Forecasting the regional fire radiative power for regularly ignited vegetation fires
Abstract 1.5 ° × 1.5 °. The input data included ECMWF ERA5 meteorological reanalysis and SEVIRI/MSG (Spinning Enhanced Visible and Infra-Red Imager on board Meteosat Second Generation) fire radiative power and cloud mask data. It has been found that in the areas with a large number of wildfires regularly ignited on a daily basis during dry seasons from year to year, the temporal fire radiative power evolution is quite predictable, whereas the areas with irregular fire behaviour, predictability was low. The predictive power of the method is demonstrated by comparing the predicted fire radiative power patterns and fire radiative energy values against the corresponding remote-sensing observations. The current method showed good skills for the considered African regions and was useful in understanding the challenges in predicting the wildfires in a more general case.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Forecasting the regional fire radiative power for regularly ignited vegetation fires ; volume:22 ; number:4 ; year:2022 ; pages:1335-1346 ; extent:12
Natural hazards and earth system sciences ; 22, Heft 4 (2022), 1335-1346 (gesamt 12)
- Creator
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Partanen, Tero M.
Sofiev, Mikhail
- DOI
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10.5194/nhess-22-1335-2022
- URN
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urn:nbn:de:101:1-2405020446211.671707325373
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:02 AM CEST
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Associated
- Partanen, Tero M.
- Sofiev, Mikhail
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