Articles | Volume 14, issue 12
https://doi.org/10.5194/cp-14-1961-2018
© 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/cp-14-1961-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Dec 2018
Research article |
| 11 Dec 2018
| 11 Dec 2018
Ocean carbon inventory under warmer climate conditions – the case of the Last Interglacial
Augustin Kessler
CORRESPONDING AUTHOR
NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, P.O. Box 22, 5838 Bergen, Norway
Eirik Vinje Galaasen
Department of Earth Science, University of Bergen and Bjerknes Centre for Climate Research, Bergen, Norway
Ulysses Silas Ninnemann
Department of Earth Science, University of Bergen and Bjerknes Centre for Climate Research, Bergen, Norway
Jerry Tjiputra
NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, P.O. Box 22, 5838 Bergen, Norway
Related authors
No articles found.
Elwyn de la Vega, Markus Raitzsch, Gavin Foster, Jelle Bijma, Ulysses Silas Ninnemann, Michal Kucera, Tali Lea Babila, Jessica Crumpton Banks, Mohamed M. Ezat, and Audrey Morley
EGUsphere, https://doi.org/10.5194/egusphere-2025-2443, https://doi.org/10.5194/egusphere-2025-2443, 2025
This preprint is open for discussion and under review for Biogeosciences (BG).
Short summary
Short summary
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.
Philip John Wallhead, Jörg Schwinger, Jerry Tjiputra, Trond Kristiansen, and Richard Garth James Bellerby
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-76, https://doi.org/10.5194/essd-2025-76, 2025
Preprint under review for ESSD
Short summary
Short summary
We developed a novel method to combine ocean data from observations and models, and applied it to produce gridded estimates of nutrients, oxygen, dissolved inorganic carbon and total alkalinity concentrations at latitudes >40° N and years 1980–2020. The new estimates showed improved accuracy and coverage relative to previous estimates, but highlighted remaining uncertainty in some poorly sampled regions. The work was largely motivated by a need for accurate input data for regional ocean models.
Lise Seland Graff, Jerry Tjiputra, Ada Gjermundsen, Andreas Born, Jens Boldingh Debernard, Heiko Goelzer, Yan-Chun He, Petra Margaretha Langebroek, Aleksi Nummelin, Dirk Olivié, Øyvind Seland, Trude Storelvmo, Mats Bentsen, Chuncheng Guo, Andrea Rosendahl, Dandan Tao, Thomas Toniazzo, Camille Li, Stephen Outten, and Michael Schulz
EGUsphere, https://doi.org/10.5194/egusphere-2025-472, https://doi.org/10.5194/egusphere-2025-472, 2025
Short summary
Short summary
The magnitude of future Arctic amplification is highly uncertain. Using the Norwegian Earth system model, we explore the effect of improving the representation of clouds, ocean eddies, the Greenland ice sheet, sea ice, and ozone on the projected Arctic winter warming in a coordinated experiment set. These improvements all lead to enhanced projected Arctic warming, with the largest changes found in the sea-ice retreat regions and the largest uncertainty on the Atlantic side.
Yona Silvy, Thomas L. Frölicher, Jens Terhaar, Fortunat Joos, Friedrich A. Burger, Fabrice Lacroix, Myles Allen, Raffaele Bernardello, Laurent Bopp, Victor Brovkin, Jonathan R. Buzan, Patricia Cadule, Martin Dix, John Dunne, Pierre Friedlingstein, Goran Georgievski, Tomohiro Hajima, Stuart Jenkins, Michio Kawamiya, Nancy Y. Kiang, Vladimir Lapin, Donghyun Lee, Paul Lerner, Nadine Mengis, Estela A. Monteiro, David Paynter, Glen P. Peters, Anastasia Romanou, Jörg Schwinger, Sarah Sparrow, Eric Stofferahn, Jerry Tjiputra, Etienne Tourigny, and Tilo Ziehn
Earth Syst. Dynam., 15, 1591–1628, https://doi.org/10.5194/esd-15-1591-2024, https://doi.org/10.5194/esd-15-1591-2024, 2024
Short summary
Short summary
The adaptive emission reduction approach is applied with Earth system models to generate temperature stabilization simulations. These simulations provide compatible emission pathways and budgets for a given warming level, uncovering uncertainty ranges previously missing in the Coupled Model Intercomparison Project scenarios. These target-based emission-driven simulations offer a more coherent assessment across models for studying both the carbon cycle and its impacts under climate stabilization.
Benjamin Mark Sanderson, Victor Brovkin, Rosie Fisher, David Hohn, Tatiana Ilyina, Chris Jones, Torben Koenigk, Charles Koven, Hongmei Li, David Lawrence, Peter Lawrence, Spencer Liddicoat, Andrew Macdougall, Nadine Mengis, Zebedee Nicholls, Eleanor O'Rourke, Anastasia Romanou, Marit Sandstad, Jörg Schwinger, Roland Seferian, Lori Sentman, Isla Simpson, Chris Smith, Norman Steinert, Abigail Swann, Jerry Tjiputra, and Tilo Ziehn
EGUsphere, https://doi.org/10.5194/egusphere-2024-3356, https://doi.org/10.5194/egusphere-2024-3356, 2024
Short summary
Short summary
This study investigates how climate models warm in response to simplified carbon emissions trajectories, refining understanding of climate reversibility and commitment. Metrics are defined for warming response to cumulative emissions and for the cessation or ramp-down to net-zero and net-negative levels. Results indicate that previous concentration-driven experiments may have overstated zero emissions commitment due to emissions rates exceeding historical levels.
Shunya Koseki, Lander R. Crespo, Jerry Tjiputra, Filippa Fransner, Noel S. Keenlyside, and David Rivas
Biogeosciences, 21, 4149–4168, https://doi.org/10.5194/bg-21-4149-2024, https://doi.org/10.5194/bg-21-4149-2024, 2024
Short summary
Short summary
We investigated how the physical biases of an Earth system model influence the marine biogeochemical processes in the tropical Atlantic. With four different configurations of the model, we have shown that the versions with better SST reproduction tend to better represent the primary production and air–sea CO2 flux in terms of climatology, seasonal cycle, and response to climate variability.
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
Short summary
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.
Dennis Booge, Jerry F. Tjiputra, Dirk J. L. Olivié, Birgit Quack, and Kirstin Krüger
Earth Syst. Dynam., 15, 801–816, https://doi.org/10.5194/esd-15-801-2024, https://doi.org/10.5194/esd-15-801-2024, 2024
Short summary
Short summary
Oceanic bromoform, produced by algae, is an important precursor of atmospheric bromine, highlighting the importance of implementing these emissions in climate models. The simulated mean oceanic concentrations align well with observations, while the mean atmospheric values are lower than the observed ones. Modelled annual mean emissions mostly occur from the sea to the air and are driven by oceanic concentrations, sea surface temperature, and wind speed, which depend on season and location.
Ali Asaadi, Jörg Schwinger, Hanna Lee, Jerry Tjiputra, Vivek Arora, Roland Séférian, Spencer Liddicoat, Tomohiro Hajima, Yeray Santana-Falcón, and Chris D. Jones
Biogeosciences, 21, 411–435, https://doi.org/10.5194/bg-21-411-2024, https://doi.org/10.5194/bg-21-411-2024, 2024
Short summary
Short summary
Carbon cycle feedback metrics are employed to assess phases of positive and negative CO2 emissions. When emissions become negative, we find that the model disagreement in feedback metrics increases more strongly than expected from the assumption that the uncertainties accumulate linearly with time. The geographical patterns of such metrics over land highlight that differences in response between tropical/subtropical and temperate/boreal ecosystems are a major source of model disagreement.
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
Short summary
Short summary
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.
Veli Çağlar Yumruktepe, Erik Askov Mousing, Jerry Tjiputra, and Annette Samuelsen
Geosci. Model Dev., 16, 6875–6897, https://doi.org/10.5194/gmd-16-6875-2023, https://doi.org/10.5194/gmd-16-6875-2023, 2023
Short summary
Short summary
We present an along BGC-Argo track 1D modelling framework. The model physics is constrained by the BGC-Argo temperature and salinity profiles to reduce the uncertainties related to mixed layer dynamics, allowing the evaluation of the biogeochemical formulation and parameterization. We objectively analyse the model with BGC-Argo and satellite data and improve the model biogeochemical dynamics. We present the framework, example cases and routines for model improvement and implementations.
Anna Hauge Braaten, Kim A. Jakob, Sze Ling Ho, Oliver Friedrich, Eirik Vinje Galaasen, Stijn De Schepper, Paul A. Wilson, and Anna Nele Meckler
Clim. Past, 19, 2109–2125, https://doi.org/10.5194/cp-19-2109-2023, https://doi.org/10.5194/cp-19-2109-2023, 2023
Short summary
Short summary
In the context of understanding current global warming, the middle Pliocene (3.3–3.0 million years ago) is an important interval in Earth's history because atmospheric carbon dioxide concentrations were similar to levels today. We have reconstructed deep-sea temperatures at two different locations for this period, and find that a very different mode of ocean circulation or mixing existed, with important implications for how heat was transported in the deep ocean.
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 under review for BG
Short summary
Short summary
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.
Claire Waelbroeck, Jerry Tjiputra, Chuncheng Guo, Kerim H. Nisancioglu, Eystein Jansen, Natalia Vázquez Riveiros, Samuel Toucanne, Frédérique Eynaud, Linda Rossignol, Fabien Dewilde, Elodie Marchès, Susana Lebreiro, and Silvia Nave
Clim. Past, 19, 901–913, https://doi.org/10.5194/cp-19-901-2023, https://doi.org/10.5194/cp-19-901-2023, 2023
Short summary
Short summary
The precise geometry and extent of Atlantic circulation changes that accompanied rapid climate changes of the last glacial period are still unknown. Here, we combine carbon isotopic records from 18 Atlantic sediment cores with numerical simulations and decompose the carbon isotopic change across a cold-to-warm transition into remineralization and circulation components. Our results show that the replacement of southern-sourced by northern-sourced water plays a dominant role below ~ 3000 m depth.
Nadine Goris, Klaus Johannsen, and Jerry Tjiputra
Geosci. Model Dev., 16, 2095–2117, https://doi.org/10.5194/gmd-16-2095-2023, https://doi.org/10.5194/gmd-16-2095-2023, 2023
Short summary
Short summary
Climate projections of a high-CO2 future are highly uncertain. A new study provides a novel approach to identifying key regions that dynamically explain the model uncertainty. To yield an accurate estimate of the future North Atlantic carbon uptake, we find that a correct simulation of the upper- and interior-ocean volume transport at 25–30° N is key. However, results indicate that models rarely perform well for both indicators and point towards inconsistencies within the model ensemble.
Alban Planchat, Lester Kwiatkowski, Laurent Bopp, Olivier Torres, James R. Christian, Momme Butenschön, Tomas Lovato, Roland Séférian, Matthew A. Chamberlain, Olivier Aumont, Michio Watanabe, Akitomo Yamamoto, Andrew Yool, Tatiana Ilyina, Hiroyuki Tsujino, Kristen M. Krumhardt, Jörg Schwinger, Jerry Tjiputra, John P. Dunne, and Charles Stock
Biogeosciences, 20, 1195–1257, https://doi.org/10.5194/bg-20-1195-2023, https://doi.org/10.5194/bg-20-1195-2023, 2023
Short summary
Short summary
Ocean alkalinity is critical to the uptake of atmospheric carbon and acidification in surface waters. We review the representation of alkalinity and the associated calcium carbonate cycle in Earth system models. While many parameterizations remain present in the latest generation of models, there is a general improvement in the simulated alkalinity distribution. This improvement is related to an increase in the export of biotic calcium carbonate, which closer resembles observations.
Shuang Gao, Jörg Schwinger, Jerry Tjiputra, Ingo Bethke, Jens Hartmann, Emilio Mayorga, and Christoph Heinze
Biogeosciences, 20, 93–119, https://doi.org/10.5194/bg-20-93-2023, https://doi.org/10.5194/bg-20-93-2023, 2023
Short summary
Short summary
We assess the impact of riverine nutrients and carbon (C) on projected marine primary production (PP) and C uptake using a fully coupled Earth system model. Riverine inputs alleviate nutrient limitation and thus lessen the projected PP decline by up to 0.7 Pg C yr−1 globally. The effect of increased riverine C may be larger than the effect of nutrient inputs in the future on the projected ocean C uptake, while in the historical period increased nutrient inputs are considered the largest driver.
Pradeebane Vaittinada Ayar, Laurent Bopp, Jim R. Christian, Tatiana Ilyina, John P. Krasting, Roland Séférian, Hiroyuki Tsujino, Michio Watanabe, Andrew Yool, and Jerry Tjiputra
Earth Syst. Dynam., 13, 1097–1118, https://doi.org/10.5194/esd-13-1097-2022, https://doi.org/10.5194/esd-13-1097-2022, 2022
Short summary
Short summary
The El Niño–Southern Oscillation is the main driver for the natural variability of global atmospheric CO2. It modulates the CO2 fluxes in the tropical Pacific with anomalous CO2 influx during El Niño and outflux during La Niña. This relationship is projected to reverse by half of Earth system models studied here under the business-as-usual scenario. This study shows models that simulate a positive bias in surface carbonate concentrations simulate a shift in the ENSO–CO2 flux relationship.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
Josué Bock, Martine Michou, Pierre Nabat, Manabu Abe, Jane P. Mulcahy, Dirk J. L. Olivié, Jörg Schwinger, Parvadha Suntharalingam, Jerry Tjiputra, Marco van Hulten, Michio Watanabe, Andrew Yool, and Roland Séférian
Biogeosciences, 18, 3823–3860, https://doi.org/10.5194/bg-18-3823-2021, https://doi.org/10.5194/bg-18-3823-2021, 2021
Short summary
Short summary
In this study we analyse surface ocean dimethylsulfide (DMS) concentration and flux to the atmosphere from four CMIP6 Earth system models over the historical and ssp585 simulations.
Our analysis of contemporary (1980–2009) climatologies shows that models better reproduce observations in mid to high latitudes. The models disagree on the sign of the trend of the global DMS flux from 1980 onwards. The models agree on a positive trend of DMS over polar latitudes following sea-ice retreat dynamics.
Anne L. Morée, Jörg Schwinger, Ulysses S. Ninnemann, Aurich Jeltsch-Thömmes, Ingo Bethke, and Christoph Heinze
Clim. Past, 17, 753–774, https://doi.org/10.5194/cp-17-753-2021, https://doi.org/10.5194/cp-17-753-2021, 2021
Short summary
Short summary
This modeling study of the Last Glacial Maximum (LGM, ~ 21 000 years ago) ocean explores the biological and physical changes in the ocean needed to satisfy marine proxy records, with a focus on the carbon isotope 13C. We estimate that the LGM ocean may have been up to twice as efficient at sequestering carbon and nutrients at depth as compared to preindustrial times. Our work shows that both circulation and biogeochemical changes must have occurred between the LGM and preindustrial times.
Hanna Lee, Helene Muri, Altug Ekici, Jerry Tjiputra, and Jörg Schwinger
Earth Syst. Dynam., 12, 313–326, https://doi.org/10.5194/esd-12-313-2021, https://doi.org/10.5194/esd-12-313-2021, 2021
Short summary
Short summary
We assess how three different geoengineering methods using aerosol affect land ecosystem carbon storage. Changes in temperature and precipitation play a large role in vegetation carbon uptake and storage, but our results show that increased levels of CO2 also play a considerable role. We show that there are unforeseen regional consequences under geoengineering applications, and these consequences should be taken into account in future climate policies before implementing them.
Øyvind Seland, Mats Bentsen, Dirk Olivié, Thomas Toniazzo, Ada Gjermundsen, Lise Seland Graff, Jens Boldingh Debernard, Alok Kumar Gupta, Yan-Chun He, Alf Kirkevåg, Jörg Schwinger, Jerry Tjiputra, Kjetil Schanke Aas, Ingo Bethke, Yuanchao Fan, Jan Griesfeller, Alf Grini, Chuncheng Guo, Mehmet Ilicak, Inger Helene Hafsahl Karset, Oskar Landgren, Johan Liakka, Kine Onsum Moseid, Aleksi Nummelin, Clemens Spensberger, Hui Tang, Zhongshi Zhang, Christoph Heinze, Trond Iversen, and Michael Schulz
Geosci. Model Dev., 13, 6165–6200, https://doi.org/10.5194/gmd-13-6165-2020, https://doi.org/10.5194/gmd-13-6165-2020, 2020
Short summary
Short summary
The second version of the coupled Norwegian Earth System Model (NorESM2) is presented and evaluated. The temperature and precipitation patterns has improved compared to NorESM1. The model reaches present-day warming levels to within 0.2 °C of observed temperature but with a delayed warming during the late 20th century. Under the four scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5), the warming in the period of 2090–2099 compared to 1850–1879 reaches 1.3, 2.2, 3.1, and 3.9 K.
Vivek K. Arora, Anna Katavouta, Richard G. Williams, Chris D. Jones, Victor Brovkin, Pierre Friedlingstein, Jörg Schwinger, Laurent Bopp, Olivier Boucher, Patricia Cadule, Matthew A. Chamberlain, James R. Christian, Christine Delire, Rosie A. Fisher, Tomohiro Hajima, Tatiana Ilyina, Emilie Joetzjer, Michio Kawamiya, Charles D. Koven, John P. Krasting, Rachel M. Law, David M. Lawrence, Andrew Lenton, Keith Lindsay, Julia Pongratz, Thomas Raddatz, Roland Séférian, Kaoru Tachiiri, Jerry F. Tjiputra, Andy Wiltshire, Tongwen Wu, and Tilo Ziehn
Biogeosciences, 17, 4173–4222, https://doi.org/10.5194/bg-17-4173-2020, https://doi.org/10.5194/bg-17-4173-2020, 2020
Short summary
Short summary
Since the preindustrial period, land and ocean have taken up about half of the carbon emitted into the atmosphere by humans. Comparison of different earth system models with the carbon cycle allows us to assess how carbon uptake by land and ocean differs among models. This yields an estimate of uncertainty in our understanding of how land and ocean respond to increasing atmospheric CO2. This paper summarizes results from two such model intercomparison projects that use an idealized scenario.
Lester Kwiatkowski, Olivier Torres, Laurent Bopp, Olivier Aumont, Matthew Chamberlain, James R. Christian, John P. Dunne, Marion Gehlen, Tatiana Ilyina, Jasmin G. John, Andrew Lenton, Hongmei Li, Nicole S. Lovenduski, James C. Orr, Julien Palmieri, Yeray Santana-Falcón, Jörg Schwinger, Roland Séférian, Charles A. Stock, Alessandro Tagliabue, Yohei Takano, Jerry Tjiputra, Katsuya Toyama, Hiroyuki Tsujino, Michio Watanabe, Akitomo Yamamoto, Andrew Yool, and Tilo Ziehn
Biogeosciences, 17, 3439–3470, https://doi.org/10.5194/bg-17-3439-2020, https://doi.org/10.5194/bg-17-3439-2020, 2020
Short summary
Short summary
We assess 21st century projections of marine biogeochemistry in the CMIP6 Earth system models. These models represent the most up-to-date understanding of climate change. The models generally project greater surface ocean warming, acidification, subsurface deoxygenation, and euphotic nitrate reductions but lesser primary production declines than the previous generation of models. This has major implications for the impact of anthropogenic climate change on marine ecosystems.
Andrew H. MacDougall, Thomas L. Frölicher, Chris D. Jones, Joeri Rogelj, H. Damon Matthews, Kirsten Zickfeld, Vivek K. Arora, Noah J. Barrett, Victor Brovkin, Friedrich A. Burger, Micheal Eby, Alexey V. Eliseev, Tomohiro Hajima, Philip B. Holden, Aurich Jeltsch-Thömmes, Charles Koven, Nadine Mengis, Laurie Menviel, Martine Michou, Igor I. Mokhov, Akira Oka, Jörg Schwinger, Roland Séférian, Gary Shaffer, Andrei Sokolov, Kaoru Tachiiri, Jerry Tjiputra, Andrew Wiltshire, and Tilo Ziehn
Biogeosciences, 17, 2987–3016, https://doi.org/10.5194/bg-17-2987-2020, https://doi.org/10.5194/bg-17-2987-2020, 2020
Short summary
Short summary
The Zero Emissions Commitment (ZEC) is the change in global temperature expected to occur following the complete cessation of CO2 emissions. Here we use 18 climate models to assess the value of ZEC. For our experiment we find that ZEC 50 years after emissions cease is between −0.36 to +0.29 °C. The most likely value of ZEC is assessed to be close to zero. However, substantial continued warming for decades or centuries following cessation of CO2 emission cannot be ruled out.
Jerry F. Tjiputra, Jörg Schwinger, Mats Bentsen, Anne L. Morée, Shuang Gao, Ingo Bethke, Christoph Heinze, Nadine Goris, Alok Gupta, Yan-Chun He, Dirk Olivié, Øyvind Seland, and Michael Schulz
Geosci. Model Dev., 13, 2393–2431, https://doi.org/10.5194/gmd-13-2393-2020, https://doi.org/10.5194/gmd-13-2393-2020, 2020
Short summary
Short summary
Ocean biogeochemistry plays an important role in determining the atmospheric carbon dioxide concentration. Earth system models, which are regularly used to study and project future climate change, generally include an ocean biogeochemistry component. Prior to their application, such models are rigorously validated against real-world observations. In this study, we evaluate the ability of the ocean biogeochemistry in the Norwegian Earth System Model version 2 to simulate various datasets.
Chuncheng Guo, Mats Bentsen, Ingo Bethke, Mehmet Ilicak, Jerry Tjiputra, Thomas Toniazzo, Jörg Schwinger, and Odd Helge Otterå
Geosci. Model Dev., 12, 343–362, https://doi.org/10.5194/gmd-12-343-2019, https://doi.org/10.5194/gmd-12-343-2019, 2019
Short summary
Short summary
In this paper, we describe and evaluate a new variant of the Norwegian Earth System Model (NorESM). It is a computationally efficient model that is designed for experiments such as paleoclimate, carbon cycle, and large ensemble simulations. The model, with various recent code updates, shows improved climate performance compared to the CMIP5 version of NorESM, while the model resolution remains similar.
Bryan C. Lougheed, Brett Metcalfe, Ulysses S. Ninnemann, and Lukas Wacker
Clim. Past, 14, 515–526, https://doi.org/10.5194/cp-14-515-2018, https://doi.org/10.5194/cp-14-515-2018, 2018
Short summary
Short summary
Palaeoclimate reconstructions from deep-sea sediment archives provide valuable insight into past rapid climate change, but only a small proportion of the ocean is suitable for such reconstructions using the existing state of the art, i.e. the age–depth approach. We use dual radiocarbon (14C) and stable isotope analysis on single foraminifera to bypass the long-standing age–depth approach, thus facilitating past ocean chemistry reconstructions from vast, previously untapped ocean areas.
Siv K. Lauvset, Jerry Tjiputra, and Helene Muri
Biogeosciences, 14, 5675–5691, https://doi.org/10.5194/bg-14-5675-2017, https://doi.org/10.5194/bg-14-5675-2017, 2017
Short summary
Short summary
Solar radiation management (SRM) is suggested as a method to offset global warming and to buy time to reduce emissions. Here we use an Earth system model to project the impact of SRM on future ocean biogeochemistry. This work underscores the complexity of climate impacts on ocean primary production and highlights the fact that changes are driven by an integrated effect of many environmental drivers, which all change in different ways.
Jörg Schwinger, Jerry Tjiputra, Nadine Goris, Katharina D. Six, Alf Kirkevåg, Øyvind Seland, Christoph Heinze, and Tatiana Ilyina
Biogeosciences, 14, 3633–3648, https://doi.org/10.5194/bg-14-3633-2017, https://doi.org/10.5194/bg-14-3633-2017, 2017
Short summary
Short summary
Transient global warming under the high emission scenario RCP8.5 is amplified by up to 6 % if a pH dependency of marine DMS production is assumed. Importantly, this additional warming is not spatially homogeneous but shows a pronounced north–south gradient. Over the Antarctic continent, the additional warming is almost twice the global average. In the Southern Ocean we find a small DMS–climate feedback that counteracts the original reduction of DMS production due to ocean acidification.
Jörg Schwinger, Nadine Goris, Jerry F. Tjiputra, Iris Kriest, Mats Bentsen, Ingo Bethke, Mehmet Ilicak, Karen M. Assmann, and Christoph Heinze
Geosci. Model Dev., 9, 2589–2622, https://doi.org/10.5194/gmd-9-2589-2016, https://doi.org/10.5194/gmd-9-2589-2016, 2016
Short summary
Short summary
We present an evaluation of the ocean carbon cycle stand-alone configuration of the Norwegian Earth System Model. A re-tuning of the ecosystem parameterisation improves surface tracer fields between versions 1 and 1.2 of the model. Focus is placed on the evaluation of newly implemented parameterisations of the biological carbon pump (i.e. the sinking of particular organic carbon). We find that the model previously underestimated the carbon transport into the deep ocean below 2000 m depth.
Roland Séférian, Marion Gehlen, Laurent Bopp, Laure Resplandy, James C. Orr, Olivier Marti, John P. Dunne, James R. Christian, Scott C. Doney, Tatiana Ilyina, Keith Lindsay, Paul R. Halloran, Christoph Heinze, Joachim Segschneider, Jerry Tjiputra, Olivier Aumont, and Anastasia Romanou
Geosci. Model Dev., 9, 1827–1851, https://doi.org/10.5194/gmd-9-1827-2016, https://doi.org/10.5194/gmd-9-1827-2016, 2016
Short summary
Short summary
This paper explores how the large diversity in spin-up protocols used for ocean biogeochemistry in CMIP5 models contributed to inter-model differences in modeled fields. We show that a link between spin-up duration and skill-score metrics emerges from both individual IPSL-CM5A-LR's results and an ensemble of CMIP5 models. Our study suggests that differences in spin-up protocols constitute a source of inter-model uncertainty which would require more attention in future intercomparison exercises.
A. Kessler and J. Tjiputra
Earth Syst. Dynam., 7, 295–312, https://doi.org/10.5194/esd-7-295-2016, https://doi.org/10.5194/esd-7-295-2016, 2016
Short summary
Short summary
The uncertainty of ocean carbon uptake in ESMs is projected to grow 2-fold by the end of the 21st century. We found that models that take up anomalously low (high) CO2 in the Southern Ocean (SO) today project low (high) cumulative CO2 uptake in the 21st century; thus the SO can be used to constrain future global uptake uncertainty. Inter-model spread in the SO carbon sink arises from variations in the pCO2 seasonality, specifically bias in the simulated timing and amplitude of NPP and SST.
S. K. Lauvset, N. Gruber, P. Landschützer, A. Olsen, and J. Tjiputra
Biogeosciences, 12, 1285–1298, https://doi.org/10.5194/bg-12-1285-2015, https://doi.org/10.5194/bg-12-1285-2015, 2015
Short summary
Short summary
This paper utilizes the SOCATv2 data product to calculate surface ocean pH. The pH data are divided into 17 biomes, and a linear regression is used to derive the long-term trend of pH in each biome. The results are consistent with the trends observed at time series stations. The uncertainties are too large for a mechanistic understanding of the driving forces behind the trend, but there are indications that concurrent changes in chemistry create spatial variability.
L. Bopp, L. Resplandy, J. C. Orr, S. C. Doney, J. P. Dunne, M. Gehlen, P. Halloran, C. Heinze, T. Ilyina, R. Séférian, J. Tjiputra, and M. Vichi
Biogeosciences, 10, 6225–6245, https://doi.org/10.5194/bg-10-6225-2013, https://doi.org/10.5194/bg-10-6225-2013, 2013
V. Cocco, F. Joos, M. Steinacher, T. L. Frölicher, L. Bopp, J. Dunne, M. Gehlen, C. Heinze, J. Orr, A. Oschlies, B. Schneider, J. Segschneider, and J. Tjiputra
Biogeosciences, 10, 1849–1868, https://doi.org/10.5194/bg-10-1849-2013, https://doi.org/10.5194/bg-10-1849-2013, 2013
Related subject area
Subject: Carbon Cycle | Archive: Modelling only | Timescale: Millenial/D-O
Impact of iron fertilisation on atmospheric CO2 during the last glaciation
The atmospheric bridge communicated the δ13C decline during the last deglaciation to the global upper ocean
Mysteriously high Δ14C of the glacial atmosphere: influence of 14C production and carbon cycle changes
The influence of carbonate platform interactions with subduction zone volcanism on palaeo-atmospheric CO2 since the Devonian
Scaling laws for perturbations in the ocean–atmosphere system following large CO2 emissions
Systematic study of the impact of fresh water fluxes on the glacial carbon cycle
Fingerprints of changes in the terrestrial carbon cycle in response to large reorganizations in ocean circulation
Himadri Saini, Katrin J. Meissner, Laurie Menviel, and Karin Kvale
Clim. Past, 19, 1559–1584, https://doi.org/10.5194/cp-19-1559-2023, https://doi.org/10.5194/cp-19-1559-2023, 2023
Short summary
Short summary
Understanding the changes in atmospheric CO2 during the last glacial cycle is crucial to comprehend the impact of climate change in the future. Previous research has hypothesised a key role of greater aeolian iron input into the Southern Ocean in influencing the global atmospheric CO2 levels by impacting the changes in the marine phytoplankton response. In our study, we test this iron hypothesis using climate modelling and constrain the impact of ocean iron supply on global CO2 decrease.
Jun Shao, Lowell D. Stott, Laurie Menviel, Andy Ridgwell, Malin Ödalen, and Mayhar Mohtadi
Clim. Past, 17, 1507–1521, https://doi.org/10.5194/cp-17-1507-2021, https://doi.org/10.5194/cp-17-1507-2021, 2021
Short summary
Short summary
Planktic and shallow benthic foraminiferal stable carbon isotope
(δ13C) data show a rapid decline during the last deglaciation. This widespread signal was linked to respired carbon released from the deep ocean and its transport through the upper-ocean circulation. Using numerical simulations in which a stronger flux of respired carbon upwells and outcrops in the Southern Ocean, we find that the depleted δ13C signal is transmitted to the rest of the upper ocean through air–sea gas exchange.
Ashley Dinauer, Florian Adolphi, and Fortunat Joos
Clim. Past, 16, 1159–1185, https://doi.org/10.5194/cp-16-1159-2020, https://doi.org/10.5194/cp-16-1159-2020, 2020
Short summary
Short summary
Despite intense focus on the ~ 190 ‰ drop in Δ14C across the deglacial
mystery interval, the specific mechanisms responsible for the apparent Δ14C excess in the glacial atmosphere have received considerably less attention. Sensitivity experiments with the computationally efficient Bern3D Earth system model suggest that our inability to reproduce the elevated Δ14C levels during the last glacial may reflect an underestimation of 14C production and/or a biased-high reconstruction of Δ14C.
Jodie Pall, Sabin Zahirovic, Sebastiano Doss, Rakib Hassan, Kara J. Matthews, John Cannon, Michael Gurnis, Louis Moresi, Adrian Lenardic, and R. Dietmar Müller
Clim. Past, 14, 857–870, https://doi.org/10.5194/cp-14-857-2018, https://doi.org/10.5194/cp-14-857-2018, 2018
Short summary
Short summary
Subduction zones intersecting buried carbonate platforms liberate significant atmospheric CO2 and have the potential to influence global climate. We model the spatio-temporal distribution of carbonate platform accumulation within a plate tectonic framework and use wavelet analysis to analyse linked behaviour between atmospheric CO2 and carbonate-intersecting subduction zone (CISZ) lengths since the Devonian. We find that increasing CISZ lengths likely contributed to a warmer Palaeogene climate.
N. Towles, P. Olson, and A. Gnanadesikan
Clim. Past, 11, 991–1007, https://doi.org/10.5194/cp-11-991-2015, https://doi.org/10.5194/cp-11-991-2015, 2015
Short summary
Short summary
In this paper we find scaling relationships for perturbations to atmosphere and ocean variables from large transient CO2 emissions. We use a carbon cycle box model to calculate peak perturbations to a variety of ocean and atmosphere variables resulting from idealized emission events. As these scaling relationships depend on the physical setup, they represent a compact way of characterizing how different climates respond to large transient perturbations.
N. Bouttes, D. M. Roche, and D. Paillard
Clim. Past, 8, 589–607, https://doi.org/10.5194/cp-8-589-2012, https://doi.org/10.5194/cp-8-589-2012, 2012
A. Bozbiyik, M. Steinacher, F. Joos, T. F. Stocker, and L. Menviel
Clim. Past, 7, 319–338, https://doi.org/10.5194/cp-7-319-2011, https://doi.org/10.5194/cp-7-319-2011, 2011
Cited articles
Bentsen, M., Bethke, I., Debernard, J. B., Iversen, T., Kirkevåg, A.,
Seland, Ø., Drange, H., Roelandt, C., Seierstad, I. A., Hoose, C., and
Kristjánsson, J. E.: The Norwegian Earth System Model, NorESM1-M – Part
1: Description and basic evaluation of the physical climate, Geosci. Model
Dev., 6, 687–720, https://doi.org/10.5194/gmd-6-687-2013, 2013. a
Bernadello, R., Marinov, I., Palter, J. B., Sarmiento, J. L., Galbraith, E.
D., and Slater, R. D.: Response of the Ocean Natural Carbon Storage to
Projected Twenty–First–Century Climate Change, J. Climate, 27, 2033–2053,
https://doi.org/10.1175/JCLI-D-13-00343.1, 2014. a
Bleck, R., Rooth, C., Hu, D., and Smith, L. T.: Salinity-driven thermocline
transients in a wind– and thermohaline–forced isopycnic coordinate model of
the north Atlantic, J. Pys. Oceanogr., 22, 1486–1505,
https://doi.org/10.1175/1520-0485(1992)022<1486:SDTTIA>2.0.CO;2, 1992. a, b
Born, A., Nisancioglu, K. H., and Risebrobakken, B.: Late Eemian warming in
the Nordic Seas as seen in proxy data and climate models, Paleoceanography,
26, PA2207, https://doi.org/10.1073/pnas.1322103111, 2011. a
Broecker, W. S.: ”NO”, A conservative water-mass tracer, Earth Planet. Sc.
Lett., 23, 100–107, https://doi.org/10.1016/0012-821X(74)90036-3, 1974. a, b
Brovkin, V., Brücher, T., Kleinen, T., Zaehle, S., Joos, F., Roth, R.,
Spahni, R., Schmitt, J., Fischer, H., Leuenberger, M., Stone, E. J.,
Ridgwell, A., Chapellaz, J., Kehrwald, N., Barbante, C., Blunier, T., and
Jensen, D. D.: Comparative carbon cycle dynamics of the present and last
interglacial, Quaternary Sci. Rev., 137, 15–32,
https://doi.org/10.1016/j.quascirev.2016.01.028, 2016. a, b
Capron, E., Govin, A., Stone, E. J., Masson-Delmotte, V., Mulitza, S.,
Otto-Bliesner, B., Rasmussen, T. L., Sime, L. C., Waelbroeck, C., and Wolff,
E. W.: Temporal and spatial structure of multi-millennial temperature changes
at high latitudes during the Last Interglacial, J. Quaternary Sci., 103,
116–133, https://doi.org/10.1016/j.quascirev.2014.08.018, 2014. a
Dickson, A. G. and Millero, F. J.: A comparison of the equilibrium constants
for the dissociation of carbonic acid in seawater media, Deep-Sea Res., 34,
1733–1743, https://doi.org/10.1016/0198-0149(87)90021-5, 1987. a
Dorthe Dahl-Jensen, Gogineni, P., and White, J. W. C.: Reconstruction of the
last interglacial period from the NEEM ice core, Nature, 493, 489–489, 2013. a
Duteil, O., Koeve, W., Oschlies, A., Aumont, O., Bianchi, D., Bopp, L.,
Galbraith, E., Matear, R., Moore, J. K., Sarmiento, J. L., and Segschneider,
J.: Preformed and regenerated phosphate in ocean general circulation models:
can right total concentrations be wrong?, Biogeosciences, 9, 1797–1807,
https://doi.org/10.5194/bg-9-1797-2012, 2012. a
Eide, M., Olsen, A., Ninnemann, U. S., and Johannessen, T.: A global ocean
climatology of preindustrial and modern ocean δ13C, Global
Biogeochem. Cy., 31, 515–534, https://doi.org/10.1002/2016GB005473, 2017. a
Eppley, R. W.: Temperature and phytoplankton growth in the sea, Fish.
B.-NOAA, 70, 1063–1085, 1972. a
Ferrari, R., Jansen, M. F., Adkins, J. F., Burke, A., Stewart, A. L., and
Thompson, A. F.: Antarctic sea ice control on ocean circulation in present
and glacial climates, P. Natl. Acad. Sci. USA, 111,
8753–8758, https://doi.org/10.1073/pnas.1323922111, 2014. a, b
Follows, M. and Williams, R.: Mechanisms controlling the air–sea flux of
CO2 in the North Atlantic, The Ocean Carbon Cycle and Climate, edited
by: Follows, M. and Oguz, T., Kluwer Academic, 217–249,
https://doi.org/10.1007/978-1-4020-2087-2_7, 2004. a
Galaasen, E. V., Ninnemann, U. S., Irvali, N., Kleiven, H. F., Rosenthal, Y.,
Kissel, C., and Hodell, D. A.: Rapid Reductions in North Atlantic Deep Water
During the Peak of the Last Interglacial Period, Science, 343, 1129–1132,
https://doi.org/10.1126/science.1248667, 2014. a, b
Govin, A., Michel, E., Labeyrie, L., Waelbroeck, C., Dewilde, F., and Jansen,
E.: Evidence for northward expansion of Antarctic Bottom Water mass in the
Southern Ocean during the last glacial inception, Paleoceanography, 24,
PA1202, https://doi.org/10.1029/2008PA001603, 2009. a, b, c
Gu, D. and Philander, S. G. H.: Interdecadal climate fluctuations that depend
on exchanges between the tropics and extratropics, Science, 275, 805–807,
https://doi.org/10.1126/science.275.5301.805, 1997. a
Guo, C., Bentsen, M., Bethke, I., Ilicak, M., Tjiputra, J., Toniazzo, T.,
Schwinger, J., and Otterå, O. H.: Description and evaluation of
NorESM1-F: A fast version of the Norwegian Earth System Model (NorESM),
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-217, in review, 2018. a
Hayes, C. T., Martinez-Garcia, A., Hasenfratz, A., Jaccard, S. L., Hodell, D.
A., Sigman, D. M., Haug, G. H., and Anderson, R. F.: A stagnation event in
the deep South Atlantic during the last interglacial period, Science, 346,
1514–1517, https://doi.org/10.1126/science.1256620, 2014. a
Heinze, C., Maier-Reimer, E., Winguth, A. M. E., and Archer, D.: A global
oceanic sediment model for long-term climate studies, Global Biogeochem. Cy.,
13, 221–250, https://doi.org/10.1029/98GB02812, 1999. a
Hoffman, J. S., Clark, P. U., Parnell, A. C., and He, F.: Regional and global
sea-surface temperatures during the last interglaciation, Science, 355,
276–279, https://doi.org/10.1126/science.aai8464, 2017. a, b
Kessler, A.: NorESM-F_LIG115_LIG125_year_4951-5000 [Data set], Norstore,
https://doi.org/10.11582/2018.00038, 2018. a, b
Kleinen, T., Brovkin, V., and Munhoven, G.: Modelled interglacial carbon
cycle dynamics during the Holocene, the Eemian and Marine Isotope Stage (MIS)
11, Clim. Past, 12, 2145–2160, https://doi.org/10.5194/cp-12-2145-2016,
2016. a
Kopp, R. E., Simons, F. J., Mitrovica, J. X., Maloof, A. C., and Oppenheimer,
M.: Probabilistic assessment of sea level during the last interglacial stage,
Nature, 462, 863–867, https://doi.org/10.1038/nature08686, 2009. a
Lawrence, D. M., Oleson, K. W., Flanner, M. G., Fletcher, C. G., Lawrence, P.
J., Levis, S., Swenson, S. C., and Bonan, G. B.: The CCSM4 land simulation,
1850–2005: assessment of surface climate and new capabilities, J. Climate,
25, 2240–2260, https://doi.org/10.1175/JCLI-D-11-00103.1, 2012a. a
Lourantou, A., Chappellaz, J., Barnola, J. M., Masson-Delmotte, V., and
Raynaud, D.: Changes in atmospheric CO2 and its carbon isotopic ratio
during the penultimate deglaciation, Quaternary Sci. Rev., 29, 1983–1992,
https://doi.org/10.1016/j.quascirev.2010.05.002, 2010. a
Luo, Y., Tjiputra, J. F., Guo, C., Zhang, Z., and Lippold, J.: Atlantic deep
water circulation during the last interglacial, Sci. Rep.-UK, 8, 4401,
https://doi.org/10.1038/s41598-018-22534-z, 2018. a, b, c, d
Maier-Reimer, E.: Geochemical cycles in an ocean general circulation model,
preindustrial tracer distributions, Global Biogeochem. Cy., 7, 645–677,
https://doi.org/10.1029/93GB01355, 1993. a
Marinov, I., Gnanadesikan, A., Toggweiler, R., and Sarmiento, J. L.: The
Southern Ocean Biogeochemical Divide, Nature, 441, 946–967,
https://doi.org/10.1038/nature04883, 2006. a
Masson-Delmotte, V., Stenni, B., Pol, K., Braconnot, P., Cattani, O.,
Falourd, S., Kageyama, M., Jouzel, J., Landais, A., Minster, B., Barnola, J.
M., Chappellaz, J., Krinner, G., Johnsen, S., Röthlisberger, R., Hansen,
J., Mikolajewicz, U., and Otto-Bliesner, B.: EPICA Dome C record of glacial
and interglacial intensities, Quaternary Sci. Rev., 29, 113–128,
https://doi.org/10.1016/j.quascirev.2009.09.030, 2010. a
McManus, J. F., Oppo, D. W., Keigwin, L. D., Cullen, J. L., and Bond, G. C.:
Thermohaline circulation and prolonged interglacial warmth in the North
Atlantic, Quaternary Res., 58, 17–21, https://doi.org/10.1006/qres.2002.2367, 2002. a, b
Mehrbach, C., Culberson, C. H., Hawley, J. E., and Pytkwicz, R. M.:
Measurement of the apparent dissociation constants of carbonic acid in
seawater at atmospheric pressure, Limnol. Oceanogr., 18, 897–907,
https://doi.org/10.4319/lo.1973.18.6.0897, 1973. a
Menviel, L., Joos, F., and Ritz, S. P.: Simulating atmospheric CO2,
δ13C and the marine carbon cycle during the Last
Glaciale/Interglacial cycle: possible role for a deepening of the mean
remineralization depth and an increase in the oceanic nutrient inventory,
Quaternary Sci. Rev., 56, 46–68,
https://doi.org/10.1016/j.quascirev.2012.09.012, 2012. a
Menviel, L., England, M. H., Meissner, K. J., Mouchet, A., and Yu, J.:
Atlantic-Pacific seesaw and its role in outgassing CO2 during
Heinrich events, Paleoceanography, 29, 58–70, https://doi.org/10.1002/2013PA002542,
2014. a
Menviel, L., Mouchet, A., Meissner, K. J., Joos, F., and England, M. H.:
Impact of oceanic circulation changes on atmospheric δ13CO2,
Global Biogeochem. Cy., 29, 1944–1961, https://doi.org/10.1002/2015GB005207, 2015. a
Mokeddem, Z., McManus, J. F., and Oppo, D. W.: Oceanographic dynamics and the
end of the last interglacial in the subpolar North Atlantic, P. Natl. Acad.
Sci. USA, 111, 11253–11268, https://doi.org/10.1073/pnas.1322103111, 2014. a, b
Moore, J. K., Fu, W., Primeau, F., Britten, G. L., Lindsay, K., Long, M.,
Doney, S. C., Mahowald, N., Hoffman, F., and Randerson, J. T.: Sustained
climate warming drives declining marine biological productivity, Science,
359, 1139–1143, https://doi.org/10.1126/science.aao6379, 2018. a, b, c, d
Ninnemann, U. S. and Charles, C. D.: Changes in the mode of Southern Ocean
circulation over the last glacial cycle revealed by foraminiferal stable
isotopic variability, Earth Planet. Sc. Lett., 201, 383–396,
https://doi.org/10.1016/S0012-821X(02)00708-2, 2002. a
Ninnemann, U. S., Charles, C. D., and Hodell, D. A.: Origin of global
millennial scale climate events: constraints from the Southern Ocean deep sea
sedimentary record, Geophysical Monograph-American Geophysical Union, 112,
99–112, 1999. a
Otto-Bliesner, B. L., Marshall, S. J., Overpeck, J. T., Miller, G. H., Hu,
A., and CAPE Last Interglacial Project members: Simulating Arctic Climate
Warmth and Icefield Retreat in the Last Interglaciation, Science, 311,
1751–1753, https://doi.org/10.1126/science.1120808, 2006. a
Otto-Bliesner, B., Rosenbloom, N., Stone, E., Mckay, N. P., Lunt, D. J.,
Brady, E. C., and Overpeck, J. T.: How warm was the Last Interglacial? New
model-data comparisons, Philos. T. R. Soc. A, 371, 20130097,
https://doi.org/10.1098/rsta.2013.0097, 2013. a
Ridgwell, A.: Glaciale/Interglacial Perturbations in the Global Carbon Cycle,
PhD thesis, University of East Anglia, Norwich, UK, 2001. a
Röthlisberger, R., Mudelsee, M., Bigler, M., de Angelis, M., Fischer, H.,
Hansson, M., Lambert, F., Masson-Delmotte, V., Sime, L., Udisti, R., and
Wolff, E. W.: The Southern Hemisphere at glacial terminations: insights from
the Dome C ice core, Clim. Past, 4, 345–356,
https://doi.org/10.5194/cp-4-345-2008, 2008. a
Sarmiento, J. L., Slater, R., Barber, R., Bopp, L., Doney, S. C., Hirst, A.
C., Kleypas, J., Matear, R., Mikolajewicz, U., Monfray, P., Soldatov, V.,
Spall, S. A., and Stouffer, R.: Response of ocean ecosystems to climate
warming, Global Biogeochem. Cy., 18, GB3003, https://doi.org/10.1029/2003GB002134,
2004a. a
Sarmiento, J. L., Gruber N., Brzezinski, M. A., and Dunne, J. P.:
High-latitude controls of thermocline nutrients and low latitude biological
productivity, Nature, 427, 56–60, https://doi.org/10.1038/nature02127, 2004b. a
Schneider, R., Schmitt, J., Köhler, P., Joos, F., and Fischer, H.: A
reconstruction of atmospheric carbon dioxide and its stable carbon isotopic
composition from the penultimate glacial maximum to the last glacial
inception, Clim. Past, 9, 2507–2523, https://doi.org/10.5194/cp-9-2507-2013,
2013. a
Schurgers, G., Mikolajewicz, U., Gröger, M., Maier-Reimer, E.,
Vizcaíno, M., and Winguth, A.: Dynamics of the terrestrial biosphere,
climate and atmospheric CO2 concentration during interglacials: a
comparison between Eemian and Holocene, Clim. Past, 2, 205–220,
https://doi.org/10.5194/cp-2-205-2006, 2006. a, b
Sigman, D. and Boyle, E.: Glacial/interglacial variations in atmospheric
carbon dioxide, Nature, 407, 859–869, https://doi.org/10.1038/35038000, 2000. a
Smith, E. L.: Photosynthesis in relation to light and carbon dioxide, P.
Natl. Acad. Sci. USA, 22, 504–511, 1936. a
Stocker, T. F. and Schmittner, A.: Influence of CO2 emission rates
on the stability of the thermohaline circulation, Nature, 388, 862–865,
https://doi.org/10.1038/42224, 1997. a
Tjiputra, J. F., Roelandt, C., Bentsen, M., Lawrence, D. M., Lorentzen, T.,
Schwinger, J., Seland, Ø., and Heinze, C.: Evaluation of the carbon cycle
components in the Norwegian Earth System Model (NorESM), Geosci. Model Dev.,
6, 301–325, https://doi.org/10.5194/gmd-6-301-2013, 2013. a
Turney, C. S. M. and Jones, R. T.: Does the Agulhas Current amplify global
temperatures during super-interglacials?, J. Quaternary Sci., 25, 839–843,
https://doi.org/10.1002/jqs.1423, 2010. a
van Heuven, S., Pierrot, D., Rae, J. W. B., 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, available
at: http://cdiac.ornl.gov/ftp/co2sys/CO2SYS_calc_MATLAB_v1.1/ (last
access: 5 December 2018), 2011. a
Wang Z. and Mysak, L. A.: Simulation of the last glacial inception and rapid
ice sheet growth in the McGill Paleoclimate Model, Geophys. Res. Lett., 29,
2102, https://doi.org/10.1029/2002GL015120, 2002.
a
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. a
Weiss, R. F.: The solubility of nitrogen, oxygen and argon in water and sea
water, Deep-Sea Res., 17, 721–735,
https://doi.org/10.1016/0011-7471(70)90037-9, 1970. a
Weiss, R. F.: Carbon dioxide in water and seawater: the solubility of a
non–ideal gas, Mar. Chem., 2, 203–215,
https://doi.org/10.1016/0304-4203(74)90015-2, 1974. a
Wolff, E. W., Fischer, H., Fundel, F., Ruth, U., Twarloh, B., Littot, G. C.,
Mulvaney, R., Röthlisberger, R., de Angelis, M., Boutron, C. F., Hansson,
M., Jonsell, U., Hutterli, M. A., Lambert, F., Kaufmann, P., Stauffer, B.,
Stocker, T. F., Steffensen, J. P., Bigler, M., Siggaard-Andersen, M. L.,
Udisti, R., Becagli, S., Castellano, E., Severi, M., Wagenbach, D., Barbante,
C., Gabrielli P., and Gaspari, V.: Southern Ocean sea-ice extent, productivity
and iron flux over the past eight glacial cycles, Nature, 440, 491–496,
https://doi.org/10.1038/nature04614, 2006. a
Short summary
We analyze the changes in oceanic carbon dynamics, using a state-of-the-art Earth system model, by comparing two quasi-equilibrium states: the early, warm Eemian (125 ka) versus the cooler, late Eemian (115 ka). Our results suggest a considerably weaker ocean dissolved inorganic carbon storage at 125 ka, an alteration of the deep-water geometry and ventilation in the South Atlantic, and heterogeneous changes in phosphate availability and carbon export between the Pacific and Atlantic basins.
We analyze the changes in oceanic carbon dynamics, using a state-of-the-art Earth system model,...
