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Implications of overestimated anthropogenic CO2 emissions on East Asian and global land CO2 flux inversion

机译:高估人为CO 2 排放量对东亚和全球陆地CO 2 通量反演的影响

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Abstract Measurement and modelling of regional or country-level carbon dioxide (CO~(2)) fluxes are becoming critical for verification of the greenhouse gases emission control. One of the commonly adopted approaches is inverse modelling, where CO~(2) fluxes (emission: positive flux, sink: negative flux) from the terrestrial ecosystems are estimated by combining atmospheric CO~(2) measurements with atmospheric transport models. The inverse models assume anthropogenic emissions are known, and thus the uncertainties in the emissions introduce systematic bias in estimation of the terrestrial (residual) fluxes by inverse modelling. Here we show that the CO~(2) sink increase, estimated by the inverse model, over East Asia (China, Japan, Korea and Mongolia), by about 0.26?PgC?year_(?1) (1 Pg?=?10_(12) g) during 2001–2010, is likely to be an artifact of the anthropogenic CO~(2) emissions increasing too quickly in China by 1.41?PgC?year_(?1). Independent results from methane (CH~(4)) inversion suggested about 41% lower rate of East Asian CH~(4) emission increase during 2002–2012. We apply a scaling factor of 0.59, based on CH~(4) inversion, to the rate of anthropogenic CO~(2) emission increase since the anthropogenic emissions of both CO~(2) and CH~(4) increase linearly in the emission inventory. We find no systematic increase in land CO~(2) uptake over East Asia during 1993–2010 or 2000–2009 when scaled anthropogenic CO~(2) emissions are used, and that there is a need of higher emission increase rate for 2010–2012 compared to those calculated by the inventory methods. High bias in anthropogenic CO~(2) emissions leads to stronger land sinks in global land–ocean flux partitioning in our inverse model. The corrected anthropogenic CO~(2) emissions also produce measurable reductions in the rate of global land CO~(2) sink increase post-2002, leading to a better agreement with the terrestrial biospheric model simulations that include CO~(2)-fertilization and climate effects.
机译:摘要区域或国家水平的二氧化碳(CO〜(2))通量的测量和建模对于验证温室气体排放控制至关重要。逆向建模是一种常用的方法,其中通过结合大气CO〜(2)的测量值和大气传输模型来估算来自陆地生态系统的CO〜(2)通量(排放:正通量,汇:负通量)。逆模型假设人为排放是已知的,因此排放中的不确定性会在通过逆建模估算地面(残留)通量时引入系统性偏差。在这里,我们显示了通过逆模型估计的东亚(中国,日本,韩国和蒙古)CO〜(2)汇增加了约0.26?PgC?year _(?1)(1 Pg?=?10_ (12)g)可能是人为的CO〜(2)排放在中国以1.41?PgC?year _(?1)增长过快的产物。甲烷(CH〜(4))反演的独立结果表明,在2002–2012年期间,东亚CH〜(4)的排放增加率降低了约41%。我们将基于CH〜(4)反演的比例因子0.59应用于人为CO〜(2)排放增加的速率,因为CO〜(2)和CH〜(4)的人为排放均在线性增长。排放清单。我们发现,当使用规模化的人为CO〜(2)排放量时,1993–2010年或2000–2009年东亚地区的土地CO〜(2)吸收量没有系统地增加,并且2010–与通过清单方法计算得出的2012年相比。在我们的逆模型中,人为CO〜(2)排放的高偏差导致全球陆地-海洋通量分配中更强大的陆地汇聚。校正后的人为CO〜(2)排放量还导致全球土地上的CO〜(2)汇增加速率在2002年后有可观的降低,从而与包括CO〜(2)施肥在内的陆地生物圈模型模拟更好地达成了一致。和气候影响。

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