56 citations as recorded by crossref.

1. Cascading Delays in the Monsoon Rice Growing Season and Postmonsoon Agricultural Fires Likely Exacerbate Air Pollution in North India T. Liu et al. 10.1029/2022JD036790
2. Aggravated chemical production of aerosols by regional transport and basin terrain in a heavy PM2.5 pollution episode over central China W. Hu et al. 10.1016/j.atmosenv.2022.119489
3. 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
4. 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
5. 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
6. Comparison of the turbulence structure during light and heavy haze pollution episodes Y. Ren et al. 10.1016/j.atmosres.2019.104645
7. 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
8. Energy transition in the enhancement and break of turbulence barrier during heavy haze pollution Y. Ren et al. 10.1016/j.envpol.2022.120770
9. Analysis of meteorological factors on different stages of heavy haze pollution in Beijing, 2019 A. Chen et al. 10.1051/e3sconf/201911700018
10. 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
11. Application of Turbulent Diffusion Term of Aerosols in Mesoscale Model W. Jia et al. 10.1029/2021GL093199
12. Application of a Neural Network to Store and Compute the Optical Properties of Non-Spherical Particles J. Yu et al. 10.1007/s00376-021-1375-5
13. 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
14. Impacts of Boundary-Layer Structure and Turbulence on the Variations of PM2.5 During Fog–Haze Episodes T. Ju et al. 10.1007/s10546-022-00691-z
15. Rapid mass growth and enhanced light extinction of atmospheric aerosols during the heating season haze episodes in Beijing revealed by aerosol–chemistry–radiation–boundary layer interaction Z. Lin et al. 10.5194/acp-21-12173-2021
16. 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
17. 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
18. A Comprehensive Study of a Winter Haze Episode over the Area around Bohai Bay in Northeast China: Insights from Meteorological Elements Observations of Boundary Layer B. Kang et al. 10.3390/su14095424
19. The role of the planetary boundary layer parameterization schemes on the meteorological and aerosol pollution simulations: A review W. Jia & X. Zhang 10.1016/j.atmosres.2020.104890
20. Integrated impacts of synoptic forcing and aerosol radiative effect on boundary layer and pollution in the Beijing–Tianjin–Hebei region, China Y. Miao et al. 10.5194/acp-20-5899-2020
21. Turbulent Diffusion Effect on PM2.5 Concentration above an Urban Canopy G. Redah et al. 10.1088/1755-1315/1223/1/012005
22. Coupled-decoupled turbulence structures of stable boundary layer during heavy haze pollution events Y. Ren et al. 10.1016/j.atmosres.2022.106465
23. Evaluation of WRF-Chem simulations on vertical profiles of PM2.5 with UAV observations during a haze pollution event C. Liu et al. 10.1016/j.atmosenv.2021.118332
24. Explosive formation of secondary organic aerosol due to aerosol-fog interactions L. Jia et al. 10.1016/j.scitotenv.2022.161338
25. Aerosol‐Radiation Interactions in China in Winter: Competing Effects of Reduced Shortwave Radiation and Cloud‐Snowfall‐Albedo Feedbacks Under Rapidly Changing Emissions J. Moch et al. 10.1029/2021JD035442
26. 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
27. Long-Term Evolution and Characteristics of Extreme Air Pollution Meteorological Events in China 玉. 宋 10.12677/CCRL.2021.105064
28. Influence of Meteorological Factors and Chemical Processes on the Explosive Growth of PM2.5 in Shanghai, China W. Sun et al. 10.3390/atmos13071068
29. Elevated 3D structures of PM<sub>2.5</sub> and impact of complex terrain-forcing circulations on heavy haze pollution over Sichuan Basin, China Z. Shu et al. 10.5194/acp-21-9253-2021
30. Rapid formation of intense haze episodes via aerosol–boundary layer feedback in Beijing Y. Wang et al. 10.5194/acp-20-45-2020
31. Evaluation and improvement study of the Planetary Boundary-Layer schemes during a high PM2.5 episode in a core city of BTH region, China J. Yang et al. 10.1016/j.scitotenv.2020.142756
32. Combined effect of surface PM2.5 assimilation and aerosol-radiation interaction on winter severe haze prediction in central and eastern China Y. Peng et al. 10.1016/j.apr.2023.101802
33. Temporal and spatial characteristics of turbulent transfer and diffusion coefficient of PM2.5 Y. Ren et al. 10.1016/j.scitotenv.2021.146804
34. Spatiotemporal variations and reduction of air pollutants during the COVID-19 pandemic in a megacity of Yangtze River Delta in China Q. Yuan et al. 10.1016/j.scitotenv.2020.141820
35. Turbulence barrier effect during heavy haze pollution events Y. Ren et al. 10.1016/j.scitotenv.2020.142286
36. Single‐Scattering Properties of Encapsulated Fractal Black Carbon Particles Computed Using the Invariant Imbedding T‐Matrix Method and Deep Learning Approaches X. Wang et al. 10.1029/2023JD039568
37. 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
38. 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
39. 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
40. Assessing the pollutant evolution mechanisms of heavy pollution episodes in the Yangtze-Huaihe valley: A multiscale perspective W. Jia et al. 10.1016/j.atmosenv.2020.117986
41. Impact of modified turbulent diffusion of PM<sub>2.5</sub> aerosol in WRF-Chem simulations in eastern China W. Jia & X. Zhang 10.5194/acp-21-16827-2021
42. Quantitative verification of the turbulence barrier effect during heavy haze pollution events Y. Ren et al. 10.1088/2515-7620/ac6381
43. Impacts of Extreme Air Pollution Meteorology on Air Quality in China J. Yang & M. Shao 10.1029/2020JD033210
44. Interaction Between Planetary Boundary Layer and PM2.5 Pollution in Megacities in China: a Review Y. Miao et al. 10.1007/s40726-019-00124-5
45. 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
46. Chemistry-triggered events of PM2.5 explosive growth during late autumn and winter in Shanghai, China W. Sun et al. 10.1016/j.envpol.2019.07.032
47. The two-way feedback effect between aerosol pollution and planetary boundary layer structure on the explosive rise of PM2.5 after the “Ten Statements of Atmosphere” in Beijing T. Zhang et al. 10.1016/j.scitotenv.2019.136259
48. Two-way coupled meteorology and air quality models in Asia: a systematic review and meta-analysis of impacts of aerosol feedbacks on meteorology and air quality C. Gao et al. 10.5194/acp-22-5265-2022
49. 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
50. Street-scale air quality modelling for Beijing during a winter 2016 measurement campaign M. Biggart et al. 10.5194/acp-20-2755-2020
51. Effects of Regional Transport on Haze in the North China Plain: Transport of Precursors or Secondary Inorganic Aerosols H. Du et al. 10.1029/2020GL087461
52. Impacts of emissions and meteorological conditions in three different phases of aerosol pollution during 2013–2022 in Anhui, China W. Jia et al. 10.1016/j.scitotenv.2024.171582
53. 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
54. The dominant mechanism of the explosive rise of PM2.5 after significant pollution emissions reduction in Beijing from 2017 to the COVID-19 pandemic in 2020 T. Zhang et al. 10.1016/j.apr.2020.11.008
55. The pathway of impacts of aerosol direct effects on secondary inorganic aerosol formation J. Wang et al. 10.5194/acp-22-5147-2022
56. Effects of boundary layer variations on physicochemical characteristics of aerosols in mid-low-altitude regions T. Chiang et al. 10.1016/j.scitotenv.2023.166849