12 citations as recorded by crossref.

1. Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models M. Bocquet et al. https://doi.org/10.5194/acp-15-5325-2015
2. Modelling of the public health costs of fine particulate matter and results for Finland in 2015 J. Kukkonen et al. https://doi.org/10.5194/acp-20-9371-2020
3. A New Approach to Solving the Problem of Atmospheric Air Pollution in the Industrial City Z. Oralbekova et al. https://doi.org/10.1155/2021/8970949
4. Synergy of Using Nadir and Limb Instruments for Tropospheric Ozone Monitoring (SUNLIT) V. Sofieva et al. https://doi.org/10.5194/amt-15-3193-2022
5. Surface data assimilation of chemical compounds over North America and its impact on air quality and Air Quality Health Index (AQHI) forecasts A. Robichaud https://doi.org/10.1007/s11869-017-0485-9
6. A regional air quality forecasting system over Europe: the MACC-II daily ensemble production V. Marécal et al. https://doi.org/10.5194/gmd-8-2777-2015
7. Tree-ring N isotopic ratio increased with increasing latitude and decreasing N availability in pine stands across Finland A. Smolander et al. https://doi.org/10.1016/j.ecolind.2023.110604
8. Lightweight Open Data Assimilation of Pan-European Urban Air Quality L. Miasayedava et al. https://doi.org/10.1109/ACCESS.2023.3302348
9. On possibilities of assimilation of near-real-time pollen data by atmospheric composition models M. Sofiev https://doi.org/10.1007/s10453-019-09583-1
10. Comparison of tropospheric NO2 columns from MAX-DOAS retrievals and regional air quality model simulations A. Blechschmidt et al. https://doi.org/10.5194/acp-20-2795-2020
11. Air Pollution in Moscow Megacity: Data Fusion of the Chemical Transport Model and Observational Network N. Ponomarev et al. https://doi.org/10.3390/atmos12030374
12. Copernicus Atmosphere Monitoring Service – Regional Air Quality Production System v1.0 A. Colette et al. https://doi.org/10.5194/gmd-18-6835-2025