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Estimates of black carbon emissions in the western United States using the GEOS-Chem adjoint model

机译:使用GEOS-Chem伴随模型估算美国西部的黑碳排放量

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We estimate black carbon (BC) emissions in the western United States for July-September 2006 by inverting surface BC concentrations from the Interagency Monitoring of Protected Visual Environments (IMPROVE) network using a global chemical transport model (GEOS-Chem) and its adjoint. Our best estimate of the BC emissions is 49.9 Gg at 2 degrees x 2.5 degrees (a factor of 2.1 increase) and 47.3 Gg at 0.5 degrees x 0.667 degrees (1.9 times increase). Model results now capture the observed major fire episodes with substantial bias reductions (similar to 35% at 2 degrees x 2.5 degrees and similar to 15% at 0.5 degrees x 0.667 degrees). The emissions are similar to 20-50% larger than those from our earlier analytical inversions (Mao et al., 2014). The discrepancy is especially drastic in the partitioning of anthropogenic versus biomass burning emissions. The August biomass burning BC emissions are 4.6-6.5 Gg and anthropogenic BC emissions 8.6-12.8 Gg, varying with the model resolution, error specifications, and subsets of observations used. On average both anthropogenic and biomass burning emissions in the adjoint inversions increase 2-fold relative to the respective a priori emissions, in distinct contrast to the halving of the anthropogenic and tripling of the biomass burning emissions in the analytical inversions. We attribute these discrepancies to the inability of the adjoint inversion system, with limited spatiotemporal coverage of the IMPROVE observations, to effectively distinguish collocated anthropogenic and biomass burning emissions on model grid scales. This calls for concurrent measurements of other tracers of biomass burning and fossil fuel combustion (e.g., carbon monoxide and carbon isotopes). We find that the adjoint inversion system as is has sufficient information content to constrain the total emissions of BC on the model grid scales.
机译:我们通过使用全球化学迁移模型(GEOS-Chem)及其伴随物,通过对受保护视觉环境的机构间监测(IMPROVE)网络中的表面BC浓度进行反演,来估算2006年7月至9月美国西部的黑碳(BC)排放量。我们对BC排放的最佳估计是2度x 2.5度(增加2.1倍)时为49.9 Gg,0.5度x 0.667度(增加1.9倍)时为47.3 Gg。现在,模型结果捕获了观察到的主要起火事件,并具有明显的偏差降低(在2度x 2.5度时约为35%,在0.5度x 0.667度时约为15%)。排放量比我们之前的分析反演的排放量大20-50%(Mao等,2014)。在人为燃烧排放量与生物燃料燃烧排放量之间的分配上,这种差异尤为严重。 8月燃烧生物质的BC排放量为4.6-6.5 Gg,人为的BC排放量为8.6-12.8 Gg,随模型分辨率,误差规格和所用观测值的子集而变化。平均而言,伴随反转的人为和生物量燃烧排放量相对于各自的先验排放量增加了2倍,这与分析反转中的人为和生物量燃烧排放量减少了一半形成鲜明对比。我们将这些差异归因于伴随反演系统的能力不足,IMPROVE观测值的时空覆盖范围有限,无法在模型网格尺度上有效地区分人为和生物量燃烧排放。这要求同时测量生物质燃烧和化石燃料燃烧的其他示踪剂(例如一氧化碳和碳同位素)。我们发现,伴随反演系统本身具有足够的信息内容,可以在模型网格规模上约束BC的总排放量。

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