16 citations as recorded by crossref.

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7. Deep Learning-Enhanced Ensemble-Based Data Assimilation for High-Dimensional Nonlinear Dynamical Systems A. Chattopadhyay et al. 10.2139/ssrn.4142015
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9. Toward Utilizing Similarity in Hydrologic Data Assimilation H. Lee et al. 10.3390/hydrology11110177
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11. Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods O. Dunbar et al. 10.1137/21M1410853
12. A testbed for geomagnetic data assimilation K. Gwirtz et al. 10.1093/gji/ggab327
13. Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems A. Chattopadhyay et al. 10.1016/j.jcp.2023.111918
14. Bayesian spatiotemporal modeling for inverse problems S. Lan et al. 10.1007/s11222-023-10253-z
15. Estimating parameters of the nonlinear cloud and rain equation from a large-eddy simulation S. Lunderman et al. 10.1016/j.physd.2020.132500
16. Training Physics‐Based Machine‐Learning Parameterizations With Gradient‐Free Ensemble Kalman Methods I. Lopez‐Gomez et al. 10.1029/2022MS003105