Wavelet maxima curves of surface latent heat flux associated with two recent Greek earthquakes

G. Cervone, M. Kafatos, D. Napoletani, R. P. Singh

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

Multi sensor data available through remote sensing satellites provide information about changes in the state of the oceans, land and atmosphere. Recent studies have shown anomalous changes in oceans, land, atmospheric and ionospheric parameters prior to earthquakes events. This paper introduces an innovative data mining technique to identify precursory signals associated with earthquakes. The proposed methodology is a multi strategy approach which employs one dimensional wavelet transformations to identify singularities in the data, and an analysis of the continuity of the wavelet maxima in time and space to identify the singularities associated with earthquakes. The proposed methodology has been employed using Surface Latent Heat Flux (SLHF) data to study the earthquakes which occurred on 14 August 2003 and on 1 March 2004 in Greece. A single prominent SLHF anomaly has been found about two weeks prior to each of the earthquakes.

Original languageEnglish (US)
Pages (from-to)359-374
Number of pages16
JournalNatural Hazards and Earth System Science
Volume4
Issue number3
DOIs
StatePublished - 2004

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)

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