10 citations as recorded by crossref.

1. Study of conservation laws with the Local Ensemble Transform Kalman Filter Y. Zeng & T. Janjić https://doi.org/10.1002/qj.2829
2. Ensemble Transform Kalman Incremental Smoother and Its Application to Data Assimilation and Prediction Z. Lin et al. https://doi.org/10.3389/fams.2021.687743
3. Balanced data assimilation for highly oscillatory mechanical systems G. Hastermann et al. https://doi.org/10.2140/camcos.2021.16.119
4. Optimal Balance via Adiabatic Invariance of Approximate Slow Manifolds G. Gottwald et al. https://doi.org/10.1137/17M1124644
5. Ensemble‐type Kalman filter algorithm conserving mass, total energy and enstrophy Y. Zeng et al. https://doi.org/10.1002/qj.3142
6. Comparison of variational balance models for the rotating shallow water equations D. Dritschel et al. https://doi.org/10.1017/jfm.2017.292
7. Ensemble data assimilation in the Red Sea: sensitivity to ensemble selection and atmospheric forcing H. Toye et al. https://doi.org/10.1007/s10236-017-1064-1
8. Data assimilation errors due to incomplete accounting of balanced versus unbalanced moisture H. Ogrosky et al. https://doi.org/10.1002/qj.4942
9. Observers for Compressible Navier--Stokes Equation A. Apte et al. https://doi.org/10.1137/16M1060601
10. Characterizing noise and spurious convection in convective data assimilation H. Lange et al. https://doi.org/10.1002/qj.3162