41 citations as recorded by crossref.

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5. Projections of shipping emissions and the related impact on air pollution and human health in the Nordic region C. Geels et al. 10.5194/acp-21-12495-2021
6. Decoupling impacts of weather conditions on interannual variations in concentrations of criteria air pollutants in South China – constraining analysis uncertainties by using multiple analysis tools Y. Lin et al. 10.5194/acp-22-16073-2022
7. A machine learning approach to quantify meteorological drivers of ozone pollution in China from 2015 to 2019 X. Weng et al. 10.5194/acp-22-8385-2022
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9. A New Index Developed for Fast Diagnosis of Meteorological Roles in Ground-Level Ozone Variations W. Chen et al. 10.1007/s00376-021-1257-x
10. Elevated Formation of Particulate Nitrate From N2O5 Hydrolysis in the Yangtze River Delta Region From 2011 to 2019 M. Zhou et al. 10.1029/2021GL097393
11. Temperature dependence of tropospheric ozone under NOx reductions over Germany N. Otero et al. 10.1016/j.atmosenv.2021.118334
12. Temporal and spatial analysis of ozone concentrations in Europe based on timescale decomposition and a multi-clustering approach E. Boleti et al. 10.5194/acp-20-9051-2020
13. Trends in ambient O3 concentrations at twelve sites in the Czech Republic over the past three decades: Close inspection of development I. Hůnová et al. 10.1016/j.scitotenv.2020.141038
14. Assessment of air pollution due to ozone in the north-east region Romania A. Nistor et al. 10.15551/pesd2021152014
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16. A Machine Learning Approach to Investigate the Surface Ozone Behavior R. Gagliardi & C. Andenna 10.3390/atmos11111173
17. The AirGAM 2022r1 air quality trend and prediction model S. Walker et al. 10.5194/gmd-16-573-2023
18. Ozone pollution mitigation strategy informed by long-term trends of atmospheric oxidation capacity W. Wang et al. 10.1038/s41561-023-01334-9
19. Source attribution of European surface O<sub>3</sub> using a tagged O<sub>3</sub> mechanism A. Lupaşcu & T. Butler 10.5194/acp-19-14535-2019
20. Drivers of Increasing Ozone during the Two Phases of Clean Air Actions in China 2013–2020 Y. Liu et al. 10.1021/acs.est.3c00054
21. Meteorological influences on daily variation and trend of summertime surface ozone over years of 2015–2020: Quantification for cities in the Yangtze River Delta J. Qian et al. 10.1016/j.scitotenv.2022.155107
22. Calibrating low-cost sensors to measure vertical and horizontal gradients of NO2 and O3 pollution in three street canyons in Berlin S. Schmitz et al. 10.1016/j.atmosenv.2023.119830
23. A cautious note advocating the use of ensembles of models and driving data in modeling of regional ozone burdens J. Karlický et al. 10.1007/s11869-024-01516-3
24. Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences K. Li et al. 10.5194/acp-20-11423-2020
25. The Seesaw Pattern of PM2.5 Interannual Anomalies Between Beijing‐Tianjin‐Hebei and Yangtze River Delta Across Eastern China in Winter X. Liu et al. 10.1029/2021GL095878
26. Revealing the driving effect of emissions and meteorology on PM2.5 and O3 trends through a new algorithmic model D. Wang et al. 10.1016/j.chemosphere.2022.133756
27. Shifting summer holidays in Spain as an adaptation measure to climate change J. Garrido-Perez et al. 10.1016/j.scitotenv.2023.166879
28. Ozone response to precursors changes in the Chengdu-Chongqing economic circle, China, from satellite and ground-based observations J. Ren et al. 10.1016/j.scitotenv.2024.176037
29. Update and evaluation of the ozone dry deposition in Oslo CTM3 v1.0 S. Falk & A. Søvde Haslerud 10.5194/gmd-12-4705-2019
30. Four years of National Clean Air Programme (NCAP) in Indian cities: Assessment of the impact on surface ozone during the period 2018–2022 G. Gopikrishnan & J. Kuttippurath 10.1016/j.scs.2024.105207
31. The differing impact of air stagnation on summer ozone across Europe J. Garrido-Perez et al. 10.1016/j.atmosenv.2019.117062
32. An exploratory performance assessment of the CHIMERE model (version 2017r4) for the northwestern Iberian Peninsula and the summer season S. Brands et al. 10.5194/gmd-13-3947-2020
33. The effect of current and future maternal exposure to near-surface ozone on preterm birth in 30 European countries—an EU-wide health impact assessment J. Ekland et al. 10.1088/1748-9326/abe6c4
34. Trend analysis of measured surface ozone at the megacity of Tehran for the summertime 2007–2021 N. Kaffashzadeh et al. 10.1016/j.atmosenv.2023.120289
35. Observation-based sources evolution of non-methane hydrocarbons (NMHCs) in a megacity of China Y. Peng et al. 10.1016/j.jes.2022.01.040
36. Interannual variations, sources, and health impacts of the springtime ozone in Shanghai X. Li & G. Fan 10.1016/j.envpol.2022.119458
37. An intercomparison of weather normalization of PM2.5 concentration using traditional statistical methods, machine learning, and chemistry transport models H. Zheng et al. 10.1038/s41612-023-00536-7
38. Revealing the drivers of surface ozone pollution by explainable machine learning and satellite observations in Hangzhou Bay, China T. Yao et al. 10.1016/j.jclepro.2024.140938
39. Clustering-based spatial transfer learning for short-term ozone forecasting T. Deng et al. 10.1016/j.hazadv.2022.100168
40. Dynamic evaluation of modeled ozone concentrations in Germany with four chemistry transport models M. Thürkow et al. 10.1016/j.scitotenv.2023.167665
41. Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions M. Qiu et al. 10.5194/acp-22-10551-2022