On the importance of the convergence to climate attractors
暂无分享,去创建一个
Tamás Bódai | Tamás Tél | Gábor Drótos | T. Tél | G. Drótos | T. Bódai
[1] Valerio Lucarini,et al. Predicting Climate Change Using Response Theory: Global Averages and Spatial Patterns , 2015, Journal of Statistical Physics.
[2] Tamás Bódai,et al. Fractal snapshot components in chaos induced by strong noise. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[3] Michael Ghil,et al. Exploring the Pullback Attractors of a Low-Order Quasigeostrophic Ocean Model: The Deterministic Case , 2016 .
[4] C. Deser,et al. Communication of the role of natural variability in future North American climate , 2012 .
[5] Axel Timmermann,et al. Internal and forced climate variability during the last millennium: a model-data comparison using ensemble simulations , 2005 .
[6] Grebogi,et al. Multifractal properties of snapshot attractors of random maps. , 1990, Physical review. A, Atomic, molecular, and optical physics.
[8] C. Kuehn. Multiple Time Scale Dynamics , 2015 .
[9] C. Deser,et al. Uncertainty in climate change projections: the role of internal variability , 2012, Climate Dynamics.
[10] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[11] Tamás Bódai,et al. Probabilistic Concepts in a Changing Climate: A Snapshot Attractor Picture , 2015 .
[12] Heiko Jansen,et al. The Planet Simulator: Towards a user friendly model , 2005 .
[13] K.,et al. The Community Earth System Model (CESM) large ensemble project: a community resource for studying climate change in the presence of internal climate variability , 2015 .
[14] Christopher K. Wikle,et al. Atmospheric Modeling, Data Assimilation, and Predictability , 2005, Technometrics.
[15] E. Ott. Chaos in Dynamical Systems: Contents , 1993 .
[16] Tamás Tél,et al. The theory of parallel climate realizations as a new framework for teleconnection analysis , 2017, Scientific Reports.
[17] Tamás Tél,et al. Probabilistic concepts in intermediate-complexity climate models: A snapshot attractor picture , 2016 .
[18] J D Daron,et al. On quantifying the climate of the nonautonomous Lorenz-63 model. , 2015, Chaos.
[19] Valerio Lucarini,et al. A new framework for climate sensitivity and prediction: a modelling perspective , 2014, Climate Dynamics.
[20] Pierre Gaspard,et al. Chaos, Scattering and Statistical Mechanics , 1998 .
[21] Uwe Harlander,et al. Temperature fluctuations in a changing climate: an ensemble-based experimental approach , 2017, Scientific Reports.
[22] Tamás Bódai,et al. Annual variability in a conceptual climate model: snapshot attractors, hysteresis in extreme events, and climate sensitivity. , 2012, Chaos.
[23] Michael Ghil,et al. Climate dynamics and fluid mechanics: Natural variability and related uncertainties , 2008, 1006.2864.
[24] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[25] Michael Ghil,et al. Stochastic climate dynamics: Random attractors and time-dependent invariant measures , 2011 .