230 citations as recorded by crossref.

1. Effects of synoptic weather on ground-level PM 2.5 concentrations in the United States Y. Liu et al. 10.1016/j.atmosenv.2016.10.052
2. Influence of Intermittent Turbulence on Air Pollution and Its Dispersion in Winter 2016/2017 over Beijing, China W. Wei et al. 10.1007/s13351-020-9128-4
3. Exploring secondary aerosol formation associated with elemental carbon in the lower free troposphere L. Li et al. 10.1016/j.scitotenv.2024.172992
4. Adverse effects of increasing drought on air quality via natural processes Y. Wang et al. 10.5194/acp-17-12827-2017
5. Sensitivity of PM2.5 and O3 pollution episodes to meteorological factors over the North China Plain S. Ma et al. 10.1016/j.scitotenv.2021.148474
6. Analysis of Airborne Particulate Matter (PM2.5) over Hong Kong Using Remote Sensing and GIS W. Shi et al. 10.3390/s120606825
7. Near-road air pollutant concentrations of CO and PM2.5: A comparison of MOBILE6.2/CALINE4 and generalized additive models K. Zhang & S. Batterman 10.1016/j.atmosenv.2010.02.008
8. Distinguishing Emission-Associated Ambient Air PM2.5 Concentrations and Meteorological Factor-Induced Fluctuations Q. Zhong et al. 10.1021/acs.est.8b02685
9. Effects of a changing climate on summertime fine particulate matter levels in the eastern U.S. M. Day & S. Pandis 10.1002/2014JD022889
10. Implications of East Asian summer and winter monsoons for interannual aerosol variations over central-eastern China X. Cheng et al. 10.1016/j.atmosenv.2016.01.037
11. Connections between summer air pollution and stagnation G. Kerr & D. Waugh 10.1088/1748-9326/aad2e2
12. 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
13. Climate responses to direct radiative forcing of anthropogenic aerosols, tropospheric ozone, and long-lived greenhouse gases in eastern China over 1951–2000 W. Chang et al. 10.1007/s00376-009-9032-4
14. Meteorological Influences on Seasonal Variation of Fine Particulate Matter in Cities over Southern Ontario, Canada J. Liu & S. Cui 10.1155/2014/169476
15. Response of winter fine particulate matter concentrations to emission and meteorology changes in North China M. Gao et al. 10.5194/acp-16-11837-2016
16. Developing and diagnosing climate change indicators of regional aerosol optical properties R. Sullivan et al. 10.1038/s41598-017-18402-x
17. Application of Moderate Resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Depth (AOD) and Weather Research Forecasting (WRF) model meteorological data for assessment of fine particulate matter (PM2.5) over India Y. Sathe et al. 10.1016/j.apr.2018.08.016
18. Contribution of Atmospheric Diffusion Conditions to the Recent Improvement in Air Quality in China X. Wang et al. 10.1038/srep36404
19. Reviewing the links and feedbacks between climate change and air pollution in Europe U. Im et al. 10.3389/fenvs.2022.954045
20. Meteorological modes of variability for fine particulate matter (PM<sub>2.5</sub>) air quality in the United States: implications for PM<sub>2.5</sub> sensitivity to climate change A. Tai et al. 10.5194/acp-12-3131-2012
21. Changes in Haze Trends in the Sichuan-Chongqing Region, China, 1980 to 2016 H. Cai et al. 10.3390/atmos9070277
22. Assessing the spatiotemporal characteristics of dry deposition flux in forests and wetlands L. Cong et al. 10.1080/09593330.2018.1543355
23. Synoptic meteorological modes of variability for fine particulate matter (PM<sub>2.5</sub>) air quality in major metropolitan regions of China D. Leung et al. 10.5194/acp-18-6733-2018
24. Differences in Meteorological Conditions between Days with Persistent and Non-Persistent Pollution in Beijing, China T. You et al. 10.1007/s13351-018-7086-x
25. Dominant variables of global air pollution-climate interaction: Geographic insight H. Feng et al. 10.1016/j.ecolind.2018.12.038
26. Source apportionment of PM2.5 and their associated metallic elements by positive matrix factorization at a traffic site in Constantine, Algeria L. Naidja et al. 10.1007/s11869-022-01241-9
27. Temporalization of Peak Electric Generation Particulate Matter Emissions during High Energy Demand Days C. Farkas et al. 10.1021/es5050248
28. Characteristics of Fine Particulate Matter (PM2.5) over Urban, Suburban, and Rural Areas of Hong Kong M. Bilal et al. 10.3390/atmos10090496
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. PM2.5 estimation using multiple linear regression approach over industrial and non-industrial stations of India P. Gogikar et al. 10.1007/s12652-020-02457-2
31. Chemical Characterization and Source Apportionment of PM2.5 near Semi-Urban Residential-Industrial Areas N. Dahari et al. 10.1007/s12403-021-00425-5
32. Urban Form, Air Pollution, and CO2Emissions in Large U.S. Metropolitan Areas B. Bereitschaft & K. Debbage 10.1080/00330124.2013.799991
33. Flexible Modeling of Variable Asymmetries in Cross-Covariance Functions for Multivariate Random Fields G. Qadir et al. 10.1007/s13253-020-00414-2
34. The effects of El Niño–Southern Oscillation on the winter haze pollution of China S. Zhao et al. 10.5194/acp-18-1863-2018
35. 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
36. Meteorology-driven PM2.5 interannual variability over East Asia C. Wang et al. 10.1016/j.scitotenv.2023.166911
37. 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
38. Determining the influence of different atmospheric circulation patterns on PM10 chemical composition in a source apportionment study M. Masiol et al. 10.1016/j.atmosenv.2012.09.025
39. Analog ensemble technique to post-process WRF-CAMx ozone and particulate matter forecasts E. Solomou et al. 10.1016/j.atmosenv.2021.118439
40. Source apportionment of PM2.5 nitrate and sulfate in China using a source-oriented chemical transport model H. Zhang et al. 10.1016/j.atmosenv.2012.08.014
41. Impact of fine particulate fluctuation and other variables on Beijing’s air quality index B. Chen et al. 10.1007/s11356-014-4024-z
42. A statistical method to estimate PM2.5concentrations from meteorology and its application to the effect of climate change È. Lecœur et al. 10.1002/2013JD021172
43. Sensitivity analysis of the surface ozone and fine particulate matter to meteorological parameters in China Z. Shi et al. 10.5194/acp-20-13455-2020
44. Observed and CMIP6-model-simulated organic aerosol response to drought in the contiguous United States during summertime W. Li & Y. Wang 10.5194/acp-24-9339-2024
45. Validation of mobile in situ measurements of dairy husbandry emissions by fusion of airborne/surface remote sensing with seasonal context from the Chino Dairy Complex I. Leifer et al. 10.1016/j.envpol.2018.03.078
46. The mechanisms and meteorological drivers of the summertime ozone–temperature relationship W. Porter & C. Heald 10.5194/acp-19-13367-2019
47. Comparison of PM2.5 Concentrations in Cities of Varying Population Size Across Mississippi, USA H. Nguyen et al. 10.1007/s11270-022-05612-x
48. The value of using seasonality and meteorological variables to model intra-urban PM2.5 variation H. Olvera Alvarez et al. 10.1016/j.atmosenv.2018.03.007
49. A Multi‐Dimensional Decomposition Method of the Meteorology‐Driven and Emission‐Driven Effects on Year‐to‐Year Air Quality Variations Y. Song et al. 10.1029/2020EA001424
50. Impact of Arctic Oscillation anomalies on winter PM2.5 in China via a numerical simulation S. Lu et al. 10.1016/j.scitotenv.2021.146390
51. Impacts of climate change on regional and urban air quality in the eastern United States: Role of meteorology J. Dawson et al. 10.1029/2008JD009849
52. Analysis of air quality in Dire Dawa, Ethiopia O. Kasim et al. 10.1080/10962247.2017.1413020
53. Variation of Indoor Particulate Matter Concentrations and Association with Indoor/Outdoor Temperature: A Case Study in Rural Limpopo, South Africa T. Kapwata et al. 10.3390/atmos9040124
54. Sulfate Aerosol in the Arctic: Source Attribution and Radiative Forcing Y. Yang et al. 10.1002/2017JD027298
55. A Comparison of Meteorology-Driven Interannual Variations of Surface Aerosol Concentrations in the Eastern United States, Eastern China, and Europe J. Feng et al. 10.2151/sola.2016-031
56. Sensitivity of atmospheric aerosol scavenging to precipitation intensity and frequency in the context of global climate change P. Hou et al. 10.5194/acp-18-8173-2018
57. Aerosol and boundary-layer interactions and impact on air quality Z. Li et al. 10.1093/nsr/nwx117
58. Summertime nitrate aerosol in the upper troposphere and lower stratosphere over the Tibetan Plateau and the South Asian summer monsoon region Y. Gu et al. 10.5194/acp-16-6641-2016
59. Estimating Ground-Level Particulate Matter in Five Regions of China Using Aerosol Optical Depth Q. Zeng et al. 10.3390/rs12050881
60. Difference of Airborne Particulate Matter Concentration in Urban Space with Different Green Coverage Rates in Baoji, China L. Qiu et al. 10.3390/ijerph16081465
61. Ground-level ozone in the Mekong Delta region: precursors, meteorological factors, and regional transport L. Bui & P. Nguyen 10.1007/s11356-022-23819-7
62. A semi-empirical model for predicting hourly ground-level fine particulate matter (PM2.5) concentration in southern Ontario from satellite remote sensing and ground-based meteorological measurements J. Tian & D. Chen 10.1016/j.rse.2009.09.011
63. Particulate matter, air quality and climate: lessons learned and future needs S. Fuzzi et al. 10.5194/acp-15-8217-2015
64. Simulation of in situ ultrafine particle formation in the eastern United States using PMCAMx‐UF J. Jung et al. 10.1029/2009JD012313
65. Foliar dust particle retention and metal accumulation of five garden tree species in Hangzhou: Seasonal changes N. Dang et al. 10.1016/j.envpol.2022.119472
66. Urban airborne matter in central and southern Chile: Effects of meteorological conditions on fine and coarse particulate matter M. Yáñez et al. 10.1016/j.atmosenv.2017.05.007
67. Assessing the value of air stagnation indices to reproduce PM10 variability in Europe J. Garrido-Perez et al. 10.1016/j.atmosres.2020.105258
68. The role of long-range transport and domestic emissions in determining atmospheric secondary inorganic particle concentrations across the UK M. Vieno et al. 10.5194/acp-14-8435-2014
69. Impact of the 2011 Southern U.S. Drought on Ground-Level Fine Aerosol Concentration in Summertime* Y. Wang et al. 10.1175/JAS-D-14-0197.1
70. Simulation of the interannual variations of aerosols in China: role of variations in meteorological parameters Q. Mu & H. Liao 10.5194/acp-14-9597-2014
71. The regulation effect of urban green space on air particulate matter concentration under different matrices in Xi'an city B. Jiang et al. 10.1007/s11869-024-01555-w
72. Short-term air quality forecasting model based on hybrid RF-IACA-BPNN algorithm D. Qiao et al. 10.1007/s11356-021-18355-9
73. Arctic sea ice, Eurasia snow, and extreme winter haze in China Y. Zou et al. 10.1126/sciadv.1602751
74. Impact of winter droughts on air pollution over Southwest China Y. Hu et al. 10.1016/j.scitotenv.2019.01.335
75. Statistical evaluation of the feasibility of satellite-retrieved cloud parameters as indicators of PM2.5 levels C. Yu et al. 10.1038/jes.2014.49
76. Comparison of four different types of planetary boundary layer heights during a haze episode in Beijing Y. Shi et al. 10.1016/j.scitotenv.2019.134928
77. A new approach to evaluate regional inequity determined by PM2.5 emissions and concentrations X. Chuai et al. 10.1016/j.jenvman.2020.111335
78. Spatio-temporal models to estimate daily concentrations of fine particulate matter in Montreal: Kriging with external drift and inverse distance-weighted approaches Y. Ramos et al. 10.1038/jes.2015.79
79. The impact of large-scale circulation on daily fine particulate matter (PM<sub>2.5</sub>) over major populated regions of China in winter Z. Jia et al. 10.5194/acp-22-6471-2022
80. Impact of 2000–2050 climate change on fine particulate matter (PM<sub>2.5</sub>) air quality inferred from a multi-model analysis of meteorological modes A. Tai et al. 10.5194/acp-12-11329-2012
81. Future climatic drivers and their effect on PM<sub>10</sub> components in Europe and the Mediterranean Sea A. Cholakian et al. 10.5194/acp-19-4459-2019
82. Development of a deep neural network for predicting 6 h average PM2.5 concentrations up to 2 subsequent days using various training data J. Lee et al. 10.5194/gmd-15-3797-2022
83. One year study of PM2.5 in Xinxiang city, North China: Seasonal characteristics, climate impact and source J. Feng et al. 10.1016/j.ecoenv.2018.01.048
84. Meteorological variables and PM10 exceedances effect on aerosol particles in a low emission zone using compositional data analysis A. Speranza & R. Caggiano 10.1016/j.gexplo.2023.107322
85. Radiative forcing and climate response to projected 21st century aerosol decreases D. Westervelt et al. 10.5194/acp-15-12681-2015
86. Impact of nitrogen and climate change interactions on ambient air pollution and human health J. Peel et al. 10.1007/s10533-012-9782-4
87. 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
88. Atmospheric composition change: Climate–Chemistry interactions I. Isaksen et al. 10.1016/j.atmosenv.2009.08.003
89. Important role of turbulent wind gust and its coherent structure in the rapid removal of urban air pollution Y. Shi et al. 10.1088/2515-7620/ac7c5f
90. Meteorological Influences on Spatiotemporal Variation of PM2.5 Concentrations in Atmospheric Pollution Transmission Channel Cities of the Beijing–Tianjin–Hebei Region, China S. Wang et al. 10.3390/ijerph19031607
91. The blocking effect of atmospheric particles by forest and wetland at different air quality grades in Beijing China L. Cong et al. 10.1080/09593330.2018.1561759
92. Evaluation of the Influence between Local Meteorology and Air Quality in Beijing Using Generalized Additive Models K. Hou & X. Xu 10.3390/atmos13010024
93. Remote sensing and in situ measurements of methane and ammonia emissions from a megacity dairy complex: Chino, CA I. Leifer et al. 10.1016/j.envpol.2016.09.083
94. Comparison of dry and wet deposition of particulate matter in near-surface waters during summer Y. Wu et al. 10.1371/journal.pone.0199241
95. The Effects of Anthropogenic Heat Release on Urban Meteorology and Implication for Haze Pollution in the Beijing-Tianjin-Hebei Region R. Liu & Z. Han 10.1155/2016/6178308
96. Satellite-based PM2.5 estimation using fine-mode aerosol optical thickness over China X. Yan et al. 10.1016/j.atmosenv.2017.09.023
97. The pollution characteristics of PM2.5 and correlation analysis with meteorological parameters in Xinxiang during the Shanghai Cooperation Organization Prime Ministers’ Meeting J. Feng et al. 10.1007/s10653-017-9976-8
98. Estimating PM2.5 in Xi'an, China using aerosol optical depth: A comparison between the MODIS and MISR retrieval models W. You et al. 10.1016/j.scitotenv.2014.11.024
99. Impacts of Asian summer monsoon on seasonal and interannual variations of aerosols over eastern China L. Zhang et al. 10.1029/2009JD012299
100. Heavy air pollution with a unique “non-stagnant” atmospheric boundary layer in the Yangtze River middle basin aggravated by regional transport of PM<sub>2.5</sub> over China C. Yu et al. 10.5194/acp-20-7217-2020
101. Fuzzy-based missing value imputation technique for air pollution data A. Mustafi et al. 10.1007/s10462-022-10168-7
102. 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. 10.3390/rs14081886
103. Correlation analysis of size-resolved airborne particulate matter with classified meteorological conditions M. Nguyen et al. 10.1007/s00703-016-0456-y
104. The Reducing Effect of Green Spaces with Different Vegetation Structure on Atmospheric Particulate Matter Concentration in BaoJi City, China L. Qiu et al. 10.3390/atmos9090332
105. Comparative evaluation of the impact of WRF/NMM and WRF/ARW meteorology on CMAQ simulations for PM<sub>2.5</sub> and its related precursors during the 2006 TexAQS/GoMACCS study S. Yu et al. 10.5194/acp-12-4091-2012
106. Relationship between intraseasonal variations of air pollution and meteorological variables in Hong Kong W. Fung & R. Wu 10.1080/19475683.2014.945480
107. Dynamic evaluation of a multi-year model simulation of particulate matter concentrations over Europe È. Lecœur & C. Seigneur 10.5194/acp-13-4319-2013
108. Impacts of East Asian winter monsoon circulation on interannual variability of winter haze days in Guangdong Province Z. Zhang et al. 10.1016/j.atmosres.2023.106793
109. WRF-Chem Simulation for Modeling Seasonal Variations and Distributions of Aerosol Pollutants over the Middle East M. Shahid et al. 10.3390/rs13112112
110. Salt Lake Aerosol Overview: Emissions, Chemical Composition and Health Impacts under the Changing Climate M. Abbas et al. 10.3390/atmos15020212
111. Estimation of PM2.5 Concentrations in New York State: Understanding the Influence of Vertical Mixing on Surface PM2.5 Using Machine Learning W. Hung et al. 10.3390/atmos11121303
112. Wintertime investigation of PM10 concentrations, sources, and relationship with different meteorological parameters B. Zeb et al. 10.1038/s41598-023-49714-w
113. Assessment of MERRA-2 Surface PM2.5 over the Yangtze River Basin: Ground-based Verification, Spatiotemporal Distribution and Meteorological Dependence L. He et al. 10.3390/rs11040460
114. Linking climate and air quality over Europe: effects of meteorology on PM<sub>2.5</sub> concentrations A. Megaritis et al. 10.5194/acp-14-10283-2014
115. Investigation on particulate matter 2.5 (PM2.5) for the past two decades in the central part of Iran, using background meteorological parameters F. Fazel-Rastgar & V. Sivakumar 10.1007/s12517-021-08485-2
116. Semiparametric estimation of cross‐covariance functions for multivariate random fields G. Qadir & Y. Sun 10.1111/biom.13323
117. Ambient particulate air pollution (PM2.5) is associated with the ratio of type 2 diabetes to obesity M. Mazidi & J. Speakman 10.1038/s41598-017-08287-1
118. Estimation of Anisotropic, Time‐Varying Spatial Spillovers of Fine Particulate Matter Due to Wind Direction M. Merk & P. Otto 10.1111/gean.12205
119. Secondary PM2.5 dominates aerosol pollution in the Yangtze River Delta region: Environmental and health effects of the Clean air Plan N. Li et al. 10.1016/j.envint.2022.107725
120. Effect of climate change on air quality D. Jacob & D. Winner 10.1016/j.atmosenv.2008.09.051
121. Impact of climate change on mercury concentrations and deposition in the eastern United States A. Megaritis et al. 10.1016/j.scitotenv.2014.03.084
122. High Resolution Air Quality Forecasting over Prague within the URBI PRAGENSI Project: Model Performance during the Winter Period and the Effect of Urban Parameterization on PM J. Ďoubalová et al. 10.3390/atmos11060625
123. Variable selection for functional linear models with strong heredity constraint S. Feng et al. 10.1007/s10463-021-00798-z
124. Impacts of multi-scale urban form on PM2.5 concentrations using continuous surface estimates with high-resolution in U.S. metropolitan areas C. Lee 10.1016/j.landurbplan.2020.103935
125. Investigating the observed sensitivities of air-quality extremes to meteorological drivers via quantile regression W. Porter et al. 10.5194/acp-15-10349-2015
126. The effect of temperature and humidity of air on the concentration of particulate matter - PM2.5 and PM10 E. Zender-Świercz et al. 10.1016/j.atmosres.2024.107733
127. Analysis of the Characteristics and Evolution Modes of PM2.5 Pollution Episodes in Beijing, China During 2013 C. Song et al. 10.3390/ijerph120201099
128. Development of risk-based air quality management strategies under impacts of climate change K. Liao et al. 10.1080/10962247.2012.662928
129. The impact of weather changes on air quality and health in the United States in 1994–2012 I. Jhun et al. 10.1088/1748-9326/10/8/084009
130. 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
131. Response of the particulate matter capture ability to leaf age and pollution intensity X. Niu et al. 10.1007/s11356-020-09603-5
132. Characterisation of particle mass and number concentration on the east coast of the Malaysian Peninsula during the northeast monsoon D. Dominick et al. 10.1016/j.atmosenv.2015.07.018
133. Influence of 2000–2050 climate change on particulate matter in the United States: results from a new statistical model L. Shen et al. 10.5194/acp-17-4355-2017
134. Increase in winter haze over eastern China in recent decades: Roles of variations in meteorological parameters and anthropogenic emissions Y. Yang et al. 10.1002/2016JD025136
135. Meteorology-driven variability of air pollution (PM<sub>1</sub>) revealed with explainable machine learning R. Stirnberg et al. 10.5194/acp-21-3919-2021
136. Effect of changes in climate and emissions on future sulfate‐nitrate‐ammonium aerosol levels in the United States H. Pye et al. 10.1029/2008JD010701
137. Urban Air Pollution in Taiwan before and after the Installation of a Mass Rapid Transit System P. Ding et al. 10.2134/jeq2015.08.0432
138. Impact of urban canopy meteorological forcing on aerosol concentrations P. Huszar et al. 10.5194/acp-18-14059-2018
139. Measuring and Quantifying Impacts of Environmental Parameters on Airborne Particulate Matter in Under-Viaducts Spaces in Wuhan, China L. Yin et al. 10.3390/ijerph18105197
140. Atmospheric levels and health risk of polycyclic aromatic hydrocarbons (PAHs) bound to PM 2.5 in Guangzhou, China J. Liu et al. 10.1016/j.marpolbul.2015.09.014
141. What rainfall rates are most important to wet removal of different aerosol types? Y. Wang et al. 10.5194/acp-21-16797-2021
142. Effectiveness of Precursor Emission Reductions for the Control of Summertime Ozone and PM2.5 in the Beijing–Tianjin–Hebei Region under Different Meteorological Conditions J. Qian & H. Liao 10.1007/s00376-024-4071-4
143. Multi‐Index Attribution of Extreme Winter Air Quality in Beijing, China C. Callahan et al. 10.1029/2018JD029738
144. Measurements and analysis of air quality in Islamabad, Pakistan A. Rasheed et al. 10.1002/2013EF000174
145. Teleconnection between the Asian Polar Vortex and surface PM2.5 in China L. Zhou et al. 10.1038/s41598-020-76414-6
146. Simulated contrasting influences of two La Niña Modoki events on aerosol concentrations over eastern China J. Feng et al. 10.1002/2016JD026175
147. Impact of biogenic emissions on ozone and fine particles over Europe: Comparing effects of temperature increase and a potential anthropogenic NOx emissions abatement strategy E. Tagaris et al. 10.1016/j.atmosenv.2014.08.056
148. Threshold Effects of PM2.5 Exposure on Particle-Related Mortality in China B. Tran et al. 10.3390/ijerph16193549
149. Aerosol concentrations variability over China: two distinct leading modes J. Feng et al. 10.5194/acp-20-9883-2020
150. The effects of global change upon United States air quality R. Gonzalez-Abraham et al. 10.5194/acp-15-12645-2015
151. The role of nitrogen in climate change and the impacts of nitrogen–climate interactions in the United States: foreword to thematic issue E. Suddick et al. 10.1007/s10533-012-9795-z
152. The association between season, day length, and temperature on clinical outcomes after cryopreserved embryo transfer K. Correia et al. 10.1016/j.fertnstert.2021.11.014
153. Day-of-week and seasonal patterns of PM2.5 concentrations over the United States: Time-series analyses using the Prophet procedure N. Zhao et al. 10.1016/j.atmosenv.2018.08.050
154. Summertime aerosol chemical composition in the Eastern Mediterranean and its sensitivity to temperature U. Im et al. 10.1016/j.atmosenv.2011.12.044
155. Effects of the meteorological variability on regional air quality in East Asia J. Jeong & R. Park 10.1016/j.atmosenv.2012.11.061
156. The Relationships between PM2.5 and Meteorological Factors in China: Seasonal and Regional Variations Q. Yang et al. 10.3390/ijerph14121510
157. Seasonal changes in the recent decline of combined high PM2.5 and O3 pollution and associated chemical and meteorological drivers in the Beijing–Tianjin–Hebei region, China Y. Luo et al. 10.1016/j.scitotenv.2022.156312
158. A nonlinear model for estimating ground-level PM10 concentration in Xi'an using MODIS aerosol optical depth retrieval W. You et al. 10.1016/j.atmosres.2015.09.008
159. Summertime response of ozone and fine particulate matter to mixing layer meteorology over the North China Plain J. Wang et al. 10.5194/acp-23-14715-2023
160. Differences in Airborne Particulate Matter Concentration in Urban Green Spaces with Different Spatial Structures in Xi’an, China B. Jiang et al. 10.3390/f13010014
161. Spatiotemporal variations of PM2.5 concentration at the neighborhood level in five Chinese megacities F. Dai et al. 10.1016/j.apr.2020.03.010
162. Computational fluid dynamics simulation of reactive fine particulate matter in a street canyon M. Kim et al. 10.1016/j.atmosenv.2019.04.013
163. Modelling the effects of climate change on air quality over Central and Eastern Europe: concept, evaluation and projections K. Juda-Rezler et al. 10.3354/cr01072
164. Spatiotemporal Associations between PM2.5 and SO2 as well as NO2 in China from 2015 to 2018 K. Li & K. Bai 10.3390/ijerph16132352
165. Influences of El Niño on aerosol concentrations over eastern China J. Feng et al. 10.1002/asl.674
166. Geographic Graph Network for Robust Inversion of Particulate Matters L. Li 10.3390/rs13214341
167. Autoregressive spatially varying coefficients model for predicting daily PM<sub>2.5</sub> using VIIRS satellite AOT E. Schliep et al. 10.5194/ascmo-1-59-2015
168. The Correlation Between COVID-19 Activities and Climate Factors in Different Climate Types Areas Z. Liu et al. 10.1097/JOM.0000000000002274
169. An increase in aerosol burden and radiative effects in a warmer world R. Allen et al. 10.1038/nclimate2827
170. Partitioning of NH3-NH4+ in the Southeastern U.S. B. Cheng et al. 10.3390/atmos12121681
171. Isolating the Meteorological Impact of 21st Century GHG Warming on the Removal and Atmospheric Loading of Anthropogenic Fine Particulate Matter Pollution at Global Scale Y. Xu & J. Lamarque 10.1002/2017EF000684
172. Evaluation and potential improvements of WRF/CMAQ in simulating multi-levels air pollution in megacity Shanghai, China J. Tan et al. 10.1007/s00477-016-1342-3
173. Winter monsoon variability and its impact on aerosol concentrations in East Asia J. Jeong & R. Park 10.1016/j.envpol.2016.11.075
174. The carbon number-polarity grid: A means to manage the complexity of the mix of organic compounds when modeling atmospheric organic particulate matter J. Pankow & K. Barsanti 10.1016/j.atmosenv.2008.12.050
175. Determination of the age distribution of primary and secondary aerosol species using a chemical transport model K. Wagstrom & S. Pandis 10.1029/2009JD011784
176. Estimation of Particulate Matter (PM2.5) Over Kolkata J. Singh et al. 10.1007/s00024-023-03418-4
177. Characterization of speciated aerosol direct radiative forcing over California C. Zhao et al. 10.1029/2012JD018364
178. Impact of meteorology on fine aerosols at Lucas Heights, Australia J. Crawford et al. 10.1016/j.atmosenv.2016.09.025
179. Examining the influences of air quality in China's cities using multi‐scale geographically weighted regression A. Fotheringham et al. 10.1111/tgis.12580
180. Scale- and Region-Dependence in Landscape-PM2.5 Correlation: Implications for Urban Planning H. Feng et al. 10.3390/rs9090918
181. Crop Residue Burning in Northeast China and Its Impact on PM2.5 Concentrations in South Korea J. Lee et al. 10.3390/atmos12091212
182. Impact analysis of meteorological variables on PM2.5 pollution in the most polluted cities in China J. Wang et al. 10.1016/j.heliyon.2023.e17609
183. An Ensemble Spatiotemporal Model for Predicting PM2.5 Concentrations L. Li et al. 10.3390/ijerph14050549
184. Modeling study of aerosol-meteorology feedback during winter haze events over the north China plain J. Li et al. 10.1016/j.apr.2021.101311
185. A quantitative analysis of grid nudging effect on each process of PM 2.5 production in the Korean Peninsula W. Jeon et al. 10.1016/j.atmosenv.2015.10.050
186. Assessment of airborne particles and bioaerosols concentrations in a waste recycling environment in Brazil C. Wikuats et al. 10.1038/s41598-020-71787-0
187. Effect of farm Hazard Analysis and Critical Control Point (farm HACCP) certification efforts on emissions of volatile organic compounds from livestock sheds in Japan N. Tanaka et al. 10.1111/asj.13908
188. The relationship between PM<sub>2.5</sub> and anticyclonic wave activity during summer over the United States Y. Wang et al. 10.5194/acp-22-7575-2022
189. PM2.5 levels, chemical composition and health risk assessment in Xinxiang, a seriously air-polluted city in North China J. Feng et al. 10.1007/s10653-016-9874-5
190. Spatio-temporal variations in PM leaf deposition: A meta-analysis M. Cai et al. 10.1016/j.envpol.2017.07.105
191. Meteorological factor contributions to the seesaw concentration pattern between PM2.5 and O3 in Shanghai Y. Sun & X. Wang 10.3389/fenvs.2022.1015723
192. Meteorological Influence and Chemical Compositions of Atmospheric Particulate Matters in an Indian Urban Area S. Rabha et al. 10.1021/acsearthspacechem.1c00037
193. The impact of monthly variation of the Pacific–North America (PNA) teleconnection pattern on wintertime surface-layer aerosol concentrations in the United States J. Feng et al. 10.5194/acp-16-4927-2016
194. Air pollution inputs to the Mojave Desert by fusing surface mobile and airborne in situ and airborne and satellite remote sensing: A case study of interbasin transport with numerical model validation I. Leifer et al. 10.1016/j.atmosenv.2019.117184
195. The spatial and seasonal complexity of PM2.5 pollution in cities from a social-ecological perspective X. Zhao et al. 10.1016/j.jclepro.2021.127476
196. Temporal-Spatial Trends of Atmospheric Air Pollution of Anhui Province within the First Quarter of 2015-Based on the Analysis of Daily Average Concentrations 秀. 倪 10.12677/AEP.2017.71003
197. Future trends in ambient air pollution and climate in Germany – Implications for the indoor environment T. Salthammer et al. 10.1016/j.buildenv.2018.07.050
198. Air Quality and Climate Connections A. Fiore et al. 10.1080/10962247.2015.1040526
199. Seasonal variation, temperature, day length, and IVF outcomes from fresh cycles L. Farland et al. 10.1007/s10815-020-01915-2
200. Quantifying the influence of local meteorology on air quality using generalized additive models J. Pearce et al. 10.1016/j.atmosenv.2010.11.051
201. Predicted changes in summertime organic aerosol concentrations due to increased temperatures M. Day & S. Pandis 10.1016/j.atmosenv.2011.08.028
202. Modeling the energy balance in Marseille: Sensitivity to roughness length parameterizations and thermal admittance M. Demuzere et al. 10.1029/2007JD009113
203. Does administrative division adjustment reduce air pollution? Evidence from city-county mergers in China K. Lv et al. 10.1016/j.eap.2024.09.031
204. A low-order coupled chemistry meteorology model for testing online and offline data assimilation schemes: L95-GRS (v1.0) J. Haussaire & M. Bocquet 10.5194/gmd-9-393-2016
205. Estimation of ultrahigh resolution PM2.5 concentrations in urban areas using 160 m Gaofen-1 AOD retrievals T. Zhang et al. 10.1016/j.rse.2018.06.030
206. Comprehensive chemical characterisation of size-segregated PM10 in Dresden and estimation of changes due to global warming S. Scheinhardt et al. 10.1016/j.atmosenv.2013.04.059
207. 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. 10.1016/j.scitotenv.2024.174611
208. Impact of global climate change on ozone, particulate matter, and secondary organic aerosol concentrations in California: A model perturbation analysis J. Horne & D. Dabdub 10.1016/j.atmosenv.2016.12.049
209. Long-term size-segregated particle (PM10, PM2.5, PM1) characterization study at Melpitz -- influence of air mass inflow, weather conditions and season G. Spindler et al. 10.1007/s10874-013-9263-8
210. A satellite-based geographically weighted regression model for regional PM2.5 estimation over the Pearl River Delta region in China W. Song et al. 10.1016/j.rse.2014.08.008
211. What factors control the trend of increasing AAOD over the United States in the last decade? L. Zhang et al. 10.1002/2016JD025472
212. Variation and dispersal of PM10 and PM2.5 during COVID-19 lockdown over Kolkata metropolitan city, India investigated through HYSPLIT model B. Bera et al. 10.1016/j.gsf.2021.101291
213. Aerosol radiative effects and feedbacks on boundary layer meteorology and PM<sub>2.5</sub> chemical components during winter haze events over the Beijing-Tianjin-Hebei region J. Li et al. 10.5194/acp-20-8659-2020
214. Characteristics of atmospheric PM2.5 in stands and non-forest cover sites across urban-rural areas in Beijing, China B. Chen et al. 10.1007/s11252-016-0533-5
215. Reducing human health impacts from power sector emissions with redispatch and energy storage Q. Luo et al. 10.1088/2634-4505/ac20b3
216. The impacts of coal plants relocation on the concentration of fine particulate matter in China D. Mou et al. 10.1177/0958305X16667349
217. The impacts of changing transport and precipitation on pollutant distributions in a future climate Y. Fang et al. 10.1029/2011JD015642
218. Simulation of aerosols and gas-phase species over Europe with the Polyphemus system. Part II: Model sensitivity analysis for 2001 Y. Roustan et al. 10.1016/j.atmosenv.2010.07.005
219. Effects of urban green space morphological pattern on variation of PM2.5 concentration in the neighborhoods of five Chinese megacities M. Chen et al. 10.1016/j.buildenv.2019.04.058
220. Effect of Meteorological Variability on Fine Particulate Matter Simulations Over the Contiguous United States R. Kumar et al. 10.1029/2018JD029637
221. Modeling the Processing of Aerosol and Trace Gases in Clouds and Fogs B. Ervens 10.1021/cr5005887
222. Multi-Scale Effects of Meteorological Conditions and Anthropogenic Emissions on PM2.5 Concentrations over Major Cities of the Yellow River Basin J. Zhang et al. 10.3390/ijerph192215060
223. Impact of urban morphology on the spatial and temporal distribution of PM2.5 concentration: A numerical simulation with WRF/CMAQ model in Wuhan, China H. Xu & H. Chen 10.1016/j.jenvman.2021.112427
224. Assimilation of lidar signals: application to aerosol forecasting in the western Mediterranean basin Y. Wang et al. 10.5194/acp-14-12031-2014
225. Investigations on meteorological conditions for elevated PM2.5 in Fairbanks, Alaska H. Tran & N. Mölders 10.1016/j.atmosres.2010.08.028
226. Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes X. Li et al. 10.1016/j.atmosenv.2019.117181
227. Satellite-based separation of climatic and surface influences on global aerosol change H. Feng & B. Zou 10.1080/01431161.2020.1731934
228. Climate change impacts on human health over Europe through its effect on air quality R. Doherty et al. 10.1186/s12940-017-0325-2
229. Seasonality of speciated aerosol transport over the Great Lakes region S. Spak & T. Holloway 10.1029/2008JD010598
230. Evaluation of a three‐dimensional chemical transport model (PMCAMx) in the eastern United States for all four seasons V. Karydis et al. 10.1029/2006JD007890