Articles | Volume 14, issue 5
https://doi.org/10.5194/gmd-14-2317-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-2317-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Comparison of ocean vertical mixing schemes in the Max Planck Institute Earth System Model (MPI-ESM1.2)
Oliver Gutjahr
CORRESPONDING AUTHOR
Max Planck Institute for Meteorology, Hamburg, Germany
currently at: Institut für Meereskunde, Universität Hamburg, Hamburg, Germany
Nils Brüggemann
Institut für Meereskunde, Universtät Hamburg, Hamburg, Germany
Max Planck Institute for Meteorology, Hamburg, Germany
Helmuth Haak
Max Planck Institute for Meteorology, Hamburg, Germany
Johann H. Jungclaus
Max Planck Institute for Meteorology, Hamburg, Germany
Dian A. Putrasahan
Max Planck Institute for Meteorology, Hamburg, Germany
Katja Lohmann
Max Planck Institute for Meteorology, Hamburg, Germany
Jin-Song von Storch
Max Planck Institute for Meteorology, Hamburg, Germany
Center for Earth System Research and Sustainability (CEN), University of Hamburg, Hamburg, Germany
Related authors
Oliver Gutjahr
EGUsphere, https://doi.org/10.5194/egusphere-2025-906, https://doi.org/10.5194/egusphere-2025-906, 2025
Preprint archived
Short summary
Short summary
The global ICON model, one of the world’s leading climate and Earth system models, had fundamental errors in its sea ice simulation. These issues caused excessive ice drift and overly mobile ice that fractured too easily, leading to unrealistic open water patches. After correcting these errors, the sea ice drift and coverage improved, now aligning well with observations. This study marks a turning point in ICON’s sea ice representation, ensuring more accurate simulations at all resolutions.
Swantje Bastin, Aleksei Koldunov, Florian Schütte, Oliver Gutjahr, Marta Agnieszka Mrozowska, Tim Fischer, Radomyra Shevchenko, Arjun Kumar, Nikolay Koldunov, Helmuth Haak, Nils Brüggemann, Rebecca Hummels, Mia Sophie Specht, Johann Jungclaus, Sergey Danilov, Marcus Dengler, and Markus Jochum
Geosci. Model Dev., 18, 1189–1220, https://doi.org/10.5194/gmd-18-1189-2025, https://doi.org/10.5194/gmd-18-1189-2025, 2025
Short summary
Short summary
Vertical mixing is an important process, for example, for tropical sea surface temperature, but cannot be resolved by ocean models. Comparisons of mixing schemes and settings have usually been done with a single model, sometimes yielding conflicting results. We systematically compare two widely used schemes with different parameter settings in two different ocean models and show that most effects from mixing scheme parameter changes are model-dependent.
Hans Segura, Xabier Pedruzo-Bagazgoitia, Philipp Weiss, Sebastian K. Müller, Thomas Rackow, Junhong Lee, Edgar Dolores-Tesillos, Imme Benedict, Matthias Aengenheyster, Razvan Aguridan, Gabriele Arduini, Alexander J. Baker, Jiawei Bao, Swantje Bastin, Eulàlia Baulenas, Tobias Becker, Sebastian Beyer, Hendryk Bockelmann, Nils Brüggemann, Lukas Brunner, Suvarchal K. Cheedela, Sushant Das, Jasper Denissen, Ian Dragaud, Piotr Dziekan, Madeleine Ekblom, Jan Frederik Engels, Monika Esch, Richard Forbes, Claudia Frauen, Lilli Freischem, Diego García-Maroto, Philipp Geier, Paul Gierz, Álvaro González-Cervera, Katherine Grayson, Matthew Griffith, Oliver Gutjahr, Helmuth Haak, Ioan Hadade, Kerstin Haslehner, Shabeh ul Hasson, Jan Hegewald, Lukas Kluft, Aleksei Koldunov, Nikolay Koldunov, Tobias Kölling, Shunya Koseki, Sergey Kosukhin, Josh Kousal, Peter Kuma, Arjun U. Kumar, Rumeng Li, Nicolas Maury, Maximilian Meindl, Sebastian Milinski, Kristian Mogensen, Bimochan Niraula, Jakub Nowak, Divya Sri Praturi, Ulrike Proske, Dian Putrasahan, René Redler, David Santuy, Domokos Sármány, Reiner Schnur, Patrick Scholz, Dmitry Sidorenko, Dorian Spät, Birgit Sützl, Daisuke Takasuka, Adrian Tompkins, Alejandro Uribe, Mirco Valentini, Menno Veerman, Aiko Voigt, Sarah Warnau, Fabian Wachsmann, Marta Wacławczyk, Nils Wedi, Karl-Hermann Wieners, Jonathan Wille, Marius Winkler, Yuting Wu, Florian Ziemen, Janos Zimmermann, Frida A.-M. Bender, Dragana Bojovic, Sandrine Bony, Simona Bordoni, Patrice Brehmer, Marcus Dengler, Emanuel Dutra, Saliou Faye, Erich Fischer, Chiel van Heerwaarden, Cathy Hohenegger, Heikki Järvinen, Markus Jochum, Thomas Jung, Johann H. Jungclaus, Noel S. Keenlyside, Daniel Klocke, Heike Konow, Martina Klose, Szymon Malinowski, Olivia Martius, Thorsten Mauritsen, Juan Pedro Mellado, Theresa Mieslinger, Elsa Mohino, Hanna Pawłowska, Karsten Peters-von Gehlen, Abdoulaye Sarré, Pajam Sobhani, Philip Stier, Lauri Tuppi, Pier Luigi Vidale, Irina Sandu, and Bjorn Stevens
EGUsphere, https://doi.org/10.5194/egusphere-2025-509, https://doi.org/10.5194/egusphere-2025-509, 2025
Short summary
Short summary
The nextGEMS project developed two Earth system models that resolve processes of the order of 10 km, giving more fidelity to the representation of local phenomena, globally. In its fourth cycle, nextGEMS performed simulations with coupled ocean, land, and atmosphere over the 2020–2049 period under the SSP3-7.0 scenario. Here, we provide an overview of nextGEMS, insights into the model development, and the realism of multi-decadal, kilometer-scale simulations.
Ulrike Proske, Nils Brüggemann, Jan P. Gärtner, Oliver Gutjahr, Helmuth Haak, Dian Putrasahan, and Karl-Hermann Wieners
EGUsphere, https://doi.org/10.5194/egusphere-2024-3493, https://doi.org/10.5194/egusphere-2024-3493, 2024
Preprint archived
Short summary
Short summary
Climate models contain coding mistakes, which may look mundane, but can affect the results of interconnected and complex models in unforeseen ways. We describe a sea ice bug in the coupled atmosphere-ocean-sea ice model ICON, giving an example of visual and concise bug communication. This bug represents a novel species of resolution-dependent bugs. The case illustrates the value of open documentation of bugs in climate models and to encourage our community to adopt a similar approach.
Cathy Hohenegger, Peter Korn, Leonidas Linardakis, René Redler, Reiner Schnur, Panagiotis Adamidis, Jiawei Bao, Swantje Bastin, Milad Behravesh, Martin Bergemann, Joachim Biercamp, Hendryk Bockelmann, Renate Brokopf, Nils Brüggemann, Lucas Casaroli, Fatemeh Chegini, George Datseris, Monika Esch, Geet George, Marco Giorgetta, Oliver Gutjahr, Helmuth Haak, Moritz Hanke, Tatiana Ilyina, Thomas Jahns, Johann Jungclaus, Marcel Kern, Daniel Klocke, Lukas Kluft, Tobias Kölling, Luis Kornblueh, Sergey Kosukhin, Clarissa Kroll, Junhong Lee, Thorsten Mauritsen, Carolin Mehlmann, Theresa Mieslinger, Ann Kristin Naumann, Laura Paccini, Angel Peinado, Divya Sri Praturi, Dian Putrasahan, Sebastian Rast, Thomas Riddick, Niklas Roeber, Hauke Schmidt, Uwe Schulzweida, Florian Schütte, Hans Segura, Radomyra Shevchenko, Vikram Singh, Mia Specht, Claudia Christine Stephan, Jin-Song von Storch, Raphaela Vogel, Christian Wengel, Marius Winkler, Florian Ziemen, Jochem Marotzke, and Bjorn Stevens
Geosci. Model Dev., 16, 779–811, https://doi.org/10.5194/gmd-16-779-2023, https://doi.org/10.5194/gmd-16-779-2023, 2023
Short summary
Short summary
Models of the Earth system used to understand climate and predict its change typically employ a grid spacing of about 100 km. Yet, many atmospheric and oceanic processes occur on much smaller scales. In this study, we present a new model configuration designed for the simulation of the components of the Earth system and their interactions at kilometer and smaller scales, allowing an explicit representation of the main drivers of the flow of energy and matter by solving the underlying equations.
Eduardo Moreno-Chamarro, Louis-Philippe Caron, Saskia Loosveldt Tomas, Javier Vegas-Regidor, Oliver Gutjahr, Marie-Pierre Moine, Dian Putrasahan, Christopher D. Roberts, Malcolm J. Roberts, Retish Senan, Laurent Terray, Etienne Tourigny, and Pier Luigi Vidale
Geosci. Model Dev., 15, 269–289, https://doi.org/10.5194/gmd-15-269-2022, https://doi.org/10.5194/gmd-15-269-2022, 2022
Short summary
Short summary
Climate models do not fully reproduce observations: they show differences (biases) in regional temperature, precipitation, or cloud cover. Reducing model biases is important to increase our confidence in their ability to reproduce present and future climate changes. Model realism is set by its resolution: the finer it is, the more physical processes and interactions it can resolve. We here show that increasing resolution of up to ~ 25 km can help reduce model biases but not remove them entirely.
Félix García-Pereira, Jesús Fidel González-Rouco, Nagore Meabe-Yanguas, Philipp de Vrese, Norman Julius Steinert, Johann Jungclaus, and Stephan Lorenz
EGUsphere, https://doi.org/10.5194/egusphere-2025-2126, https://doi.org/10.5194/egusphere-2025-2126, 2025
Short summary
Short summary
This work shows that changing the hydrological state of permafrost produces differences of up to 3 °C in the annual ground temperature, 1–2 m in the active layer thickness, and 5 million km2 in the permafrost extent. Including a deeper vertical thermal scheme reduces the extent decline by more than 2 million km2 in the highest radiative emission scenario. This is shown for the first time in fully-coupled experiments with an Earth System Model.
Wolfgang A. Müller, Stephan Lorenz, Trang V. Pham, Andrea Schneidereit, Renate Brokopf, Victor Brovkin, Nils Brüggemann, Fatemeh Chegini, Dietmar Dommenget, Kristina Fröhlich, Barbara Früh, Veronika Gayler, Helmuth Haak, Stefan Hagemann, Moritz Hanke, Tatiana Ilyina, Johann Jungclaus, Martin Köhler, Peter Korn, Luis Kornblüh, Clarissa Kroll, Julian Krüger, Karel Castro-Morales, Ulrike Niemeier, Holger Pohlmann, Iuliia Polkova, Roland Potthast, Thomas Riddick, Manuel Schlund, Tobias Stacke, Roland Wirth, Dakuan Yu, and Jochem Marotzke
EGUsphere, https://doi.org/10.5194/egusphere-2025-2473, https://doi.org/10.5194/egusphere-2025-2473, 2025
Short summary
Short summary
ICON XPP is a newly developed Earth System model configuration based on the ICON modeling framework. It merges accomplishments from the recent operational numerical weather prediction model with well-established climate components for the ocean, land and ocean-biogeochemistry. ICON XPP reaches typical targets of a coupled climate simulation, and is able to run long integrations and large-ensemble experiments, making it suitable for climate predictions and projections, and for climate research.
Oliver Gutjahr
EGUsphere, https://doi.org/10.5194/egusphere-2025-906, https://doi.org/10.5194/egusphere-2025-906, 2025
Preprint archived
Short summary
Short summary
The global ICON model, one of the world’s leading climate and Earth system models, had fundamental errors in its sea ice simulation. These issues caused excessive ice drift and overly mobile ice that fractured too easily, leading to unrealistic open water patches. After correcting these errors, the sea ice drift and coverage improved, now aligning well with observations. This study marks a turning point in ICON’s sea ice representation, ensuring more accurate simulations at all resolutions.
Swantje Bastin, Aleksei Koldunov, Florian Schütte, Oliver Gutjahr, Marta Agnieszka Mrozowska, Tim Fischer, Radomyra Shevchenko, Arjun Kumar, Nikolay Koldunov, Helmuth Haak, Nils Brüggemann, Rebecca Hummels, Mia Sophie Specht, Johann Jungclaus, Sergey Danilov, Marcus Dengler, and Markus Jochum
Geosci. Model Dev., 18, 1189–1220, https://doi.org/10.5194/gmd-18-1189-2025, https://doi.org/10.5194/gmd-18-1189-2025, 2025
Short summary
Short summary
Vertical mixing is an important process, for example, for tropical sea surface temperature, but cannot be resolved by ocean models. Comparisons of mixing schemes and settings have usually been done with a single model, sometimes yielding conflicting results. We systematically compare two widely used schemes with different parameter settings in two different ocean models and show that most effects from mixing scheme parameter changes are model-dependent.
Ting-Chen Chen, Hugues Goosse, Matthias Aengenheyster, Kristian Strommen, Christopher Roberts, Malcolm Roberts, Rohit Ghosh, Jin-Song von Storch, and Stephy Libera
EGUsphere, https://doi.org/10.5194/egusphere-2025-666, https://doi.org/10.5194/egusphere-2025-666, 2025
Short summary
Short summary
The Southern Annular Mode (SAM) is a key driver of Southern Hemisphere climate variability, but global models often overestimate its persistence in summer. Using high-resolution models, we show this bias can be reduced, along with some improvements in jet latitude and likely a better-resolved eddy-mean flow feedback. Controlled experiments reveal the potential roles of sea surface temperature biases and ocean mesoscales, underscoring the complex mechanisms shaping SAM persistence.
Hans Segura, Xabier Pedruzo-Bagazgoitia, Philipp Weiss, Sebastian K. Müller, Thomas Rackow, Junhong Lee, Edgar Dolores-Tesillos, Imme Benedict, Matthias Aengenheyster, Razvan Aguridan, Gabriele Arduini, Alexander J. Baker, Jiawei Bao, Swantje Bastin, Eulàlia Baulenas, Tobias Becker, Sebastian Beyer, Hendryk Bockelmann, Nils Brüggemann, Lukas Brunner, Suvarchal K. Cheedela, Sushant Das, Jasper Denissen, Ian Dragaud, Piotr Dziekan, Madeleine Ekblom, Jan Frederik Engels, Monika Esch, Richard Forbes, Claudia Frauen, Lilli Freischem, Diego García-Maroto, Philipp Geier, Paul Gierz, Álvaro González-Cervera, Katherine Grayson, Matthew Griffith, Oliver Gutjahr, Helmuth Haak, Ioan Hadade, Kerstin Haslehner, Shabeh ul Hasson, Jan Hegewald, Lukas Kluft, Aleksei Koldunov, Nikolay Koldunov, Tobias Kölling, Shunya Koseki, Sergey Kosukhin, Josh Kousal, Peter Kuma, Arjun U. Kumar, Rumeng Li, Nicolas Maury, Maximilian Meindl, Sebastian Milinski, Kristian Mogensen, Bimochan Niraula, Jakub Nowak, Divya Sri Praturi, Ulrike Proske, Dian Putrasahan, René Redler, David Santuy, Domokos Sármány, Reiner Schnur, Patrick Scholz, Dmitry Sidorenko, Dorian Spät, Birgit Sützl, Daisuke Takasuka, Adrian Tompkins, Alejandro Uribe, Mirco Valentini, Menno Veerman, Aiko Voigt, Sarah Warnau, Fabian Wachsmann, Marta Wacławczyk, Nils Wedi, Karl-Hermann Wieners, Jonathan Wille, Marius Winkler, Yuting Wu, Florian Ziemen, Janos Zimmermann, Frida A.-M. Bender, Dragana Bojovic, Sandrine Bony, Simona Bordoni, Patrice Brehmer, Marcus Dengler, Emanuel Dutra, Saliou Faye, Erich Fischer, Chiel van Heerwaarden, Cathy Hohenegger, Heikki Järvinen, Markus Jochum, Thomas Jung, Johann H. Jungclaus, Noel S. Keenlyside, Daniel Klocke, Heike Konow, Martina Klose, Szymon Malinowski, Olivia Martius, Thorsten Mauritsen, Juan Pedro Mellado, Theresa Mieslinger, Elsa Mohino, Hanna Pawłowska, Karsten Peters-von Gehlen, Abdoulaye Sarré, Pajam Sobhani, Philip Stier, Lauri Tuppi, Pier Luigi Vidale, Irina Sandu, and Bjorn Stevens
EGUsphere, https://doi.org/10.5194/egusphere-2025-509, https://doi.org/10.5194/egusphere-2025-509, 2025
Short summary
Short summary
The nextGEMS project developed two Earth system models that resolve processes of the order of 10 km, giving more fidelity to the representation of local phenomena, globally. In its fourth cycle, nextGEMS performed simulations with coupled ocean, land, and atmosphere over the 2020–2049 period under the SSP3-7.0 scenario. Here, we provide an overview of nextGEMS, insights into the model development, and the realism of multi-decadal, kilometer-scale simulations.
Evelien J. C. van Dijk, Christoph C. Raible, Michael Sigl, Johann Jungclaus, and Heinz Wanner
Clim. Past Discuss., https://doi.org/10.5194/cp-2024-79, https://doi.org/10.5194/cp-2024-79, 2024
Manuscript not accepted for further review
Short summary
Short summary
The temperature in the past 4000 years consisted of warm and cold periods, initiated by external forcing. But, these periods are not consistent through time and space. We use climate models and reconstructions to study to which extent the periods are reflected in the European climate. We find that on local scales, the chaotic nature of the climate system is larger than the external forcing. This study shows that these periods have to be used very carefully when studying a local site.
Ulrike Proske, Nils Brüggemann, Jan P. Gärtner, Oliver Gutjahr, Helmuth Haak, Dian Putrasahan, and Karl-Hermann Wieners
EGUsphere, https://doi.org/10.5194/egusphere-2024-3493, https://doi.org/10.5194/egusphere-2024-3493, 2024
Preprint archived
Short summary
Short summary
Climate models contain coding mistakes, which may look mundane, but can affect the results of interconnected and complex models in unforeseen ways. We describe a sea ice bug in the coupled atmosphere-ocean-sea ice model ICON, giving an example of visual and concise bug communication. This bug represents a novel species of resolution-dependent bugs. The case illustrates the value of open documentation of bugs in climate models and to encourage our community to adopt a similar approach.
Félix García-Pereira, Jesús Fidel González-Rouco, Camilo Melo-Aguilar, Norman Julius Steinert, Elena García-Bustamante, Philip de Vrese, Johann Jungclaus, Stephan Lorenz, Stefan Hagemann, Francisco José Cuesta-Valero, Almudena García-García, and Hugo Beltrami
Earth Syst. Dynam., 15, 547–564, https://doi.org/10.5194/esd-15-547-2024, https://doi.org/10.5194/esd-15-547-2024, 2024
Short summary
Short summary
According to climate model estimates, the land stored 2 % of the system's heat excess in the last decades, while observational studies show it was around 6 %. This difference stems from these models using land components that are too shallow to constrain land heat uptake. Deepening the land component does not affect the surface temperature. This result can be used to derive land heat uptake estimates from different sources, which are much closer to previous observational reports.
Bjorn Stevens, Stefan Adami, Tariq Ali, Hartwig Anzt, Zafer Aslan, Sabine Attinger, Jaana Bäck, Johanna Baehr, Peter Bauer, Natacha Bernier, Bob Bishop, Hendryk Bockelmann, Sandrine Bony, Guy Brasseur, David N. Bresch, Sean Breyer, Gilbert Brunet, Pier Luigi Buttigieg, Junji Cao, Christelle Castet, Yafang Cheng, Ayantika Dey Choudhury, Deborah Coen, Susanne Crewell, Atish Dabholkar, Qing Dai, Francisco Doblas-Reyes, Dale Durran, Ayoub El Gaidi, Charlie Ewen, Eleftheria Exarchou, Veronika Eyring, Florencia Falkinhoff, David Farrell, Piers M. Forster, Ariane Frassoni, Claudia Frauen, Oliver Fuhrer, Shahzad Gani, Edwin Gerber, Debra Goldfarb, Jens Grieger, Nicolas Gruber, Wilco Hazeleger, Rolf Herken, Chris Hewitt, Torsten Hoefler, Huang-Hsiung Hsu, Daniela Jacob, Alexandra Jahn, Christian Jakob, Thomas Jung, Christopher Kadow, In-Sik Kang, Sarah Kang, Karthik Kashinath, Katharina Kleinen-von Königslöw, Daniel Klocke, Uta Kloenne, Milan Klöwer, Chihiro Kodama, Stefan Kollet, Tobias Kölling, Jenni Kontkanen, Steve Kopp, Michal Koran, Markku Kulmala, Hanna Lappalainen, Fakhria Latifi, Bryan Lawrence, June Yi Lee, Quentin Lejeun, Christian Lessig, Chao Li, Thomas Lippert, Jürg Luterbacher, Pekka Manninen, Jochem Marotzke, Satoshi Matsouoka, Charlotte Merchant, Peter Messmer, Gero Michel, Kristel Michielsen, Tomoki Miyakawa, Jens Müller, Ramsha Munir, Sandeep Narayanasetti, Ousmane Ndiaye, Carlos Nobre, Achim Oberg, Riko Oki, Tuba Özkan-Haller, Tim Palmer, Stan Posey, Andreas Prein, Odessa Primus, Mike Pritchard, Julie Pullen, Dian Putrasahan, Johannes Quaas, Krishnan Raghavan, Venkatachalam Ramaswamy, Markus Rapp, Florian Rauser, Markus Reichstein, Aromar Revi, Sonakshi Saluja, Masaki Satoh, Vera Schemann, Sebastian Schemm, Christina Schnadt Poberaj, Thomas Schulthess, Cath Senior, Jagadish Shukla, Manmeet Singh, Julia Slingo, Adam Sobel, Silvina Solman, Jenna Spitzer, Philip Stier, Thomas Stocker, Sarah Strock, Hang Su, Petteri Taalas, John Taylor, Susann Tegtmeier, Georg Teutsch, Adrian Tompkins, Uwe Ulbrich, Pier-Luigi Vidale, Chien-Ming Wu, Hao Xu, Najibullah Zaki, Laure Zanna, Tianjun Zhou, and Florian Ziemen
Earth Syst. Sci. Data, 16, 2113–2122, https://doi.org/10.5194/essd-16-2113-2024, https://doi.org/10.5194/essd-16-2113-2024, 2024
Short summary
Short summary
To manage Earth in the Anthropocene, new tools, new institutions, and new forms of international cooperation will be required. Earth Virtualization Engines is proposed as an international federation of centers of excellence to empower all people to respond to the immense and urgent challenges posed by climate change.
Abhiraj Bishnoi, Olaf Stein, Catrin I. Meyer, René Redler, Norbert Eicker, Helmuth Haak, Lars Hoffmann, Daniel Klocke, Luis Kornblueh, and Estela Suarez
Geosci. Model Dev., 17, 261–273, https://doi.org/10.5194/gmd-17-261-2024, https://doi.org/10.5194/gmd-17-261-2024, 2024
Short summary
Short summary
We enabled the weather and climate model ICON to run in a high-resolution coupled atmosphere–ocean setup on the JUWELS supercomputer, where the ocean and the model I/O runs on the CPU Cluster, while the atmosphere is running simultaneously on GPUs. Compared to a simulation performed on CPUs only, our approach reduces energy consumption by 45 % with comparable runtimes. The experiments serve as preparation for efficient computing of kilometer-scale climate models on future supercomputing systems.
Jin-Song von Storch, Eileen Hertwig, Veit Lüschow, Nils Brüggemann, Helmuth Haak, Peter Korn, and Vikram Singh
Geosci. Model Dev., 16, 5179–5196, https://doi.org/10.5194/gmd-16-5179-2023, https://doi.org/10.5194/gmd-16-5179-2023, 2023
Short summary
Short summary
The new ocean general circulation model ICON-O is developed for running experiments at kilometer scales and beyond. One targeted application is to simulate internal tides crucial for ocean mixing. To ensure their realism, which is difficult to assess, we evaluate the barotropic tides that generate internal tides. We show that ICON-O is able to realistically simulate the major aspects of the observed barotropic tides and discuss the aspects that impact the quality of the simulated tides.
Laura C. Jackson, Eduardo Alastrué de Asenjo, Katinka Bellomo, Gokhan Danabasoglu, Helmuth Haak, Aixue Hu, Johann Jungclaus, Warren Lee, Virna L. Meccia, Oleg Saenko, Andrew Shao, and Didier Swingedouw
Geosci. Model Dev., 16, 1975–1995, https://doi.org/10.5194/gmd-16-1975-2023, https://doi.org/10.5194/gmd-16-1975-2023, 2023
Short summary
Short summary
The Atlantic meridional overturning circulation (AMOC) has an important impact on the climate. There are theories that freshening of the ocean might cause the AMOC to cross a tipping point (TP) beyond which recovery is difficult; however, it is unclear whether TPs exist in global climate models. Here, we outline a set of experiments designed to explore AMOC tipping points and sensitivity to additional freshwater input as part of the North Atlantic Hosing Model Intercomparison Project (NAHosMIP).
Evelien van Dijk, Ingar Mørkestøl Gundersen, Anna de Bode, Helge Høeg, Kjetil Loftsgarden, Frode Iversen, Claudia Timmreck, Johann Jungclaus, and Kirstin Krüger
Clim. Past, 19, 357–398, https://doi.org/10.5194/cp-19-357-2023, https://doi.org/10.5194/cp-19-357-2023, 2023
Short summary
Short summary
The mid-6th century was one of the coldest periods of the last 2000 years as characterized by great societal changes. Here, we study the effect of the volcanic double event in 536 CE and 540 CE on climate and society in southern Norway. The combined climate and growing degree day models and high-resolution pollen and archaeological records reveal that the northern and western sites are vulnerable to crop failure with possible abandonment of farms, whereas the southeastern site is more resilient.
Cathy Hohenegger, Peter Korn, Leonidas Linardakis, René Redler, Reiner Schnur, Panagiotis Adamidis, Jiawei Bao, Swantje Bastin, Milad Behravesh, Martin Bergemann, Joachim Biercamp, Hendryk Bockelmann, Renate Brokopf, Nils Brüggemann, Lucas Casaroli, Fatemeh Chegini, George Datseris, Monika Esch, Geet George, Marco Giorgetta, Oliver Gutjahr, Helmuth Haak, Moritz Hanke, Tatiana Ilyina, Thomas Jahns, Johann Jungclaus, Marcel Kern, Daniel Klocke, Lukas Kluft, Tobias Kölling, Luis Kornblueh, Sergey Kosukhin, Clarissa Kroll, Junhong Lee, Thorsten Mauritsen, Carolin Mehlmann, Theresa Mieslinger, Ann Kristin Naumann, Laura Paccini, Angel Peinado, Divya Sri Praturi, Dian Putrasahan, Sebastian Rast, Thomas Riddick, Niklas Roeber, Hauke Schmidt, Uwe Schulzweida, Florian Schütte, Hans Segura, Radomyra Shevchenko, Vikram Singh, Mia Specht, Claudia Christine Stephan, Jin-Song von Storch, Raphaela Vogel, Christian Wengel, Marius Winkler, Florian Ziemen, Jochem Marotzke, and Bjorn Stevens
Geosci. Model Dev., 16, 779–811, https://doi.org/10.5194/gmd-16-779-2023, https://doi.org/10.5194/gmd-16-779-2023, 2023
Short summary
Short summary
Models of the Earth system used to understand climate and predict its change typically employ a grid spacing of about 100 km. Yet, many atmospheric and oceanic processes occur on much smaller scales. In this study, we present a new model configuration designed for the simulation of the components of the Earth system and their interactions at kilometer and smaller scales, allowing an explicit representation of the main drivers of the flow of energy and matter by solving the underlying equations.
Shih-Wei Fang, Claudia Timmreck, Johann Jungclaus, Kirstin Krüger, and Hauke Schmidt
Earth Syst. Dynam., 13, 1535–1555, https://doi.org/10.5194/esd-13-1535-2022, https://doi.org/10.5194/esd-13-1535-2022, 2022
Short summary
Short summary
The early 19th century was the coldest period over the past 500 years, when strong tropical volcanic events and a solar minimum coincided. This study quantifies potential surface cooling from the solar and volcanic forcing in the early 19th century with large ensemble simulations, and identifies the regions that their impacts cannot be simply additive. The cooling perspective of Arctic amplification exists in both solar and post-volcano period with the albedo feedback as the main contribution.
Evelien van Dijk, Johann Jungclaus, Stephan Lorenz, Claudia Timmreck, and Kirstin Krüger
Clim. Past, 18, 1601–1623, https://doi.org/10.5194/cp-18-1601-2022, https://doi.org/10.5194/cp-18-1601-2022, 2022
Short summary
Short summary
A double volcanic eruption in 536 and 540 CE caused one of the coldest decades during the last 2000 years. We analyzed new climate model simulations from that period and found a cooling of up to 2°C and a sea-ice extent up to 200 km further south. Complex interactions between sea ice and ocean circulation lead to a reduction in the northward ocean heat transport, which makes the sea ice extend further south; this in turn leads to a surface cooling up to 20 years after the eruptions.
Tim Rohrschneider, Johanna Baehr, Veit Lüschow, Dian Putrasahan, and Jochem Marotzke
Ocean Sci., 18, 979–996, https://doi.org/10.5194/os-18-979-2022, https://doi.org/10.5194/os-18-979-2022, 2022
Short summary
Short summary
This paper presents an analysis of wind sensitivity experiments in order to provide insight into the wind forcing dependence of the AMOC by understanding the behavior of its depth scale(s).
Xiaoxu Shi, Martin Werner, Carolin Krug, Chris M. Brierley, Anni Zhao, Endurance Igbinosa, Pascale Braconnot, Esther Brady, Jian Cao, Roberta D'Agostino, Johann Jungclaus, Xingxing Liu, Bette Otto-Bliesner, Dmitry Sidorenko, Robert Tomas, Evgeny M. Volodin, Hu Yang, Qiong Zhang, Weipeng Zheng, and Gerrit Lohmann
Clim. Past, 18, 1047–1070, https://doi.org/10.5194/cp-18-1047-2022, https://doi.org/10.5194/cp-18-1047-2022, 2022
Short summary
Short summary
Since the orbital parameters of the past are different from today, applying the modern calendar to the past climate can lead to an artificial bias in seasonal cycles. With the use of multiple model outputs, we found that such a bias is non-ignorable and should be corrected to ensure an accurate comparison between modeled results and observational records, as well as between simulated past and modern climates, especially for the Last Interglacial.
Eduardo Moreno-Chamarro, Louis-Philippe Caron, Saskia Loosveldt Tomas, Javier Vegas-Regidor, Oliver Gutjahr, Marie-Pierre Moine, Dian Putrasahan, Christopher D. Roberts, Malcolm J. Roberts, Retish Senan, Laurent Terray, Etienne Tourigny, and Pier Luigi Vidale
Geosci. Model Dev., 15, 269–289, https://doi.org/10.5194/gmd-15-269-2022, https://doi.org/10.5194/gmd-15-269-2022, 2022
Short summary
Short summary
Climate models do not fully reproduce observations: they show differences (biases) in regional temperature, precipitation, or cloud cover. Reducing model biases is important to increase our confidence in their ability to reproduce present and future climate changes. Model realism is set by its resolution: the finer it is, the more physical processes and interactions it can resolve. We here show that increasing resolution of up to ~ 25 km can help reduce model biases but not remove them entirely.
Marie-Estelle Demory, Ségolène Berthou, Jesús Fernández, Silje L. Sørland, Roman Brogli, Malcolm J. Roberts, Urs Beyerle, Jon Seddon, Rein Haarsma, Christoph Schär, Erasmo Buonomo, Ole B. Christensen, James M. Ciarlo ̀, Rowan Fealy, Grigory Nikulin, Daniele Peano, Dian Putrasahan, Christopher D. Roberts, Retish Senan, Christian Steger, Claas Teichmann, and Robert Vautard
Geosci. Model Dev., 13, 5485–5506, https://doi.org/10.5194/gmd-13-5485-2020, https://doi.org/10.5194/gmd-13-5485-2020, 2020
Short summary
Short summary
Now that global climate models (GCMs) can run at similar resolutions to regional climate models (RCMs), one may wonder whether GCMs and RCMs provide similar regional climate information. We perform an evaluation for daily precipitation distribution in PRIMAVERA GCMs (25–50 km resolution) and CORDEX RCMs (12–50 km resolution) over Europe. We show that PRIMAVERA and CORDEX simulate similar distributions. Considering both datasets at such a resolution results in large benefits for impact studies.
George C. Hurtt, Louise Chini, Ritvik Sahajpal, Steve Frolking, Benjamin L. Bodirsky, Katherine Calvin, Jonathan C. Doelman, Justin Fisk, Shinichiro Fujimori, Kees Klein Goldewijk, Tomoko Hasegawa, Peter Havlik, Andreas Heinimann, Florian Humpenöder, Johan Jungclaus, Jed O. Kaplan, Jennifer Kennedy, Tamás Krisztin, David Lawrence, Peter Lawrence, Lei Ma, Ole Mertz, Julia Pongratz, Alexander Popp, Benjamin Poulter, Keywan Riahi, Elena Shevliakova, Elke Stehfest, Peter Thornton, Francesco N. Tubiello, Detlef P. van Vuuren, and Xin Zhang
Geosci. Model Dev., 13, 5425–5464, https://doi.org/10.5194/gmd-13-5425-2020, https://doi.org/10.5194/gmd-13-5425-2020, 2020
Short summary
Short summary
To estimate the effects of human land use activities on the carbon–climate system, a new set of global gridded land use forcing datasets was developed to link historical land use data to eight future scenarios in a standard format required by climate models. This new generation of land use harmonization (LUH2) includes updated inputs, higher spatial resolution, more detailed land use transitions, and the addition of important agricultural management layers; it will be used for CMIP6 simulations.
Cited articles
Adcroft, A. J., Hill, C., and Marshall, J.: Representation of Topography by
Shaved Cells in a Height Coordinate Ocean Model, Mon. Weather Rev., 125,
2293–2315, https://doi.org/10.1175/1520-0493(1997)125<2293:ROTBSC>2.0.CO;2, 1997. a
Aldama-Campino, A. and Döös, K.: Mediterranean overflow water in the North
Atlantic and its multidecadal variability, Tellus A, 72, 1–10, https://doi.org/10.1080/16000870.2018.1565027, 2020. a
Axell, L. B.: Wind-driven internal waves and Langmuir circulations in a
numerical ocean moel of the southern Baltic Sea, J. Geophys. Res., 107,
3204, https://doi.org/10.1029/2001JC000922, 2002. a
Benjamini, Y. and Hochberg, Y.: Controlling the false discovery rate: a
practical and powerful approach to multiple testing, J. Roy.
Stat. Soc., 57, 289–300, https://doi.org/10.1111/j.2517-6161.1995.tb02031.x,
1995. a, b
Berx, B., Hansen, B., Østerhus, S., Larsen, K. M., Sherwin, T., and Jochumsen, K.: Combining in situ measurements and altimetry to estimate volume, heat and salt transport variability through the Faroe–Shetland Channel, Ocean Sci., 9, 639–654, https://doi.org/10.5194/os-9-639-2013, 2013. a, b
Blanke, B. and Delecluse, P.: Variability of the Tropical Atlantic Ocean
Simulated by a General Circulation Model with Two Different Mixed-Layer
Physics, J. Phys. Oceanogr., 23, 1363–1388,
https://doi.org/10.1175/1520-0485(1993)023<1363:VOTTAO>2.0.CO;2, 1993. a
Breivik, Ø., Mogensen, K., Bidlot, J.-R., Balmaseda, M. A., and Janssen, P.
A. E. M.: Surface wave effects in the NEMO ocean model: Forced and coupled
experiments, J. Geophys. Res.-Oceans, 120, 2973–2992,
https://doi.org/10.1002/2014JC010565, 2015. a
Brüggemann, N. and Katsman, C. A.: Dynamics of Downwelling in an Eddying
Marginal Sea: Contrasting the Eulerian and the Isopycnal Perspective, J.
Phys. Oceanogr., 49, 3017–3035, https://doi.org/10.1175/JPO-D-19-0090.1, 2019. a, b
Campbell, E. C., Wilson, E. A., Moore, G. W. K., Riser, S. C., Brayton, C. E.,
Mazloff, M. R., and Talley, L. D.: Antarctic offshore polynyas linked to
Southern Hemisphere climate anomalies, Nature, 570, 319–325,
https://doi.org/10.1038/s41586-019-1294-0, 2019. a
Carsey, F. D.: Microwave observation of the Weddell Polynya, Mon. Weather
Rev., 108, 2032–2044, https://doi.org/10.1175/1520-0493(1980)108<2032:MOOTWP>2.0.CO;2,
1980. a
Chatterjee, S., Rai, R. P., Bertino, L., Skagseth, Ø., Ravichandran, M., and
Johannessen, O. M.: Role of Greenland Sea Gyre Circulation on Atlantic Water
Temperature Variability in the Fram Strait, Geophys. Res. Lett., 45,
8399–8406, https://doi.org/10.1029/2018GL079174, 2018. a
Cheon, W. G., Park, Y.-G., Toggweiler, J. R., and Lee, S.-K.: The Relationship
of Weddell Polynya and Open-Ocean Deep Convection to the Southern Hemisphere
Westerlies, J. Phys. Oceanogr., 44, 694–713,
https://doi.org/10.1175/JPO-D-13-0112.1, 2019. a
Cheon, W. G. G. and Gordon, A. L.: Open-ocean polynyas and deep convection in
the Southern Ocean, Sci. Rep., 9, 6935, https://doi.org/10.1038/s41598-019-43466-2,
2019. a
Childers, K. H., Flagg, C. N., and Rossy, T.: Direct velocity observations of
volume flux between Iceland and the Shetland Islands, J. Geophys. Res.-Oceans, 119, 5934–5944, https://doi.org/10.1002/2014JC009946, 2014. a, b
Crews, L., Sundfjord, A., and Hattermann, T.: How the Yermak Pass Branch
Regulates Atlantic Water inflow to the Arctic Ocean, J. Geophys. Res.-Oceans, 124, 267–280, https://doi.org/10.1029/2018JC014476, 2019. a
Czeschel, L. and Eden, C.: Internal Wave Radiation through Surface Mixed Layer
Turbulence, J. Phys. Oceanogr., 49, 1827–1844,
https://doi.org/10.1175/JPO-D-18-0214.1, 2019. a
Danabasoglu, G., Large, W. G., Tribbia, J. T., Gent, P. R., Briegleb, B. P.,
and McWilliams, J. C.: Diurnal Coupling in the Tropical Oceans of CCSM3, J.
Climate, 19, 2347–2365, https://doi.org/10.1175/JCLI3739.1, 2006. a
de Lavergne, C., Palter, J. B., Galbraith, E. D., Bernardello, R., and Marinov,
I.: Cessation of deep convection in the open Southern Ocean under
anthropogenic climate change, Climate Change, 4, 278–282,
https://doi.org/10.1038/nclimate2132, 2014. a
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi,
S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P.,
Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C.,
Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B.,
Hersbach, H., Hólm, E. V., Isaksen, L., Kåberg, P., Köhler, M.,
Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park,
B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and
Vitart, F.: The ERA-Interim reanalysis: configuration and performance of
the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597,
https://doi.org/10.1002/qj.828, 2011. a
Dengg, J. A., Beckmann, A., and Gerdes, R.: The Warmwatersphere of the North
Atlantic Ocean, chap. The Gulf Stream separation problem,
Gebr. Bornträger, Berlin, 253–290, 1996. a
Donohue, K. A., Tracey, K. L., Watts, D. R., Chidichimo, M. P., and Chereskin,
T. K.: Mean Antarctic Circumpolar Current transport measured in Drake
Passage, Geophys. Res. Lett., 43, 11760–11767,
https://doi.org/10.1002/2016GL070319, 2016. a, b
Dufour, C. O., Morrison, A. K., Griffies, S. M., Frenger, I., Zanowski, H., and
Winton, M.: Preconditioning of the Weddell Sea Polynya by the Ocean
Mesoscale and Dense Water Overflows, J. Climate, 30, 7719–7737,
https://doi.org/10.1175/JCLI-D-16-0586.1, 2017. a, b
DuVivier, A. K., Large, W. G., and Small, R. J.: Argo observations of the deep
mixing band in the Southern Ocean: A salinity modeling challenge, J.
Geophys. Res.-Oceans, 123, 7599–7617, https://doi.org/10.1029/2018JC014275, 2018. a, b, c
Eden, C. and Böning, C.: Sources of Eddy Kinetic Energy in the Labrador Sea,
J. Phys. Oceanogr., 32, 3346–3363,
https://doi.org/10.1175/1520-0485(2002)032<3346:SOEKEI>2.0.CO;2, 2002. a
EUMETSAT Ocean and Sea Ice Satellite Application: Global sea ice
concentration reprocessing dataset 1978–2015 (v1.2, 2015), Norwegian and Danish Meteorological
Institutes, available at:
http://osisaf.met.no (last access: 9 November 2020), 2015. a
Fer, I.: Weak vertical diffusion allows maintenance of cold halocline in the
central Arctic, Atmos. Ocean. Sci. Lett., 2, 148–152,
https://doi.org/10.1080/16742834.2009.11446789, 2009. a, b, c, d
Fer, I., Skogseth, R., and Geyer, F.: Internal Wave and Mixing in the Marginal
Ice Zone near Yermak Plateau, J. Phys. Oceanogr., 40, 1613–1630,
https://doi.org/10.1175/2010JPO4371.1, 2010. a
Fox-Kemper, B., Adcroft, A., Böning, C. W., Chassignet, E. P., Curchitser, E.,
Danabasoglu, G., Eden, C., England, M. H., Gerdes, R., Greatbatch, R. J.,
Griffies, S. M., Hallberg, R. W., Hanert, E., Heimbach, P., Hewitt, H. T.,
Hill, C. N., Komuro, Y., Legg, S., Le Sommer, J., Masina, S., Marsland,
S. J., Penny, S. G., Qiao, F., Ringler, T. D., Treguier, A. M., Tsujino, H.,
Uotila, P., and Yeager, S. G.: Challenges and Prospects in Ocean Circulation
Models, Front. Mar. Sci., 6, 65, https://doi.org/10.3389/fmars.2019.00065,
2019. a, b, c, d, e, f
Garrett, C.: Internal tides and ocean mixing, Science, 301, 1858–1859,
https://doi.org/10.1126/science.1090002, 2003. a
Gent, P. R.: A commentary on the Atlantic meridional overturning circulation
stability in climate models, Ocean Model., 122, 57–66,
https://doi.org/10.1016/j.ocemod.2017.12.006, 2018. a
Gent, P. R., Willebrand, J., McDougall, T. J., and McWilliams, J. C.:
Parameterizing Eddy-Induced Tracer Transports in Ocean Circulation Models,
J. Phys. Oceanogr., 25, 463–474,
https://doi.org/10.1175/1520-0485(1995)025<0463:PEITTI>2.0.CO;2, 1995. a
Georgiou, S., van der Boog, C. G., N., B., Ypma, S. L., Pietrzak, J. D., and
Katsman, C. A.: On the interplay between downwelling, deep convection and
mesoscale eddies in the Labrador Sea, Ocean Model., 135, 56–70,
https://doi.org/10.1016/j.ocemod.2019.02.004, 2019. a
Good, S. A., Martin, M. J., and Rayner, N. A.: EN4: quality controlled ocean
temperature and salinity profiles and monthly objective analyses with
uncertainty estimates, J. Geophys. Res., 118, 6704–6716,
https://doi.org/10.1002/2013JC009067, 2013. a
Gordon, A. L.: Deep Antarctic Convection West of Maud Rise, J. Phys.
Oceanogr., 8, 600–612,
https://doi.org/10.1175/1520-0485(1978)008<0600:DACWOM>2.0.CO;2, 1978. a
Gordon, A. L.: Southern Ocean polynya, Nat. Clim. Change, 4, 249–250,
https://doi.org/10.1038/nclimate2179, 2014. a, b
Griffies, S. M., Levy, M., Adcroft, A. J., Danabasoglu, R., Hallberg, R. W.,
Jacobsen, D., Large, W., and Ringler, T. D.: Theory and numerics of the
Community Ocean Vertical Mixing (CVMix) Project, Tech. rep.,
NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, available at:
https://github.com/CVMix/CVMix-description (last access: 12 October 2020), 2015. a, b, c, d, e, f, g, h, i, j, k
Gutjahr, O., Putrasahan, D., Lohmann, K., Jungclaus, J. H., von Storch, J.-S., Brüggemann, N., Haak, H., and Stössel, A.: Max Planck Institute Earth System Model (MPI-ESM1.2) for the High-Resolution Model Intercomparison Project (HighResMIP), Geosci. Model Dev., 12, 3241–3281, https://doi.org/10.5194/gmd-12-3241-2019, 2019. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q
Gutjahr, O., Brüggemann, N., Haak, H., Jungclaus, J. H., Putrasahan, D. A., Lohmann, K., and von Storch, J.-S.:
Gutjahr_etal_2020_GMD_initial_input_data, World Data Center for Climate (WDCC) at DKRZ, available at: http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=DKRZ_LTA_944_ds00001 (last access: 11 March 2021), 2020. a
Gutjahr, O., Brüggemann, N., Haak, H., Jungclaus, J. H., Putrasahan, D. A., Lohmann, K., and von Storch, J.-S.:
Comparison of ocean vertical mixing schemes in the Max Planck Institute Earth System Model (MPI-ESM1.2) – Scripts, MPG.PuRe, available at: http://hdl.handle.net/21.11116/0000-0006-DB1E-3, last access: 11 March 2021. a
Haarsma, R. J., Roberts, M. J., Vidale, P. L., Senior, C. A., Bellucci, A., Bao, Q., Chang, P., Corti, S., Fučkar, N. S., Guemas, V., von Hardenberg, J., Hazeleger, W., Kodama, C., Koenigk, T., Leung, L. R., Lu, J., Luo, J.-J., Mao, J., Mizielinski, M. S., Mizuta, R., Nobre, P., Satoh, M., Scoccimarro, E., Semmler, T., Small, J., and von Storch, J.-S.: High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6, Geosci. Model Dev., 9, 4185–4208, https://doi.org/10.5194/gmd-9-4185-2016, 2016. a, b
Hagemann, S. and Gates, L. D.: Improving a subgrid runoff parameterization
scheme for climae models by the use of a high resolution data derived from
satellite observations, Clim. Dynam., 21, 349–359,
https://doi.org/10.1007/s00382-003-0349-x, 2003. a
Hansen, B., Østerhus, S., Quadfasel, D., and Turrell, W.: Already the day
after tomorrow?, Science, 304, 953–954, https://doi.org/10.1126/science.1100085,
2004. a
Hansen, B., Larsen, K. M. H., Hátún, H., Kristiansen, R., Mortensen, E., and Østerhus, S.: Transport of volume, heat, and salt towards the Arctic in the Faroe Current 1993–2013, Ocean Sci., 11, 743–757, https://doi.org/10.5194/os-11-743-2015, 2015. a, b
Hansen, B., Húsgarð Larsen, K. M., Hátún, H., and Østerhus, S.: A stable Faroe Bank Channel overflow 1995–2015, Ocean Sci., 12, 1205–1220, https://doi.org/10.5194/os-12-1205-2016, 2016. a, b
Hansen, B., Poulsen, T., Húsgarð Larsen, K. M., Hátún, H., Østerhus, S., Darelius, E., Berx, B., Quadfasel, D., and Jochumsen, K.: Atlantic water flow through the Faroese Channels, Ocean Sci., 13, 873–888, https://doi.org/10.5194/os-13-873-2017, 2017. a
Heuzé, C., Ridley, J. K., Calvert, D., Stevens, D. P., and Heywood, K. J.: Increasing vertical mixing to reduce Southern Ocean deep convection in NEMO3.4, Geosci. Model Dev., 8, 3119–3130, https://doi.org/10.5194/gmd-8-3119-2015, 2015. a, b
Holloway, G., Dupont, F., Golubeva, E., Haekkinen, S., Hunke, E., Jin, M.,
Karcher, M., Kauker, F., Maltrud, M., Maqueda, M. A. M., Maslowski, W.,
Platov, G., Stark, D., Steele, M., Suzuki, T., Wang, J., and Zhang, J.:
Water properties and circulation in Arctic Ocean models, Geophys. Res.-Oceans, 112, C04S03, https://doi.org/10.1029/2006JC003642, 2007. a
Holte, J., Talley, L. D., Gilson, J., and Roemmich, D.: An Argo mixed layer
climatology and database, Geophys. Res. Lett., 44, 5618–5626,
https://doi.org/10.1002/2017GL073426, 2017. a, b, c
Jayne, S. R.: The impact of abyssal mixing parameterizations in an ocean
general circulation model, J. Phys. Oceanogr., 39, 1756–1775,
https://doi.org/10.1175/2009JPO4085.1, 2009. a, b
Jena, B., Ravichandran, M., and Turner, J.: Recent Reoccurrence of Large
Open‐Ocean Polynya on the Maud Rise Seamount, Geophys. Res. Lett., 46,
4320–4329, https://doi.org/10.1029/2018GL081482, 2019. a
Jochum, M., Briegleb, B. P., Danabasoglu, G., Large, W. G., Norton, N. J.,
Jayne, S. R., Alford, M. H., and Bryan, F. O.: The impact of oceanic
near-inertial waves on climate, J. Climate, 26, 2833–2844,
https://doi.org/10.1175/JCLI-D-12-00181.1, 2013. a
Jochumsen, K., Quadfasel, D., Valdimarsson, H., and Jónsson, S.:
Variability of the Denmark Strait overflow: Moored time series from
1996–2011, J. Geophys. Res., 117, C12003, https://doi.org/10.1029/2012JC008244,
2012. a
Jochumsen, K., Moritz, M., Nunes, N., Quadfasel, D., Larsen, K. M. H., Hansen,
B., Valdimarsson, H., and Jonsson, S.: Revised transport estimates of the
Denmark Strait overflow, J. Geophys. Res., 122, 3434–3450, 2017. a
Jones, D. C., Meijers, J. S., Shuckburgh, E., Sallée, J.-B., Haynes, P.,
McAufield, E. K., and Mazloff, M. R.: How does Subantarctic Mode Water
vertilate the Southern Hemisphere subtropics?, J. Geophys. Res. Oceans, 121,
6558–6582, https://doi.org/10.1002/2016JC011680, 2016. a
Jungclaus, J. H., Fischer, N., Haak, H., Lohmann, K., Marotzke, J., Matei, D.,
Mikolajewicz, U., Notz, D., and von Storch, J. S.: Characteristics of the
ocean simulations in the Max Planck Institute Ocean Model (MPIOM), the
ocean component of the MPI-Earth system model, J. Adv. Model. Earth Sy.,
5, 422–446, https://doi.org/10.1002/jame.20023, 2013. a
Katsman, C. A., Drijfhout, S. S., Dijkstra, H. A., and Spall, M. A.: Sinking
of Dense North Atlantic Waters in a Global Ocean Model: Location and
Controls, J. Geophys Res.-Oceans, 123, 3563–3576,
https://doi.org/10.1029/2017JC013329, 2018. a
Kim, S. Y., Lee, H. J., Park, J.-H., and Kim, Y. H.: Effects of Reduced
Vertical Mixing Under Sea Ice on Atlantic Meridional Overturning Circulation
(AMOC) in a Global Ice-Ocean Model, Ocean Sci. J., 50, 155–161,
https://doi.org/10.1007/s12601-015-0012-6, 2015. a, b
Kjellsson, J., Holland, P. R., Marshall, G. J., Mathiot, P., Aksenov, Y.,
Coward, A. C., Bacon, S., Megann, A. P., and Ridley, J.: Model sensitivity
of the Weddell and Ross seas, Antarctica, to vertical mixing and freshwater
forcing, Ocean Model., 94, 141–152, https://doi.org/10.1016/j.ocemod.2015.08.003,
2015. a, b, c, d
Kurtakoti, P., Veneziani, M., Stössel, A., and Weijer, W.: Preconditioning
and Formation of Maud Rise Polynyas in a High-Resolution Earth System Model,
J. Climate, 31, 9659–9678, https://doi.org/10.1175/JCLI-D-18-0392.1, 2018. a
Li, Q. and Fox-Kemper, B.: Assessing the effects of Langmuir turbulence on the
entrainment buoyancy flux in the ocean surface boundary layer, J. Phys.
Oceanogr., 47, 2863–2886, https://doi.org/10.1175/JPO-D-17-0085.1, 2017. a
Li, Q. and Lee, S.: A mechanism of mixed-layer formation in the Indo-western
Pacific Southern Ocean: Preconditioning by an eddydriven jet-scale
overturning circulation, J. Phys. Oceanogr., 47, 2775–2772,
https://doi.org/10.1175/JPO-D-17-0006.1, 2017. a
Li, Q., Reichl, B. G., Fox-Kemper, B., Adcroft, A. J., Belcher, S. E.,
Danabasoglu, G., Grant, A. L. M., Griffies, S. M., Hallberg, R., Hara, T.,
Harcourt, R. R., Kukulka, T., Large, W. G., McWilliams, J. C., Pearson, B.,
Sullivan, P. P., Van Roekel, L., Wang, P., and Zheng, Z.: Comparing Ocean
Surface Boundary Vertical Mixing Schemes Including Langmuir Turbulence,
J. Adv. Model. Earth Sy., 11, 3545–3592,
https://doi.org/10.1029/2019MS001810, 2019. a, b
Liang, X. and Losch, M.: On the effects of increased vertical mixing on the
Arctic Ocean and sea ice, J. Geophys. Res.-Oceans, 26, 2833–2844,
https://doi.org/10.1029/2018JC014303, 2018. a
Lozier, M. S. and Sindlinger, L.: On the source of Mediterranean Overflow
Water property changes, J. Phys. Oceanogr., 39, 1800–1817,
https://doi.org/10.1175/2009JPO4109.1, 2008. a
Mauritsen, T., Stevens, B., Roeckner, E., Crueger, T., Esch, M., Giorgetta, M.,
Haak, H., Jungclaus, J. H., Klocke, D., Matei, D., Mikolajewicz, U., Notz,
D., Pincus, R., Schmidt, H., and Tomassini, L.: Tuning the climate of a
global model, J. Adv. Model. Earth Syst., 4, M00A01,
https://doi.org/10.1029/2012MS000154, 2012. a
Mauritsen, T., Bader, J., Becker, T., Behrens, J., Bittner, M., Brokopf, R.,
Brovkin, V., Claussen, M., Crueger, T., Esch, M., Fast, I., Fiedler, S.,
Fläschner, D., Gayler, V., Giorgetta, M., Haak, M., Hagemann, S., Hedemann,
C., Hohenegger, C., Ilyina, T., Jahns, T., Jimenéz-de-la Cuesta, D.,
Jungclaus, J., Kleinen, T., Kloster, S., Kracher, D., Kinne, S., Kleberg, S.,
Lasslop, G., Kornblueh, L., Marotzke, J., Matei, D., Meraner, K.,
Mikilajewicz, U., Modali, K., Möbis, B., Müller, W. A., Nabel, J. E. M. S.,
Nam, C. C. W., Notz, D., Nyawira, S.-S., Paulsen, H., Peters, K., Pincus, R.,
Pohlmann, H., Pongratz, J., Popp, M., Raddatz, T. J., Rast, S., Redler, R.,
Reick, C. H., Rohrschneider, T., Schemann, V., Schmidt, H., Schnur, R.,
Schulzweida, Six, K. D., Stein, L., Stemmler, I., Stevens, B., von Storch,
J.-S., Tian, F., Voigt, A., Vrese, P., Wienders, K.-H., Wilkenskjeld, S.,
Winkler, A., and Roeckner, E.: Developments in the MPI-M Earth System Model
version 1.2 (MPI-ESM1.2) and Its Response to Increasing CO2, J.
Adv. Model. Earth Sys., 11, 998–1038,
https://doi.org/10.1029/2018MS001400, 2019. a, b
McCartney, M. S.: A Voyage of Discovery: George Deacon 70th Anniversary
Volume, chap. Subantarctic Mode Water, Supplement to
Deep-Sea Research, Pergamon Press, Oxford, 103–119, 1977. a
McCartney, M. S. and Mauritzen, C.: On the origin of the warm inflow to the
Nordic Seas, Prog. Oceanogr., 51, 125–214,
https://doi.org/10.1016/S0079-6611(01)00084-2, 2001. a
McWilliams, J. C., Sullivan, P. P., and Moeng, C.-H.: Langmuir turbulence in
the ocean, J. Fluid Mech., 334, 1–30, https://doi.org/10.1017/S0022112096004375,
1997. a
Mellor, G. and Yamada, T.: Development of a turbulent closure model for
geophysical fluid problems, Rev. Geophys., 20, 851–875,
https://doi.org/10.1029/RG020i004p00851, 1982. a
Milinski, S., Bader, J., Haak, H., Siongco, A. C., and Jungclaus, J. H.: High
atmospheric horizontal resolution eliminates the wind-driven coastal warm
bias in the southeastern tropical Atlantic, Geophys. Res. Lett., 43,
10455–10462, https://doi.org/10.1002/2016GL070530, 2016GL070530, 2016. a
MPI-M:
Gutjahr_etal_2020_GMD_source_code, World Data Center for Climate (WDCC) at DKRZ, https://doi.org/10.35089/WDCC/PRIMAVERA_MPI_ESM_source_code, 2021. a
Muilwijk, M., Ilicak, M., Cornish, S. B., Danilov, S., Gelderloos, R., Gerdes,
R., Haid, V., Haine, T. W. N., Johnson, H. L., Kostov, Y., Kovács, T.,
Lique, C., Marson, J. M., Myers, P. G., Scott, J., Smedsrud, L. H.,
Talandier, C., and Wang, Q.: Arctic Ocean Response to Greenland Sea Wind
Anomalies in a Suite of Model Simulations, J. Geophys. Res.-Oceans, 124, 6286–6322, https://doi.org/10.1029/2019JC015101, 2019. a
Müller, W. A., Jungclaus, J. H., Mauritsen, T., Baehr, J., Bittner, M.,
Budich, R., Bunzel, F., Esch, M., Ghosh, R., Haak, H., Ilyina, T., Kleine,
T., Kornblueh, L., Li, H., Modali, K., Notz, D., Pohlmann, H., Roeckner, E.,
Stemmler, I., Tian, F., and Marotzke, J.: A higher-resolution version of the
Max Planck Institute Earth System Model (MPI-ESM 1.2-HR), J. Adv. Model.
Earth Sy., 10, 1383–1413, https://doi.org/10.1029/2017MS001217, 2018. a, b
Naughten, K. A., Meissner, K. J., Galton-Fenzi, B. K., England, M. H., Timmermann, R., Hellmer, H. H., Hattermann, T., and Debernard, J. B.: Intercomparison of Antarctic ice-shelf, ocean, and sea-ice interactions simulated by MetROMS-iceshelf and FESOM 1.4, Geosci. Model Dev., 11, 1257–1292, https://doi.org/10.5194/gmd-11-1257-2018, 2018. a, b
Nielsen, S. B., Jochum, M., Eden, C., and Nuterman, R.: An energetically
consistent vertical mixing parameterization in CCSM4, Ocean Model., 127,
46–54, https://doi.org/10.1016/j.ocemod.2018.03.002, 2018. a, b, c, d
Nielsen, S. B., Jochum, M., Pedro, J. B., Eden, C., and Nuterman, R.:
Two-Timescale Carbon Cycly Response to an AMOC Collapse, Paleoceanogr.
Paleoclim., 34, 511–523, https://doi.org/10.1029/2018PA003481, 2019. a
Notz, D., Haumann, F. A., Haak, H., Jungclaus, J. H., and Marotzke, J.: Arctic
sea-ice evolution as modeled by Max Planck Institute for Meteorology's Earth
system model, J. Adv. Model. Earth Sy., 5, 173–194,
https://doi.org/10.1002/jame.20016, 2013. a
Orsi, A. H., Nowlin Jr., W. D., and Whitworth III, T.: On the circulation and
stratification of the Weddell Gyre, Deep-Sea Res., 40, 169–203,
https://doi.org/10.1016/0967-0637(93)90060-G, 1993. a
Pickart, R. S., Spall, M. A., Ribergaard, M. H., Moore, G. W. K., and Milliff,
R. F.: Deep convection in the Irminger Sea forced by the Greenland tip
jet, Nature, 424, 152–156, https://doi.org/10.1038/nature01729, 2003. a
Pollmann, F., Eden, C., and Olbers, D.: Evaluating the Global Internal Wave
Model IDEMIX Using Finestructure Methods, J. Phys. Oceanogr., 47,
2267–2289, https://doi.org/10.1175/JPO-D-16-0204.1, 2017. a, b, c
Putrasahan, D. A., Lohmann, K., von Storch, J. S., Jungclaus, J. H., Haak, H.,
and Gutjahr, O.: Surface flux drivers for the slowdown of the Atlantic
Meridional Overturning Circulation in a high-resolution global coupled
climate model, J. Adv. Model. Earth Sy., 11, 1349–1363,
https://doi.org/10.1029/2018MS001447, 2019. a, b
R Core Team: R: A Language and Environment for Statistical Computing, R
Foundation for Statistical Computing, Vienna, Austria,
available at: https://www.R-project.org/, last access: 9 October 2020. a
Rainville, L. and Winsor, P.: Mixing across the Arctic Ocean: Microstructure
observations during the Beringia 2005 Expedition, Geophys. Res. Lett., 35,
L08606, https://doi.org/10.1029/2008GL033532, 2008. a, b, c
Rainville, L. and Woodgate, R.: Observations of internal wave generation in
the seasonally ice-free Arctic, Geophys. Res. Lett., 36, L23604,
https://doi.org/10.1029/2009GL041291, 2009. a
Randall, D. A., Wood, R. A., Bony, S., Colman, R., Fichefet, T., Fyfe, J.,
Kattsov, V., Pitman, A., Shukla, J., Srinivasan, J., Stouffer, R. J., Sumi,
A., and Taylor, K. E.: Climate Change 2007: The Physical Science Basis.
Contribution of Workung Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change, chap. Climate Models and Their
Evaluation, Cambridge University Press, Cambrigdge, United Kingdom and New
York, NY, USA, 2007. a
Redi, M. H.: Oceanic Isopycnal Mixing by Coordinate Rotation, J.
Phys. Oceanogr., 12, 1154–1158,
https://doi.org/10.1175/1520-0485(1982)012<1154:OIMBCR>2.0.CO;2, 1982. a
Reid, J. L.: On the contribution of the Mediterranean Sea outflow to the
Norwegian-Greenland Sea, Deep-Sea Res., 26A, 1199–1223,
https://doi.org/10.1016/0198-0149(79)90064-5, 1979. a
Rimac, A., von Storch, J.-S., Eden, C., and Haak, H.: The influence of
high-resolution wind stress field on the power input to near-inertial motions
in the ocean, Geophys. Res. Lett., 40, 4882–4886, https://doi.org/10.1002/grl.50929,
2013. a, b
Rippeth, T. P., Lincoln, B. J., Lenn, Y.-D., Green, J. A. M., Sundfjord, A.,
and Bacon, S.: Tide-mediated warming of Arctic halocline by Atlantic heat
fluxes over rough topography, Nat. Geosci., 8, 191–194,
https://doi.org/10.1038/ngeo2350, 2015. a
Rippeth, T. P., Vlasenko, V., Stashchuk, N., Scanell, B. D., Green, J. A. M.,
Lincoln, B. J., and Bacon, S.: Tidal conversion and mixing poleward of the
critical latitude (an Arctic case study), Geophys. Res. Lett., 44,
12 349–12 357, https://doi.org/10.1002/2017GL075310, 2017. a
Robertson, R. and Dong, C.: An evaluation of the performance of vertical
mixing parameterizations for tidal mixing in the Regional Ocean Model System
(ROMS), Geosci. Lett., 6, 1–18, https://doi.org/10.1186/s40562-019-0146-y, 2019. a
Rossby, T. and Flagg, C. N.: Direct measurments of volume flux in the
Faroe-Shetland Channel and over the Iceland-Faroe Ridge, Geophys. Res.
Lett., 39, L07602, https://doi.org/10.1029/2012GL051269, 2012. a, b
Sabine, C. L., Freely, R. A., Gruber, N., Key, R. M., Lee, K., and Bullister,
J. L.: The oceanic sink for anthropogenic CO_2, Science, 305,
367–371, https://doi.org/10.1126/science.1097403, 2004. a
Sallée, J.-B., Shuckburgh, E., Bruneau, N., Meijers, A. J. S., Bracegirdle,
T. J., and Wang, Z.: Assessment of Southern Ocean mixed-layer depths in
CMIP5 models: Historical bias and forcing response, J. Geophys. Res.-Oceans,
118, 1845–1862, https://doi.org/10.1002/jgrc.20157, 2013. a, b, c
Sarmiento, J., Gruber, N., Brzezinksi, M., and Dunne, J.: High-latitude
controls of thermocline nutrients and low latitude biological productivity,
Nature, 427, 56–60, https://doi.org/10.1038/nature02127, 2004. a
Sayol, J.-M., Dijkstra, H., and Katsman, C.: Seasonal and regional variations of sinking in the subpolar North Atlantic from a high-resolution ocean model, Ocean Sci., 15, 1033–1053, https://doi.org/10.5194/os-15-1033-2019, 2019. a
Schweiger, A., Lindsay, R., Zhang, J., Steele, M., Stern, H., and Kwok, R.:
Uncertainty in modelled Arctic sea ice volume, J. Geophys. Res.-Oceans,
116, C00D06, https://doi.org/10.1029/2011JC007084, 2011. a, b
Sein, D. V., Koldunov, N. V., Danilov, S., Sidorenko, D., Wekerle, C., Cabos,
W., Rackow, T., Scholz, P., Semmler, T., Wang, Q., and Jung, T.: The
relative influence of atmospheric and oceanic model resolution on the
circulation of the North Atlantic Ocean in a coupled climate model, J. Adv.
Model. Earth Sy., 10, 2026–2041, https://doi.org/10.1029/2018MS001327, 2018. a
Shu, Q., Wang, Q., Su, J., Li, X., and Fangli, Q.: Assessment of the Atlantic
water layer in the Arctic Ocean in CMIP5 climate models, Clim. Dynam., 53,
5279–5291, https://doi.org/10.1007/s00382-019-04870-6, 2019. a
Simmons, H. L., Jayne, S. R., St. Laurant, L. C., and Weaver, A. J.: Tidally
driven mixing in a numerical model of the ocean general circulation, Ocean
Model., 6, 245–263, https://doi.org/10.1016/S1463-5003(03)00011-8, 2004. a, b
Sloyan, B. and Rintoul, S.: Circulation, renewel, and modification of
Antarctic mode and intermediate water, J. Phys. Oceanogr., 31, 1005–1030,
https://doi.org/10.1175/1520-0485(2001)031<1005:CRAMOA>2.0.CO;2, 2001. a
Stevens, B., Giorgetta, M., Esch, M., Mauritsen, T., Crueger, T., Rast, S.,
Salzmann, M., Schmidt, H., Bader, J., Block, K., Brokopf, R., Fast, I.,
Kinne, S., Kornblueh, L., Lohmann, U., Pincus, R., Reichler, T., and
Roeckner, E.: Atmospheric component of the MPI-M Earth System Model:
ECHAM6, J. Adv. Model. Earth Sy., 5, 146–172, https://doi.org/10.1002/jame.20015,
2013. a
Stössel, A., Notz, D., Haumann, F. A., Haak, H., Jungclaus, J., and
Mikolajewicz, U.: Controlling high-latitude Southern Ocean convection in
climate models, Ocean Model., 86, 58–75,
https://doi.org/10.1016/j.ocemod.2014.11.008, 2015. a, b, c
Timmermann, R. and Beckmann, A.: Parameterization of vertical mixing in the
Weddell Sea, Ocean Model., 6, 83–100, https://doi.org/10.1016/S1463-5003(02)00061-6,
2004. a
Våge, K., Pickart, R., Sarafanov, A., Knutsen, Ø., Mercier, H.,
Lherminier, P., van Aken, H. M., Meincke, J., Quadfasel, D., and Bacon, S.:
The Irminger Gyre: circulation, convection, and interannual veriability,
Deep-Sea Res. Pt. I, 58, 590–614, https://doi.org/10.1016/j.dsr.2011.03.001, 2011. a
Valcke, S.: The OASIS3 coupler: a European climate modelling community software, Geosci. Model Dev., 6, 373–388, https://doi.org/10.5194/gmd-6-373-2013, 2013. a
Van Roekel, L., Adcroft, A. J., Danabasoglu, G., Griffies, S. M., Kauffman, B.,
Large, W., Levy, M., Reichl, B. G., Ringler, T., and Schmidt, M.: The KPP
Boundary Layer Scheme for the Ocean: Revisiting Its Formulation and
Benchmarking One-Dimensional Simulations Relative to LES, Adv. Model. Earth
Sy., 10, 2647–2685, https://doi.org/10.1029/2018MS001336, 2018. a, b, c, d
Wang, Q., Danilov, S., Sidorenko, D., Timmermann, R., Wekerle, C., Wang, X., Jung, T., and Schröter, J.: The Finite Element Sea Ice-Ocean Model (FESOM) v.1.4: formulation of an ocean general circulation model, Geosci. Model Dev., 7, 663–693, https://doi.org/10.5194/gmd-7-663-2014, 2014. a
Wang, Q., Wekerle, C., Danilov, S., Wang, X., and Jung, T.: A 4.5 km resolution Arctic Ocean simulation with the global multi-resolution model FESOM 1.4, Geosci. Model Dev., 11, 1229–1255, https://doi.org/10.5194/gmd-11-1229-2018, 2018. a
Wekerle, C., Wang, Q., von Appen, W.-J., Danilov, S., Schourup-Kristensen, V.,
and Jung, T.: Eddy-resolving simulation of the Atlantic Water circulation in
the Fram Strait with focus on the seasonal cycle, J. Geophys. Res.-Oceans,
122, 8385–8405, https://doi.org/10.1002/2017JC012974, 2017.
a
Wolff, J. O., Maier-Reimer, E., and Legutke, S.: The Hamburg Ocean Primitive
Equation Model HOPE, Tech. Rep. 13, German Climate Computer Center (DKRZ),
1997. a
Zhang, J. and Rothrock, D. A.: Modeling Global Sea Ice with a
Thickness and Enthalpy Distribution Model in Generalized
Curvilinear Coordinates, Mon. Weather Rev., 131, 845–861,
https://doi.org/10.1175/1520-0493(2003)131<0845:MGSIWA>2.0.CO;2, 2003. a, b
Zhang, J. and Steele, M.: Effect of vertical mixing on the Atlantic Water
layer circulation in the Arctic Ocean, Geophys. Res.-Oceans, 112, C04S04,
https://doi.org/10.1029/2006JC003732, 2007. a
Short summary
We compare four ocean vertical mixing schemes in 100-year coupled simulations with the Max Planck Institute Earth System Model (MPI-ESM1.2) and analyse their model biases. Overall, the mixing schemes modify biases in the ocean interior that vary with region and variable but produce a similar global bias pattern. We therefore cannot classify any scheme as superior but conclude that the chosen mixing scheme may be important for regional biases.
We compare four ocean vertical mixing schemes in 100-year coupled simulations with the Max...