Industrial Ecology Programme, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Institute of Environmental Sciences CML, Leiden University, Einsteinweg 2, 2333 CC, Leiden, Netherlands.
Sci Data. 2019 Jun 24;6(1):99. doi: 10.1038/s41597-019-0102-x.
The UNFCCC requires the annual reporting of greenhouse gas emissions. These inventories focus on emissions within a territory, and do not capture the effect of emissions embodied in imports. Consumption based carbon accounting (CBCA) has been proposed as a complementary method to capture these emissions, and a number of global models have been developed to operationalise CBCA. However, discrepancies in country-level CBCA results occur, which can cause concern for the practical use of CBCA. Despite these quantitative difference in results, do they provide robust results when changes over time are investigated? Here we present results of all the major global models and normalise the model results by looking at changes over time relative to a common base year value. We give an analysis of the variability across the models, both before and after normalisation in order to give insights into variance at national and regional level. A dataset of harmonised results (based on means) and measures of dispersion is presented, providing a baseline dataset for CBCA validation and analysis.
《联合国气候变化框架公约》要求各国每年报告温室气体排放量。这些清单侧重于领土内的排放量,并未捕捉到进口产品中所含排放物的影响。基于消费的碳核算(CBCA)已被提议作为一种补充方法来捕获这些排放物,并且已经开发了许多全球模型来实施 CBCA。然而,在国家层面上的 CBCA 结果存在差异,这可能会引起人们对 CBCA 实际应用的关注。尽管这些结果在数量上存在差异,但当研究随时间的变化时,它们是否提供了可靠的结果?在这里,我们展示了所有主要全球模型的结果,并通过相对于共同基准年值随时间的变化来归一化模型结果。我们分析了归一化前后模型之间的可变性,以便深入了解国家和地区层面的差异。我们还提供了一个经过协调的结果数据集(基于平均值)和离散度度量标准,为 CBCA 的验证和分析提供了一个基准数据集。