Using the Fire Weather Index (FWI) to improve the estimation of fire emissions from fire radiative power (FRP) observations
Using the Fire Weather Index (FWI) to improve the estimation of fire emissions from fire radiative power (FRP) observations
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DOI：
10.5194/acp-18-5359-2018
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发表时间：
2018-04-20
影响因子：
6.3
通讯作者：
Wetterhall, Fredrik
中科院分区：
文献类型：
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作者：
Di Giuseppe, Francesca;Remy, Samuel;Wetterhall, Fredrik
欧洲哥白尼大气监测服务 (CAMS) 的大气成分分析和预测依赖于全球火灾同化系统 (GFAS) 的生物质燃烧火灾排放估算。 GFAS 是一个全球系统，它将 MODIS 卫星的火灾辐射功率 (FRP) 观测结果转换为烟雾成分。使用持久性来填充缺失的观测值，从而及时更新前一天观测到的 FRP 值，直到记录新的观测值。这一假设的后果之一是火灾持续时间增加，这反过来又转化为火灾估计排放量与观测数据相比的增加。在这项研究中，持久性被使用加拿大火灾天气指数（FWI）的模型预测所取代，该指数描述了大气条件如何影响植被水分含量和最终火灾持续时间。新技术提高了预测生物质燃烧排放的技能，这表明在无法获得观测结果时，使用基于 FWI 的模型来推断 FRP 的排放优于持久性。
The atmospheric composition analysis and forecast for the European Copernicus Atmosphere Monitoring Services (CAMS) relies on biomass-burning fire emission estimates from the Global Fire Assimilation System (GFAS). The GFAS is a global system and converts fire radiative power (FRP) observations from MODIS satellites into smoke constituents. Missing observations are filled in using persistence, whereby observed FRP values from the previous day are progressed in time until a new observation is recorded. One of the consequences of this assumption is an increase of fire duration, which in turn translates into an increase of emissions estimated from fires compared to what is available from observations. In this study persistence is replaced by modelled predictions using the Canadian Fire Weather Index (FWI), which describes how atmospheric conditions affect the vegetation moisture content and ultimately fire duration. The skill in predicting emissions from biomass burning is improved with the new technique, which indicates that using an FWI-based model to infer emissions from FRP is better than persistence when observations are not available.