50 citations as recorded by crossref.

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2. Numerical Study of Meteorological Factors for Tropospheric Nocturnal Ozone Increase in the Metropolitan Area of São Paulo V. Urbina Guerrero et al. 10.3390/atmos12020287
3. Characteristics and temporal variations of organic and elemental carbon aerosols in a high–altitude, tropical Latin American megacity O. Ramírez et al. 10.1016/j.atmosres.2018.04.006
4. Insights to WRF-Chem sensitivity in a zone of complex terrain in the tropical Andes: Effect of boundary conditions, chemical mechanisms, nesting, and domain configuration F. Cifuentes et al. 10.1016/j.apr.2021.101093
5. Evaluation of atmospheric aerosols in the metropolitan area of São Paulo simulated by the regional EURAD-IM model on high-resolution E. De Souza Fernandes Duarte et al. 10.1016/j.apr.2020.12.006
6. Fog, Temperature and Air Quality Over the Metropolitan Area of São Paulo: a Trend Analysis from 1998 to 2018 A. Mühlig et al. 10.1007/s11270-020-04902-6
7. Impact of emission control strategies on air quality: a case study in Piracicaba, São Paulo—Brazil F. Maciel et al. 10.1007/s13762-021-03441-9
8. Air quality in the megacity of São Paulo: Evolution over the last 30 years and future perspectives M. Andrade et al. 10.1016/j.atmosenv.2017.03.051
9. Short-Term Responses of Air Quality to Changes in Emissions under the Representative Concentration Pathway 4.5 Scenario over Brazil D. Schuch et al. 10.3390/atmos11080799
10. External Effects of Diesel Trucks Circulating Inside the São Paulo Megacity J. He et al. 10.1093/jeea/jvy015
11. Sensitivity of Planetary Boundary Layer Scheme in WRF-Chem Model for Predicting PM10 Concentration (Case study: Jakarta) M. Musthafa et al. 10.1088/1755-1315/303/1/012049
12. Development of a spatialized atmospheric emission inventory for the main industrial sources in Brazil A. Kawashima et al. 10.1007/s11356-020-08281-7
13. Spatial–temporal distribution characteristics of pollutants of heavy-duty diesel vehicles in urban road networks: a case study of Kunming City J. Xu et al. 10.1007/s11356-023-31084-5
14. Effect of vehicular traffic, remote sources and new particle formation on the activation properties of cloud condensation nuclei in the megacity of São Paulo, Brazil C. Souto-Oliveira et al. 10.5194/acp-16-14635-2016
15. Biomarkers as indicators of fungal biomass in the atmosphere of São Paulo, Brazil A. Emygdio et al. 10.1016/j.scitotenv.2017.08.153
16. Comparison of Top-Down and Bottom-Up Road Transport Emissions through High-Resolution Air Quality Modeling in a City of Complex Orography F. Cifuentes et al. 10.3390/atmos12111372
17. Evaluating the Impact of Vehicular Aerosol Emissions on Particulate Matter (PM2.5) Formation Using Modeling Study O. Sánchez-Ccoyllo et al. 10.3390/atmos13111816
18. High-resolution air quality modeling in a medium-sized city in the tropical Andes: Assessment of local and global emissions in understanding ozone and PM10 dynamics C. González et al. 10.1016/j.apr.2018.03.003
19. Linking air quality, health, and economic effect models for use in air pollution epidemiology studies with uncertain factors L. Bui et al. 10.1016/j.apr.2021.101118
20. Meteorological Effects of Green Infrastructure on a Developing Medium Latin American City: A Numerical Modeling Assessment O. Sobrinho et al. 10.3390/su15021429
21. WRF-SMOKE-CMAQ modeling system for air quality evaluation in São Paulo megacity with a 2008 experimental campaign data T. de Almeida Albuquerque et al. 10.1007/s11356-018-3583-9
22. Contributions of mobile, stationary and biogenic sources to air pollution in the Amazon rainforest: a numerical study with the WRF-Chem model S. Abou Rafee et al. 10.5194/acp-17-7977-2017
23. Environmental and public health effects of vehicle emissions in a large metropolis: Case study of a truck driver strike in Sao Paulo, Brazil L. Leirião et al. 10.1016/j.apr.2020.02.020
24. Influence of Meteorology on Fine Particles Concentration in Vitória Metropolitan Region During Wintertime W. Andreão et al. 10.1590/0102-7786344057
25. High spatial and temporal resolution vehicular emissions in south-east Brazil with traffic data from real-time GPS and travel demand models S. Ibarra-Espinosa et al. 10.1016/j.atmosenv.2019.117136
26. Coupling traffic originated urban air pollution estimation with an atmospheric chemistry model A. Kovács et al. 10.1016/j.uclim.2021.100868
27. Photochemical sensitivity to emissions and local meteorology in Bogotá, Santiago, and São Paulo R. Seguel et al. 10.1525/elementa.2021.00044
28. Impact of time-dependent chemical boundary conditions on tropospheric ozone simulation with WRF-Chem: An experiment over the Metropolitan Area of São Paulo M. Gavidia-Calderón et al. 10.1016/j.atmosenv.2018.09.026
29. Dependence of urban air pollutants on morning/evening peak hours and seasons S. Gupta & S. Elumalai 10.1007/s00244-019-00616-x
30. Future Ozone Levels Responses to Changes in Meteorological Conditions under RCP 4.5 and RCP 8.5 Scenarios over São Paulo, Brazil A. Peralta et al. 10.3390/atmos14040626
31. eixport: An R package to export emissions to atmospheric models S. Ibarra-Espinosa et al. 10.21105/joss.00607
32. VEIN v0.2.2: an R package for bottom–up vehicular emissions inventories S. Ibarra-Espinosa et al. 10.5194/gmd-11-2209-2018
33. Long short-term memory artificial neural network approach to forecast meteorology and PM2.5 local variables in Bogotá, Colombia A. Casallas et al. 10.1007/s40808-021-01274-6
34. Spatial and temporal disaggregation of the on-road vehicle emission inventory in a medium-sized Andean city. Comparison of GIS-based top-down methodologies C. Gómez et al. 10.1016/j.atmosenv.2018.01.049
35. Modeling of Atmospheric Aerosol Properties in the São Paulo Metropolitan Area: Impact of Biomass Burning A. Vara‐Vela et al. 10.1029/2018JD028768
36. Atmospheric effects of air pollution during dry and wet periods in São Paulo S. Ibarra-Espinosa et al. 10.1039/D1EA00080B
37. Particulate pollutants in the Brazilian city of São Paulo: 1-year investigation for the chemical composition and source apportionment G. Pereira et al. 10.5194/acp-17-11943-2017
38. Building Beltways to Abate Exposure to Diesel Exhaust in Developing-Country Megacities: Evidence from SSo Paulo J. He et al. 10.2139/ssrn.2611950
39. Top-down vehicle emission inventory for spatial distribution and dispersion modeling of particulate matter W. Andreão et al. 10.1007/s11356-020-08476-y
40. Reduced ultrafine particle levels in São Paulo’s atmosphere during shifts from gasoline to ethanol use A. Salvo et al. 10.1038/s41467-017-00041-5
41. Quantifying the impact of particle matter on mortality and hospitalizations in four Brazilian metropolitan areas W. Andreão et al. 10.1016/j.jenvman.2020.110840
42. Air quality simulation with WRF-Chem over southeastern Brazil, part I: Model description and evaluation using ground-based and satellite data N. Benavente et al. 10.1016/j.uclim.2023.101703
43. India’s Maiden air quality forecasting framework for megacities of divergent environments: The SAFAR-project G. Beig et al. 10.1016/j.envsoft.2021.105204
44. Effect of Local Climate Zone (LCZ) classification on ozone chemical transport model simulations in Sao Paulo, Brazil D. Pellegatti Franco et al. 10.1016/j.uclim.2018.12.007
45. Air quality modeling in the metropolitan area of São Paulo, Brazil: A review M. Gavidia-Calderón et al. 10.1016/j.atmosenv.2023.120301
46. Characterizing the distribution pattern of submicron and coarse particles on high-density container truck roads through mobile monitoring H. Zhao et al. 10.1016/j.apr.2022.101561
47. Source apportionment of fine particulate matter by positive matrix factorization in the metropolitan area of São Paulo, Brazil R. de Miranda et al. 10.1016/j.jclepro.2018.08.100
48. A comprehensive spatial and temporal vehicular emissions for northeast China S. Ibarra-Espinosa et al. 10.1016/j.atmosenv.2020.117952
49. Relationship between black carbon (BC) and heavy traffic in São Paulo, Brazil R. de Miranda et al. 10.1016/j.trd.2017.09.002
50. A review on recent progress in observations, sources, classification and regulations of PM2.5 in Asian environments S. Gautam et al. 10.1007/s11356-016-7515-2