Skip to main content
Log in

A technology of waterspout monitoring over the Russian part of the Black Sea

  • Instruments, Observations, and Processing
  • Published:
Russian Meteorology and Hydrology Aims and scope Submit manuscript

Abstract

The technology of waterspout monitoring over the Russian part of the Black Sea is presented. The technology was developed using the foreign experience of tornado and waterspout prediction and the data from the meteorological observation network of the Russian Federation. The technology is based on the software for the organization and maintenance of operational database including the data of satellite imagery, numerical weather prediction models, lightning detection systems, and weather radars. It was found that the results of the use of the presented technology for analyzing waterspout-risk conditions during the waterspout season are of the greatest interest. The waterspout season in the Black Sea area usually begins in May and ends in September. The review of waterspout occurrence over the Russian part of the Black Sea in 2014 is presented.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. M. V. Kurganskii, A. V. Chernokul’skii, and I. I. Mokhov, “The Tornado over Khanty-Mansiysk: An Exception or a Symptom?”, Meteorol. Gidrol., No. 8 (2013) [Russ. Meteorol. Hydrol., No. 8, 38 (2013)].

    Google Scholar 

  2. G. I. Mazurov, B. A. Vasil’ev, and V. I. Akselevich, “Analysis of Tornado Parameters in Russia for the Period of a Century and a Half. Research Activities of Roshydromet Aviamettelekom,” Meteospektr, No. 4 (2011) [in Russian].

    Google Scholar 

  3. A. I. Snitkovskii, “Tornados in the USSR,” Meteorol. Gidrol., No. 9 (1987) [Sov. Meteorol. Hydrol., No. 9 (1987)].

    Google Scholar 

  4. Algorithm Theoretical Basis Document for “Rapid Development Thunderstorms,” http://www.nwcsaf.org/scidocs/Documentation/SAF-NWC-CDOP2-MFT-SCI-ATBD-11_v3.0d.pdf.

  5. C. A. Doswell, S. J. Weiss, and R. H. Johns, “Tornado Forecasting—A Review,” Geophys. Monograph. Series, 79 (1993).

    Google Scholar 

  6. European Severe Weather Database, http://webbox.eswd.eu/cgi-bin/eswd.cgi.

  7. Explanation of SPC Severe Weather Parameters, http://www.spc.noaa.gov/sfctest/help/sfcoa.html.

  8. C. Marzban and G. J. Stumpf, “A Neural Network for Tornado Prediction Based on Doppler Radar-derived Attributes,” J. Appl. Meteorol., 35 (1996).

    Google Scholar 

  9. NCEP Products Inventory, http://www.nco.ncep.noaa.gov/pmb/products/gfs/.

  10. L. Nisi, P. Ambrosetti, and L. Clementi, “Nowcasting Severe Convection in the Alpine Region: The COALITION Approach,” Quart. J. Roy. Meteorol. Soc., 140 (2014).

    Google Scholar 

  11. Presentation of Severe Weather Parameters, http://www.crh.noaa.gov/lmk/soo/presentations/svr_parameters.pdf.

  12. J. Rauhala and D. M. Schultz, “Severe Thunderstorm and Tornado Warnings in Europe,” Atmos. Res., 93 (2009).

    Google Scholar 

  13. The Eumetsat Network of Satellite Application Facilities—Support to Nowcasting and Very Short Range Forecasting, http://nwcsaf.org.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to O. V. Kalmykova.

Additional information

Original Russian Text © O. V. Kalmykova, V.M. Shershakov, 2016, published in Meteorologiya i Gidrologiya, 2016, No. 10, pp. 93-102

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kalmykova, O.V., Shershakov, V.M. A technology of waterspout monitoring over the Russian part of the Black Sea. Russ. Meteorol. Hydrol. 41, 728–734 (2016). https://doi.org/10.3103/S1068373916100095

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S1068373916100095

Keywords

Navigation