103 citations as recorded by crossref.

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2. The impact of multi-species surface chemical observation assimilation on air quality forecasts in China Z. Peng et al. 10.5194/acp-18-17387-2018
3. The control of anthropogenic emissions contributed to 80 % of the decrease in PM2.5 concentrations in Beijing from 2013 to 2017 Z. Chen et al. 10.5194/acp-19-13519-2019
4. Air quality and health impacts from the updated industrial emission standards in China H. Yang et al. 10.1088/1748-9326/ab54fa
5. Emission-driven changes in anthropogenic aerosol concentrations in China during 1970–2010 and its implications for PM2.5 control policy W. Chang et al. 10.1016/j.atmosres.2018.05.008
6. Investigating the Transport Mechanism of PM2.5 Pollution during January 2014 in Wuhan, Central China M. Lu et al. 10.1007/s00376-019-8260-5
7. The contribution of the Beijing, Tianjin and Hebei region's iron and steel industry to local air pollution in winter H. Yang et al. 10.1016/j.envpol.2018.11.088
8. Environmental benefits and household costs of clean heating options in northern China M. Zhou et al. 10.1038/s41893-021-00837-w
9. Alternative-energy-vehicles deployment delivers climate, air quality, and health co-benefits when coupled with decarbonizing power generation in China L. Peng et al. 10.1016/j.oneear.2021.07.007
10. Associations between atmospheric PM2.5 exposure and carcinogenic health risks: Surveillance data from the year of lowest recorded levels in Beijing, China Q. Liu et al. 10.1016/j.envpol.2024.124176
11. The 2015 and 2016 wintertime air pollution in China: SO<sub>2</sub> emission changes derived from a WRF-Chem/EnKF coupled data assimilation system D. Chen et al. 10.5194/acp-19-8619-2019
12. Integration of field observation and air quality modeling to characterize Beijing aerosol in different seasons J. Liu et al. 10.1016/j.chemosphere.2019.125195
13. Nonlinear influence of winter meteorology and precursor on PM2.5 based on mathematical and numerical models: A COVID-19 and Winter Olympics case study W. Xiaoqi et al. 10.1016/j.atmosenv.2022.119072
14. Effects of NH3 and alkaline metals on the formation of particulate sulfate and nitrate in wintertime Beijing R. Huang et al. 10.1016/j.scitotenv.2020.137190
15. Insight into winter haze formation mechanisms based on aerosol hygroscopicity and effective density measurements Y. Xie et al. 10.5194/acp-17-7277-2017
16. A three-dimensional variational data assimilation system for aerosol optical properties based on WRF-Chem v4.0: design, development, and application of assimilating Himawari-8 aerosol observations D. Wang et al. 10.5194/gmd-15-1821-2022
17. Parameterization of heterogeneous reaction of SO2 to sulfate on dust with coexistence of NH3 and NO2 under different humidity conditions S. Zhang et al. 10.1016/j.atmosenv.2019.04.004
18. 3DVAR Aerosol Data Assimilation and Evaluation Using Surface PM2.5, Himawari-8 AOD and CALIPSO Profile Observations in the North China Z. Zang et al. 10.3390/rs14164009
19. Exploring the influence of two inventories on simulated air pollutants during winter over the Yangtze River Delta T. Sha et al. 10.1016/j.atmosenv.2019.03.006
20. Important contribution of N2O5 hydrolysis to the daytime nitrate in Xi'an, China during haze periods: Isotopic analysis and WRF-Chem model simulation C. Wu et al. 10.1016/j.envpol.2021.117712
21. Secondary aerosol formation in winter haze over the Beijing-Tianjin-Hebei Region, China D. Shang et al. 10.1007/s11783-020-1326-x
22. Contribution of Particulate Nitrate Photolysis to Heterogeneous Sulfate Formation for Winter Haze in China H. Zheng et al. 10.1021/acs.estlett.0c00368
23. MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia L. Chen et al. 10.5194/acp-19-11911-2019
24. Nitrate aerosol formation and source assessment in winter at different regions in Northeast China Z. Zhao et al. 10.1016/j.atmosenv.2021.118767
25. Simulations of aerosol pH in China using WRF-Chem (v4.0): sensitivities of aerosol pH and its temporal variations during haze episodes X. Ruan et al. 10.5194/gmd-15-6143-2022
26. Radiative Effects of Residential Sector Emissions in China: Sensitivity to Uncertainty in Black Carbon Emissions S. Archer‐Nicholls et al. 10.1029/2018JD030120
27. Evaluation of the ammonia emission sensitivity of secondary inorganic aerosol concentrations measured by the national reference method J. Lim et al. 10.1016/j.atmosenv.2021.118903
28. Multiphase chemistry experiment in Fogs and Aerosols in the North China Plain (McFAN): integrated analysis and intensive winter campaign 2018 G. Li et al. 10.1039/D0FD00099J
29. Retrospective analysis of 2015–2017 wintertime PM<sub>2.5</sub> in China: response to emission regulations and the role of meteorology D. Chen et al. 10.5194/acp-19-7409-2019
30. Seasonal simulation and source apportionment of SO42− with integration of major highlighted chemical pathways in WRF-Chem model in the NCP X. Zhao et al. 10.1016/j.apr.2024.102268
31. Assessing the formation and evolution mechanisms of severe haze pollution in the Beijing–Tianjin–Hebei region using process analysis L. Chen et al. 10.5194/acp-19-10845-2019
32. Summertime Urban Ammonia Emissions May Be Substantially Underestimated in Beijing, China J. Xu et al. 10.1021/acs.est.3c05266
33. WRF-Chem quantification of transport events and emissions sensitivity in Korea during KORUS-AQ B. Tang et al. 10.1525/elementa.2022.00096
34. Improvement of PM2.5 forecast over China by the joint adjustment of initial conditions and emissions with the NLS-4DVar method S. Zhang et al. 10.1016/j.atmosenv.2021.118896
35. Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism Z. Chen et al. 10.1016/j.envint.2020.105558
36. The impact of aerosol–radiation interactions on the effectiveness of emission control measures M. Zhou et al. 10.1088/1748-9326/aaf27d
37. Investigation on the vertical distribution and transportation of PM2.5 in the Beijing-Tianjin-Hebei region based on stereoscopic observation network T. Sun et al. 10.1016/j.atmosenv.2022.119511
38. A three-dimensional variational data assimilation system for a size-resolved aerosol model: Implementation and application for particulate matter and gaseous pollutant forecasts across China D. Wang et al. 10.1007/s11430-019-9601-4
39. Ship emission inventory and its impact on the PM 2.5 air pollution in Qingdao Port, North China D. Chen et al. 10.1016/j.atmosenv.2017.07.021
40. High Concentration of Atmospheric Sub‐3 nm Particles in Polluted Environment of Eastern China: New Particle Formation and Traffic Emission L. Chen et al. 10.1029/2023JD039669
41. Modeling particulate nitrate in China: Current findings and future directions X. Xie et al. 10.1016/j.envint.2022.107369
42. Impacts of Meteorological Conditions, Aerosol Radiative Feedbacks, and Emission Reduction Scenarios on the Coastal Haze Episodes in Southeastern China in December 2013 J. Zhan et al. 10.1175/JAMC-D-16-0229.1
43. Characteristics of PM2.5 and SNA components and meteorological factors impact on air pollution through 2013–2017 in Beijing, China X. Wang et al. 10.1016/j.apr.2019.09.004
44. Optimal reactive nitrogen control pathways identified for cost-effective PM2.5 mitigation in Europe Z. Liu et al. 10.1038/s41467-023-39900-9
45. Improving PM<sub>2. 5</sub> forecast over China by the joint adjustment of initial conditions and source emissions with an ensemble Kalman filter Z. Peng et al. 10.5194/acp-17-4837-2017
46. Impact of CALIPSO profile data assimilation on 3-D aerosol improvement in a size-resolved aerosol model H. Ye et al. 10.1016/j.atmosres.2021.105877
47. The influence of dry deposition on surface ozone simulations under different planetary boundary layer schemes over eastern China D. Li et al. 10.1016/j.atmosenv.2024.120514
48. Emission or atmospheric processes? An attempt to attribute the source of large bias of aerosols in eastern China simulated by global climate models T. Fan et al. 10.5194/acp-18-1395-2018
49. Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem T. Dai et al. 10.5194/acp-21-4357-2021
50. Aerosol chemical component: Simulations with WRF-Chem and comparison with observations in Nanjing T. Sha et al. 10.1016/j.atmosenv.2019.116982
51. Meteorological and chemical causes of heavy pollution in winter in Hohhot, Inner Mongolia Plateau X. Ren et al. 10.1016/j.atmosres.2022.106243
52. Impact of 3DVAR assimilation of surface PM2.5 observations on PM2.5 forecasts over China during wintertime S. Feng et al. 10.1016/j.atmosenv.2018.05.049
53. Assimilating a blended dataset of satellite-based estimations and in situ observations to improve WRF-Chem PM2.5 prediction X. Ma et al. 10.1016/j.atmosenv.2023.120284
54. Model bias in simulating major chemical components of PM<sub>2.5</sub> in China R. Miao et al. 10.5194/acp-20-12265-2020
55. Meteorological and Chemical Causes of Heavy Pollution in Winter in Hohhot, Inner Mongolia Plateau X. Ren et al. 10.2139/ssrn.3995158
56. The concentration, source and deposition flux of ammonium and nitrate in atmospheric particles during dust events at a coastal site in northern China J. Qi et al. 10.5194/acp-18-571-2018
57. New positive feedback mechanism between boundary layer meteorology and secondary aerosol formation during severe haze events Q. Liu et al. 10.1038/s41598-018-24366-3
58. Heterogeneous sulfate aerosol formation mechanisms during wintertime Chinese haze events: air quality model assessment using observations of sulfate oxygen isotopes in Beijing J. Shao et al. 10.5194/acp-19-6107-2019
59. Nocturnal fine particulate nitrate formation by N2O5 heterogeneous chemistry in Seoul Metropolitan Area, Korea H. Jo et al. 10.1016/j.atmosres.2019.03.028
60. A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application S. Feng et al. 10.5194/gmd-16-5949-2023
61. Transport Pathways of Nitrate Formed from Nocturnal N2O5 Hydrolysis Aloft to the Ground Level in Winter North China Plain X. Zhao et al. 10.1021/acs.est.3c00086
62. An Air Stagnation Index to Qualify Extreme Haze Events in Northern China J. Feng et al. 10.1175/JAS-D-17-0354.1
63. Environmental and human health trade-offs in potential Chinese dietary shifts Y. Guo et al. 10.1016/j.oneear.2022.02.002
64. Atmospheric Aerosol Distribution in 2016–2017 over the Eastern European Region Based on the GEOS-Chem Model G. Milinevsky et al. 10.3390/atmos11070722
65. Development and application of the WRFDA-Chem three-dimensional variational (3DVAR) system: aiming to improve air quality forecasting and diagnose model deficiencies W. Sun et al. 10.5194/acp-20-9311-2020
66. Source estimation of SO42− and NO3− based on monitoring-modeling approach during winter and summer seasons in Beijing and Tangshan, China X. Wang et al. 10.1016/j.atmosenv.2019.116849
67. Impacts of large-scale deployment of mountainous wind farms on wintertime regional air quality in the Beijing-Tian-Hebei area Z. Ruan et al. 10.1016/j.atmosenv.2022.119074
68. Unrecognized pollution by inorganic condensable particulate matter in the atmosphere M. Li et al. 10.1007/s10311-023-01644-9
69. Improvement of model simulation for summer PM2.5 and O3 through coupling with two new potential HONO sources in the North China Plain X. Zhao et al. 10.1016/j.scitotenv.2024.175168
70. Limitations in representation of physical processes prevent successful simulation of PM<sub>2.5</sub> during KORUS-AQ K. Travis et al. 10.5194/acp-22-7933-2022
71. Development of an integrated machine learning model to improve the secondary inorganic aerosol simulation over the Beijing–Tianjin–Hebei region N. Ding et al. 10.1016/j.atmosenv.2024.120483
72. Atmospheric new particle formation in China B. Chu et al. 10.5194/acp-19-115-2019
73. Optimizing the Numerical Simulation of the Dust Event of March 2021: Integrating Aerosol Observations through Multi-Scale 3D Variational Assimilation in the WRF-Chem Model S. Mei et al. 10.3390/rs16111852
74. Effects of biogenic volatile organic compounds and anthropogenic NOx emissions on O3 and PM2.5 formation over the northern region of Thailand P. Uttamang et al. 10.3389/fenvs.2023.1146437
75. Long-range transport of ozone across the eastern China seas: A case study in coastal cities in southeastern China Y. Zheng et al. 10.1016/j.scitotenv.2020.144520
76. Effectiveness of short-term air quality emission controls: a high-resolution model study of Beijing during the Asia-Pacific Economic Cooperation (APEC) summit period T. Ansari et al. 10.5194/acp-19-8651-2019
77. Characteristics and classification of PM2.5 pollution episodes in Beijing from 2013 to 2015 X. Wang et al. 10.1016/j.scitotenv.2017.08.206
78. Impact of China’s Air Pollution Prevention and Control Action Plan on PM2.5 chemical composition over eastern China G. Geng et al. 10.1007/s11430-018-9353-x
79. Response of fine particulate matter to reductions in anthropogenic emissions in Beijing during the 2014 Asia–Pacific Economic Cooperation summit Y. GU & H. LIAO 10.1080/16742834.2016.1230465
80. Assessment of the Coupled Model Intercomparison Project phase 6 (CMIP6) Model performance in simulating the spatial-temporal variation of aerosol optical depth over Eastern Central China X. Li et al. 10.1016/j.atmosres.2021.105747
81. NOx Emission Changes Over China During the COVID‐19 Epidemic Inferred From Surface NO2 Observations S. Feng et al. 10.1029/2020GL090080
82. Evaluating the sensitivity of fine particulate matter (PM2.5) simulations to chemical mechanism in WRF-Chem over Delhi R. Jat et al. 10.1016/j.atmosenv.2024.120410
83. Evidence for the Importance of Semivolatile Organic Ammonium Salts in Ambient Particulate Matter Y. Tao & J. Murphy 10.1021/acs.est.8b03800
84. A dynamic ammonia emission model and the online coupling with WRF–Chem (WRF–SoilN–Chem v1.0): development and regional evaluation in China C. Ren et al. 10.5194/gmd-16-1641-2023
85. Incorporation and improvement of a heterogeneous chemistry mechanism in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on secondary inorganic aerosol and PM2.5 simulations in Middle-Eastern China Z. Liu et al. 10.1016/j.scitotenv.2022.157530
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