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

Paper Info

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

Year	Venue	Field
2011	CIDU	Singular value decomposition,Ocean gyre,Climate model,Nonlinear system,Computer science,Pacific decadal oscillation,Intermittency,Singular spectrum analysis,Climatology,Spatial ecology
DocType	Citations	PageRank
Conference	3	0.55
References	Authors
1	2

Authors (2 rows)

Cited by (3 rows)

References (1 rows)

Name	Order	Citations	PageRank
Dimitrios Giannakis	1	5	2.60
Andrew J. Majda	2	61	23.70

1