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| Registros recuperados: 10 | |
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| Bakker, Dorothee C. E.; Pfeil, Benjamin; Landa, Camilla S.; Metzl, Nicolas; O'Brien, Kevin M.; Olsen, Are; Smith, Karl; Cosca, Cathy; Harasawa, Sumiko; Jones, Stephen D.; Nakaoka, Shin-ichiro; Nojiri, Yukihiro; Schuster, Ute; Steinhoff, Tobias; Sweeney, Colm; Takahashi, Taro; Tilbrook, Bronte; Wada, Chisato; Wanninkhof, Rik; Alin, Simone R.; Balestrini, Carlos F.; Barbero, Leticia; Bates, Nicholas R.; Bianchi, Alejandro A.; Bonou, Frederic; Boutin, Jacqueline; Bozec, Yann; Burger, Eugene F.; Cai, Wei-jun; Castle, Robert D.; Chen, Liqi; Chierici, Melissa; Currie, Kim; Evans, Wiley; Featherstone, Charles; Feely, Richard A.; Fransson, Agneta; Goyet, Catherine; Greenwood, Naomi; Gregor, Luke; Hankin, Steven; Hardman-mountford, Nick J.; Harlay, Jerome; Hauck, Judith; Hoppema, Mario; Humphreys, Matthew P.; Hunt, Christopherw.; Huss, Betty; Ibanhez, J. Severino P.; Johannessen, Truls; Keeling, Ralph; Kitidis, Vassilis; Koertzinger, Arne; Kozyr, Alex; Krasakopoulou, Evangelia; Kuwata, Akira; Landschuetzer, Peter; Lauvset, Siv K.; Lefevre, Nathalie; Lo Monaco, Claire; Manke, Ansley; Mathis, Jeremy T.; Merlivat, Liliane; Millero, Frank J.; Monteiro, Pedro M. S.; Munro, David R.; Murata, Akihiko; Newberger, Timothy; Omar, Abdirahman M.; Ono, Tsuneo; Paterson, Kristina; Pearce, David; Pierrot, Denis; Robbins, Lisa L.; Saito, Shu; Salisbury, Joe; Schlitzer, Reiner; Schneider, Bernd; Schweitzer, Roland; Sieger, Rainer; Skjelvan, Ingunn; Sullivan, Kevin F.; Sutherland, Stewart C.; Sutton, Adrienne J.; Tadokoro, Kazuaki; Telszewski, Maciej; Tuma, Matthias; Van Heuven, Steven M. A. C. .; Vandemark, Doug; Ward, Brian; Watson, Andrew J.; Xu, Suqing. |
| The Surface Ocean CO2 Atlas (SOCAT) is a synthesis of quality-controlled fCO(2) (fugacity of carbon dioxide) values for the global surface oceans and coastal seas with regular updates. Version 3 of SOCAT has 14.7 million fCO(2) values from 3646 data sets covering the years 1957 to 2014. This latest version has an additional 4.6 million fCO(2) values relative to version 2 and extends the record from 2011 to 2014. Version 3 also significantly increases the data availability for 2005 to 2013. SOCAT has an average of approximately 1.2 million surface water fCO(2) values per year for the years 2006 to 2012. Quality and documentation of the data has improved. A new feature is the data set quality control (QC) flag of E for data from alternative sensors and... |
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| Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00383/49405/49890.pdf |
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| Wanninkhof, Rik; Pickers, Penelope A.; Omar, Abdirahman M.; Sutton, Adrienne; Murata, Akihiko; Olsen, Are; Stephens, Britton B.; Tilbrook, Bronte; Munro, David; Pierrot, Denis; Rehder, Gregor; Magdalena Santana-casiano, J.; Mueller, Jens D.; Trinanes, Joaquin; Tedesco, Kathy; O'Brien, Kevin; Currie, Kim; Barberols, Leticia; Telszewski, Maciej; Hoppema, Mario; Ishii, Masao; Gonzalez-davila, Melchor; Bates, Nicholas R.; Metzl, Nicolas; Suntharalingam, Parvadha; Feely, Richard A.; Nakaoka, Shin-ichiro; Lauvset, Siv K.; Takahashi, Taro; Steinhoff, Tobias; Schuster, Ute. |
| The Surface Ocean CO2 NETwork (SOCONET) and atmospheric Marine Boundary Layer (MBL) CO2 measurements from ships and buoys focus on the operational aspects of measurements of CO2 in both the ocean surface and atmospheric MBLs. The goal is to provide accurate pCO(2) data to within 2 micro atmosphere (mu atm) for surface ocean and 0.2 parts per million (ppm) for MBL measurements following rigorous best practices, calibration and intercomparison procedures. Platforms and data will be tracked in near real-time and final quality-controlled data will be provided to the community within a year. The network, involving partners worldwide, will aid in production of important products such as maps of monthly resolved surface ocean CO2 and air-sea CO2 flux... |
| Tipo: Text |
Palavras-chave: Carbon dioxide; Network; Oceanography; Fluxes; Best practices. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00675/78725/80992.pdf |
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| Takao, Shintaro; Nakaoka, Shin-ichiro; Hashihama, Fuminori; Shimada, Keishi; Yoshikawa-inoue, Hisayuki; Hirawake, Toru; Kanda, Jota; Hashida, Gen; Suzuki, Koji. |
| The Southern Ocean is a vast net sink for atmospheric carbon dioxide (CO2), with marine phytoplankton playing a crucial role in CO2 fixation. We assessed how changes in the dominant phytoplankton community and net primary productivity (NPP) affected variations in the partial pressure of CO2 in surface water (pCO(2)(sw)) in the Indian sector of the Southern Ocean during austral summer. pCO2sw was negatively correlated with total phytoplankton and diatom abundances, as estimated from pigment signatures, in the zone south of the Antarctic Circumpolar Current; however, pCO(2)(sw) was not correlated with haptophyte abundance. Additionally, a stronger correlation was found between pCO(2)(sw) and total phytoplankton NPP than between chlorophyll a concentration... |
| Tipo: Text |
Palavras-chave: Phytoplankton community composition; Diatoms; Southern Ocean; Net primary productivity; Carbon dioxide. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00676/78836/81084.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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| 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... |
| Tipo: Text |
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| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00675/78676/80892.pdf |
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| 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... |
| Tipo: Text |
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| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00676/78799/81025.pdf |
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| 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... |
| Tipo: Text |
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| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00677/78860/81159.pdf |
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| Zeng, Jiye; Matsunaga, Tsuneo; Saigusa, Nobuko; Shirai, Tomoko; Nakaoka, Shin-ichiro; Tan, Zheng-hong. |
| Reconstructing surface ocean CO2 from scarce measurements plays an important role in estimating oceanic CO2 uptake. There are varying degrees of differences among the 14 models included in the Surface Ocean CO2 Mapping (SOCOM) inter-comparison initiative, in which five models used neural networks. This investigation evaluates two neural networks used in SOCOM, self-organizing maps and feedforward neural networks, and introduces a machine learning model called a support vector machine for ocean CO2 mapping. The technique note provides a practical guide to selecting the models. |
| Tipo: Text |
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| Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00383/49464/49949.pdf |
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| Registros recuperados: 10 | |
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