首页> 外文期刊>Earth System Science Data >A comparison of estimates of global carbon dioxide emissions from fossil carbon sources
【24h】

A comparison of estimates of global carbon dioxide emissions from fossil carbon sources

机译:化石碳源全球二氧化碳排放估计比较

获取原文
       

摘要

Since the first estimate of global CO2 emissions was published in 1894, important progress has been made in the development of estimation methods while the number of available datasets has grown. The existence of parallel efforts should lead to improved accuracy and understanding of emissions estimates, but there remains significant deviation between estimates and relatively poor understanding of the reasons for this. Here I describe the most important global emissions datasets available today and – by way of global, large-emitter, and case examples – quantitatively compare their estimates, exploring the reasons for differences. In many cases differences in emissions come down to differences in system boundaries: which emissions sources are included and which are omitted. With minimal work in harmonising these system boundaries across datasets, the range of estimates of global emissions drops to 5 %, and further work on harmonisation would likely result in an even lower range, without changing the data. Some potential errors were found, and some discrepancies remain unexplained, but it is shown to be inappropriate to conclude that uncertainty in emissions is high simply because estimates exhibit a wide range. While “true” emissions cannot be known, by comparing different datasets methodically, differences that result from system boundaries and allocation approaches can be highlighted and set aside to enable identification of true differences, and potential errors. This must be an important way forward in improving global datasets of CO2 emissions. Data used to generate Figs.?3–18 are available at https://doi.org/10.5281/zenodo.3687042 (Andrew, 2020).
机译:自1894年出版的全球二氧化碳排放的第一次估计以来,在估计方法的发展中取得了重要进展,而现有数据集的数量已经增长。并行努力的存在应导致提高对排放估计的准确性和理解,但估计与对此原因相对较差的理解之间存在重大差异。在这里,我描述了今天的最重要的全球排放数据集,并通过全球,大发射器和案例示例 - 定量比较其估计,探索差异的原因。在许多情况下,排放的差异归结为系统边界的差异:包括哪些排放来源,省略了哪些排放来源。通过最小的工作,在数据集中协调这些系统边界,全球排放量的估算范围降至5%,并且进一步的协调工作可能导致甚至更低的范围,而不会改变数据。发现了一些潜在的错误,并且一些差异仍然无法解释,但显示不当因为得出结论,排放中的不确定性很高,因为估计呈广泛。虽然无法了解“真实”的排放,但是通过有条理地进行比较不同的数据集,可以突出显示系统边界和分配方法的差异并留出,以便能够识别真正的差异和潜在的错误。这必须是改进二氧化碳排放的全球数据集的重要途径。用于生成图18的数据在https://do.org/10.5281/zenodo.3687042(Andrew,2020)中有。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号