5 citations as recorded by crossref.

1. Assimilating a blended dataset of satellite-based estimations and in situ observations to improve WRF-Chem PM2.5 prediction X. Ma et al. https://doi.org/10.1016/j.atmosenv.2023.120284
2. An approach to refining the ground meteorological observation stations for improving PM2.5 forecasts in the Beijing–Tianjin–Hebei region L. Yang et al. https://doi.org/10.5194/gmd-16-3827-2023
3. The assessment of potential observability for joint chemical states and emissions in atmospheric modelings X. Wu et al. https://doi.org/10.1007/s00477-021-02113-x
4. Sensitive areas for target observation associated with meteorological forecasts for dust storm events in the Beijing–Tianjin–Hebei region L. Yang & W. Duan https://doi.org/10.1002/qj.4975
5. Efficient ensemble generation for uncertain correlated parameters in atmospheric chemical models: a case study for biogenic emissions from EURAD-IM version 5 A. Vogel & H. Elbern https://doi.org/10.5194/gmd-14-5583-2021