NDLI: Seismo-ionospheric anomalies detection based on integrated wavelet

Content Provider	IEEE Xplore Digital Library
Author	Liming He Lixin Wu Shanjun Liu Baodong Ma
Copyright Year	2011
Description	Author affiliation: College of Resources and Civil Engineering, Northeastern University, Shenyang, China, 110819 (Liming He; Lixin Wu; Shanjun Liu; Baodong Ma)
Abstract	In this paper, we proposed a wavelet-based methodology that enables to detect and diagnose the ionospheric anomalies associated with seismic activity. Wavelet transform and cross-wavelet analysis methods are used to detect and identify the spatio-temporal variability of ionospheric perturbation associated with Wenchuan Ms8.0 earthquake, 12 May 2008 in China, and to gain further insights into the dynamical relations between the ionospheric anomaly variability and the geophysical indices variability in the same span of observations, 12 April ∼ 12 May, 2008. The details of the algorithm and the analysis results are introduced in this paper.
Starting Page	1834
Ending Page	1837
File Size	1042504
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Earthquakes Continuous wavelet transforms Wavelet analysis Ionosphere Global Positioning System diagnose Wavelet transform global ionospheric map earthquake ionospheric anomaly
Content Type	Text
Resource Type	Article

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