QUANTIFYING PREDICTABILITY IN A SIMPLE MODEL WITH COMPLEX FEATURES

DOI10.1142/S021949370400122XzbMath1057.62109OpenAlexW2060723113MaRDI QIDQ4659535

Andrew J. Majda, David Cai, Kyle Haven

Publication date: 21 March 2005

Published in: Stochastics and Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s021949370400122x

zbMATH Keywords

relative entropychaotic dynamicspredictabilityensemble prediction

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to environmental and related topics (62P12) Dynamical systems in fluid mechanics, oceanography and meteorology (37N10) Meteorology and atmospheric physics (86A10) Statistical aspects of information-theoretic topics (62B10)

Related Items (3)

Rigorous statistical bounds in uncertainty quantification for one-layer turbulent geophysical flows ⋮ Quantifying dynamical predictability: the pseudo-ensemble approach ⋮ Quantifying predictability through information theory: small sample estimation in a non-Gaussian framework

Cites Work

• A Fast Newton Algorithm for Entropy Maximization in Phase Determination
• Remarkable statistical behavior for truncated Burgers–Hopf dynamics
• Statistical equilibrium predictions of jets and spots on Jupiter
• Quantifying predictability in a model with statistical features of the atmosphere

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