Abstract
The paper presents retrospective analysis of satellite data of the upper troposphere / lower stratosphere over the epicentral area of the destructive earthquake of M=6.7, occurred in Tien-Shan territory. We established a well-defined temporal and spatial coherence between temperature perturbations and seismic activity. We used wavelet analysis to identify temporal and spectral coherence of temperature variations in a boundary zone of troposphere and stratosphere before the seismic event.
Highlights
Study of pre-seismic atmospheric perturbations performed using ground-based and satellite methods revealed formation of anomalous variations of different geophysical parameters
This paper presents study of peculiarities of short-period temperature variations in upper troposphere and lower stratosphere (UTLS) over the epicentral area of an earthquake of M=6.7
Presented features of temperature coherent are in agreement with results of our previous investigations [7, 10] where we detected coincidence of oscillations frequencies concurrently appearing in temperature variation spectra in the upper troposphere and lower stratosphere
Summary
Study of pre-seismic atmospheric perturbations performed using ground-based and satellite methods revealed formation of anomalous variations of different geophysical parameters. We used temperature as a parameter changes of which were indications of atmospheric perturbations because it plays a key role in formation of conditions of running of majority of processes and vertical atmosphere structure. Characteristic peculiarities of temperature changes in the atmospheric regions separated by the tropopause allowed investigating temporal and frequency coherence effects preceding major earthquakes [7]. This paper presents study of peculiarities of short-period temperature variations in UTLS over the epicentral area of an earthquake of M=6.7. Dynamic processes in the atmospheric layers and perturbations that are results of interaction between atmospheric layers and lithosphere during periods of seismic activity were analyzed on the basis of remote sensing data
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