://doi.org/10.5194/acp-17-3301-2017, 2017.
Li, H., Wang, D., Cui, L., Gao, Y., Huo, J., Wang, X., Zhang, Z., Tan, Y., Huang, Y., Cao, J., Chow, J. C., Lee, S., and Fu, Q.: Characteristics of atmospheric PM2.5
composition during the implementation of stringent pollution control
measures in shanghai for the 2016 G20 summit, Sci. Total Environ., 648,
1121–1129, 2019.
Li, K., Jacob, D. J., Liao, H., Zhu, J., Shah, V., Shen, L., Bates, K. H.,
Zhang, Q., and Zhai, S.: A two-pollutant strategy for improving ozone and
particulate air quality in China, Nat. Geosci., 12, 906–910, 2019.
Li, M., Zhang, Q., Kurokawa, J.-I., Woo, J.-H., He, K., Lu, Z., Ohara, T., Song, Y., Streets, D. G., Carmichael, G. R., Cheng, Y., Hong, C., Huo, H., Jiang, X., Kang, S., Liu, F., Su, H., and Zheng, B.: MIX: a mosaic Asian anthropogenic emission inventory under the international collaboration framework of the MICS-Asia and HTAP, Atmos. Chem. Phys., 17, 935–963, https://doi.org/10.5194/acp-17-935-2017, 2017.
Li, P., Wang, L., Guo, P., Yu, S., Mehmood, K., Wang, S., Liu, W., Seinfeld, J. H., Zhang, Y., Wong, D. C., Alapaty, K., Pleim, J., and Mathur, R.: High reduction of ozone and
particulate matter during the 2016 G-20 summit in Hangzhou by forced
emission controls of industry and traffic, Environ. Chem. Lett., 15,
709–715, 2017.
Li, X., Choi, Y., Czader, B., Roy, A., Kim, H., Lefer, B., and Pan, S.: The impact of observation nudging on simulated meteorology and ozone concentrations during DISCOVER-AQ 2013 Texas campaign, Atmos. Chem. Phys., 16, 3127–3144, https://doi.org/10.5194/acp-16-3127-2016, 2016.
Liu, H., Liu, C., Xie, Z., Li, Y., Huang, X., Wang, S., Xu, J., and Xie, P.:
A paradox for air pollution controlling in China revealed by “APEC Blue”
and “Parade Blue,” Sci. Rep., 6, 1–13, 2016.
Ma, C., Wang, T., Mizzi, A. P., Anderson, J. L., Zhuang, B., Xie, M., and Wu,
R.: Multi-constituent data assimilation with WRF-Chem/DART: Potential for
adjusting anthropogenic emissions and improving air quality forecasts over
eastern China, J. Geophys. Res.-Atmos., 124, 7393–7412, https://doi.org/10.1029/2019JD030421, 2019.
Ma, Z., Hu, X., Huang, L., Bi, J., and Liu, Y.: Estimating ground-level PM2.5 in China using satellite remote sensing, Environ. Sci. Technol., 48, 7436–7444, 2014.
Ma, Z., Hu, X., Sayer, A. M., Levy, R., Zhang, Q., Xue, Y., Tong, S., Bi,
J., Huang, L., and Liu, Y.: Satellite-based spatiotemporal trends in PM2.5
concentrations: China, 2004–2013, Environ. Health Perspect., 124,
184–192, 2015.
Morrison, H. and Gettelman, A.: A new two-moment bulk stratiform cloud
microphysics scheme in the Community Atmosphere Model, version 3 (CAM3).
Part I: Description and numerical tests, J. Climate, 21, 3642–3659, 2008.
Mu, Q. and Liao, H.: Simulation of the interannual variations of aerosols in China: role of variations in meteorological parameters, Atmos. Chem. Phys., 14, 9597–9612, https://doi.org/10.5194/acp-14-9597-2014, 2014.
Ni, Z.-Z., Luo, K., Gao, Y., Gao, X., Jiang, F., Huang, C., Fan, J.-R., Fu, J. S., and Chen, C.-H.: Spatial–temporal variations and process analysis of O3 pollution in Hangzhou during the G20 summit, Atmos. Chem. Phys., 20, 5963–5976, https://doi.org/10.5194/acp-20-5963-2020, 2020.
Pleim, J. E.: A combined local and nonlocal closure model for the
atmospheric boundary layer. Part I: Model description and testing, J. Appl.
Meteorol. Clim., 46, 1383–1395, 2007a.
Pleim, J. E.: A combined local and nonlocal closure model for the
atmospheric boundary layer. Part II: Application and evaluation in a
mesoscale meteorological model, J. Appl. Meteorol. Clim., 46,
1396–1409, 2007b.
Rutherford, I. D.: Data assimilation by statistical interpolation of
forecast error fields, J. Atmos. Sci., 29, 809–815, 1972.
Seinfeld, J. H. and Pandis, S. N.: Atmospheric chemistry and physics: from
air pollution to climate change, John Wiley & Sons, Hoboken, NJ, USA, 1–1326, ISBN 978-1-118-94740-1, 2016.
Sheehan, P., Cheng, E., English, A., and Sun, F.: China's response to the air
pollution shock, Nat. Clim. Change, 4, 306–309, 2014.
Shi, H., Wang, Y., Chen, J., and Huisingh, D.: Preventing smog crises in
China and globally, J. Clean. Prod., 112, 1261–1271, 2016.
Shu, L., Wang, T., Han, H., Xie, M., Chen, P., Li, M., and Wu, H.: Summertime
ozone pollution in the Yangtze River Delta of eastern China during
2013–2017: Synoptic impacts and source apportionment, Environ. Pollut.,
257, 113631, https://doi.org/10.1016/j.envpol.2019.113631, 2020.
Sun, Y., Wang, Z., Wild, O., Xu , W., Chen, C., Fu, P., Du, W., Zhou, L., Zhang, Q., Han, T., Wang, Q., Pan, X., Zheng, H., Li, J., Guo, X., Liu, J., and Worsnop, D. R.: “APEC blue”: secondary aerosol reductions
from emission controls in Beijing, Sci. Rep., 6, 20668, https://doi.org/10.1038/srep20668, 2016.
Tai, A. P. K., Mickley, L. J., and Jacob, D. J.: Impact of 2000–2050 climate change on fine particulate matter (PM2.5) air quality inferred from a multi-model analysis of meteorological modes, Atmos. Chem. Phys., 12, 11329–11337, https://doi.org/10.5194/acp-12-11329-2012, 2012.
Wang, P., Guo, H., Hu, J., Kota, S. H., Ying, Q., and Zhang, H.: Responses of
PM2.5 and O3 concentrations to changes of meteorology and emissions in China, Sci. Total Environ., 662, 297–306, 2019.
Wang, Y., Zhang, Q., Jiang, J., Zhou, W., Wang, B., He, K., Duan, F., Zhang,
Q., Philip, S., and Xie, Y.: Enhanced sulfate formation during China's severe
winter haze episode in January 2013 missing from current models, J. Geophys.
Res.-Atmos., 119, 10425–10440, https://doi.org/10.1002/2013JD021426, 2014.
Wong, D. C., Pleim, J., Mathur, R., Binkowski, F., Otte, T., Gilliam, R., Pouliot, G., Xiu, A., Young, J. O., and Kang, D.: WRF-CMAQ two-way coupled system with aerosol feedback: software development and preliminary results, Geosci. Model Dev., 5, 299–312, https://doi.org/10.5194/gmd-5-299-2012, 2012.
Xie, H., Wang, L., Ling, X., Miao, Y., Shen, X., Wang, M., and Xin, Y.: China
air quality management assessment report (2016), Clean Air Asia, available at: https://environmental-partnership.org/wp-content/uploads/2015/09/China_Air_Quality_Management_Assessment_Report.pdf (last access: 1 December 2020), 2015.
Xiu, A. and Pleim, J. E.: Development of a land surface model. Part I:
Application in a mesoscale meteorological model, J. Appl. Meteorol., 40,
192–209, 2001.
Xue, T., Zheng, Y., Tong, D., Zheng, B., Li, X., Zhu, T., and Zhang, Q.:
Spatiotemporal continuous estimates of PM2.5 concentrations in China,
2000–2016: A machine learning method with inputs from satellites, chemical
transport model, and ground observations, Environ. Int., 123, 345–357,
2019.
Yan, B., Liu, S., Zhao, B., Li, X., Fu, Q., and Jiang, G.: China's fight for clean air and human health, Environ. Sci. Technol., 52, 8063–8064, 2018.
Yang, W., Yuan, G., and Han, J.: Is China's air pollution control policy
effective? Evidence from Yangtze River Delta cities, J. Clean. Prod., 220,
110–133, 2019.
Yang, Y., Liao, H., and Lou, S.: Increase in winter haze over eastern China
in recent decades: Roles of variations in meteorological parameters and
anthropogenic emissions, J. Geophys. Res.-Atmos., 121, 13050–13065,
https://doi.org/10.1002/2016JD025136, 2016.
Yarwood, G., Rao, S., Yocke, M., and Whitten, G. Z.: Updates to the Carbon Bond Chemical Mechanism: CB05, Final Report Prepared for US EPA, 2015, available at: http://www.camx.com/publ/pdfs/CB05_Final_Report_120805.pdf (last access: 1 December 2020), 2005.
Yu, H., Dai, W., Ren, L., Liu, D., Yan, X., Xiao, H., He, J., and Xu, H.: The
effect of emission control on the submicron particulate matter size
distribution in Hangzhou during the 2016 G20 Summit, Aerosol Air Qual. Res.,
18, 2038–2046, 2018.
Yu, S., Mathur, R., Pleim, J., Wong, D., Gilliam, R., Alapaty, K., Zhao, C., and Liu, X.: Aerosol indirect effect on the grid-scale clouds in the two-way coupled WRF–CMAQ: model description, development, evaluation and regional analysis, Atmos. Chem. Phys., 14, 11247–11285, https://doi.org/10.5194/acp-14-11247-2014, 2014.
Zhai, S., Jacob, D. J., Wang, X., Shen, L., Li, K., Zhang, Y., Gui, K., Zhao, T., and Liao, H.: Fine particulate matter (PM2.5) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology, Atmos. Chem. Phys., 19, 11031–11041, https://doi.org/10.5194/acp-19-11031-2019, 2019.
Zhang, L., Shao, J., Lu, X., Zhao, Y., Hu, Y., Henze, D. K., Liao, H., Gong,
S., and Zhang, Q.: Sources and processes affecting fine particulate matter
pollution over North China: an adjoint analysis of the Beijing APEC period,
Environ. Sci. Technol., 50, 8731–8740, 2016.
Zhang, Q., He, K., and Huo, H.: Policy: cleaning China's air, Nature,
484, 161–162, https://doi.org/10.1038/484161a, 2012.
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, 2019.
Zhang, R., Wang, G., Guo, S., Zamora, M. L., Ying, Q., Lin, Y., Wang, W.,
Hu, M., and Wang, Y.: Formation of urban fine particulate matter, Chem. Rev.,
115, 3803–3855, 2015.
Zhang, Y.-L. and Cao, F.: Fine particulate matter (PM2.5) in China at a
city level, Sci. Rep., 5, 14884, https://doi.org/10.1038/srep14884, 2015.
Zhong, Q., Ma, J., Shen, G., Shen, H., Zhu, X., Yun, X., Meng, W., Cheng,
H., Liu, J., Li, B., Wang, X., Zeng, E. Y., Guan, D., and Tao, S.:
Distinguishing Emission-Associated Ambient Air PM2.5 Concentrations and
Meteorological Factor-Induced Fluctuations, Environ. Sci. Technol., 52,
10416–10425, https://doi.org/10.1021/acs.est.8b02685, 2018.
Short summary
The Chinese government has made major strides in curbing anthropogenic emissions. In this study, we constrain a state-of-the-art CTM by a reliable data assimilation method with extensive chemical and meteorological observations. This comprehensive technical design provides a crucial advance in isolating the influences of emission changes and meteorological perturbations over the Yangtze River Delta (YRD) from 2016 to 2019, thus establishing the first map of the PM2.5 mitigation across the YRD.
The Chinese government has made major strides in curbing anthropogenic emissions. In this study,...
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