78 citations as recorded by crossref.

1. Disentangling multi-level systems: averaging, correlations and memory J. Wouters & V. Lucarini https://doi.org/10.1088/1742-5468/2012/03/P03003
2. Mathematical and physical ideas for climate science V. Lucarini et al. https://doi.org/10.1002/2013RG000446
3. Practical Approximations to Seasonal Fluctuation–Dissipation Operators Given a Limited Sample D. Fuchs & S. Sherwood https://doi.org/10.1175/JAS-D-15-0279.1
4. Theoretical foundations of emergent constraints: relationships between climate sensitivity and global temperature variability in conceptual models M. Williamson et al. https://doi.org/10.1093/climsys/dzy006
5. Linear response for intermittent maps with critical point J. Leppänen https://doi.org/10.1088/1361-6544/ad2b15
6. Response formulae forn-point correlations in statistical mechanical systems and application to a problem of coarse graining V. Lucarini & J. Wouters https://doi.org/10.1088/1751-8121/aa812c
7. On the Lorenz '96 model and some generalizations J. Kerin & H. Engler https://doi.org/10.3934/dcdsb.2021064
8. Stochastic climate theory and modeling C. Franzke et al. https://doi.org/10.1002/wcc.318
9. Predicting Climate Change Using Response Theory: Global Averages and Spatial Patterns V. Lucarini et al. https://doi.org/10.1007/s10955-016-1506-z
10. Reconciling the signal and noise of atmospheric warming on decadal timescales R. Jones & J. Ricketts https://doi.org/10.5194/esd-8-177-2017
11. From reliable weather forecasts to skilful climate response: A dynamical systems approach H. Christensen & J. Berner https://doi.org/10.1002/qj.3476
12. Detecting time-irreversibility in multiscale systems: Correlation and response functions in the Lorenz96 model N. Cocciaglia & D. Lucente https://doi.org/10.1063/5.0248658
13. Covariant Lyapunov vectors of a quasi‐geostrophic baroclinic model: analysis of instabilities and feedbacks S. Schubert & V. Lucarini https://doi.org/10.1002/qj.2588
14. Global instability in the Ghil–Sellers model T. Bódai et al. https://doi.org/10.1007/s00382-014-2206-5
15. Edge states in the climate system: exploring global instabilities and critical transitions V. Lucarini & T. Bódai https://doi.org/10.1088/1361-6544/aa6b11
16. Kolmogorov modes and linear response of jump-diffusion models M. Chekroun et al. https://doi.org/10.1088/1361-6633/ae2206
17. Climate Dependence in Empirical Parameters of Subgrid-Scale Parameterizations using the Fluctuation–Dissipation Theorem M. Pieroth et al. https://doi.org/10.1175/JAS-D-18-0022.1
18. Travelling waves and their bifurcations in the Lorenz-96 model D. van Kekem & A. Sterk https://doi.org/10.1016/j.physd.2017.11.008
19. On some aspects of the response to stochastic and deterministic forcings M. Santos Gutiérrez & V. Lucarini https://doi.org/10.1088/1751-8121/ac90fd
20. Estimating freshwater flux amplification with ocean tracers via linear response theory A. Basinski-Ferris & L. Zanna https://doi.org/10.5194/esd-15-323-2024
21. Towards a General Theory of Extremes for Observables of Chaotic Dynamical Systems V. Lucarini et al. https://doi.org/10.1007/s10955-013-0914-6
22. Nambu representation of an extended Lorenz model with viscous heating R. Blender & V. Lucarini https://doi.org/10.1016/j.physd.2012.09.007
23. Response Operators for Markov Processes in a Finite State Space: Radius of Convergence and Link to the Response Theory for Axiom A Systems V. Lucarini https://doi.org/10.1007/s10955-015-1409-4
24. Linear and fractional response for the SRB measure of smooth hyperbolic attractors and discontinuous observables V. Baladi et al. https://doi.org/10.1088/1361-6544/aa5b13
25. Fluctuations, response, and resonances in a simple atmospheric model A. Gritsun & V. Lucarini https://doi.org/10.1016/j.physd.2017.02.015
26. Temperature response in nonequilibrium stochastic systems G. Falasco & M. Baiesi https://doi.org/10.1209/0295-5075/113/20005
27. A proof of concept for scale‐adaptive parametrizations: the case of the Lorenz '96 model G. Vissio & V. Lucarini https://doi.org/10.1002/qj.3184
28. Heterogeneity of the attractor of the Lorenz ’96 model: Lyapunov analysis, unstable periodic orbits, and shadowing properties C. Maiocchi et al. https://doi.org/10.1016/j.physd.2023.133970
29. Detection and prediction of equilibrium states in kinetic plasma simulations via mode tracking using reduced-order dynamic mode decomposition I. Nayak et al. https://doi.org/10.1016/j.jcp.2021.110671
30. A new framework for climate sensitivity and prediction: a modelling perspective F. Ragone et al. https://doi.org/10.1007/s00382-015-2657-3
31. A general framework for linking free and forced fluctuations via Koopmanism V. Lucarini et al. https://doi.org/10.1016/j.chaos.2025.117540
32. Elements of a unified framework for response formulae M. Colangeli & V. Lucarini https://doi.org/10.1088/1742-5468/2014/01/P01002
33. Statistical and dynamical properties of covariant lyapunov vectors in a coupled atmosphere-ocean model—multiscale effects, geometric degeneracy, and error dynamics S. Vannitsem & V. Lucarini https://doi.org/10.1088/1751-8113/49/22/224001
34. Equivalence of Non-equilibrium Ensembles and Representation of Friction in Turbulent Flows: The Lorenz 96 Model G. Gallavotti & V. Lucarini https://doi.org/10.1007/s10955-014-1051-6
35. Linear response for macroscopic observables in high-dimensional systems C. Wormell & G. Gottwald https://doi.org/10.1063/1.5122740
36. Numerical aspects of applying the fluctuation dissipation theorem to study climate system sensitivity to external forcings A. Gritsun & G. Branstator https://doi.org/10.1515/rnam-2016-0032
37. Wave propagation in the Lorenz-96 model D. van Kekem & A. Sterk https://doi.org/10.5194/npg-25-301-2018
38. Dynamical analysis of blocking events: spatial and temporal fluctuations of covariant Lyapunov vectors S. Schubert & V. Lucarini https://doi.org/10.1002/qj.2808
39. Predictors and predictands of linear response in spatially extended systems U. Tomasini & V. Lucarini https://doi.org/10.1140/epjs/s11734-021-00158-1
40. Structural origins and real-time predictors of intermittency A. Barone et al. https://doi.org/10.1063/5.0287572
41. Estimation of the local response to a forcing in a high dimensional system using the fluctuation-dissipation theorem F. Cooper et al. https://doi.org/10.5194/npg-20-239-2013
42. Response theory and phase transitions for the thermodynamic limit of interacting identical systems V. Lucarini et al. https://doi.org/10.1098/rspa.2020.0688
43. Linear Response for a Family of Self-consistent Transfer Operators F. Sélley & M. Tanzi https://doi.org/10.1007/s00220-021-03983-6
44. The Fluctuation–Dissipation Theorem Revisited: Beyond the Gaussian Approximation C. Nicolis & G. Nicolis https://doi.org/10.1175/JAS-D-14-0391.1
45. An ergodic-averaging method to differentiate covariant Lyapunov vectors N. Chandramoorthy & Q. Wang https://doi.org/10.1007/s11071-021-06478-0
46. Extreme value statistics for dynamical systems with noise D. Faranda et al. https://doi.org/10.1088/0951-7715/26/9/2597
47. Evaluating climate emulation: fundamental impulse testing of simple climate models A. Schwarber et al. https://doi.org/10.5194/esd-10-729-2019
48. Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 1: Method development and toy model demonstration G. Torres Mendonça et al. https://doi.org/10.5194/npg-28-501-2021
49. Relevance of sampling schemes in light of Ruelle's linear response theory V. Lucarini et al. https://doi.org/10.1088/0951-7715/25/5/1311
50. Bridging the Gap Between Koopmanism and Response Theory: Using Natural Variability to Predict Forced Response N. Zagli et al. https://doi.org/10.1137/24M1699206
51. An update on the nonequilibrium linear response M. Baiesi & C. Maes https://doi.org/10.1088/1367-2630/15/1/013004
52. Universal Behaviour of Extreme Value Statistics for Selected Observables of Dynamical Systems V. Lucarini et al. https://doi.org/10.1007/s10955-012-0468-z
53. Predictability of Extreme Waves in the Lorenz-96 Model Near Intermittency and Quasi-Periodicity A. Sterk & D. van Kekem https://doi.org/10.1155/2017/9419024
54. Hamiltonian Lorenz-like models F. Fedele et al. https://doi.org/10.1016/j.physd.2024.134494
55. Stochastic Perturbations to Dynamical Systems: A Response Theory Approach V. Lucarini https://doi.org/10.1007/s10955-012-0422-0
56. Nonequilibrium Ensemble Averages Using Nonlinear Response Relations M. Santos Gutiérrez et al. https://doi.org/10.1007/s10955-026-03710-2
57. Projections of the Transient State‐Dependency of Climate Feedbacks R. Bastiaansen et al. https://doi.org/10.1029/2021GL094670
58. Can we use linear response theory to assess geoengineering strategies? T. Bódai et al. https://doi.org/10.1063/1.5122255
59. Detecting and Attributing Change in Climate and Complex Systems: Foundations, Green’s Functions, and Nonlinear Fingerprints V. Lucarini & M. Chekroun https://doi.org/10.1103/PhysRevLett.133.244201
60. Progressing emergent constraints on future climate change A. Hall et al. https://doi.org/10.1038/s41558-019-0436-6
61. Leading Order Response of Statistical Averages of a Dynamical System to Small Stochastic Perturbations R. Abramov https://doi.org/10.1007/s10955-017-1721-2
62. Beyond Forcing Scenarios: Predicting Climate Change through Response Operators in a Coupled General Circulation Model V. Lembo et al. https://doi.org/10.1038/s41598-020-65297-2
63. The wind-driven ocean circulation: Applying dynamical systems theory to a climate problem M. Ghil https://doi.org/10.3934/dcds.2017008
64. Climate response and sensitivity: time scales and late tipping points R. Bastiaansen et al. https://doi.org/10.1098/rspa.2022.0483
65. Multi-level Dynamical Systems: Connecting the Ruelle Response Theory and the Mori-Zwanzig Approach J. Wouters & V. Lucarini https://doi.org/10.1007/s10955-013-0726-8
66. Beyond the linear fluctuation-dissipation theorem: the role of causality V. Lucarini & M. Colangeli https://doi.org/10.1088/1742-5468/2012/05/P05013
67. Lyapunov analysis of multiscale dynamics: the slow bundle of the two-scale Lorenz 96 model M. Carlu et al. https://doi.org/10.5194/npg-26-73-2019
68. Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 2: Application to the land carbon cycle in the MPI Earth System Model G. Torres Mendonça et al. https://doi.org/10.5194/npg-28-533-2021
69. Avalanches, breathers, and flow reversal in a continuous Lorenz-96 model R. Blender et al. https://doi.org/10.1103/PhysRevE.88.013201
70. On spurious detection of linear response and misuse of the fluctuation–dissipation theorem in finite time series G. Gottwald et al. https://doi.org/10.1016/j.physd.2016.05.010
71. Stochastic Parameterization: Toward a New View of Weather and Climate Models J. Berner et al. https://doi.org/10.1175/BAMS-D-15-00268.1
72. A mathematical approach to understanding emergent constraints F. Nijsse & H. Dijkstra https://doi.org/10.5194/esd-9-999-2018
73. Level Hitting Probabilities and Extremal Indexes for Some Particular Dynamical Systems G. Haiman https://doi.org/10.1007/s11009-017-9573-4
74. Revising and Extending the Linear Response Theory for Statistical Mechanical Systems: Evaluating Observables as Predictors and Predictands V. Lucarini https://doi.org/10.1007/s10955-018-2151-5
75. The physics of climate variability and climate change M. Ghil & V. Lucarini https://doi.org/10.1103/RevModPhys.92.035002
76. Analysis of a bistable climate toy model with physics-based machine learning methods M. Gelbrecht et al. https://doi.org/10.1140/epjs/s11734-021-00175-0
77. Mechanics and thermodynamics of a new minimal model of the atmosphere G. Vissio & V. Lucarini https://doi.org/10.1140/epjp/s13360-020-00814-w
78. On the Validity of Linear Response Theory in High-Dimensional Deterministic Dynamical Systems C. Wormell & G. Gottwald https://doi.org/10.1007/s10955-018-2106-x