Articles | Volume 6, issue 3
https://doi.org/10.5194/gchron-6-449-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gchron-6-449-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Aug 2024
Research article |
| 05 Aug 2024
| 05 Aug 2024
Revising chronological uncertainties in marine archives using global anthropogenic signals: a case study on the oceanic 13C Suess effect
Department of Earth Science, University of Bergen and Bjerknes Centre for Climate Research, Bergen, 5007, Norway
Ulysses S. Ninnemann
Department of Earth Science, University of Bergen and Bjerknes Centre for Climate Research, Bergen, 5007, Norway
Are Olsen
Geophysical Institute, University of Bergen and Bjerknes Centre for Climate Research, Bergen, 5007, Norway
Neil L. Rose
Department of Geography, University College London, London, WC1E 6BT, UK
David J. R. Thornalley
Department of Geography, University College London, London, WC1E 6BT, UK
Tor L. Mjell
Department of Earth Science, University of Bergen and Bjerknes Centre for Climate Research, Bergen, 5007, Norway
now at: Slåtthaug School, Bergen kommune, Bergen, 5020, Norway
François Counillon
Geophysical Institute, University of Bergen and Bjerknes Centre for Climate Research, Bergen, 5007, Norway
Nansen Environmental and Remote Sensing Centre and Bjerknes Centre for Climate Research, Bergen, 5007, Norway
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Pierre Friedlingstein, Michael O'Sullivan, Robbie M. Andrew, Judith Hauck, Matthew W. Jones, 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, Kjetil Aas, Simone R. Alin, Vivek Arora, Nicholas R. Bates, Kimberly Bedard, David Martin Belda, Nicolas Bellouin, Alice Benoit-Cattin, Carla F. Berghoff, Sarah Berthet, Laurent Bopp, Ida Bagus Mandhara Brasika, Eleanor Burke, Leon Casse, Matthew A. Chamberlain, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Susan E. Curless, Tim DeVries, Tobias Ehmen, Matthew P. Enright, Kazutaka Enyo, Michael Erb, Wiley Evans, Amanda R. Fay, Ben Felzer, Daniel J. Ford, Adrianna Foster, Filippa Fransner, Agneta Fransson, Andrew Friedman, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Wensu Hao, Kirsty Harrington, Jens Heinke, George C. Hurtt, Tatiana Ilyina, Akihiko Ito, Andrew R. Jacobson, Atul K. Jain, Rajesh Janardanan, Tereza Jarníková, Annika Jersild, Fei Jiang, Zhe Jin, Linus Kamb, Etsushi Kato, Ralph F. Keeling, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Taro Kunimitsu, Xin Lan, Vladimir Lapin, Siv K. Lauvset, Simone Le Chevère, Woo-Sung Lee, Enhui Liao, Junjie Liu, Zhu Liu, Sebastiaan Luyssaert, Lei Ma, Suman Maity, Gregg Marland, Patrick C. McGuire, Nicolas Metzl, Juliette Mignot, Natalie M. Monacci, Eric J. Morgan, Jens D. Müller, David R. Munro, Miaki Muramatsu, Shin-Ichiro Nakaoka, Craig Neill, Tobias Nützel, Léa Olivier, Timothy Osborn, Xosé A. Padín, Paul I. Palmer, Sudhanshu Pandey, Denis Pierrot, Ben Poulter, Zhangcai Qin, Yumou Qiu, Gregor Rehder, Laure Resplandy, Christian Rödenbeck, Alizée Roobaert, Thais M. Rosan, Simone Rossi, Jörg Schwinger, Gereon Seeberg, Roland Séférian, Elisabeth H. Shadwick, Ingunn Skjelvan, Karolina Slominska-Durdasiak, T. Luke Smallman, Mohanan G Sreeush, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Shintaro Takao, Hiroaki Tatebe, Jens Terhaar, Hanqin Tian, Bronte Tilbrook, Takahiro Toyoda, Joaquin A. Triñanes, Francesco Tubiello, Guido R. van der Werf, Auke van der Woude, Sebastiaan J. van de Velde, Anthony P. Walker, Rik Wanninkhof, Xiaojuan Yang, Wenping Yuan, Xu Yue, Jiye Zeng, Ning Zheng, and Bo Zheng
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-895, https://doi.org/10.5194/essd-2026-895, 2026
Preprint under review for ESSD
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The Global Carbon Budget 2026 describes the methodology, main results, and datasets 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 (1750–2026). 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.
Matthew P. Humphreys, Siv K. Lauvset, Nico Lange, Henry C. Bittig, Brendan R. Carter, Mario Hoppema, Akihiko Murata, Are Olsen, Toste Tanhua, Adam Ulfsbo, Antón Velo, Ryan J. Woosley, Kumiko Azetsu-Scott, Jens D. Müller, and Fiz F. Pérez
Ocean Sci., 22, 3403–3414, https://doi.org/10.5194/os-22-3403-2026, https://doi.org/10.5194/os-22-3403-2026, 2026
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The Global Ocean Data Analysis Project (GLODAP) collects oceanographic datasets from research cruises that are needed to study the marine carbon cycle. The datasets are quality controlled and adjusted where necessary to ensure consistency between cruises, and published as a global data product. Here, we present a new method for calculating the consistency adjustments called ‘furthest-first inversion’ which has been developed for the newest version of the data product.
Andrew M. W. Newton, Freek S. Busschers, Ulysses S. Ninnemann, and Margaret A. Stewart
Proc. Int. Ocean Drill. Prog., 507, 1, https://doi.org/10.5194/piodp-507-1-2026, https://doi.org/10.5194/piodp-507-1-2026, 2026
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Around 3.3 million years ago, falling greenhouse gas concentrations cooled Earth, making it sensitive to orbital changes that triggered ice ages from 2.6 million years ago onward. The North Sea Basin preserves a 1.2 km sediment record of ~50 ice ages, capturing Europe’s climate and ecosystem evolution. Drilling this archive will reveal feedback mechanisms within the climate system and improve understanding of environmental responses to modern warming.
Quentin Dalaiden, François Counillon, Lea Svendsen, Ingo Bethke, and Noel Keenlyside
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-433, https://doi.org/10.5194/essd-2026-433, 2026
Preprint under review for ESSD
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Instrumental observations only cover a small part of Earth’s climate history, making it difficult to understand long-term climate changes. We combined information from natural climate archives, such as tree rings, corals, and ice cores, with a climate model to reconstruct climate variability over the last 500 years. Our reconstruction displays a good performance when compared with observations, provide a physically consistent picture of how the atmosphere and ocean evolved together through time.
Nico Lange, Siv K. Lauvset, Brendan R. Carter, Matthew P. Humphreys, Ryan J. Woosley, Are Olsen, Henry C. Bittig, Alex Kozyr, Marta Álvarez, Kumiko Azetsu-Scott, Susan Becker, Peter J. Brown, Leticia Cotrim da Cunha, Larissa Dias, Mario Hoppema, Masao Ishii, Emil Jeansson, Akihiko Murata, Jens Daniel Müller, Fiz F. Pérez, Carsten Schirnick, Reiner Steinfeldt, Adam Ulfsbo, Anton Velo, and Toste Tanhua
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-496, https://doi.org/10.5194/essd-2026-496, 2026
Revised manuscript accepted for ESSD
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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. GLODAPv3 is the third version release of GLODAP. The data that are included have been subjected to extensive quality control, including systematic evaluation of systematic cruise differences. This version contains data from 1181 hydrographic cruises covering the world's oceans from 1972 to 2023.
Nicholas Williams, Yiguo Wang, and François Counillon
The Cryosphere, 20, 3795–3815, https://doi.org/10.5194/tc-20-3795-2026, https://doi.org/10.5194/tc-20-3795-2026, 2026
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This study investigates whether assimilating sea ice thickness observations into a global climate model can improve reanalysis and seasonal prediction skill of the Antarctic sea ice. We found that assimilation of sea ice thickness improves the representation of sea ice variability, especially in western Antarctica. We also show that initialisation of predictions with sea ice thickness data assimilation can improve forecasts of sea ice concentration, extent and thickness in summer and autumn.
Svetlana Radionovskaya, Mervyn Greaves, David J. R. Thornalley, and Luke C. Skinner
EGUsphere, https://doi.org/10.5194/egusphere-2026-3334, https://doi.org/10.5194/egusphere-2026-3334, 2026
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We studied deep ocean conditions in the Northeast Atlantic during a transition into an ice age to understand how different climate states and forcings influence ocean circulation, using chemical signals preserved in tiny fossil shells. We found unexpectedly warm conditions and strong deep-water flow during rapid cold climatic events. These findings provide new insights into deep-water formation and ocean circulation under different climate states.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Dorothee C. E. Bakker, Judith Hauck, Peter Landschützer, Corinne Le Quéré, Hongmei Li, Ingrid T. Luijkx, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Kjetil Aas, Simone R. Alin, Peter Anthoni, Leticia Barbero, Nicholas R. Bates, Nicolas Bellouin, Alice Benoit-Cattin, Carla F. Berghoff, Raffaele Bernardello, Laurent Bopp, Ida Bagus Mandhara Brasika, Matthew A. Chamberlain, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Nathan O. Collier, Thomas H. Colligan, Margot Cronin, Laique M. Djeutchouang, Xinyu Dou, Matt P. Enright, Kazutaka Enyo, Michael Erb, Wiley Evans, Richard A. Feely, Liang Feng, Daniel J. Ford, Adrianna Foster, Filippa Fransner, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Jefferson Goncalves De Souza, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Bertrand Guenet, Özgür Gürses, Kirsty Harrington, Ian Harris, Jens Heinke, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Akihiko Ito, Andrew R. Jacobson, Atul K. Jain, Tereza Jarníková, Annika Jersild, Fei Jiang, Steve D. Jones, Etsushi Kato, Ralph F. Keeling, Kees Klein Goldewijk, Jürgen Knauer, Yawen Kong, Jan Ivar Korsbakken, Charles Koven, Taro Kunimitsu, Xin Lan, Junjie Liu, Zhiqiang Liu, Zhu Liu, Claire Lo Monaco, Lei Ma, Gregg Marland, Patrick C. McGuire, Galen A. McKinley, Joe R. Melton, Natalie Monacci, Erwan Monier, Eric J. Morgan, David R. Munro, Jens D. Müller, Shin-Ichiro Nakaoka, Lorna R. Nayagam, Yosuke Niwa, Tobias Nutzel, Are Olsen, Abdirahman M. Omar, Naiqing Pan, Sudhanshu Pandey, Denis Pierrot, Zhangcai Qin, Pierre Regnier, Gregor Rehder, Laure Resplandy, Alizée Roobaert, Thais M. Rosan, Christian Rödenbeck, Jörg Schwinger, Ingunn Skjelvan, T. Luke Smallman, Victoria Spada, Mohanan G. Sreeush, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Didier Swingedouw, Roland Séférian, Shintaro Takao, Hiroaki Tatebe, Hanqin Tian, Xiangjun Tian, Bronte Tilbrook, Hiroyuki Tsujino, Francesco Tubiello, Erik van Ooijen, Guido R. van der Werf, Sebastiaan J. van de Velde, Anthony P. Walker, Rik Wanninkhof, Xiaojuan Yang, Wenping Yuan, Xu Yue, and Jiye Zeng
Earth Syst. Sci. Data, 18, 3211–3288, https://doi.org/10.5194/essd-18-3211-2026, https://doi.org/10.5194/essd-18-3211-2026, 2026
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The Global Carbon Budget 2025 describes the methodology, main results, and datasets 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 (1750–2025). 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.
Li-Qing Jiang, Amanda Fay, Jens Daniel Müller, Luke Gregor, Alizée Roobaert, Lydia Keppler, Dustin Carroll, Siv K. Lauvset, Tim DeVries, Judith Hauck, Christian Rödenbeck, Nicolas Metzl, Andrea J. Fassbender, Jean-Pierre Gattuso, Peter Landschützer, Rik Wanninkhof, Christopher Sabine, Simone R. Alin, Mario Hoppema, Are Olsen, Matthew P. Humphreys, Kunal Chakraborty, Ana C. Franco, Kumiko Azetsu-Scott, Dorothee C. E. Bakker, Leticia Barbero, Nicholas R. Bates, Nicole Besemer, Henry C. Bittig, Albert E. Boyd, Daniel Broullón, Wei-Jun Cai, Brendan R. Carter, Thi-Tuyet-Trang Chau, Chen-Tung Arthur Chen, Frédéric Cyr, John E. Dore, Ian Enochs, Richard A. Feely, Hernan E. Garcia, Marion Gehlen, Prasanna Kanti Ghoshal, Lucas Gloege, Melchor González-Dávila, Nicolas Gruber, Debby Ianson, Yosuke Iida, Masao Ishii, Apurva Padamnabh Joshi, Esther Kennedy, Alex Kozyr, Nico Lange, Claire Lo Monaco, Derek P. Manzello, Galen A. McKinley, Natalie M. Monacci, Xose A. Padin, Ana M. Palacio-Castro, Fiz F. Pérez, J. Magdalena Santana-Casiano, Jonathan Sharp, Adrienne Sutton, Jim Swift, Toste Tanhua, Maciej Telszewski, Jens Terhaar, Ruben van Hooidonk, Anton Velo, Andrew J. Watson, Angelicque E. White, Zelun Wu, Liang Xue, Hyelim Yoo, Jiye Zeng, and Guorong Zhong
Earth Syst. Sci. Data, 18, 1405–1462, https://doi.org/10.5194/essd-18-1405-2026, https://doi.org/10.5194/essd-18-1405-2026, 2026
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This review article provides an overview of 68 existing ocean carbonate chemistry data products and data product sets, encompassing a broad range of types, including compilations of cruise datasets, gap-filled observational products, model simulations, and more. It is designed to help researchers identify and access the data products that best support their scientific objectives, thereby facilitating progress in understanding the ocean's changing carbonate chemistry.
Henriette M. Kolling, Markus Kienast, Peter Matzerath, Julia Gottschalk, Stephanie Kienast, Daniel A. Frick, Felix Gross, Jack Wharton, David Thornalley, and Ralph R. Schneider
EGUsphere, https://doi.org/10.5194/egusphere-2026-809, https://doi.org/10.5194/egusphere-2026-809, 2026
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We studied past ocean conditions on the Scotian Shelf to understand how warm Gulf Stream waters reached this region in the past. Using chemical signals preserved in microscopic shells from seafloor sediments, we reconstructed sea surface temperature and salinity over the last 8,500 years. We found repeated warm-water intrusions during the mid to late Holocene, similar in strength to those observed today, providing important context for modern ocean warming.
Nicholas Williams, Yiguo Wang, and François Counillon
The Cryosphere, 20, 853–873, https://doi.org/10.5194/tc-20-853-2026, https://doi.org/10.5194/tc-20-853-2026, 2026
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We assimilate satellite observations of Arctic sea ice thickness to create a skillful initial sea ice state, assimilating ENVISAT-derived sea ice thickness for the first time. We produce a reanalysis and seasonal hindcasts showing that sea ice thickness and volume estimates are significantly improved in both reanalysis and prediction. Predictions of summer sea ice extent in our model are also substantially improved by reducing the high sea ice thickness bias.
Elwyn de la Vega, Markus Raitzsch, Gavin L. Foster, Jelle Bijma, Ulysses S. Ninnemann, Michal Kucera, Tali Lea Babila, Jessica Crumpton Banks, Mohamed M. Ezat, and Audrey Morley
Biogeosciences, 22, 6765–6785, https://doi.org/10.5194/bg-22-6765-2025, https://doi.org/10.5194/bg-22-6765-2025, 2025
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The boron isotopic composition (δ11B) of foraminifera shells is an established proxy for the reconstruction of ocean pH. Applications to the Arctic oceans are however limited as robust calibrations in these regions are lacking. Here, we present a new calibration linking δ11B measured in two high-latitude foraminifera species to seawater pH. We show that the δ11B of the species analysed is well correlated with seawater pH and that this calibration can be applied to the paleorecord.
Lilian Garcia-Oliva, Alberto Carrassi, and François Counillon
Nonlin. Processes Geophys., 32, 439–456, https://doi.org/10.5194/npg-32-439-2025, https://doi.org/10.5194/npg-32-439-2025, 2025
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We used a simple coupled model and a data assimilation method to find the correct initialisation for climate predictions. We aim to clarify when weakly or strongly coupled data assimilation (WCDA or SCDA) is best, depending on the system's dynamical characteristics (spatio-temporal) and data coverage. We found that WCDA is better in full data coverage. When we have a partially observed system, SCDA is better. This result depends on the temporal and spatial scale of the observed quantity.
Yiguo Wang, François Counillon, Lea Svendsen, Ping-Gin Chiu, Noel Keenlyside, Patrick Laloyaux, Mariko Koseki, and Eric de Boisseson
Earth Syst. Sci. Data, 17, 4185–4211, https://doi.org/10.5194/essd-17-4185-2025, https://doi.org/10.5194/essd-17-4185-2025, 2025
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CoRea1860+ is a new climate dataset that reconstructs past climate conditions from 1860 to today. By using advanced modelling techniques and incorporating sea surface temperature observations, it provides a consistent picture of long-term climate variability. The dataset captures key ocean, sea ice, and atmosphere changes, helping scientists understand past climate changes and variability.
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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The Global Carbon Budget 2024 describes the methodology, main results, and datasets 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 (1750–2024). 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.
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.
Michelle J. Curran, Christophe Colin, Megan Murphy O’Connor, Ulysses S. Ninnemann, and Audrey Morley
Clim. Past Discuss., https://doi.org/10.5194/cp-2023-101, https://doi.org/10.5194/cp-2023-101, 2024
Revised manuscript not accepted
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Our multi-proxy examination of an abrupt climate event during peak MIS11 reveals new evidence that the reorganisation of Polar and Atlantic Waters at subpolar latitudes is central mechanistically for the stability of North Atlantic Deep Water formation. We conclude that high-magnitude AMOC variability is possible without the addition of freshwater or Icebergs to deep water formation regions challenging established knowledge of AMOC sensitivity and stability during warm climates.
Akhilesh Sivaraman Nair, François Counillon, and Noel Keenlyside
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-217, https://doi.org/10.5194/gmd-2023-217, 2024
Publication in GMD not foreseen
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This study demonstrates the importance of soil moisture (SM) in subseasonal-to-seasonal predictions. To addess this, we introduce the Norwegian Climate Prediction Model Land (NorCPM-Land), a land data assimilation system developed for the NorCPM. NorCPM-Land reduces error in SM by 10.5 % by assimilating satellite SM products. Enhanced land initialisation improves predictions up to a 3.5-month lead time for SM and a 1.5-month lead time for temperature and precipitation.
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.
Zhiyi Jiang, Chris Brierley, David Thornalley, and Sophie Sax
Clim. Past, 19, 107–121, https://doi.org/10.5194/cp-19-107-2023, https://doi.org/10.5194/cp-19-107-2023, 2023
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This work looks at a series of model simulations of two past warm climates. We focus on the deep overturning circulation in the Atlantic Ocean. We show that there are no robust changes in the overall strength of the circulation. We also show that the circulation hardly plays a role in changes in the surface climate across the globe.
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.
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.
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.
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
Short summary
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.
Ingo Bethke, Yiguo Wang, François Counillon, Noel Keenlyside, Madlen Kimmritz, Filippa Fransner, Annette Samuelsen, Helene Langehaug, Lea Svendsen, Ping-Gin Chiu, Leilane Passos, Mats Bentsen, Chuncheng Guo, Alok Gupta, Jerry Tjiputra, Alf Kirkevåg, Dirk Olivié, Øyvind Seland, Julie Solsvik Vågane, Yuanchao Fan, and Tor Eldevik
Geosci. Model Dev., 14, 7073–7116, https://doi.org/10.5194/gmd-14-7073-2021, https://doi.org/10.5194/gmd-14-7073-2021, 2021
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The Norwegian Climate Prediction Model version 1 (NorCPM1) is a new research tool for performing climate reanalyses and seasonal-to-decadal climate predictions. It adds data assimilation capability to the Norwegian Earth System Model version 1 (NorESM1) and has contributed output to the Decadal Climate Prediction Project (DCPP) as part of the sixth Coupled Model Intercomparison Project (CMIP6). We describe the system and evaluate its baseline, reanalysis and prediction performance.
Cited articles
Alves, E. Q., Macario, K., Ascough, P., and Bronk Ramsey, C.: The Worldwide Marine Radiocarbon Reservoir Effect: Definitions, Mechanisms, and Prospects, Rev. Geophys., 56, 278–305, https://doi.org/10.1002/2017RG000588, 2018.
Anderson, D. M.: Attenuation of millennial-scale events by bioturbation in marine sediments, Paleoceanography, 16, 352–357, https://doi.org/10.1029/2000PA000530, 2001.
Appleby, P. G.: Three decades of dating recent sediments by fallout radionuclides: a review, Holocene, 18, 83–93, https://doi.org/10.1177/0959683607085598, 2008.
Appleby, P. G., Piliposyan, G., and Hess, S.: Detection of a hot 137Cs particle in marine sediments from Norway: potential implication for 137Cs dating, Geo-Mar. Lett., 42, 2, https://doi.org/10.1007/s00367-021-00727-2, 2021.
Appleby, P. G., Piliposyan, G., Weckström, J., and Piliposian, G.: Delayed inputs of hot 137Cs and 241Am particles from Chernobyl to sediments from three Finnish lakes: implications for sediment dating, J. Paleolimnol., 69, 293–303, https://doi.org/10.1007/s10933-022-00273-6, 2023.
Ascough, P., Cook, G., and Dugmore, A.: Methodological approaches to determining the marine radiocarbon reservoir effect, Prog. Phys. Geogr., 29, 532–547, https://doi.org/10.1191/0309133305pp461ra, 2005.
Barsanti, M., Garcia-Tenorio, R., Schirone, A., Rozmaric, M., Ruiz-Fernández, A. C., Sanchez-Cabeza, J. A., Delbono, I., Conte, F., De Oliveira Godoy, J. M., Heijnis, H., Eriksson, M., Hatje, V., Laissaoui, A., Nguyen, H. Q., Okuku, E., Al-Rousan, S. A., Uddin, S., Yii, M. W., and Osvath, I.: Challenges and limitations of the 210Pb sediment dating method: Results from an IAEA modelling interlaboratory comparison exercise, Quat. Geochronol., 59, 101093, https://doi.org/10.1016/j.quageo.2020.101093, 2020.
Bindler, R., Renberg, I., Appleby, P. G., Anderson, N. J., and Rose, N. L.: Mercury accumulation rates and spatial patterns in lake sediments from west Greenland: a coast to ice margin transect, Environ. Sci. Technol., 35, 1736–1741, 2001.
Blaauw, M. and Christen, J. A.: Flexible paleoclimate age-depth models using an autoregressive gamma process, Bayesian Anal., 6, 457–474, https://doi.org/10.1214/ba/1339616472, 2011.
Boessenkool, K. P., Hall, I. R., Elderfield, H., and Yashayaev, I.: North Atlantic climate and deep-ocean flow speed changes during the last 230 years, Geophys. Res. Lett., 34, L13614, https://doi.org/10.1029/2007gl030285, 2007.
Booth, B. B. B., Dunstone, N. J., Halloran, P. R., Andrews, T., and Bellouin, N.: Aerosols implicated as a prime driver of twentieth-century North Atlantic climate variability, Nature, 484, 228–232, https://doi.org/10.1038/nature10946, 2012.
Chapman, M. R.: Seasonal production patterns of planktonic foraminifera in the NE Atlantic Ocean: Implications for paleotemperature and hydrographic reconstructions, Paleoceanography, 25, PA1101, https://doi.org/10.1029/2008pa001708, 2010.
Cléroux, C., Cortijo, E., Duplessy, J.-C., and Zahn, R.: Deep-dwelling foraminifera as thermocline temperature recorders, Geochem. Geophy. Geosy., 8, Q04N11, https://doi.org/10.1029/2006GC001474, 2007.
Eide, M., Olsen, A., Ninnemann, U. S., and Eldevik, T.: A global estimate of the full oceanic 13C Suess effect since the preindustrial, Global Biogeochem. Cy., 31, 492–514, https://doi.org/10.1002/2016GB005472, 2017.
England, J., Dyke, A. S., Coulthard, R. D., Mcneely, R., and Aitken, A.: The exaggerated radiocarbon age of deposit-feeding molluscs in calcareous environments, Boreas, 42, 362–373, https://doi.org/10.1111/j.1502-3885.2012.00256.x, 2013.
Field, D. B.: Variability in vertical distributions of planktonic foraminifera in the California Current: Relationships to vertical ocean structure, Paleoceanography, 19, PA2014, https://doi.org/10.1029/2003pa000970, 2004.
Forman, S. L. and Polyak, L.: Radiocarbon content of pre-bomb marine mollusks and variations in the 14C Reservoir age for coastal areas of the Barents and Kara Seas, Russia, Geophys. Res. Lett., 24, 885–888, https://doi.org/10.1029/97GL00761, 1997.
Gammon, R. H., Cline, J., and Wisegarver, D.: Chlorofluoromethanes in the northeast Pacific Ocean: Measured vertical distributions and application as transient tracers of upper ocean mixing, J. Geophys. Res.-Oceans, 87, 9441–9454, https://doi.org/10.1029/JC087iC12p09441, 1982.
Ganssen, G. M. and Kroon, D.: The isotopic signature of planktonic foraminifera from NE Atlantic surface sediments: implications for the reconstruction of past oceanic conditions, J. Geol. Soc. London, 157, 693–699, 2000.
Gebbie, G. and Huybers, P.: The Mean Age of Ocean Waters Inferred from Radiocarbon Observations: Sensitivity to Surface Sources and Accounting for Mixing Histories, J. Phys. Oceanogr., 42, 291–305, https://doi.org/10.1175/JPO-D-11-043.1, 2012.
Goldenberg, S. B., Landsea, C. W., Mestas-Nuñez, A. M., and Gray, W. M.: The Recent Increase in Atlantic Hurricane Activity: Causes and Implications, Science, 293, 474–479, https://doi.org/10.1126/science.1060040, 2001.
Graven, H. D.: Impact of fossil fuel emissions on atmospheric radiocarbon and various applications of radiocarbon over this century, P. Natl. Acad. Sci. USA, 112, 9542–9545, https://doi.org/10.1073/pnas.1504467112, 2015.
Gray, S. T., Graumlich, L. J., Betancourt, J. L., and Pederson, G. T.: A tree-ring based reconstruction of the Atlantic Multidecadal Oscillation since 1567 A.D, Geophys. Res. Lett., 31, L12205, https://doi.org/10.1029/2004GL019932, 2004.
Heaton, T. J., Köhler, P., Butzin, M., Bard, E., Reimer, R. W., Austin, W. E. N., Bronk Ramsey, C., Grootes, P. M., Hughen, K. A., Kromer, B., Reimer, P. J., Adkins, J., Burke, A., Cook, M. S., Olsen, J., and Skinner, L. C.: Marine20—The Marine Radiocarbon Age Calibration Curve (0–55,000 cal BP), Radiocarbon, 62, 779–820, https://doi.org/10.1017/RDC.2020.68, 2020.
Hinojosa, J. L., Moy, C. M., Prior, C. A., Eglinton, T. I., McIntyre, C. P., Stirling, C. H., and Wilson, G. S.: Investigating the influence of regional climate and oceanography on marine radiocarbon reservoir ages in southwest New Zealand, Estuar. Coast. Shelf S., 167, 526–539, https://doi.org/10.1016/j.ecss.2015.11.003, 2015.
Hughen, K. A.: Radiocarbon Dating of Deep-Sea Sediments, in: Proxies in Late Cenozoic Paleoceanography, edited by: Hillaire-Marcel, C. and de Vernal, A., Elsevier Science & Technology, 185–210, https://doi.org/10.1016/S1572-5480(07)01010-X, 2007.
Jonkers, L., van Heuven, S., Zahn, R., and Peeters, F. J. C.: Seasonal patterns of shell flux, δ18O and δ13C of small and large N. pachyderma (s) and G. bulloides in the subpolar North Atlantic, Paleoceanography, 28, 164–174, https://doi.org/10.1002/palo.20018, 2013.
Kaiser, J., Abel, S., Arz, H. W., Cundy, A. B., Dellwig, O., Gaca, P., Gerdts, G., Hajdas, I., Labrenz, M., Milton, J. A., Moros, M., Primpke, S., Roberts, S. L., Rose, N. L., Turner, S. D., Voss, M., and Ivar do Sul, J. A.: The East Gotland Basin (Baltic Sea) as a candidate Global boundary Stratotype Section and Point for the Anthropocene series, Anthropocene Review, 10, 25–48, https://doi.org/10.1177/20530196221132709, 2023.
Kaplan, A., Cane, M. A., Kushnir, Y., Clement, A. C., Blumenthal, M. B., and Rajagopalan, B.: Analyses of global sea surface temperature 1856–1991, J. Geophys. Res.-Oceans, 103, 18567–18589, https://doi.org/10.1029/97JC01736, 1998.
Keeling, C. D.: The Suess effect: 13Carbon-14Carbon interrelations, Environ. Int., 2, 229–300, https://doi.org/10.1016/0160-4120(79)90005-9, 1979.
Key, R. M., Kozyr, A., Sabine, C. L., Lee, K., Wanninkhof, R., Bullister, J. L., Feely, R. A., Millero, F. J., Mordy, C., and Peng, T. H.: A global ocean carbon climatology: Results from Global Data Analysis Project (GLODAP), Global Biogeochem. Cy., 18, GB4031, https://doi.org/10.1029/2004GB002247, 2004.
Lowe, D. J.: Tephrochronology and its application: A review, Quat. Geochronol., 6, 107–153, https://doi.org/10.1016/j.quageo.2010.08.003, 2011.
Mann, M. E., Steinman, B. A., and Miller, S. K.: Absence of internal multidecadal and interdecadal oscillations in climate model simulations, Nat. Commun., 11, 49, https://doi.org/10.1038/s41467-019-13823-w, 2020.
Mellon, S., Kienast, M., Algar, C., de Menocal, P., Kienast, S. S., Marchitto, T. M., Moros, M., and Thomas, H.: Foraminifera Trace Anthropogenic CO2 in the NW Atlantic by 1950, Geophys. Res. Lett., 46, 14683–14691, https://doi.org/10.1029/2019GL084965, 2019.
Miles, M. W., Divine, D. V., Furevik, T., Jansen, E., Moros, M., and Ogilvie, A. E. J.: A signal of persistent Atlantic multidecadal variability in Arctic sea ice, Geophys. Res. Lett., 41, 463–469, https://doi.org/10.1002/2013GL058084, 2014.
Mjell, T. L., Ninnemann, U. S., Kleiven, H. F., and Hall, I. R.: Multidecadal changes in Iceland Scotland Overflow Water vigor over the last 600 years and its relationship to climate, Geophys. Res. Lett., 43, 2111–2117, https://doi.org/10.1002/2016GL068227, 2016.
Moros, M., Andersen, T. J., Schulz-Bull, D., Häusler, K., Bunke, D., Snowball, I., Kotilainen, A., Zillén, L., Jensen, J. B., Kabel, K., Hand, I., Leipe, T., Lougheed, B. C., Wagner, B., and Arz, H. W.: Towards an event stratigraphy for Baltic Sea sediments deposited since AD 1900: approaches and challenges, Boreas, 46, 129–142, https://doi.org/10.1111/bor.12193, 2017.
Nyland, B. F., Jansen, E., Elderfield, H., and Andersson, C.: Neogloboquadrina pachyderma (dex. and sin.) Mg/Ca and δ18O records from the Norwegian Sea, Geochem. Geophy. Geosy., 7, Q10P17, https://doi.org/10.1029/2005GC001055, 2006.
Olsen, A. and Ninnemann, U.: Large δ13C Gradients in the Preindustrial North Atlantic Revealed, Science, 330, 658–659, https://doi.org/10.1126/science.1193769, 2010.
Otterå, O. H., Bentsen, M., Drange, H., and Suo, L. L.: External forcing as a metronome for Atlantic multidecadal variability, Nat. Geosci., 3, 688–694, https://doi.org/10.1038/ngeo955, 2010.
Pak, D. K. and Kennett, J. P.: A foraminiferal isotopic proxy for upper water mass stratification, J. Foramin. Res., 32, 319–327, https://doi.org/10.2113/32.3.319, 2002.
Pak, D. K., Lea, D. W., and Kennett, J. P.: Seasonal and interannual variation in Santa Barbara Basin water temperatures observed in sediment trap foraminiferal
Perner, K., Moros, M., Jansen, E., Kuijpers, A., Troelstra, S. R., and Prins, M. A.: Subarctic Front migration at the Reykjanes Ridge during the mid- to late Holocene: evidence from planktic foraminifera, Boreas, 47, 175–188, https://doi.org/10.1111/bor.12263, 2018.
Perner, K., Moros, M., Otterå, O. H., Blanz, T., Schneider, R. R., and Jansen, E.: An oceanic perspective on Greenland's recent freshwater discharge since 1850, Sci. Rep.-UK, 9, 17680, https://doi.org/10.1038/s41598-019-53723-z, 2019.
Pieńkowski, A. J., Husum, K., Furze, M. F. A., Missana, A. F. J. M., Irvalı, N., Divine, D. V., and Eilertsen, V. T.: Revised ΔR values for the Barents Sea and its archipelagos as a pre-requisite for accurate and robust marine-based 14C chronologies, Quat. Geochronol., 68, 101244, https://doi.org/10.1016/j.quageo.2021.101244, 2021.
Reimer, P. J. and Reimer, R. W.: A Marine Reservoir Correction Database and On-Line Interface, Radiocarbon, 43, 461–463, https://doi.org/10.1017/S0033822200038339, 2001.
Reimer, P. J., Brown, T. A., and Reimer, R. W.: Discussion: Reporting and Calibration of Post-Bomb 14C Data, Radiocarbon, 46, 1299–1304, https://doi.org/10.1017/S0033822200033154, 2004.
Reimer, R. W. and Reimer, P. J.: An Online Application for ΔR Calculation, Radiocarbon, 59, 1623–1627, https://doi.org/10.1017/RDC.2016.117, 2017.
Reynolds, D. J., Scourse, J. D., Halloran, P. R., Nederbragt, A. J., Wanamaker, A. D., Butler, P. G., Richardson, C. A., Heinemeier, J., Eiríksson, J., Knudsen, K. L., and Hall, I. R.: Annually resolved North Atlantic marine climate over the last millennium, Nat. Commun., 7, 13502, https://doi.org/10.1038/ncomms13502, 2016.
Rose, N. L.: A note on further refinements to a procedure for the extraction of carbonaceous fly-ash particles from sediments, J. Paleolimnol., 11, 201–204, https://doi.org/10.1007/BF00686866, 1994.
Rose, N. L.: Quality control in the analysis of lake sediments for spheroidal carbonaceous particles, Limnol. Oceanogr.-Meth., 6, 172–179, https://doi.org/10.4319/lom.2008.6.172, 2008.
Rose, N. L.: Spheroidal Carbonaceous Fly Ash Particles Provide a Globally Synchronous Stratigraphic Marker for the Anthropocene, Environ. Sci. Technol., 49, 4155–4162, https://doi.org/10.1021/acs.est.5b00543, 2015.
Rose, N. L., Rose, C. L., Boyle, J. F., and Appleby, P. G.: Lake-Sediment Evidence for Local and Remote Sources of Atmospherically Deposited Pollutants on Svalbard, J. Paleolimnol., 31, 499–513, https://doi.org/10.1023/B:JOPL.0000022548.97476.39, 2004.
Rose, N. L., Jones, V. J., Noon, P. E., Hodgson, D. A., Flower, R. J., and Appleby, P. G.: Long-Range Transport of Pollutants to the Falkland Islands and Antarctica: Evidence from Lake Sediment Fly Ash Particle Records, Environ. Sci. Technol., 46, 9881–9889, https://doi.org/10.1021/es3023013, 2012.
Rubino, M., Etheridge, D. M., Trudinger, C. M., Allison, C. E., Battle, M. O., Langenfelds, R. L., Steele, L. P., Curran, M., Bender, M., White, J. W. C., Jenk, T. M., Blunier, T., and Francey, R. J.: A revised 1000 year atmospheric δ13C-CO2 record from Law Dome and South Pole, Antarctica, J. Geophys. Res.-Atmos., 118, 8482–8499, https://doi.org/10.1002/jgrd.50668, 2013.
Schiebel, R., Bijma, J., and Hemleben, C.: Population dynamics of the planktic foraminifer Globigerina bulloides from the eastern North Atlantic, Deep-Sea Res. Pt. I, 44, 1701–1713, https://doi.org/10.1016/S0967-0637(97)00036-8, 1997.
Schiebel, R., Waniek, J., Bork, M., and Hemleben, C.: Planktic foraminiferal production stimulated by chlorophyll redistribution and entrainment of nutrients, Deep-Sea Res. Pt. I, 48, 721–740, https://doi.org/10.1016/S0967-0637(00)00065-0, 2001.
Scourse, J. D., Wanamaker, A. D., Weidman, C., Heinemeier, J., Reimer, P. J., Butler, P. G., Witbaard, R., and Richardson, C. A.: The Marine Radiocarbon Bomb Pulse Across the Temperate North Atlantic: A Compilation of Δ14C Time Histories from Arctica Islandica Growth Increments, Radiocarbon, 54, 165–186, https://doi.org/10.2458/azu_js_rc.v54i2.16026, 2012.
Smith, J. N.: Why should we believe 210Pb sediment geochronologies?, J. Environ. Radioactiv., 55, 121–123, https://doi.org/10.1016/s0265-931x(00)00152-1, 2001.
Spero, H. J. and Lea, D. W.: Experimental determination of stable isotope variability in Globigerina bulloides: implications for paleoceanographic reconstructions, Mar. Micropaleontol., 28, 231–246, https://doi.org/10.1016/0377-8398(96)00003-5, 1996.
Spooner, P. T., Thornalley, D. J. R., Oppo, D. W., Fox, A. D., Radionovskaya, S., Rose, N. L., Mallett, R., Cooper, E., and Roberts, J. M.: Exceptional 20th Century Ocean Circulation in the Northeast Atlantic, Geophys. Res. Lett., 47, e2020GL087577, https://doi.org/10.1029/2020GL087577, 2020.
Stuiver, M. and Reimer, P. J.: A Computer Program for Radiocarbon Age Calibration, Radiocarbon, 28, 1022–1030, https://doi.org/10.1017/S0033822200060276, 1986.
Stuiver, M. and Reimer, P. J.: Extended 14C Data Base and Revised CALIB 3.0 14C Age Calibration Program, Radiocarbon, 35, 215–230, https://doi.org/10.1017/S0033822200013904, 1993.
Suess, H. E.: Radiocarbon Concentration in Modern Wood, Science, 122, 415–417, https://doi.org/10.1126/science.122.3166.415.b, 1955.
Sutton, R. T. and Hodson, D. L. R.: Atlantic Ocean Forcing of North American and European Summer Climate, Science, 309, 115–118, https://doi.org/10.1126/science.1109496, 2005.
Tanhua, T., Körtzinger, A., Friis, K., Waugh, D. W., and Wallace, D. W. R.: An estimate of anthropogenic CO2 inventory from decadal changes in oceanic carbon content, P. Natl. Acad. Sci. USA, 104, 3037–3042, https://doi.org/10.1073/pnas.0606574104, 2007.
Thornalley, D. J. R., Oppo, D. W., Ortega, P., Robson, J. I., Brierley, C. M., Davis, R., Hall, I. R., Moffa-Sanchez, P., Rose, N. L., Spooner, P. T., Yashayaev, I., and Keigwin, L. D.: Anomalously weak Labrador Sea convection and Atlantic overturning during the past 150 years, Nature, 556, 227–230, https://doi.org/10.1038/s41586-018-0007-4, 2018.
von Langen, P. J., Pak, D. K., Spero, H. J., and Lea, D. W.: Effects of temperature on Mg/Ca in neogloboquadrinid shells determined by live culturing, Geochem. Geophy. Geosy., 6, Q10P03, https://doi.org/10.1029/2005GC000989, 2005.
Waelbroeck, C., Lougheed, B. C., Vazquez Riveiros, N., Missiaen, L., Pedro, J., Dokken, T., Hajdas, I., Wacker, L., Abbott, P., Dumoulin, J.-P., Thil, F., Eynaud, F., Rossignol, L., Fersi, W., Albuquerque, A. L., Arz, H., Austin, W. E. N., Came, R., Carlson, A. E., Collins, J. A., Dennielou, B., Desprat, S., Dickson, A., Elliot, M., Farmer, C., Giraudeau, J., Gottschalk, J., Henderiks, J., Hughen, K., Jung, S., Knutz, P., Lebreiro, S., Lund, D. C., Lynch-Stieglitz, J., Malaizé, B., Marchitto, T., Martínez-Méndez, G., Mollenhauer, G., Naughton, F., Nave, S., Nürnberg, D., Oppo, D., Peck, V., Peeters, F. J. C., Penaud, A., Portilho-Ramos, R. d. C., Repschläger, J., Roberts, J., Rühlemann, C., Salgueiro, E., Sanchez Goni, M. F., Schönfeld, J., Scussolini, P., Skinner, L. C., Skonieczny, C., Thornalley, D., Toucanne, S., Rooij, D. V., Vidal, L., Voelker, A. H. L., Wary, M., Weldeab, S., and Ziegler, M.: Consistently dated Atlantic sediment cores over the last 40 thousand years, Scientific Data, 6, 165, https://doi.org/10.1038/s41597-019-0173-8, 2019.
Wang, C., Dong, S., Evan, A. T., Foltz, G. R., and Lee, S.-K.: Multidecadal Covariability of North Atlantic Sea Surface Temperature, African Dust, Sahel Rainfall, and Atlantic Hurricanes, J. Climate, 25, 5404–5415, https://doi.org/10.1175/JCLI-D-11-00413.1, 2012.
Zhang, R., Sutton, R., Danabasoglu, G., Kwon, Y.-O., Marsh, R., Yeager, S. G., Amrhein, D. E., and Little, C. M.: A Review of the Role of the Atlantic Meridional Overturning Circulation in Atlantic Multidecadal Variability and Associated Climate Impacts, Rev. Geophys., 57, 316–375, https://doi.org/10.1029/2019RG000644, 2019.
Short summary
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.
Marine sediments are excellent archives for reconstructing past changes in climate and ocean...
