22 citations as recorded by crossref.

1. Comparison of Hybrid-4DEnVar and Hybrid-4DVar Data Assimilation Methods for Global NWP A. Lorenc et al.
2. A review of operational methods of variational and ensemble‐variational data assimilation R. Bannister
3. Use of Microwave Radiances from Metop-C and Fengyun-3 C/D Satellites for a Northern European Limited-area Data Assimilation System M. Lindskog et al.
4. Impact of non‐stationarity on hybrid ensemble filters: A study with a doubly stochastic advection‐diffusion‐decay model M. Tsyrulnikov & A. Rakitko
5. All-sky infrared radiance data assimilation of FY-4A AGRI with different physical parameterizations for the prediction of an extremely heavy rainfall event D. Xu et al.
6. A comparison between EDA-EnVar and ETKF-EnVar data assimilation techniques using radar observations at convective scales through a case study of Hurricane Ike (2008) F. Shen et al.
7. Methods for Observation Data Assimilation in Problems of Physics of Atmosphere and Ocean V. Shutyaev
8. On the Use of Cost-Effective Valid-Time-Shifting (VTS) Method to Increase Ensemble Size in the GFS Hybrid 4DEnVar System B. Huang & X. Wang
9. The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review Z. Sokol et al.
10. Applying Time-Expended Sampling to Ensemble Assimilation of Remote-Sensing Data for Short-Term Predictions of Thunderstorms H. Zhang et al.
11. A 3D ensemble variational data assimilation scheme for the limited‐area AROME model: Formulation and preliminary results T. Montmerle et al.
12. An Adaptive Variance Adjustment Strategy for a Static Background Error Covariance Matrix—Part I: Verification in the Lorenz-96 Model L. Huang et al.
13. Numerical Simulation of Ocean Circulation with Ultrahigh Spatial Resolution G. Korotaev & V. Shutyaev
14. Optimized Localization and Hybridization to Filter Ensemble-Based Covariances B. Ménétrier & T. Auligné
15. Assimilation of Doppler Radar Data with an Ensemble 3DEnVar Approach to Improve Convective Forecasting S. Gao et al.
16. Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al.
17. Improving Background Error Covariances in a 3D Ensemble–Variational Data Assimilation System for Regional NWP J. Caron et al.
18. Towards a Data-Derived Observation Error Covariance Matrix for Satellite Measurements Y. Liu et al.
19. Efficient Regional Hybrid Ensemble-Variational Data Assimilation using the Global-Ensemble-Model-Augmented Error Covariance for Numerical Weather Prediction over Eastern China Y. Wang et al.
20. Application of 3-D ensemble variational data assimilation to a Baltic Sea reanalysis 19892013 L. Axell & Y. Liu
21. Four-dimensional ensemble variational (4D-En-Var) data assimilation for the HIgh Resolution Limited Area Model (HIRLAM) N. Gustafsson & J. Bojarova
22. Regional Ensemble–Variational Data Assimilation Using Global Ensemble Forecasts W. Wu et al.