Typologisation of Synoptic Objects of the Area in Terms of Applied Statistics

Authors

DOI:

https://doi.org/10.17308/geo/1609-0683/2025/1/108-114

Keywords:

typologisation, synoptic object, isobaric level, geopotential height, factor analysis, cluster

Abstract

The purpose is to develop a methodology for revealing the internal structure of the mesoscale atmospheric circulation on the basis of the typologisation of synoptic situations of a certain season in a target area. Materials and methods. The initial information are the data of the NCEP/DOE AMIP-II reanalysis of atmospheric parameters. The methods of applied statistics are used: factor, cluster and discriminant analyses. Results and discussion. The factor model of the climatic population of synoptic objects is constructed taking into account their vertical structure; statistically diff erent groups of circulation objects are identifi ed (on the example of the winter season of the Voronezh point area). Conclusions. The methodology of typologisation of mesoscale synoptic situations for a certain season and a target area has been developed.

Author Biographies

  • Yevgeniy V. Shuvakin, Military Educational and Scientifi c Centre of the Air Force «Air Force Academy named after professor N. E. Zhukovskiy and Yu. A. Gagarin»

    Cand. Sci. (Tech.), Doctoral Student at the Military Educational and Scientific

  • Leonid M. Akimov, Voronezh State University

    Cand. Sci. (Geogr.), Assoc. Prof., Head of the Department of Nature Management, Faculty of Geography, Geoecology and Tourism

  • Vladimir S. Balakin, Central Scientific Research Institute of the Air Force

    Cand. Sci. (Geogr.), Head of Scientifi c Research Laboratory

  • Yuri V. Shipko, Central Scientific Research Institute of the Air Force

    Cand. Sci. (Tech.), Assoc. Prof., Senior Researcher at the Scientifi c Research Laboratory

References

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Published

2025-02-20

Issue

Section

Atmospheric and climate sciences

How to Cite

Typologisation of Synoptic Objects of the Area in Terms of Applied Statistics. (2025). Proceedings of Voronezh State University. Series: Geography. Geoecology, 1, 108-114. https://doi.org/10.17308/geo/1609-0683/2025/1/108-114