144 citations as recorded by crossref.

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3. Daily Local-Level Estimates of Ambient Wildfire Smoke PM2.5 for the Contiguous US M. Childs et al. 10.1021/acs.est.2c02934
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9. Spatially heterogeneous relationships of PM2.5 concentrations with natural and land use factors in the Niger River Watershed, West Africa L. Zhou et al. 10.1016/j.jclepro.2023.136406
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21. First Measurements of Carbonaceous Aerosol across Urban, Rural and Residential Areas in Jeddah City, Saudi Arabia I. Ismail et al. 10.5572/ajae.2021.021
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25. Modeling the Processing of Aerosol and Trace Gases in Clouds and Fogs B. Ervens 10.1021/cr5005887
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28. Seasonal distribution of PM2.5-bound polycyclic aromatic hydrocarbons as a critical indicator of air quality and health impact in a coastal-urban region of Poland P. Siudek 10.1016/j.scitotenv.2022.154375
29. Meteorological Influences on Seasonal Variation of Fine Particulate Matter in Cities over Southern Ontario, Canada J. Liu & S. Cui 10.1155/2014/169476
30. Organic and elemental carbon variation in PM2.5 over megacity Delhi and Bhubaneswar, a semi-urban coastal site in India S. Panda et al. 10.1007/s11069-015-2049-3
31. Meteorological conditions contributed to changes in dominant patterns of summer ozone pollution in Eastern China Z. Yin & X. Ma 10.1088/1748-9326/abc915
32. Roles of meteorological factors in inter-regional variations of fine and coarse PM concentrations over the Republic of Korea G. Lee et al. 10.1016/j.atmosenv.2021.118706
33. The relationship between teleworking, traffic and air pollution E. Giovanis 10.1016/j.apr.2017.06.004
34. Strong signatures of high-latitude blocks and subtropical ridges in winter PM10 over Europe J. Garrido-Perez et al. 10.1016/j.atmosenv.2017.08.004
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41. PM2.5 reductions in Chinese cities from 2013 to 2019 remain significant despite the inflating effects of meteorological conditions Q. Zhong et al. 10.1016/j.oneear.2021.02.003
42. Multi-scale correlations between air quality and meteorology in the Guangdong−Hong Kong−Macau Greater Bay Area of China during 2015–2017 X. Fang et al. 10.1016/j.atmosenv.2018.08.018
43. Temperature-Dependent Composition of Summertime PM2.5 in Observations and Model Predictions across the Eastern U.S. P. Vannucci et al. 10.1021/acsearthspacechem.3c00333
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50. Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions M. Qiu et al. 10.5194/acp-22-10551-2022
51. The influence of the Clean Air Actions on the health risk of atmospheric polycyclic aromatic hydrocarbons F. Zhu et al. 10.20517/jeea.2024.44
52. Understanding the Meteorological Drivers of U.S. Particulate Matter Concentrations in a Changing Climate J. Dawson et al. 10.1175/BAMS-D-12-00181.1
53. Impact of OA on the Temperature Dependence of PM 2.5 in the Los Angeles Basin C. Nussbaumer & R. Cohen 10.1021/acs.est.0c07144
54. Projection of near-future anthropogenic PM2.5 over India using statistical approach A. Upadhyay et al. 10.1016/j.atmosenv.2018.05.025
55. Response of Global Air Pollutant Emissions to Climate Change and Its Potential Effects on Human Life Expectancy Loss Q. Cheng et al. 10.3390/su11133670
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57. Synoptic meteorological modes of variability for fine particulate matter (PM2.5) air quality in major metropolitan regions of China D. Leung et al. 10.5194/acp-18-6733-2018
58. Differences in particulate matter concentrations between urban and rural regions under current and changing climate conditions A. Mues et al. 10.1016/j.atmosenv.2013.07.049
59. Role of emissions and meteorology in the recent PM2.5 changes in China and South Korea from 2015 to 2018 M. Bae et al. 10.1016/j.envpol.2020.116233
60. Evaluation of the Role of Self-cleaning Capacity on Marine Environmental Carrying Capacity: A Case of Ganh Rai Bay, Vietnam L. Bui & D. Tran 10.1007/s00244-023-00989-0
61. Strong Dependence of U.S. Summertime Air Quality on the Decadal Variability of Atlantic Sea Surface Temperatures L. Shen et al. 10.1002/2017GL075905
62. Relationship between recycling rate and air pollution: Waste management in the state of Massachusetts E. Giovanis 10.1016/j.wasman.2015.03.006
63. Separating Emission and Meteorological Drivers ofMid‐21st‐Century Air Quality Changes in IndiaBased on Multiyear Global‐RegionalChemistry‐Climate Simulations X. Wu et al. 10.1029/2019JD030988
64. A multiphase CMAQ version 5.0 adjoint S. Zhao et al. 10.5194/gmd-13-2925-2020
65. Temporalization of Peak Electric Generation Particulate Matter Emissions during High Energy Demand Days C. Farkas et al. 10.1021/es5050248
66. Impacts of current and climate induced changes in atmospheric stagnation on Indian surface PM2.5 pollution M. Zhou et al. 10.1038/s41467-024-51462-y
67. Communities of color are disproportionately exposed to long-term and short-term PM2.5 in metropolitan America T. Collins et al. 10.1016/j.envres.2022.114038
68. Quantifying the Impact of Synoptic Weather Systems on High PM2.5 Episodes in the Seoul Metropolitan Area, Korea L. Chang et al. 10.1029/2020JD034085
69. Varying Drivers of 2013–2017 Trends in PM2.5 Pollution over Different Regions in China Y. Tao et al. 10.3390/atmos15070789
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74. Extreme climate index estimation and projection in association with enviro-meteorological parameters using random forest-ARIMA hybrid model over the Vidarbha region, India N. Kumar & A. Middey 10.1007/s10661-022-10902-2
75. Effects of emissions change, climate change and long-range transport on regional modeling of future U.S. particulate matter pollution and speciation H. He et al. 10.1016/j.atmosenv.2018.02.020
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78. Using Bayesian spatio-temporal model to determine the socio-economic and meteorological factors influencing ambient PM2.5 levels in 109 Chinese cities J. Jin et al. 10.1016/j.envpol.2019.113023
79. A new approach for determining optimal placement of PM2.5air quality sensors: case study for the contiguous United States M. Kelp et al. 10.1088/1748-9326/ac548f
80. Particulate matter, air quality and climate: lessons learned and future needs S. Fuzzi et al. 10.5194/acp-15-8217-2015
81. Impacts of irrigation on ozone and fine particulate matter (PM2.5) air quality: implications for emission control strategies for intensively irrigated regions in China T. Yuan et al. 10.5194/acp-25-4211-2025
82. What rainfall rates are most important to wet removal of different aerosol types? Y. Wang et al. 10.5194/acp-21-16797-2021
83. Classification of weather patterns to study the influence of meteorological characteristics on PM2.5 concentrations in Yunlin County, Taiwan C. Hsu & F. Cheng 10.1016/j.atmosenv.2016.09.001
84. Dissecting PM sensor capabilities: A combined experimental and theoretical study on particle sizing and physicochemical properties X. Qin et al. 10.1016/j.envpol.2024.124354
85. Fine particulate matter (PM2.5) concentration in air pollution and its correlation with related factors - A case study in Hanoi city, Vietnam A. Hoang et al. 10.1088/1755-1315/1429/1/012016
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