116 citations as recorded by crossref.

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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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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
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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
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39. Changes in Present and Future Circulation Types Frequency in Northwest Iberian Peninsula M. Lorenzo et al. 10.1371/journal.pone.0016201
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43. Predicting Pm10 and Pm2.5 Concentration in Container Ports: A Deep Learning Approach S. Park et al. 10.2139/ssrn.4199828
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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. Rapid increase in spring ozone in the Pearl River Delta, China during 2013-2022 T. Cao et al. 10.1038/s41612-024-00847-3
60. Spatial clustering and meteorological drivers of summer ozone in Europe L. Carro-Calvo et al. 10.1016/j.atmosenv.2017.08.050
61. Winter weather conditions vs. air quality in Tricity, Poland J. Nidzgorska-Lencewicz & M. Czarnecka 10.1007/s00704-014-1129-8
62. Atmospheric blockages as trigger of environmental contingencies in Mexico City R. Silva-Quiroz et al. 10.1016/j.heliyon.2019.e02099
63. 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
64. Characterising the Seasonal Variations and Spatial Distribution of Ambient PM10 in Urban Ankara, Turkey N. Raja et al. 10.1007/s40710-018-0305-8
65. 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
66. 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
67. Influence of circulation types on temporal and spatial variations of ozone in Beijing X. Zhu et al. 10.1016/j.jes.2022.06.033
68. 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
69. 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
70. Have Meteorological Conditions Reduced NO2 Concentrations from Local Emission Sources in Gothenburg? L. Tang et al. 10.1007/s11270-011-0789-6
71. Analysis of tropospheric ozone concentration and their predictors in mainland Portugal C. Alonso et al. 10.1016/j.atmosres.2024.107766
72. 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
73. 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
74. 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
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79. 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
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82. Association between Prevailing Circulation Patterns and Coarse Particles in Portugal R. Cavaleiro et al. 10.3390/atmos12010085
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84. 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
85. 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
86. 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
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88. 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
89. 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
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