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.
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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Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Judith Hauck, Peter Landschützer, Corinne Le Quéré, Hongmei Li, Ingrid T. Luijkx, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone R. Alin, Almut Arneth, Vivek Arora, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Carla F. Berghoff, Henry C. Bittig, Laurent Bopp, Patricia Cadule, Katie Campbell, Matthew A. Chamberlain, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Thomas Colligan, Jeanne Decayeux, Laique M. Djeutchouang, Xinyu Dou, Carolina Duran Rojas, Kazutaka Enyo, Wiley Evans, Amanda R. Fay, Richard A. Feely, Daniel J. Ford, Adrianna Foster, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Ian Harris, Matthew Hefner, Jens Heinke, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Andrew R. Jacobson, Atul K. Jain, Tereza Jarníková, Annika Jersild, Fei Jiang, Zhe Jin, Etsushi Kato, Ralph F. Keeling, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Xin Lan, Siv K. Lauvset, Nathalie Lefèvre, Zhu Liu, Junjie Liu, Lei Ma, Shamil Maksyutov, Gregg Marland, Nicolas Mayot, Patrick C. McGuire, Nicolas Metzl, Natalie M. Monacci, Eric J. Morgan, Shin-Ichiro Nakaoka, Craig Neill, Yosuke Niwa, Tobias Nützel, Lea Olivier, Tsuneo Ono, Paul I. Palmer, Denis Pierrot, Zhangcai Qin, Laure Resplandy, Alizée Roobaert, Thais M. Rosan, Christian Rödenbeck, Jörg Schwinger, T. Luke Smallman, Stephen M. Smith, Reinel Sospedra-Alfonso, Tobias Steinhoff, Qing Sun, Adrienne J. Sutton, Roland Séférian, Shintaro Takao, Hiroaki Tatebe, Hanqin Tian, Bronte Tilbrook, Olivier Torres, Etienne Tourigny, Hiroyuki Tsujino, Francesco Tubiello, Guido van der Werf, Rik Wanninkhof, Xuhui Wang, Dongxu Yang, Xiaojuan Yang, Zhen Yu, Wenping Yuan, Xu Yue, Sönke Zaehle, Ning Zeng, and Jiye Zeng
Earth Syst. Sci. Data, 17, 965–1039, https://doi.org/10.5194/essd-17-965-2025, https://doi.org/10.5194/essd-17-965-2025, 2025
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Julius Lauber, Tore Hattermann, Laura de Steur, Elin Darelius, and Agneta Fransson
Ocean Sci., 20, 1585–1610, https://doi.org/10.5194/os-20-1585-2024, https://doi.org/10.5194/os-20-1585-2024, 2024
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Recent studies have highlighted the potential vulnerability of the East Antarctic Ice Sheet to atmospheric and oceanic changes. We present new insights from observations from three oceanic moorings below Fimbulisen Ice Shelf from 2009 to 2023. We find that relatively warm water masses reach below the ice shelf both close to the surface and at depth with implications for the basal melting of Fimbulisen.
Nil Irvalı, Ulysses S. Ninnemann, Are Olsen, Neil L. Rose, David J. R. Thornalley, Tor L. Mjell, and François Counillon
Geochronology, 6, 449–463, https://doi.org/10.5194/gchron-6-449-2024, https://doi.org/10.5194/gchron-6-449-2024, 2024
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Marine sediments are excellent archives for reconstructing past changes in climate and ocean circulation. Yet, dating uncertainties, particularly during the 20th century, pose major challenges. Here we propose a novel chronostratigraphic approach that uses anthropogenic signals, such as the oceanic 13C Suess effect and spheroidal carbonaceous fly-ash particles, to reduce age model uncertainties in high-resolution marine archives over the 20th century.
Li-Qing Jiang, Tim P. Boyer, Christopher R. Paver, Hyelim Yoo, James R. Reagan, Simone R. Alin, Leticia Barbero, Brendan R. Carter, Richard A. Feely, and Rik Wanninkhof
Earth Syst. Sci. Data, 16, 3383–3390, https://doi.org/10.5194/essd-16-3383-2024, https://doi.org/10.5194/essd-16-3383-2024, 2024
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In this paper, we unveil a data product featuring ten coastal ocean acidification variables. These indicators are provided on 1°×1° spatial grids at 14 standardized depth levels, ranging from the surface to a depth of 500 m, along the North American ocean margins.
Amanda R. Fay, David R. Munro, Galen A. McKinley, Denis Pierrot, Stewart C. Sutherland, Colm Sweeney, and Rik Wanninkhof
Earth Syst. Sci. Data, 16, 2123–2139, https://doi.org/10.5194/essd-16-2123-2024, https://doi.org/10.5194/essd-16-2123-2024, 2024
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Presented here is a near-global monthly climatological estimate of the difference between atmosphere and ocean carbon dioxide concentrations. The ocean's ability to take up carbon, both now and in the future, is defined by this difference in concentrations. With over 30 million measurements of surface ocean carbon over the last 40 years and utilization of an extrapolation technique, a mean estimate of surface ocean ΔfCO2 is presented.
Siv K. Lauvset, Nico Lange, Toste Tanhua, Henry C. Bittig, Are Olsen, Alex Kozyr, Marta Álvarez, Kumiko Azetsu-Scott, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Mario Hoppema, Matthew P. Humphreys, Masao Ishii, Emil Jeansson, Akihiko Murata, Jens Daniel Müller, Fiz F. Pérez, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Adam Ulfsbo, Anton Velo, Ryan J. Woosley, and Robert M. Key
Earth Syst. Sci. Data, 16, 2047–2072, https://doi.org/10.5194/essd-16-2047-2024, https://doi.org/10.5194/essd-16-2047-2024, 2024
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GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by the chemical analysis of water bottle samples from scientific cruises. GLODAPv2.2023 is the fifth update of GLODAPv2 from 2016. The data that are included have been subjected to extensive quality controlling, including systematic evaluation of measurement biases. This version contains data from 1108 hydrographic cruises covering the world's oceans from 1972 to 2021.
Nico Lange, Björn Fiedler, Marta Álvarez, Alice Benoit-Cattin, Heather Benway, Pier Luigi Buttigieg, Laurent Coppola, Kim Currie, Susana Flecha, Dana S. Gerlach, Makio Honda, I. Emma Huertas, Siv K. Lauvset, Frank Muller-Karger, Arne Körtzinger, Kevin M. O'Brien, Sólveig R. Ólafsdóttir, Fernando C. Pacheco, Digna Rueda-Roa, Ingunn Skjelvan, Masahide Wakita, Angelicque White, and Toste Tanhua
Earth Syst. Sci. Data, 16, 1901–1931, https://doi.org/10.5194/essd-16-1901-2024, https://doi.org/10.5194/essd-16-1901-2024, 2024
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The Synthesis Product for Ocean Time Series (SPOTS) is a novel achievement expanding and complementing the biogeochemical data landscape by providing consistent and high-quality biogeochemical time-series data from 12 ship-based fixed time-series programs. SPOTS covers multiple unique marine environments and time-series ranges, including data from 1983 to 2021. All in all, it facilitates a variety of applications that benefit from the collective value of biogeochemical time-series observations.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Dorothee C. E. Bakker, Judith Hauck, Peter Landschützer, Corinne Le Quéré, Ingrid T. Luijkx, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone R. Alin, Peter Anthoni, Leticia Barbero, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Bertrand Decharme, Laurent Bopp, Ida Bagus Mandhara Brasika, Patricia Cadule, Matthew A. Chamberlain, Naveen Chandra, Thi-Tuyet-Trang Chau, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Xinyu Dou, Kazutaka Enyo, Wiley Evans, Stefanie Falk, Richard A. Feely, Liang Feng, Daniel J. Ford, Thomas Gasser, Josefine Ghattas, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Ian Harris, Matthew Hefner, Jens Heinke, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Andrew R. Jacobson, Atul Jain, Tereza Jarníková, Annika Jersild, Fei Jiang, Zhe Jin, Fortunat Joos, Etsushi Kato, Ralph F. Keeling, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Arne Körtzinger, Xin Lan, Nathalie Lefèvre, Hongmei Li, Junjie Liu, Zhiqiang Liu, Lei Ma, Greg Marland, Nicolas Mayot, Patrick C. McGuire, Galen A. McKinley, Gesa Meyer, Eric J. Morgan, David R. Munro, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin M. O'Brien, Are Olsen, Abdirahman M. Omar, Tsuneo Ono, Melf Paulsen, Denis Pierrot, Katie Pocock, Benjamin Poulter, Carter M. Powis, Gregor Rehder, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Thais M. Rosan, Jörg Schwinger, Roland Séférian, T. Luke Smallman, Stephen M. Smith, Reinel Sospedra-Alfonso, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Shintaro Takao, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Hiroyuki Tsujino, Francesco Tubiello, Guido R. van der Werf, Erik van Ooijen, Rik Wanninkhof, Michio Watanabe, Cathy Wimart-Rousseau, Dongxu Yang, Xiaojuan Yang, Wenping Yuan, Xu Yue, Sönke Zaehle, Jiye Zeng, and Bo Zheng
Earth Syst. Sci. Data, 15, 5301–5369, https://doi.org/10.5194/essd-15-5301-2023, https://doi.org/10.5194/essd-15-5301-2023, 2023
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The Global Carbon Budget 2023 describes the methodology, main results, and data sets used to quantify the anthropogenic emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, land ecosystems, and the ocean over the historical period (1750–2023). These living datasets are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Christoph Heinze, Thorsten Blenckner, Peter Brown, Friederike Fröb, Anne Morée, Adrian L. New, Cara Nissen, Stefanie Rynders, Isabel Seguro, Yevgeny Aksenov, Yuri Artioli, Timothée Bourgeois, Friedrich Burger, Jonathan Buzan, B. B. Cael, Veli Çağlar Yumruktepe, Melissa Chierici, Christopher Danek, Ulf Dieckmann, Agneta Fransson, Thomas Frölicher, Giovanni Galli, Marion Gehlen, Aridane G. González, Melchor Gonzalez-Davila, Nicolas Gruber, Örjan Gustafsson, Judith Hauck, Mikko Heino, Stephanie Henson, Jenny Hieronymus, I. Emma Huertas, Fatma Jebri, Aurich Jeltsch-Thömmes, Fortunat Joos, Jaideep Joshi, Stephen Kelly, Nandini Menon, Precious Mongwe, Laurent Oziel, Sólveig Ólafsdottir, Julien Palmieri, Fiz F. Pérez, Rajamohanan Pillai Ranith, Juliano Ramanantsoa, Tilla Roy, Dagmara Rusiecka, J. Magdalena Santana Casiano, Yeray Santana-Falcón, Jörg Schwinger, Roland Séférian, Miriam Seifert, Anna Shchiptsova, Bablu Sinha, Christopher Somes, Reiner Steinfeldt, Dandan Tao, Jerry Tjiputra, Adam Ulfsbo, Christoph Völker, Tsuyoshi Wakamatsu, and Ying Ye
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-182, https://doi.org/10.5194/bg-2023-182, 2023
Revised manuscript not accepted
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For assessing the consequences of human-induced climate change for the marine realm, it is necessary to not only look at gradual changes but also at abrupt changes of environmental conditions. We summarise abrupt changes in ocean warming, acidification, and oxygen concentration as the key environmental factors for ecosystems. Taking these abrupt changes into account requires greenhouse gas emissions to be reduced to a larger extent than previously thought to limit respective damage.
Foteini Stavropoulou, Katarina Vinković, Bert Kers, Marcel de Vries, Steven van Heuven, Piotr Korbeń, Martina Schmidt, Julia Wietzel, Pawel Jagoda, Jaroslav M. Necki, Jakub Bartyzel, Hossein Maazallahi, Malika Menoud, Carina van der Veen, Sylvia Walter, Béla Tuzson, Jonas Ravelid, Randulph Paulo Morales, Lukas Emmenegger, Dominik Brunner, Michael Steiner, Arjan Hensen, Ilona Velzeboer, Pim van den Bulk, Hugo Denier van der Gon, Antonio Delre, Maklawe Essonanawe Edjabou, Charlotte Scheutz, Marius Corbu, Sebastian Iancu, Denisa Moaca, Alin Scarlat, Alexandru Tudor, Ioana Vizireanu, Andreea Calcan, Magdalena Ardelean, Sorin Ghemulet, Alexandru Pana, Aurel Constantinescu, Lucian Cusa, Alexandru Nica, Calin Baciu, Cristian Pop, Andrei Radovici, Alexandru Mereuta, Horatiu Stefanie, Alexandru Dandocsi, Bas Hermans, Stefan Schwietzke, Daniel Zavala-Araiza, Huilin Chen, and Thomas Röckmann
Atmos. Chem. Phys., 23, 10399–10412, https://doi.org/10.5194/acp-23-10399-2023, https://doi.org/10.5194/acp-23-10399-2023, 2023
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In this study, we quantify CH4 emissions from onshore oil production sites in Romania at source and facility level using a combination of ground- and drone-based measurement techniques. We show that the total CH4 emissions in our studied areas are much higher than the emissions reported to UNFCCC, and up to three-quarters of the detected emissions are related to operational venting. Our results suggest that oil and gas production infrastructure in Romania holds a massive mitigation potential.
Alessandro Zanchetta, Linda M. J. Kooijmans, Steven van Heuven, Andrea Scifo, Hubertus A. Scheeren, Ivan Mammarella, Ute Karstens, Jin Ma, Maarten Krol, and Huilin Chen
Biogeosciences, 20, 3539–3553, https://doi.org/10.5194/bg-20-3539-2023, https://doi.org/10.5194/bg-20-3539-2023, 2023
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Carbonyl sulfide (COS) has been suggested as a tool to estimate carbon dioxide (CO2) uptake by plants during photosynthesis. However, understanding its sources and sinks is critical to preventing biases in this estimate. Combining observations and models, this study proves that regional sources occasionally influence the measurements at the 60 m tall Lutjewad tower (1 m a.s.l.; 53°24′ N, 6°21′ E) in the Netherlands. Moreover, it estimates nighttime COS fluxes to be −3.0 ± 2.6 pmol m−2 s−1.
Asmita Singh, Susanne Fietz, Sandy J. Thomalla, Nicolas Sanchez, Murat V. Ardelan, Sébastien Moreau, Hanna M. Kauko, Agneta Fransson, Melissa Chierici, Saumik Samanta, Thato N. Mtshali, Alakendra N. Roychoudhury, and Thomas J. Ryan-Keogh
Biogeosciences, 20, 3073–3091, https://doi.org/10.5194/bg-20-3073-2023, https://doi.org/10.5194/bg-20-3073-2023, 2023
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Despite the scarcity of iron in the Southern Ocean, seasonal blooms occur due to changes in nutrient and light availability. Surprisingly, during an autumn bloom in the Antarctic sea-ice zone, the results from incubation experiments showed no significant photophysiological response of phytoplankton to iron addition. This suggests that ambient iron concentrations were sufficient, challenging the notion of iron deficiency in the Southern Ocean through extended iron-replete post-bloom conditions.
Siv K. Lauvset, Nico Lange, Toste Tanhua, Henry C. Bittig, Are Olsen, Alex Kozyr, Simone Alin, Marta Álvarez, Kumiko Azetsu-Scott, Leticia Barbero, Susan Becker, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Richard A. Feely, Mario Hoppema, Matthew P. Humphreys, Masao Ishii, Emil Jeansson, Li-Qing Jiang, Steve D. Jones, Claire Lo Monaco, Akihiko Murata, Jens Daniel Müller, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Bronte Tilbrook, Adam Ulfsbo, Anton Velo, Ryan J. Woosley, and Robert M. Key
Earth Syst. Sci. Data, 14, 5543–5572, https://doi.org/10.5194/essd-14-5543-2022, https://doi.org/10.5194/essd-14-5543-2022, 2022
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GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by the chemical analysis of water bottle samples from scientific cruises. GLODAPv2.2022 is the fourth update of GLODAPv2 from 2016. The data that are included have been subjected to extensive quality controlling, including systematic evaluation of measurement biases. This version contains data from 1085 hydrographic cruises covering the world's oceans from 1972 to 2021.
Julian Gutt, Stefanie Arndt, David Keith Alan Barnes, Horst Bornemann, Thomas Brey, Olaf Eisen, Hauke Flores, Huw Griffiths, Christian Haas, Stefan Hain, Tore Hattermann, Christoph Held, Mario Hoppema, Enrique Isla, Markus Janout, Céline Le Bohec, Heike Link, Felix Christopher Mark, Sebastien Moreau, Scarlett Trimborn, Ilse van Opzeeland, Hans-Otto Pörtner, Fokje Schaafsma, Katharina Teschke, Sandra Tippenhauer, Anton Van de Putte, Mia Wege, Daniel Zitterbart, and Dieter Piepenburg
Biogeosciences, 19, 5313–5342, https://doi.org/10.5194/bg-19-5313-2022, https://doi.org/10.5194/bg-19-5313-2022, 2022
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Long-term ecological observations are key to assess, understand and predict impacts of environmental change on biotas. We present a multidisciplinary framework for such largely lacking investigations in the East Antarctic Southern Ocean, combined with case studies, experimental and modelling work. As climate change is still minor here but is projected to start soon, the timely implementation of this framework provides the unique opportunity to document its ecological impacts from the very onset.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Luke Gregor, Judith Hauck, Corinne Le Quéré, Ingrid T. Luijkx, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone R. Alin, Ramdane Alkama, Almut Arneth, Vivek K. Arora, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Henry C. Bittig, Laurent Bopp, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Wiley Evans, Stefanie Falk, Richard A. Feely, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Lucas Gloege, Giacomo Grassi, Nicolas Gruber, Özgür Gürses, Ian Harris, Matthew Hefner, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Atul K. Jain, Annika Jersild, Koji Kadono, Etsushi Kato, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Peter Landschützer, Nathalie Lefèvre, Keith Lindsay, Junjie Liu, Zhu Liu, Gregg Marland, Nicolas Mayot, Matthew J. McGrath, Nicolas Metzl, Natalie M. Monacci, David R. Munro, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin O'Brien, Tsuneo Ono, Paul I. Palmer, Naiqing Pan, Denis Pierrot, Katie Pocock, Benjamin Poulter, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Carmen Rodriguez, Thais M. Rosan, Jörg Schwinger, Roland Séférian, Jamie D. Shutler, Ingunn Skjelvan, Tobias Steinhoff, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Shintaro Takao, Toste Tanhua, Pieter P. Tans, Xiangjun Tian, Hanqin Tian, Bronte Tilbrook, Hiroyuki Tsujino, Francesco Tubiello, Guido R. van der Werf, Anthony P. Walker, Rik Wanninkhof, Chris Whitehead, Anna Willstrand Wranne, Rebecca Wright, Wenping Yuan, Chao Yue, Xu Yue, Sönke Zaehle, Jiye Zeng, and Bo Zheng
Earth Syst. Sci. Data, 14, 4811–4900, https://doi.org/10.5194/essd-14-4811-2022, https://doi.org/10.5194/essd-14-4811-2022, 2022
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The Global Carbon Budget 2022 describes the datasets and methodology used to quantify the anthropogenic emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, the land ecosystems, and the ocean. These living datasets are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Elise S. Droste, Mario Hoppema, Melchor González-Dávila, Juana Magdalena Santana-Casiano, Bastien Y. Queste, Giorgio Dall'Olmo, Hugh J. Venables, Gerd Rohardt, Sharyn Ossebaar, Daniel Schuller, Sunke Trace-Kleeberg, and Dorothee C. E. Bakker
Ocean Sci., 18, 1293–1320, https://doi.org/10.5194/os-18-1293-2022, https://doi.org/10.5194/os-18-1293-2022, 2022
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Tides affect the marine carbonate chemistry of a coastal polynya neighbouring the Ekström Ice Shelf by movement of seawater with different physical and biogeochemical properties. The result is that the coastal polynya in the summer can switch between being a sink or a source of CO2 multiple times a day. We encourage consideration of tides when collecting in polar coastal regions to account for tide-driven variability and to avoid overestimations or underestimations of air–sea CO2 exchange.
Hein J. W. de Baar, Mario Hoppema, and Elizabeth M. Jones
EGUsphere, https://doi.org/10.5194/egusphere-2022-676, https://doi.org/10.5194/egusphere-2022-676, 2022
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There is confusion in the literature on interactions of dissolved phosphate and sulphate with the alkalinity of seawater. These do play a minor role in the titration to determine alkalinity. However, a perceived biological role of phosphate and sulphate has been suggested in the value of Oceanic Alkalinity. We think this is mistaken. Some other minor issues additionally have led to confusion on the exact description of Alkalinity. We treat those against a theoretical and empirical background.
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.
Pierre Friedlingstein, Matthew W. Jones, Michael O'Sullivan, Robbie M. Andrew, Dorothee C. E. Bakker, Judith Hauck, Corinne Le Quéré, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Rob B. Jackson, Simone R. Alin, Peter Anthoni, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Laurent Bopp, Thi Tuyet Trang Chau, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Kim I. Currie, Bertrand Decharme, Laique M. Djeutchouang, Xinyu Dou, Wiley Evans, Richard A. Feely, Liang Feng, Thomas Gasser, Dennis Gilfillan, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Ian Harris, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Ingrid T. Luijkx, Atul Jain, Steve D. Jones, Etsushi Kato, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Arne Körtzinger, Peter Landschützer, Siv K. Lauvset, Nathalie Lefèvre, Sebastian Lienert, Junjie Liu, Gregg Marland, Patrick C. McGuire, Joe R. Melton, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Yosuke Niwa, Tsuneo Ono, Denis Pierrot, Benjamin Poulter, Gregor Rehder, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Thais M. Rosan, Jörg Schwinger, Clemens Schwingshackl, Roland Séférian, Adrienne J. Sutton, Colm Sweeney, Toste Tanhua, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Francesco Tubiello, Guido R. van der Werf, Nicolas Vuichard, Chisato Wada, Rik Wanninkhof, Andrew J. Watson, David Willis, Andrew J. Wiltshire, Wenping Yuan, Chao Yue, Xu Yue, Sönke Zaehle, and Jiye Zeng
Earth Syst. Sci. Data, 14, 1917–2005, https://doi.org/10.5194/essd-14-1917-2022, https://doi.org/10.5194/essd-14-1917-2022, 2022
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The Global Carbon Budget 2021 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.
Hanna K. Lappalainen, Tuukka Petäjä, Timo Vihma, Jouni Räisänen, Alexander Baklanov, Sergey Chalov, Igor Esau, Ekaterina Ezhova, Matti Leppäranta, Dmitry Pozdnyakov, Jukka Pumpanen, Meinrat O. Andreae, Mikhail Arshinov, Eija Asmi, Jianhui Bai, Igor Bashmachnikov, Boris Belan, Federico Bianchi, Boris Biskaborn, Michael Boy, Jaana Bäck, Bin Cheng, Natalia Chubarova, Jonathan Duplissy, Egor Dyukarev, Konstantinos Eleftheriadis, Martin Forsius, Martin Heimann, Sirkku Juhola, Vladimir Konovalov, Igor Konovalov, Pavel Konstantinov, Kajar Köster, Elena Lapshina, Anna Lintunen, Alexander Mahura, Risto Makkonen, Svetlana Malkhazova, Ivan Mammarella, Stefano Mammola, Stephany Buenrostro Mazon, Outi Meinander, Eugene Mikhailov, Victoria Miles, Stanislav Myslenkov, Dmitry Orlov, Jean-Daniel Paris, Roberta Pirazzini, Olga Popovicheva, Jouni Pulliainen, Kimmo Rautiainen, Torsten Sachs, Vladimir Shevchenko, Andrey Skorokhod, Andreas Stohl, Elli Suhonen, Erik S. Thomson, Marina Tsidilina, Veli-Pekka Tynkkynen, Petteri Uotila, Aki Virkkula, Nadezhda Voropay, Tobias Wolf, Sayaka Yasunaka, Jiahua Zhang, Yubao Qiu, Aijun Ding, Huadong Guo, Valery Bondur, Nikolay Kasimov, Sergej Zilitinkevich, Veli-Matti Kerminen, and Markku Kulmala
Atmos. Chem. Phys., 22, 4413–4469, https://doi.org/10.5194/acp-22-4413-2022, https://doi.org/10.5194/acp-22-4413-2022, 2022
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We summarize results during the last 5 years in the northern Eurasian region, especially from Russia, and introduce recent observations of the air quality in the urban environments in China. Although the scientific knowledge in these regions has increased, there are still gaps in our understanding of large-scale climate–Earth surface interactions and feedbacks. This arises from limitations in research infrastructures and integrative data analyses, hindering a comprehensive system analysis.
Sayaka Yasunaka, Tsuneo Ono, Kosei Sasaoka, and Kanako Sato
Ocean Sci., 18, 255–268, https://doi.org/10.5194/os-18-255-2022, https://doi.org/10.5194/os-18-255-2022, 2022
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Chlorophyll a (Chl a), which is the primary pigment used in photosynthesis, often retains its maximum value in the subsurface layer rather that at the surface. In this study, we integrate Chl a concentration data from recent biogeochemical floats, as well as from historical ship-based and other observations, and present global maps of subsurface Chl a concentration and seasonal and interannual variations with related variables, i.e., light intensity, nitrate concentration, and oxygen production.
Filippa Fransner, Friederike Fröb, Jerry Tjiputra, Nadine Goris, Siv K. Lauvset, Ingunn Skjelvan, Emil Jeansson, Abdirahman Omar, Melissa Chierici, Elizabeth Jones, Agneta Fransson, Sólveig R. Ólafsdóttir, Truls Johannessen, and Are Olsen
Biogeosciences, 19, 979–1012, https://doi.org/10.5194/bg-19-979-2022, https://doi.org/10.5194/bg-19-979-2022, 2022
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Ocean acidification, a direct consequence of the CO2 release by human activities, is a serious threat to marine ecosystems. In this study, we conduct a detailed investigation of the acidification of the Nordic Seas, from 1850 to 2100, by using a large set of samples taken during research cruises together with numerical model simulations. We estimate the effects of changes in different environmental factors on the rate of acidification and its potential effects on cold-water corals.
Alice E. Webb, Didier M. de Bakker, Karline Soetaert, Tamara da Costa, Steven M. A. C. van Heuven, Fleur C. van Duyl, Gert-Jan Reichart, and Lennart J. de Nooijer
Biogeosciences, 18, 6501–6516, https://doi.org/10.5194/bg-18-6501-2021, https://doi.org/10.5194/bg-18-6501-2021, 2021
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The biogeochemical behaviour of shallow reef communities is quantified to better understand the impact of habitat degradation and species composition shifts on reef functioning. The reef communities investigated barely support reef functions that are usually ascribed to conventional coral reefs, and the overall biogeochemical behaviour is found to be similar regardless of substrate type. This suggests a decrease in functional diversity which may therefore limit services provided by this reef.
Siv K. Lauvset, Nico Lange, Toste Tanhua, Henry C. Bittig, Are Olsen, Alex Kozyr, Marta Álvarez, 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, Steve D. Jones, Maren K. Karlsen, Claire Lo Monaco, Patrick Michaelis, Akihiko Murata, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Bronte Tilbrook, Anton Velo, Rik Wanninkhof, Ryan J. Woosley, and Robert M. Key
Earth Syst. Sci. Data, 13, 5565–5589, https://doi.org/10.5194/essd-13-5565-2021, https://doi.org/10.5194/essd-13-5565-2021, 2021
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Short summary
GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by the chemical analysis of water bottle samples from scientific cruises. GLODAPv2.2021 is the third 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 989 hydrographic cruises covering the world's oceans from 1972 to 2020.
Hakase Hayashida, Meibing Jin, Nadja S. Steiner, Neil C. Swart, Eiji Watanabe, Russell Fiedler, Andrew McC. Hogg, Andrew E. Kiss, Richard J. Matear, and Peter G. Strutton
Geosci. Model Dev., 14, 6847–6861, https://doi.org/10.5194/gmd-14-6847-2021, https://doi.org/10.5194/gmd-14-6847-2021, 2021
Short summary
Short summary
Ice algae are tiny plants like phytoplankton but they grow within sea ice. In polar regions, both phytoplankton and ice algae are the foundation of marine ecosystems and play an important role in taking up carbon dioxide in the atmosphere. However, state-of-the-art climate models typically do not include ice algae, and therefore their role in the climate system remains unclear. This project aims to address this knowledge gap by coordinating a set of experiments using sea-ice–ocean models.
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 in synthetic seawater from 273.15 to 318.15 K, J.
Chem. Thermodyn., 22, 113–127, 1990.
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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