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Anthropogenic perturbation of the carbon fluxes from land to ocean 5
Regnier, Pierre; Friedlingstein, Pierre; Ciais, Philippe; Mackenzie, Fred T.; Gruber, Nicolas; Janssens, Ivan A.; Laruelle, Goulven G.; Lauerwald, Ronny; Luyssaert, Sebastiaan; Andersson, Andreas J.; Arndt, Sandra; Arnosti, Carol; Borges, Alberto V.; Dale, Andrew W.; Gallego-sala, Angela; Godderis, Yves; Goossens, Nicolas; Hartmann, Jens; Heinze, Christoph; Ilyina, Tatiana; Joos, Fortunat; Larowe, Douglas E.; Leifeld, Jens; Meysman, Filip J. R.; Munhoven, Guy; Raymond, Peter A.; Spahni, Renato; Suntharalingam, Parvadha; Thullner, Martin.
A substantial amount of the atmospheric carbon taken up on land through photosynthesis and chemical weathering is transported laterally along the aquatic continuum from upland terrestrial ecosystems to the ocean. So far, global carbon budget estimates have implicitly assumed that the transformation and lateral transport of carbon along this aquatic continuum has remained unchanged since pre-industrial times. A synthesis of published work reveals the magnitude of present-day lateral carbon fluxes from land to ocean, and the extent to which human activities have altered these fluxes. We show that anthropogenic perturbation may have increased the flux of carbon to inland waters by as much as 1.0 Pg C yr(-1) since pre-industrial times, mainly owing to enhanced...
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Ano: 2013 URL: https://archimer.ifremer.fr/doc/00264/37508/36764.pdf
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Consistency and Challenges in the Ocean Carbon Sink Estimate for the Global Carbon Budget 5
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...
Tipo: Text 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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Decadal trends in the ocean carbon sink 5
Devries, Tim; Le Quere, Corinne; Andrews, Oliver; Berthet, Sarah; Hauck, Judith; Ilyina, Tatiana; Landschuetzer, Peter; Lenton, Andrew; Lima, Ivan D.; Nowicki, Michael; Schwinger, Jorg; Seferian, Roland.
Measurements show large decadal variability in the rate of CO2 accumulation in the atmosphere that is not driven by CO2 emissions. The decade of the 1990s experienced enhanced carbon accumulation in the atmosphere relative to emissions, while in the 2000s, the atmospheric growth rate slowed, even though emissions grew rapidly. These variations are driven by natural sources and sinks of CO2 due to the ocean and the terrestrial biosphere. In this study, we compare three independent methods for estimating oceanic CO2 uptake and find that the ocean carbon sink could be responsible for up to 40% of the observed decadal variability in atmospheric CO2 accumulation. Data-based estimates of the ocean carbon sink from pCO(2) mapping methods and decadal ocean inverse...
Tipo: Text Palavras-chave: Carbon dioxide; Ocean carbon sink; Terrestrial carbon sink; Climate variability; Carbon budget.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00675/78728/80983.pdf
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Detecting Regional Modes of Variability in Observation-Based Surface Ocean pCO(2) 5
Landschuetzer, Peter; Ilyina, Tatiana; Lovenduski, Nicole S..
We use a neural network-based estimate of the sea surface partial pressure of CO2 (pCO(2)) derived from measurements assembled within the Surface Ocean CO2 Atlas to investigate the dominant modes of pCO(2) variability from 1982 through 2015. Our analysis shows that detrended and deseasonalized sea surface pCO(2) varies substantially by region and the respective frequencies match those from the major modes of climate variability (Atlantic Multidecadal Oscillation, Pacific Decadal Oscillation, multivariate ENSO index, Southern Annular Mode), suggesting a climate modulated air-sea exchange of CO2. We find that most of the regional pCO(2) variability is driven by changes in the ocean circulation and/or changes in biology, whereas the North Atlantic variability...
Tipo: Text Palavras-chave: Ocean; CO2; Variability; Carbon; Climate; Observations.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00675/78733/80972.pdf
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Global Carbon Budget 2017 5
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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Global Carbon Budget 2018 5
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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Global Carbon Budget 2019 5
Friedlingstein, Pierre; Jones, Matthew W.; O'Sullivan, Michael; Andrew, Robbie M.; Hauck, Judith; Peters, Glen P.; Peters, Wouter; Pongratz, Julia; Sitch, Stephen; Le Quere, Corinne; Bakker, Dorothee C. E.; Canadell, Josep G.; Ciais, Philippe; Jackson, Robert B.; Anthoni, Peter; Barbero, Leticia; Bastos, Ana; Bastrikov, Vladislav; Becker, Meike; Bopp, Laurent; Buitenhuis, Erik; Chandra, Naveen; Chevallier, Frederic; Chini, Louise P.; Currie, Kim I.; Feely, Richard A.; Gehlen, Marion; Gilfillan, Dennis; Gkritzalis, Thanos; Goll, Daniel S.; Gruber, Nicolas; Gutekunst, Soeren; Harris, Ian; Haverd, Vanessa; Houghton, Richard A.; Hurtt, George; Ilyina, Tatiana; Jain, Atul K.; Joetzjer, Emilie; Kaplan, Jed O.; Kato, Etsushi; Goldewijk, Kees Klein; Korsbakken, Jan Ivar; Landschuetzer, Peter; Lauvset, Siv K.; Lefevre, Nathalie; Lenton, Andrew; Lienert, Sebastian; Lombardozzi, Danica; Marland, Gregg; Mcguire, Patrick C.; Melton, Joe R.; Metzl, Nicolas; Munro, David R.; Nabel, Julia E. M. S.; Nakaoka, Shin-ichiro; Neill, Craig; Omar, Abdirahman M.; Ono, Tsuneo; Peregon, Anna; Pierrot, Denis; Poulter, Benjamin; Rehder, Gregor; Resplandy, Laure; Robertson, Eddy; Rodenbeck, Christian; Seferian, Roland; Schwinger, Joerg; Smith, Naomi; Tans, Pieter P.; Tian, Hanqin; Tilbrook, Bronte; Tubiello, Francesco N.; Van Der Werf, Guido R.; Wiltshire, Andrew J.; Zaehle, Sonke.
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 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 (G(ATM)) is...
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Ano: 2019 URL: https://archimer.ifremer.fr/doc/00676/78799/81025.pdf
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Global Carbon Budget 2020 5
Friedlingstein, Pierre; O'Sullivan, Michael; Jones, Matthew W.; Andrew, Robbie M.; Hauck, Judith; Olsen, Are; Peters, Glen P.; Peters, Wouter; Pongratz, Julia; Sitch, Stephen; Le Quere, Corinne; Canadell, Josep G.; Ciais, Philippe; Jackson, Robert B.; Alin, Simone; Aragao, Luiz E. O. C.; Arneth, Almut; Arora, Vivek; Bates, Nicholas R.; Becker, Meike; Benoit-cattin, Alice; Bittig, Henry C.; Bopp, Laurent; Bultan, Selma; Chandra, Naveen; Chevallier, Frederic; Chini, Louise P.; Evans, Wiley; Florentie, Liesbeth; Forster, Piers M.; Gasser, Thomas; Gehlen, Marion; Gilfillan, Dennis; Gkritzalis, Thanos; Gregor, Luke; Gruber, Nicolas; Harris, Ian; Hartung, Kerstin; Haverd, Vanessa; Houghton, Richard A.; Ilyina, Tatiana; Jain, Atul K.; Joetzjer, Emilie; Kadono, Koji; Kato, Etsushi; Kitidis, Vassilis; Korsbakken, Jan Ivar; Landschutzer, Peter; Lefevre, Nathalie; Lenton, Andrew; Lienert, Sebastian; Liu, Zhu; Lombardozzi, Danica; Marland, Gregg; Metzl, Nicolas; Munro, David R.; Nabel, Julia E. M. S.; Nakaoka, Shin-ichiro; Niwa, Yosuke; O'Brien, Kevin; Ono, Tsuneo; Palmer, Paul I.; Pierrot, Denis; Poulter, Benjamin; Resplandy, Laure; Robertson, Eddy; Rodenbeck, Christian; Schwinger, Jorg; Seferian, Roland; Skjelvan, Ingunn; Smith, Adam J. P.; Sutton, Adrienne J.; Tanhua, Toste; Tans, Pieter P.; Tian, Hanqin; Tilbrook, Bronte; Van Der Werf, Guido; Vuichard, Nicolas; Walker, Anthony P.; Wanninkhof, Rik; Watson, Andrew J.; Willis, David; Wiltshire, Andrew J.; Yuan, Wenping; Yue, Xu; Zaehle, Sonke.
Accurate 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...
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Ano: 2020 URL: https://archimer.ifremer.fr/doc/00677/78860/81159.pdf
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Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models 5
Lee, Younjoo J.; Matrai, Patricia A.; Friedrichs, Marjorie A. M.; Saba, Vincent S.; Aumont, Olivier; Babin, Marcel; Buitenhuis, Erik T.; Chevallier, Matthieu; De Mora, Lee; Dessert, Morgane; Dunne, John P.; Ellingsen, Ingrid H.; Feldman, Doron; Frouin, Robert; Gehlen, Marion; Gorgues, Thomas; Ilyina, Tatiana; Jin, Meibing; John, Jasmin G.; Lawrence, Jon; Manizza, Manfredi; Menkes, Christophe E.; Perruche, Coralie; Le Fouest, Vincent; Popova, Ekaterina E.; Romanou, Anastasia; Samuelsen, Annette; Schwinger, Jorg; Seferian, Roland; Stock, Charles A.; Tjiputra, Jerry; Tremblay, Bruno; Ueyoshi, Kyozo; Vichi, Marcello; Yool, Andrew; Zhang, Jinlun.
The relative skill of 21 regional and global biogeochemical models was assessed in terms of how well the models reproduced observed net primary productivity (NPP) and environmental variables such as nitrate concentration (NO3), mixed layer depth (MLD), euphotic layer depth (Z(eu)), and sea ice concentration, by comparing results against a newly updated, quality-controlled in situ NPP database for the Arctic Ocean (1959-2011). The models broadly captured the spatial features of integrated NPP (iNPP) on a pan-Arctic scale. Most models underestimated iNPP by varying degrees in spite of overestimating surface NO3, MLD, and Z(eu) throughout the regions. Among the models, iNPP exhibited little difference over sea ice condition (ice-free versus ice-influenced)...
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Ano: 2016 URL: https://archimer.ifremer.fr/doc/00373/48441/69564.pdf
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OMIP contribution to CMIP6: experimental and diagnostic protocol for the physical component of the Ocean Model Intercomparison Project 5
Griffies, Stephen M.; Danabasoglu, Gokhan; Durack, Paul J.; Adcroft, Alistair J.; Balaji, V.; Boning, Claus W.; Chassignet, Eric P.; Curchitser, Enrique; Deshayes, Julie; Drange, Helge; Fox-kemper, Baylor; Gleckler, Peter J.; Gregory, Jonathan M.; Haak, Helmuth; Hallberg, Robert W.; Heimbach, Patrick; Hewitt, Helene T.; Holland, David M.; Ilyina, Tatiana; Jungclaus, Johann H.; Komuro, Yoshiki; Krasting, John P.; Large, William G.; Marsland, Simon J.; Masina, Simona; Mcdougall, Trevor J.; Nurser, A. J. George; Orr, James C.; Pirani, Anna; Qiao, Fangli; Stouffer, Ronald J.; Taylor, Karl E.; Treguier, Anne-marie; Tsujino, Hiroyuki; Uotila, Petteri; Valdivieso, Maria; Wang, Qiang; Winton, Michael; Yeager, Stephen G..
The Ocean Model Intercomparison Project (OMIP) is an endorsed project in the Coupled Model Intercomparison Project Phase 6 (CMIP6). OMIP addresses CMIP6 science questions, investigating the origins and consequences of systematic model biases. It does so by providing a framework for evaluating (including assessment of systematic biases), understanding, and improving ocean, sea-ice, tracer, and biogeochemical components of climate and earth system models contributing to CMIP6. Among the WCRP Grand Challenges in climate science (GCs), OMIP primarily contributes to the regional sea level change and near-term (climate/decadal) prediction GCs. OMIP provides (a) an experimental protocol for global ocean/sea-ice models run with a prescribed atmospheric forcing;...
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Ano: 2016 URL: http://archimer.ifremer.fr/doc/00352/46300/45938.pdf
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Tracking Improvement in Simulated Marine Biogeochemistry Between CMIP5 and CMIP6 5
Seferian, Roland; Berthet, Sarah; Yool, Andrew; Palmieri, Julien; Bopp, Laurent; Tagliabue, Alessandro; Kwiatkowski, Lester; Aumont, Olivier; Christian, James; Dunne, John; Gehlen, Marion; Ilyina, Tatiana; John, Jasmin G.; Li, Hongmei; Long, Matthew C; Luo, Jessica Y.; Nakano, Hideyuki; Romanou, Anastasia; Schwinger, Jorg; Stock, Charles; Santana-falcon, Yeray; Takano, Yohei; Tjiputra, Jerry; Tsujino, Hiroyuki; Watanabe, Michio; Wu, Tongwen; Wu, Fanghua; Yamamoto, Akitomo.
Purpose of Review The changes or updates in ocean biogeochemistry component have been mapped between CMIP5 and CMIP6 model versions, and an assessment made of how far these have led to improvements in the simulated mean state of marine biogeochemical models within the current generation of Earth system models (ESMs). Recent Findings The representation of marine biogeochemistry has progressed within the current generation of Earth system models. However, it remains difficult to identify which model updates are responsible for a given improvement. In addition, the full potential of marine biogeochemistry in terms of Earth system interactions and climate feedback remains poorly examined in the current generation of Earth system models. Increasing availability...
Tipo: Text Palavras-chave: Marine Biogeochemistry; CMIP5; CMIP6; Biogeochemistry-Climate Feedbacks; Model Performance.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00676/78827/81133.pdf
Registros recuperados: 11
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