2019
DOI: 10.1109/access.2019.2912564
|View full text |Cite
|
Sign up to set email alerts
|

Detecting All Possible Ionospheric Precursors by Kernel-Based Two-Dimensional Principal Component Analysis

Abstract: Kernel-based two-dimensional principal component analysis (K2DPCA), a nonlinear method, was performed to examine ionospheric 2-D total electron content (TEC) variations obtained from the NASA Global Differential GPS (GDGPS) network, which consisted of low spatial resolution ionospheric TEC data, to detect TEC precursors prior to the China Ludian earthquake at 08:30:13 UT on 03 August 2014 (M = 6.1). Simultaneously, two-dimensional principal component analysis (2DPCA), a linear method, was performed to examine … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
3
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 56 publications
(103 reference statements)
1
3
0
Order By: Relevance
“…Therefore, the similarities on September 17, 18, and 20, 1999, belong to the second classification of TEC precursors, and other daily images belong to the first classification. Such TEC precursors are TTMPs, which differ from the STMPs in the study of Lin et al (2019a). These results are consistent with those of Liu et al (2001) and Lin (2010).…”
Section: Discussionsupporting
confidence: 86%
See 3 more Smart Citations
“…Therefore, the similarities on September 17, 18, and 20, 1999, belong to the second classification of TEC precursors, and other daily images belong to the first classification. Such TEC precursors are TTMPs, which differ from the STMPs in the study of Lin et al (2019a). These results are consistent with those of Liu et al (2001) and Lin (2010).…”
Section: Discussionsupporting
confidence: 86%
“…Many studies have researched the total electron content (TEC) anomalies associated with large earthquakes (Wang et al, 2015;Liu et al, 2016;Tao et al, 2017;Ho et al, 2018;Lin et al, 2019a;Shah et al, 2019). Wang et al…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations