当前位置: X-MOL 学术Biogeosciences › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Sensitivity of biomass burning emissions estimates to land surface information
Biogeosciences ( IF 4.9 ) Pub Date : 2021-06-10 , DOI: 10.5194/bg-2021-130
Makoto Saito , Tomohiro Shiraishi , Ryuichi Hirata , Yosuke Niwa , Kazuyuki Saito , Martin Steinbacher , Doug Worthy , Tsuneo Matsunaga

Abstract. Emissions from biomass burning (BB) are a key source of atmospheric tracer gases that affect the atmospheric carbon cycle. We estimated four types of global BB emissions using a bottom-up approach and by combining the remote sensing products related to fire distribution with two aboveground biomass (AGB) and two land cover classification (LCC) distributions. The sensitivity of the estimates of BB emissions to the AGB and LCC data was evaluated using the carbon monoxide (CO) emissions associated with each BB estimate. We found a substantial spatial difference in CO emissions for both the AGB and LCC data, which resulted in a large (factor of approximately three) spread of estimates for the mean annual CO emissions. We simulated atmospheric CO variability using an atmospheric tracer transport model and the BB emissions estimates and compared it with ground-based and satellite observations. At ground-based observation sites during fire seasons, statistical comparisons indicated that the impact of differences in the BB emissions estimates on atmospheric CO variability was poorly defined in our simulations. However, when compared at the regional and global scales, the distribution of atmospheric CO concentrations in the simulations show substantial differences among the estimates of BB emissions. These results indicate that the estimates of BB emissions are highly sensitive to the AGB and LCC data.

中文翻译:

生物质燃烧排放估算对地表信息的敏感性

摘要。生物质燃烧 (BB) 的排放是影响大气碳循环的大气示踪气体的主要来源。我们使用自下而上的方法并将与火灾分布相关的遥感产品与两种地上生物量 (AGB) 和两种土地覆盖分类 (LCC) 分布相结合,估计了四种类型的全球 BB 排放。使用与每个 BB 估计相关的一氧化碳 (CO) 排放来评估 BB 排放估计对 AGB 和 LCC 数据的敏感性。我们发现 AGB 和 LCC 数据的 CO 排放量存在显着的空间差异,这导致对年平均 CO 排放量的估计有很大的差异(大约为三倍)。我们使用大气示踪剂传输模型和 BB 排放估计模拟了大气 CO 变化,并将其与地面和卫星观测进行了比较。在火灾季节的地面观测站点,统计比较表明,BB 排放估计的差异对大气 CO 变异性的影响在我们的模拟中定义不明确。然而,在区域和全球尺度上进行比较时,模拟中大气 CO2 浓度的分布显示出 BB 排放估计值之间存在显着差异。这些结果表明 BB 排放的估计对 AGB 和 LCC 数据高度敏感。统计比较表明,在我们的模拟中,BB 排放估计的差异对大气 CO 变异性的影响没有明确定义。然而,在区域和全球尺度上进行比较时,模拟中大气 CO2 浓度的分布显示出 BB 排放估计值之间存在显着差异。这些结果表明 BB 排放的估计对 AGB 和 LCC 数据高度敏感。统计比较表明,在我们的模拟中,BB 排放估计的差异对大气 CO 变异性的影响没有明确定义。然而,在区域和全球尺度上进行比较时,模拟中大气 CO2 浓度的分布显示出 BB 排放估计值之间存在显着差异。这些结果表明 BB 排放的估计对 AGB 和 LCC 数据高度敏感。
更新日期:2021-06-10
down
wechat
bug