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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, 2025, V. 22, No. 6, pp. 9-24

Diagnostic features of severe convection. Part 2: Signatures derived from satellite data

A.A. Sprygin 1, 2 , O.V. Kalmykova 1, 2 
1 Research and Production Association “Typhoon”, Obninsk, Russia
2 A.M. Obukhov Institute of Atmospheric Physics RAS, Moscow, Russia
Accepted: 27.08.2025
DOI: 10.21046/2070-7401-2025-22-6-9-24
The work continues the authors’ research series on exploring new possibilities for forecasting severe convective phenomena. The first part of the study examined diagnostic features (signatures) of intense convective processes on the basis of ground-based radar observations. The second part provides a review of signatures from satellite data. For our country, this is a relatively new and not yet fully mastered area of research, which is actively developing in foreign countries. Satellite observations play a crucial role in understanding and forecasting deep convection systems, especially in regions with limited ground-based radar coverage. As the availability of satellite data with high temporal and spectral resolution increases, the opportunities for identifying and analyzing satellite signatures expand significantly. It is known that their manifestations often precede the formation of severe weather events on the ground with some lead time, which is particularly important. The physical foundations of the formation of certain satellite signatures of intense convection are considered, taking into account existing concepts (hypotheses) about their formation; the relationships between the signatures and different types of convective systems are described. For some of the signatures, the known experience of their automatic recognition is indicated. Cases of satellite signature manifestations in the study region are demonstrated.
Keywords: diagnostic features, satellite signatures, intense convection, satellite data, severe weather, hazardous convective phenomena, severe convective storms, forecasting, nowcasting
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