2018
DOI: 10.1002/2017gl076564
|View full text |Cite
|
Sign up to set email alerts
|

A New Method for Interpreting Nonstationary Running Correlations and Its Application to the ENSO‐EAWM Relationship

Abstract: We here propose a new statistical method to interpret nonstationary running correlations by decomposing them into a stationary part and a first‐order Taylor expansion approximation for the nonstationary part. Then, this method is applied to investigate the nonstationary behavior of the El Niño–Southern Oscillation (ENSO)‐East Asian winter monsoon (EAWM) relationship, which exhibits prominent multidecadal variations. It is demonstrated that the first‐order approximation of the nonstationary part can be expresse… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
8
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 17 publications
(8 citation statements)
references
References 28 publications
0
8
0
Order By: Relevance
“…The AMO modulates the ENSO–EAESM relationship not only through local air–sea forcing in the western tropical Pacific, but also through modulating mid‐to‐high latitude wave activities, leading to atmospheric circulation anomalies over East Asia and affecting the ENSO–EAESM relationship (Li et al ., 2008; Luo et al ., 2011; Zhu et al ., 2011; Geng et al ., 2017; 2018; Fan et al ., 2018). Geng et al .…”
Section: Observational Resultsmentioning
confidence: 99%
“…The AMO modulates the ENSO–EAESM relationship not only through local air–sea forcing in the western tropical Pacific, but also through modulating mid‐to‐high latitude wave activities, leading to atmospheric circulation anomalies over East Asia and affecting the ENSO–EAESM relationship (Li et al ., 2008; Luo et al ., 2011; Zhu et al ., 2011; Geng et al ., 2017; 2018; Fan et al ., 2018). Geng et al .…”
Section: Observational Resultsmentioning
confidence: 99%
“…Apart from the commonly used methods such as empirical orthogonal function (EOF) analysis, (running) correlation analyses, multiple linear regression analyses and composite analyses, we also adopt a newly-proposed statistical method for interpreting nonstationary running correlations to quantitatively identify the physical reasons determining the waxing and waning of the ENSO-SCWP relationship. For more details about this method, refer to Geng et al (2018).…”
Section: Methodsmentioning
confidence: 99%
“…Next, the method for decomposing and interpreting nonstationary running correlations introduced by Geng et al . (2018) is applied to quantificationally test the hypothesis that the AMO modulates the ENSO–SCWP relationship. According to the Equation () in Geng et al .…”
Section: Nonstationary Enso–scwp Relationship Modulated By the Amomentioning
confidence: 99%
See 1 more Smart Citation
“…To explore which external forcing might be responsible for these decadal variations, we show in Fig. 4 also the 9-yr running averaged AMO index (blue bars), given that the AMO has been widely proposed as an important external forcing responsible for ENSO property changes and variations of ENSO-related anomalous atmospheric responses on decadal time scales (Dong et al 2006;Yu et al 2015;Levine et al 2017;Geng et al 2017Geng et al , 2018. It can be seen that the AMO index exhibits a positive phase before the mid-1960s and after the mid-1990s, while showing a negative phase during the interim period, thus exhibiting an approximate inverse temporal evolution with the running correlations shown in the same figure.…”
Section: Decadal Variations Of Enso Combination Mode Amplitudementioning
confidence: 99%