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, 2018, Vol. 15, No. 1, pp. 272-281

A satellite-based analysis of squalls and tornadoes in the Urals region in June 2017

A.N. Shikhov 1 , I.O. Azhigov 1 , A.V. Bykov 1 
1 Perm State University, Perm, Russia
Accepted: 13.11.2017
DOI: 10.21046/2070-7401-2018-15-1-272-281
The article describes circumstances of two squalls and tornado events in the Urals region that occurred on 3 and 18 June, 2017. The main factors contributing to the tornado formation were identified on the basis of synoptic-scale analysis and instability indices which were calculated by GFS/NCEP and GEM/CMC numerical weather prediction data. The mesoscale analysis is performed using the EUMETSAT geostationary satellites images and Terra/Aqua MODIS data. The overshooting tops (OTs) of mesoscale convective systems were identified by meteorological satellite data. The spatial position of OTs generally coincides with the area where the tornadoes and severe squalls occur. We used the forest damage analysis by Landsat-8 and Sentinel-2 satellite images to identify the squalls and tornadoes which were omitted by weather stations and eye-witnesses. We found five tornado tracks and three squall-induced windthrows, in which total area exceeded 1500 ha in Sverdlovsk, Kurgan and Tyumen Regions. To clarify the F-scale tornado intensity, a selective field survey was carried out in the tornado-damaged area near the Visim settlements (Sverdlovsk region). The features of forest stand damage correspond to F1 tornado intensity. However, the tornado path length and width indicate the F2 or F3 intensity.
Keywords: hazardous tornadoes, squalls, synoptic-scale and mesoscale analysis, windthrows, Landsat images
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References:

  1. Berezhnaya T. V., Golubev A. D., Parshina N. V., Anomal’nye gidrometeorologicheskie yavleniya na territorii Rossiiskoi Federatsii v iyune 2017 g. (Anomalous hydro-meteorological phenomena on the territory of the Russian Federation in June 2017), Meteorologiya i gidrologiya, 2017, No. 9, pp. 128–139.
  2. Krylov A. M., Vladimirova N. A., Distantsionnyi monitoring sostoyaniya lesov po dannym kosmicheskoy s˝emki (Remote monitoring of the forest stands health from space imagery data), Geomatika, 2011, No. 3, pp. 53–58.
  3. Shikhov A. N., Perminov S. I., Kiseleva E. S., Otsenka podverzhennosti boreal’nykh lesov Urala vozdeistviyu lesnykh pozharov i vetrovalov po mnogoletnim ryadam sputnikovykh nablyudenii (Assessment of boreal forests vulnerability to fire- and wind-induced disturbances from long-term series of satellite observations within the Urals region), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 3, pp. 87–102.
  4. Shikhov A. N., Tarasov A. V., Identifikatsiya sluchaev vozniknoveniya smerchei v lesnoi zone po mnogoletnim ryadam dannykh distantsionnogo zondirovaniya Zemli (Identification of tornado cases in a forest region using long-term series of remote sensing data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2016, Vol. 13, No. 3, pp. 84–94.
  5. Bech J., Gayà M., Aran M., Figuerola F., Amaro J., Arús J., Tornado damage analysis of a forest area using site survey observations, radar data and a simple analytical vortex model, Atmospheric Research, 2009, Vol. 93, pp. 118–130.
  6. Bedka K. M., Overshooting cloud top detections using MSG SEVIRI infrared brightness temperatures and their relationship to severe weather over Europe, Atmospheric Research, 2011, Vol. 99 (2), pp. 175–189.
  7. Das M. K., Das S., Chowdhury M. A. M., Karmakar S., Simulation of tornado over Brahmanbaria on 22 March 2013 using Doppler weather radar and WRF model, Geomatics, Natural Hazards and Risk, 2016, Vol. 7 (5), pp. 1577‒1599.
  8. Doswell C. A.III., Schultz D. M., On the use of indices and parameters in forecasting severe storms, Electronic Journal of Severe Storms Meteorology, 2006, Vol. 1, pp. 1–22.
  9. Dotzek N., Groenemeijer P., Feuerstein B., Holzer A. M., Overview of ESSL’s severe convective storms research using the European Severe Weather Database ESWD, Atmospheric Research, 2009, Vol. 93, pp. 575–586.
  10. FujitaT. T., Tornadoes and downbursts in the context of generalized planetary scales, Journal of Atmos­pheric Sciences, 1981, Vol. 38, pp. 1511–1534.
  11. Groenemeijer P., Kuhne T., A climatology of tornadoes in Europe: results from the European Severe Weather Database, Monthly Weather Review, 2014, Vol. 142, pp. 4775–4790.
  12. Shikhov A. N., Chernokulsky A. V., A satellite-derived climatology of unreported tornadoes in forested regions of northeast Europe, Remote Sensing of Environment, 2018, Vol. 204, pp. 553‒567.