Seasonality of biomass burning in Africa from remote sensing data and application to a global chemistry model
This paper sets out to show the potential use of remote sensing of active vegetation fires for continental to global scale modelling of biomass burning studies. It focuses on the analysis of the seasonality of biomass burning for the African continent. Monthly counts of fire pixels, within 1 grid cells, have been calculated from November 1984 to October 1989. These 1 grid cells are summated to a 5 grid to enable comparison with previous studies and are analyzed at this resolution to show various features of the fire burning season. It shows that previous attempts to characterize the seasonality of biomass burning have tended to underestimate the intensity of the peak months of burning or have predicted too long a fire season in certain areas. It also shows that there can be a temporal shift in the timing of the fire season. The seasonality as derived from satellite data determined in this paper gives modelled values of black carbon mass concentration which are in closer agreement with the measurements than from that of previous studies in which seasonality is mostly based on statistical data.
Bibliographic Reference: Article: Journal of Geophysical Research (1995)
Record Number: 199610126 / Last updated on: 1996-03-01
Original language: en
Available languages: en