Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 3, pp. 141-149
Identification of pre-seismic atmospheric perturbations using modified STA/LTA criterion
1 Research Station RAS in Bishkek City, Bishkek, Kyrgyzstan
Accepted: 20.05.2021
DOI: 10.21046/2070-7401-2021-18-3-141-149
This paper presents a new approach to the analysis of spatial-temporal temperature changes in the upper troposphere and lower stratosphere (UTLS) based on the use of a modified STA/LTA criterion and focused on selecting and identifying perturbations. The developed algorithm allows detecting unique variations associated with seismic activity that are present in continuous temperature changes and consistently appear at various UTLS levels. For this purpose, the optimal parameters for calculating the ratio of the characterizing functions in the short moving time window (STA) and the long one (LTA) were determined. Testing of the proposed algorithm showed its sufficiently high resistance to the effect of non-seismic factors on temperature changes and ability to operate in real time, which is promising for forecasting purposes and allows automating the identification of anomalies. The paper presents the results of a retrospective analysis of satellite temperature time series above the epicentral area of the destructive Nura earthquake of M = 6.7 occurred in a seismically active Tien-Shan region on October 5, 2008. It is established that an explicit mesoscale temperature anomaly in UTLS was observed during the period from October 1 to 3, 2008. The anomalous area started to form at a distance of ~200–300 km from the epicenter, then moved to the East and reached the maximum on October 2, 2008, three days before the earthquake of M = 6.7. The temporal and spatial distributions of temperature perturbation were probably a precursive indicator of the seismic event.
Keywords: earthquake, satellite data, upper troposphere, lower stratosphere, temperature, anomalies, algorithm, STA, LTA, variance, identification
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