10 citations as recorded by crossref.

1. Performance comparisons of the three data assimilation methods for improved predictability of PM2·5: Ensemble Kalman filter, ensemble square root filter, and three-dimensional variational methods U. Dash et al. 10.1016/j.envpol.2023.121099
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5. Valid time shifting ensemble Kalman filter (VTS-EnKF) for dust storm forecasting M. Pang et al. 10.5194/gmd-17-8223-2024
6. Data assimilation experiments over Europe with the Chemical Transport Model FARM M. Adani & F. Uboldi 10.1016/j.atmosenv.2023.119806
7. Correlation-split and Recombination-sort Interaction Networks for air quality forecasting Y. Feng et al. 10.1016/j.asoc.2023.110544
8. Deterministic ensemble Kalman filter based on two localization techniques for mitigating sampling errors with a quasi-geostrophic model M. Chang et al. 10.1007/s00703-024-01015-1
9. Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM<sub>2.5</sub> S. Park et al. 10.5194/gmd-15-2773-2022
10. A new hybrid models based on the neural network and discrete wavelet transform to identify the CHIMERE model limitation A. Ajdour et al. 10.1007/s11356-022-23084-8