Global Greenhouse Gas Reconciliation 2022

IF 11.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Zhu Deng, Philippe Ciais, Liting Hu, Adrien Martinez, Marielle Saunois, Rona L. Thompson, Kushal Tibrewal, Wouter Peters, Brendan Byrne, Giacomo Grassi, Paul I. Palmer, Ingrid T. Luijkx, Zhu Liu, Junjie Liu, Xuekun Fang, Tengjiao Wang, Hanqin Tian, Katsumasa Tanaka, Ana Bastos, Stephen Sitch, Benjamin Poulter, Clément Albergel, Aki Tsuruta, Shamil Maksyutov, Rajesh Janardanan, Yosuke Niwa, Bo Zheng, Joël Thanwerdas, Dmitry Belikov, Arjo Segers, Frédéric Chevallier
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引用次数: 0

Abstract

Abstract. In this study, we provide an update of the methodology and data used by Deng et al. (2022) to compare the national greenhouse gas inventories (NGHGIs) and atmospheric inversion model ensembles contributed by international research teams coordinated by the Global Carbon Project. The comparison framework uses transparent processing of the net ecosystem exchange fluxes of carbon dioxide (CO2) from inversions to provide estimates of terrestrial carbon stock changes over managed land that can be used to evaluate NGHGIs. For methane (CH4), and nitrous oxide (N2O), we separate anthropogenic emissions from natural sources based directly on the inversion results, to make them compatible with NGHGIs. Our global harmonized NGHGIs database was updated with inventory data until February 2023 by compiling data from periodical UNFCCC inventories by Annex I countries and sporadic and less detailed emissions reports by non-Annex I countries given by National Communications and Biennial Update Reports. For the inversion data, we used an ensemble of 22 global inversions produced for the most recent assessments of the global budgets of CO2, CH4 and N2O coordinated by the Global Carbon Project with ancillary data. The CO2 inversion ensemble in this study goes through 2021, building on our previous report from 1990 to 2019, and includes three new satellite inversions compared to the previous study, and an improved managed land mask. As a result, although significant differences exist between the CO2 inversion estimates, both satellite and in-situ inversions over managed lands indicate that Russia and Canada had a larger land carbon sink in recent years than reported in their NGHGIs, while the NGHGIs reported a significant upward trend of carbon sink in Russia but a downward trend in Canada. For CH4 and N2O, the results of the new inversion ensembles are extended to 2020. Rapid increases in anthropogenic CH4 emissions were observed in developing countries, with varying levels of agreement between NGHGIs and inversion results, while developed countries showed a slow declining or stable trend in emissions. Much denser sampling and higher atmospheric CO2 and CH4 concentrations by different satellites, are expected in the coming years. The methodology proposed here to compare inversion results with NGHGIs can be applied regularly for monitoring the effectiveness of mitigation policy and progress by countries to meet the objective of their pledges. The dataset constructed for this study is publicly available at https://doi.org/10.5281/zenodo.10841716 (Deng et al., 2024).
2022 年全球温室气体调节
摘要在本研究中,我们对 Deng 等人(2022 年)使用的方法和数据进行了更新,以比较国家温室气体清单(NGHGIs)和由全球碳项目协调的国际研究团队提供的大气反演模型集合。比较框架利用对反演得出的二氧化碳(CO2)净生态系统交换通量的透明处理,提供可用于评估国家温室气体清单的受管理土地陆地碳储量变化的估算值。对于甲烷(CH4)和一氧化二氮(N2O),我们直接根据反演结果将人为排放与自然排放分离开来,使其与NGHGIs相兼容。通过汇编附件一国家的《联合国气候变化框架公约》定期清单数据以及非附件一国家在国家信息通报和两年期更新报告中提供的零星且不太详细的排放报告数据,我们对全球统一的NGHGIs数据库进行了更新,将清单数据更新至2023年2月。在反演数据方面,我们使用了全球碳项目协调的二氧化碳、甲烷和一氧化二氮全球预算最新评估所产生的 22 个全球反演集合及辅助数据。本研究中的二氧化碳反演集合一直持续到 2021 年,以我们之前从 1990 年到 2019 年的报告为基础,与之前的研究相比,包含了三个新的卫星反演,以及一个改进的可管理陆地掩模。因此,尽管二氧化碳反演估计值之间存在显著差异,但卫星反演和受管理土地的原位反演均表明,俄罗斯和加拿大近年来的陆地碳汇大于其 NGHGIs 报告的碳汇,而 NGHGIs 报告俄罗斯的碳汇呈显著上升趋势,但加拿大的碳汇呈下降趋势。在甲烷和一氧化二氮方面,新的反演集合结果被延伸到了 2020 年。发展中国家的人为甲烷(CH4)排放量迅速增加,NGHGIs 和反演结果之间存在不同程度的一致性,而发达国家的排放量呈缓慢下降或稳定趋势。预计未来几年不同卫星的采样会更加密集,大气中二氧化碳和甲烷的浓度也会更高。本文提出的将反演结果与 NGHGIs 进行比较的方法可定期用于监测减缓政策的有效性以及各国在实现其承诺目标方面的进展。为本研究构建的数据集可在 https://doi.org/10.5281/zenodo.10841716 上公开获取(Deng 等,2024 年)。
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来源期刊
Earth System Science Data
Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍: Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.
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