61 citations as recorded by crossref.

1. Assessing the value of air stagnation indices to reproduce PM10 variability in Europe J. Garrido-Perez et al. https://doi.org/10.1016/j.atmosres.2020.105258
2. Study on the contribution of transport to PM2.5 in typical regions of China using the regional air quality model RAMS-CMAQ R. Li et al. https://doi.org/10.1016/j.atmosenv.2019.116856
3. Impacts of current and climate induced changes in atmospheric stagnation on Indian surface PM2.5 pollution M. Zhou et al. https://doi.org/10.1038/s41467-024-51462-y
4. Anthropogenic fine particulate matter pollution will be exacerbated in eastern China due to 21st century GHG warming H. Chen et al. https://doi.org/10.5194/acp-19-233-2019
5. Insights into quantitative evaluation technology of PM2.5 transport at multi–perspective and multi–spatial and temporal scales in the north China plain H. Zhang et al. https://doi.org/10.1016/j.envpol.2023.122693
6. Factors controlling surface ozone in the Seoul Metropolitan Area during the KORUS-AQ campaign H. Kim et al. https://doi.org/10.1525/elementa.444
7. Impacts of climate anomalies on the interannual and interdecadal variability of autumn and winter haze in North China: A review J. Wang et al. https://doi.org/10.1002/joc.6471
8. Climatology of low-level temperature inversions over China based on high-resolution radiosonde measurements Q. Huang et al. https://doi.org/10.1007/s00704-021-03536-w
9. Regulation of Synoptic Circulation in Regional PM2.5 Transport for Heavy Air Pollution: Study of 5‐year Observation Over Central China W. Hu et al. https://doi.org/10.1029/2021JD035937
10. Aerosol composition, air quality, and boundary layer dynamics in the urban background of Stuttgart in winter H. Zhang et al. https://doi.org/10.5194/acp-24-10617-2024
11. The differing impact of air stagnation on summer ozone across Europe J. Garrido-Perez et al. https://doi.org/10.1016/j.atmosenv.2019.117062
12. Responses of fine particulate matter (PM2.5) air quality to future climate, land use, and emission changes: Insights from modeling across shared socioeconomic pathways H. Bhattarai et al. https://doi.org/10.1016/j.scitotenv.2024.174611
13. Seasonal variation of optical properties and source apportionment of black and brown carbon in Xi'an, China M. Yuan et al. https://doi.org/10.1016/j.apr.2022.101448
14. Impact of meteorological condition changes on air quality and particulate chemical composition during the COVID-19 lockdown J. Ding et al. https://doi.org/10.1016/j.jes.2021.02.022
15. Heavy air pollution with a unique “non-stagnant” atmospheric boundary layer in the Yangtze River middle basin aggravated by regional transport of PM2.5 over China C. Yu et al. https://doi.org/10.5194/acp-20-7217-2020
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17. Impact of meteorological conditions and reductions in anthropogenic emissions on PM2.5 concentrations in China from 2016 to 2020 Z. Xu et al. https://doi.org/10.1016/j.atmosenv.2023.120265
18. A fast forecasting method for PM2.5 concentrations based on footprint modeling and emission optimization M. Yu et al. https://doi.org/10.1016/j.atmosenv.2019.117013
19. Exploring the key meteorological drivers of air pollution by intrinsically interpretable deep learning C. Yan et al. https://doi.org/10.1016/j.envsoft.2025.106571
20. Characteristics of the long-term variations in sulfate–nitrate–ammonium aerosols in a coastal city in Northern China—Interpretability analysis from a machine learning perspective J. Huang et al. https://doi.org/10.1016/j.atmosenv.2025.121245
21. Climate modulation of Niño3.4 SST-anomalies on air quality change in southern China: Application to seasonal forecast of haze pollution X. Cheng et al. https://doi.org/10.1016/j.atmosres.2019.04.002
22. Assessment of air pollution origin based on year-long parallel measurement of PM2.5 and PM10 at two suburban sites in Prague, Czech Republic J. Schwarz et al. https://doi.org/10.1016/j.scitotenv.2019.01.426
23. Long-term trends and variations in haze-related weather conditions in north China during 1980–2018 based on emission-weighted stagnation intensity J. Feng et al. https://doi.org/10.1016/j.atmosenv.2020.117830
24. Mixing layer transport flux of particulate matter in Beijing, China Y. Liu et al. https://doi.org/10.5194/acp-19-9531-2019
25. Low‐Level Jet Climatology of China Derived From Long‐Term Radiosonde Observations Y. Yan et al. https://doi.org/10.1029/2021JD035323
26. Correlation networks of air particulate matter ($$\hbox {PM}_{2.5}$$): a comparative study D. Vlachogiannis et al. https://doi.org/10.1007/s41109-021-00373-8
27. Roles of Atmospheric Turbulence and Stratification in a Regional Pollution Transport Event in the Middle Reaches of the Yangtze River Y. Zhou et al. https://doi.org/10.1029/2021EA002062
28. Vertical changes of PM2.5 driven by meteorology in the atmospheric boundary layer during a heavy air pollution event in central China X. Sun et al. https://doi.org/10.1016/j.scitotenv.2022.159830
29. Assessment of cloud water resources in Xinjiang, China: Spatial and seasonal variations and hydrological insights J. Liu et al. https://doi.org/10.1016/j.htopen.2026.100064
30. Size-resolved carbonaceous aerosols at near surface level and the hilltop in a typical valley city, China S. Zhao et al. https://doi.org/10.1016/j.apr.2019.09.022
31. Refined source apportionment of nitrate aerosols based on isotopes and emission inventories in coastal city of northern China Y. Ni et al. https://doi.org/10.1016/j.scitotenv.2024.177388
32. CETD, a global compound events detection and visualisation toolbox and dataset C. Yin et al. https://doi.org/10.1038/s41597-025-04530-x
33. The climate impact on atmospheric stagnation and capability of stagnation indices in elucidating the haze events over North China Plain and Northeast China Y. Gao et al. https://doi.org/10.1016/j.chemosphere.2020.127335
34. Cloud water path, precipitation amount, and precipitation efficiency derived from multiple datasets on the Qilian Mountains, Northeastern Tibetan Plateau P. Qi et al. https://doi.org/10.1016/j.atmosres.2022.106204
35. Role of air stagnation in determining daily average PM2.5 concentrations in areas with significant impact of long-range transport S. Jeong et al. https://doi.org/10.1016/j.apr.2024.102147
36. Connections between summer air pollution and stagnation G. Kerr & D. Waugh https://doi.org/10.1088/1748-9326/aad2e2
37. A storyline view of the projected role of remote drivers on summer air stagnation in Europe and the United States J. Garrido-Perez et al. https://doi.org/10.1088/1748-9326/ac4290
38. Linking air stagnation in Europe with the synoptic- to large-scale atmospheric circulation J. Maddison et al. https://doi.org/10.5194/wcd-2-675-2021
39. Regional characteristics of fine aerosol mass increase elucidated from long-term observations and KORUS-AQ campaign at a Northeast Asian background site S. Lim et al. https://doi.org/10.1525/elementa.2022.00020
40. Characterization of atmospheric volatile phenolic compounds in china: based on long-term observations - Possibly seriously underestimated OVOCs Z. Chen et al. https://doi.org/10.1016/j.atmosres.2025.108586
41. What matters in public perception and awareness of air quality? Quantitative assessment using internet search volume data Y. Ryu & S. Min https://doi.org/10.1088/1748-9326/ab9fb0
42. Mechanism of haze pollution in summer and its difference with winter in the North China Plain Q. Li et al. https://doi.org/10.1016/j.scitotenv.2021.150625
43. Multi‐Index Attribution of Extreme Winter Air Quality in Beijing, China C. Callahan et al. https://doi.org/10.1029/2018JD029738
44. Understanding the mechanisms of coastal PM2.5 formation driven by land-sea breeze recirculation and ship emissions J. Yoo et al. https://doi.org/10.1016/j.envpol.2025.127483
45. Assessment of Meteorological Impact and Emergency Plan for a Heavy Haze Pollution Episode in a Core City of the North China Plain S. Ma et al. https://doi.org/10.4209/aaqr.2019.08.0392
46. Impacts of changes in climate, land use, and emissions on global ozone air quality by mid-21st century following selected Shared Socioeconomic Pathways H. Bhattarai et al. https://doi.org/10.1016/j.scitotenv.2023.167759
47. The Cross-Border Transport of PM2.5 from the Southeast Asian Biomass Burning Emissions and Its Impact on Air Pollution in Yunnan Plateau, Southwest China Q. Yang et al. https://doi.org/10.3390/rs14081886
48. Characteristics of the atmospheric boundary layer and its relation with PM2.5 during haze episodes in winter in the North China Plain Q. Li et al. https://doi.org/10.1016/j.atmosenv.2020.117265
49. Estimation of greenhouse gas emission factors based on observed covariance of CO2, CH4, N2O and CO mole fractions L. Haszpra et al. https://doi.org/10.1186/s12302-019-0277-y
50. Air stagnation in China: Spatiotemporal variability and differing impact on PM2.5 and O3 during 2013–2018 L. Wang et al. https://doi.org/10.1016/j.scitotenv.2021.152778
51. Assessing the Impacts of Climate Change on Meteorology and Air Stagnation in China Using a Dynamical Downscaling Method A. Hu et al. https://doi.org/10.3389/fenvs.2022.894887
52. Spatial Characteristics of PM2.5 Pollution among Cities and Policy Implication in the Northern Part of the North China Plain Y. Wang et al. https://doi.org/10.3390/atmos12010077
53. Modeling assessment of air pollution control measures and COVID-19 pandemic on air quality improvements over Greater Bay Area of China S. Wang et al. https://doi.org/10.1016/j.scitotenv.2024.171951
54. Evaluating the potential footprints of land use and land cover and climate dynamics on atmospheric pollution in Pakistan A. Dilawar et al. https://doi.org/10.3389/fenvs.2023.1272155
55. Critical factors influencing PM10 and PM2.5 pollution episodes and their associated particle chemical composition and mixing state in a coastal multisources area A. Waza et al. https://doi.org/10.1016/j.atmosenv.2025.121676
56. The significant impact of aerosol vertical structure on lower atmosphere stability and its critical role in aerosol–planetary boundary layer (PBL) interactions T. Su et al. https://doi.org/10.5194/acp-20-3713-2020
57. Long-term planetary boundary layer features and associated PM2.5 pollution anomalies in Beijing during the past 40 years Y. Yan et al. https://doi.org/10.1007/s00704-023-04356-w
58. Impacts of Meteorological Conditions on Autumn Surface Ozone During 2014–2020 in the Pearl River Delta, China J. Xu et al. https://doi.org/10.1029/2022EA002742
59. Constructing the 3D spatial distribution of PM2.5 concentrations during the 2022 Beijing Winter Olympics using LiDAR vertical observation networks and machine learning models Z. Wang et al. https://doi.org/10.1016/j.envint.2025.109875
60. Distinct responses of PM2.5 and O3 extremes to persistence of weather conditions in eastern China S. Liu et al. https://doi.org/10.1016/j.atmosenv.2023.119923
61. Recent Spatial and Temporal Analysis of Aerosol Optical Depth From MERRA-2 Over Borneo Island J. Sentian et al. https://doi.org/10.1007/s44408-025-00081-3