115 citations as recorded by crossref.

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2. Factors influencing the variations of PM10 aerosol dust in Klang Valley, Malaysia during the summer L. Juneng et al. 10.1016/j.atmosenv.2011.05.045
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8. Role of the position of the North Atlantic jet in the variability and odds of extreme PM10 in Europe C. Ordóñez et al. 10.1016/j.atmosenv.2019.04.045
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10. Lockdown for CoViD-2019 in Milan: What are the effects on air quality? M. Collivignarelli et al. 10.1016/j.scitotenv.2020.139280
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17. Cloud to ground lightning activity over Portugal and its association with circulation weather types A. Ramos et al. 10.1016/j.atmosres.2011.01.014
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23. A prediction index of the volatile organic compounds pollution conditions in a chemical industrial park based on atmospheric stability X. Chen et al. 10.1016/j.scitotenv.2024.170862
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27. Weather types, runoff and sediment yield in a Mediterranean mountain landscape E. Nadal‐Romero et al. 10.1002/esp.3451
28. Climatological conditions of the Black Sea‐effect snowfall events in Istanbul, Turkey H. Baltaci et al. 10.1002/joc.6944
29. 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
30. Visualising the relationships between synoptic circulation type and air quality in Sydney, a subtropical coastal‐basin environment N. Jiang et al. 10.1002/joc.4770
31. Visual Exploration of Air Quality Data with a Time-correlation-partitioning Tree Based on Information Theory F. Guo et al. 10.1145/3182187
32. Changes in Air Pollution Following the COVID-19 Epidemic in Northern China: The Role of Meteorology T. Xian et al. 10.3389/fenvs.2021.654651
33. Combined impacts of climate and air pollution on human health and agricultural productivity J. Sillmann et al. 10.1088/1748-9326/ac1df8
34. An evaluation of CMAQ NO2 using observed chemistry‐meteorology correlations M. Harkey et al. 10.1002/2015JD023316
35. GIS-based identification of spatial variables enhancing heat and poor air quality in urban areas H. Merbitz et al. 10.1016/j.apgeog.2011.06.008
36. A synoptic characterization of the dust transport and associated thermal anomalies in the Mediterranean basin M. Gaetani et al. 10.1002/joc.3615
37. Using Shapley values to assess the impact of temporary traffic restrictions on NO2 levels in Madrid urban area F. Alvarez & M. Smith 10.1007/s13762-020-03091-3
38. Spatial patterns and influencing factors of intraurban particulate matter in the heating season based on taxi monitoring C. Liu et al. 10.1080/20964129.2022.2130826
39. Changes in Present and Future Circulation Types Frequency in Northwest Iberian Peninsula M. Lorenzo et al. 10.1371/journal.pone.0016201
40. Circulation type classifications for temperature and precipitation stratification in Italy R. Vallorani et al. 10.1002/joc.5219
41. The influence of synoptic weather regimes on UK air quality: analysis of satellite column NO2 R. Pope et al. 10.1002/asl2.492
42. The COST733 circulation type classification software: an example for surface ozone concentrations in Central Europe M. Demuzere et al. 10.1007/s00704-010-0378-4
43. Predicting Pm10 and Pm2.5 Concentration in Container Ports: A Deep Learning Approach S. Park et al. 10.2139/ssrn.4199828
44. Assessing the impact of synoptic weather systems on air quality in Sydney using Radon 222 J. Crawford et al. 10.1016/j.atmosenv.2022.119537
45. Air quality prediction using optimal neural networks with stochastic variables A. Russo et al. 10.1016/j.atmosenv.2013.07.072
46. Application of Artificial Neural Networks in the Prediction of PM10 Levels in the Winter Months: A Case Study in the Tricity Agglomeration, Poland J. Nidzgorska-Lencewicz 10.3390/atmos9060203
47. Projecting future temperature-related mortality in three largest Australian cities Y. Guo et al. 10.1016/j.envpol.2015.09.041
48. Exploring the most influential part of atmospheric circulation in the formation of severe air pollution episodes in the Greater Tehran S. Fotros et al. 10.1007/s12517-018-3893-8
49. 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. 10.1029/2021JD035937
50. Meteorology influencing springtime air quality, pollution transport, and visibility in Korea D. Peterson et al. 10.1525/elementa.395
51. NO2, PM10 and O3 urban concentrations and its association with circulation weather types in Portugal A. Russo et al. 10.1016/j.atmosenv.2014.02.010
52. Regional responses of surface ozone in Europe to the location of high-latitude blocks and subtropical ridges C. Ordóñez et al. 10.5194/acp-17-3111-2017
53. Seasonal progression of surface ozone and NOx concentrations over three tropical stations in North-East India B. Tyagi et al. 10.1016/j.envpol.2019.113662
54. Modelling monthly precipitation with circulation weather types for a dense network of stations over Iberia N. Cortesi et al. 10.5194/hess-17-665-2013
55. An analysis of the synoptic and climatological applicability of circulation type classifications for Ireland C. Broderick & R. Fealy 10.1002/joc.3996
56. Temperature changes and elevation‐warming relationships in the Carpathian Mountains D. Micu et al. 10.1002/joc.6952
57. Searching for optimal variables in real multivariate stochastic data F. Raischel et al. 10.1016/j.physleta.2012.05.017
58. Investigating the observed sensitivities of air-quality extremes to meteorological drivers via quantile regression W. Porter et al. 10.5194/acp-15-10349-2015
59. Spatial clustering and meteorological drivers of summer ozone in Europe L. Carro-Calvo et al. 10.1016/j.atmosenv.2017.08.050
60. Winter weather conditions vs. air quality in Tricity, Poland J. Nidzgorska-Lencewicz & M. Czarnecka 10.1007/s00704-014-1129-8
61. Atmospheric blockages as trigger of environmental contingencies in Mexico City R. Silva-Quiroz et al. 10.1016/j.heliyon.2019.e02099
62. Classification of circulation types for Southern Poland with an application to air pollution concentration in Upper Silesia M. Leśniok et al. 10.1016/j.pce.2009.11.006
63. Characterising the Seasonal Variations and Spatial Distribution of Ambient PM10 in Urban Ankara, Turkey N. Raja et al. 10.1007/s40710-018-0305-8
64. Modeling and projecting health-relevant combined ozone and temperature events in present and future Central European climate S. Jahn & E. Hertig 10.1007/s11869-020-00961-0
65. Neural network forecast of daily pollution concentration using optimal meteorological data at synoptic and local scales A. Russo et al. 10.5094/APR.2015.060
66. Influence of circulation types on temporal and spatial variations of ozone in Beijing X. Zhu et al. 10.1016/j.jes.2022.06.033
67. Circulation vs. climatic changes over the Czech Republic: A comprehensive study based on the COST733 database of atmospheric circulation classifications M. Cahynová & R. Huth 10.1016/j.pce.2009.11.002
68. Spatiotemporal analysis of particulate matter, sulfur dioxide and carbon monoxide concentrations over the city of Rio de Janeiro, Brazil M. Zeri et al. 10.1007/s00703-011-0153-9
69. Have Meteorological Conditions Reduced NO2 Concentrations from Local Emission Sources in Gothenburg? L. Tang et al. 10.1007/s11270-011-0789-6
70. Analysis of tropospheric ozone concentration and their predictors in mainland Portugal C. Alonso et al. 10.1016/j.atmosres.2024.107766
71. Modelos lineares aplicados à estimativa da concentração do material particulado (PM10) na cidade do Rio de Janeiro, RJ G. Lyra et al. 10.1590/S0102-77862011000300006
72. Forecasting O 3 levels in industrial area surroundings up to 24 h in advance, combining classification trees and MLP models R. Durão et al. 10.1016/j.apr.2016.05.008
73. Effects of synoptic circulation patterns on air quality in Nanjing and its surrounding areas during 2013–2015 C. Zhou et al. 10.1016/j.apr.2018.01.015
74. A new method to estimate air-quality levels using a synoptic-regression approach. Part II: Future O3 concentrations M. Demuzere & N. van Lipzig 10.1016/j.atmosenv.2009.06.019
75. Quantifying the impact of synoptic circulation patterns on ozone variability in northern China from April to October 2013–2017 J. Liu et al. 10.5194/acp-19-14477-2019
76. A new method to estimate air-quality levels using a synoptic-regression approach. Part I: Present-day O3 and PM10 analysis M. Demuzere & N. van Lipzig 10.1016/j.atmosenv.2009.06.029
77. Impacts of synoptic weather patterns on Hefei's ozone in warm season and analysis of transport pathways during extreme pollution events F. Hu et al. 10.1016/j.jes.2024.06.032
78. The influence of circulation weather patterns at different spatial scales on drought variability in the Iberian Peninsula A. Russo et al. 10.3389/fenvs.2015.00001
79. Predicting PM10 and PM2.5 concentration in container ports: A deep learning approach S. Park et al. 10.1016/j.trd.2022.103601
80. Temporal and spatial patterns of nitrogen wet deposition in different weather types in the Pearl River Delta (PRD), China L. Zheng et al. 10.1016/j.scitotenv.2020.139936
81. Association between Prevailing Circulation Patterns and Coarse Particles in Portugal R. Cavaleiro et al. 10.3390/atmos12010085
82. Circulation‐type classification derived on a climatic basis to study air quality dynamics over the Iberian Peninsula V. Valverde et al. 10.1002/joc.4179
83. Application of the Principal Component Analysis (PCA) Method to Assess the Impact of Meteorological Elements on Concentrations of Particulate Matter (PM10): A Case Study of the Mountain Valley (the Sącz Basin, Poland) Z. Zuśka et al. 10.3390/su11236740
84. Major air pollutants seasonal variation analysis and long-range transport of PM10 in an urban environment with specific climate condition in Transylvania (Romania) Z. Bodor et al. 10.1007/s11356-020-09838-2
85. The Impact of Atmospheric Synoptic Weather Condition and Long-Range Transportation of Air Mass on Extreme PM10 Concentration Events H. Lai et al. 10.3390/atmos14020406
86. The impact of synoptic weather on UK surface ozone and implications for premature mortality R. Pope et al. 10.1088/1748-9326/11/12/124004
87. Estimation of the dispersion of an accidental release of radionuclides and toxic materials based on weather type classification R. Mészáros et al. 10.1007/s00704-011-0482-0
88. Mobile measurements and regression modeling of the spatial particulate matter variability in an urban area H. Merbitz et al. 10.1016/j.scitotenv.2012.08.049
89. Meteorological mechanism of regional PM2.5 transport building a receptor region for heavy air pollution over Central China Y. Bai et al. 10.1016/j.scitotenv.2021.151951
90. Transport of aerosols and trace gases during dust and crop-residue burning events in Indo-Gangetic Plain: Influence on surface ozone levels over downwind region S. Kumari et al. 10.1016/j.atmosenv.2020.117829
91. Declining ozone exposure of European vegetation under climate change and reduced precursor emissions J. Klingberg et al. 10.5194/bg-11-5269-2014
92. Analyses of winter circulation types and their impacts on haze pollution in Beijing J. He et al. 10.1016/j.atmosenv.2018.08.060
93. Hybrid Model for Urban Air Pollution Forecasting: A Stochastic Spatio-Temporal Approach A. Russo & A. Soares 10.1007/s11004-013-9483-0
94. Assessing the impact of the new Mexico cable car on air pollution J. Prieto-Rodriguez et al. 10.1016/j.jtrangeo.2024.104052
95. The pollutant concentration prediction model of NNP-BPNN based on the INI algorithm, AW method and neighbor-PCA H. Zhao et al. 10.1007/s12652-018-0837-9
96. Circulation pattern-based assessment of projected climate change for a catchment in Spain H. Gupta et al. 10.1016/j.jhydrol.2016.06.032
97. The effect of meteorology on air pollution in Moscow during the summer episodes of 2010 I. Kuznetsova 10.1134/S0001433812050052
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101. Association of Air Pollution Levels to Atmospheric Weather Regimes over Europe A. Muntasir et al. 10.30799/jespr.210.21070101
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