25 citations as recorded by crossref.

1. Impact of tropical teleconnections on the long-range predictability of the atmosphere at midlatitudes: a reduced-order multi-scale model perspective S. Vannitsem 10.1088/2632-072X/ad04e8
2. Lyapunov analysis of multiscale dynamics: the slow bundle of the two-scale Lorenz 96 model M. Carlu et al. 10.5194/npg-26-73-2019
3. The Structure of Climate Variability Across Scales C. Franzke et al. 10.1029/2019RG000657
4. Multiple Equilibria in a Land–Atmosphere Coupled System D. Li et al. 10.1007/s13351-018-8012-y
5. GeophysicalFlows.jl: Solvers for geophysical fluid dynamics problems in periodic domains on CPUs GPUs N. Constantinou et al. 10.21105/joss.03053
6. Projected data assimilation using sliding window proper orthogonal decomposition A. Albarakati et al. 10.1016/j.jcp.2024.113235
7. On the use of near-neutral Backward Lyapunov Vectors to get reliable ensemble forecasts in coupled ocean–atmosphere systems S. Vannitsem & W. Duan 10.1007/s00382-020-05313-3
8. Comparison of stochastic parameterizations in the framework of a coupled ocean–atmosphere model J. Demaeyer & S. Vannitsem 10.5194/npg-25-605-2018
9. Predictability of large-scale atmospheric motions: Lyapunov exponents and error dynamics S. Vannitsem 10.1063/1.4979042
10. qgs: A flexible Python framework of reduced-order multiscale climate models J. Demaeyer et al. 10.21105/joss.02597
11. Multiscale fractal dimension analysis of a reduced order model of coupled ocean–atmosphere dynamics T. Alberti et al. 10.5194/esd-12-837-2021
12. A new mathematical framework for atmospheric blocking events V. Lucarini & A. Gritsun 10.1007/s00382-019-05018-2
13. Variability and predictability of a reduced-order land–atmosphere coupled model A. Xavier et al. 10.5194/esd-15-893-2024
14. Extratropical Low‐Frequency Variability With ENSO Forcing: A Reduced‐Order Coupled Model Study S. Vannitsem et al. 10.1029/2021MS002530
15. Combining data assimilation and machine learning to infer unresolved scale parametrization J. Brajard et al. 10.1098/rsta.2020.0086
16. Exploring the Lyapunov instability properties of high-dimensional atmospheric and climate models L. De Cruz et al. 10.5194/npg-25-387-2018
17. Correcting for model changes in statistical postprocessing – an approach based on response theory J. Demaeyer & S. Vannitsem 10.5194/npg-27-307-2020
18. Strongly Coupled Data Assimilation in Multiscale Media: Experiments Using a Quasi‐Geostrophic Coupled Model S. Penny et al. 10.1029/2019MS001652
19. On Temporal Scale Separation in Coupled Data Assimilation with the Ensemble Kalman Filter M. Tondeur et al. 10.1007/s10955-020-02525-z
20. Identifying Efficient Ensemble Perturbations for Initializing Subseasonal‐To‐Seasonal Prediction J. Demaeyer et al. 10.1029/2021MS002828
21. Multistability in a coupled ocean–atmosphere reduced‐order model: Nonlinear temperature equations O. Hamilton et al. 10.1002/qj.4564
22. Review article: Interdisciplinary perspectives on climate sciences – highlighting past and current scientific achievements V. Galfi et al. 10.5194/npg-31-185-2024
23. Routes to long‐term atmospheric predictability in reduced‐order coupled ocean–atmosphere systems: Impact of the ocean basin boundary conditions S. Vannitsem et al. 10.1002/qj.3594
24. Review article: Towards strongly coupled ensemble data assimilation with additional improvements from machine learning E. Kalnay et al. 10.5194/npg-30-217-2023
25. Evidence of coupling in ocean‐atmosphere dynamics over the North Atlantic S. Vannitsem & M. Ghil 10.1002/2016GL072229