13 citations as recorded by crossref.

1. Controlling Overestimation of Error Covariance in Ensemble Kalman Filters with Sparse Observations: A Variance-Limiting Kalman Filter G. Gottwald et al. 10.1175/2011MWR3557.1
2. Comparison between the Local Ensemble Transform Kalman Filter (LETKF) and 4D‐Var in atmospheric CO2 flux inversion with the Goddard Earth Observing System‐Chem model and the observation impact diagnostics from the LETKF J. Liu et al. 10.1002/2016JD025100
3. Technical Note: Comparison of ensemble Kalman filter and variational approaches for CO2 data assimilation A. Chatterjee & A. Michalak 10.5194/acp-13-11643-2013
4. Observation bias correction with an ensemble Kalman filter E. Fertig et al. 10.1111/j.1600-0870.2008.00378.x
5. A mechanism for catastrophic filter divergence in data assimilation for sparse observation networks G. Gottwald & A. Majda 10.5194/npg-20-705-2013
6. Impact of hybrid GSI analysis using ETR ensembles V. Prasad & C. Johny 10.1007/s12040-016-0673-2
7. Initializing the WRF Model with Tropical Cyclone Real-Time Reports Using the Ensemble Kalman Filter Algorithm T. Du et al. 10.1007/s00024-017-1568-0
8. Data assimilation with the weighted ensemble Kalman filter N. Papadakis et al. 10.1111/j.1600-0870.2010.00461.x
9. Controlling model error of underdamped forecast models in sparse observational networks using a variance‐limiting Kalman filter L. Mitchell & G. Gottwald 10.1002/qj.1968
10. Impact of 3D Var GSI-ENKF hybrid data assimilation system V. Prasad et al. 10.1007/s12040-016-0761-3
11. A shadowing-based inflation scheme for ensemble data assimilation T. Bellsky & L. Mitchell 10.1016/j.physd.2018.05.002
12. Examining the Predictability of Tropical Cyclogenesis over the East Sea of Vietnam through the Ensemble-Based Data Assimilation System D. Hoa et al. 10.3390/atmos14111671
13. CO2transport uncertainties from the uncertainties in meteorological fields J. Liu et al. 10.1029/2011GL047213