16 citations as recorded by crossref.

1. Weight interpolation for efficient data assimilation with the Local Ensemble Transform Kalman Filter S. Yang et al. https://doi.org/10.1002/qj.353
2. Multi-species chemical data assimilation with the Danish Eulerian hemispheric model: system description and verification J. Silver et al. https://doi.org/10.1007/s10874-015-9326-0
3. Comparing the Assimilation of SMOS Brightness Temperatures and Soil Moisture Products on Hydrological Simulation in the Canadian Land Surface Scheme M. Nambiar et al. https://doi.org/10.3390/rs12203405
4. Nonglobal Parameter Estimation Using Local Ensemble Kalman Filtering T. Bellsky et al. https://doi.org/10.1175/MWR-D-13-00200.1
5. Comparison of Local Ensemble Transform Kalman Filter, 3DVAR, and 4DVAR in a Quasigeostrophic Model S. Yang et al. https://doi.org/10.1175/2008MWR2396.1
6. Controlling Noise in Ensemble Data Assimilation Schemes M. Peña et al. https://doi.org/10.1175/2009MWR2854.1
7. Bred Vectors and Tropical Pacific Forecast Errors in the NASA Coupled General Circulation Model S. Yang et al. https://doi.org/10.1175/2007MWR2118.1
8. Beating the Uncertainties: Ensemble Forecasting and Ensemble‐Based Data Assimilation in Modern Numerical Weather Prediction H. Zhang et al. https://doi.org/10.1155/2010/432160
9. Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error C. Grudzien et al. https://doi.org/10.5194/npg-25-633-2018
10. Kalman filter data assimilation: Targeting observations and parameter estimation T. Bellsky et al. https://doi.org/10.1063/1.4871916
11. Ensemble singular vectors and their use as additive inflation in EnKF S. Yang et al. https://doi.org/10.3402/tellusa.v67.26536
12. Hybrid Gain Data Assimilation Using Variational Corrections in the Subspace Orthogonal to the Ensemble C. Chang et al. https://doi.org/10.1175/MWR-D-19-0128.1
13. 4-D-Var or ensemble Kalman filter? E. Kalnay et al. https://doi.org/10.1111/j.1600-0870.2007.00261.x
14. Efficient Local Error Parameterizations for Square Root or Ensemble Kalman Filters: Application to a Basin-Scale Ocean Turbulent Flow J. Brankart et al. https://doi.org/10.1175/2010MWR3310.1
15. Data assimilation in a system with two scales—combining two initialization techniques J. Ballabrera-Poy et al. https://doi.org/10.1111/j.1600-0870.2009.00400.x
16. Accounting for Model Errors in Ensemble Data Assimilation H. Li et al. https://doi.org/10.1175/2009MWR2766.1