17 citations as recorded by crossref.

1. Reassessing air pollution exposure: How daily mobility and activities shape individual risk in greater Paris T. Benoussaïd et al. https://doi.org/10.1016/j.compenvurbsys.2025.102340
2. Impact of nucleation mode traffic emission on modelled high-resolution particle number concentrations in Beijing X. Li et al. https://doi.org/10.1016/j.aeaoa.2026.100453
3. Advances in air quality research – current and emerging challenges R. Sokhi et al. https://doi.org/10.5194/acp-22-4615-2022
4. Improvement of the vertical mixing in chemistry transport modeling based on a 1.5-order turbulence kinetic energy-based eddy diffusivity closure scheme L. Jiang et al. https://doi.org/10.1016/j.atmosres.2022.106394
5. A city-scale turbulence-resolving model as an essential element of integrated urban services I. Esau et al. https://doi.org/10.1016/j.uclim.2024.102059
6. The large-scale circulation during air quality hazards in Bergen, Norway T. Wolf-Grosse et al. https://doi.org/10.1080/16000870.2017.1406265
7. Boundary layer structure characteristics under objective classification of persistent pollution weather types in the Beijing area Z. Sun et al. https://doi.org/10.5194/acp-21-8863-2021
8. ON THE RELATIONSHIP OF NATURAL VENTILATION OF MOUNTAIN BASINS AND OPEN-PITS WITH THE DEGREE OF STABILITY OF ATMOSPHERIC STRATIFICATION P. Amosov & A. Baklanov https://doi.org/10.37614/2949-1185.2025.4.3.002
9. Effects of Unstable Stratification on Ventilation in Hong Kong T. Gronemeier et al. https://doi.org/10.3390/atmos8090168
10. Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al. https://doi.org/10.5194/acp-22-4413-2022
11. Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform A. Mahura et al. https://doi.org/10.1080/20964471.2024.2325019
12. Hyperlocal mapping of urban air temperature using remote sensing and crowdsourced weather data Z. Venter et al. https://doi.org/10.1016/j.rse.2020.111791
13. Dispersion of particulate matter (PM2.5) from wood combustion for residential heating: optimization of mitigation actions based on large-eddy simulations T. Wolf et al. https://doi.org/10.5194/acp-21-12463-2021
14. Spatio-temporal distribution of INSAT-3D AOD derived particulate matter concentration over India A. Gupta et al. https://doi.org/10.1016/j.apr.2020.08.031
15. A Model Downscaling Study of Wind Park Exposure to Extreme Weather: The Case of Storm “Ylva” in Arctic Norway I. Esau et al. https://doi.org/10.3390/wind6010006
16. High-Resolution Temperature Mapping by Geostatistical Kriging with External Drift from Large-Eddy Simulations M. Varentsov et al. https://doi.org/10.1175/MWR-D-19-0196.1
17. A very high-resolution assessment and modelling of urban air quality T. Wolf et al. https://doi.org/10.5194/acp-20-625-2020