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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/43THJT8
Repositóriosid.inpe.br/mtc-m21c/2021/01.07.11.25   (acesso restrito)
Última Atualização2021:01.07.11.27.25 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2021/01.07.11.25.23
Última Atualização dos Metadados2021:01.07.12.38.18 (UTC) administrator
DOI10.5194/essd-12-3269-2020
ISSN1866-3508
1866-3516
Rótulo20210107
Chave de CitaçãoFriedlingsteinOJAHOPPPSLCCJAAAABBBBBBCCCEFFGGGGGGHHHHIJJKKKKLLLLLLMMMNNNOOPPPRRRSSSSSTTTTVVWWWWWYYZ:2020:GlCaBu
TítuloGlobal Carbon Budget 2020
Ano2020
MêsDec.
Data de Acesso06 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho8195 KiB
2. Contextualização
Autor 1 Friedlingstein, Pierre
 2 O'Sullivan, Michael
 3 Jones, Matthew W.
 4 Andrew, Robbie M.
 5 Hauck, Judith
 6 Olsen, Are
 7 Peters, Glen P.
 8 Peters, Wouter
 9 Pongratz, Julia
10 Sitch, Stephen
11 Le Quere, Corinne
12 Canadell, Josep G.
13 Ciais, Philippe
14 Jackson, Robert B.
15 Alin, Simone
16 Aragão, Luiz Eduardo Oliveira e Cruz de
17 Arneth, Almut
18 Arora, Vivek
19 Bates, Nicholas R.
20 Becker, Meike
21 Benoit-Cattin, Alice
22 Bittig, Henry C.
23 Bopp, Laurent
24 Bultan, Selma
25 Chandra, Naveen
26 Chevallier, Frederic
27 Chini, Louise P.
28 Evans, Wiley
29 Florentie, Liesbeth
30 Forster, Piers M.
31 Gasser, Thomas
32 Gehlen, Marion
33 Gilfillan, Dennis
34 Gkritzalis, Thanos
35 Gregor, Luke
36 Gruber, Nicolas
37 Harris, Ian
38 Hartung, Kerstin
39 Haverd, Vanessa
40 Houghton, Richard A.
41 Ilyina, Tatiana
42 Jain, Atul K.
43 Joetzjer, Emilie
44 Kadono, Koji
45 Kato, Etsushi
46 Kitidis, Vassilis
47 Korsbakken, Jan Ivar
48 Landschutzer, Peter
49 Lefevre, Nathalie
50 Lenton, Andrew
51 Lienert, Sebastian
52 Liu, Zhu
53 Lombardozzi, Danica
54 Marland, Gregg
55 Metzl, Nicolas
56 Munro, David R.
57 Nabel, Julia E. M. S.
58 Nakaoka, Shin-Ichiro
59 Niwa, Yosuke
60 O'Brien, Kevin
61 Ono, Tsuneo
62 Palmer, Paul I.
63 Pierrot, Denis
64 Poulter, Benjamin
65 Resplandy, Laure
66 Robertson, Eddy
67 Rodenbeck, Christian
68 Schwinger, Jorg
69 Seferian, Roland
70 Skjelvan, Ingunn
71 Smith, Adam J. P.
72 Sutton, Adrienne J.
73 Tanhua, Toste
74 Tans, Pieter P.
75 Tian, Hanqin
76 Tilbrook, Bronte
77 Van der Werf, Guido
78 Vuichard, Nicolas
79 Walker, Anthony P.
80 Wanninkhof, Rik
81 Watson, Andrew J.
82 Willis, David
83 Wiltshire, Andrew J.
84 Yuan, Wenping
85 Yue, Xu
86 Zaehle, Sonke
Grupo 1
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16 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação 1
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14 Stanford Univ, Woods Inst Environm, Dept Earth Syst Sci, Stanford, CA 94305 USA.; Stanford Univ, Precourt Inst Energy, Stanford, CA 94305 USA.
15 NOAA, Pacific Marine Environm Lab, 7600 Sand Point Way NE, Seattle, WA 98115 USA.
16 Instituto Nacional de Pesquisas Espaciais (INPE)
17 Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Atmospher Environm Res, D-82467 Garmisch Partenkirchen, Germany.
18 Environm & Climate Change Canada, Canadian Ctr Climate Modelling & Anal, Div Climate Res, Victoria, BC, Canada.
19 Bermuda Inst Ocean Sci BIOS, 17 Biol Lane, St Georges GE01, Bermuda.; Univ Southampton, Dept Ocean & Earth Sci, European Way, Southampton SO14 3ZH, Hants, England.
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21 Marine & Freshwater Res Inst, Fornubudir 5, IS-220 Hafnarfjordur, Iceland.
22 Leibniz Inst Balt Sea Res Warnemuende IOW, Seestr 15, D-18119 Rostock, Germany.
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35 Swiss Fed Inst Technol, Environm Phys Grp, Inst Biogeochem & Pollutant Dynam, Zurich, Switzerland.; Ctr Climate Syst Modeling C2SM, Zurich, Switzerland.
36 Swiss Fed Inst Technol, Environm Phys Grp, Inst Biogeochem & Pollutant Dynam, Zurich, Switzerland.; Ctr Climate Syst Modeling C2SM, Zurich, Switzerland.
37 Univ East Anglia, Sch Environm Sci, Climat Res Unit, NCAS Climate, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England.
38 Deutsch Zentrum Luft & Raumfahrt, Inst Phys Atmosphare, Oberpfaffenhofen, Germany.
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40 Woods Hole Res Ctr, Falmouth, MA 02540 USA.
41
42
43 Univ Illinois, Dept Atmospher Sci, Urbana, IL 61821 USA.
44 Japan Meteorol Agcy, Chiyoda Ku, 1-3-4 Otemachi, Tokyo 1008122, Japan.
45 Inst Appl Energy, Minato Ku, Tokyo 1050003, Japan.
46 Plymouth Marine Lab, Plymouth PL13DH, Devon, England.
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49 Sorbonne Univ, CNRS, IRD, MNHN,LOCEAN,IPSL Lab, Paris, France.
50 CSIRO Oceans & Atmosphere, Hobart, Tas, Australia.
51 Univ Bern, Inst Phys, Climate & Environm Phys, Bern, Switzerland.; Univ Bern, Oeschger Ctr Climate Change Res, Bern, Switzerland.
52 Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China.
53 Natl Ctr Atmospher Res, Terr Sci Sect, Climate & Global Dynam, Boulder, CO 80305 USA.
54 Appalachian State Univ, Dept Geol & Environm Sci, Boone, NC 28608 USA.
55 Sorbonne Univ, CNRS, IRD, MNHN,LOCEAN,IPSL Lab, Paris, France.
56 Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80305 USA.; NOAA, GML, Boulder, CO 80305 USA.
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59 Meteorol Res Inst, 1-1 Nagamine, Tsukuba, Ibaraki 3050052, Japan.
60 NOAA, Pacific Marine Environm Lab, 7600 Sand Point Way NE, Seattle, WA 98115 USA.; Univ Washington, Cooperat Inst Climate Ocean & Ecosyst Studies, Seattle, WA 98105 USA.
61 Japan Fisheries Res & Educ Agcy, Kanazawa Ku, 2-12-4 Fukuura, Yokohama, Kanagawa 2368648, Japan.
62 Univ Edinburgh, Natl Ctr Earth Observat, Edinburgh EH9 3FF, Midlothian, Scotland.; Univ Edinburgh, School GeoSci, Edinburgh EH9 3FF, Midlothian, Scotland.
63 Natl Ocean & Atmospher Adm, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA.
64 NASA, Goddard Space Flight Ctr, Biospher Sci Lab, Greenbelt, MD 20771 USA.
65 Princeton Univ, Dept Geosci, Princeton, NJ 08544 USA.; Princeton Univ, Princeton Environm Inst, Princeton, NJ 08544 USA.
66 Met Off Hadley Ctr, FitzRoy Rd, Exeter EX1 3PB, Devon, England.
67 Max Planck Inst Biogeochem, POB 600164,Hans Knoll Str 10, D-07745 Jena, Germany.
68 NORCE Norwegian Res Ctr, Jahnebakken 5, N-5007 Bergen, Norway.
69 Univ Illinois, Dept Atmospher Sci, Urbana, IL 61821 USA.
70 NORCE Norwegian Res Ctr, Jahnebakken 5, N-5007 Bergen, Norway.
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72 NOAA, Pacific Marine Environm Lab, 7600 Sand Point Way NE, Seattle, WA 98115 USA.
73 GEOMAR Helmholtz Ctr Ocean Res Kiel, Dusternbrooker Weg 20, D-24105 Kiel, Germany.
74 NOAA, Earth Syst Res Lab, Boulder, CO 80305 USA.
75 Auburn Univ, Sch Forestry & Wildlife Sci, Auburn, AL 36849 USA.
76 CSIRO Oceans & Atmosphere, Hobart, Tas, Australia.; Univ Tasmania, Australian Antarct Partnership Program, Hobart, Tas, Australia.
77 Vrije Univ, Fac Sci, Amsterdam, Netherlands.
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79 Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN 37831 USA.; Oak Ridge Natl Lab, Div Environm Sci, Oak Ridge, TN 37831 USA.
80 Natl Ocean & Atmospher Adm, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA.
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82 Univ East Anglia, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England.
83 Met Off Hadley Ctr, FitzRoy Rd, Exeter EX1 3PB, Devon, England.
84 Sun Yat Sen Univ, Zhuhai Key Lab Dynam Urban Climate & Ecol, Guangdong Prov Key Lab Climate Change & Nat Disas, Sch Atmospher Sci, Zhuhai 510245, Guangdong, Peoples R China.
85 Nanjing Univ Informat Sci & Technol, Sch Environm Sci & Engn, Collaborat Innovat Ctr Atmospher Environm & Equip, Jiangsu Key Lab Atmospher Environm Monitoring & P, Nanjing 210044, Peoples R China.
86 Max Planck Inst Biogeochem, POB 600164,Hans Knoll Str 10, D-07745 Jena, Germany.
RevistaEarth System Science Data
Volume12
Número4
Páginas3269-3340
Histórico (UTC)2021-01-07 11:25:23 :: administrator -> simone ::
2021-01-07 11:27:58 :: simone -> administrator :: 2020
2021-01-07 12:38:18 :: administrator -> simone :: 2020
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoAccurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere in a changing climate - 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 and synthesize data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions ( EFOS) are based on energy statistics and cement production data, while emissions from 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 (G(ATM)) is computed from the annual changes in concentration. The ocean CO2 sink ( SOCEAN) and terrestrial CO2 sink ( S-LAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance ( B-IM), 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 +/- 1 sigma. For the last decade available (2010-2019), E-FOS was 9.6 +/- 0.5 GtC yr(-1) excluding the cement carbonation sink (9.4 +/- 0.5 GtC yr(-1) when the cement carbonation sink is included), and ELUC was 1.6 +/- 0.7 GtC yr(-1). For the same decade, GATM was 5.1 +/- 0.02 GtC yr(-1) (2.4 +/- 0.01 ppm yr(-1)), SOCEAN 2.5 +/- 0.6 GtC yr(-1) and SLAND 3.4 +/- 0.9 GtC yr(-1), with a budget imbalance BIM of 0.1 GtC yr(-1) indicating a near balance between estimated sources and sinks over the last decade. For the year 2019 alone, the growth in EFOS was only about 0.1\% with fossil emissions increasing to 9.9 +/- 0.5 GtC yr(-1) excluding the cement carbonation sink (9.7 +/- 0.5 GtC yr(-1) when cement carbonation sink is included), and ELUC was 1.8 +/- 0.7 GtC yr(-1), for total anthropogenic CO2 emissions of 11.5 +/- 0.9 GtC yr 1 (42.2 +/- 3.3 GtCO(2)). Also for 2019, GATM was 5.4 +/- 0.2 GtC yr 1 (2.5 +/- 0.1 ppm yr 1), SOCEAN was 2.6 +/- 0.6 GtC yr 1, and SLAND was 3.1 +/- 1.2 GtC yr(-1), with a BIM of 0.3 GtC. The global atmospheric CO2 concentration reached 409.85 +/- 0.1 ppm averaged over 2019. Preliminary data for 2020, accounting for the COVID-19-induced changes in emissions, suggest a decrease in EFOS relative to 2019 of about 7\% (median estimate) based on individual estimates from four studies of 6 \%, 7 \%, 7\% ( 3\% to 11 \%), and 13 \%. Overall, the mean and trend in the components of the global carbon budget are consistently estimated over the period 1959-2019, but discrepancies of up to 1 GtC yr 1 persist for the representation of semi-decadal variability in CO2 fluxes. Comparison of estimates from diverse approaches and observations shows (1) no consensus in the mean and trend in land-use change emissions over the last decade, (2) a persistent low agreement between the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent discrepancy between the different methods for the ocean sink outside the tropics, particularly in the Southern Ocean. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding of the global carbon cycle compared with previous publications of this data set (Friedlingstein et al., 2019; Le Quere et al., 2018b, a, 2016, 2015b, a, 2014, 2013). The data presented in this work are available at https://doi.org/10.18160/gcp-2020 (Friedlingstein et al., 2020).
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4. Condições de acesso e uso
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Arquivo Alvoglobal carbon.pdf
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.13.21.11 3
DivulgaçãoPORTALCAPES
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
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7. Controle da descrição
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