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 CO 2 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 CO<sub>2</sub> 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. Toward reliable ensemble Kalman filter estimates of CO2fluxes A. Chatterjee et al. 10.1029/2012JD018176
9. Data assimilation with the weighted ensemble Kalman filter N. Papadakis et al. 10.1111/j.1600-0870.2010.00461.x
10. 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
11. Impact of 3D Var GSI-ENKF hybrid data assimilation system V. Prasad et al. 10.1007/s12040-016-0761-3
12. A shadowing-based inflation scheme for ensemble data assimilation T. Bellsky & L. Mitchell 10.1016/j.physd.2018.05.002
13. CO2transport uncertainties from the uncertainties in meteorological fields J. Liu et al. 10.1029/2011GL047213