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Near-Real Time Global Biomass Burning Emissions Product from Multiple Geostationary Satellites

机译:近实时全球生物量燃烧多个地球静止卫星的排放产品

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Near-real time estimates of biomass burning emissions are important for air quality monitoring and forecasting. We present here the preliminary analysis of global biomass burning emission product (GBBEP) produced from geostationary-satellite-derived fire radiative power (FRP) in near-real time. Specifically, the FRP is retrieved at an interval of 15 to 30 minutes using WF_ABBA_V65 (Wildfire Automated Biomass Burning Algorithm) from multiple geostationary satellites. The missing FRP detections are simulated by combining the available instantaneous FRP observations within a day and the representative ecosystem-dependent climatologic diurnal pattern of half-hourly FRPs. Finally, the diurnal variation in FRP is applied to quantify global emissions of PM2.5 (particulate mass for particles with diameter < 2.5 μm) and trace gases with a one-day latency. The algorithm is tested by analyzing global patterns in hourly biomass burning emissions for 2010.
机译:近实时对生物质燃烧排放的估计对于空气质量监测和预测是重要的。这里我们在此临时分析了近期地质卫星 - 卫星衍生的火焰辐射功率(FRP)生产的全球生物量燃烧发射产品(GBBEP)。具体地,使用来自多个地球静止卫星的WF_ABBA_V65(野火自动化生物量燃烧算法)以15至30分钟的间隔检索FRP。通过将可用的瞬时FRP观测结合在一天内的可用瞬时FRP观测和代表性生态系统相关的气候昼夜模式的半小时FRPS的缺失的FRP检测来模拟缺失的FRP检测。最后,施加FRP的昼夜变化以量化PM2.5(颗粒物质的颗粒物质为颗粒的颗粒物质<2.5μm)和痕量气体。通过分析2010年的每小时生物量燃烧排放量的全局模式来测试该算法。

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