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DOI10.5194/essd-14-1639-2022
Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions
Deng, Zhu; Ciais, Philippe; Tzompa-Sosa, Zitely A.; Saunois, Marielle; Qiu, Chunjing; Tan, Chang; Sun, Taochun; Ke, Piyu; Cui, Yanan; Tanaka, Katsumasa; Lin, Xin; Thompson, Rona L.; Tian, Hanqin; Yao, Yuanzhi; Huang, Yuanyuan; Lauerwald, Ronny; Jain, Atul K.; Xu, Xiaoming; Bastos, Ana; Sitch, Stephen; Palmer, Paul I.; Lauvaux, Thomas; d'Aspremont, Alexandre; Giron, Clement; Benoit, Antoine; Poulter, Benjamin; Chang, Jinfeng; Petrescu, Ana Maria Roxana; Davis, Steven J.; Liu, Zhu; Grassi, Giacomo; Albergel, Clement; Tubiello, Francesco N.; Perugini, Lucia; Peters, Wouter; Chevallier, Frederic
发表日期2022
ISSN1866-3508
EISSN1866-3516
起始页码1639
结束页码1675
卷号14期号:4
英文摘要In support of the global stocktake of the Paris Agreement on climate change, this study presents a comprehensive framework to process the results of an ensemble of atmospheric inversions in order to make their net ecosystem exchange (NEE) carbon dioxide (CO2) flux suitable for evaluating national greenhouse gas inventories (NGHGIs) submitted by countries to the United Nations Framework Convention on Climate Change (UNFCCC). From inversions we also deduced anthropogenic methane (CH4) emissions regrouped into fossil and agriculture and waste emissions, as well as anthropogenic nitrous oxide (N2O) emissions. To compare inversion results with national reports, we compiled a new global harmonized database of emissions and removals from periodical UNFCCC inventories by Annex I countries, and from sporadic and less detailed emissions reports by non-Annex I countries, given by national communications and biennial update reports. No gap filling was applied. The method to reconcile inversions with inventories is applied to selected large countries covering similar to 90% of the global land carbon uptake for CO2 and top emitters of CH4 and N2O. Our method uses results from an ensemble of global inversions produced by the Global Carbon Project for the three greenhouse gases, with ancillary data. We examine the role of CO2 fluxes caused by lateral transfer processes from rivers and from trade in crop and wood products and the role of carbon uptake in unmanaged lands, both not accounted for by NGHGIs. Here we show that, despite a large spread across the inversions, the median of available inversion models points to a larger terrestrial carbon sink than inventories over temperate countries or groups of countries of the Northern Hemisphere like Russia, Canada and the European Union. For CH4, we find good consistency between the inversions assimilating only data from the global in situ network and those using satellite CH4 retrievals and a tendency for inversions to diagnose higher CH4 emission estimates than reported by NGHGIs. In particular, oil- and gas-extracting countries in central Asia and the Persian Gulf region tend to systematically report lower emissions compared to those estimated by inversions. For N2O, inversions tend to produce higher anthropogenic emissions than inventories for tropical countries, even when attempting to consider only managed land emissions. In the inventories of many non-Annex I countries, this can be tentatively attributed to a lack of reporting indirect N2O emissions from atmospheric deposition and from leaching to rivers, to the existence of natural sources intertwined with managed lands, or to an underestimation of N2O emission factors for direct agricultural soil emissions. Inversions provide insights into seasonal and interannual greenhouse gas fluxes anomalies, e.g., during extreme events such as drought or abnormal fire episodes, whereas inventory methods are established to estimate trends and multi-annual changes. As a much denser sampling of atmospheric CO2 and CH4 concentrations by different satellites coordinated into a global constellation is expected in the coming years, the methodology proposed here to compare inversion results with inventory reports (e.g., NGHGIs) could be applied regularly for monitoring the effectiveness of mitigation policy and progress by countries to meet the objective of their pledges. The dataset constructed by this study is publicly available at https://doi.org/10.5281/zenodo.5089799 (Deng et al., 2021).
语种英语
WOS研究方向Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS类目Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000780085600001
来源期刊EARTH SYSTEM SCIENCE DATA
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/280888
作者单位Tsinghua University; Universite Paris Saclay; CEA; Centre National de la Recherche Scientifique (CNRS); Universite Paris Cite; Nanjing University; National Institute for Environmental Studies - Japan; NILU; Auburn University System; Auburn University; Commonwealth Scientific & Industrial Research Organisation (CSIRO); INRAE; Universite Paris Saclay; AgroParisTech; University of Illinois System; University of Illinois Urbana-Champaign; Max Planck Society; University of Exeter; University of Edinburgh; University of Edinburgh; Centre National de la Recherche Scientifique (CNRS); Universite PSL; Ecole Normale Superieure (ENS); Universite PSL; Ecole Normale Superieure (ENS); National Aeronautics & Space Administration (NASA); NASA Goddard Space Flight Center; Zhejiang University; Vrije Universiteit Amsterdam; University of California System; University of California Irvine; European Commission Joint Research Centre; EC JRC ISPRA Site; European Space Agency; Food & Agriculture Organization of the United Nation...
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GB/T 7714
Deng, Zhu,Ciais, Philippe,Tzompa-Sosa, Zitely A.,et al. Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions[J],2022,14(4).
APA Deng, Zhu.,Ciais, Philippe.,Tzompa-Sosa, Zitely A..,Saunois, Marielle.,Qiu, Chunjing.,...&Chevallier, Frederic.(2022).Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions.EARTH SYSTEM SCIENCE DATA,14(4).
MLA Deng, Zhu,et al."Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions".EARTH SYSTEM SCIENCE DATA 14.4(2022).
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