Wageningen University & Research (The Netherlands); University of Groningen, Nijenborgh (The Netherlands)
University of Bergen and Bjerknes Centre for Climate Research (Norway); NORCE Norwegian Research Centre and Bjerknes Centre for Climate Research, Bergen (Norway)
NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
Leibniz Institute for Baltic Sea Research Warnemünde, Rostock (Germany)
Princeton Univ., NJ (United States)
Met Office Hadley Centre, Exeter (United States)
Centre National de Recherche Météorologique, Unite mixte de recherche 3589 Météo-France/CNRS, Toulouse (France)
Max Planck Institute for Biogeochemistry, Jena (Germany)
NORCE Norwegian Research Centre and Bjerknes Centre for Climate Research, Bergen (Norway)
GEOMAR Helmholtz Centre for Ocean Research Kiel (Germany)
National Oceanic & Atmospheric Administration/Pacific Marine Environmental Laboratory (NOAA/PMEL), Seattle, WA (United States)
National Oceanic & Atmospheric Administration, Earth System Research Laboratory (NOAA/ESRL), Boulder, CO (United States)
Auburn Univ., AL (United States)
Food and Agriculture Organization of the United Nations, Rome (Italy)
Wageningen University & Research (The Netherlands)
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 ofthe global carbon budget and their uncertainties. Fossil CO2emissions (EFF) are based on energy statistics and cement production data, while emissions from land use and land-use change (ELUC), mainly deforestation, are based on land use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly and its growth rate (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 (2008–2017), EFF was9.4±0.5 GtC yr-1, ELUC 1.5±0.7 GtC yr-1, GATM 4.7±0.02 GtC yr-1, SOCEAN 2.4±0.5 GtC yr-1, and SLAND 3.2±0.8 GtC yr-1, with a budget imbalance BIM of0.5 GtC yr-1 indicating overestimated emissions and/or underestimated sinks. For the year 2017 alone, the growth in EFF was about 1.6 %and emissions increased to 9.9±0.5 GtC yr-1. Also for 2017,ELUC was 1.4±0.7 GtC yr-1, GATM was 4.6±0.2 GtC yr-1, SOCEAN was 2.5±0.5 GtC yr-1, and SLAND was 3.8±0.8 GtC yr-1,with a BIM of 0.3 GtC. The global atmosphericCO2 concentration reached 405.0±0.1 ppm averaged over 2017.For 2018, preliminary data for the first 6–9 months indicate a renewed growth in EFF of +2.7 % (range of 1.8 % to 3.7 %) based on national emission projections for China, the US, the EU, and India and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. The analysis presented here shows that the mean and trend in the five components of the global carbon budget are consistently estimated over the period of 1959–2017,but discrepancies of up to 1 GtC yr-1 persist for the representation of semi-decadal variability in CO2 fluxes. A detailed comparison among individual estimates and the introduction of a broad range of observations show (1) no consensus in the mean and trend in land-use change emissions, (2) a persistent low agreement among the different methods on the magnitude of the land CO2 flux in the northern extra-tropics,and (3) an apparent underestimation of the CO2 variability by ocean models, originating outside the tropics. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding the global carbon cycle compared with previous publications of this data set (Le Quéré et al., 2018, 2016,2015a, b, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2018.
Le Quéré, Corinne, Andrew, Robbie M., Friedlingstein, Pierre, et al., "Global Carbon Budget 2018," Earth System Science Data (Online) 10, no. 4 (2018), https://doi.org/10.5194/essd-10-2141-2018
@article{osti_1502552,
author = {Le Quéré, Corinne and Andrew, Robbie M. and Friedlingstein, Pierre and Sitch, Stephen and Hauck, Judith and Pongratz, Julia and Pickers, Penelope A. and Korsbakken, Jan Ivar and Peters, Glen P. and Canadell, Josep G. and others},
title = {Global Carbon Budget 2018},
annote = {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 ofthe global carbon budget and their uncertainties. Fossil CO2emissions (EFF) are based on energy statistics and cement production data, while emissions from land use and land-use change (ELUC), mainly deforestation, are based on land use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly and its growth rate (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 (2008–2017), EFF was9.4±0.5 GtC yr-1, ELUC 1.5±0.7 GtC yr-1, GATM 4.7±0.02 GtC yr-1, SOCEAN 2.4±0.5 GtC yr-1, and SLAND 3.2±0.8 GtC yr-1, with a budget imbalance BIM of0.5 GtC yr-1 indicating overestimated emissions and/or underestimated sinks. For the year 2017 alone, the growth in EFF was about 1.6 %and emissions increased to 9.9±0.5 GtC yr-1. Also for 2017,ELUC was 1.4±0.7 GtC yr-1, GATM was 4.6±0.2 GtC yr-1, SOCEAN was 2.5±0.5 GtC yr-1, and SLAND was 3.8±0.8 GtC yr-1,with a BIM of 0.3 GtC. The global atmosphericCO2 concentration reached 405.0±0.1 ppm averaged over 2017.For 2018, preliminary data for the first 6–9 months indicate a renewed growth in EFF of +2.7 % (range of 1.8 % to 3.7 %) based on national emission projections for China, the US, the EU, and India and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. The analysis presented here shows that the mean and trend in the five components of the global carbon budget are consistently estimated over the period of 1959–2017,but discrepancies of up to 1 GtC yr-1 persist for the representation of semi-decadal variability in CO2 fluxes. A detailed comparison among individual estimates and the introduction of a broad range of observations show (1) no consensus in the mean and trend in land-use change emissions, (2) a persistent low agreement among the different methods on the magnitude of the land CO2 flux in the northern extra-tropics,and (3) an apparent underestimation of the CO2 variability by ocean models, originating outside the tropics. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding the global carbon cycle compared with previous publications of this data set (Le Quéré et al., 2018, 2016,2015a, b, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2018.},
doi = {10.5194/essd-10-2141-2018},
url = {https://www.osti.gov/biblio/1502552},
journal = {Earth System Science Data (Online)},
issn = {ISSN 1866-3516},
number = {4},
volume = {10},
place = {United States},
publisher = {Copernicus},
year = {2018},
month = {12}}
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 369, Issue 1943https://doi.org/10.1098/rsta.2011.0002