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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 7, pp. 308-318

Estimation of the frequency of hazardous convective weather events using remote sensing data (by the example of Perm Region)

R.K. Abdullin 1 , A.N. Shikhov 1 
1 Perm State University, Perm, Russia
Accepted: 15.09.2017
DOI: 10.21046/2070-7401-2017-14-7-308-318
The article describes different approaches to estimating the frequency of local hazardous convective weather events, using long-term remote sensing data. The results of direct estimate (using ground-based observation data and damage reports) and indirect estimate (from remote sensing data) of the frequency of hazardous weather events are compared by the example of the Perm Region. A long-term series of Terra/Aqua MODIS satellite images were used to estimate the repeatability of mesoscale convective systems occurrence. The estimation of the thunderstorms frequency was performed according to the World Wide Lightning Location Network (WWLLN) data. It is shown that the southwestern and northwestern parts of the area are characterized by the highest frequency of convective weather phenomena, and the minimum frequency corresponds to the northeast of the region. The spatial distribution of mesoscale convective systems, estimated by the MODIS data, and thunderstorms (according to WWLLN data) is characterized by a high degree of similarity. This shows the objectivity of the obtained estimates from remote sensing data. At the same time, the frequency of hazardous convective weather events, estimated using ground-based observation data and damage reports, is significantly different from them. This may be due to the data incompleteness on reported local convective phenomena in conditions of low population density and sparse observational network.
The spatial distribution of mesoscale convective systems, estimated by the MODIS data, and thunderstorms (according to WWLLN data) is characterized by a high degree of similarity. This shows the objectivity of the obtained estimates by the remote sensing data. At the same time, the frequency of hazardous convective weather events, estimated using ground-based observation data and damage reports, is significantly different from them. This may be due to the data incompleteness on reported local convective phenomena, in conditions of low population density and the observational network.
Keywords: hazardous convective weather events, frequency, mesoscale convective systems, MODIS data, WWLLN data
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