80 citations as recorded by crossref.

1. Inverse modeling of black carbon emissions over China using ensemble data assimilation P. Wang et al. 10.5194/acp-16-989-2016
2. Application of Morrison Cloud Microphysics Scheme in GRAPES_Meso Model and the Sensitivity Study on CCN’s Impacts on Cloud Radiation Y. Shi et al. 10.3390/atmos12040489
3. Reflections on the threshold for PM_2.5 explosive growth in the cumulative stage of winter heavy aerosol pollution episodes (HPEs) in Beijing J. Zhong et al. 10.1080/16000889.2018.1528134
4. A New Cloud and Haze Mask Algorithm From Radiative Transfer Simulations Coupled With Machine Learning Y. Jiao et al. 10.1109/TGRS.2023.3252264
5. Development of four-dimensional variational assimilation system based on the GRAPES–CUACE adjoint model (GRAPES–CUACE-4D-Var V1.0) and its application in emission inversion C. Wang et al. 10.5194/gmd-14-337-2021
6. Characterization of black carbon aerosol at the summit of Mount Tai (1534 m) in central east China: Temporal variation, source appointment and transport L. Shen et al. 10.1016/j.atmosenv.2020.118152
7. 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
8. Effects of turbulence structure and urbanization on the heavy haze pollution process Y. Ren et al. 10.5194/acp-19-1041-2019
9. Observation-based estimation of aerosol-induced reduction of planetary boundary layer height J. Zou et al. 10.1007/s00376-016-6259-8
10. The effects of the “two-way feedback mechanism” on the maintenance of persistent heavy aerosol pollution over areas with relatively light aerosol pollution in northwest China W. Zhang et al. 10.1016/j.scitotenv.2019.06.295
11. A new parameterization of uptake coefficients for heterogeneous reactions on multi-component atmospheric aerosols Y. Zhou et al. 10.1016/j.scitotenv.2021.146372
12. Superimposed effects of typical local circulations driven by mountainous topography and aerosol–radiation interaction on heavy haze in the Beijing–Tianjin–Hebei central and southern plains in winter Y. Peng et al. 10.5194/acp-23-8325-2023
13. Simulated aging processes of black carbon and its impact during a severe winter haze event in the Beijing-Tianjin-Hebei region D. Chen et al. 10.1016/j.scitotenv.2020.142712
14. Distribution and transport characteristics of fine particulate matter in beijing with mobile lidar measurements from 2015 to 2018 L. Lv et al. 10.1016/j.jes.2021.06.013
15. Relative contributions of boundary-layer meteorological factors to the explosive growth of PM2.5 during the red-alert heavy pollution episodes in Beijing in December 2016 J. Zhong et al. 10.1007/s13351-017-7088-0
16. Improvement of MODIS cloud mask over severe polluted eastern China X. Zhang et al. 10.1016/j.scitotenv.2018.10.369
17. Sensitivity analysis of atmospheric oxidation capacity in Beijing based on the GRAPES-CUACE adjoint model C. Wang et al. 10.1016/j.atmosenv.2023.119641
18. Spatial Correlation of Industrial NOx Emission in China’s 2 + 26 Policy Region: Based on Social Network Analysis S. Jiang et al. 10.3390/su12062289
19. 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 Y. Yang et al. 10.5194/acp-20-12527-2020
20. The blue skies in Beijing during APEC 2014: A quantitative assessment of emission control efficiency and meteorological influence H. Liu et al. 10.1016/j.atmosenv.2017.08.032
21. Contribution of Atmospheric Diffusion Conditions to the Recent Improvement in Air Quality in China X. Wang et al. 10.1038/srep36404
22. Comparison between MODIS-derived day and night cloud cover and surface observations over the North China Plain X. Zhang et al. 10.1007/s00376-017-7070-x
23. Development of WRF/CUACE v1.0 model and its preliminary application in simulating air quality in China L. Zhang et al. 10.5194/gmd-14-703-2021
24. The Different Impacts of Emissions and Meteorology on PM2.5 Changes in Various Regions in China: A Case Study W. Zhang et al. 10.3390/atmos13020222
25. Impact of “blocking” structure in the troposphere on the wintertime persistent heavy air pollution in northern China W. Cai et al. 10.1016/j.scitotenv.2020.140325
26. Chemistry‐Weather Interacted Model System GRAPES_Meso5.1/CUACE CW V1.0: Development, Evaluation and Application in Better Haze/Fog Prediction in China H. Wang et al. 10.1029/2022MS003222
27. Characterization of particulate matter at Mt. Gwanak (at 632 m) and vertical mixing impacts on haze in Seoul during winter S. Kwon et al. 10.1016/j.scitotenv.2024.178106
28. Modeling study of PM2.5 pollutant transport across cities in China's Jing–Jin–Ji region during a severe haze episode in December 2013 C. Jiang et al. 10.5194/acp-15-5803-2015
29. Contributions of trans-boundary transport to summertime air quality in Beijing, China J. Wu et al. 10.5194/acp-17-2035-2017
30. Assessment of the impact of atmospheric aerosols and meteorological data assimilation on simulation of the weather over India during summer 2015 S. Devaliya et al. 10.1016/j.atmosenv.2023.119586
31. Modification of Local Urban Aerosol Properties by Long-Range Transport of Biomass Burning Aerosol I. Stachlewska et al. 10.3390/rs10030412
32. The application study of the revised IMPROVE atmospheric extinction algorithm in atmospheric chemistry model focusing on improving low visibility prediction in eastern China C. Han et al. 10.1016/j.atmosres.2023.107135
33. Impact of the planetary boundary layer on air quality simulations over the Yangtze River Delta region, China L. Shi et al. 10.1016/j.atmosenv.2021.118685
34. The combined effects of heterogeneous chemistry and aerosol-radiation interaction on severe haze simulation by atmospheric chemistry model in Middle-Eastern China Z. Liu et al. 10.1016/j.atmosenv.2023.119729
35. Air Quality in Ningbo and Transport Trajectory Characteristics of Primary Pollutants in Autumn and Winter X. Tu et al. 10.3390/atmos10030120
36. Reinforcement of Secondary Circulation by Aerosol Feedback and PM2.5 Vertical Exchange in the Atmospheric Boundary Layer J. Li et al. 10.1029/2021GL094465
37. The pathway of impacts of aerosol direct effects on secondary inorganic aerosol formation J. Wang et al. 10.5194/acp-22-5147-2022
38. “Warm cover”: precursory strong signals for haze pollution hidden in the middle troposphere X. Xu et al. 10.5194/acp-21-14131-2021
39. Evaluating the contributions of changed meteorological conditions and emission to substantial reductions of PM2.5 concentration from winter 2016 to 2017 in Central and Eastern China W. Zhang et al. 10.1016/j.scitotenv.2020.136892
40. The impact of aerosol-cloud interaction on mesoscale numerical weather prediction when low-cloud and haze coexist in winter over major polluted regions of China W. Zhang et al. 10.1016/j.atmosenv.2023.120270
41. Characterizing the ratio of nitrate to sulfate in ambient fine particles of urban Beijing during 2018–2019 S. Li et al. 10.1016/j.atmosenv.2020.117662
42. Effect of Heat Wave Conditions on Aerosol Optical Properties Derived from Satellite and Ground-Based Remote Sensing over Poland I. Stachlewska et al. 10.3390/rs9111199
43. Multiple technical observations of the atmospheric boundary layer structure of a red-alert haze episode in Beijing Y. Shi et al. 10.5194/amt-12-4887-2019
44. Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) S. Ma et al. 10.5194/gmd-12-4603-2019
45. Improved method of visibility parameterization focusing on high humidity and aerosol concentrations during fog–haze events: Application in the GRAPES_CAUCE model in Jing-Jin-Ji, China Y. Peng et al. 10.1016/j.atmosenv.2019.117139
46. Large contributions of emission reductions and meteorological conditions to the abatement of PM2.5 in Beijing during the 24th Winter Olympic Games in 2022 Y. Jiang et al. 10.1016/j.jes.2022.12.017
47. Formation, features and controlling strategies of severe haze-fog pollutions in China H. Fu & J. Chen 10.1016/j.scitotenv.2016.10.201
48. Sensitivity analysis and precursor emission sources reduction strategies of O3 for different pollution weather types based on the GRAPES-CUACE adjoint model C. Wang et al. 10.1016/j.atmosenv.2024.120632
49. Dust induced radiative perturbations during an episode of long-range dust transport over Delhi, India: a high-resolution regional NWP model study T. Francis et al. 10.1007/s00703-020-00760-3
50. Implementation and application of ensemble optimal interpolation on an operational chemistry weather model for improving PM2.5 and visibility predictions S. Li et al. 10.5194/gmd-16-4171-2023
51. Development of a vehicle emission inventory with high temporal–spatial resolution based on NRT traffic data and its impact on air pollution in Beijing – Part 2: Impact of vehicle emission on urban air quality J. He et al. 10.5194/acp-16-3171-2016
52. Development of an adjoint model of GRAPES–CUACE and its application in tracking influential haze source areas in north China X. An et al. 10.5194/gmd-9-2153-2016
53. Five-year observation of aerosol optical properties and its radiative effects to planetary boundary layer during air pollution episodes in North China: Intercomparison of a plain site and a mountainous site in Beijing Y. Zheng et al. 10.1016/j.scitotenv.2019.03.418
54. On the relationship between convective precipitation and aerosol pollution in North China Plain during autumn and winter Z. Xiao et al. 10.1016/j.atmosres.2022.106120
55. Modeling study of the effects of entrainment-mixing on fog simulation in the chemistry–weather coupling model GRAPES_Meso5.1/CUACE CW Y. Zhao et al. 10.1039/D4EA00003J
56. Impacts of PBL schemes on PM2.5 simulation and their responses to aerosol-radiation feedback in GRAPES_CUACE model during severe haze episodes in Jing-Jin-Ji, China Y. Peng et al. 10.1016/j.atmosres.2020.105268
57. The Role of Aerosol‐Radiation Interaction in the Meteorology Prediction at the Weather Scale in the Numerical Weather Prediction Model W. Zhang et al. 10.1029/2021GL097026
58. Comparisons of cloud detection among four satellite sensors on severe haze days in eastern China S. Tan et al. 10.1080/16742834.2017.1381547
59. The Impacts of Different PBL Schemes on the Simulation of PM2.5during Severe Haze Episodes in the Jing-Jin-Ji Region and Its Surroundings in China T. Li et al. 10.1155/2016/6295878
60. Characteristics of chemical composition and role of meteorological factors during heavy aerosol pollution episodes in northern Beijing area in autumn and winter of 2015 Z. Zhang et al. 10.1080/16000889.2017.1347484
61. A study on atmospheric turbulence structure and intermittency during heavy haze pollution in the Beijing area Y. Ren et al. 10.1007/s11430-019-9451-0
62. Comparing the impact of strong and weak East Asian winter monsoon on PM2.5 concentration in Beijing C. Wang et al. 10.1016/j.atmosres.2018.08.022
63. Study on the Optical–Physical Properties of Aerosol Layers in Africa Based on a Laser Satellite M. Zhang et al. 10.3390/atmos14101524
64. The ‘two-way feedback mechanism’ between unfavorable meteorological conditions and cumulative PM2.5 mass existing in polluted areas south of Beijing L. Liu et al. 10.1016/j.atmosenv.2019.02.050
65. Air quality and climate change, Topic 3 of the Model Inter-Comparison Study for Asia Phase III (MICS-Asia III) – Part 2: aerosol radiative effects and aerosol feedbacks M. Gao et al. 10.5194/acp-20-1147-2020
66. Evaluating the performance of two surface layer schemes for the momentum and heat exchange processes during severe haze pollution in Jing-Jin-Ji in eastern China Y. Peng et al. 10.5194/acp-18-17421-2018
67. Development of GRAPES-CUACE adjoint model version 2.0 and its application in sensitivity analysis of ozone pollution in north China C. Wang et al. 10.1016/j.scitotenv.2022.153879
68. Aerosol-radiation interaction in the operational atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on mesoscale NWP in Beijing-Tianjin-Hebei, China Y. Peng et al. 10.1016/j.atmosres.2022.106402
69. Advances in Urban Meteorological Research in China S. Miao et al. 10.1007/s13351-020-9858-3
70. The Correlation Between Surface Temperature and Surface PM2.5 in Nanchang Region, China W. Wang et al. 10.3390/atmos16040411
71. Variability in the correlation between satellite-derived liquid cloud droplet effective radius and aerosol index over the northern Pacific Ocean S. Tan et al. 10.1080/16000889.2017.1391656
72. Feedback effects of boundary-layer meteorological factors on cumulative explosive growth of PM2.5 during winter heavy pollution episodes in Beijing from 2013 to 2016 J. Zhong et al. 10.5194/acp-18-247-2018
73. Contributions to the explosive growth of PM2.5 mass due to aerosol–radiation feedback and decrease in turbulent diffusion during a red alert heavy haze in Beijing–Tianjin–Hebei, China H. Wang et al. 10.5194/acp-18-17717-2018
74. Mesoscale modelling study of the interactions between aerosols and PBL meteorology during a haze episode in China Jing–Jin–Ji and its near surrounding region – Part 2: Aerosols' radiative feedback effects H. Wang et al. 10.5194/acp-15-3277-2015
75. Source apportionment of black carbon using an advanced Aethalometer model in a typical industrial city of China X. Fan et al. 10.1016/j.jes.2024.03.036
76. Tracking sensitive source areas of different weather pollution types using GRAPES-CUACE adjoint model C. Wang et al. 10.1016/j.atmosenv.2017.11.041
77. An improved four-dimensional variation source term inversion model with observation error regularization C. Han et al. 10.1016/j.dt.2022.03.012
78. Enclosed-terrain urbanized areas require vertically stratified air quality management: Insights from particulate matter vertical observations in China's Sichuan Basin X. Shu et al. 10.1016/j.jenvman.2025.126564
79. Numerical simulation of the influence of aerosol radiation effect on urban boundary layer X. Wang et al. 10.1007/s11430-018-9260-0
80. Energy use, industrial soot and vehicle exhaust pollution—China's regional air pollution recognition, performance decomposition and governance Z. Miao et al. 10.1016/j.eneco.2019.07.002