Reduced-space Gaussian Process Regression for data-driven probabilistic forecast of chaotic dynamical systems

标题
Reduced-space Gaussian Process Regression for data-driven probabilistic forecast of chaotic dynamical systems
作者
关键词
Data-driven prediction, Uncertainty quantification, Order-reduction, Gaussian Process Regression, T21 barotropic climate model, Lorenz 96
出版物
PHYSICA D-NONLINEAR PHENOMENA
Volume 345, Issue -, Pages 40-55
出版商
Elsevier BV
发表日期
2017-01-06
DOI
10.1016/j.physd.2016.12.005

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