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, 2020, Vol. 17, No. 4, pp. 300-305

Analysis of the causes of hailstorm in the Amur region on June 13, 2020

N.I. Pererva 1 , A.A. Filei 1 , Yu.A. Shamilova 1 
1 Far-Eastern Center of State Research Center for Space Hydrometeorology “Planeta”, Khabarovsk, Russia
Accepted: 04.09.2020
DOI: 10.21046/2070-7401-2020-17-4-300-305
On June 13, 2020, a dangerous meteorological phenomenon was observed on the territory of the Jewish Autonomous Region — large hail caused by interaction of opposite air masses, intense heating and explosive convection. Large hail is extremely rare in the Amur region. Forecasters did not predict the phenomenon because the analysis of aero synoptic material did not reveal signs that could help predict such extreme events. However, using data from the Himawari-8 spacecraft, it is shown that during the development of cumulonimbus clouds, there were signs that could be used to predict large hail, namely, the formation of vertical cloud domes with a significant excess over the height of the tropopause, which indicates very intense convection, the allocation of pockets of ice crystals and grains over areas of hail, as well as characteristic signs of very powerful updrafts necessary for the formation of hail, in the images of the RGB product “Convective storms”. Products obtained by remote sensing of the Earth and aimed at monitoring atmospheric convection have shown their significance and effectiveness as necessary additional tools in the operational mode of predictive departments of the Hydrometeorological Research Center of Russian Federation (Hydrometcenter of Russia).
Keywords: large hail, overshooting tops, graupel water path, ice crystals, RGB products
Full text

References:

  1. Zverev A. S., Sinopticheskaya meteorologiya (Synoptic meteorology), Leningrad: Gidrometizdat, 1977, 542 p.
  2. Matveev L. T., Kurs obshchei meteorologii, fizika atmosfery (General Meteorology Course, Atmospheric Physics), Leningrad: Gidrometeoizdat, 1984, 502 p.
  3. Nauchno-prikladnoi spravochnik po klimatu SSSR, Ser. 3, Ch. 1–6, Vyp. 25: Khabarovskii krai, Amurskaya oblast’ (Scientific and Applied Climate Reference Book of the USSR, Ser. 3, Pt. 1–6, Iss. 25, Khabarovsk Territory, Amur Region), Saint Petersburg: Gidrometeoizdat, 1992, 373 p.
  4. 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, Issue 2, pp. 175–189, available at: https://www.sciencedirect.com/science/article/pii/S0169809510002589.
  5. Microwave Integrated Retrieval System (MIRS): User’s Manual, Version 1.2, 2007, 64 p., available at: ftp://ftp.cira.colostate.edu/ftp/Kidder/MIRS_Documents/MIRS_Users_Manual.pdf.
  6. Shimizu A., Outline of RGB Composite Imagery, Meteorological Satellite Center, JMA, 2014 (Rev. 2015), 86 p., pp. 57–62, URL: https://www.jma.go.jp/jma/jma-eng/satellite/VLab/Outline_RGB_composite.pdf.
  7. Silva Neto C. P., Alves Barbosa H., Assis Beneti C. A., A method for convective storm detection using satellite data, Atmósfera, 2016, Vol. 29, Issue 4, pp. 343–358, available at: https://www.sciencedirect.com/science/article/pii/S0187623617300358.