2008
DOI: 10.2151/jmsj.86.867
|View full text |Cite
|
Sign up to set email alerts
|

An Analysis of Nonlinear Relationship between the MJO and ENSO

Abstract: Using the Hilbert Singular Value Decomposition (HSVD) and the Nonlinear Canonical Correlation Analysis (NLCCA), we analyzed the statistical relationship of MJO (Madden-Julian Oscillation) and ENSO (El Niño and Southern Oscillation). It was found that while a linear analysis produced no significant relationship between MJO and ENSO, a low-order nonlinear analysis based on the quadratic function of HSVD led to statistically significant lagged correlations. When their nonlinear relationship was further extracted … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2011
2011
2022
2022

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 12 publications
(5 citation statements)
references
References 44 publications
0
5
0
Order By: Relevance
“…The Madden‐Julian Oscillation (MJO) is the dominant component of the intraseasonal variability in the tropics and propagates eastward around the global tropics with a cycle on the order of 30–60 days (Madden & Julian, ; Tang & Yu, ). One would expect that the MJO might trigger the formation or enhance the occurrence of the Sumatra Squalls in the study area.…”
Section: Discussionmentioning
confidence: 99%
“…The Madden‐Julian Oscillation (MJO) is the dominant component of the intraseasonal variability in the tropics and propagates eastward around the global tropics with a cycle on the order of 30–60 days (Madden & Julian, ; Tang & Yu, ). One would expect that the MJO might trigger the formation or enhance the occurrence of the Sumatra Squalls in the study area.…”
Section: Discussionmentioning
confidence: 99%
“…In phases 8–1, it is also dominated by the EOF2 but with an opposite sign. However, the difference between EP and CP La Niña is smaller than in phases 4–5, suggesting the possible asymmetry or nonlinearity of the MJO‐ENSO relationship (e.g., Tang & Yu, 2008). Besides, we found that the EOF2 mode under the EP La Niña matches more with the standard eigenmodes of RMM1 (Wheeler & Hendon, 2004) and OMI2 (Kiladis et al., 2014), thus the projection coefficient against the EOF2 might be weakened mathematically under the CP La Niña.…”
Section: Resultsmentioning
confidence: 99%
“…The original time series are now passed through a band-pass Lanczos filter to retain only the cycles with periods within the relevant timescales. The filtered data-sets then have been subjected to EOF analysis with varimax rotation and the leadings PCs are retained according to the Scree test [31] and the North criteria [32]. After the PCs time series have been extracted, the variations in the ISO magnitude and was studied using statistical methods.…”
Section: Methodsmentioning
confidence: 99%