2023
DOI: 10.1109/tgrs.2023.3265931
|View full text |Cite
|
Sign up to set email alerts
|

Statistical Correlation Between DEMETER Satellite Electronic Perturbations and Global Earthquakes With M ≥ 4.8

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 62 publications
0
1
0
Order By: Relevance
“…In particular, the development of the lithosphere-atmosphere-ionosphere coupling (LAIC) mechanism has brought us new findings and understandings of the process of earthquake preparation [5][6][7]. Currently, the most reliable methods of recognizing earthquake precursors are considered to be the multicomponent and multi-method analysis [8][9][10][11]. For example, Pulinets et al [12] adopted a multi-method way to validate the precursory phenomena in the ionospheric of the 1999 Hector Mine and 2019 Ridgecrest earthquakes: firstly, they computed the time-series of ∆TEC% around the earthquakes and found there are likely positive night-time deviations before the earthquakes; secondly, they started cognitive recognition through the precursor mask approach [13], which is a special visualization pattern analysis to check the possible precursors; thirdly, they revealed the increased spatial variability by calculating the root mean square deviation (RMSD) to further validate the precursor mask; next, to further prove that suspicious variations, they used a cross-correlation technique to reveal the reliability of the precursor mask [14]; and lastly, they demonstrated the precursors based on the physical mechanisms of their generation and the morphology of their behavior during the precursory period.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, the development of the lithosphere-atmosphere-ionosphere coupling (LAIC) mechanism has brought us new findings and understandings of the process of earthquake preparation [5][6][7]. Currently, the most reliable methods of recognizing earthquake precursors are considered to be the multicomponent and multi-method analysis [8][9][10][11]. For example, Pulinets et al [12] adopted a multi-method way to validate the precursory phenomena in the ionospheric of the 1999 Hector Mine and 2019 Ridgecrest earthquakes: firstly, they computed the time-series of ∆TEC% around the earthquakes and found there are likely positive night-time deviations before the earthquakes; secondly, they started cognitive recognition through the precursor mask approach [13], which is a special visualization pattern analysis to check the possible precursors; thirdly, they revealed the increased spatial variability by calculating the root mean square deviation (RMSD) to further validate the precursor mask; next, to further prove that suspicious variations, they used a cross-correlation technique to reveal the reliability of the precursor mask [14]; and lastly, they demonstrated the precursors based on the physical mechanisms of their generation and the morphology of their behavior during the precursory period.…”
Section: Introductionmentioning
confidence: 99%