Development of a GIS database and web service “Hazardous convective weather events on the territory of Central Federal district”

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About the Authors

Andrey N. Shikhov

Perm State University,
Bukirev str., 15, 614990, Perm, Russia;

Rinat K. Abdullin

Perm State University,
Bukirev str., 15, 614990, Perm, Russia;

Alexander V. Chernokulsky

A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences,
Pyzhevsky 3, 119017, Moscow, Russia;

Igor O. Azhigov

Perm State University,
Bukirev str., 15, 614990, Perm, Russia;

Yulia I. Yarinich

A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences,
Pyzhevsky 3, 119017, Moscow, Russia;

M.V. Lomonosov Moscow State University,
GSP-1, Leninskie Gory, 119991 Moscow, Russia;


Alexander A. Sprygin

Typhoon Research and Production Association,
Pobedy str 4, 249038, Obninsk, Kaluga region, Russia;

Daniil P. Korenev

Central Aerological Observatory,
Pervomaiskaya str. 3, 141707, Dolgoprudny, Moscow region, Russia;


Hazardous convective weather events (HCWE), such as heavy rainfall, large hail, squalls and tornadoes, are one of the substantial sources of natural emergencies in Russia. The territory of the Central Federal District (CFD) is characterized by the highest population density in Russia. On the one hand, this leads to increased risks associated with HCWE, but on the other hand, it provides the possibilities for collecting the most detailed information on them (including the events missed by the observation network and reported based on damage assessment). In this study, we consider the structure and information content of the GIS database of HCWE for the territory of the CFD. The main advantage of the developed database comparing with existing analogues is its structure, which includes information on both the events themselves and their consequences, and the conditions of their occurrence. This includes, in particular, the characteristics of meso-scale convective systems (convective storms) based on the images from meteorological satellites and diagnostic variables characterizing the atmospheric environments according to the data from ERA-5 and CFS reanalysis systems. Also, the developed database is associated with previously published databases on tornadoes in Northern Eurasia and large-scale windthrow events in European Russia. At present, we compiled the data on more than 2,000 cases of HCWE in the CFD for the period 2001–2020, most of which were reported based on damage assessment. The open-source PostgreSQL DBMS is used to manage and edit the database. Open access to the database on the Internet is implemented through an online web map service available at


hazardous convective weather events, squalls, tornadoes, large hail, heavy rainfalls, GIS database, online web map service, Central Federal District.


  1. Bedritskii A.I., Korshunov A.A., Korshunova N.N., Lamanov V.I., Shaimardanov M.Z. Hazardous hydrometeorological phenomena and their impact on Russia’s economy: Destructive-force winds. Russian Meteorology and Hydrology, 2001. V. 9. P. 1–9 (in Russian).
  2. Kalinin N.A., Shikhov A.N., Chernokulsky A.V., Kostarev S.V., Bykov A.V. Formation Environments of Severe Squalls and Tornadoes Causing Large-scale Windthrows in the Forest Zone of European Russia and the Ural. Russian Meteorology and Hydrology, 2021. V. 46 (2). P. 83–93. DOI: 10.3103/S1068373921020035 (in Russian).
  3. Chernokulsky A.V, Kurgansky M.V, Mokhov I.I, Shikhov A.N, Azhigov I.O, Selezneva E.V, Zakharchenko D.I, Antonescu B., Kühne T. Tornadoes in the Russian Regions. Russian Meteorology and Hydrology, 2021. V. 46 (2). P. 69–82. DOI: 10.3103/S1068373921020023 (in Russian).
  4. Chernokulsky A, Kurgansky M, Mokhov I, Shikhov A, Azhigov I, Selezneva E, Zakharchenko D, Antonescu B, Kühne T. Tornadoes in Northern Eurasia: from the Middle Age to the Information Era. Monthly Weather Review, 2020. V. 148. P. 3081–3111. DOI: 10.1175/MWR-D-19-0251.1.
  5. Chernokulsky A.V., Kurgansky M.V., Mokhov I.I. On characteristic reanalysis-based values of convective instability indices for Northern Eurasia tornadoes. IOP Conference Series: Earth and Environmental Science, 2019. V. 231. 012012. DOI: 10.1088/1755-1315/231/1/012012.
  6. Diffenbaugh N.S., Scherer M., Trapp R.J. Robust increases in severe thunderstorm environments in response to greenhouse forcing. Proceedings of the National Academy of Sciences of the United States of America, 2013. V. 110 (41). P. 16361–16366. DOI: 10.1073/pnas.1307758110.
  7. 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. V. 93. P. 575–586. DOI: 10.1016/j.atmosres.2008.10.020.
  8. Edwards R., LaDue J.G., Ferree J.T., Scharfenberg K., Maier C., Coulbourne W.L. Tornado Intensity Estimation: Past, Present, and Future. Bulletin of the American Meteorological Society, 2013. V. 94 (5). P. 641–653. DOI: 10.1175/BAMS-D-11-00006.1.
  9. Groenemeijer P., Kuhne T. A climatology of tornadoes in Europe: results from the European Severe Weather Database. Monthly Weather Review, 2014. V. 142. P. 4775–4790. DOI: 10.1175/MWR-D-14-00107.1.
  10. Groenemeijer P., Púčik T., Holzer A.M., Antonescu B., Riemann-Campe K., Schultz D.M., Kühne T., Feuerstein B., Brooks H.E., Doswell C.A. III., Koppert H-J., Sausen R. Severe Convective Storms in Europe: Ten Years of Research and Education at the European Severe Storms Laboratory. Bulletin of the American Meteorological Society, 2017. V. 98 (12). P. 2641–2651. DOI: 10.1175/BAMS-D-16-0067.1.
  11. Hersbach H. et al. The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 2020. V. 146. P. 1999–2049. DOI: 10.1002/qj.3803.
  12. Kerkmann J., Lutz H.J., König M., Prieto J., Pylkko P., Roesli H.P., Rosenfeld D., Zwatz-Meise V., Schmetz J., Schipper J., Georgiev C., Santurette P. MSG Channels, Interpretation Guide, Weather, Surface Conditions and Atmospheric Constituents. 2006. Web resource: (accessed 03.04.2021).
  13. Klaes K.D. A status update on EUMETSAT programmes and plans. Proceedings of SPIE—The International Society for Optical Engineering, 2017. V. 10402. 1040202. DOI: 10.1117/12.2273849.
  14. Meredith E.P., Semenov V.A., Maraun D., Park W., Chernokulsky A.V. Crucial role of Black Sea warming in amplifying the 2012 Krymsk precipitation extreme. Nature Geoscience, 2015. V. 8 (8). P. 615–619. DOI: 10.1038/ngeo2483.
  15. Napolitano E., Marchesini I., Salvati P., Donnini M., Bianchi C., Guzzetti F. LAND-deFeND—An innovative database structure for landslides and floods and their consequences. Journal of Environmental Management, 2018. V. 207. P. 203–218. DOI: 10.1016/j.jen-vman.2017.11.022.
  16. Púčik T., Groenemeijer P., Rýva D., Kolář M. Proximity Soundings of Severe and Nonsevere Thunderstorms in Central Europe. Monthly Weather Review. 2015. V. 143 P. 4805–4821. DOI: 10.1175/MWR-D-15-0104.1.
  17. Radler T., Groenemeijer P., Faust E., Sausen R., Púčik T. Frequency of severe thunderstorms across Europe expected toincrease in the 21st century due to rising instability. NPJ Climate and Atmospheric Science, 2019. V. 30. DOI: 10.1038/s41612-019-0083-7.
  18. Rivin G.S., Vil’fand R.M., Kiktev D.B., Rozinkina I.A., Tudriy K.O., Blinov D.V., Varentsov M.I., Samsonov T.E., Bundel’ A.Y., Kirsanov A.A., Zakharchenko D.I. The System for Numerical Prediction of Weather Events (Including Severe Ones) for Moscow Megacity: The Prototype Development. Russian Meteorology and Hydrology, 2019. V. 44 (11). P. 729–738. DOI: 10.3103/S1068373919110025.
  19. Saha S., et al., 2010. The NCEP climate forecast system reanalysis. Bull. Am. Meteorol. Soc. 2010. V. 91. P. 1015–1057. DOI: 10.1175/2010BAMS3001.1.
  20. Shikhov A.N., Chernokulsky A.V. A satellite-derived climatology of unreported tornadoes in forested regions of northeast Europe. Remote Sensing of Environment, 2018. V. 204. P. 553–567.
  21. Shikhov A.N., Chernokulsky A.V., Azhigov I.O., Semakina A.V. A satellite-derived database for stand-replacing windthrow events in boreal forests of European Russia in 1986–2017. Earth Syst. Sci. Data, 2020. V. 12. P. 3489–3513. DOI: 10.5194/essd-12-3489-2020.
  22. Taszarek M., Brooks H.E., Czernecki B. Sounding-derived parameters associated with convective hazards in Europe. Monthly Weather Review, 2017. V. 145. P. 1511–1528. DOI: 10.1175/MWR-D-16-0384.1.

For citation: Shikhov A.N., Abdullin R.K., Chernokulsky A.V., Azhigov I.O., Yarinich Y.I., Sprygin A.A., Korenev D.P. Development of a GIS database and web service “Hazardous convective weather events on the territory of Central Federal district” InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: MSU, Faculty of Geography, 2021. V. 27. Part 3. P. 120–135. DOI: 10.35595/2414-9179-2021-3-27-120-135 (In Russian)