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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >SEASONALITY OF VEGETATION FIRES IN AFRICA FROM REMOTE SENSING DATA AND APPLICATION TO A GLOBAL CHEMISTRY MODEL
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SEASONALITY OF VEGETATION FIRES IN AFRICA FROM REMOTE SENSING DATA AND APPLICATION TO A GLOBAL CHEMISTRY MODEL

机译：基于遥感数据的非洲植被火灾的季节敏感性及其在全球化学模型中的应用

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This paper sets out to show the potential use of remote sensing of active vegetation fires for continental- to global-scale modeling of biomass burning studies. It focuses on the analysis of the seasonality of vegetation fires for the African continent, as derived from NOAA-AVHRR-GAC-5km satellite data. These data are ideally suited for savanna fires, which constitute between 60 and 80% of the biomass burnt in Africa. Monthly counts of fire pixels, within 1 degrees latitude x 1 degrees longitude grid cells, over continental Africa have been calculated from November 1984 through October 1989. These 1 degrees grid cells are summated to a 5 degrees x 5 degrees grid to enable comparison with previous studies and are analyzed at this resolution to show various features of the fire season. The analysis 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, for a given area, a temporal shift in the timing of the fire season from year to year. Such an interannual variability of fire seasonality makes satellite data more appropriate than statistical data for the modeling of atmospheric transport of vegetation fire products and the comparison with experimental measurements. Modeled values of black carbon mass concentration from a global transport model (MOGUNTIA), using the seasonality of biomass burning as an independent variable, are compared with measurements taken at Amsterdam Island (38 degrees 30'8, 77 degrees 30'E) and Lamto, Ivory Coast (6 degrees N, 5 degrees W). Although 5-year averaged satellite data were used, the seasonality as derived from satellite data determined in this paper gives modeled values of black carbon mass concentration that are in good agreement with the measurements. [References: 41]
机译：本文着手说明活跃植被火灾的遥感在生物量燃烧研究的全球范围建模中的潜在用途。它着重于分析从NOAA-AVHRR-GAC-5km卫星数据得出的非洲大陆植被火灾的季节性。这些数据非常适合热带稀树草原大火，它们占非洲燃烧的生物质的60％至80％。从1984年11月到1989年10月，计算了非洲大陆上1度纬度x 1度经度网格单元中的火像素的月度计数。将这些1度网格单元累加为5度x 5度网格，以便与以前的网格进行比较研究并以此分辨率进行分析，以显示火灾季节的各种特征。分析表明，先前描述生物质燃烧季节特征的尝试往往低估了燃烧高峰期的强度，或者预测某些地区的火季过长。它还表明，对于给定区域，火灾季节的时间可能会逐年随时间变化。这样的火季节季节性变化使卫星数据比统计数据更适合用于模拟植物火产品的大气传输并与实验测量结果进行比较。将全球运输模型（MOGUNTIA）的黑碳质量浓度模型值（以生物质燃烧的季节作为自变量）与在阿姆斯特丹岛（38度30'8、77度30'E）和拉姆托进行的测量进行比较，象牙海岸（北纬6度，西经5度）。尽管使用了5年的平均卫星数据，但从本文确定的卫星数据得出的季节性数据给出的黑碳质量浓度模型值与测量值非常吻合。 [参考：41]

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