Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism.

[1]  Hao Zhang,et al.  Characteristics and meteorological mechanisms of transboundary air pollution in a persistent heavy PM2.5 pollution episode in Central-East China , 2020 .

[2]  Yuesi Wang,et al.  The formation mechanism of air pollution episodes in Beijing city: Insights into the measured feedback between aerosol radiative forcing and the atmospheric boundary layer stability. , 2019, The Science of the total environment.

[3]  Jianping Guo,et al.  Synoptic circulation pattern and boundary layer structure associated with PM2.5 during wintertime haze pollution episodes in Shanghai , 2019, Atmospheric Research.

[4]  Xiao‐Ming Hu,et al.  Impact of planetary boundary layer structure on the formation and evolution of air-pollution episodes in Shenyang, Northeast China , 2019, Atmospheric Environment.

[5]  Youwei Hong,et al.  The air pollution governed by subtropical high in a coastal city in Southeast China: Formation processes and influencing mechanisms. , 2019, The Science of the total environment.

[6]  Jizhi Wang,et al.  The ‘two-way feedback mechanism’ between unfavorable meteorological conditions and cumulative PM2.5 mass existing in polluted areas south of Beijing , 2019, Atmospheric Environment.

[7]  Hui Xu,et al.  Shift in the Temporal Trend of Boundary Layer Height in China Using Long‐Term (1979–2016) Radiosonde Data , 2019, Geophysical Research Letters.

[8]  Hui Xu,et al.  On the Relationship Between Aerosol and Boundary Layer Height in Summer in China Under Different Thermodynamic Conditions , 2019, Earth and Space Science.

[9]  Jianping Guo,et al.  Preliminary Evaluation of the Atmospheric Infrared Sounder Water Vapor Over China Against High‐Resolution Radiosonde Measurements , 2019, Journal of Geophysical Research: Atmospheres.

[10]  Wei Wang,et al.  Aerosol hygroscopic growth, contributing factors, and impact on haze events in a severely polluted region in northern China , 2019, Atmospheric Chemistry and Physics.

[11]  Richard T Burnett,et al.  Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors. , 2019, Environmental science & technology.

[12]  Hong Wang,et al.  Satellite-derived PM2.5 concentration trends over Eastern China from 1998 to 2016: Relationships to emissions and meteorological parameters. , 2019, Environmental pollution.

[13]  Yu Zheng,et al.  A modelling study of the terrain effects on haze pollution in the Sichuan Basin , 2019, Atmospheric Environment.

[14]  Jianping Guo,et al.  Temperature inversions in severe polluted days derived from radiosonde data in North China from 2011 to 2016. , 2019, The Science of the total environment.

[15]  Yuqi Bai,et al.  National PM2.5 and NO2 exposure models for China based on land use regression, satellite measurements, and universal kriging. , 2018, The Science of the total environment.

[16]  Jianping Guo,et al.  Elucidating the relationship between aerosol concentration and summertime boundary layer structure in central China. , 2018, Environmental pollution.

[17]  Jianping Guo,et al.  Inter‐annual variation of the spring haze pollution over the North China Plain: Roles of atmospheric circulation and sea surface temperature , 2018, International Journal of Climatology.

[18]  Zhong Ma,et al.  Spatial-temporal patterns of PM2.5 concentrations for 338 Chinese cities. , 2018, The Science of the total environment.

[19]  P. Shi,et al.  Shift of daily rainfall peaks over the Beijing–Tianjin–Hebei region: An indication of pollutant effects? , 2018, International Journal of Climatology.

[20]  D. Hagen,et al.  Application of a hygroscopicity tandem differential mobility analyzer for characterizing PM emissions in exhaust plumes from an aircraft engine burning conventional and alternative fuels , 2018, Atmospheric Chemistry and Physics.

[21]  Jian-hua Wang,et al.  Spatio-temporal variation of potential evapotranspiration and climatic drivers in the Jing-Jin-Ji region, North China , 2018, Agricultural and Forest Meteorology.

[22]  O. Myers,et al.  The value of using seasonality and meteorological variables to model intra-urban PM2.5 variation. , 2018, Atmospheric environment.

[23]  Xiangde Xu,et al.  The characteristics of abnormal wintertime pollution events in the Jing-Jin-Ji region and its relationships with meteorological factors. , 2018, The Science of the total environment.

[24]  Tao Wang,et al.  Polycyclic aromatic hydrocarbons (PAHs) associated with PM2.5 within boundary layer: Cloud/fog and regional transport. , 2018, The Science of the total environment.

[25]  Ziyue Chen,et al.  Ground ozone concentrations over Beijing from 2004 to 2015: Variation patterns, indicative precursors and effects of emission-reduction. , 2018, Environmental pollution.

[26]  Hao Zhang,et al.  Impact of synoptic weather patterns on 24 h-average PM2.5 concentrations in the North China Plain during 2013-2017. , 2018, The Science of the total environment.

[27]  K. Cen,et al.  Assessment of winter air pollution episodes using long-range transport modeling in Hangzhou, China, during World Internet Conference, 2015. , 2018, Environmental pollution.

[28]  Particle size distribution, chemical composition and meteorological factor analysis: A case study during wintertime snow cover in Zhengzhou, China , 2018 .

[29]  Chuanfeng Zhao,et al.  Impact of aerosols on tropical cyclone-induced precipitation over the mainland of China , 2018, Climatic Change.

[30]  Ming Luo,et al.  Trans-boundary air pollution in a city under various atmospheric conditions. , 2018, The Science of the total environment.

[31]  Yu Song,et al.  Characteristics of Turbulent Transfer during Episodes of Heavy Haze Pollution in Beijing in Winter 2016/17 , 2018, Journal of Meteorological Research.

[32]  Zhenyi Chen,et al.  Vertical Distribution Characteristics of PM2.5 Observed by a Mobile Vehicle Lidar in Tianjin, China in 2016 , 2018, Journal of Meteorological Research.

[33]  F. Duan,et al.  Characteristics and formation of typical winter haze in Handan, one of the most polluted cities in China. , 2018, The Science of the total environment.

[34]  Ziwei Shang,et al.  Characteristics of air pollution in different zones of Sichuan Basin, China. , 2018, The Science of the total environment.

[35]  Shuiyuan Cheng,et al.  Characteristics and classification of PM2.5 pollution episodes in Beijing from 2013 to 2015. , 2018, The Science of the total environment.

[36]  H. Fu,et al.  Observations of atmospheric pollutants at Lhasa during 2014-2015: Pollution status and the influence of meteorological factors. , 2017, Journal of environmental sciences.

[37]  Characteristics and formation mechanism of regional haze episodes in the Pearl River Delta of China. , 2017, Journal of environmental sciences.

[38]  Lei Jiang,et al.  Spatio-temporal characteristics of urban air pollutions and their causal relationships: Evidence from Beijing and its neighboring cities , 2018, Scientific Reports.

[39]  Qiang Zhang,et al.  Enhancement of PM2.5 Concentrations by Aerosol‐Meteorology Interactions Over China , 2017 .

[40]  Guangming Zeng,et al.  Characteristics of Particulate Pollution (PM 2.5 and PM 10 ) and Their Spacescale-Dependent Relationships with Meteorological Elements in China , 2017 .

[41]  X. Tie,et al.  Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study , 2017 .

[42]  Yanjun Ma,et al.  Temporal and spatial analyses of particulate matter (PM10 and PM2.5) and its relationship with meteorological parameters over an urban city in northeast China , 2017 .

[43]  Jing Chen,et al.  Seasonal variation and potential source regions of PM2.5-bound PAHs in the megacity Beijing, China: Impact of regional transport. , 2017, Environmental pollution.

[44]  Renjian Zhang,et al.  Roles of regional transport and heterogeneous reactions in the PM2.5 increase during winter haze episodes in Beijing. , 2017, The Science of the total environment.

[45]  Yu Song,et al.  On the Summertime Planetary Boundary Layer with Different Thermodynamic Stability in China: A Radiosonde Perspective , 2017 .

[46]  Zhanqing Li,et al.  Aerosol and boundary-layer interactions and impact on air quality , 2017 .

[47]  Zifa Wang,et al.  Model elucidating the sources and formation mechanisms of severe haze pollution over Northeast mega-city cluster in China. , 2017, Environmental pollution.

[48]  Jing He,et al.  Trans-Pacific transport of dust aerosols from East Asia: Insights gained from multiple observations and modeling. , 2017, Environmental pollution.

[49]  A. Cai,et al.  Spatio-temporal variability of particulate matter in the key part of Gansu Province, Western China. , 2017, Environmental pollution.

[50]  Huarong Zhao,et al.  Relative contributions of boundary-layer meteorological factors to the explosive growth of PM2.5 during the red-alert heavy pollution episodes in Beijing in December 2016 , 2017, Journal of Meteorological Research.

[51]  G. Carmichael,et al.  Distinguishing the roles of meteorology, emission control measures, regional transport, and co-benefits of reduced aerosol feedbacks in “APEC Blue” , 2017 .

[52]  L. Yao Causative impact of air pollution on evapotranspiration in the North China Plain , 2017, Environmental research.

[53]  Q. Yao,et al.  The role of fog in haze episode in Tianjin, China: A case study for November 2015 , 2017 .

[54]  Cheng Liu,et al.  Feedback effects of boundary-layer meteorological factors on cumulative explosive growth of PM 2.5 during winter heavy pollution episodes in Beijing from 2013 to 2016 , 2017 .

[55]  Jing He,et al.  Relay transport of aerosols to Beijing-Tianjin-Hebei region by multi-scale atmospheric circulations , 2017 .

[56]  Lei Tong,et al.  Identifying the impacts of climate on the regional transport of haze pollution and inter-cities correspondence within the Yangtze River Delta. , 2017, Environmental pollution.

[57]  Jun Yu Li,et al.  Assessment of carbonaceous aerosols in Shanghai, China - Part 1: long-term evolution, seasonal variations, and meteorological effects , 2017 .

[58]  Liang-pei Zhang,et al.  The Relationships between PM2.5 and Meteorological Factors in China: Seasonal and Regional Variations , 2017, International journal of environmental research and public health.

[59]  Congbo Song,et al.  Influences of meteorological conditions on interannual variations of particulate matter pollution during winter in the Beijing–Tianjin–Hebei area , 2017, Journal of Meteorological Research.

[60]  Spatio-temporal distribution of localized aerosol loading in China: A satellite view , 2017 .

[61]  Yong-liang Ma,et al.  Characteristics of the secondary water-soluble ions in a typical autumn haze in Beijing. , 2017, Environmental pollution.

[62]  Danlu Chen,et al.  Understanding meteorological influences on PM 2.5 concentrations across China: a temporal and spatial perspective , 2017 .

[63]  Peng Gao,et al.  Study of PBLH and Its Correlation with Particulate Matter from One-Year Observation over Nanjing, Southeast China , 2017, Remote. Sens..

[64]  R. Wu,et al.  Regional meteorological patterns for heavy pollution events in Beijing , 2017, Journal of Meteorological Research.

[65]  Robert E. Dickinson,et al.  PM2.5 Pollution in China and How It Has Been Exacerbated by Terrain and Meteorological Conditions , 2017 .

[66]  Tianhang Zhang,et al.  Quantifying the relationship between PM 2.5 concentration, visibility and planetary boundary layer height for long-lasting haze and fog–haze mixed events in Beijing , 2017 .

[67]  Minjing Li,et al.  Ambient precursor gaseous pollutants and meteorological conditions controlling variations of particulate matter concentrations , 2017 .

[68]  Jianmin Chen,et al.  Aerosol optical properties at urban and coastal sites in Shandong Province, Northern China , 2017 .

[69]  Ti‐Jian Wang,et al.  [Concentration Characteristics and Influencing Factors of Atmospheric Particulate Matters in Spring on Weizhou Island, Beihai, Guangxi Province]. , 2017, Huan jing ke xue= Huanjing kexue.

[70]  Zifa Wang,et al.  Observation of wind shear during evening transition and an estimation of submicron aerosol concentrations in Beijing using a Doppler wind lidar , 2017, Journal of Meteorological Research.

[71]  K. Gui,et al.  Heavy pollution episodes, transport pathways and potential sources of PM2.5 during the winter of 2013 in Chengdu (China). , 2017, The Science of the total environment.

[72]  T. Wallington,et al.  Wintertime aerosol chemistry and haze evolution in an extremely polluted city of the North China Plain: significant contribution from coal and biomass combustion , 2017 .

[73]  Ju Wang,et al.  Pollution Characteristics of PM2.5 Aerosol during Haze Periods in Changchun, China , 2017 .

[74]  Jianjun He,et al.  Air pollution characteristics and their relation to meteorological conditions during 2014-2015 in major Chinese cities. , 2017, Environmental pollution.

[75]  Hongliang Zhang,et al.  Characterization of criteria air pollutants in Beijing during 2014–2015 , 2017, Environmental research.

[76]  Zifa Wang,et al.  Evolutionary processes and sources of high-nitrate haze episodes over Beijing, Spring. , 2017, Journal of environmental sciences.

[77]  Fanghua Wu,et al.  Analysis of influential factors for the relationship between PM 2.5 and AOD in Beijing , 2017 .

[78]  Xuelei Zhang,et al.  Typical atmospheric haze during crop harvest season in northeastern China: A case in the Changchun region. , 2017, Journal of environmental sciences.

[79]  D. Gong,et al.  Cause and predictability for the severe haze pollution in downtown Beijing in November-December 2015. , 2017, The Science of the total environment.

[80]  Qian Li,et al.  Spatial and Temporal Patterns of Air Pollution in Chinese Cities , 2017, Water, Air, & Soil Pollution.

[81]  Huopo Chen,et al.  Understanding severe winter haze events in the North China Plain in 2014: roles of climate anomalies , 2017 .

[82]  Xinming Wang,et al.  Characterization and source analysis of water-soluble inorganic ionic species in PM2.5 in Taiyuan city, China , 2017 .

[83]  Alexei Lyapustin,et al.  Estimation of daily PM10 concentrations in Italy (2006-2012) using finely resolved satellite data, land use variables and meteorology. , 2017, Environment international.

[84]  Ziyue Chen,et al.  Detecting the causality influence of individual meteorological factors on local PM2.5 concentration in the Jing-Jin-Ji region , 2017, Scientific Reports.

[85]  Zhong-ren Peng,et al.  Investigation of the spatiotemporal variation and influencing factors on fine particulate matter and carbon monoxide concentrations near a road intersection , 2017, Frontiers of Earth Science.

[86]  Guangming Shi,et al.  Aerosol optical properties and chemical composition apportionment in Sichuan Basin, China. , 2017, The Science of the total environment.

[87]  Zhaohui Xue,et al.  Spatiotemporal Pattern of PM2.5 Concentrations in Mainland China and Analysis of Its Influencing Factors using Geographically Weighted Regression , 2017, Scientific Reports.

[88]  C. Yu,et al.  Impact of Air Humidity Fluctuation on the Rise of PM Mass Concentration Based on the High-Resolution Monitoring Data , 2017 .

[89]  Performance Evaluation of the WRF-Chem Model with Different Physical Parameterization Schemes during an Extremely High PM2.5 Pollution Episode in Beijing , 2017 .

[90]  Yuanan Lu,et al.  Analysis of the Effect of Meteorological Factors on PM2.5-Associated PAHs during Autumn-Winter in Urban Nanchang , 2017 .

[91]  K. Chi,et al.  Spatial and Temporal Variation of PM2.5 and Atmospheric PCDD/Fs in Northern Taiwan during Winter Monsoon and Local Pollution Episodes , 2017 .

[92]  Weilin Yang,et al.  Analysis of Long-Range Transport Effects on PM2.5 during a Short Severe Haze in Beijing, China , 2017 .

[93]  Tang-Huang Lin,et al.  A Simulation Study on PM2.5 Sources and Meteorological Characteristics at the Northern Tip of Taiwan in the Early Stage of the Asian Haze Period , 2017 .

[94]  Hui Zhang,et al.  Chemical Characteristics of PM2.5 during a 2016 Winter Haze Episode in Shijiazhuang, China , 2017 .

[95]  K. Mehmood,et al.  A Study of Characteristics and Origins of Haze Pollution in Zhengzhou, China, Based on Observations and Hybrid Receptor Models , 2017 .

[96]  Influence of dust storms on atmospheric particulate pollution and acid rain in northern China , 2017, Air Quality, Atmosphere & Health.

[97]  张淑平,et al.  冬季PM 2.5 的气象影响因素解析 , 2016 .

[98]  Fengyun Wang,et al.  The meteorological modulation on PM2.5 interannual oscillation during 2013 to 2015 in Shanghai, China. , 2016, The Science of the total environment.

[99]  H. Liao,et al.  Increase in winter haze over eastern China in recent decades: Roles of variations in meteorological parameters and anthropogenic emissions , 2016 .

[100]  Kaicun Wang,et al.  Contribution of Atmospheric Diffusion Conditions to the Recent Improvement in Air Quality in China , 2016, Scientific Reports.

[101]  Chia-Hua Hsu,et al.  Classification of weather patterns to study the influence of meteorological characteristics on PM2.5 concentrations in Yunlin County, Taiwan , 2016 .

[102]  Wei Gong,et al.  Evaluating the Governing Factors of Variability in Nocturnal Boundary Layer Height Based on Elastic Lidar in Wuhan , 2016, International journal of environmental research and public health.

[103]  Zhongmin Zhu,et al.  A Review on Predicting Ground PM2.5 Concentration Using Satellite Aerosol Optical Depth , 2016 .

[104]  Jiansheng Wu,et al.  VIIRS-based remote sensing estimation of ground-level PM2.5 concentrations in Beijing–Tianjin–Hebei: A spatiotemporal statistical model , 2016 .

[105]  Maogui Hu,et al.  Estimation of daily PM2.5 concentration and its relationship with meteorological conditions in Beijing. , 2016, Journal of environmental sciences.

[106]  A. Gold,et al.  Chemical characterization of organosulfates in secondary organic aerosol derived from the photooxidation of alkanes , 2016 .

[107]  Jiangfeng She,et al.  Spatial and Temporal Variations of PM2.5 and Its Relation to Meteorological Factors in the Urban Area of Nanjing, China , 2016, International journal of environmental research and public health.

[108]  Dan Chen,et al.  Simulations of sulfate–nitrate–ammonium (SNA) aerosols during the extremehaze events over northern China in October 2014 , 2016 .

[109]  Tao Liu,et al.  The washout effects of rainfall on atmospheric particulate pollution in two Chinese cities. , 2016, Environmental pollution.

[110]  Yang Wang,et al.  Distinct impact of different types of aerosols on surface solar radiation in China , 2016 .

[111]  Fei Li,et al.  A study of ambient fine particles at Tianjin International Airport, China. , 2016, The Science of the total environment.

[112]  L. Molina,et al.  Typical synoptic situations and their impacts on the wintertime air pollution in the Guanzhong basin, China , 2016 .

[113]  A. Ding,et al.  WRF-Chem Simulation of a Severe Haze Episode in the Yangtze River Delta, China , 2016 .

[114]  Yang Yu,et al.  Long-term variation of black carbon and PM2.5 in Beijing, China with respect to meteorological conditions and governmental measures. , 2016, Environmental pollution.

[115]  Yang Wang,et al.  Intensification of aerosol pollution associated with its feedback with surface solar radiation and winds in Beijing , 2016 .

[116]  Baojing Gu,et al.  Characterization of haze episodes and factors contributing to their formation using a panel model. , 2016, Chemosphere.

[117]  Xiaobin Xu,et al.  Significant increase of surface ozone at a rural site, north of eastern China , 2016 .

[118]  Yinchang Feng,et al.  Chemical composition and source apportionment of ambient PM2.5 during the non-heating period in Taian, China , 2016 .

[119]  Jiansheng Wu,et al.  Spatiotemporal patterns of remotely sensed PM2.5 concentration in China from 1999 to 2011 , 2016 .

[120]  Alexandra Schneider,et al.  Associations between ultrafine and fine particles and mortality in five central European cities - Results from the UFIREG study. , 2016, Environment international.

[121]  Z. Bai,et al.  Heavy haze episodes in Beijing during January 2013: Inorganic ion chemistry and source analysis using highly time-resolved measurements from an urban site. , 2016, The Science of the total environment.

[122]  Ziyue Chen,et al.  Understanding temporal patterns and characteristics of air quality in Beijing: A local and regional perspective , 2016 .

[123]  Tingting Liao,et al.  Process analysis of characteristics of the boundary layer during a heavy haze pollution episode in an inland megacity, China. , 2016, Journal of environmental sciences.

[124]  Mengchu Zhou,et al.  Chemical composition of PM2.5 and meteorological impact among three years in urban Shanghai, China , 2016 .

[125]  Yang Liu,et al.  Satellite-Based Spatiotemporal Trends in PM2.5 Concentrations: China, 2004–2013 , 2015, Environmental health perspectives.

[126]  Li-wei Lai The influence of urban heat island phenomenon on PM concentration: an observation study during the summer half-year in metropolitan Taipei, Taiwan , 2016, Theoretical and Applied Climatology.

[127]  Bin Guo,et al.  Influence of Meteorological Factors and VOCs on PM2.5during Severe Air Pollution Period in Shijiazhuang in Winter , 2016 .

[128]  Huizheng Che,et al.  Spatial and temporal variations of the concentrations of PM 10 , PM 2.5 and PM 1 in China , 2015 .

[129]  Zhong-Ren Peng,et al.  A study of vertical distribution patterns of PM2.5 concentrations based on ambient monitoring with unmanned aerial vehicles: A case in Hangzhou, China , 2015 .

[130]  Zhiwei Ni,et al.  Multifractal detrended cross-correlation analysis between PM2.5 and meteorological factors , 2015 .

[131]  Shexia Ma,et al.  Atmospheric levels and health risk of polycyclic aromatic hydrocarbons (PAHs) bound to PM2.5 in Guangzhou, China. , 2015, Marine pollution bulletin.

[132]  Jin Guo,et al.  PM2.5 Spatiotemporal Variations and the Relationship with Meteorological Factors during 2013-2014 in Beijing, China , 2015, PloS one.

[133]  Yanfen Lin,et al.  Probing the Severe Haze Pollution in Three Typical Regions of China: Characteristics, Sources and Regional Impacts , 2015 .

[134]  Hongliang Zhang,et al.  Characterizing multi-pollutant air pollution in China: Comparison of three air quality indices. , 2015, Environment international.

[135]  Yuxuan Wang,et al.  A new indicator on the impact of large-scale circulation on wintertime particulate matter pollution over China , 2015 .

[136]  Yan-lin Zhang,et al.  Fine particulate matter (PM2.5) in China at a city level , 2015, Scientific Reports.

[137]  L. Mo,et al.  Particulate matter assessment of a wetland in Beijing. , 2015, Journal of environmental sciences.

[138]  Jianhua Wang,et al.  Effects of Meteorological Conditions on PM2.5 Concentrations in Nagasaki, Japan , 2015, International journal of environmental research and public health.

[139]  D. Jiang,et al.  Spatial Variation of the Relationship between PM2.5 Concentrations and Meteorological Parameters in China , 2015, BioMed research international.

[140]  Zhanqing Li,et al.  Substantial contribution of anthropogenic air pollution to catastrophic floods in Southwest China , 2015 .

[141]  Qi Ying,et al.  Relationships between meteorological parameters and criteria air pollutants in three megacities in China. , 2015, Environmental research.

[142]  Huopo Chen,et al.  Haze Days in North China and the associated atmospheric circulations based on daily visibility data from 1960 to 2012 , 2015 .

[143]  Real-time measurements of PM2.5, PM10–2.5, and BC in an urban street canyon , 2015 .

[144]  Jianming Xu,et al.  Impact of meteorological conditions on a nine-day particulate matter pollution event observed in December 2013, Shanghai, China , 2015 .

[145]  Bin Zhao,et al.  Spatiotemporal variations of PM2.5 and PM10 concentrations between 31 Chinese cities and their relationships with SO2, NO2, CO and O3 , 2015 .

[146]  X. Tie,et al.  Analysis of the causes of heavy aerosol pollution in Beijing, China: A case study with the WRF-Chem model , 2015 .

[147]  A. Gold,et al.  Evidence for an unrecognized secondary anthropogenic source of organosulfates and sulfonates: gas-phase oxidation of polycyclic aromatic hydrocarbons in the presence of sulfate aerosol. , 2015, Environmental science & technology.

[148]  Chun-Nan Liu,et al.  Theoretical model for the evaporation loss of PM2.5 during filter sampling , 2015 .

[149]  Seong-Joong Kim,et al.  Evolution of surface O3 and PM2.5 concentrations and their relationships with meteorological conditions over the last decade in Beijing , 2015 .

[150]  Zhanqing Li,et al.  Low-level temperature inversions and their effect on aerosol condensation nuclei concentrations under different large-scale synoptic circulations , 2015, Advances in Atmospheric Sciences.

[151]  Yi Li,et al.  Ambient temperature enhanced acute cardiovascular-respiratory mortality effects of PM2.5 in Beijing, China , 2015, International Journal of Biometeorology.

[152]  Jianming Xu,et al.  Modeling study of a severe aerosol pollution event in December 2013 over Shanghai China: An application of chemical data assimilation , 2015 .

[153]  Xiaohong Liu,et al.  Characteristics and formation mechanism of continuous extreme hazes in China: a case study in autumn of 2014 in the North China Plain , 2015 .

[154]  Lingdong Kong,et al.  Individual particle analysis of aerosols collected at Lhasa City in the Tibetan Plateau. , 2015, Journal of environmental sciences.

[155]  Ramesh P. Singh,et al.  Analysis of a severe prolonged regional haze episode in the Yangtze River Delta, China , 2015 .

[156]  Yuan Cheng,et al.  Humidity plays an important role in the PM₂.₅ pollution in Beijing. , 2015, Environmental pollution.

[157]  S. Tao,et al.  Daily variations of size-segregated ambient particulate matter in Beijing. , 2015, Environmental pollution.

[158]  Yang Li,et al.  Variations in PM10, PM2.5 and PM1.0 in an Urban Area of the Sichuan Basin and Their Relation to Meteorological Factors , 2015, ATMOS 2015.

[159]  Jing Duan,et al.  Characteristics and Relationship of PM, PM10, PM2.5 Concentration in a Polluted City in Northern China , 2015 .

[160]  Shanshan Yuan,et al.  A Study on the Model for Heating Influence on PM2.5 Emission in Beijing China , 2015 .

[161]  Junji Cao,et al.  A budget analysis of the formation of haze in Beijing , 2015 .

[162]  Delong Zhao,et al.  Effects of meteorology and secondary particle formation on visibility during heavy haze events in Beijing, China. , 2015, The Science of the total environment.

[163]  H. Liao,et al.  Decadal trend and interannual variation of outflow of aerosols from East Asia: Roles of variations in meteorological parameters and emissions , 2014 .

[164]  Jianping Guo,et al.  A study of the meteorological causes of a prolonged and severe haze episode in January 2013 over central-eastern China , 2014 .

[165]  M. Chin,et al.  Global observations of aerosol‐cloud‐precipitation‐climate interactions , 2014 .

[166]  M. Molina,et al.  Elucidating severe urban haze formation in China , 2014, Proceedings of the National Academy of Sciences.

[167]  Qingyang Liu,et al.  Oxidative potential and inflammatory impacts of source apportioned ambient air pollution in Beijing. , 2014, Environmental science & technology.

[168]  A. Piazzalunga,et al.  High secondary aerosol contribution to particulate pollution during haze events in China , 2014, Nature.

[169]  A. Megaritis,et al.  Linking climate and air quality over Europe: effects of meteorology on PM 2.5 concentrations , 2014 .

[170]  G. Thompson,et al.  A Study of Aerosol Impacts on Clouds and Precipitation Development in a Large Winter Cyclone , 2014 .

[171]  Andrea Mazzino,et al.  An integrated PM2.5 source apportionment study: Positive Matrix Factorisation vs. the chemical transport model CAMx , 2014 .

[172]  David G. Streets,et al.  An integrated process rate analysis of a regional fine particulate matter episode over Yangtze River Delta in 2010 , 2014 .

[173]  Chun-Quan Ou,et al.  Spatial and temporal analysis of Air Pollution Index and its timescale-dependent relationship with meteorological factors in Guangzhou, China, 2001-2011. , 2014, Environmental pollution.

[174]  C. Skinner,et al.  Occurrence and persistence of future atmospheric stagnation events , 2014, Nature climate change.

[175]  Fan Zhang,et al.  Fine particles (PM2.5) at a CAWNET background site in Central China: Chemical compositions, seasonal variations and regional pollution events , 2014 .

[176]  S. Jaaffrey,et al.  The linkages of anthropogenic emissions and meteorology in the rapid increase of particulate matter at a foothill city in the Arawali range of India , 2014 .

[177]  F. Geng,et al.  Seasonal and diurnal variations of particulate organosulfates in urban Shanghai, China , 2014 .

[178]  E. Zeng,et al.  Significance of wet deposition to removal of atmospheric particulate matter and polycyclic aromatic hydrocarbons: A case study in Guangzhou, China , 2014 .

[179]  Wenjun Jiang,et al.  Inhalable Microorganisms in Beijing’s PM2.5 and PM10 Pollutants during a Severe Smog Event , 2014, Environmental science & technology.

[180]  Z. Bai,et al.  Major chemical compositions, possible sources, and mass closure analysis of PM2.5 in Jinan, China , 2014, Air Quality, Atmosphere & Health.

[181]  Shulan Wang,et al.  Spatial and temporal variation of particulate matter and gaseous pollutants in 26 cities in China. , 2014, Journal of environmental sciences.

[182]  Renyi Zhang,et al.  New Directions: Light absorbing aerosols and their atmospheric impacts ☆ , 2013 .

[183]  Jizhi Wang,et al.  Diagnostic identification of the impact of meteorological conditions on PM2.5 concentrations in Beijing , 2013 .

[184]  Yuesi Wang,et al.  The vertical distribution of PM2.5 and boundary-layer structure during summer haze in Beijing , 2013 .

[185]  Renjian Zhang,et al.  Chemical characterization and source apportionment of PM 2 . 5 in Beijing : seasonal perspective , 2013 .

[186]  A. Sfetsos,et al.  An analysis of ozone variation in the Greater Athens Area using Granger Causality , 2013 .

[187]  Jinhua Tao,et al.  Modeling aerosol impacts on atmospheric visibility in Beijing with RAMS-CMAQ , 2013 .

[188]  A. Wheeler,et al.  Development of temporally refined land-use regression models predicting daily household-level air pollution in a panel study of lung function among asthmatic children , 2013, Journal of Exposure Science and Environmental Epidemiology.

[189]  Jun Wang,et al.  Contamination characteristics and possible sources of PM10 and PM2.5 in different functional areas of Shanghai, China , 2013 .

[190]  V. Pont,et al.  Research on aerosol sources and chemical composition: Past, current and emerging issues , 2013 .

[191]  Han-qing Kang,et al.  Analysis of a long-lasting haze episode in Nanjing, China , 2013 .

[192]  Delong Zhao,et al.  Evolution of planetary boundary layer under different weather conditions, and its impact on aerosol concentrations , 2013 .

[193]  Shuyan Liu,et al.  Urban Boundary Layer Height Characteristics and Relationship with Particulate Matter Mass Concentrations in Xi'an, Central China , 2013 .

[194]  George Sugihara,et al.  Detecting Causality in Complex Ecosystems , 2012, Science.

[195]  R. Dickinson,et al.  Atmospheric impacts on climatic variability of surface incident solar radiation , 2012 .

[196]  Song Guo,et al.  Primary sources and secondary formation of organic aerosols in Beijing, China. , 2012, Environmental science & technology.

[197]  Andrew J. Sumner,et al.  Aqueous-phase secondary organic aerosol and organosulfate formation in atmospheric aerosols: a modeling study. , 2012, Environmental science & technology.

[198]  Ting Yang,et al.  Formation and evolution mechanism of regional haze: a case study in the megacity Beijing, China , 2012 .

[199]  Le Jian,et al.  An application of ARIMA model to predict submicron particle concentrations from meteorological factors at a busy roadside in Hangzhou, China. , 2012, The Science of the total environment.

[200]  Elizabeth A. Stone,et al.  Characterization of organosulfates in atmospheric aerosols at Four Asian locations , 2012 .

[201]  Yi Li,et al.  Impact of air pollution control measures and weather conditions on asthma during the 2008 Summer Olympic Games in Beijing , 2011, International journal of biometeorology.

[202]  K. He,et al.  Characteristics of PM 2.5 speciation in representative megacities and across China , 2011 .

[203]  Rob J Hyndman,et al.  Quantifying the influence of local meteorology on air quality using generalized additive models , 2011 .

[204]  Spyros N. Pandis,et al.  Simulations of organic aerosol concentrations in Mexico City using the WRF-CHEM model during the MCMA-2006/MILAGRO campaign , 2010 .

[205]  Athanasios Sfetsos,et al.  A new approach to discovering the causal relationship between meteorological patterns and PM10 exceedances , 2010 .

[206]  G. Brasseur,et al.  Impact of model resolution on chemical ozone formation in Mexico City; application of the WRF-Chem model , 2010 .

[207]  H. Che,et al.  CHANGES OF ATMOSPHERIC COMPOSITION AND OPTICAL PROPERTIES OVER BEIJING—2008 Olympic Monitoring Campaign , 2009 .

[208]  W. Meng,et al.  Seasonal and diurnal variations of ambient PM2.5 concentration in urban and rural environments in Beijing , 2009 .

[209]  Wu Wei-wei Relationship between meteorological conditions and particle size distribution of atmospheric aerosols , 2009 .

[210]  G. Bae,et al.  Smog Chamber Measurements , 2009 .

[211]  J. Gulliver,et al.  A review of land-use regression models to assess spatial variation of outdoor air pollution , 2008 .

[212]  Lorraine A. Remer,et al.  Smoke Invigoration Versus Inhibition of Clouds over the Amazon , 2008, Science.

[213]  V. Ramanathan,et al.  Global and regional climate changes due to black carbon , 2008 .

[214]  Michael Brauer,et al.  An innovative land use regression model incorporating meteorology for exposure analysis. , 2008, The Science of the total environment.

[215]  S. Beevers,et al.  Modelling and assessing trends in traffic-related emissions using a generalised additive modelling approach , 2007 .

[216]  Ilan Koren,et al.  Smoke and Pollution Aerosol Effect on Cloud Cover , 2006, Science.

[217]  Stefan Emeis,et al.  Remote Sensing Methods to Investigate Boundary-layer Structures relevant to Air Pollution in Cities , 2006 .

[218]  Xingying Zhang,et al.  The ion chemistry;seasonal cycle;and sources of PM2.5 and TSP aerosol in Shanghai , 2006 .

[219]  Gavin C. Cawley,et al.  Statistical models to assess the health effects and to forecast ground-level ozone , 2006, Environ. Model. Softw..

[220]  Ulrich Pöschl,et al.  Atmospheric aerosols: composition, transformation, climate and health effects. , 2005, Angewandte Chemie.

[221]  A. Steiner,et al.  Aerosol-induced thermal effects increase modelled terrestrial photosynthesis and transpiration , 2005 .

[222]  Georg A. Grell,et al.  Fully coupled “online” chemistry within the WRF model , 2005 .

[223]  M. Jacobson,et al.  Strong radiative heating due to the mixing state of black carbon in atmospheric aerosols , 2022 .

[224]  M. Charlton,et al.  Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis , 1998 .

[225]  Igor G. Zurbenko,et al.  Separating Different Scales of Motion in Time Series of Meteorological Variables. , 1997 .

[226]  R. Tibshirani,et al.  Generalized additive models for medical research , 1995, Statistical methods in medical research.

[227]  Rao St,et al.  Detecting and tracking changes in ozone air quality. , 1994 .

[228]  B. Albrecht Aerosols, Cloud Microphysics, and Fractional Cloudiness , 1989, Science.

[229]  C. Granger Investigating causal relations by econometric models and cross-spectral methods , 1969 .