82 citations as recorded by crossref.

1. Large contributions of biogenic and anthropogenic sources to fine organic aerosols in Tianjin, North China Y. Fan et al. https://doi.org/10.5194/acp-20-117-2020
2. Computationally efficient air quality forecasting tool: implementation of STOPS v1.5 model into CMAQ v5.0.2 for a prediction of Asian dust W. Jeon et al. https://doi.org/10.5194/gmd-9-3671-2016
3. Seasonal variation in particle contribution and aerosol types in Shanghai based on satellite data from MODIS and CALIOP Q. Liu et al. https://doi.org/10.1016/j.partic.2019.10.001
4. Identifying the O3 chemical regime inferred from the weekly pattern of atmospheric O3, CO, NOx, and PM10: Five-year observations at a center urban site in Shanghai, China G. Zhang et al. https://doi.org/10.1016/j.scitotenv.2023.164079
5. Changes of water-soluble inorganic sulfate and nitrate during severe dust storm episodes in a coastal city of North China W. Wang et al. https://doi.org/10.1016/j.envpol.2023.122288
6. Impact of biomass burning on haze pollution in the Yangtze River delta, China: a case study in summer 2011 Z. Cheng et al. https://doi.org/10.5194/acp-14-4573-2014
7. Characterization and source analysis of water-soluble inorganic ionic species in PM2.5 during a wintertime particle pollution episode in Nanjing, China Y. Zhan et al. https://doi.org/10.1016/j.atmosres.2021.105769
8. Extending the Community Multiscale Air Quality (CMAQ) modeling system to hemispheric scales: overview of process considerations and initial applications R. Mathur et al. https://doi.org/10.5194/acp-17-12449-2017
9. Characterizing a persistent Asian dust transport event: Optical properties and impact on air quality through the ground-based and satellite measurements over Nanjing, China Y. Han et al. https://doi.org/10.1016/j.atmosenv.2015.05.048
10. Estimating NH3 emissions from agricultural fertilizer application in China using the bi-directional CMAQ model coupled to an agro-ecosystem model X. Fu et al. https://doi.org/10.5194/acp-15-6637-2015
11. Aerosol optical characteristics and their vertical distributions under enhanced haze pollution events: effect of the regional transport of different aerosol types over eastern China T. Sun et al. https://doi.org/10.5194/acp-18-2949-2018
12. Implications of a shrinking Great Salt Lake for dust on snow deposition in the Wasatch Mountains, UT, as informed by a source to sink case study from the 13–14 April 2017 dust event S. Skiles et al. https://doi.org/10.1088/1748-9326/aaefd8
13. Synoptic weather patterns and their impacts on regional particle pollution in the city cluster of the Sichuan Basin, China C. Zhan et al. https://doi.org/10.1016/j.atmosenv.2019.03.033
14. Observational evidence for the convective transport of dust over the Central United States C. Corr et al. https://doi.org/10.1002/2015JD023789
15. The Synergistic Effect of the Carbon Emission Trading Scheme on Pollution and Carbon Reduction in China’s Power Industry X. Zhang et al. https://doi.org/10.3390/su16198681
16. Characteristics of PM2.5 mass concentrations and chemical species in urban and background areas of China: emerging results from the CARE-China network Z. Liu et al. https://doi.org/10.5194/acp-18-8849-2018
17. Heterogeneous chemistry: a mechanism missing in current models to explain secondary inorganic aerosol formation during the January 2013 haze episode in North China B. Zheng et al. https://doi.org/10.5194/acp-15-2031-2015
18. Assessment of vertical characterization and potential sources of aerosols in different altitude layers: Combined application of MAX-DOAS observation and the 3D-CWT model J. Chen et al. https://doi.org/10.1016/j.atmosres.2023.107046
19. Recent changes of trans-boundary air pollution over the Yellow Sea: Implications for future air quality in South Korea P. Bhardwaj et al. https://doi.org/10.1016/j.envpol.2019.01.048
20. Seasonal variation of atmospheric vertical extinction and its interaction with meteorological factors in the Yangtze River Delta region B. Qi et al. https://doi.org/10.1016/j.chemosphere.2019.125768
21. Formation Mechanism and Traceability Analysis of the “3.15” Strong Dust Storm Weather in 2021 H. Gui et al. https://doi.org/10.1155/adme/3775475
22. Sensitivity analysis of the dust emission treatment in CMAQv5.2.1 and its application to long-range transport over East Asia S. Kong et al. https://doi.org/10.1016/j.atmosenv.2021.118441
23. Updates and evaluation of NOAA's online-coupled air quality model version 7 (AQMv7) within the Unified Forecast System W. Li et al. https://doi.org/10.5194/gmd-18-1635-2025
24. Modeling analysis of secondary inorganic aerosols over China: pollution characteristics, and meteorological and dust impacts X. Fu et al. https://doi.org/10.1038/srep35992
25. Characteristics of the long-range transport dust events in Chengdu, Southwest China Y. Chen et al. https://doi.org/10.1016/j.atmosenv.2015.10.045
26. Development of a PM2.5 prediction model using a recurrent neural network algorithm for the Seoul metropolitan area, Republic of Korea H. Chang-Hoi et al. https://doi.org/10.1016/j.atmosenv.2020.118021
27. Exploring the mechanisms of dust emission and transport based on observations and GEOS-Chem simulations P. Zou et al. https://doi.org/10.5194/acp-26-7485-2026
28. The impact of synoptic circulation on air quality and pollution-related human health in the Yangtze River Delta region Z. Liao et al. https://doi.org/10.1016/j.scitotenv.2017.07.031
29. Environmentally dependent dust chemistry of a super Asian dust storm in March 2010: observation and simulation Q. Wang et al. https://doi.org/10.5194/acp-18-3505-2018
30. Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16 P. Campbell et al. https://doi.org/10.5194/gmd-15-3281-2022
31. 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. https://doi.org/10.5194/acp-18-571-2018
32. Aerosol optical properties and direct radiative forcing based on measurements from the China Aerosol Remote Sensing Network (CARSNET) in eastern China H. Che et al. https://doi.org/10.5194/acp-18-405-2018
33. Dust pollution substantially weakens the impact of ammonia emission reduction on particulate nitrate formation H. Lang et al. https://doi.org/10.5194/acp-25-10587-2025
34. Underestimated inhibition of cloud water by dust aerosols in the Yangtze River Delta T. Xu et al. https://doi.org/10.1016/j.atmosenv.2025.121406
35. High enrichment of heavy metals in fine particulate matter through dust aerosol generation Q. Gao et al. https://doi.org/10.5194/acp-23-13049-2023
36. PM10 and PM2.5 real-time prediction models using an interpolated convolutional neural network S. Chae et al. https://doi.org/10.1038/s41598-021-91253-9
37. Dust model sensitivity to dust source mask, sandblasting efficiency, air density, and land use: Implications for model improvement J. Joshi https://doi.org/10.1016/j.apr.2024.102230
38. Can a coupled meteorology–chemistry model reproduce the historical trend in aerosol direct radiative effects over the Northern Hemisphere? J. Xing et al. https://doi.org/10.5194/acp-15-9997-2015
39. Evaluation of the NAQFC driven by the NOAA Global Forecast System (version 16): comparison with the WRF-CMAQ during the summer 2019 FIREX-AQ campaign Y. Tang et al. https://doi.org/10.5194/gmd-15-7977-2022
40. Wind-Blown Dust Modeling Using a Backward-Lagrangian Particle Dispersion Model D. Mallia et al. https://doi.org/10.1175/JAMC-D-16-0351.1
41. Analysis on the Characteristics and Cause of a Compound Pollution Process in Changsha in 2017 H. Yan et al. https://doi.org/10.1051/e3sconf/202125901001
42. Ground-based MAX-DOAS observations of tropospheric aerosols, NO2, SO2 and HCHO in Wuxi, China, from 2011 to 2014 Y. Wang et al. https://doi.org/10.5194/acp-17-2189-2017
43. Measurement of ambient aerosols by single particle mass spectrometry in the Yangtze River Delta, China: Seasonal variations, mixing state and meteorological effects R. Hu et al. https://doi.org/10.1016/j.atmosres.2018.07.011
44. Residential emissions predicted as a major source of fine particulate matter in winter over the Yangtze River Delta, China Y. Wu et al. https://doi.org/10.1007/s10311-018-0735-6
45. Atmospheric environment characteristic of severe dust storms and its impact on sulfate formation in downstream city N. Sun et al. https://doi.org/10.1016/j.scitotenv.2024.171128
46. Understanding interannual variations of biomass burning from Peninsular Southeast Asia, part I: Model evaluation and analysis of systematic bias X. Dong & J. Fu https://doi.org/10.1016/j.atmosenv.2015.06.026
47. Air Quality Degradation by Mineral Dust over Beijing, Chengdu and Shanghai Chinese Megacities M. Lachatre et al. https://doi.org/10.3390/atmos11070708
48. Dust particles transport during the rare strong sandstorm process in Northern China in early year 2021 X. Xu et al. https://doi.org/10.1007/s11869-022-01159-2
49. Preliminary Evaluation of a Regional Atmospheric Chemical Data Assimilation System for Environmental Surveillance P. Lee & Y. Liu https://doi.org/10.3390/ijerph111212795
50. Modeling for the source apportionments of PM10 during sand and dust storms over East Asia in 2020 J. Wang et al. https://doi.org/10.1016/j.atmosenv.2021.118768
51. Dust in the Critical Zone: North American case studies J. Brahney et al. https://doi.org/10.1016/j.earscirev.2024.104942
52. Insights into extinction evolution during extreme low visibility events: Case study of Shanghai, China Z. Cheng et al. https://doi.org/10.1016/j.scitotenv.2017.08.202
53. Investigation of a haze-to-dust and dust swing process at a coastal city in northern China part I: Chemical composition and contributions of anthropogenic and natural sources W. Zhu et al. https://doi.org/10.1016/j.scitotenv.2022.158270
54. Model development of dust emission and heterogeneous chemistry within the Community Multiscale Air Quality modeling system and its application over East Asia X. Dong et al. https://doi.org/10.5194/acp-16-8157-2016
55. The impact of sea spray aerosol on photochemical ozone formation over eastern China: heterogeneous reaction of chlorine particles and radiative effect Y. Hong et al. https://doi.org/10.5194/acp-25-11847-2025
56. Efficient Heterogeneous Formation of Ammonium Nitrate on the Saline Mineral Particle Surface in the Atmosphere of East Asia during Dust Storm Periods C. Wu et al. https://doi.org/10.1021/acs.est.0c04544
57. Wind-blown dust and its impacts on particulate matter pollution in Northern China: current and future scenarios S. Liu et al. https://doi.org/10.1088/1748-9326/ac31ec
58. Impact of the planetary boundary layer on air quality simulations over the Yangtze River Delta region, China L. Shi et al. https://doi.org/10.1016/j.atmosenv.2021.118685
59. Characteristics and source apportionment of PM2.5 during a fall heavy haze episode in the Yangtze River Delta of China Y. Hua et al. https://doi.org/10.1016/j.atmosenv.2015.03.046
60. Investigation of aerosol optical properties and pollutant transmission mechanisms in Qinhuangdao, North China – A case study during a pollution event S. Zhu et al. https://doi.org/10.1016/j.apr.2022.101440
61. 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. https://doi.org/10.5194/acp-15-5803-2015
62. Iron and nutrient content of wind-erodible sediment in the ephemeral river valleys of Namibia A. Dansie et al. https://doi.org/10.1016/j.geomorph.2017.03.016
63. Complex network analysis of PM2.5 transport in the Yangtze River Delta Region, China X. Wang et al. https://doi.org/10.1007/s00477-021-02056-3
64. Status and characteristics of ambient PM2.5 pollution in global megacities Z. Cheng et al. https://doi.org/10.1016/j.envint.2016.02.003
65. Mixing state of ambient aerosols during different fog-haze pollution episodes in the Yangtze River Delta, China R. Hu et al. https://doi.org/10.1016/j.atmosenv.2018.01.032
66. The empirical relationship between PM2.5 and AOD in Nanjing of the Yangtze River Delta P. Shao et al. https://doi.org/10.1016/j.apr.2016.09.001
67. Temporal variations in black carbon in the Yangtze River Delta of China: Long-term observations and trends under different pollution processes J. Ren et al. https://doi.org/10.1016/j.atmosres.2025.108067
68. Air pollution and climate response to aerosol direct radiative effects: A modeling study of decadal trends across the northern hemisphere J. Xing et al. https://doi.org/10.1002/2015JD023933
69. Evaluating the predictability of PM10 grades in Seoul, Korea using a neural network model based on synoptic patterns S. Hur et al. https://doi.org/10.1016/j.envpol.2016.08.090
70. Gobi-sourced dust and dust–climate feedbacks in the March 2023 East Asian storm S. Liang et al. https://doi.org/10.1016/j.atmosres.2025.108735
71. Regional severe particle pollution and its association with synoptic weather patterns in the Yangtze River Delta region, China L. Shu et al. https://doi.org/10.5194/acp-17-12871-2017
72. An overview of mineral dust modeling over East Asia S. Chen et al. https://doi.org/10.1007/s13351-017-6142-2
73. Multi-year downscaling application of two-way coupled WRF v3.4 and CMAQ v5.0.2 over east Asia for regional climate and air quality modeling: model evaluation and aerosol direct effects C. Hong et al. https://doi.org/10.5194/gmd-10-2447-2017
74. Trace Elements From Ocean‐Going Vessels in East Asia: Vanadium and Nickel Emissions and Their Impacts on Air Quality J. Zhao et al. https://doi.org/10.1029/2020JD033984
75. Long-range transport of air pollutants originating in China: A possible major cause of multi-day high-PM10 episodes during cold season in Seoul, Korea H. Oh et al. https://doi.org/10.1016/j.atmosenv.2015.03.005
76. 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. https://doi.org/10.1155/2016/6295878
77. Spatially and chemically resolved source apportionment analysis: Case study of high particulate matter event B. Kim et al. https://doi.org/10.1016/j.atmosenv.2017.05.006
78. Investigating the PM2.5 mass concentration growth processes during 2013–2016 in Beijing and Shanghai J. Sun et al. https://doi.org/10.1016/j.chemosphere.2018.12.200
79. A case study of development and application of a streamlined control and response modeling system for PM2.5 attainment assessment in China S. Long et al. https://doi.org/10.1016/j.jes.2015.05.019
80. Impacts of Regional Transport on Particulate Matter Pollution in China: a Review of Methods and Results J. Sun et al. https://doi.org/10.1007/s40726-017-0065-5
81. Role of emissions and meteorology in the recent PM2.5 changes in China and South Korea from 2015 to 2018 M. Bae et al. https://doi.org/10.1016/j.envpol.2020.116233
82. Impacts of Transboundary Dust Transport on Aerosol Pollution in the Western Yangtze River Delta Region, China: Insights Gained From Ground‐Based Lidar and Satellite Observations H. Yang et al. https://doi.org/10.1029/2020EA001533