11 citations as recorded by crossref.

1. Bridging the weather and climate divide with artificial intelligence G. Camps-Valls et al. https://doi.org/10.1038/s41467-026-75787-y
2. Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators A. Mahesh et al. https://doi.org/10.5194/gmd-18-5605-2025
3. AI-Boosted Rare Event Sampling to Characterize Extreme Weather A. Lancelin et al. https://doi.org/10.1103/b1gc-9c2q
4. Kilometer-scale convection-allowing model emulation using generative diffusion modeling J. Pathak et al. https://doi.org/10.1126/sciadv.adv0423
5. Samudra: An AI Global Ocean Emulator for Climate S. Dheeshjith et al. https://doi.org/10.1029/2024GL114318
6. A Practical Probabilistic Benchmark for AI Weather Models N. Brenowitz et al. https://doi.org/10.1029/2024GL113656
7. Investigation of local scour predictions beneath a submerged cylinder using Fourier neural operator variants H. Nazari et al. https://doi.org/10.1063/5.0321428
8. Spread/error relationship and spatial error representation in precipitation nowcasting: comparison of STEPS and generative AI M. Bonte et al. https://doi.org/10.5194/wcd-7-1837-2026
9. Snow-eater heat waves of the western United States A. Rhoades et al. https://doi.org/10.1126/sciadv.aeb3361
10. Evaluation of AI-based seasonal weather ensembles as input for fluvial flood risk estimation: a case study over the Elbe basin J. Ashcroft et al. https://doi.org/10.5194/nhess-26-3129-2026
11. Boosting weather forecast via generative superensemble C. Nai et al. https://doi.org/10.1038/s41612-025-01255-x