Global Carbon Budget 2017

生物圈 环境科学 碳循环 温室气体 大气科学 森林砍伐(计算机科学) 气候变化 二氧化碳 化石燃料 全球变暖 全球变化 气候学 碳汇 地质学 海洋学 生态系统 程序设计语言 生物 计算机科学 生态学
作者
Corinne Le Quéré,Robbie M. Andrew,Pierre Friedlingstein,Stephen Sitch,Julia Pongratz,Alistair J. Manning,Jan Ivar Korsbakken,Glen P. Peters,Josep G. Canadell,Robert B. Jackson,Thomas A. Boden,Pieter P. Tans,Oliver Andrews,Vivek K. Arora,Dorothée C. E. Bakker,Leticia Barbero,Meike Becker,Richard Betts,Laurent Bopp,Frédéric Chevallier,Louise Chini,Philippe Ciais,Catherine E Cosca,Jessica Cross,Kim Currie,Thomas Gasser,Ian Harris,Judith Hauck,Vanessa Haverd,R. A. Houghton,Christopher W Hunt,G. C. Hurtt,Tatiana Ilyina,Atul K. Jain,Etsushi Kato,Markus Kautz,Ralph F. Keeling,Kees Klein Goldewijk,Arne Körtzinger,Peter Landschützer,Nathalie Lefèvre,Andrew Lenton,Sebastian Lienert,Ivan D. Lima,Danica Lombardozzi,Nicolas Metzl,Frank J. Millero,Pedro M. S. Monteiro,David R. Munro,Julia E. M. S. Nabel,Shin‐Ichiro Nakaoka,Yukihiro Nojiri,X. A. Padín,Anna Peregon,Benjamin Pfeil,Denis Pierrot,Benjamin Poulter,Gregor Rehder,Janet J. Reimer,Christian Rödenbeck,Jörg Schwinger,Roland Séférian,Ingunn Skjelvan,Benjamin D. Stocker,Hanqin Tian,Bronte Tilbrook,Francesco N. Tubiello,Ingrid T. Luijkx,Guido R. van der Werf,Steven van Heuven,Nicolas Viovy,Nicolas Vuichard,Anthony P. Walker,Andrew Watson,Andy Wiltshire,Sönke Zaehle,Dan Zhu
出处
期刊:Earth System Science Data [Copernicus Publications]
卷期号:10 (1): 405-448 被引量:1003
标识
DOI:10.5194/essd-10-405-2018
摘要

Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the global carbon budget – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on land-cover change data and bookkeeping models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2007–2016), EFF was 9.4 ± 0.5 GtC yr−1, ELUC 1.3 ± 0.7 GtC yr−1, GATM 4.7 ± 0.1 GtC yr−1, SOCEAN 2.4 ± 0.5 GtC yr−1, and SLAND 3.0 ± 0.8 GtC yr−1, with a budget imbalance BIM of 0.6 GtC yr−1 indicating overestimated emissions and/or underestimated sinks. For year 2016 alone, the growth in EFF was approximately zero and emissions remained at 9.9 ± 0.5 GtC yr−1. Also for 2016, ELUC was 1.3 ± 0.7 GtC yr−1, GATM was 6.1 ± 0.2 GtC yr−1, SOCEAN was 2.6 ± 0.5 GtC yr−1, and SLAND was 2.7 ± 1.0 GtC yr−1, with a small BIM of −0.3 GtC. GATM continued to be higher in 2016 compared to the past decade (2007–2016), reflecting in part the high fossil emissions and the small SLAND consistent with El Niño conditions. The global atmospheric CO2 concentration reached 402.8 ± 0.1 ppm averaged over 2016. For 2017, preliminary data for the first 6–9 months indicate a renewed growth in EFF of +2.0 % (range of 0.8 to 3.0 %) based on national emissions projections for China, USA, and India, and projections of gross domestic product (GDP) corrected for recent changes in the carbon intensity of the economy for the rest of the world. This living data update documents changes in the methods and data sets used in this new global carbon budget compared with previous publications of this data set (Le Quéré et al., 2016, 2015b, a, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2017 (GCP, 2017).

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