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Global distribution of methane emissions, emission trends, and OH concentrations and trends inferred from an inversion of GOSAT satellite data for 2010–2015

机译:甲烷排放量的全球分布,排放趋势以及OH浓度以及从GOSAT卫星数据反演推算得出的趋势(2010-2015年)

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We use 2010–2015 observations of atmospheric methane columns from the GOSAT satellite instrument in a global inverse analysis to improve estimates of methane emissions and their trends over the period, as well as the global concentration of tropospheric OH (the hydroxyl radical, methane's main sink) and its trend. Our inversion solves the Bayesian optimization problem analytically including closed-form characterization of errors. This allows us to (1)?quantify the information content from the inversion towards optimizing methane emissions and its trends, (2)?diagnose error correlations between constraints on emissions and OH concentrations, and (3)?generate a large ensemble of solutions testing different assumptions in the inversion. We show how the analytical approach can be used, even when prior error standard deviation distributions are lognormal. Inversion results show large overestimates of Chinese coal emissions and Middle East oil and gas emissions in the EDGAR v4.3.2 inventory but little error in the United States where we use a new gridded version of the EPA national greenhouse gas inventory as prior estimate. Oil and gas emissions in the EDGAR v4.3.2 inventory show large differences with national totals reported to the United Nations Framework Convention on Climate Change (UNFCCC), and our inversion is generally more consistent with the UNFCCC data. The observed 2010–2015 growth in atmospheric methane is attributed mostly to an increase in emissions from India, China, and areas with large tropical wetlands. The contribution from OH trends is small in comparison. We find that the inversion provides strong independent constraints on global methane emissions (546?Tg?a sup?1/sup ) and global mean OH concentrations (atmospheric methane lifetime against oxidation by tropospheric OH of 10.8±0.4 years), indicating that satellite observations of atmospheric methane could provide a proxy for OH concentrations in the future.
机译:我们使用GOSAT卫星仪器的2010-2015年大气甲烷气柱观测值进行全球反分析,以改善对甲烷排放量及其在此期间的趋势以及对流层OH(氢氧自由基,甲烷的主要汇聚区)的全球浓度的估算。 )及其趋势。我们的反演分析地解决了贝叶斯优化问题,包括错误的闭合形式表征。这使我们能够(1)量化从反演到优化甲烷排放及其趋势的信息内容,(2)诊断排放约束和OH浓度之间的误差相关性,以及(3)生成大量的溶液测试集合反演中的不同假设。我们展示了即使在先前的误差标准偏差分布为对数正态分布的情况下,也可以使用分析方法。反演结果表明,EDGAR v4.3.2目录中的中国煤炭排放量以及中东石油和天然气排放量被高估了,而在美国,我们使用EPA国家温室气体清单的新网格版本作为先前的估算值,因此误差很小。 EDGAR v4.3.2清单中的石油和天然气排放与报告给《联合国气候变化框架公约》(UNFCCC)的国家总量相差很大,我们的反演通常更符合UNFCCC数据。观察到的2010-2015年大气中甲烷的增长主要归因于印度,中国和热带湿地面积大的地区排放量的增加。相比而言,OH趋势的贡献很小。我们发现,反演对全球甲烷排放量(546?Tg?a ?1 )和全球平均OH浓度(大气甲烷抵抗对流层OH氧化的寿命为10.8±0.4年)提供了强大的独立约束,表明卫星对大气中甲烷的观测可以为将来的OH浓度提供替代指标。

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