Abstract
We analyzed satellite measurements of temperature at upper troposphere/lower stratosphere (UTLS) levels separated by the tropopause above the epicentral area of a strong earthquake with a magnitude of M=7.3 in the Northern Tien-Shan (Kyrgyzstan) that took place on August 19, 1992. The developed algorithm and method of continuous wavelet transform allowed detecting of abnormal behavior, temporal, spatial and spectral coherence of short-period temperature variations, preceding the seismic event. The results show that the spatial structure and dynamics of temperature anomalies in the area of UTLS have a sufficiently stable relation to seismic activity.
Highlights
Progress in development and improvement of satellite technologies, as well as availability of a large number of specialized services and databases predetermined extensive use remote sensing results for purposes of research of the interaction between various geophysical processes and seismic monitoring in particular
The task of selection of pre-seismic attributes of anomalous behavior in temperature time series may be solved on the basis of application of relevant algorithms [3 5] and the wavelet-analysis methodology with account for differences in frequency properties of spectra of anomalous temperature perturbations at upper troposphere/lower stratosphere levels separated by the tropopause (UTLS)
The output parameter of the algorithm, changes of which were compared to seismic activity, was integrated index of anomalous variations (D T), that served as the measure of coherence or conformity of temperature variations at two isobaric level in time and space
Summary
Progress in development and improvement of satellite technologies, as well as availability of a large number of specialized services and databases predetermined extensive use remote sensing results for purposes of research of the interaction between various geophysical processes and seismic monitoring in particular. An important task of anomalies identification in temperature time series (spatial images), together with selection of parameters, that may serve as potential attributes of strong earthquakes preparation, is selection and application of the most effective methods of processing of experimental data. A lot of methods and algorithms for selection of anomalies for various data types that describe processes occurring in time and preceding earthquakes, from simple methods of visual interpretation to more complex methods based on wavelet transform and conjoint application of wavelets and neural networks [1] have been developed. The task of selection of pre-seismic attributes of anomalous behavior in temperature time series may be solved on the basis of application of relevant algorithms [3 5] and the wavelet-analysis methodology with account for differences in frequency properties of spectra of anomalous temperature perturbations at upper troposphere/lower stratosphere levels separated by the tropopause (UTLS). In this research we present results of revealing of temporal, spatial and spectral coherence in UTLS temperature variations over the epicentral area of a strong earthquake of magnitude of M=7.3 that occurred in Kyrgyzstan on August 19, 1992
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