Time Series Reconstruction via Machine Learning: Revealing Decadal Variability and Intermittency in the North Pacific Sector of a Coupled Climate Model

Dimitrios Giannakis, Andrew J. Majda. Time Series Reconstruction via Machine Learning: Revealing Decadal Variability and Intermittency in the North Pacific Sector of a Coupled Climate Model. In Ashok N. Srivastava, Nitesh V. Chawla, Amal Shehan Perera, editors, Proceedings of the 2011 Conference on Intelligent Data Understanding, CIDU 2011, October 19-21, 2011, Mountain View, California, USA. pages 107-117, NASA Ames Research Center, 2011. [doi]

Abstract

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