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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. 5, pp. 373-384

Precipitation theshold values during lightning-ignited wildfires in Western Siberia based on reanalysis and satellite monitoring data

E.V. Kharyutkina 1, 2 , E.I. Moraru 1 , K.N. Pustovalov 1, 2 
1 Institute of Monitoring of Climatic and Ecological Systems SB RAS, Tomsk, Russia
2 National Research Tomsk State University, Tomsk, Russia
Accepted: 16.08.2025
DOI: 10.21046/2070-7401-2025-22-5-373-384
Against the background of climate change, lightning activity increases, it may lead to an increased probability of lightning-ignited wildfires, especially in the Arctic zone of Siberia, since they occur more often here than in the south — in 30 and 20 % of cases of all fires, respectively. In the study, threshold values of the total amount of precipitation during lightning-ignited wildfires (LIWs) were obtained for Western Siberia for warm season from 2016 to 2021 based on the ERA5-Land reanalysis data (Land component of the fifth generation of European ReAnalysis) and the GPM IMERG (Integrated Multi-satellitE Retrievals for Global Precipitation Measurement) satellite monitoring data. Precipitation data were verified with observational data at meteorological stations. The reanalysis and satellite monitoring data reproduce the general variability of precipitation, but the reanalysis data overestimate the precipitation amounts, and the satellite data underestimate them. It was found that the median precipitation estimates in Western Siberia are 0.5 mm/day based on ERA5-Land and 0 mm/day based on GPM IMERG. The greatest number of fires is observed with precipitation amount up to 2.5 mm/day (from “dry” lightning): 87 and 93 %, respectively. LIWs with greater precipitation amount (in the range of 2.5–8.0 mm/day with a probability of 95 %) occur mainly in the tundra zone and forest-swamp ecosystems. These cases actually remain unaccounted when assessing the degree of fire hazard in the region. The obtained results will be useful in solving problems related with raising accuracy of potential fire hazard forecasting methods. This will help to take measures in advance to adapt to changing environmental conditions and reduce economic damage from fires.
Keywords: atmospheric precipitation, threshold values, lightning, wildfires, dry lightning, Western Siberia, satellite monitoring data, reanalysis data, observational data
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