22 citations as recorded by crossref.

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5. A Four Dimensional Variational Data Assimilation Framework for Wind Energy Potential Estimation E. Nino-Ruiz et al. 10.3390/atmos11020167
6. An ensemble framework for time delay synchronization F. Pinheiro et al. 10.1002/qj.3204
7. Improving flood inundation forecasts through the assimilation of in situ floodplain water level measurements based on alternative observation network configurations A. Van Wesemael et al. 10.1016/j.advwatres.2019.05.025
8. Implementation of Deterministic Weather Forecasting Systems Based on Ensemble–Variational Data Assimilation at Environment Canada. Part II: The Regional System J. Caron et al. 10.1175/MWR-D-14-00353.1
9. Rapid Update with EnVar Direct Radar Reflectivity Data Assimilation for the NOAA Regional Convection-Allowing NMMB Model over the CONUS: System Description and Initial Experiment Results Y. Wang & X. Wang 10.3390/atmos12101286
10. Survey of data assimilation methods for convective‐scale numerical weather prediction at operational centres N. Gustafsson et al. 10.1002/qj.3179
11. Kilometre‐scale ensemble data assimilation for the COSMO model (KENDA) C. Schraff et al. 10.1002/qj.2748
12. On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes O. Montoya et al. 10.1007/s11356-020-08268-4
13. Regional Ensemble–Variational Data Assimilation Using Global Ensemble Forecasts W. Wu et al. 10.1175/WAF-D-16-0045.1
14. Systematic Comparison of Four-Dimensional Data Assimilation Methods With and Without the Tangent Linear Model Using Hybrid Background Error Covariance: E4DVar versus 4DEnVar J. Poterjoy & F. Zhang 10.1175/MWR-D-14-00224.1
15. High-resolution data assimilation through stochastic subgrid tensor and parameter estimation from 4DEnVar Y. Yang & E. Memin 10.1080/16000870.2017.1308772
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19. Towards a Data-Derived Observation Error Covariance Matrix for Satellite Measurements Y. Liu et al. 10.3390/rs11151770
20. An adjoint-free four-dimensional variational data assimilation method via a modified Cholesky decomposition and an iterative Woodbury matrix formula E. Nino-Ruiz et al. 10.1007/s11071-019-05411-w
21. Characterizing viscoelastic materials via ensemble-based data assimilation of bubble collapse observations J. Spratt et al. 10.1016/j.jmps.2021.104455
22. Current and Emerging Time-Integration Strategies in Global Numerical Weather and Climate Prediction G. Mengaldo et al. 10.1007/s11831-018-9261-8