FN Archimer Export Format PT J TI Global carbon budget 2014 BT AF LE QUERE, C. MORIARTY, R. ANDREW, R. M. PETERS, G. P. CIAIS, P. FRIEDLINGSTEIN, P. JONES, S. D. SITCH, S. TANS, P. ARNETH, A. BODEN, T. A. BOPP, L. BOZEC, Y. CANADELL, J. G. CHINI, L. P. CHEVALLIER, F. COSCA, C. E. HARRIS, I. HOPPEMA, M. HOUGHTON, R. A. HOUSE, J. I. JAIN, A. K. JOHANNESSEN, T. KATO, E. KEELING, R. F. KITIDIS, V. KLEIN GOLDEWIJK, K. KOVEN, C. LANDA, C. S. LANDSCHUETZER, P. LENTON, A. LIMA, I. D. MARLAND, G. MATHIS, J. T. METZL, N. NOJIRI, Y. OLSEN, A. ONO, T. PENG, S. PETERS, W. PFEIL, B. POULTER, B. RAUPACH, M. R. REGNIER, P. ROEDENBECK, C. SAITO, S. SALISBURY, J. E. SCHUSTER, U. SCHWINGER, J. SEFERIAN, R. SEGSCHNEIDER, J. STEINHOFF, T. STOCKER, B. D. SUTTON, A. J. TAKAHASHI, T. TILBROOK, B. VAN DER WERF, G. R. VIOVY, N. WANG, Y. -P. WANNINKHOF, R. WILTSHIRE, A. ZENG, N. AS 1:1;2:1;3:2;4:2;5:3;6:4;7:1;8:5;9:6;10:7;11:8;12:3;13:9,10;14:11;15:12;16:3;17:13;18:14;19:15;20:16;21:17;22:18;23:19,20;24:21,22;25:23;26:24;27:25,26;28:27;29:19,20;30:28;31:29;32:30;33:31;34:13;35:32;36:21;37:19,20;38:33;39:3;40:34;41:19,20;42:35;43:36;44:37;45:38;46:39;47:40;48:5;49:19,20;50:41;51:42;52:43;53:44,45,46;54:13,47;55:48;56:49,50;57:51;58:3;59:52;60:53;61:54;62:55; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;18:;19:;20:;21:;22:;23:;24:;25:;26:;27:;28:;29:;30:;31:;32:;33:;34:;35:;36:;37:;38:;39:;40:;41:;42:;43:;44:;45:;46:;47:;48:;49:;50:;51:;52:;53:;54:;55:;56:;57:;58:;59:;60:;61:;62:; C1 Univ E Anglia, Tyndall Ctr Climate Change Res, Norwich NR4 7TJ, Norfolk, England. Ctr Int Climate & Environm Res Oslo CICERO, Oslo, Norway. UVSQ, CNRS, Inst Pierre Simon Laplace, Lab Sci Climat & Environm,CEA,CE Orme Merisiers, F-91191 Gif Sur Yvette, France. Univ Exeter, Coll Engn Math & Phys Sci, Exeter EX4 4QF, Devon, England. 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C2 UNIV E ANGLIA, UK CICERO, NORWAY UNIV VERSAILLES, FRANCE UNIV EXETER, UK UNIV EXETER, UK NOAA, USA KARLSRUHE INST TECHNOL, GERMANY OAK RIDGE NATL LAB, USA CNRS, FRANCE UNIV PARIS 06, FRANCE CSIRO, AUSTRALIA UNIV MARYLAND, USA NOAA, USA UNIV E ANGLIA, UK INST A WEGENER, GERMANY WHOI, USA UNIV BRISTOL, UK UNIV ILLINOIS, USA UNIV BERGEN, NORWAY BCCR, NORWAY NIES, JAPAN INST APPL ENERGY IAE, JAPAN UNIV CALIF SAN DIEGO, USA PLYMOUTH MARINE LAB, UK PBL NETHERLANDS ENVIRONM ASSESSMENT AGCY, NETHERLANDS UNIV UTRECHT, NETHERLANDS UNIV CALIF BERKELEY, USA ETH ZURICH, SWITZERLAND CSIRO, AUSTRALIA WHOI, USA UNIV APPALACHIAN STATE, USA UNIV PARIS 06, FRANCE FISHERIES RES AGCY, JAPAN UNIV WAGENINGEN, NETHERLANDS UNIV MONTANA STATE, USA UNIV AUSTRALIAN NATL, AUSTRALIA UNIV LIBRE BRUXELLES, BELGIUM MAX PLANCK INST, GERMANY JAPAN METEOROL AGCY, JAPAN UNIV NEW HAMPSHIRE, USA CNRS, FRANCE MAX PLANCK INST, GERMANY GEOMAR, GERMANY UNIV BERN, SWITZERLAND UNIV BERN, SWITZERLAND UNIV LONDON IMPERIAL COLL SCI TECHNOL & MED, UK UNIV WASHINGTON, USA LDEO, USA CSIRO, AUSTRALIA ACE CRC, AUSTRALIA UNIV VRIJE AMSTERDAM, NETHERLANDS CSIRO, AUSTRALIA NOAA, USA MET OFF, UK UNIV MARYLAND, USA IN DOAJ IF 8.286 TC 403 UR https://archimer.ifremer.fr/doc/00291/40251/38629.pdf LA English DT Article CR OISO 8 OISO1 OISO2 OISO3-NIVMER98 OISO4 (VT 46) OISO5 (VT 49) VT 105 / OISO 17 VT 108 / OISO-18 VT 114 / OISO-19 VT 117 / OISO-20 VT 120 / OISO-21 VT 127 / OISO-22 VT 136 / OISO-23 VT 51 / OISO 6 VT 57 / OISO 9 VT 60 / CARAUS - OISO 10 VT 62 / CARAUS - OISO 11 VT 79 / OISO 12 VT 80 / OISO 13 VT 81 / OISO 14 VT 85 / OISO 15 VT 94 / OISO 16 BO Marion Dufresne AB Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere 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 a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates, consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil fuel combustion and cement production (E-FF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (E-LUC), mainly deforestation, are based on combined evidence from land-cover-change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (G(ATM)) is computed from the annual changes in concentration. The mean ocean CO2 sink (S-OCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in S-OCEAN is evaluated with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (S-LAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models forced by observed climate, CO2, and land-cover-change (some including nitrogen-carbon interactions). We compare the mean land and ocean fluxes and their variability to estimates from three atmospheric inverse methods for three broad latitude bands. All uncertainties are reported as +/- 1 sigma, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2004-2013), E-FF was 8.9 +/- 0.4 GtC yr(-1), E-LUC 0.9 +/- 0.5 GtC yr(-1), G(ATM) 4.3 +/- 0.1 GtC yr(-1), S-OCEAN 2.6 +/- 0.5 GtC yr(-1), and S-LAND 2.9 +/- 0.8 GtC yr(-1). For year 2013 alone, E-FF grew to 9.9 +/- 0.5 GtC yr(-1), 2.3% above 2012, continuing the growth trend in these emissions, E-LUC was 0.9 +/- 0.5 GtC yr(-1), G(ATM) was 5.4 +/- 0.2 GtC yr(-1), S-OCEAN was 2.9 +/- 0.5 GtC yr(-1), and S-LAND was 2.5 +/- 0.9 GtC yr(-1). G(ATM) was high in 2013, reflecting a steady increase in E-FF and smaller and opposite changes between S-OCEAN and S-LAND compared to the past decade (2004-2013). The global atmospheric CO2 concentration reached 395.31 +/- 0.10 ppm averaged over 2013. We estimate that E-FF will increase by 2.5% (1.3-3.5 %) to 10.1 +/- 0.6 GtC in 2014 (37.0 +/- 2.2 GtCO(2) yr(-1)), 65% above emissions in 1990, based on projections of world gross domestic product and recent changes in the carbon intensity of the global economy. From this projection of E-FF and assumed constant E-LUC for 2014, cumulative emissions of CO2 will reach about 545 +/- 55 GtC (2000 +/- 200 GtCO(2)) for 1870-2014, about 75% from E-FF and 25% from E-LUC. This paper documents changes in the methods and data sets used in this new carbon budget compared with previous publications of this living data set (Le Quere et al., 2013, 2014). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_2014). PY 2015 SO Earth System Science Data SN 1866-3508 PU Copernicus Gesellschaft Mbh VL 7 IS 1 UT 000356934300005 BP 47 EP 85 DI 10.5194/essd-7-47-2015 ID 40251 ER EF