Articles | Volume 16, issue 16
Atmos. Chem. Phys., 16, 10707–10724, 2016
https://doi.org/10.5194/acp-16-10707-2016
Atmos. Chem. Phys., 16, 10707–10724, 2016
https://doi.org/10.5194/acp-16-10707-2016

Research article 30 Aug 2016

Research article | 30 Aug 2016

Simulations of sulfate–nitrate–ammonium (SNA) aerosols during the extreme haze events over northern China in October 2014

Dan Chen et al.

Related authors

Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM v1.0 with a sub-grid parameterization
Ying Wei, Xueshun Chen, Huansheng Chen, Yele Sun, Wenyi Yang, Huiyun Du, Qizhong Wu, Dan Chen, Xiujuan Zhao, Jie Li, and Zifa Wang
Geosci. Model Dev., 14, 4411–4428, https://doi.org/10.5194/gmd-14-4411-2021,https://doi.org/10.5194/gmd-14-4411-2021, 2021
Short summary
Impacts of aerosol–radiation interaction on meteorological forecasts over northern China by offline coupling of the WRF-Chem-simulated aerosol optical depth into WRF: a case study during a heavy pollution event
Yang Yang, Min Chen, Xiujuan Zhao, Dan Chen, Shuiyong Fan, Jianping Guo, and Shaukat Ali
Atmos. Chem. Phys., 20, 12527–12547, https://doi.org/10.5194/acp-20-12527-2020,https://doi.org/10.5194/acp-20-12527-2020, 2020
Short summary
Development and application of the WRFDA-Chem three-dimensional variational (3DVAR) system: aiming to improve air quality forecasting and diagnose model deficiencies
Wei Sun, Zhiquan Liu, Dan Chen, Pusheng Zhao, and Min Chen
Atmos. Chem. Phys., 20, 9311–9329, https://doi.org/10.5194/acp-20-9311-2020,https://doi.org/10.5194/acp-20-9311-2020, 2020
Short summary
The 2015 and 2016 wintertime air pollution in China: SO2 emission changes derived from a WRF-Chem/EnKF coupled data assimilation system
Dan Chen, Zhiquan Liu, Junmei Ban, and Min Chen
Atmos. Chem. Phys., 19, 8619–8650, https://doi.org/10.5194/acp-19-8619-2019,https://doi.org/10.5194/acp-19-8619-2019, 2019
Short summary
Retrospective analysis of 2015–2017 wintertime PM2.5 in China: response to emission regulations and the role of meteorology
Dan Chen, Zhiquan Liu, Junmei Ban, Pusheng Zhao, and Min Chen
Atmos. Chem. Phys., 19, 7409–7427, https://doi.org/10.5194/acp-19-7409-2019,https://doi.org/10.5194/acp-19-7409-2019, 2019
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
A comprehensive observation-based multiphase chemical model analysis of sulfur dioxide oxidations in both summer and winter
Huan Song, Keding Lu, Can Ye, Huabin Dong, Shule Li, Shiyi Chen, Zhijun Wu, Mei Zheng, Limin Zeng, Min Hu, and Yuanhang Zhang
Atmos. Chem. Phys., 21, 13713–13727, https://doi.org/10.5194/acp-21-13713-2021,https://doi.org/10.5194/acp-21-13713-2021, 2021
Short summary
Predicting gas–particle partitioning coefficients of atmospheric molecules with machine learning
Emma Lumiaro, Milica Todorović, Theo Kurten, Hanna Vehkamäki, and Patrick Rinke
Atmos. Chem. Phys., 21, 13227–13246, https://doi.org/10.5194/acp-21-13227-2021,https://doi.org/10.5194/acp-21-13227-2021, 2021
Short summary
Development of a new emission reallocation method for industrial sources in China
Yun Fat Lam, Chi Chiu Cheung, Xuguo Zhang, Joshua S. Fu, and Jimmy Chi Hung Fung
Atmos. Chem. Phys., 21, 12895–12908, https://doi.org/10.5194/acp-21-12895-2021,https://doi.org/10.5194/acp-21-12895-2021, 2021
Short summary
Projections of shipping emissions and the related impact on air pollution and human health in the Nordic region
Camilla Geels, Morten Winther, Camilla Andersson, Jukka-Pekka Jalkanen, Jørgen Brandt, Lise M. Frohn, Ulas Im, Wing Leung, and Jesper H. Christensen
Atmos. Chem. Phys., 21, 12495–12519, https://doi.org/10.5194/acp-21-12495-2021,https://doi.org/10.5194/acp-21-12495-2021, 2021
Short summary
A predictive model for salt nanoparticle formation using heterodimer stability calculations
Sabrina Chee, Kelley Barsanti, James N. Smith, and Nanna Myllys
Atmos. Chem. Phys., 21, 11637–11654, https://doi.org/10.5194/acp-21-11637-2021,https://doi.org/10.5194/acp-21-11637-2021, 2021
Short summary

Cited articles

Archer-Nicholls, S., Lowe, D., Utembe, S., Allan, J., Zaveri, R. A., Fast, J. D., Hodnebrog, Ø., Denier van der Gon, H., and McFiggans, G.: Gaseous chemistry and aerosol mechanism developments for version 3.5.1 of the online regional model, WRF-Chem, Geosci. Model Dev., 7, 2557–2579, https://doi.org/10.5194/gmd-7-2557-2014, 2014.
Chen, F. and Dudhia, J.: Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity, Mon. Weather Rev., 129, 569–585, https://doi.org/10.1175/1520-0493(2001)129<0569:Caalsh>2.0.Co;2, 2001.
Chen, H. S., Li, J., Ge, B. Z., Yang, W. Y., Wang, Z. F., Huang, S., Wang, Y. L., Yan, P. Z., Li, J. J., and Zhu, L. L.: Modeling study of source contributions and emergency control effects during a severe haze episode over the Beijing-Tianjin-Hebei area, Sci. China Chem., 58, 1403–1415, https://doi.org/10.1007/s11426-015-5458-y, 2015.
Chou, M.-D. and Suarez, M. J.: An efficient thermal infrared radiation parameterization for use in general circulation models, NASA Tech. Memo., TM 104606, vol. 3, 25 pp., NASA Goddard Space Flight Cent., Greenbelt, MD, USA, 1994.
Cui, Y., Lin, J., Song, C., Liu, M., Yan, Y., Xu, Y., and Huang, B.: Rapid growth in nitrogen dioxide pollution over Western China, 2005–2013, Atmos. Chem. Phys., 16, 6207–6221, https://doi.org/10.5194/acp-16-6207-2016, 2016.
Download
Short summary
Extreme haze events occurred frequently over China recently, and adequately predicting peak PM2.5 concentrations is still challenging. In this study, the sulfate–nitrate–ammonium relevant heterogeneous reactions were parameterized for the first time in the WRF-Chem model. We evaluated the performance of WRF-Chem and used the model to investigate the sensitivity of heterogeneous reactions on simulated peak sulfate, nitrate, and ammonium concentrations in the vicinity of Beijing during October 2014.
Altmetrics
Final-revised paper
Preprint