40 citations as recorded by crossref.

1. Valid time shifting ensemble Kalman filter (VTS-EnKF) for dust storm forecasting M. Pang et al. 10.5194/gmd-17-8223-2024
2. A Novel Ensemble Design for Probabilistic Predictions of Fine Particulate Matter Over the Contiguous United States (CONUS) R. Kumar et al. 10.1029/2020JD032554
3. Chemical Weather and Chemical Climate G. Brasseur & R. Kumar 10.1029/2021AV000399
4. Real-time numerical source apportionment of PM2.5 concentrations over the Yangtze River Delta region, China G. Zhou et al. 10.1016/j.atmosenv.2020.118104
5. The Importance of Fundamental Science for Society: The Success Story of Ozone Research G. Brasseur 10.1029/2020CN000136
6. Application of random forest regression to the calculation of gas-phase chemistry within the GEOS-Chem chemistry model v10 C. Keller & M. Evans 10.5194/gmd-12-1209-2019
7. Synergy of Using Nadir and Limb Instruments for Tropospheric Ozone Monitoring (SUNLIT) V. Sofieva et al. 10.5194/amt-15-3193-2022
8. Modelling of the public health costs of fine particulate matter and results for Finland in 2015 J. Kukkonen et al. 10.5194/acp-20-9371-2020
9. Constraining emission estimates of carbon monoxide using a perturbed emissions ensemble with observations: a focus on Beijing L. Yuan et al. 10.1007/s11869-021-01041-7
10. Machine learning based bias correction for numerical chemical transport models M. Xu et al. 10.1016/j.atmosenv.2020.118022
11. Prediction of the Concentration and Source Contributions of PM2.5 and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System E. Siouti et al. 10.3390/atmos15010008
12. Chemistry‐Weather Interacted Model System GRAPES_Meso5.1/CUACE CW V1.0: Development, Evaluation and Application in Better Haze/Fog Prediction in China H. Wang et al. 10.1029/2022MS003222
13. Bioaerosols in the atmosphere at two sites in Northern Europe in spring 2021: Outline of an experimental campaign M. Sofiev et al. 10.1016/j.envres.2022.113798
14. Systematizing the approach to air quality measurement and analysis in low and middle income countries S. Gani et al. 10.1088/1748-9326/ac4a9e
15. Mitigated PM2.5Changes by the Regional Transport During the COVID‐19 Lockdown in Shanghai, China Y. Gu et al. 10.1029/2021GL092395
16. Air quality modeling intercomparison and multiscale ensemble chain for Latin America J. Pachón et al. 10.5194/gmd-17-7467-2024
17. Soft Computing Applications in Air Quality Modeling: Past, Present, and Future M. Rahman et al. 10.3390/su12104045
18. European pollen reanalysis, 1980–2022, for alder, birch, and olive M. Sofiev et al. 10.1038/s41597-024-03686-2
19. Ensemble forecasts of air quality in eastern China – Part 2: Evaluation of the MarcoPolo–Panda prediction system, version 1 A. Petersen et al. 10.5194/gmd-12-1241-2019
20. NOx Emissions Reduction and Rebound in China Due to the COVID‐19 Crisis J. Ding et al. 10.1029/2020GL089912
21. Snow Samples Combined With Long-Range Transport Modeling to Reveal the Origin and Temporal Variability of Black Carbon in Seasonal Snow in Sodankylä (67°N) O. Meinander et al. 10.3389/feart.2020.00153
22. Tree-ring N isotopic ratio increased with increasing latitude and decreasing N availability in pine stands across Finland A. Smolander et al. 10.1016/j.ecolind.2023.110604
23. Development and Application of the SmartAQ High-Resolution Air Quality and Source Apportionment Forecasting System for European Urban Areas E. Siouti et al. 10.3390/atmos13101693
24. Machine learning for observation bias correction with application to dust storm data assimilation J. Jin et al. 10.5194/acp-19-10009-2019
25. Optimization research on air quality numerical model forecasting effects based on deep learning methods W. Wang et al. 10.1016/j.atmosres.2022.106082
26. The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China C. Fan et al. 10.3390/rs12101613
27. Position correction in dust storm forecasting using LOTOS-EUROS v2.1: grid-distorted data assimilation v1.0 J. Jin et al. 10.5194/gmd-14-5607-2021
28. The effect of accounting for public holidays on the skills of the atmospheric composition model SILAM v.5.7 Y. Fatahi et al. 10.5194/gmd-14-7459-2021
29. Prediction of source contributions to urban background PM<sub>10</sub> concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 – Part 2: The city contribution M. Pommier 10.5194/gmd-14-4143-2021
30. Improving visibility forecasting during haze-fog processes in shanghai and eastern China: The significance of aerosol and hydrometeor extinction Y. Xie et al. 10.1016/j.atmosenv.2024.120756
31. Insights into Multi-Model Federated Learning: An Advanced Approach for Air Quality Index Forecasting D. Le et al. 10.3390/a15110434
32. Designing an automatic pollen monitoring network for direct usage of observations to reconstruct the concentration fields M. Sofiev et al. 10.1016/j.scitotenv.2023.165800
33. 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
34. Prediction of source contributions to urban background PM<sub>10</sub> concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions M. Pommier et al. 10.5194/gmd-13-1787-2020
35. Advances in air quality modeling and forecasting A. Baklanov & Y. Zhang 10.1016/j.glt.2020.11.001
36. Emission ensemble approach to improve the development of multi-scale emission inventories P. Thunis et al. 10.5194/gmd-17-3631-2024
37. Intercomparison of Air Quality Models in a Megacity: Toward an Operational Ensemble Forecasting System for São Paulo A. Deroubaix et al. 10.1029/2022JD038179
38. Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1) S. Rémy et al. 10.5194/gmd-12-4627-2019
39. Inverse modeling of the 2021 spring super dust storms in East Asia J. Jin et al. 10.5194/acp-22-6393-2022
40. Influence of anthropogenic emission inventories on simulations of air quality in China during winter and summer 2010 I. Bouarar et al. 10.1016/j.atmosenv.2018.10.043