8 citations as recorded by crossref.

1. Machine learning techniques to construct patched analog ensembles for data assimilation L. Yang & I. Grooms https://doi.org/10.1016/j.jcp.2021.110532
2. A hybrid particle-ensemble Kalman filter for problems with medium nonlinearity I. Grooms et al. https://doi.org/10.1371/journal.pone.0248266
3. Nested smoothing algorithms for inference and tracking of heterogeneous multi-scale state-space systems S. Pérez-Vieites et al. https://doi.org/10.3934/fods.2025002
4. Deep echo state networks with uncertainty quantification for spatio‐temporal forecasting P. McDermott & C. Wikle https://doi.org/10.1002/env.2553
5. Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data P. McDermott & C. Wikle https://doi.org/10.3390/e21020184
6. Multiscale Models in Geophysical Fluid Dynamics I. Grooms & K. Julien https://doi.org/10.1029/2018EA000439
7. Analog ensemble data assimilation and a method for constructing analogs with variational autoencoders I. Grooms https://doi.org/10.1002/qj.3910
8. Relaxation-based schemes for on-the-fly parameter estimation in dissipative dynamical systems V. Martinez et al. https://doi.org/10.1088/1361-6420/adc766