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| Zscheischler, Jakob; Mahecha, Miguel D.; Avitabile, Valerio; Calle, Leonardo; Carvalhais, Nuno; Ciais, Philippe; Gans, Fabian; Gruber, Nicolas; Hartmann, Jens; Herold, Martin; Ichii, Kazuhito; Jung, Martin; Landschuetzer, Peter; Laruelle, Goulven G.; Lauerwald, Ronny; Papale, Dario; Peylin, Philippe; Poulter, Benjamin; Ray, Deepak; Regnier, Pierre; Roedenbeck, Christian; Roman-cuesta, Rosa M.; Schwalm, Christopher; Tramontana, Gianluca; Tyukavina, Alexandra; Valentini, Riccardo; Van Der Werf, Guido; West, Tristram O.; Wolf, Julie E.; Reichstein, Markus. |
| Understanding the global carbon (C) cycle is of crucial importance to map current and future climate dynamics relative to global environmental change. A full characterization of C cycling requires detailed information on spatiotemporal patterns of surface-atmosphere fluxes. However, relevant C cycle observations are highly variable in their coverage and reporting standards. Especially problematic is the lack of integration of the carbon dioxide (CO2) exchange of the ocean, inland freshwaters and the land surface with the atmosphere. Here we adopt a data-driven approach to synthesize a wide range of observation-based spatially explicit surface-atmosphere CO2 fluxes from 2001 to 2010, to identify the state of today's observational opportunities and data... |
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| Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00661/77322/78795.pdf |
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| Le Quere, Corinne; Andrew, Robbie M.; Canadell, Josep G.; Sitch, Stephen; Korsbakken, Jan Ivar; Peters, Glen P.; Manning, Andrew C.; Boden, Thomas A.; Tans, Pieter P.; Houghton, Richard A.; Keeling, Ralph F.; Alin, Simone; Andrews, Oliver D.; Anthoni, Peter; Barbero, Leticia; Bopp, Laurent; Chevallier, Frederic; Chini, Louise P.; Ciais, Philippe; Currie, Kim; Delire, Christine; Doney, Scott C.; Friedlingstein, Pierre; Gkritzalis, Thanos; Harris, Ian; Hauck, Judith; Haverd, Vanessa; Hoppema, Mario; Goldewijk, Kees Klein; Jain, Atul K.; Kato, Etsushi; Koertzinger, Arne; Landschuetzer, Peter; Lefevre, Nathalie; Lenton, Andrew; Lienert, Sebastian; Lombardozzi, Danica; Melton, Joe R.; Metzl, Nicolas; Millero, Frank; Monteiro, Pedro M. S.; Munro, David R.; Nabel, Julia E. M. S.; Nakaoka, Shin-ichiro; O'Brien, Kevin; Olsen, Are; Omar, Abdirahman M.; Ono, Tsuneo; Pierrot, Denis; Poulter, Benjamin; Roedenbeck, Christian; Salisbury, Joe; Schuster, Ute; Schwinger, Joerg; Seferian, Roland; Skjelvan, Ingunn; Stocker, Benjamin D.; Sutton, Adrienne J.; Takahashi, Taro; Tian, Hanqin; Tilbrook, Bronte; Van Der Laan-luijkx, Ingrid T.; Van Der Werf, Guido R.; Viovy, Nicolas; Walker, Anthony P.; Wiltshire, Andrew J.; Zaehle, Soenke. |
| 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 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 and consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil... |
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| Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00383/49401/49899.pdf |
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| Bushinsky, Seth M.; Landschuetzer, Peter; Roedenbeck, Christian; Gray, Alison R.; Baker, David; Mazloff, Matthew R.; Resplandy, Laure; Johnson, Kenneth S.; Sarmiento, Jorge L.. |
| New estimates of pCO(2) from profiling floats deployed by the Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) project have demonstrated the importance of wintertime outgassing south of the Polar Front, challenging the accepted magnitude of Southern Ocean carbon uptake (Gray et al., 2018, ). Here, we put 3.5 years of SOCCOM observations into broader context with the global surface carbon dioxide database (Surface Ocean CO2 Atlas, SOCAT) by using the two interpolation methods currently used to assess the ocean models in the Global Carbon Budget (Le Quere et al., 2018, ) to create a ship-only, a float-weighted, and a combined estimate of Southern Ocean carbon fluxes (<35 degrees S). In our ship-only estimate, we calculate a mean uptake... |
| Tipo: Text |
Palavras-chave: Southern Ocean; Biogeochemical profiling floats; SOCCOM; Global carbon cycle. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00675/78719/81007.pdf |
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| Hauck, Judith; Zeising, Moritz; Le Quere, Corinne; Gruber, Nicolas; Bakker, Dorothee C. E.; Bopp, Laurent; Chau, Thi Tuyet Trang; Guerses, Oezguer; Ilyina, Tatiana; Landschuetzer, Peter; Lenton, Andrew; Resplandy, Laure; Roedenbeck, Christian; Schwinger, Joerg; Seferian, Roland. |
| Based on the 2019 assessment of the Global Carbon Project, the ocean took up on average, 2.5 +/- 0.6 PgC yr(-1) or 23 +/- 5% of the total anthropogenic CO2 emissions over the decade 2009-2018. This sink estimate is based on simulation results from global ocean biogeochemicalmodels (GOBMs) and is compared to data-products based on observations of surface ocean pCO(2) (partial pressure of CO2) accounting for the outgassing of river-derived CO2. Here we evaluate the GOBM simulations by comparing the simulated surface ocean pCO(2) to observations. Based on this comparison, the simulations are well-suited for quantifying the global ocean carbon sink on the time-scale of the annual mean and its multi-decadal trend (RMSE <20 mu atm), as well as on the... |
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Palavras-chave: Ocean carbon uptake; Anthropogenic CO2; Ocean carbon cycle model evaluation; Riverine carbon flux; Variability of the ocean carbon sink; Seasonal cycle. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00676/78822/81139.pdf |
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| Le Quere, Corinne; Takahashi, Taro; Buitenhuis, Erik T.; Roedenbeck, Christian; Sutherland, Stewart C.. |
| About one quarter of the CO2 emitted to the atmosphere by human activities is absorbed annually by the ocean. All the processes that influence the oceanic uptake of CO2 are controlled by climate. Hence changes in climate (both natural and human-induced) are expected to alter the uptake of CO2 by the ocean. However, available information that constrains the direction, magnitude, or rapidity of the response of ocean CO2 to changes in climate is limited. We present an analysis of oceanic CO2 trends for 1981 to 2007 from data and a model. Our analysis suggests that the global ocean responded to recent changes in climate by outgassing some preindustrial carbon, in part compensating the oceanic uptake of anthropogenic CO2. Using a model, we estimate that climate... |
| Tipo: Text |
Palavras-chave: Ocean; Carbon; CO2 sink. |
| Ano: 2010 |
URL: https://archimer.ifremer.fr/doc/00253/36412/34957.pdf |
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| Jones, Steve D.; Le Quere, Corinne; Roedenbeck, Christian; Manning, Andrew C.; Olsen, Are. |
| We have developed a statistical gap-filling method adapted to the specific coverage and properties of observed fugacity of surface ocean CO2 (fCO2). We have used this method to interpolate the Surface Ocean CO2 Atlas (SOCAT) v2 database on a 2.5°×2.5° global grid (south of 70°N) for 1985–2011 at monthly resolution. The method combines a spatial interpolation based on a “radius of influence” to determine nearby similar fCO2 values with temporal harmonic and cubic spline curve-fitting, and also fits long-term trends and seasonal cycles. Interannual variability is established using deviations of observations from the fitted trends and seasonal cycles. An uncertainty is computed for all interpolated values based on the spatial and temporal range of the... |
| Tipo: Text |
Palavras-chave: Ocean; CO2; Interpolation. |
| Ano: 2015 |
URL: https://archimer.ifremer.fr/doc/00293/40403/38961.pdf |
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| Le Quere, Corinne; Andrew, Robbie M.; Friedlingstein, Pierre; Sitch, Stephen; Pongratz, Julia; Manning, Andrew C.; Korsbakken, Jan Ivar; Peters, Glen P.; Canadell, Josep G.; Jackson, Robert B.; Boden, Thomas A.; Tans, Pieter P.; Andrews, Oliver D.; Arora, Vivek K.; Bakker, Dorothee C. E.; Barbero, Leticia; Becker, Meike; Betts, Richard A.; Bopp, Laurent; Chevallier, Frederic; Chini, Louise P.; Ciais, Philippe; Cosca, Catherine E.; Cross, Jessica; Currie, Kim; Gasser, Thomas; Harris, Ian; Hauck, Judith; Haverd, Vanessa; Houghton, Richard A.; Hunt, Christopher W.; Hurtt, George; Ilyina, Tatiana; Jain, Atul K.; Kato, Etsushi; Kautz, Markus; Keeling, Ralph F.; Goldewijk, Kees Klein; Koertzinger, Arne; Landschuetzer, Peter; Lefevre, Nathalie; Lenton, Andrew; Lienert, Sebastian; Lima, Ivan; Lombardozzi, Danica; Metzl, Nicolas; Millero, Frank; Monteiro, Pedro M. S.; Munro, David R.; Nabel, Julia E. M. S.; Nakaoka, Shin-ichiro; Nojiri, Yukihiro; Padin, X. Antonio; Peregon, Anna; Pfeil, Benjamin; Pierrot, Denis; Poulter, Benjamin; Rehder, Gregor; Reimer, Janet; Roedenbeck, Christian; Schwinger, Jorg; Seferian, Roland; Skjelvan, Ingunn; Stocker, Benjamin D.; Tian, Hanqin; Tilbrook, Bronte; Tubiello, Francesco N.; Van Der Laan-luijkx, Ingrid T.; Van Der Werf, Guido R.; Van Heuven, Steven; Viovy, Nicolas; Vuichard, Nicolas; Walker, Anthony P.; Watson, Andrew J.; Wiltshire, Andrew J.; Zaehle, Soenke; Zhu, Dan. |
| 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... |
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| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00433/54428/55948.pdf |
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| Le Quere, Corinne; Andrew, Robbie M.; Friedlingstein, Pierre; Sitch, Stephen; Hauck, Judith; Pongratz, Julia; Pickers, Penelope A.; Korsbakken, Jan Ivar; Peters, Glen P.; Canadell, Josep G.; Arneth, Almut; Arora, Vivek K.; Barbero, Leticia; Bastos, Ana; Bopp, Laurent; Chevallier, Frederic; Chini, Louise P.; Ciais, Philippe; Doney, Scott C.; Gkritzalis, Thanos; Goll, Daniel S.; Harris, Ian; Haverd, Vanessa; Hoffman, Forrest M.; Hoppema, Mario; Houghton, Richard A.; Hurtt, George; Ilyina, Tatiana; Jain, Atul K.; Johannessen, Truls; Jones, Chris D.; Kato, Etsushi; Keeling, Ralph F.; Goldewijk, Kees Klein; Landschuetzer, Peter; Lefevre, Nathalie; Lienert, Sebastian; Liu, Zhu; Lombardozzi, Danica; Metzl, Nicolas; Munro, David R.; Nabel, Julia E. M. S.; Nakaoka, Shin-ichiro; Neill, Craig; Olsen, Are; Ono, Tsueno; Patra, Prabir; Peregon, Anna; Peters, Wouter; Peylin, Philippe; Pfeil, Benjamin; Pierrot, Denis; Poulter, Benjamin; Rehder, Gregor; Resplandy, Laure; Robertson, Eddy; Rocher, Matthias; Roedenbeck, Christian; Schuster, Ute; Schwinger, Jorg; Seferian, Roland; Skjelvan, Ingunn; Steinhoff, Tobias; Sutton, Adrienne; Tans, Pieter P.; Tian, Hanqin; Tilbrook, Bronte; Tubiello, Francesco N.; Van Der Laan-luijkx, Ingrid T.; Van Der Werf, Guido R.; Viovy, Nicolas; Walker, Anthony P.; Wiltshire, Andrew J.; Wright, Rebecca; Zaehle, Soenke; Zheng, Bo. |
| 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. Fossil CO2 emissions (E-FF) are based on energy statistics and cement production data, while emissions from land use and land-use change (E-LUC), 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... |
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| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00675/78676/80892.pdf |
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