Articles | Volume 15, issue 6
https://doi.org/10.5194/bg-15-1643-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-1643-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Mar 2018
Research article |
| 22 Mar 2018
Arctic Ocean CO2 uptake: an improved multiyear estimate of the air–sea CO2 flux incorporating chlorophyll a concentrations
Research and Development Center for Global Change, Japan Agency for
Marine-Earth Science and Technology, Yokosuka, Japan
Institute of Arctic Climate and Environment Research, Japan Agency for
Marine-Earth Science and Technology, Yokosuka, Japan
Eko Siswanto
Research and Development Center for Global Change, Japan Agency for
Marine-Earth Science and Technology, Yokosuka, Japan
Are Olsen
Geophysical Institute, University of Bergen and Bjerknes Centre for
Climate Research, Bergen, Norway
Mario Hoppema
Alfred Wegener Institute Helmholtz Centre for Polar and Marine
Research, Climate Sciences Department, Bremerhaven, Germany
Eiji Watanabe
Institute of Arctic Climate and Environment Research, Japan Agency for
Marine-Earth Science and Technology, Yokosuka, Japan
Agneta Fransson
Norwegian Polar Institute, Fram Centre, Norway
Melissa Chierici
Institute of Marine Research, Tromsø, Norway
Akihiko Murata
Research and Development Center for Global Change, Japan Agency for
Marine-Earth Science and Technology, Yokosuka, Japan
Institute of Arctic Climate and Environment Research, Japan Agency for
Marine-Earth Science and Technology, Yokosuka, Japan
Siv K. Lauvset
Geophysical Institute, University of Bergen and Bjerknes Centre for
Climate Research, Bergen, Norway
Uni Research Climate, Bjerknes Centre for Climate Research, Bergen, Norway
Rik Wanninkhof
National Oceanic and Atmospheric Administration, Atlantic
Oceanographic and Meteorological Laboratory, Miami, FL, USA
Taro Takahashi
Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA
Naohiro Kosugi
Oceanography and Geochemistry Research Department, Meteorological
Research Institute, Japan Meteorological Agency, Tsukuba, Japan
Abdirahman M. Omar
Uni Research Climate, Bjerknes Centre for Climate Research, Bergen, Norway
Steven van Heuven
Energy and Sustainability Research Institute Groningen, Groningen
University, the Netherlands
Jeremy T. Mathis
National Oceanic and Atmospheric Administration, Arctic Research
Program, Seattle, WA, USA
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We developed a simple method to refine existing open-ocean maps towards different coastal seas. Using a multi-linear regression, we produced monthly maps of surface ocean fCO2 in the northern European coastal seas (the North Sea, the Baltic Sea, the Norwegian Coast and the Barents Sea) covering a time period from 1998 to 2016. Based on this fCO2 map, we calculate trends in surface ocean fCO2, pH and the air–sea gas exchange.
Are Olsen, Nico Lange, Robert M. Key, Toste Tanhua, Henry C. Bittig, Alex Kozyr, Marta Álvarez, Kumiko Azetsu-Scott, Susan Becker, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Richard A. Feely, Steven van Heuven, Mario Hoppema, Masao Ishii, Emil Jeansson, Sara Jutterström, Camilla S. Landa, Siv K. Lauvset, Patrick Michaelis, Akihiko Murata, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Bronte Tilbrook, Anton Velo, Rik Wanninkhof, and Ryan J. Woosley
Earth Syst. Sci. Data, 12, 3653–3678, https://doi.org/10.5194/essd-12-3653-2020, https://doi.org/10.5194/essd-12-3653-2020, 2020
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GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by chemical analysis of water bottle samples at scientific cruises. GLODAPv2.2020 is the second update of GLODAPv2 from 2016. The data that are included have been subjected to extensive quality control, including systematic evaluation of measurement biases. This version contains data from 946 hydrographic cruises covering the world's oceans from 1972 to 2019.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Judith Hauck, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Corinne Le Quéré, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone Alin, Luiz E. O. C. Aragão, Almut Arneth, Vivek Arora, Nicholas R. Bates, Meike Becker, Alice Benoit-Cattin, Henry C. Bittig, Laurent Bopp, Selma Bultan, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Wiley Evans, Liesbeth Florentie, Piers M. Forster, Thomas Gasser, Marion Gehlen, Dennis Gilfillan, Thanos Gkritzalis, Luke Gregor, Nicolas Gruber, Ian Harris, Kerstin Hartung, Vanessa Haverd, Richard A. Houghton, Tatiana Ilyina, Atul K. Jain, Emilie Joetzjer, Koji Kadono, Etsushi Kato, Vassilis Kitidis, Jan Ivar Korsbakken, Peter Landschützer, Nathalie Lefèvre, Andrew Lenton, Sebastian Lienert, Zhu Liu, Danica Lombardozzi, Gregg Marland, Nicolas Metzl, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin O'Brien, Tsuneo Ono, Paul I. Palmer, Denis Pierrot, Benjamin Poulter, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Adam J. P. Smith, Adrienne J. Sutton, Toste Tanhua, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Guido van der Werf, Nicolas Vuichard, Anthony P. Walker, Rik Wanninkhof, Andrew J. Watson, David Willis, Andrew J. Wiltshire, Wenping Yuan, Xu Yue, and Sönke Zaehle
Earth Syst. Sci. Data, 12, 3269–3340, https://doi.org/10.5194/essd-12-3269-2020, https://doi.org/10.5194/essd-12-3269-2020, 2020
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The Global Carbon Budget 2020 describes the data sets and methodology used to quantify the emissions of carbon dioxide and their partitioning among the atmosphere, land, and ocean. These living data are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Malek Belgacem, Jacopo Chiggiato, Mireno Borghini, Bruno Pavoni, Gabriella Cerrati, Francesco Acri, Stefano Cozzi, Alberto Ribotti, Marta Álvarez, Siv K. Lauvset, and Katrin Schroeder
Earth Syst. Sci. Data, 12, 1985–2011, https://doi.org/10.5194/essd-12-1985-2020, https://doi.org/10.5194/essd-12-1985-2020, 2020
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Long-term time series are a fundamental prerequisite to understanding and detecting climate shifts and trends. In marginal seas, such as the Mediterranean Sea, there are still monitoring gaps. An extensive dataset of dissolved inorganic nutrient profiles were collected between 2004 and 2017 in the western Mediterranean Sea to provide to the scientific community a publicly available, long-term, quality-controlled, internally consistent new database.
Daniel Broullón, Fiz F. Pérez, Antón Velo, Mario Hoppema, Are Olsen, Taro Takahashi, Robert M. Key, Toste Tanhua, J. Magdalena Santana-Casiano, and Alex Kozyr
Earth Syst. Sci. Data, 12, 1725–1743, https://doi.org/10.5194/essd-12-1725-2020, https://doi.org/10.5194/essd-12-1725-2020, 2020
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This work offers a vision of the global ocean regarding the carbon cycle and the implications of ocean acidification through a climatology of a changing variable in the context of climate change: total dissolved inorganic carbon. The climatology was designed through artificial intelligence techniques to represent the mean state of the present ocean. It is very useful to introduce in models to evaluate the state of the ocean from different perspectives.
Olivier Sulpis, Siv K. Lauvset, and Mathilde Hagens
Ocean Sci., 16, 847–862, https://doi.org/10.5194/os-16-847-2020, https://doi.org/10.5194/os-16-847-2020, 2020
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As direct measurements of seawater carbonate system variables, such as pH, are difficult to obtain, scientists use equilibrium constants to compute them from known variables. Using a compilation of in situ data, we show that the set of equilibrium constants preferred by the community is not consistent with measurements in cold, polar waters, where human-made ocean acidification is spreading rapidly. Closing knowledge gaps regarding seawater carbon chemistry in polar regions should be a priority.
Rik Wanninkhof, Denis Pierrot, Kevin Sullivan, Leticia Barbero, and Joaquin Triñanes
Earth Syst. Sci. Data, 12, 1489–1509, https://doi.org/10.5194/essd-12-1489-2020, https://doi.org/10.5194/essd-12-1489-2020, 2020
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This paper describes a 17-year dataset of over a million data points of automated partial pressure of CO2 (pCO2) measurements on large luxury cruise ships of Royal Caribbean Cruise Lines (RCCL). These data are used to provide trends of ocean acidification and air–sea CO2 fluxes. The effort was possible through a unique continuing industry (RCCL), academic (University of Miami) and governmental (NOAA) partnership.
Mark J. Hopwood, Dustin Carroll, Thorben Dunse, Andy Hodson, Johnna M. Holding, José L. Iriarte, Sofia Ribeiro, Eric P. Achterberg, Carolina Cantoni, Daniel F. Carlson, Melissa Chierici, Jennifer S. Clarke, Stefano Cozzi, Agneta Fransson, Thomas Juul-Pedersen, Mie H. S. Winding, and Lorenz Meire
The Cryosphere, 14, 1347–1383, https://doi.org/10.5194/tc-14-1347-2020, https://doi.org/10.5194/tc-14-1347-2020, 2020
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Here we compare and contrast results from five well-studied Arctic field sites in order to understand how glaciers affect marine biogeochemistry and marine primary production. The key questions are listed as follows. Where and when does glacial freshwater discharge promote or reduce marine primary production? How does spatio-temporal variability in glacial discharge affect marine primary production? And how far-reaching are the effects of glacial discharge on marine biogeochemistry?
Fabian A. Gomez, Rik Wanninkhof, Leticia Barbero, Sang-Ki Lee, and Frank J. Hernandez Jr.
Biogeosciences, 17, 1685–1700, https://doi.org/10.5194/bg-17-1685-2020, https://doi.org/10.5194/bg-17-1685-2020, 2020
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We use a numerical model to infer annual changes of surface carbon chemistry in the Gulf of Mexico (GoM). The main seasonality drivers of partial pressure of carbon dioxide and aragonite saturation state from the model are temperature and river runoff. The GoM basin is a carbon sink in winter–spring and carbon source in summer–fall, but uptake prevails near the Mississippi Delta year-round due to high biological production. Our model results show good correspondence with observational studies.
Pierre Friedlingstein, Matthew W. Jones, Michael O'Sullivan, Robbie M. Andrew, Judith Hauck, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Corinne Le Quéré, Dorothee C. E. Bakker, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Peter Anthoni, Leticia Barbero, Ana Bastos, Vladislav Bastrikov, Meike Becker, Laurent Bopp, Erik Buitenhuis, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Kim I. Currie, Richard A. Feely, Marion Gehlen, Dennis Gilfillan, Thanos Gkritzalis, Daniel S. Goll, Nicolas Gruber, Sören Gutekunst, Ian Harris, Vanessa Haverd, Richard A. Houghton, George Hurtt, Tatiana Ilyina, Atul K. Jain, Emilie Joetzjer, Jed O. Kaplan, Etsushi Kato, Kees Klein Goldewijk, Jan Ivar Korsbakken, Peter Landschützer, Siv K. Lauvset, Nathalie Lefèvre, Andrew Lenton, Sebastian Lienert, Danica Lombardozzi, Gregg Marland, Patrick C. McGuire, Joe R. Melton, Nicolas Metzl, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Craig Neill, Abdirahman M. Omar, Tsuneo Ono, Anna Peregon, Denis Pierrot, Benjamin Poulter, Gregor Rehder, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Roland Séférian, Jörg Schwinger, Naomi Smith, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Francesco N. Tubiello, Guido R. van der Werf, Andrew J. Wiltshire, and Sönke Zaehle
Earth Syst. Sci. Data, 11, 1783–1838, https://doi.org/10.5194/essd-11-1783-2019, https://doi.org/10.5194/essd-11-1783-2019, 2019
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The Global Carbon Budget 2019 describes the data sets and methodology used to quantify the emissions of carbon dioxide and their partitioning among the atmosphere, land, and ocean. These living data are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Are Olsen, Nico Lange, Robert M. Key, Toste Tanhua, Marta Álvarez, Susan Becker, Henry C. Bittig, Brendan R. Carter, Leticia Cotrim da Cunha, Richard A. Feely, Steven van Heuven, Mario Hoppema, Masao Ishii, Emil Jeansson, Steve D. Jones, Sara Jutterström, Maren K. Karlsen, Alex Kozyr, Siv K. Lauvset, Claire Lo Monaco, Akihiko Murata, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Maciej Telszewski, Bronte Tilbrook, Anton Velo, and Rik Wanninkhof
Earth Syst. Sci. Data, 11, 1437–1461, https://doi.org/10.5194/essd-11-1437-2019, https://doi.org/10.5194/essd-11-1437-2019, 2019
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GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by chemical analysis of water bottle samples at scientific cruises. GLODAPv2.2019 is the first update of GLODAPv2 from 2016. The data that are included have been subjected to extensive quality control, including systematic evaluation of measurement biases. This version contains data from 840 hydrographic cruises covering the world's oceans from 1972 to 2017.
Daniel Broullón, Fiz F. Pérez, Antón Velo, Mario Hoppema, Are Olsen, Taro Takahashi, Robert M. Key, Toste Tanhua, Melchor González-Dávila, Emil Jeansson, Alex Kozyr, and Steven M. A. C. van Heuven
Earth Syst. Sci. Data, 11, 1109–1127, https://doi.org/10.5194/essd-11-1109-2019, https://doi.org/10.5194/essd-11-1109-2019, 2019
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In this work, we are contributing to the knowledge of the consequences of climate change in the ocean. We have focused on a variable related to this process: total alkalinity. We have designed a monthly climatology of total alkalinity using artificial intelligence techniques, that is, a representation of the average capacity of the ocean in the last decades to decelerate the consequences of climate change. The climatology is especially useful to infer the evolution of the ocean through models.
Filippa Fransner, Agneta Fransson, Christoph Humborg, Erik Gustafsson, Letizia Tedesco, Robinson Hordoir, and Jonas Nycander
Biogeosciences, 16, 863–879, https://doi.org/10.5194/bg-16-863-2019, https://doi.org/10.5194/bg-16-863-2019, 2019
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Although rivers carry large amounts of organic material to the oceans, little is known about what fate it meets when it reaches the sea. In this study we are investigating the fate of the carbon in this organic matter by the use of a numerical model in combination with ship measurements from the northern Baltic Sea. Our results suggests that there is substantial remineralization taking place, transforming the organic carbon into CO2, which is released to the atmosphere.
Corinne Le Quéré, Robbie M. Andrew, Pierre Friedlingstein, Stephen Sitch, Judith Hauck, Julia Pongratz, Penelope A. Pickers, Jan Ivar Korsbakken, Glen P. Peters, Josep G. Canadell, Almut Arneth, Vivek K. Arora, Leticia Barbero, Ana Bastos, Laurent Bopp, Frédéric Chevallier, Louise P. Chini, Philippe Ciais, Scott C. Doney, Thanos Gkritzalis, Daniel S. Goll, Ian Harris, Vanessa Haverd, Forrest M. Hoffman, Mario Hoppema, Richard A. Houghton, George Hurtt, Tatiana Ilyina, Atul K. Jain, Truls Johannessen, Chris D. Jones, Etsushi Kato, Ralph F. Keeling, Kees Klein Goldewijk, Peter Landschützer, Nathalie Lefèvre, Sebastian Lienert, Zhu Liu, Danica Lombardozzi, Nicolas Metzl, David R. Munro, Julia E. M. S. Nabel, Shin-ichiro Nakaoka, Craig Neill, Are Olsen, Tsueno Ono, Prabir Patra, Anna Peregon, Wouter Peters, Philippe Peylin, Benjamin Pfeil, Denis Pierrot, Benjamin Poulter, Gregor Rehder, Laure Resplandy, Eddy Robertson, Matthias Rocher, Christian Rödenbeck, Ute Schuster, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Tobias Steinhoff, Adrienne Sutton, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Francesco N. Tubiello, Ingrid T. van der Laan-Luijkx, Guido R. van der Werf, Nicolas Viovy, Anthony P. Walker, Andrew J. Wiltshire, Rebecca Wright, Sönke Zaehle, and Bo Zheng
Earth Syst. Sci. Data, 10, 2141–2194, https://doi.org/10.5194/essd-10-2141-2018, https://doi.org/10.5194/essd-10-2141-2018, 2018
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The Global Carbon Budget 2018 describes the data sets and methodology used to quantify the emissions of carbon dioxide and their partitioning among the atmosphere, land, and ocean. These living data are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Katarzyna Zamelczyk, Tine Lander Rasmussen, Markus Raitzsch, and Melissa Chierici
Clim. Past Discuss., https://doi.org/10.5194/cp-2018-93, https://doi.org/10.5194/cp-2018-93, 2018
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We present 2000 years record of properties in the subsurface, near surface and surface water masses SW off Svalbard in relation to climate changes. Planktic foraminifera and their related proxies show warm Roman and Medieval periods and cold Dark and Little Ice Ages. Close correlation of sea surface temperatures recorded by planktic foraminifera with total solar irradiance implies solar activity as a dominant factor influencing sea surface conditions on the decadal-multidecadal time scale.
Daiki Nomura, Mats A. Granskog, Agneta Fransson, Melissa Chierici, Anna Silyakova, Kay I. Ohshima, Lana Cohen, Bruno Delille, Stephen R. Hudson, and Gerhard S. Dieckmann
Biogeosciences, 15, 3331–3343, https://doi.org/10.5194/bg-15-3331-2018, https://doi.org/10.5194/bg-15-3331-2018, 2018
Corinne Le Quéré, Robbie M. Andrew, Pierre Friedlingstein, Stephen Sitch, Julia Pongratz, Andrew C. Manning, Jan Ivar Korsbakken, Glen P. Peters, Josep G. Canadell, Robert B. Jackson, Thomas A. Boden, Pieter P. Tans, Oliver D. Andrews, Vivek K. Arora, Dorothee C. E. Bakker, Leticia Barbero, Meike Becker, Richard A. Betts, Laurent Bopp, Frédéric Chevallier, Louise P. Chini, Philippe Ciais, Catherine E. Cosca, Jessica Cross, Kim Currie, Thomas Gasser, Ian Harris, Judith Hauck, Vanessa Haverd, Richard A. Houghton, Christopher W. Hunt, George Hurtt, Tatiana Ilyina, Atul K. Jain, Etsushi Kato, Markus Kautz, Ralph F. Keeling, Kees Klein Goldewijk, Arne Körtzinger, Peter Landschützer, Nathalie Lefèvre, Andrew Lenton, Sebastian Lienert, Ivan Lima, Danica Lombardozzi, Nicolas Metzl, Frank Millero, Pedro M. S. Monteiro, David R. Munro, Julia E. M. S. Nabel, Shin-ichiro Nakaoka, Yukihiro Nojiri, X. Antonio Padin, Anna Peregon, Benjamin Pfeil, Denis Pierrot, Benjamin Poulter, Gregor Rehder, Janet Reimer, Christian Rödenbeck, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Benjamin D. Stocker, Hanqin Tian, Bronte Tilbrook, Francesco N. Tubiello, Ingrid T. van der Laan-Luijkx, Guido R. van der Werf, Steven van Heuven, Nicolas Viovy, Nicolas Vuichard, Anthony P. Walker, Andrew J. Watson, Andrew J. Wiltshire, Sönke Zaehle, and Dan Zhu
Earth Syst. Sci. Data, 10, 405–448, https://doi.org/10.5194/essd-10-405-2018, https://doi.org/10.5194/essd-10-405-2018, 2018
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The Global Carbon Budget 2017 describes data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. It is the 12th annual update and the 6th published in this journal.
Friederike Fröb, Are Olsen, Fiz F. Pérez, Maribel I. García-Ibáñez, Emil Jeansson, Abdirahman Omar, and Siv K. Lauvset
Biogeosciences, 15, 51–72, https://doi.org/10.5194/bg-15-51-2018, https://doi.org/10.5194/bg-15-51-2018, 2018
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On long timescales, the inventory of total dissolved inorganic carbon in the ocean is mainly driven by the increase in anthropogenic CO2 emitted to the atmosphere due to human activities. On short timescales, however, the anthropogenic signal can be masked by the variability in natural inorganic carbon, shown in this study based on Irminger Sea cruise data from 1991 to 2015. In order to estimate oceanic carbon budgets, we suggest jointly assessing natural, anthropogenic and total carbon.
Naohiro Kosugi, Daisuke Sasano, Masao Ishii, Shigeto Nishino, Hiroshi Uchida, and Hisayuki Yoshikawa-Inoue
Biogeosciences, 14, 5727–5739, https://doi.org/10.5194/bg-14-5727-2017, https://doi.org/10.5194/bg-14-5727-2017, 2017
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Recent variation in air–sea CO2 flux in the Arctic Ocean is focused. In order to understand the relation between sea ice retreat and CO2 chemistry, we conducted hydrographic observations in the Arctic Ocean in 2013. There were relatively high pCO2 surface layer and low pCO2 subsurface layer in the Canada Basin. The former was due to near-equilibration with the atmosphere and the latter primary production. Both were unlikely mixed by disturbance as large sea-ice melt formed strong stratification.
Siv K. Lauvset, Jerry Tjiputra, and Helene Muri
Biogeosciences, 14, 5675–5691, https://doi.org/10.5194/bg-14-5675-2017, https://doi.org/10.5194/bg-14-5675-2017, 2017
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Solar radiation management (SRM) is suggested as a method to offset global warming and to buy time to reduce emissions. Here we use an Earth system model to project the impact of SRM on future ocean biogeochemistry. This work underscores the complexity of climate impacts on ocean primary production and highlights the fact that changes are driven by an integrated effect of many environmental drivers, which all change in different ways.
Corinne Le Quéré, Robbie M. Andrew, Josep G. Canadell, Stephen Sitch, Jan Ivar Korsbakken, Glen P. Peters, Andrew C. Manning, Thomas A. Boden, Pieter P. Tans, Richard A. Houghton, Ralph F. Keeling, Simone Alin, Oliver D. Andrews, Peter Anthoni, Leticia Barbero, Laurent Bopp, Frédéric Chevallier, Louise P. Chini, Philippe Ciais, Kim Currie, Christine Delire, Scott C. Doney, Pierre Friedlingstein, Thanos Gkritzalis, Ian Harris, Judith Hauck, Vanessa Haverd, Mario Hoppema, Kees Klein Goldewijk, Atul K. Jain, Etsushi Kato, Arne Körtzinger, Peter Landschützer, Nathalie Lefèvre, Andrew Lenton, Sebastian Lienert, Danica Lombardozzi, Joe R. Melton, Nicolas Metzl, Frank Millero, Pedro M. S. Monteiro, David R. Munro, Julia E. M. S. Nabel, Shin-ichiro Nakaoka, Kevin O'Brien, Are Olsen, Abdirahman M. Omar, Tsuneo Ono, Denis Pierrot, Benjamin Poulter, Christian Rödenbeck, Joe Salisbury, Ute Schuster, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Benjamin D. Stocker, Adrienne J. Sutton, Taro Takahashi, Hanqin Tian, Bronte Tilbrook, Ingrid T. van der Laan-Luijkx, Guido R. van der Werf, Nicolas Viovy, Anthony P. Walker, Andrew J. Wiltshire, and Sönke Zaehle
Earth Syst. Sci. Data, 8, 605–649, https://doi.org/10.5194/essd-8-605-2016, https://doi.org/10.5194/essd-8-605-2016, 2016
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The Global Carbon Budget 2016 is the 11th annual update of emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, land, and ocean. This data synthesis brings together measurements, statistical information, and analyses of model results in order to provide an assessment of the global carbon budget and their uncertainties for years 1959 to 2015, with a projection for year 2016.
Dorothee C. E. Bakker, Benjamin Pfeil, Camilla S. Landa, Nicolas Metzl, Kevin M. O'Brien, Are Olsen, Karl Smith, Cathy Cosca, Sumiko Harasawa, Stephen D. Jones, Shin-ichiro Nakaoka, Yukihiro Nojiri, Ute Schuster, Tobias Steinhoff, Colm Sweeney, Taro Takahashi, Bronte Tilbrook, Chisato Wada, Rik Wanninkhof, Simone R. Alin, Carlos F. Balestrini, Leticia Barbero, Nicholas R. Bates, Alejandro A. Bianchi, Frédéric Bonou, Jacqueline Boutin, Yann Bozec, Eugene F. Burger, Wei-Jun Cai, Robert D. Castle, Liqi Chen, Melissa Chierici, Kim Currie, Wiley Evans, Charles Featherstone, Richard A. Feely, Agneta Fransson, Catherine Goyet, Naomi Greenwood, Luke Gregor, Steven Hankin, Nick J. Hardman-Mountford, Jérôme Harlay, Judith Hauck, Mario Hoppema, Matthew P. Humphreys, Christopher W. Hunt, Betty Huss, J. Severino P. Ibánhez, Truls Johannessen, Ralph Keeling, Vassilis Kitidis, Arne Körtzinger, Alex Kozyr, Evangelia Krasakopoulou, Akira Kuwata, Peter Landschützer, Siv K. Lauvset, Nathalie Lefèvre, Claire Lo Monaco, Ansley Manke, Jeremy T. Mathis, Liliane Merlivat, Frank J. Millero, Pedro M. S. Monteiro, David R. Munro, Akihiko Murata, Timothy Newberger, Abdirahman M. Omar, Tsuneo Ono, Kristina Paterson, David Pearce, Denis Pierrot, Lisa L. Robbins, Shu Saito, Joe Salisbury, Reiner Schlitzer, Bernd Schneider, Roland Schweitzer, Rainer Sieger, Ingunn Skjelvan, Kevin F. Sullivan, Stewart C. Sutherland, Adrienne J. Sutton, Kazuaki Tadokoro, Maciej Telszewski, Matthias Tuma, Steven M. A. C. van Heuven, Doug Vandemark, Brian Ward, Andrew J. Watson, and Suqing Xu
Earth Syst. Sci. Data, 8, 383–413, https://doi.org/10.5194/essd-8-383-2016, https://doi.org/10.5194/essd-8-383-2016, 2016
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Version 3 of the Surface Ocean CO2 Atlas (www.socat.info) has 14.5 million CO2 (carbon dioxide) values for the years 1957 to 2014 covering the global oceans and coastal seas. Version 3 is an update to version 2 with a longer record and 44 % more CO2 values. The CO2 measurements have been made on ships, fixed moorings and drifting buoys. SOCAT enables quantification of the ocean carbon sink and ocean acidification, as well as model evaluation, thus informing climate negotiations.
Are Olsen, Robert M. Key, Steven van Heuven, Siv K. Lauvset, Anton Velo, Xiaohua Lin, Carsten Schirnick, Alex Kozyr, Toste Tanhua, Mario Hoppema, Sara Jutterström, Reiner Steinfeldt, Emil Jeansson, Masao Ishii, Fiz F. Pérez, and Toru Suzuki
Earth Syst. Sci. Data, 8, 297–323, https://doi.org/10.5194/essd-8-297-2016, https://doi.org/10.5194/essd-8-297-2016, 2016
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The GLODAPv2 data product collects data from more than 700 hydrographic cruises into a global and internally calibrated product. It provides access to the data from almost all ocean carbon cruises carried out since the 1970s and is a unique resource for marine science, in particular regarding the ocean carbon cycle. GLODAPv2 will form the foundation for future routine synthesis of hydrographic data of the same sort.
Siv K. Lauvset, Robert M. Key, Are Olsen, Steven van Heuven, Anton Velo, Xiaohua Lin, Carsten Schirnick, Alex Kozyr, Toste Tanhua, Mario Hoppema, Sara Jutterström, Reiner Steinfeldt, Emil Jeansson, Masao Ishii, Fiz F. Perez, Toru Suzuki, and Sylvain Watelet
Earth Syst. Sci. Data, 8, 325–340, https://doi.org/10.5194/essd-8-325-2016, https://doi.org/10.5194/essd-8-325-2016, 2016
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This paper describes the mapped climatologies that are part of the Global Ocean Data Analysis Project Version 2 (GLODAPv2). GLODAPv2 is a uniformly calibrated open ocean data product on inorganic carbon and carbon-relevant variables. Global mapped climatologies of the total dissolved inorganic carbon, total alkalinity, pH, saturation state of calcite and aragonite, anthropogenic carbon, preindustrial carbon content, inorganic macronutrients, oxygen, salinity, and temperature have been created.
Abdirahman M. Omar, Ingunn Skjelvan, Svein Rune Erga, and Are Olsen
Ocean Sci., 12, 937–951, https://doi.org/10.5194/os-12-937-2016, https://doi.org/10.5194/os-12-937-2016, 2016
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We have determined, for the first time, the seasonal changes and controlling processes of ocean acidification parameters across western Norwegian fjords, based on data obtained mainly with sensors on board a commercial ship, MS Trans Carrier, in 2005–2009. The study fills an important gap in our knowledge on ocean acidification in western Norwegian fjords, which are important ecosystems: important recreation areas, marine pathways, spawning grounds for different fish species, etc.
Maribel I. García-Ibáñez, Patricia Zunino, Friederike Fröb, Lidia I. Carracedo, Aida F. Ríos, Herlé Mercier, Are Olsen, and Fiz F. Pérez
Biogeosciences, 13, 3701–3715, https://doi.org/10.5194/bg-13-3701-2016, https://doi.org/10.5194/bg-13-3701-2016, 2016
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We assessed the progressive acidification (pH decrease) of the North Atlantic waters from direct observations between 1991 and 2015. The greatest pH decreases were observed in surface and intermediate waters. We conclude that the observed pH decreases are a consequence of the oceanic uptake of anthropogenic CO2. In addition we find that they have been partially offset by alkalinity increases.
Tim Stöven, Toste Tanhua, Mario Hoppema, and Wilken-Jon von Appen
Ocean Sci., 12, 319–333, https://doi.org/10.5194/os-12-319-2016, https://doi.org/10.5194/os-12-319-2016, 2016
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The article describes transient tracer distributions of CFC-12 and SF6 in the Fram Strait in 2012. The SF6 excess and the anthropogenic carbon content in this area was estimated assuming a standard parameterization of the inverse-Gaussian–transit-time distribution. Hydrographic data were obtained along a mooring array at 78°50’N and a mean velocity field was used for flux estimates.
C. Rödenbeck, D. C. E. Bakker, N. Gruber, Y. Iida, A. R. Jacobson, S. Jones, P. Landschützer, N. Metzl, S. Nakaoka, A. Olsen, G.-H. Park, P. Peylin, K. B. Rodgers, T. P. Sasse, U. Schuster, J. D. Shutler, V. Valsala, R. Wanninkhof, and J. Zeng
Biogeosciences, 12, 7251–7278, https://doi.org/10.5194/bg-12-7251-2015, https://doi.org/10.5194/bg-12-7251-2015, 2015
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This study investigates variations in the CO2 uptake of the ocean from year to year. These variations have been calculated from measurements of the surface-ocean carbon content by various different interpolation methods. The equatorial Pacific is estimated to be the region with the strongest year-to-year variations, tied to the El Nino phase. The global ocean CO2 uptake gradually increased from about the year 2000. The comparison of the interpolation methods identifies these findings as robust.
C. Le Quéré, R. Moriarty, R. M. Andrew, J. G. Canadell, S. Sitch, J. I. Korsbakken, P. Friedlingstein, G. P. Peters, R. J. Andres, T. A. Boden, R. A. Houghton, J. I. House, R. F. Keeling, P. Tans, A. Arneth, D. C. E. Bakker, L. Barbero, L. Bopp, J. Chang, F. Chevallier, L. P. Chini, P. Ciais, M. Fader, R. A. Feely, T. Gkritzalis, I. Harris, J. Hauck, T. Ilyina, A. K. Jain, E. Kato, V. Kitidis, K. Klein Goldewijk, C. Koven, P. Landschützer, S. K. Lauvset, N. Lefèvre, A. Lenton, I. D. Lima, N. Metzl, F. Millero, D. R. Munro, A. Murata, J. E. M. S. Nabel, S. Nakaoka, Y. Nojiri, K. O'Brien, A. Olsen, T. Ono, F. F. Pérez, B. Pfeil, D. Pierrot, B. Poulter, G. Rehder, C. Rödenbeck, S. Saito, U. Schuster, J. Schwinger, R. Séférian, T. Steinhoff, B. D. Stocker, A. J. Sutton, T. Takahashi, B. Tilbrook, I. T. van der Laan-Luijkx, G. R. van der Werf, S. van Heuven, D. Vandemark, N. Viovy, A. Wiltshire, S. Zaehle, and N. Zeng
Earth Syst. Sci. Data, 7, 349–396, https://doi.org/10.5194/essd-7-349-2015, https://doi.org/10.5194/essd-7-349-2015, 2015
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Accurate assessment of anthropogenic carbon dioxide emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to understand the global carbon cycle, support the development of climate policies, and project future climate change. We describe data sets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on a range of data and models and their interpretation by a broad scientific community.
C. Hauri, S. C. Doney, T. Takahashi, M. Erickson, G. Jiang, and H. W. Ducklow
Biogeosciences, 12, 6761–6779, https://doi.org/10.5194/bg-12-6761-2015, https://doi.org/10.5194/bg-12-6761-2015, 2015
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Evaluation of a unique 20-year-long time series of inorganic carbon and nutrient observations from the West Antarctic Peninsula region shows that summertime biological productivity and meltwater input drive a large range of surface aragonite saturation states from values < 1 (undersaturated) up to 3.9. Even though we did not detect any statistically significant long-term trends, ongoing ocean acidification and freshwater input may soon induce more unfavorable conditions than seen today.
E. Watanabe, J. Onodera, N. Harada, M. N. Aita, A. Ishida, and M. J. Kishi
Biogeosciences, 12, 6147–6168, https://doi.org/10.5194/bg-12-6147-2015, https://doi.org/10.5194/bg-12-6147-2015, 2015
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The current paper presented findings on seasonal and interannual variability of sea ice algal production and biomass over the western Arctic Chukchi Boderland using a pan-Arctic sea ice-ocean modeling approach. In particular, the relationship with wind pattern was focused on. Coupling of physical and biogeochemical analyses provided originality of this study.
T. Stöven, T. Tanhua, M. Hoppema, and J. L. Bullister
Ocean Sci., 11, 699–718, https://doi.org/10.5194/os-11-699-2015, https://doi.org/10.5194/os-11-699-2015, 2015
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We use a suite of transient tracer measurements from a Southern Ocean sector southeast of Africa collected from 1998 and 2012 to quantify ventilation and change in ventilation. We found that the ventilation can be constrained by an inverse Gaussian transit time distribution north of the Subantarctic Front. We do not find any significant changes in upper ocean ventilation during this time period.
C. Le Quéré, R. Moriarty, R. M. Andrew, G. P. Peters, P. Ciais, P. Friedlingstein, S. D. Jones, S. Sitch, P. Tans, A. Arneth, T. A. Boden, L. Bopp, Y. Bozec, J. G. Canadell, L. P. Chini, F. Chevallier, C. E. Cosca, I. Harris, M. Hoppema, R. A. Houghton, J. I. House, A. K. Jain, T. Johannessen, E. Kato, R. F. Keeling, V. Kitidis, K. Klein Goldewijk, C. Koven, C. S. Landa, P. Landschützer, A. Lenton, I. D. Lima, G. Marland, J. T. Mathis, N. Metzl, Y. Nojiri, A. Olsen, T. Ono, S. Peng, W. Peters, B. Pfeil, B. Poulter, M. R. Raupach, P. Regnier, C. Rödenbeck, S. Saito, J. E. Salisbury, U. Schuster, J. Schwinger, R. Séférian, J. Segschneider, T. Steinhoff, B. D. Stocker, A. J. Sutton, T. Takahashi, B. Tilbrook, G. R. van der Werf, N. Viovy, Y.-P. Wang, R. Wanninkhof, A. Wiltshire, and N. Zeng
Earth Syst. Sci. Data, 7, 47–85, https://doi.org/10.5194/essd-7-47-2015, https://doi.org/10.5194/essd-7-47-2015, 2015
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Carbon dioxide (CO2) emissions from human activities (burning fossil fuels and cement production, deforestation and other land-use change) are set to rise again in 2014.
This study (updated yearly) makes an accurate assessment of anthropogenic CO2 emissions and their redistribution between the atmosphere, ocean, and terrestrial biosphere in order to better understand the global carbon cycle, support the development of climate policies, and project future climate change.
A. P. Ballantyne, R. Andres, R. Houghton, B. D. Stocker, R. Wanninkhof, W. Anderegg, L. A. Cooper, M. DeGrandpre, P. P. Tans, J. B. Miller, C. Alden, and J. W. C. White
Biogeosciences, 12, 2565–2584, https://doi.org/10.5194/bg-12-2565-2015, https://doi.org/10.5194/bg-12-2565-2015, 2015
L. A. Salt, S. M. A. C. van Heuven, M. E. Claus, E. M. Jones, and H. J. W. de Baar
Biogeosciences, 12, 1387–1401, https://doi.org/10.5194/bg-12-1387-2015, https://doi.org/10.5194/bg-12-1387-2015, 2015
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The increase in anthropogenic atmospheric carbon dioxide is mitigated by uptake by the world ocean, which alters the pH of the water. In the South Atlantic we find the highest rates of acidification relative to increase in anthropogenic carbon (Cant) found in Subantarctic Mode Water and Antarctic Intermediate Water. The moderate rates of increase in Cant combined with low buffering capacities, due to low salinity and alkalinity values, have caused rapid acidification in the Subantarctic Zone.
J. Onodera, E. Watanabe, N. Harada, and M. C. Honda
Biogeosciences, 12, 1373–1385, https://doi.org/10.5194/bg-12-1373-2015, https://doi.org/10.5194/bg-12-1373-2015, 2015
S. K. Lauvset, N. Gruber, P. Landschützer, A. Olsen, and J. Tjiputra
Biogeosciences, 12, 1285–1298, https://doi.org/10.5194/bg-12-1285-2015, https://doi.org/10.5194/bg-12-1285-2015, 2015
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This paper utilizes the SOCATv2 data product to calculate surface ocean pH. The pH data are divided into 17 biomes, and a linear regression is used to derive the long-term trend of pH in each biome. The results are consistent with the trends observed at time series stations. The uncertainties are too large for a mechanistic understanding of the driving forces behind the trend, but there are indications that concurrent changes in chemistry create spatial variability.
C. Rödenbeck, D. C. E. Bakker, N. Metzl, A. Olsen, C. Sabine, N. Cassar, F. Reum, R. F. Keeling, and M. Heimann
Biogeosciences, 11, 4599–4613, https://doi.org/10.5194/bg-11-4599-2014, https://doi.org/10.5194/bg-11-4599-2014, 2014
K. B. Rodgers, O. Aumont, S. E. Mikaloff Fletcher, Y. Plancherel, L. Bopp, C. de Boyer Montégut, D. Iudicone, R. F. Keeling, G. Madec, and R. Wanninkhof
Biogeosciences, 11, 4077–4098, https://doi.org/10.5194/bg-11-4077-2014, https://doi.org/10.5194/bg-11-4077-2014, 2014
C. Le Quéré, G. P. Peters, R. J. Andres, R. M. Andrew, T. A. Boden, P. Ciais, P. Friedlingstein, R. A. Houghton, G. Marland, R. Moriarty, S. Sitch, P. Tans, A. Arneth, A. Arvanitis, D. C. E. Bakker, L. Bopp, J. G. Canadell, L. P. Chini, S. C. Doney, A. Harper, I. Harris, J. I. House, A. K. Jain, S. D. Jones, E. Kato, R. F. Keeling, K. Klein Goldewijk, A. Körtzinger, C. Koven, N. Lefèvre, F. Maignan, A. Omar, T. Ono, G.-H. Park, B. Pfeil, B. Poulter, M. R. Raupach, P. Regnier, C. Rödenbeck, S. Saito, J. Schwinger, J. Segschneider, B. D. Stocker, T. Takahashi, B. Tilbrook, S. van Heuven, N. Viovy, R. Wanninkhof, A. Wiltshire, and S. Zaehle
Earth Syst. Sci. Data, 6, 235–263, https://doi.org/10.5194/essd-6-235-2014, https://doi.org/10.5194/essd-6-235-2014, 2014
D. C. E. Bakker, B. Pfeil, K. Smith, S. Hankin, A. Olsen, S. R. Alin, C. Cosca, S. Harasawa, A. Kozyr, Y. Nojiri, K. M. O'Brien, U. Schuster, M. Telszewski, B. Tilbrook, C. Wada, J. Akl, L. Barbero, N. R. Bates, J. Boutin, Y. Bozec, W.-J. Cai, R. D. Castle, F. P. Chavez, L. Chen, M. Chierici, K. Currie, H. J. W. de Baar, W. Evans, R. A. Feely, A. Fransson, Z. Gao, B. Hales, N. J. Hardman-Mountford, M. Hoppema, W.-J. Huang, C. W. Hunt, B. Huss, T. Ichikawa, T. Johannessen, E. M. Jones, S. D. Jones, S. Jutterström, V. Kitidis, A. Körtzinger, P. Landschützer, S. K. Lauvset, N. Lefèvre, A. B. Manke, J. T. Mathis, L. Merlivat, N. Metzl, A. Murata, T. Newberger, A. M. Omar, T. Ono, G.-H. Park, K. Paterson, D. Pierrot, A. F. Ríos, C. L. Sabine, S. Saito, J. Salisbury, V. V. S. S. Sarma, R. Schlitzer, R. Sieger, I. Skjelvan, T. Steinhoff, K. F. Sullivan, H. Sun, A. J. Sutton, T. Suzuki, C. Sweeney, T. Takahashi, J. Tjiputra, N. Tsurushima, S. M. A. C. van Heuven, D. Vandemark, P. Vlahos, D. W. R. Wallace, R. Wanninkhof, and A. J. Watson
Earth Syst. Sci. Data, 6, 69–90, https://doi.org/10.5194/essd-6-69-2014, https://doi.org/10.5194/essd-6-69-2014, 2014
M. Ishii, R. A. Feely, K. B. Rodgers, G.-H. Park, R. Wanninkhof, D. Sasano, H. Sugimoto, C. E. Cosca, S. Nakaoka, M. Telszewski, Y. Nojiri, S. E. Mikaloff Fletcher, Y. Niwa, P. K. Patra, V. Valsala, H. Nakano, I. Lima, S. C. Doney, E. T. Buitenhuis, O. Aumont, J. P. Dunne, A. Lenton, and T. Takahashi
Biogeosciences, 11, 709–734, https://doi.org/10.5194/bg-11-709-2014, https://doi.org/10.5194/bg-11-709-2014, 2014
M. Mattsdotter Björk, A. Fransson, A. Torstensson, and M. Chierici
Biogeosciences, 11, 57–73, https://doi.org/10.5194/bg-11-57-2014, https://doi.org/10.5194/bg-11-57-2014, 2014
M. Wakita, S. Watanabe, M. Honda, A. Nagano, K. Kimoto, K. Matsumoto, M. Kitamura, K. Sasaki, H. Kawakami, T. Fujiki, K. Sasaoka, Y. Nakano, and A. Murata
Biogeosciences, 10, 7817–7827, https://doi.org/10.5194/bg-10-7817-2013, https://doi.org/10.5194/bg-10-7817-2013, 2013
A. Lenton, B. Tilbrook, R. M. Law, D. Bakker, S. C. Doney, N. Gruber, M. Ishii, M. Hoppema, N. S. Lovenduski, R. J. Matear, B. I. McNeil, N. Metzl, S. E. Mikaloff Fletcher, P. M. S. Monteiro, C. Rödenbeck, C. Sweeney, and T. Takahashi
Biogeosciences, 10, 4037–4054, https://doi.org/10.5194/bg-10-4037-2013, https://doi.org/10.5194/bg-10-4037-2013, 2013
C. L. Sabine, S. Hankin, H. Koyuk, D. C. E. Bakker, B. Pfeil, A. Olsen, N. Metzl, A. Kozyr, A. Fassbender, A. Manke, J. Malczyk, J. Akl, S. R. Alin, R. G. J. Bellerby, A. Borges, J. Boutin, P. J. Brown, W.-J. Cai, F. P. Chavez, A. Chen, C. Cosca, R. A. Feely, M. González-Dávila, C. Goyet, N. Hardman-Mountford, C. Heinze, M. Hoppema, C. W. Hunt, D. Hydes, M. Ishii, T. Johannessen, R. M. Key, A. Körtzinger, P. Landschützer, S. K. Lauvset, N. Lefèvre, A. Lenton, A. Lourantou, L. Merlivat, T. Midorikawa, L. Mintrop, C. Miyazaki, A. Murata, A. Nakadate, Y. Nakano, S. Nakaoka, Y. Nojiri, A. M. Omar, X. A. Padin, G.-H. Park, K. Paterson, F. F. Perez, D. Pierrot, A. Poisson, A. F. Ríos, J. Salisbury, J. M. Santana-Casiano, V. V. S. S. Sarma, R. Schlitzer, B. Schneider, U. Schuster, R. Sieger, I. Skjelvan, T. Steinhoff, T. Suzuki, T. Takahashi, K. Tedesco, M. Telszewski, H. Thomas, B. Tilbrook, D. Vandemark, T. Veness, A. J. Watson, R. Weiss, C. S. Wong, and H. Yoshikawa-Inoue
Earth Syst. Sci. Data, 5, 145–153, https://doi.org/10.5194/essd-5-145-2013, https://doi.org/10.5194/essd-5-145-2013, 2013
S. Khatiwala, T. Tanhua, S. Mikaloff Fletcher, M. Gerber, S. C. Doney, H. D. Graven, N. Gruber, G. A. McKinley, A. Murata, A. F. Ríos, and C. L. Sabine
Biogeosciences, 10, 2169–2191, https://doi.org/10.5194/bg-10-2169-2013, https://doi.org/10.5194/bg-10-2169-2013, 2013
R. Wanninkhof, G. -H. Park, T. Takahashi, C. Sweeney, R. Feely, Y. Nojiri, N. Gruber, S. C. Doney, G. A. McKinley, A. Lenton, C. Le Quéré, C. Heinze, J. Schwinger, H. Graven, and S. Khatiwala
Biogeosciences, 10, 1983–2000, https://doi.org/10.5194/bg-10-1983-2013, https://doi.org/10.5194/bg-10-1983-2013, 2013
C. Rödenbeck, R. F. Keeling, D. C. E. Bakker, N. Metzl, A. Olsen, C. Sabine, and M. Heimann
Ocean Sci., 9, 193–216, https://doi.org/10.5194/os-9-193-2013, https://doi.org/10.5194/os-9-193-2013, 2013
U. Schuster, G. A. McKinley, N. Bates, F. Chevallier, S. C. Doney, A. R. Fay, M. González-Dávila, N. Gruber, S. Jones, J. Krijnen, P. Landschützer, N. Lefèvre, M. Manizza, J. Mathis, N. Metzl, A. Olsen, A. F. Rios, C. Rödenbeck, J. M. Santana-Casiano, T. Takahashi, R. Wanninkhof, and A. J. Watson
Biogeosciences, 10, 607–627, https://doi.org/10.5194/bg-10-607-2013, https://doi.org/10.5194/bg-10-607-2013, 2013
Related subject area
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Sea–air methane flux estimates derived from marine surface observations and instantaneous atmospheric measurements in the northern Labrador Sea and Baffin Bay
Global analysis of the controls on seawater dimethylsulfide spatial variability
Estimating Marine Carbon Uptake in the Northeast Pacific Using a Neural Network Approach
Air–sea gas exchange in a seagrass ecosystem – results from a 3He ∕ SF6 tracer release experiment
Concentrations of dissolved dimethyl sulfide (DMS), methanethiol and other trace gases in context of microbial communities from the temperate Atlantic to the Arctic Ocean
Marine nitrogen fixation as a possible source of atmospheric water-soluble organic nitrogen aerosols in the subtropical North Pacific
Ice nucleating properties of the sea ice diatom Fragilariopsis cylindrus and its exudates
On physical mechanisms enhancing air–sea CO2 exchange
Winter season Southern Ocean distributions of climate-relevant trace gases
How biogenic polymers control surfactant dynamics in the surface microlayer: insights from a coastal Baltic Sea study
Identifying the biological control of the annual and multi-year variations in South Atlantic air–sea CO2 flux
The sensitivity of pCO2 reconstructions to sampling scales across a Southern Ocean sub-domain: a semi-idealized ocean sampling simulation approach
Physical mechanisms for biological carbon uptake during the onset of the spring phytoplankton bloom in the northwestern Mediterranean Sea (BOUSSOLE site)
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Tidal mixing of estuarine and coastal waters in the western English Channel is a control on spatial and temporal variability in seawater CO2
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Sea ice concentration impacts dissolved organic gases in the Canadian Arctic
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An empirical MLR for estimating surface layer DIC and a comparative assessment to other gap-filling techniques for ocean carbon time series
Derivation of seawater pCO2 from net community production identifies the South Atlantic Ocean as a CO2 source
Eukaryotic community composition in the sea surface microlayer across an east–west transect in the Mediterranean Sea
Enhancement of the North Atlantic CO2 sink by Arctic Waters
Global ocean dimethyl sulfide climatology estimated from observations and an artificial neural network
Atmospheric deposition of organic matter at a remote site in the central Mediterranean Sea: implications for the marine ecosystem
Underway seawater and atmospheric measurements of volatile organic compounds in the Southern Ocean
Dimethylsulfide (DMS), marine biogenic aerosols and the ecophysiology of coral reefs
Spatial variations in CO2 fluxes in the Saguenay Fjord (Quebec, Canada) and results of a water mixing model
Gas exchange estimates in the Peruvian upwelling regime biased by multi-day near-surface stratification
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On the role of climate modes in modulating the air–sea CO2 fluxes in eastern boundary upwelling systems
Reviews and syntheses: the GESAMP atmospheric iron deposition model intercomparison study
Increase of dissolved inorganic carbon and decrease in pH in near-surface waters in the Mediterranean Sea during the past two decades
Utilizing the Drake Passage Time-series to understand variability and change in subpolar Southern Ocean pCO2
Effect of wind speed on the size distribution of gel particles in the sea surface microlayer: insights from a wind–wave channel experiment
The seasonal cycle of pCO2 and CO2 fluxes in the Southern Ocean: diagnosing anomalies in CMIP5 Earth system models
Marine phytoplankton stoichiometry mediates nonlinear interactions between nutrient supply, temperature, and atmospheric CO2
Interannual drivers of the seasonal cycle of CO2 in the Southern Ocean
Constraints on global oceanic emissions of N2O from observations and models
Uncertainty in the global oceanic CO2 uptake induced by wind forcing: quantification and spatial analysis
Phytoplankton growth response to Asian dust addition in the northwest Pacific Ocean versus the Yellow Sea
Global high-resolution monthly pCO2 climatology for the coastal ocean derived from neural network interpolation
Changes in the partial pressure of carbon dioxide in the Mauritanian–Cap Vert upwelling region between 2005 and 2012
Impact of ocean acidification on Arctic phytoplankton blooms and dimethyl sulfide concentration under simulated ice-free and under-ice conditions
Coral reef origins of atmospheric dimethylsulfide at Heron Island, southern Great Barrier Reef, Australia
Bioavailable atmospheric phosphorous supply to the global ocean: a 3-D global modeling study
Coastal-ocean uptake of anthropogenic carbon
Role of zooplankton dynamics for Southern Ocean phytoplankton biomass and global biogeochemical cycles
Surfactant control of gas transfer velocity along an offshore coastal transect: results from a laboratory gas exchange tank
Climate impacts on multidecadal pCO2 variability in the North Atlantic: 1948–2009
Judith Vogt, David Risk, Evelise Bourlon, Kumiko Azetsu-Scott, Evan N. Edinger, and Owen A. Sherwood
Biogeosciences, 20, 1773–1787, https://doi.org/10.5194/bg-20-1773-2023, https://doi.org/10.5194/bg-20-1773-2023, 2023
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The release of the greenhouse gas methane from Arctic submarine sources could exacerbate climate change in a positive feedback. Continuous monitoring of atmospheric methane levels over a 5100 km voyage in the western margin of the Labrador Sea and Baffin Bay revealed above-global averages likely affected by both onshore and offshore methane sources. Instantaneous sea–air methane fluxes were near zero at all measured stations, including a persistent cold-seep location.
George Manville, Thomas G. Bell, Jane P. Mulcahy, Rafel Simó, Martí Galí, Anoop S. Mahajan, Shrivardhan Hulswar, and Paul R. Halloran
Biogeosciences, 20, 1813–1828, https://doi.org/10.5194/bg-20-1813-2023, https://doi.org/10.5194/bg-20-1813-2023, 2023
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We present the first global investigation of controls on seawater dimethylsulfide (DMS) spatial variability over scales of up to 100 km. Sea surface height anomalies, density, and chlorophyll a help explain almost 80 % of DMS variability. The results suggest that physical and biogeochemical processes play an equally important role in controlling DMS variability. These data provide independent confirmation that existing parameterisations of seawater DMS concentration use appropriate variables.
Patrick J. Duke, Roberta C. Hamme, Debby Ianson, Peter Landschützer, Mohamed M. M. Ahmed, Neil C. Swart, and Paul A. Covert
EGUsphere, https://doi.org/10.5194/egusphere-2023-870, https://doi.org/10.5194/egusphere-2023-870, 2023
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The ocean is both impacted by climate change and helps mitigate its affects through taking up carbon from the atmosphere. We used a machine learning approach to investigate what controls open ocean carbon uptake in the Northeast Pacific. Marine heatwaves that lasted 2–3 years increased uptake, while the Alaskan Gyre controlled uptake over 10-year time periods. The trend from 1998–2019 suggests carbon uptake in the Northeast Pacific open ocean is increasing.
Ryo Dobashi and David T. Ho
Biogeosciences, 20, 1075–1087, https://doi.org/10.5194/bg-20-1075-2023, https://doi.org/10.5194/bg-20-1075-2023, 2023
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Seagrass meadows are productive ecosystems and bury much carbon. Understanding their role in the global carbon cycle requires knowledge of air–sea CO2 fluxes and hence the knowledge of gas transfer velocity (k). In this study, k was determined from the dual tracer technique in Florida Bay. The observed gas transfer velocity was lower than previous studies in the coastal and open oceans at the same wind speeds, most likely due to wave attenuation by seagrass and limited wind fetch in this area.
Valérie Gros, Bernard Bonsang, Roland Sarda-Estève, Anna Nikolopoulos, Katja Metfies, Matthias Wietz, and Ilka Peeken
Biogeosciences, 20, 851–867, https://doi.org/10.5194/bg-20-851-2023, https://doi.org/10.5194/bg-20-851-2023, 2023
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The oceans are both sources and sinks for trace gases important for atmospheric chemistry and marine ecology. Here, we quantified selected trace gases (including the biological metabolites dissolved dimethyl sulfide, methanethiol and isoprene) along a 2500 km transect from the North Atlantic to the Arctic Ocean. In the context of phytoplankton and bacterial communities, our study suggests that methanethiol (rarely measured before) might substantially influence ocean–atmosphere cycling.
Tsukasa Dobashi, Yuzo Miyazaki, Eri Tachibana, Kazutaka Takahashi, Sachiko Horii, Fuminori Hashihama, Saori Yasui-Tamura, Yoko Iwamoto, Shu-Kuan Wong, and Koji Hamasaki
Biogeosciences, 20, 439–449, https://doi.org/10.5194/bg-20-439-2023, https://doi.org/10.5194/bg-20-439-2023, 2023
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Water-soluble organic nitrogen (WSON) in marine aerosols is important for biogeochemical cycling of bioelements. Our shipboard measurements suggested that reactive nitrogen produced and exuded by nitrogen-fixing microorganisms in surface seawater likely contributed to the formation of WSON aerosols in the subtropical North Pacific. This study provides new implications for the role of marine microbial activity in the formation of WSON aerosols in the ocean surface.
Lukas Eickhoff, Maddalena Bayer-Giraldi, Naama Reicher, Yinon Rudich, and Thomas Koop
Biogeosciences, 20, 1–14, https://doi.org/10.5194/bg-20-1-2023, https://doi.org/10.5194/bg-20-1-2023, 2023
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The formation of ice is an important process in Earth’s atmosphere, biosphere, and cryosphere, in particular in polar regions. Our research focuses on the influence of the sea ice diatom Fragilariopsis cylindrus and of molecules produced by it upon heterogenous ice nucleation. For that purpose, we studied the freezing of tiny droplets containing the diatoms in a microfluidic device. Together with previous studies, our results suggest a common freezing behaviour of various sea ice diatoms.
Lucía Gutiérrez-Loza, Erik Nilsson, Marcus B. Wallin, Erik Sahlée, and Anna Rutgersson
Biogeosciences, 19, 5645–5665, https://doi.org/10.5194/bg-19-5645-2022, https://doi.org/10.5194/bg-19-5645-2022, 2022
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The exchange of CO2 between the ocean and the atmosphere is an essential aspect of the global carbon cycle and is highly relevant for the Earth's climate. In this study, we used 9 years of in situ measurements to evaluate the temporal variability in the air–sea CO2 fluxes in the Baltic Sea. Furthermore, using this long record, we assessed the effect of atmospheric and water-side mechanisms controlling the efficiency of the air–sea CO2 exchange under different wind-speed conditions.
Li Zhou, Dennis Booge, Miming Zhang, and Christa A. Marandino
Biogeosciences, 19, 5021–5040, https://doi.org/10.5194/bg-19-5021-2022, https://doi.org/10.5194/bg-19-5021-2022, 2022
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Trace gas air–sea exchange exerts an important control on air quality and climate, especially in the Southern Ocean (SO). Almost all of the measurements there are skewed to summer, but it is essential to expand our measurement database over greater temporal and spatial scales. Therefore, we report measured concentrations of dimethylsulfide (DMS, as well as related sulfur compounds) and isoprene in the Atlantic sector of the SO. The observations of isoprene are the first in the winter in the SO.
Theresa Barthelmeß and Anja Engel
Biogeosciences, 19, 4965–4992, https://doi.org/10.5194/bg-19-4965-2022, https://doi.org/10.5194/bg-19-4965-2022, 2022
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Greenhouse gases released by human activity cause a global rise in mean temperatures. While scientists can predict how much of these gases accumulate in the atmosphere based on not only human-derived sources but also oceanic sinks, it is rather difficult to predict the major influence of coastal ecosystems. We provide a detailed study on the occurrence, composition, and controls of substances that suppress gas exchange. We thus help to determine what controls coastal greenhouse gas fluxes.
Daniel J. Ford, Gavin H. Tilstone, Jamie D. Shutler, and Vassilis Kitidis
Biogeosciences, 19, 4287–4304, https://doi.org/10.5194/bg-19-4287-2022, https://doi.org/10.5194/bg-19-4287-2022, 2022
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This study explores the seasonal, inter-annual, and multi-year drivers of the South Atlantic air–sea CO2 flux. Our analysis showed seasonal sea surface temperatures dominate in the subtropics, and the subpolar regions correlated with biological processes. Inter-annually, the El Niño–Southern Oscillation correlated with the CO2 flux by modifying sea surface temperatures and biological activity. Long-term trends indicated an important biological contribution to changes in the air–sea CO2 flux.
Laique M. Djeutchouang, Nicolette Chang, Luke Gregor, Marcello Vichi, and Pedro M. S. Monteiro
Biogeosciences, 19, 4171–4195, https://doi.org/10.5194/bg-19-4171-2022, https://doi.org/10.5194/bg-19-4171-2022, 2022
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Based on observing system simulation experiments using a mesoscale-resolving model, we found that to significantly improve uncertainties and biases in carbon dioxide (CO2) mapping in the Southern Ocean, it is essential to resolve the seasonal cycle (SC) of the meridional gradient of CO2 through high frequency (at least daily) observations that also span the region's meridional axis. We also showed that the estimated SC anomaly and mean annual CO2 are highly sensitive to seasonal sampling biases.
Liliane Merlivat, Michael Hemming, Jacqueline Boutin, David Antoine, Vincenzo Vellucci, Melek Golbol, Gareth A. Lee, and Laurence Beaumont
Biogeosciences, 19, 3911–3920, https://doi.org/10.5194/bg-19-3911-2022, https://doi.org/10.5194/bg-19-3911-2022, 2022
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We use in situ high-temporal-resolution measurements of dissolved inorganic carbon and atmospheric parameters at the air–sea interface to analyse phytoplankton bloom initiation identified as the net rate of biological carbon uptake in the Mediterranean Sea. The shift from wind-driven to buoyancy-driven mixing creates conditions for blooms to begin. Active mixing at the air–sea interface leads to the onset of the surface phytoplankton bloom due to the relaxation of wind speed following storms.
Léa Olivier, Jacqueline Boutin, Gilles Reverdin, Nathalie Lefèvre, Peter Landschützer, Sabrina Speich, Johannes Karstensen, Matthieu Labaste, Christophe Noisel, Markus Ritschel, Tobias Steinhoff, and Rik Wanninkhof
Biogeosciences, 19, 2969–2988, https://doi.org/10.5194/bg-19-2969-2022, https://doi.org/10.5194/bg-19-2969-2022, 2022
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We investigate the impact of the interactions between eddies and the Amazon River plume on the CO2 air–sea fluxes to better characterize the ocean carbon sink in winter 2020. The region is a strong CO2 sink, previously underestimated by a factor of 10 due to a lack of data and understanding of the processes responsible for the variability in ocean carbon parameters. The CO2 absorption is mainly driven by freshwater from the Amazon entrained by eddies and by the winter seasonal cooling.
Hana Jurikova, Osamu Abe, Fuh-Kwo Shiah, and Mao-Chang Liang
Biogeosciences, 19, 2043–2058, https://doi.org/10.5194/bg-19-2043-2022, https://doi.org/10.5194/bg-19-2043-2022, 2022
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We studied the isotopic composition of oxygen dissolved in seawater in the South China Sea. This tells us about the origin of oxygen in the water column, distinguishing between biological oxygen produced by phytoplankton communities and atmospheric oxygen entering seawater through gas exchange. We found that the East Asian Monsoon plays an important role in determining the amount of oxygen produced vs. consumed by the phytoplankton, as well as in inducing vertical water mass mixing.
Richard P. Sims, Michael Bedington, Ute Schuster, Andrew J. Watson, Vassilis Kitidis, Ricardo Torres, Helen S. Findlay, James R. Fishwick, Ian Brown, and Thomas G. Bell
Biogeosciences, 19, 1657–1674, https://doi.org/10.5194/bg-19-1657-2022, https://doi.org/10.5194/bg-19-1657-2022, 2022
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The amount of carbon dioxide (CO2) being absorbed by the ocean is relevant to the earth's climate. CO2 values in the coastal ocean and estuaries are not well known because of the instrumentation used. We used a new approach to measure CO2 across the coastal and estuarine zone. We found that CO2 and salinity were linked to the state of the tide. We used our CO2 measurements and model salinity to predict CO2. Previous studies overestimate how much CO2 the coastal ocean draws down at our site.
Thi Tuyet Trang Chau, Marion Gehlen, and Frédéric Chevallier
Biogeosciences, 19, 1087–1109, https://doi.org/10.5194/bg-19-1087-2022, https://doi.org/10.5194/bg-19-1087-2022, 2022
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Air–sea CO2 fluxes and associated uncertainty over the open ocean to coastal shelves are estimated with a new ensemble-based reconstruction of pCO2 trained on observation-based data. The regional distribution and seasonality of CO2 sources and sinks are consistent with those suggested in previous studies as well as mechanisms discussed therein. The ensemble-based uncertainty field allows identifying critical regions where improvements in pCO2 and air–sea CO2 flux estimates should be a priority.
Charel Wohl, Anna E. Jones, William T. Sturges, Philip D. Nightingale, Brent Else, Brian J. Butterworth, and Mingxi Yang
Biogeosciences, 19, 1021–1045, https://doi.org/10.5194/bg-19-1021-2022, https://doi.org/10.5194/bg-19-1021-2022, 2022
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We measured concentrations of five different organic gases in seawater in the high Arctic during summer. We found higher concentrations near the surface of the water column (top 5–10 m) and in areas of partial ice cover. This suggests that sea ice influences the concentrations of these gases. These gases indirectly exert a slight cooling effect on the climate, and it is therefore important to measure the levels accurately for future climate predictions.
Alain de Verneil, Zouhair Lachkar, Shafer Smith, and Marina Lévy
Biogeosciences, 19, 907–929, https://doi.org/10.5194/bg-19-907-2022, https://doi.org/10.5194/bg-19-907-2022, 2022
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The Arabian Sea is a natural CO2 source to the atmosphere, but previous work highlights discrepancies between data and models in estimating air–sea CO2 flux. In this study, we use a regional ocean model, achieve a flux closer to available data, and break down the seasonal cycles that impact it, with one result being the great importance of monsoon winds. As demonstrated in a meta-analysis, differences from data still remain, highlighting the great need for further regional data collection.
Jesse M. Vance, Kim Currie, John Zeldis, Peter W. Dillingham, and Cliff S. Law
Biogeosciences, 19, 241–269, https://doi.org/10.5194/bg-19-241-2022, https://doi.org/10.5194/bg-19-241-2022, 2022
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Long-term monitoring is needed to detect changes in our environment. Time series of ocean carbon have aided our understanding of seasonal cycles and provided evidence for ocean acidification. Data gaps are inevitable, yet no standard method for filling gaps exists. We present a regression approach here and compare it to seven other common methods to understand the impact of different approaches when assessing seasonal to climatic variability in ocean carbon.
Daniel J. Ford, Gavin H. Tilstone, Jamie D. Shutler, and Vassilis Kitidis
Biogeosciences, 19, 93–115, https://doi.org/10.5194/bg-19-93-2022, https://doi.org/10.5194/bg-19-93-2022, 2022
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This study identifies the most accurate biological proxy for the estimation of seawater pCO2 fields, which are key to assessing the ocean carbon sink. Our analysis shows that the net community production (NCP), the balance between photosynthesis and respiration, was more accurate than chlorophyll a within a neural network scheme. The improved pCO2 estimates, based on NCP, identified the South Atlantic Ocean as a net CO2 source, compared to a CO2 sink using chlorophyll a.
Birthe Zäncker, Michael Cunliffe, and Anja Engel
Biogeosciences, 18, 2107–2118, https://doi.org/10.5194/bg-18-2107-2021, https://doi.org/10.5194/bg-18-2107-2021, 2021
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Fungi are found in numerous marine environments. Our study found an increased importance of fungi in the Ionian Sea, where bacterial and phytoplankton counts were reduced, but organic matter was still available, suggesting fungi might benefit from the reduced competition from bacteria in low-nutrient, low-chlorophyll (LNLC) regions.
Jon Olafsson, Solveig R. Olafsdottir, Taro Takahashi, Magnus Danielsen, and Thorarinn S. Arnarson
Biogeosciences, 18, 1689–1701, https://doi.org/10.5194/bg-18-1689-2021, https://doi.org/10.5194/bg-18-1689-2021, 2021
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The Atlantic north of 50° N is an intense ocean sink area for atmospheric CO2. Observations in the vicinity of Iceland reveal a previously unrecognized Arctic contribution to the North Atlantic CO2 sink. Sustained CO2 influx to waters flowing from the Arctic Ocean is linked to their excess alkalinity derived from sources in the changing Arctic. The results relate to the following question: will the North Atlantic continue to absorb CO2 in the future as it has in the past?
Wei-Lei Wang, Guisheng Song, François Primeau, Eric S. Saltzman, Thomas G. Bell, and J. Keith Moore
Biogeosciences, 17, 5335–5354, https://doi.org/10.5194/bg-17-5335-2020, https://doi.org/10.5194/bg-17-5335-2020, 2020
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Dimethyl sulfide, a volatile compound produced as a byproduct of marine phytoplankton activity, can be emitted to the atmosphere via gas exchange. In the atmosphere, DMS is oxidized to cloud condensation nuclei, thus contributing to cloud formation. Therefore, oceanic DMS plays an important role in regulating the planet's climate by influencing the radiation budget. In this study, we use an artificial neural network model to update the global DMS climatology and estimate the sea-to-air flux.
Yuri Galletti, Silvia Becagli, Alcide di Sarra, Margherita Gonnelli, Elvira Pulido-Villena, Damiano M. Sferlazzo, Rita Traversi, Stefano Vestri, and Chiara Santinelli
Biogeosciences, 17, 3669–3684, https://doi.org/10.5194/bg-17-3669-2020, https://doi.org/10.5194/bg-17-3669-2020, 2020
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This paper reports the first data about atmospheric deposition of dissolved organic matter (DOM) on the island of Lampedusa. It also shows the implications for the surface marine layer by studying the impact of atmospheric organic carbon deposition in the marine ecosystem. It is a preliminary study, but it is pioneering and important for having new data that can be crucial in order to understand the impact of atmospheric deposition on the marine carbon cycle in a global climate change scenario.
Charel Wohl, Ian Brown, Vassilis Kitidis, Anna E. Jones, William T. Sturges, Philip D. Nightingale, and Mingxi Yang
Biogeosciences, 17, 2593–2619, https://doi.org/10.5194/bg-17-2593-2020, https://doi.org/10.5194/bg-17-2593-2020, 2020
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The oceans represent a poorly understood source of organic carbon to the atmosphere. In this paper, we present ship-based measurements of specific compounds in ambient air and seawater of the Southern Ocean. We present fluxes of these gases between air and sea at very high resolution. The data also contain evidence for day and night variations in some of these compounds. These measurements can be used to better understand the role of the Southern Ocean in the cycling of these compounds.
Rebecca L. Jackson, Albert J. Gabric, Roger Cropp, and Matthew T. Woodhouse
Biogeosciences, 17, 2181–2204, https://doi.org/10.5194/bg-17-2181-2020, https://doi.org/10.5194/bg-17-2181-2020, 2020
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Coral reefs are a strong source of atmospheric sulfur through stress-induced emissions of dimethylsulfide (DMS). This biogenic sulfur can influence aerosol and cloud properties and, consequently, the radiative balance over the ocean. DMS emissions may therefore help to mitigate coral physiological stress via increased low-level cloud cover and reduced sea surface temperature. The importance of DMS in coral physiology and climate is reviewed and the implications for coral bleaching are discussed.
Louise Delaigue, Helmuth Thomas, and Alfonso Mucci
Biogeosciences, 17, 547–566, https://doi.org/10.5194/bg-17-547-2020, https://doi.org/10.5194/bg-17-547-2020, 2020
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This paper reports on the first compilation and analysis of the surface water pCO2 distribution in the Saguenay Fjord, the southernmost subarctic fjord in the Northern Hemisphere, and thus fills a significant knowledge gap in current regional estimates of estuarine CO2 emissions.
Tim Fischer, Annette Kock, Damian L. Arévalo-Martínez, Marcus Dengler, Peter Brandt, and Hermann W. Bange
Biogeosciences, 16, 2307–2328, https://doi.org/10.5194/bg-16-2307-2019, https://doi.org/10.5194/bg-16-2307-2019, 2019
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We investigated air–sea gas exchange in oceanic upwelling regions for the case of nitrous oxide off Peru. In this region, routine concentration measurements from ships at 5 m or 10 m depth prove to overestimate surface (bulk) concentration. Thus, standard estimates of gas exchange will show systematic error. This is due to very shallow stratified layers that inhibit exchange between surface water and waters below and can exist for several days. Maximum bias occurs in moderate wind conditions.
Mingxi Yang, Thomas G. Bell, Ian J. Brown, James R. Fishwick, Vassilis Kitidis, Philip D. Nightingale, Andrew P. Rees, and Timothy J. Smyth
Biogeosciences, 16, 961–978, https://doi.org/10.5194/bg-16-961-2019, https://doi.org/10.5194/bg-16-961-2019, 2019
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We quantify the emissions and uptake of the greenhouse gases carbon dioxide and methane from the coastal seas of the UK over 1 year using the state-of-the-art eddy covariance technique. Our measurements show how these air–sea fluxes vary twice a day (tidal), diurnally (circadian) and seasonally. We also estimate the air–sea gas transfer velocity, which is essential for modelling and predicting coastal air-sea exchange.
Riley X. Brady, Nicole S. Lovenduski, Michael A. Alexander, Michael Jacox, and Nicolas Gruber
Biogeosciences, 16, 329–346, https://doi.org/10.5194/bg-16-329-2019, https://doi.org/10.5194/bg-16-329-2019, 2019
Stelios Myriokefalitakis, Akinori Ito, Maria Kanakidou, Athanasios Nenes, Maarten C. Krol, Natalie M. Mahowald, Rachel A. Scanza, Douglas S. Hamilton, Matthew S. Johnson, Nicholas Meskhidze, Jasper F. Kok, Cecile Guieu, Alex R. Baker, Timothy D. Jickells, Manmohan M. Sarin, Srinivas Bikkina, Rachel Shelley, Andrew Bowie, Morgane M. G. Perron, and Robert A. Duce
Biogeosciences, 15, 6659–6684, https://doi.org/10.5194/bg-15-6659-2018, https://doi.org/10.5194/bg-15-6659-2018, 2018
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The first atmospheric iron (Fe) deposition model intercomparison is presented in this study, as a result of the deliberations of the United Nations Joint Group of Experts on the Scientific Aspects of Marine Environmental Protection (GESAMP; http://www.gesamp.org/) Working Group 38. We conclude that model diversity over remote oceans reflects uncertainty in the Fe content parameterizations of dust aerosols, combustion aerosol emissions and the size distribution of transported aerosol Fe.
Liliane Merlivat, Jacqueline Boutin, David Antoine, Laurence Beaumont, Melek Golbol, and Vincenzo Vellucci
Biogeosciences, 15, 5653–5662, https://doi.org/10.5194/bg-15-5653-2018, https://doi.org/10.5194/bg-15-5653-2018, 2018
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The fugacity of carbon dioxide in seawater (fCO2) was measured hourly in the surface waters of the NW Mediterranean Sea during two 3-year sequences separated by 18 years. A decrease of pH of 0.0022 yr−1 was computed. About 85 % of the accumulation of dissolved inorganic carbon (DIC) comes from chemical equilibration with increasing atmospheric CO2; the remaining 15 % accumulation is consistent with estimates of transfer of Atlantic waters through the Gibraltar Strait.
Amanda R. Fay, Nicole S. Lovenduski, Galen A. McKinley, David R. Munro, Colm Sweeney, Alison R. Gray, Peter Landschützer, Britton B. Stephens, Taro Takahashi, and Nancy Williams
Biogeosciences, 15, 3841–3855, https://doi.org/10.5194/bg-15-3841-2018, https://doi.org/10.5194/bg-15-3841-2018, 2018
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The Southern Ocean is highly under-sampled and since this region dominates the ocean sink for CO2, understanding change is critical. Here we utilize available observations to evaluate how the seasonal cycle, variability, and trends in surface ocean carbon in the well-sampled Drake Passage region compare to that of the broader subpolar Southern Ocean. Results indicate that the Drake Passage is representative of the broader region; however, additional winter observations would improve comparisons.
Cui-Ci Sun, Martin Sperling, and Anja Engel
Biogeosciences, 15, 3577–3589, https://doi.org/10.5194/bg-15-3577-2018, https://doi.org/10.5194/bg-15-3577-2018, 2018
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Biogenic gel particles such as transparent exopolymer particles (TEP) and Coomassie stainable particles (CSP) are important components in the sea-surface microlayer (SML). Their potential role in air–sea gas exchange and in primary organic aerosol emission has generated considerable research interest. Our wind wave channel experiment revealed how wind speed controls the accumulation and size distribution of biogenic gel particles in the SML.
N. Precious Mongwe, Marcello Vichi, and Pedro M. S. Monteiro
Biogeosciences, 15, 2851–2872, https://doi.org/10.5194/bg-15-2851-2018, https://doi.org/10.5194/bg-15-2851-2018, 2018
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Here we analyze seasonal cycle of CO2 biases in 10 CMIP5 models in the SO. We find two main model biases; exaggeration of primary production such that biologically driven DIC changes mainly regulates FCO2 variability, and an overestimation of the role of solubility, such that changes in temperature dominantly drive FCO2 seasonal changes to an extent of opposing biological CO2 uptake in spring. CMIP5 models show greater zonal homogeneity in the seasonal cycle of FCO2 than observational products.
Allison R. Moreno, George I. Hagstrom, Francois W. Primeau, Simon A. Levin, and Adam C. Martiny
Biogeosciences, 15, 2761–2779, https://doi.org/10.5194/bg-15-2761-2018, https://doi.org/10.5194/bg-15-2761-2018, 2018
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To bridge the missing links between variable marine elemental stoichiometry, phytoplankton physiology and carbon cycling, we embed four environmentally controlled stoichiometric models into a five-box ocean model. As predicted each model varied in its influence on the biological pump. Surprisingly, we found that variation can lead to nonlinear controls on atmospheric CO2 and carbon export, suggesting the need for further studies of ocean C : P and the impact on ocean carbon cycling.
Luke Gregor, Schalk Kok, and Pedro M. S. Monteiro
Biogeosciences, 15, 2361–2378, https://doi.org/10.5194/bg-15-2361-2018, https://doi.org/10.5194/bg-15-2361-2018, 2018
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The Southern Ocean accounts for a large portion of the variability in oceanic CO2 uptake. However, the drivers of these changes are not understood due to a lack of observations. In this study, we used an ensemble of gap-filling methods to estimate surface CO2. We found that winter was a more important driver of longer-term variability driven by changes in wind stress. Summer variability of CO2 was driven primarily by increases in primary production.
Erik T. Buitenhuis, Parvadha Suntharalingam, and Corinne Le Quéré
Biogeosciences, 15, 2161–2175, https://doi.org/10.5194/bg-15-2161-2018, https://doi.org/10.5194/bg-15-2161-2018, 2018
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Thanks to decreases in CFC concentrations, N2O is now the third-most important greenhouse gas, and the dominant contributor to stratospheric ozone depletion. Here we estimate the ocean–atmosphere N2O flux. We find that an estimate based on observations alone has a large uncertainty. By combining observations and a range of model simulations we find that the uncertainty is much reduced to 2.45 ± 0.8 Tg N yr−1, and better constrained and at the lower end of the estimate in the latest IPCC report.
Alizée Roobaert, Goulven G. Laruelle, Peter Landschützer, and Pierre Regnier
Biogeosciences, 15, 1701–1720, https://doi.org/10.5194/bg-15-1701-2018, https://doi.org/10.5194/bg-15-1701-2018, 2018
Chao Zhang, Huiwang Gao, Xiaohong Yao, Zongbo Shi, Jinhui Shi, Yang Yu, Ling Meng, and Xinyu Guo
Biogeosciences, 15, 749–765, https://doi.org/10.5194/bg-15-749-2018, https://doi.org/10.5194/bg-15-749-2018, 2018
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This study compares the response of phytoplankton growth in the northwest Pacific to those in the Yellow Sea. In general, larger positive responses of phytoplankton induced by combined nutrients (in the subtropical gyre of the northwest Pacific) than those induced by a single nutrient (in the Kuroshio Extension and the Yellow Sea) from the dust are observed. We also emphasize the importance of an increase in bioavailable P stock for phytoplankton growth following dust addition.
Goulven G. Laruelle, Peter Landschützer, Nicolas Gruber, Jean-Louis Tison, Bruno Delille, and Pierre Regnier
Biogeosciences, 14, 4545–4561, https://doi.org/10.5194/bg-14-4545-2017, https://doi.org/10.5194/bg-14-4545-2017, 2017
Melchor González-Dávila, J. Magdalena Santana Casiano, and Francisco Machín
Biogeosciences, 14, 3859–3871, https://doi.org/10.5194/bg-14-3859-2017, https://doi.org/10.5194/bg-14-3859-2017, 2017
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The Mauritanian–Cap Vert upwelling is shown to be sensitive to climate change forcing on upwelling processes, which strongly affects the CO2 surface distribution, ocean acidification rates, and air–sea CO2 exchange. We confirmed an upwelling intensification, an increase in the CO2 outgassing, and an important decrease in the pH of the surface waters. Upwelling areas are poorly studied and VOS lines are shown as one of the most significant contributors to our knowledge of the ocean's response.
Rachel Hussherr, Maurice Levasseur, Martine Lizotte, Jean-Éric Tremblay, Jacoba Mol, Helmuth Thomas, Michel Gosselin, Michel Starr, Lisa A. Miller, Tereza Jarniková, Nina Schuback, and Alfonso Mucci
Biogeosciences, 14, 2407–2427, https://doi.org/10.5194/bg-14-2407-2017, https://doi.org/10.5194/bg-14-2407-2017, 2017
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This study assesses the impact of ocean acidification on phytoplankton and its synthesis of the climate-active gas dimethyl sulfide (DMS), as well as its modulation, by two contrasting light regimes in the Arctic. The light regimes tested had no significant impact on either the phytoplankton or DMS concentration, whereas both variables decreased linearly with the decrease in pH. Thus, a rapid decrease in surface water pH could alter the algal biomass and inhibit DMS production in the Arctic.
Hilton B. Swan, Graham B. Jones, Elisabeth S. M. Deschaseaux, and Bradley D. Eyre
Biogeosciences, 14, 229–239, https://doi.org/10.5194/bg-14-229-2017, https://doi.org/10.5194/bg-14-229-2017, 2017
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We measured the sulfur gas dimethylsulfide (DMS) in marine air at a coral cay on the Great Barrier Reef. DMS is well known to be released from the world's oceans, but environmental evidence of coral reefs releasing DMS has not been clearly demonstrated. We showed the coral reef can sometimes release DMS to the air, which was seen as spikes above the DMS released from the ocean. The DMS from the reef supplements the DMS from the ocean to assist formation of clouds that influence local climate.
Stelios Myriokefalitakis, Athanasios Nenes, Alex R. Baker, Nikolaos Mihalopoulos, and Maria Kanakidou
Biogeosciences, 13, 6519–6543, https://doi.org/10.5194/bg-13-6519-2016, https://doi.org/10.5194/bg-13-6519-2016, 2016
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The global atmospheric cycle of P is simulated accounting for natural and anthropogenic sources, acid dissolution of dust aerosol and changes in atmospheric acidity. Simulations show that P-containing dust dissolution flux may have increased in the last 150 years but is expected to decrease in the future, and biological particles are important carriers of bioavailable P to the ocean. These insights to the P cycle have important implications for marine ecosystem responses to climate change.
Timothée Bourgeois, James C. Orr, Laure Resplandy, Jens Terhaar, Christian Ethé, Marion Gehlen, and Laurent Bopp
Biogeosciences, 13, 4167–4185, https://doi.org/10.5194/bg-13-4167-2016, https://doi.org/10.5194/bg-13-4167-2016, 2016
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The global coastal ocean took up 0.1 Pg C yr−1 of anthropogenic carbon during 1993–2012 based on new biogeochemical simulations with an eddying 3-D global model. That is about half of the most recent estimate, an extrapolation based on surface areas. It should not be confused with the continental shelf pump, perhaps 10 times larger, which includes natural as well as anthropogenic carbon. Coastal uptake of anthropogenic carbon is limited by its offshore transport.
Corinne Le Quéré, Erik T. Buitenhuis, Róisín Moriarty, Séverine Alvain, Olivier Aumont, Laurent Bopp, Sophie Chollet, Clare Enright, Daniel J. Franklin, Richard J. Geider, Sandy P. Harrison, Andrew G. Hirst, Stuart Larsen, Louis Legendre, Trevor Platt, I. Colin Prentice, Richard B. Rivkin, Sévrine Sailley, Shubha Sathyendranath, Nick Stephens, Meike Vogt, and Sergio M. Vallina
Biogeosciences, 13, 4111–4133, https://doi.org/10.5194/bg-13-4111-2016, https://doi.org/10.5194/bg-13-4111-2016, 2016
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We present a global biogeochemical model which incorporates ecosystem dynamics based on the representation of ten plankton functional types, and use the model to assess the relative roles of iron vs. grazing in determining phytoplankton biomass in the Southern Ocean. Our results suggest that observed low phytoplankton biomass in the Southern Ocean during summer is primarily explained by the dynamics of the Southern Ocean zooplankton community, despite iron limitation of phytoplankton growth.
R. Pereira, K. Schneider-Zapp, and R. C. Upstill-Goddard
Biogeosciences, 13, 3981–3989, https://doi.org/10.5194/bg-13-3981-2016, https://doi.org/10.5194/bg-13-3981-2016, 2016
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Understanding controls of air–sea gas exchange is necessary for predicting regional- and global-scale trace gas fluxes and feedbacks. Recent studies demonstrated the importance of surfactants, which occur naturally in the uppermost layer of coastal water bodies, to suppress the gas transfer velocity (kw). Here we present data for seawater samples collected from the North Sea. Using a novel analytical approach we show a strong seasonal and spatial relationship between natural surfactants and kw.
Melissa L. Breeden and Galen A. McKinley
Biogeosciences, 13, 3387–3396, https://doi.org/10.5194/bg-13-3387-2016, https://doi.org/10.5194/bg-13-3387-2016, 2016
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Natural variability of the North Atlantic carbon cycle is modeled for 1948–2009. The dominant mode of surface ocean CO2 variability is associated with sea surface temperature (SST) variability composed of (a) the Atlantic Multidecadal Oscillation (AMO) and (b) a positive SST trend. In the subpolar gyre, positive AMO is associated with reduced vertical mixing that lowers pCO2. In the subtropical gyre, AMO-associated warming increases pCO2. Since 1980, the SST trend has amplified AMO impacts.
Cited articles
Anderson, L. G., Jutterström, S., Hjalmarsson, S., Wåhlström,
I., and Semiletov, I. P.: Out-gassing of CO2 from Siberian Shelf seas
by terrestrial organic matter decomposition, Geophys. Res. Lett., 36,
L20601, https://doi.org/10.1029/2009GL040046, 2009.
Ardyna, M., Babin, M., Gosselin, M., Devred, E., Rainville, L., and
Tremblay, J.-É.: Recent Arctic Ocean sea ice loss triggers novel fall
phytoplankton blooms, Geophys. Res. Lett., 41, 6207–6212,
https://doi.org/10.1002/2014GL061047, 2014.
Arrigo, K. R. and van Dijken, G. L.: Annual cycles of sea ice and
phytoplankton near Cape Bathurst, southeastern Beaufort Sea, Canadian
Arctic, Geophys. Res. Lett., 31, L08304, https://doi.org/10.1029/2003GL018978, 2004.
Assmy P. M. Fernandez-Mendez, Duarte, P., Meyer, A., Randelhoff, A., Mundy,
C. J., Olsen, L. M., Kauko, H. M., Bailey, A., Chierici, M., Cohen, L.,
Doulgeris, A. P., Ehn, J. K., Fransson, A., Gerland, S., Hop, H., Hudson, S.
R., Hughes, N., Itkin, P., Johnsen, G., King, J. A., Koch, B. P. , Koenig,
Z., Kwasniewski, S., Laney, S. R., Nicolaus, M., Pavlov, A. K., Polashenski,
C. M., Provost, C., Rösel, A., Sandbu, M., Spreen, G., Smedsrud, L. H.,
Sundfjord, A., Taskjelle, T., Tatarek, A., Wiktor, J., Wagner, P. M., Wold,
A., Steen, H., and Granskog, M. A.: Leads in Arctic pack ice enable early
phytoplankton blooms below snow-covered sea ice, Scientific Report, 7, 40850,
https://doi.org/10.1038/srep40850, 2017.
Bakker, D. C. E., Pfeil, B., Smith, K., Hankin, S., Olsen, A., Alin, S. R., Cosca, C.,
Harasawa, S., Kozyr, A., Nojiri, Y., O'Brien, K. M., Schuster, U., Telszewski, M.,
Tilbrook, B., Wada, C., Akl, J., Barbero, L., Bates, N. R., Boutin, J., Bozec, Y.,
Cai, W.-J., Castle, R. D., Chavez, F. P., Chen, L., Chierici, M., Currie, K.,
de Baar, H. J. W., Evans, W., Feely, R. A., Fransson, A., Gao, Z., Hales, B.,
Hardman-Mountford, N. J., Hoppema, M., Huang, W.-J., Hunt, C. W.,
Huss, B., Ichikawa, T., Johannessen, T., Jones, E. M., Jones, S. D., Jutterström, S.,
Kitidis, V., Körtzinger, A., Landschützer, P., Lauvset, S. K., Lefèvre, N., Manke, A. B.,
Mathis, J. T., Merlivat, L., Metzl, N., Murata, A., Newberger, T., Omar, A. M., Ono, T.,
Park, G.-H., Paterson, K., Pierrot, D., Ríos, A. F., Sabine, C. L., Saito, S.,
Salisbury, J., Sarma, V. V. S. S., Schlitzer, R., Sieger, R., Skjelvan, I.,
Steinhoff, T., Sullivan, K. F., Sun, H., Sutton, A. J., Suzuki, T., Sweeney, C.,
Takahashi, T., Tjiputra, J., Tsurushima, N., van Heuven, S. M. A. C.,
Vandemark, D., Vlahos, P., Wallace, D. W. R., Wanninkhof, R., and Watson, A. J.:
An update to the Surface Ocean CO2 Atlas (SOCAT version 2), Earth Syst. Sci. Data, 6, 69–90, https://doi.org/10.5194/essd-6-69-2014, 2014.
Bakker, D. C. E., Pfeil, B., Landa, C. S., Metzl, N., O'Brien, K. M., Olsen, A.,
Smith, K., Cosca, C., Harasawa, S., Jones, S. D., Nakaoka, S.-I., Nojiri, Y.,
Schuster, U., Steinhoff, T., Sweeney, C., Takahashi, T., Tilbrook, B., Wada, C.,
Wanninkhof, R., Alin, S. R., Balestrini, C. F., Barbero, L., Bates, N. R., Bianchi, A. A.,
Bonou, F., Boutin, J., Bozec, Y., Burger, E. F., Cai, W.-J., Castle, R. D., Chen, L.,
Chierici, M., Currie, K., Evans, W., Featherstone, C., Feely, R. A., Fransson, A.,
Goyet, C., Greenwood, N., Gregor, L., Hankin, S., Hardman-Mountford, N. J.,
Harlay, J., Hauck, J., Hoppema, M., Humphreys, M. P., Hunt, C. W., Huss, B.,
Ibánhez, J. S. P., Johannessen, T., Keeling, R., Kitidis, V., Körtzinger, A.,
Kozyr, A., Krasakopoulou, E., Kuwata, A., Landschützer, P., Lauvset, S. K., Lefèvre, N.,
Lo Monaco, C., Manke, A., Mathis, J. T., Merlivat, L., Millero, F. J., Monteiro, P. M. S.,
Munro, D. R., Murata, A., Newberger, T., Omar, A. M., Ono, T., Paterson, K.,
Pearce, D., Pierrot, D., Robbins, L. L., Saito, S., Salisbury, J., Schlitzer, R.,
Schneider, B., Schweitzer, R., Sieger, R., Skjelvan, I., Sullivan, K. F.,
Sutherland, S. C., Sutton, A. J., Tadokoro, K., Telszewski, M., Tuma, M.,
van Heuven, S. M. A. C., Vandemark, D., Ward, B., Watson, A. J., and Xu, S.:
A multi-decade record of high-quality fCO2 data in version 3 of the
Surface Ocean CO2 Atlas (SOCAT), Earth Syst. Sci. Data, 8, 383–413, https://doi.org/10.5194/essd-8-383-2016, 2016.
Bates, N. R. and Mathis, J. T.: The Arctic Ocean marine carbon cycle: evaluation of
air–sea CO2 exchanges, ocean acidification impacts and potential
feedbacks, Biogeosciences, 6, 2433–2459, https://doi.org/10.5194/bg-6-2433-2009, 2009.
Bates, N. R., Moran, S. B., Hansell, D. A., and Mathis, J. T.: An increasing
CO2 sink in the Arctic Ocean due to sea-ice loss, Geophys. Res. Lett.,
33, L23609, https://doi.org/10.1029/2006GL027028, 2006.
Bates, N. R., Garley, R., Frey, K. E., Shake, K. L., and Mathis, J. T.:
Sea-ice melt CO2-carbonate chemistry in the western Arctic Ocean:
meltwater contributions to air–sea CO2 gas exchange, mixed-layer
properties and rates of net community production under sea
ice, Biogeosciences, 11, 6769–6789, https://doi.org/10.5194/bg-11-6769-2014, 2014.
Boyer, T. P., Antonov, J. I., Baranova, O. K., Coleman, C., Garcia, H. E.,
Grodsky, A., Johnson, D. R., Locarnini, R. A., Mishonov, A. V., O'Brien, T.
D., Paver, C. R., Reagan, J. R., Seidov, D., Smolyar, I. V., and Zweng, M.
M.: World Ocean Database 2013, Sydney Levitus, edited by: Mishonov, A.,
NOAA Atlas NESDIS 72, 209 pp., 2013.
Butterworth, B. J. and Miller, S. D.: Air-sea exchange of carbon dioxide in
the Southern Ocean and Antarctic marginal ice zone, Geophys. Res. Lett., 43,
7223–7230, https://doi.org/10.1002/2016GL069581, 2016.
Cai, W. J., Chen, L. Q., Chen, B. S., Gao, Z. Y., Lee, S. H., Chen, J. F.,
Pierrot, D., Sullivan, K., Wang, Y.C., Hu, X. P., Huang, W. J., Zhang, Y.
H., Xu, S. Q., Murata, A., Grebmeier, J. M., Jones, E. P., and Zhang, H. S.:
Decrease in the CO2 uptake capacity in an ice-free Arctic Ocean
Basin,
Science, 329, 556–559, https://doi.org/10.1126/science.1189338, 2010.
Cavalieri, D. J., Gloersen, P., and Campbell, W. J.: Determination of sea
ice parameters with the NIMBUS-7 SMMR, J. Geophys. Res., 89, 5355–5369,
1984.
Chierici, M., Olsen, A., Johannessen, T., Trinañes, J., and Wanninkhof, R.:
Algorithms to estimate CO2 in the northern North Atlantic using
observations, satellite and ocean analysis data, Deep-Sea Res. II, 56,
630–639, https://doi.org/10.1016/j.dsr2.2008.12.014, 2009.
Chierici, M., Fransson, A., Lansard, B., Miller, L. A., Mucci, A., Shadwick,
E., Thomas, H., Tremblay, J.-E., and Papakyriakou, T.: The impact of
biogeochemical processes and environmental factors on the calcium carbonate
saturation state in the Circumpolar Flaw Lead in the Amundsen Gulf, Arctic
Ocean, J. Geophys. Res., 116, C00G09, https://doi.org/10.1029/2011JC007184, 2011.
Conway, T. J., Tans, P. P., Waterman, L. S., Thoning, K. W., Kitzis, D. R.,
Masarie, K. A., and Zhang, N.: Evidence for interannual variability of the
carbon cycle from the NOAA/CMDL global air sampling network, J. Geophys.
Res., 99, 22831–22855, 1994.
Cota, G. F., Wang, J., and Comiso, J. C.: Transformation of global satellite
chlorophyll retrievals with a regionally tuned algorithm, Remote Sens.
Environ. 89, 326–350, https://doi.org/10.1016/j.rse.2004.01.005, 2004.
Dickson, A. G.: Standard potential of the reaction: AgCl(s) + 1/2H2(g) = Ag(s) + HCl(aq), and the standard acidity constant of
the ion HSO
Else, B. G. T., Galley, R. J., Lansard, B., Barber, D. G., Brown, K.,
Miller, L. A., Mucci, A., Papakyriakou, T. N., Tremblay, J.-É., and
Rysgaard, S.: Further observations of a decreasing atmospheric CO2
uptake capacity in the Canada Basin (Arctic Ocean) due to sea ice loss,
Geophys. Res. Lett., 40, 1132–1137, https://doi.org/10.1002/grl.50268, 2013.
Fransson, A., Chierici, M., Skjelvan, I., Olsen, A., Assmy, P., Peterson, A.
K., Spreen, G., and Ward, B.: Effects of sea-ice and biogeochemical
processes and storms on under-ice water fCO2 during the winter-spring
transition in the high Arctic Ocean: Implications for sea-air CO2
fluxes, J. Geophys. Res., 122, 5566–5587, https://doi.org/10.1002/2016JC012478, 2017.
Gao, Z., Chen, L., Sun, H., Chen, B., and Cai, W.-J.: Distributions and
air–sea fluxes of carbon dioxide in the Western Arctic Ocean, Deep-Sea Res.
II, 81–84, 46–52, https://doi.org/10.1016/j.dsr2.2012.08.021, 2012.
Gloersen, P., Campbell, W. J., Cavalieri, D. J., Comiso, J. C., Parkinson,
C. L., and Zwally, H. J.: Arctic and Antarctic sea ice, 1978–1987:
Satellite passive-microwave observations and analysis, NASA Spec. Publ.,
511, 290 pp., 1993.
Gosselin, M., Levasseur, M., Wheeler, P. A., Horner, R. A., and Booth, B. C.:
New measurements of phytoplankton and ice algal production in the Arctic
Ocean, Deep-Sea Res. II, 44, 1623–1644, https://doi.org/10.1016/S0967-0645(97)00054-4,
1997.
Gruber, N. , Gloor, M., Mikaloff Fletcher, S. E., Dutkiewicz, S., Follows, M., Doney, S. C.,
Gerber, M., Jacobson, A. R., Lindsay, K., Menemenlis, D., Mouchet, A., Mueller, S. A.,
Sarmiento, J. L., and Takahashi, T.: Oceanic sources and sinks for atmospheric CO2, Global Biogeochem. Cy., 23, GB1005, https://doi.org/10.1029/2008GB003349, 2009.
Harrison, W. G. and Cota., G. F.: Primary production in polar waters:
relation to nutrient availability, Polar Re., 10, 87–104,
https://doi.org/10.1111/j.1751-8369.1991.tb00637.x, 1991.
Hauri, C., Winsor, P., Juranek, L. W., McDonell, A. M. P., Takahashi, T., and
Mathis, J. T.: Wind-driven mixing causes a reduction in the strength of the
continental shelf carbon pump in the Chukchi Sea, Geophys. Res. Lett., 40,
5932–5936, https://doi.org/10.1002/2013GL058267, 2013.
Iida, T., Saitoh, S. I., Miyamura, T., Toratani, M., Fukushima, H., and
Shiga, N.: Temporal and spatial variability of coccolithophore blooms in the
eastern Bering Sea, 1998–2001, Prog. Oceanogr., 55, 165–175, 2002.
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L.,
Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M.,
Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K. C., Ropelewski, C., Wang,
J., Leetmaa, A., Reynolds, R., Jenne, R., and Joseph, D.: The NCEP/NCAR
40-Year Reanalysis Project, B. Am. Meteorol. Soc., 77, 437–71, 1996.
Kanamitsu, M., Ebisuzaki, W., Woollen, J., Yang, S.-K., Hnilo, J. J., Fiorino,
M., and Potter, G. L.: NCEP-DOE AMIP-II Reanalysis (R-2), B. Am.
Meteorol. Soc., 83, 1631–1643, 2002.
Key, R. M., Olsen, A., van Heuven, S., Lauvset, S. K., Velo, A., Lin, X.,
Schirnick, C., Kozyr, A., Tanhua, T., Hoppema, M., Jutterström, S.,
Steinfeldt, R., Jeansson, E., Ishii, M., Perez, F. F., and Suzuki, T.: Global
Ocean Data Analysis Project, Version 2 (GLODAPv2), ORNL/CDIAC-162, ND-P093,
Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory,
US Department of Energy, Oak Ridge, Tennessee, https://doi.org/10.3334/CDIAC/OTG.NDP093_GLODAPv2, 2015.
Landschützer, P., Gruber, N., Bakker, D. C. E., Schuster, U., Nakaoka, S., Payne, M. R.,
Sasse, T. P., and Zeng, J.: A neural network-based estimate of the seasonal
to inter-annual variability of the Atlantic Ocean carbon
sink, Biogeosciences, 10, 7793–7815, https://doi.org/10.5194/bg-10-7793-2013, 2013.
Landschützer, P., Gruber, N., Bakker, D. C. E., and Schuster, U.: Recent
variability of the global ocean carbon sink, Global Biogeochem. Cycles,
28, 927–949, https://doi.org/10.1002/2014GB004853, 2014.
Lefèvre, N., Watson, A. J., and Watson, A. R.: A comparison of multiple
regression and neural network techniques for mapping in situ pCO2 data,
Tellus B, 57, 375–384, https://doi.org/10.1111/j.1600-0889.2005.00164.x, 2005.
Le Quéré, C., Andrew, R. M., Canadell, J. G., Sitch, S., Korsbakken, J. I.,
Peters, G. P., Manning, A. C., Boden, T. A., Tans, P. P., Houghton, R. A.,
Keeling, R. F., Alin, S., Andrews, O. D., Anthoni, P., Barbero, L., Bopp, L.,
Chevallier, F., Chini, L. P., Ciais, P., Currie, K., Delire, C., Doney, S. C.,
Friedlingstein, P., Gkritzalis, T., Harris, I., Hauck, J., Haverd, V.,
Hoppema, M., Klein Goldewijk, K., Jain, A. K., Kato, E., Körtzinger, A.,
Landschützer, P., Lefèvre, N., Lenton, A., Lienert, S., Lombardozzi, D.,
Melton, J. R., Metzl, N., Millero, F., Monteiro, P. M. S., Munro, D. R., Nabel, J. E. M. S.,
Nakaoka, S.-I., O'Brien, K., Olsen, A., Omar, A. M., Ono, T., Pierrot, D.,
Poulter, B., Rödenbeck, C., Salisbury, J., Schuster, U., Schwinger, J., Séférian, R.,
Skjelvan, I., Stocker, B. D., Sutton, A. J., Takahashi, T., Tian, H., Tilbrook, B.,
van der Laan-Luijkx, I. T., van der Werf, G. R., Viovy, N., Walker, A. P., Wiltshire, A. J.,
and Zaehle, S.: Global Carbon Budget 2016, Earth Syst. Sci. Data, 8, 605–649, https://doi.org/10.5194/essd-8-605-2016, 2016.
Lewis, E. and Wallace, D. W. R.: Program Developed for CO2 System
Calculations. ORNL/CDIAC-105. Carbon Dioxide Information Analysis Center,
Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge,
Tennessee, 1998.
Lewis, K. M., Mitchell, B. G., van Dijken, G. L., and Arrigo, K. R.: Regional
chlorophyll a algorithms in the Arctic Ocean and their effect on
satellite-derived primary production estimates, Deep-Sea Res. II, 130,
17–24, https://doi.org/10.1016/j.dsr2.2016.04.020, 2016.
Loose, B., McGillis, W. R., Schlosser, P., Perovich, D., and Takahashi, T.:
Effects of freezing, growth, and ice cover on gas transport processes in
laboratory seawater experiments, Geophys. Res. Lett., 36, L05603,
https://doi.org/10.1029/2008GL036318, 2009.
Lueker, T. J., Dickson, A. G., and Keeling, C. D.: Ocean pCO2
calculated from dissolved inorganic carbon, alkalinity, and equations for K1
and K2: validation based on laboratory measurements of CO2 in gas and
seawater at equilibrium, Mar. Chem., 70, 105–119, 2000.
Manizza, M., Follows, M. J., Dutkiewicz, S., Menemenlis, D., McClelland, J.
W., Hill, C. N., Peterson, B. J., and Key, R. M.: A model of the Arctic Ocean
carbon cycle, J. Geophys. Res., 116, C12020, https://doi.org/10.1029/2011JC006998, 2011.
Maréchal, D.: A soil-based approach to rainfall-runoff modelling in
ungauged catchments for England and Wales, PhD thesis, Cranfield University,
UK, 157 pp., 2004.
Maritorena, S., d'Andon, O. H. F., Mangin, A., and Siegel, D. A.: Merged
satellite ocean color data products using a bio-optical model:
Characteristics, benefits and issues, Remote Sens. Environ., 114,
1791–1804, https://doi.org/10.1016/j.rse.2010.04.002, 2010.
Matsuoka, A., Huot, Y., Shimada, K., Saitoh, S., and Babin, M.: Bio-optical
characteristics of the western Arctic Ocean: Implications for ocean color
algorithms, Can. J. Remote Sens., 33, 503–518, https://doi.org/10.5589/m07-059,
2007.
Meier, W., Fetterer, F., Savoie, M., Mallory, S., Duerr, R., and Stroeve,
J.: NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice
Concentration, Version 2, Boulder, Colorado USA, National Snow and Ice Data
Center, https://doi.org/10.7265/N55M63M1, 2013.
Moore, T. S., Dowell, M. D., and Franz, B. A.: Detection of coccolithophore
blooms in ocean color satellite imagery: A generalized approach for use with
multiple sensors, Remote Sens. Environ., 117, 249–263, https://doi.org/10.1016/j.rse.2011.10.001, 2012.
Mucci, A., Lansard, B., Miller, L. A., and Papakyriakou, T. N.: CO2
fluxes across the air-sea interface in the southeastern Beaufort Sea:
Ice-free period, J. Geophys. Res., 115, C04003, https://doi.org/10.1029/2009JC005330,
2010.
Murata, A.: Increased surface seawater pCO2 in the eastern Bering Sea
shelf: An effect of blooms of coccolithophorid Emiliania huxleyi?, Global Biogeochem. Cycles,
20, GB4006, https://doi.org/10.1029/2005GB002615, 2006.
Murray, F. W.: On the computation of saturation vapor pressure, J. Appl. Meteorol., 6, 203–204, 1967.
Nakaoka, S., Telszewski, M., Nojiri, Y., Yasunaka, S., Miyazaki, C., Mukai, H.,
and Usui, N.: Estimating temporal and spatial variation of ocean surface pCO2
in the North Pacific using a self-organizing map neural network
technique, Biogeosciences, 10, 6093–6106, https://doi.org/10.5194/bg-10-6093-2013, 2013.
Olsen, A., Brown, K. R., Chierici, M., Johannessen, T., and Neill, C.:
Sea-surface CO2 fugacity in the subpolar North Atlantic, Biogeosciences, 5, 535–547, https://doi.org/10.5194/bg-5-535-2008, 2008.
Olsen, A., Key, R. M., van Heuven, S., Lauvset, S. K., Velo, A., Lin, X.,
Schirnick, C., Kozyr, A., Tanhua, T., Hoppema, M., Jutterström, S., Steinfeldt, R.,
Jeansson, E., Ishii, M., Pérez, F. F., and Suzuki, T.: The Global Ocean
Data Analysis Project version 2 (GLODAPv2) – an internally consistent data product
for the world ocean, Earth Syst. Sci. Data, 8, 297–323, https://doi.org/10.5194/essd-8-297-2016, 2016.
O'Reilly, J. E., Maritorena, S., Mitchell, B. G., Siegel, D. A., Carder, K.
L., Garver, S. A., Kahru, M., and McClain, C.: Ocean color chlorophyll
algorithms for SeaWiFS, J. Geophys. Res., 103, 24937–24953,
https://doi.org/10.1029/98JC02160, 1998.
Pabi, S., van Dijken, G. L., and Arrigo, K. R.: Primary production in
the Arctic Ocean, 1998–2006, J. Geophys. Res., 113, C08005, https://doi.org/10.1029/2007JC004578, 2008.
Peng, G., Meier, W. N., Scott, D. J., and Savoie, M. H.: A long-term and reproducible
passive microwave sea ice concentration data record for climate
studies and monitoring, Earth Syst. Sci. Data, 5, 311–318, https://doi.org/10.5194/essd-5-311-2013, 2013.
Perrette, M., Yool, A., Quartly, G. D., and Popova, E. E.: Near-ubiquity of
ice-edge blooms in the Arctic, Biogeosciences, 8, 515–524, https://doi.org/10.5194/bg-8-515-2011, 2011.
Popova, E. E., Yool, A., Coward, A. C., Dupont, F., Deal, C., Elliott, S.,
Hunke, E., Jin, M., Steele, M., and Zhang, J.: What controls primary
production in the Arctic Ocean? Results from an intercomparison of five
general circulation models with biogeochemistry, J. Geophys. Res., 117,
C00D12, https://doi.org/10.1029/2011JC007112, 2012.
Reynolds, R. W., Rayner, N. A., Smith, T. M., Stokes, D. C., and Wang, W.:
An improved in situ and satellite SST analysis for climate, J. Climate, 15,
1609–1625, 2002.
Schuster, U., McKinley, G. A., Bates, N., Chevallier, F., Doney, S. C., Fay, A. R.,
González-Dávila, M., Gruber, N., Jones, S., Krijnen, J., Landschützer, P.,
Lefèvre, N., Manizza, M., Mathis, J., Metzl, N., Olsen, A., Rios, A. F.,
Rödenbeck, C., Santana-Casiano, J. M., Takahashi, T., Wanninkhof, R.,
and Watson, A. J.: An assessment of the Atlantic and Arctic sea–air CO2
fluxes, 1990–2009, Biogeosciences, 10, 607–627, https://doi.org/10.5194/bg-10-607-2013, 2013.
Semiletov, I., Makshtas, A., Akasofu, S.-I., and Andreas, E. L: Atmospheric
CO2 balance: The role of Arctic sea ice, Geophys. Res. Lett., 31,
L05121, https://doi.org/10.1029/2003GL017996, 2004.
Semiletov, I. P., Pipko, I. I., Repina, I., and Shakhova, N. E.: Carbonate
chemistry dynamics and carbon dioxide fluxes across the
atmosphere–ice–water interfaces in the Arctic Ocean: Pacific sector of the
Arctic, J. Mar. Syst., 66, 204–226, https://doi.org/10.1016/j.jmarsys.2006.05.012,
2007.
Shutler, J. D., Land, P. E., Brown, C. W., Findlay, H. S., Donlon, C. J., Medland, M.,
Snooke, R., and Blackford, J. C.: Coccolithophore surface distributions
in the North Atlantic and their modulation of the air–sea flux of CO2 from 10 years of
satellite Earth observation data, Biogeosciences, 10, 2699–2709, https://doi.org/10.5194/bg-10-2699-2013, 2013.
Signorini, S. R. and McClain, C. R.: Effect of uncertainties in
climatologic wind, ocean pCO2, and gas transfer algorithms on the
estimate of global sea-air CO2 flux, Global Biogeochem. Cycles, 23,
GB2025, https://doi.org/10.1029/2008GB003246, 2009.
Siswanto, E., Tang, J., Ahn, Y.-H., Ishizaka, J., Yoo, S., Kim, S.-W.,
Kiyomoto, Y., Yamada, K., Chiang, C., and Kawamura, H.: Empirical ocean
color algorithms to retrieve chlorophyll a, total suspended matter, and
colored dissolved organic matter absorption coefficient in the Yellow and
East China Seas, J. Oceanogr., 67, 627, https://doi.org/10.1007/s10872-011-0062-z, 2011.
Siswanto, E., Ishizaka, J., Tripathy, S. C., and Miyamura, K.: Detection of
harmful algal blooms of Karenia mikimotoi using MODIS measurements: a case study of
Seto-Inland Sea, Japan, Remote Sens. Environ., 129, 185–196,
https://doi.org/10.1016/j.rse.2012.11.003, 2013.
Smyth, T. J., Tyrrell, T., and Tarrant, B.: Time series of coccolithophore
activity in the Barents Sea, from twenty years of satellite imagery,
Geophys. Res. Lett., 31, L11302, https://doi.org/10.1029/2004GL019735, 2004.
Steele, M., Morley, R., and Ermold, W.: PHC: A global ocean hydrography with
a high quality Arctic Ocean, J. Climate, 14, 2079–2087, 2001.
Sweeney, C., Gloor, E., Jacobson, A. R., Key, R. M., McKinley, G.,
Sarmiento, J. L., and Wanninkhof, R.: Constraining global air-sea gas
exchange for CO2 with recent bomb 14C measurements, Global
Biogeochem. Cycles, 21, GB2015, https://doi.org/10.1029/2006GB002784, 2007.
Takahashi, T., Sutherland, S. C., Wanninkhof, R., Sweeney, C., Feely, R. A.,
Chipman, D. W., Hales, B., Friederich, G., Chavez, F., Sabine, C., Watson,
A., Bakker, D. C. E., Schuster, U., Metzl, N., Yoshikawa-Inoue, H., Ishii,
M., Midorikawa, T., Nojiri, Y., Körtzinger, A., Steinhoff, T., Hoppema,
M., Olafsson, J., Arnarson, T. S., Tilbrook, B., Johannessen, T., Olsen, A.,
Bellerby, R., Wong, C. S., Delille, B., Bates, N. R., and de Baar, H. J. W.:
Climatological mean and decadal changes in surface ocean pCO2, and net
sea–air CO2 flux over the global oceans, Deep-Sea Res. II, 56,
554–577, 2009.
Takahashi, T., Sutherland, S. C., and Kozyr, A.: Global Ocean Surface Water
Partial Pressure of CO2 Database: Measurements Performed During
1957–2014 (Version 2014). ORNL/CDIAC-160, NDP-088(V2014), Carbon Dioxide
Information Analysis Center, Oak Ridge National Laboratory, U.S. Department
of Energy, Oak Ridge, Tennessee, https://doi.org/10.3334/CDIAC/OTG.NDP088(V2014), 2015.
Tassan, S.: Local algorithms using SeaWiFS data for the retrieval of
phytoplankton, pigments, suspended sediment, and yellow substance in coastal
waters, Appl. Optics, 33, 2369–2378, https://doi.org/10.1364/AO.33.002369, 1994.
Telszewski, M., Chazottes, A., Schuster, U., Watson, A. J., Moulin, C.,
Bakker, D. C. E., González-Dávila, M., Johannessen, T., Körtzinger, A.,
Lüger, H., Olsen, A., Omar, A., Padin, X. A., Ríos, A. F.,
Steinhoff, T., Santana-Casiano, M., Wallace, D. W. R., and Wanninkhof, R.:
Estimating the monthly pCO2 distribution in the North Atlantic using a self-organizing
neural network, Biogeosciences, 6, 1405–1421, https://doi.org/10.5194/bg-6-1405-2009, 2009.
Ulfsbo, A., Cassar, N., Korhonen, M., van Heuven, S., Hoppema, M., Kattner,
G., and Anderson, G. L.: Late summer net community production in the central
Arctic Ocean using multiple approaches, Global Biogeochem. Cycles, 28,
1129–1148, https://doi.org/10.1002/2014GB004833, 2014.
van Heuven, S., Pierrot, D., Lewis, E., and Wallace, D. W. R.: MATLAB
Program Developed for CO2 System Calculations, ORNL/CDIAC-105b. Carbon
Dioxide Information Analysis Center, Oak Ridge National Laboratory, US
Department of Energy, Oak Ridge, Tennessee, 2009.
Wanninkhof, R.: Relationship between wind speed and gas exchange over the
ocean, J. Geophys. Res., 97, 7373–7382, https://doi.org/10.1029/92JC00188,
1992.
Wanninkhof, R.: Relationship between wind speed and gas exchange over the
ocean revisited, Limnol. Oceanogr.-Methods, 12, 351–362, 2014.
Wanninkhof, R., Park, G.-H., Takahashi, T., Sweeney, C., Feely, R., Nojiri, Y.,
Gruber, N., Doney, S. C., McKinley, G. A., Lenton, A., Le Quéré, C., Heinze, C.,
Schwinger, J., Graven, H., and Khatiwala, S.: Global ocean carbon uptake:
magnitude, variability and trends, Biogeosciences, 10, 1983–2000, https://doi.org/10.5194/bg-10-1983-2013, 2013.
Weiss, R. F.: Carbon dioxide in water and seawater: the solubility of a
non-ideal gas, Mar. Chem., 2, 203–215, 1974.
Yasunaka, S., Nojiri, Y., Nakaoka, S., Ono, T., Whitney, F. A., and
Telszewski, M.: Mapping of sea surface nutrients in the North Pacific:
Basin-wide distribution and seasonal to interannual variability, J. Geophys.
Res.-Oceans, 119, 7756–7771, https://doi.org/10.1002/2014JC010318, 2014.
Yasunaka, S., Murata, A., Watanabe, E., Chierici, M., Fransson, A., van
Heuven, S., Hoppema, M., Ishii, M., Johannessen, T., Kosugi, N., Lauvset, S.
K., Mathis, J. T., Nishino, S., Omar, A. M., Olsen, A., Sasano, D.,
Takahashi, T., and Wanninkhof, R.: Mapping of the air–sea CO2 flux in
the Arctic Ocean and its adjacent seas: basin-wide distribution and seasonal
to interannual variability, Polar Sci., 10, 323–334,
https://doi.org/10.1016/j.polar.2016.03.006, 2016.
Yasunaka, S.: CO2 flux v.2, available at: http://www.jamstec.go.jp/res/ress/yasunaka/co2flux/, last access: 5 March 2018.
Zeng, J., Nojiri, Y., Landschützer, P., Telszewski, M., and Nakaoka, S.: A
global surface ocean fCO2 climatology based on a feed-forward neural
network, J. Atmos. Ocean Technol., 31, 1838–1849,
https://doi.org/10.1175/JTECH-D-13-00137.1, 2014.
Short summary
We estimated monthly air–sea CO2 fluxes in the Arctic Ocean and its adjacent seas north of 60° N from 1997 to 2014, after mapping pCO2 in the surface water using a self-organizing map technique. The addition of Chl a as a parameter enabled us to improve the estimate of pCO2 via better representation of its decline in spring. The uncertainty in the CO2 flux estimate was reduced, and a net annual Arctic Ocean CO2 uptake of 180 ± 130 Tg C y−1 was determined to be significant.
We estimated monthly air–sea CO2 fluxes in the Arctic Ocean and its adjacent seas north of...
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