8 citations as recorded by crossref.

1. The use of imprecise processing to improve accuracy in weather & climate prediction P. Düben et al. https://doi.org/10.1016/j.jcp.2013.10.042
2. The role of large-scale spatial patterns in the chaotic amplification of perturbations in a Lorenz’96 model S. Herrera et al. https://doi.org/10.1111/j.1600-0870.2011.00545.x
3. Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation G. Gottwald & S. Reich https://doi.org/10.1016/j.physd.2021.132911
4. Localized Schrödinger bridge sampler G. Gottwald & S. Reich https://doi.org/10.1016/j.jcp.2025.114583
5. Stochastically perturbed bred vectors in multi‐scale systems B. Giggins & G. Gottwald https://doi.org/10.1002/qj.3457
6. Exploiting the chaotic behaviour of atmospheric models with reconfigurable architectures F. Russell et al. https://doi.org/10.1016/j.cpc.2017.08.011
7. Sequential hierarchical Bayesian model and particle filter estimation with two-step RJMCMC resampling Y. Huan et al. https://doi.org/10.1016/j.csda.2025.108304
8. Quantification of Information Exchange in Idealized and Climate System Applications P. Pothapakula et al. https://doi.org/10.3390/e21111094