Articles | Volume 16, issue 2
https://doi.org/10.5194/esd-16-545-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/esd-16-545-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Apr 2025
Research article |
| 16 Apr 2025
| 16 Apr 2025
A global threshold model of enabling conditions for social tipping in pro-environmental behaviours – the role of sea level rise anticipation and climate change concern
International Political Economy and Environmental Politics, ETH Zürich, Zurich, Switzerland
Marc Wiedermann
FutureLab on Game Theory and Networks of Interacting Agents, Complexity Science, Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany
Robert Koch Institut, Berlin, Germany
Institute for Theoretical Biology, Humboldt University, Berlin, Germany
Jonathan F. Donges
FutureLab on Earth Resilience in the Anthropocene, Earth System Analysis, Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany
Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
Department Integrative Earth System Science, Max Planck Institute of Geoanthropology, Jena, Germany
Jobst Heitzig
FutureLab on Game Theory and Networks of Interacting Agents, Complexity Science, Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany
Ricarda Winkelmann
CORRESPONDING AUTHOR
FutureLab on Earth Resilience in the Anthropocene, Earth System Analysis, Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany
Institute of Physics and Astronomy, University of Potsdam, Potsdam, Germany
Department Integrative Earth System Science, Max Planck Institute of Geoanthropology, Jena, Germany
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Luana Schwarz, Jannes Breier, Hannah Prawitz, Max Bechthold, Werner von Bloh, Sara M. Constantino, Dieter Gerten, Jobst Heitzig, Ronja Hotz, Leander John, Christoph Müller, Johan Rockström, and Jonathan F. Donges
EGUsphere, https://doi.org/10.5194/egusphere-2025-4079, https://doi.org/10.5194/egusphere-2025-4079, 2025
This preprint is open for discussion and under review for Earth System Dynamics (ESD).
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We present a novel global model that links farmer decisions with ecological processes to explore how agricultural systems co-evolve. Unlike previous tools, it captures feedbacks between society and nature at up-to planetary scale. We find that conservation practices can restore soil health and support stable harvests. Adoption spreads through learning and norms, showing how regeneration at the farm scale can ripple outward, contributing to global sustainability and Earth system resilience.
Colin Jones, Isaline Bossert, Donovan P. Dennis, Hazel Jeffery, Chris D. Jones, Torben Koenigk, Sina Loriani, Benjamin Sanderson, Roland Séférian, Klaus Wyser, Shuting Yang, Manabu Abe, Sebastian Bathiany, Pascale Braconnot, Victor Brovkin, Friedrich A. Burger, Patrica Cadule, Frederic S. Castruccio, Gokhan Danabasoglu, Andrea Dittus, Jonathan F. Donges, Friederike Fröb, Thomas Frölicher, Goran Georgievski, Chuncheng Guo, Aixue Hu, Peter Lawrence, Paul Lerner, José Licón-Saláiz, Bette Otto-Bliesner, Anastasia Romanou, Elena Shevliakova, Yona Silvy, Didier Swingedouw, Jerry Tjiputra, Jeremy Walton, Andy Wiltshire, Ricarda Winkelmann, Richard Wood, Tokuta Yokohata, and Tilo Ziehn
EGUsphere, https://doi.org/10.5194/egusphere-2025-3604, https://doi.org/10.5194/egusphere-2025-3604, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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We introduce a new Earth system model experiment protocol to help researchers understand how Earth might respond to positive, zero, and negative carbon emissions. This protocol enables different models to be compared following similar warming and cooling rates. Researchers use the models to explore how the Earth reacts to different climate futures, including the risk of tipping points being exceeded and whether changes can be reversed. The results will support improved long-term climate policy.
Helen Werner, Dirk Scherler, Tancrède P. M. Leger, Guillaume Jouvet, and Ricarda Winkelmann
EGUsphere, https://doi.org/10.5194/egusphere-2025-3870, https://doi.org/10.5194/egusphere-2025-3870, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
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We investigated how spatial resolution affects numerical modelling of a growing and retreating alpine icefield. While the overall ice-covered area remained similar at different resolutions, ice thickness and flow are highly influenced by bedrock altitude and resolution, with the strongest changes occurring at resolutions of ~400–800 m. Our findings highlight the importance of high-resolution modelling to accurately capture glacier dynamics and topographic controls in mountainous regions.
Max Bechthold, Wolfram Barfuss, André Butz, Jannes Breier, Sara M. Constantino, Jobst Heitzig, Luana Schwarz, Sanam N. Vardag, and Jonathan F. Donges
Earth Syst. Dynam., 16, 1365–1390, https://doi.org/10.5194/esd-16-1365-2025, https://doi.org/10.5194/esd-16-1365-2025, 2025
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Social norms are a major influence on human behaviour. In natural resource use models, norms are often included in a simplistic way leading to “black or white” sustainability outcomes. We find that a dynamic representation of norms, including social groups, determines more nuanced states of the environment in a stylised model of resource use while also defining the success of attempts to manage the system, suggesting the importance of representing both aspects well in coupled models.
Lena Nicola, Ronja Reese, Moritz Kreuzer, Torsten Albrecht, and Ricarda Winkelmann
The Cryosphere, 19, 2263–2287, https://doi.org/10.5194/tc-19-2263-2025, https://doi.org/10.5194/tc-19-2263-2025, 2025
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We identify potential oceanic gateways to Antarctic grounding lines based on high-resolution bathymetry data and examine the effect of access depths on ice-shelf melt rates. These gateways manifest the deepest topographic features that could channel warm water masses to the base of the ice sheet. We identify oceanic gateways in several Antarctic regions and estimate an upper bound of melt rate changes in case all warm water masses gain access to the cavities.
Ricarda Winkelmann, Donovan P. Dennis, Jonathan F. Donges, Sina Loriani, Ann Kristin Klose, Jesse F. Abrams, Jorge Alvarez-Solas, Torsten Albrecht, David Armstrong McKay, Sebastian Bathiany, Javier Blasco Navarro, Victor Brovkin, Eleanor Burke, Gokhan Danabasoglu, Reik V. Donner, Markus Drüke, Goran Georgievski, Heiko Goelzer, Anna B. Harper, Gabriele Hegerl, Marina Hirota, Aixue Hu, Laura C. Jackson, Colin Jones, Hyungjun Kim, Torben Koenigk, Peter Lawrence, Timothy M. Lenton, Hannah Liddy, José Licón-Saláiz, Maxence Menthon, Marisa Montoya, Jan Nitzbon, Sophie Nowicki, Bette Otto-Bliesner, Francesco Pausata, Stefan Rahmstorf, Karoline Ramin, Alexander Robinson, Johan Rockström, Anastasia Romanou, Boris Sakschewski, Christina Schädel, Steven Sherwood, Robin S. Smith, Norman J. Steinert, Didier Swingedouw, Matteo Willeit, Wilbert Weijer, Richard Wood, Klaus Wyser, and Shuting Yang
EGUsphere, https://doi.org/10.5194/egusphere-2025-1899, https://doi.org/10.5194/egusphere-2025-1899, 2025
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The Tipping Points Modelling Intercomparison Project (TIPMIP) is an international collaborative effort to systematically assess tipping point risks in the Earth system using state-of-the-art coupled and stand-alone domain models. TIPMIP will provide a first global atlas of potential tipping dynamics, respective critical thresholds and key uncertainties, generating an important building block towards a comprehensive scientific basis for policy- and decision-making.
Moritz Kreuzer, Torsten Albrecht, Lena Nicola, Ronja Reese, and Ricarda Winkelmann
The Cryosphere, 19, 1181–1203, https://doi.org/10.5194/tc-19-1181-2025, https://doi.org/10.5194/tc-19-1181-2025, 2025
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The study investigates how changing sea levels around Antarctica can potentially affect the melting of floating ice shelves. It utilizes numerical models for both the Antarctic Ice Sheet and the solid Earth, investigating features like troughs and sills that control the flow of ocean water onto the continental shelf. The research finds that compared to climatic changes, the effect of relative sea level on ice-shelf melting is small.
Jordan P. Everall, Fabian Tschofenig, Jonathan F. Donges, and Ilona M. Otto
Earth Syst. Dynam., 16, 189–214, https://doi.org/10.5194/esd-16-189-2025, https://doi.org/10.5194/esd-16-189-2025, 2025
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A social tipping process is a large change in a social group that can be started by few people. Does the 80/20 rule apply here? We see if this is the case for human social groups. We find that, if the social conditions allow, change occurs when around 25 % of people engage. While tipping can happen between 10 % and 43 %, most cases tip by 40 %. However, tipping is not guaranteed: when people are resistant, trusted friend groups and context-appropriate messaging help the process along.
Ann Kristin Klose, Violaine Coulon, Frank Pattyn, and Ricarda Winkelmann
The Cryosphere, 18, 4463–4492, https://doi.org/10.5194/tc-18-4463-2024, https://doi.org/10.5194/tc-18-4463-2024, 2024
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We systematically assess the long-term sea-level response from Antarctica to warming projected over the next centuries, using two ice-sheet models. We show that this committed Antarctic sea-level contribution is substantially higher than the transient sea-level change projected for the coming decades. A low-emission scenario already poses considerable risk of multi-meter sea-level increase over the next millennia, while additional East Antarctic ice loss unfolds under the high-emission pathway.
Viktoria Spaiser, Sirkku Juhola, Sara M. Constantino, Weisi Guo, Tabitha Watson, Jana Sillmann, Alessandro Craparo, Ashleigh Basel, John T. Bruun, Krishna Krishnamurthy, Jürgen Scheffran, Patricia Pinho, Uche T. Okpara, Jonathan F. Donges, Avit Bhowmik, Taha Yasseri, Ricardo Safra de Campos, Graeme S. Cumming, Hugues Chenet, Florian Krampe, Jesse F. Abrams, James G. Dyke, Stefanie Rynders, Yevgeny Aksenov, and Bryan M. Spears
Earth Syst. Dynam., 15, 1179–1206, https://doi.org/10.5194/esd-15-1179-2024, https://doi.org/10.5194/esd-15-1179-2024, 2024
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In this paper, we identify potential negative social tipping points linked to Earth system destabilization and draw on related research to understand the drivers and likelihood of these negative social tipping dynamics, their potential effects on human societies and the Earth system, and the potential for cascading interactions and contribution to systemic risks.
Johannes Feldmann, Anders Levermann, and Ricarda Winkelmann
The Cryosphere, 18, 4011–4028, https://doi.org/10.5194/tc-18-4011-2024, https://doi.org/10.5194/tc-18-4011-2024, 2024
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Here we show in simplified simulations that the (ir)reversibility of the retreat of instability-prone, Antarctica-type glaciers can strongly depend on the depth of the bed depression they rest on. If it is sufficiently deep, then the destabilized glacier does not recover from its collapsed state. Our results suggest that glaciers resting on a wide and deep bed depression, such as Antarctica's Thwaites Glacier, are particularly susceptible to irreversible retreat.
Ann Kristin Klose, Jonathan F. Donges, Ulrike Feudel, and Ricarda Winkelmann
Earth Syst. Dynam., 15, 635–652, https://doi.org/10.5194/esd-15-635-2024, https://doi.org/10.5194/esd-15-635-2024, 2024
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We qualitatively study the long-term stability of the Greenland Ice Sheet and AMOC as tipping elements in the Earth system, which is largely unknown given their interaction in a positive–negative feedback loop. Depending on the timescales of ice loss and the position of the AMOC’s state relative to its critical threshold, we find distinct dynamic regimes of cascading tipping. These suggest that respecting safe rates of environmental change is necessary to mitigate potential domino effects.
Violaine Coulon, Ann Kristin Klose, Christoph Kittel, Tamsin Edwards, Fiona Turner, Ricarda Winkelmann, and Frank Pattyn
The Cryosphere, 18, 653–681, https://doi.org/10.5194/tc-18-653-2024, https://doi.org/10.5194/tc-18-653-2024, 2024
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We present new projections of the evolution of the Antarctic ice sheet until the end of the millennium, calibrated with observations. We show that the ocean will be the main trigger of future ice loss. As temperatures continue to rise, the atmosphere's role may shift from mitigating to amplifying Antarctic mass loss already by the end of the century. For high-emission scenarios, this may lead to substantial sea-level rise. Adopting sustainable practices would however reduce the rate of ice loss.
Nico Wunderling, Anna S. von der Heydt, Yevgeny Aksenov, Stephen Barker, Robbin Bastiaansen, Victor Brovkin, Maura Brunetti, Victor Couplet, Thomas Kleinen, Caroline H. Lear, Johannes Lohmann, Rosa Maria Roman-Cuesta, Sacha Sinet, Didier Swingedouw, Ricarda Winkelmann, Pallavi Anand, Jonathan Barichivich, Sebastian Bathiany, Mara Baudena, John T. Bruun, Cristiano M. Chiessi, Helen K. Coxall, David Docquier, Jonathan F. Donges, Swinda K. J. Falkena, Ann Kristin Klose, David Obura, Juan Rocha, Stefanie Rynders, Norman Julius Steinert, and Matteo Willeit
Earth Syst. Dynam., 15, 41–74, https://doi.org/10.5194/esd-15-41-2024, https://doi.org/10.5194/esd-15-41-2024, 2024
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This paper maps out the state-of-the-art literature on interactions between tipping elements relevant for current global warming pathways. We find indications that many of the interactions between tipping elements are destabilizing. This means that tipping cascades cannot be ruled out on centennial to millennial timescales at global warming levels between 1.5 and 2.0 °C or on shorter timescales if global warming surpasses 2.0 °C.
Sina Loriani, Yevgeny Aksenov, David Armstrong McKay, Govindasamy Bala, Andreas Born, Cristiano M. Chiessi, Henk Dijkstra, Jonathan F. Donges, Sybren Drijfhout, Matthew H. England, Alexey V. Fedorov, Laura Jackson, Kai Kornhuber, Gabriele Messori, Francesco Pausata, Stefanie Rynders, Jean-Baptiste Salée, Bablu Sinha, Steven Sherwood, Didier Swingedouw, and Thejna Tharammal
EGUsphere, https://doi.org/10.5194/egusphere-2023-2589, https://doi.org/10.5194/egusphere-2023-2589, 2023
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In this work, we draw on paleoreords, observations and modelling studies to review tipping points in the ocean overturning circulations, monsoon systems and global atmospheric circulations. We find indications for tipping in the ocean overturning circulations and the West African monsoon, with potentially severe impacts on the Earth system and humans. Tipping in the other considered systems is considered conceivable but currently not sufficiently supported by evidence.
Hélène Seroussi, Vincent Verjans, Sophie Nowicki, Antony J. Payne, Heiko Goelzer, William H. Lipscomb, Ayako Abe-Ouchi, Cécile Agosta, Torsten Albrecht, Xylar Asay-Davis, Alice Barthel, Reinhard Calov, Richard Cullather, Christophe Dumas, Benjamin K. Galton-Fenzi, Rupert Gladstone, Nicholas R. Golledge, Jonathan M. Gregory, Ralf Greve, Tore Hattermann, Matthew J. Hoffman, Angelika Humbert, Philippe Huybrechts, Nicolas C. Jourdain, Thomas Kleiner, Eric Larour, Gunter R. Leguy, Daniel P. Lowry, Chistopher M. Little, Mathieu Morlighem, Frank Pattyn, Tyler Pelle, Stephen F. Price, Aurélien Quiquet, Ronja Reese, Nicole-Jeanne Schlegel, Andrew Shepherd, Erika Simon, Robin S. Smith, Fiammetta Straneo, Sainan Sun, Luke D. Trusel, Jonas Van Breedam, Peter Van Katwyk, Roderik S. W. van de Wal, Ricarda Winkelmann, Chen Zhao, Tong Zhang, and Thomas Zwinger
The Cryosphere, 17, 5197–5217, https://doi.org/10.5194/tc-17-5197-2023, https://doi.org/10.5194/tc-17-5197-2023, 2023
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Mass loss from Antarctica is a key contributor to sea level rise over the 21st century, and the associated uncertainty dominates sea level projections. We highlight here the Antarctic glaciers showing the largest changes and quantify the main sources of uncertainty in their future evolution using an ensemble of ice flow models. We show that on top of Pine Island and Thwaites glaciers, Totten and Moscow University glaciers show rapid changes and a strong sensitivity to warmer ocean conditions.
Julius Garbe, Maria Zeitz, Uta Krebs-Kanzow, and Ricarda Winkelmann
The Cryosphere, 17, 4571–4599, https://doi.org/10.5194/tc-17-4571-2023, https://doi.org/10.5194/tc-17-4571-2023, 2023
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We adopt the novel surface module dEBM-simple in the Parallel Ice Sheet Model (PISM) to investigate the impact of atmospheric warming on Antarctic surface melt and long-term ice sheet dynamics. As an enhancement compared to traditional temperature-based melt schemes, the module accounts for changes in ice surface albedo and thus the melt–albedo feedback. Our results underscore the critical role of ice–atmosphere feedbacks in the future sea-level contribution of Antarctica on long timescales.
Emily A. Hill, Benoît Urruty, Ronja Reese, Julius Garbe, Olivier Gagliardini, Gaël Durand, Fabien Gillet-Chaulet, G. Hilmar Gudmundsson, Ricarda Winkelmann, Mondher Chekki, David Chandler, and Petra M. Langebroek
The Cryosphere, 17, 3739–3759, https://doi.org/10.5194/tc-17-3739-2023, https://doi.org/10.5194/tc-17-3739-2023, 2023
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The grounding lines of the Antarctic Ice Sheet could enter phases of irreversible retreat or advance. We use three ice sheet models to show that the present-day locations of Antarctic grounding lines are reversible with respect to a small perturbation away from their current position. This indicates that present-day retreat of the grounding lines is not yet irreversible or self-enhancing.
Ronja Reese, Julius Garbe, Emily A. Hill, Benoît Urruty, Kaitlin A. Naughten, Olivier Gagliardini, Gaël Durand, Fabien Gillet-Chaulet, G. Hilmar Gudmundsson, David Chandler, Petra M. Langebroek, and Ricarda Winkelmann
The Cryosphere, 17, 3761–3783, https://doi.org/10.5194/tc-17-3761-2023, https://doi.org/10.5194/tc-17-3761-2023, 2023
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We use an ice sheet model to test where current climate conditions in Antarctica might lead. We find that present-day ocean and atmosphere conditions might commit an irreversible collapse of parts of West Antarctica which evolves over centuries to millennia. Importantly, this collapse is not irreversible yet.
Johanna Beckmann and Ricarda Winkelmann
The Cryosphere, 17, 3083–3099, https://doi.org/10.5194/tc-17-3083-2023, https://doi.org/10.5194/tc-17-3083-2023, 2023
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Over the past decade, Greenland has experienced several extreme melt events.
With progressing climate change, such extreme melt events can be expected to occur more frequently and potentially become more severe and persistent.
Strong melt events may considerably contribute to Greenland's mass loss, which in turn strongly determines future sea level rise. How important these extreme melt events could be in the future is assessed in this study for the first time.
Lena Nicola, Dirk Notz, and Ricarda Winkelmann
The Cryosphere, 17, 2563–2583, https://doi.org/10.5194/tc-17-2563-2023, https://doi.org/10.5194/tc-17-2563-2023, 2023
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For future sea-level projections, approximating Antarctic precipitation increases through temperature-scaling approaches will remain important, as coupled ice-sheet simulations with regional climate models remain computationally expensive, especially on multi-centennial timescales. We here revisit the relationship between Antarctic temperature and precipitation using different scaling approaches, identifying and explaining regional differences.
Maria Zeitz, Jan M. Haacker, Jonathan F. Donges, Torsten Albrecht, and Ricarda Winkelmann
Earth Syst. Dynam., 13, 1077–1096, https://doi.org/10.5194/esd-13-1077-2022, https://doi.org/10.5194/esd-13-1077-2022, 2022
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The stability of the Greenland Ice Sheet under global warming is crucial. Here, using PISM, we study how the interplay of feedbacks between the ice sheet, the atmosphere and solid Earth affects the long-term response of the Greenland Ice Sheet under constant warming. Our findings suggest four distinct dynamic regimes of the Greenland Ice Sheet on the route to destabilization under global warming – from recovery via quasi-periodic oscillations in ice volume to ice sheet collapse.
Tanja Schlemm, Johannes Feldmann, Ricarda Winkelmann, and Anders Levermann
The Cryosphere, 16, 1979–1996, https://doi.org/10.5194/tc-16-1979-2022, https://doi.org/10.5194/tc-16-1979-2022, 2022
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Marine cliff instability, if it exists, could dominate Antarctica's contribution to future sea-level rise. It is likely to speed up with ice thickness and thus would accelerate in most parts of Antarctica. Here, we investigate a possible mechanism that might stop cliff instability through cloaking by ice mélange. It is only a first step, but it shows that embayment geometry is, in principle, able to stop marine cliff instability in most parts of West Antarctica.
Johannes Feldmann, Ronja Reese, Ricarda Winkelmann, and Anders Levermann
The Cryosphere, 16, 1927–1940, https://doi.org/10.5194/tc-16-1927-2022, https://doi.org/10.5194/tc-16-1927-2022, 2022
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We use a numerical model to simulate the flow of a simplified, buttressed Antarctic-type outlet glacier with an attached ice shelf. We find that after a few years of perturbation such a glacier responds much stronger to melting under the ice-shelf shear margins than to melting in the central fast streaming part of the ice shelf. This study explains the underlying physical mechanism which might gain importance in the future if melt rates under the Antarctic ice shelves continue to increase.
Maria Zeitz, Ronja Reese, Johanna Beckmann, Uta Krebs-Kanzow, and Ricarda Winkelmann
The Cryosphere, 15, 5739–5764, https://doi.org/10.5194/tc-15-5739-2021, https://doi.org/10.5194/tc-15-5739-2021, 2021
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With the increasing melt of the Greenland Ice Sheet, which contributes to sea level rise, the surface of the ice darkens. The dark surfaces absorb more radiation and thus experience increased melt, resulting in the melt–albedo feedback. Using a simple surface melt model, we estimate that this positive feedback contributes to an additional 60 % ice loss in a high-warming scenario and additional 90 % ice loss for moderate warming. Albedo changes are important for Greenland’s future ice loss.
Jonathan F. Donges, Wolfgang Lucht, Sarah E. Cornell, Jobst Heitzig, Wolfram Barfuss, Steven J. Lade, and Maja Schlüter
Earth Syst. Dynam., 12, 1115–1137, https://doi.org/10.5194/esd-12-1115-2021, https://doi.org/10.5194/esd-12-1115-2021, 2021
Moritz Kreuzer, Ronja Reese, Willem Nicholas Huiskamp, Stefan Petri, Torsten Albrecht, Georg Feulner, and Ricarda Winkelmann
Geosci. Model Dev., 14, 3697–3714, https://doi.org/10.5194/gmd-14-3697-2021, https://doi.org/10.5194/gmd-14-3697-2021, 2021
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We present the technical implementation of a coarse-resolution coupling between an ice sheet model and an ocean model that allows one to simulate ice–ocean interactions at timescales from centuries to millennia. As ice shelf cavities cannot be resolved in the ocean model at coarse resolution, we bridge the gap using an sub-shelf cavity module. It is shown that the framework is computationally efficient, conserves mass and energy, and can produce a stable coupled state under present-day forcing.
Nico Wunderling, Jonathan F. Donges, Jürgen Kurths, and Ricarda Winkelmann
Earth Syst. Dynam., 12, 601–619, https://doi.org/10.5194/esd-12-601-2021, https://doi.org/10.5194/esd-12-601-2021, 2021
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In the Earth system, climate tipping elements exist that can undergo qualitative changes in response to environmental perturbations. If triggered, this would result in severe consequences for the biosphere and human societies. We quantify the risk of tipping cascades using a conceptual but fully dynamic network approach. We uncover that the risk of tipping cascades under global warming scenarios is enormous and find that the continental ice sheets are most likely to initiate these failures.
Sebastian H. R. Rosier, Ronja Reese, Jonathan F. Donges, Jan De Rydt, G. Hilmar Gudmundsson, and Ricarda Winkelmann
The Cryosphere, 15, 1501–1516, https://doi.org/10.5194/tc-15-1501-2021, https://doi.org/10.5194/tc-15-1501-2021, 2021
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Pine Island Glacier has contributed more to sea-level rise over the past decades than any other glacier in Antarctica. Ice-flow modelling studies have shown that it can undergo periods of rapid mass loss, but no study has shown that these future changes could cross a tipping point and therefore be effectively irreversible. Here, we assess the stability of Pine Island Glacier, quantifying the changes in ocean temperatures required to cross future tipping points using statistical methods.
Maria Zeitz, Anders Levermann, and Ricarda Winkelmann
The Cryosphere, 14, 3537–3550, https://doi.org/10.5194/tc-14-3537-2020, https://doi.org/10.5194/tc-14-3537-2020, 2020
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The flow of ice drives mass losses in the large ice sheets. Sea-level rise projections rely on ice-sheet models, solving the physics of ice flow and melt. Unfortunately the parameters in the physics of flow are uncertain. Here we show, in an idealized setup, that these uncertainties can double flow-driven mass losses within the possible range of parameters. It is possible that this uncertainty carries over to realistic sea-level rise projections.
Cited articles
Akerlof, K., Merrill, J., Yusuf, J.-E., Covi, M., and Rohring, E.: Key beliefs and attitudes for sea-level rise policy, Coast. Manage., 47, 406–428, 2019. a
Andreoni, J., Nikiforakis, N., and Siegenthaler, S.: Predicting social tipping and norm change in controlled experiments, P. Natl. Acad. Sci. USA, 118, e2014893118, https://doi.org/10.1073/pnas.2014893118, 2021. a
Armstrong McKay, D. I., Staal, A., Abrams, J. F., Winkelmann, R., Sakschewski, B., Loriani, S., Fetzer, I., Cornell, S. E., Rockström, J., and Lenton, T. M.: Exceeding 1.5 C global warming could trigger multiple climate tipping points, Science, 377, eabn7950, https://doi.org/10.1126/science.abn7950, 2022. a, b
Barabási, A.-L. and Albert, R.: Emergence of Scaling in Random Networks, Science, 286, 509–512, https://doi.org/10.1126/science.286.5439.509, 1999. a
Barragán, J. M. and de Andrés, M.: Analysis and trends of the world's coastal cities and agglomerations, Ocean Coast. Manage., 114, 11–20, https://doi.org/10.1016/j.ocecoaman.2015.06.004, 2015. a, b
Baumgartner, F. R. and Jones, B. D.: Agendas and instability in American politics, University of Chicago Press, Chicago, ISBN 978-0-226-03949-7, 2010. a
Beckage, B., Gross, L. J., Lacasse, K., Carr, E., Metcalf, S. S., Winter, J. M., Howe, P. D., Fefferman, N., Franck, T., Zia, A., and Kinzig, A/: Linking models of human behaviour and climate alters projected climate change, Nat. Clim. Change, 8, 79–84, 2018. a
Beckage, B., Moore, F. C., and Lacasse, K.: Incorporating human behaviour into Earth system modelling, Nature Human Behaviour, 6, 1493–1502, 2022. a
Bergquist, M., Nilsson, A., Harring, N., and Jagers, S. C.: Meta-analyses of fifteen determinants of public opinion about climate change taxes and laws, Nat. Clim. Change, 12, 235–240, 2022. a
Bolsen, T., Kingsland, J., and Palm, R.: The impact of frames highlighting coastal flooding in the USA on climate change beliefs, Climatic Change, 147, 359–368, 2018. a
Böttcher, L., Nagler, J., and Herrmann, H. J.: Critical behaviors in contagion dynamics, Phys. Rev. Lett., 118, 088301, https://doi.org/10.1103/PhysRevLett.118.088301, 2017. a
Boulton, C. A., Buxton, J. E., and Lenton, T. M.: Early opportunity signals of a tipping point in the UK's second-hand electric vehicle market, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-2234, 2023. a
Buchanan, M. K., Kopp, R. E., Oppenheimer, M., and Tebaldi, C.: Allowances for evolving coastal flood risk under uncertain local sea-level rise, Climatic Change, 137, 347–362, 2016. a
Castilla-Rho, J. C., Rojas, R., Andersen, M. S., Holley, C., and Mariethoz, G.: Social tipping points in global groundwater management, Nature Human Behaviour, 1, 640–649, 2017. a
Cazenave, A. and Cozannet, G. L.: Sea level rise and its coastal impacts, Earth's Future, 2, 15–34, https://doi.org/10.1002/2013EF000188, 2014. a
Cecere, G., Corrocher, N., Gossart, C., and Ozman, M.: Lock-in and path dependence: an evolutionary approach to eco-innovations, J. Evol. Econ., 24, 1037–1065, 2014. a
Center for International Earth Science Information Network: Gridded population of the world, version 4 (GPWv4): population density, NASA Socioeconomic Data and Applications Center (SEDAC) Palisades, NY, https://doi.org/10.7927/H49C6VHW, 2016. a, b
Center for International Earth Science Information Network (CIESIN): Columbia University, Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11, Palisades, NY, NASA Socioeconomic Data and Applications Center (SEDAC) [data set], https://doi.org/10.7927/H49C6VHW, 2018.
Chu, O., Donges, J., Pop-Eleches, G., and Robertson, G.: The micro-dynamics of geographic polarization: a model and an application to survey data from Ukraine, P. Natl. Acad. Sci. USA, 118, e2104194, https://doi.org/10.1073/pnas.2104194118, 2021. a
Clark, P. U., Shakun, J. D., Marcott, S. A., Mix, A. C., Eby, M., Kulp, S., Levermann, A., Milne, G. A., Pfister, P. L., Santer, B. D., Schrag, D. P., Solomon, S., Stocker, T. F., Strauss, B. H., Weaver, A. J., Winkelmann, R., Archer, D., Bard, E., Goldner, A., Lambeck, K., Pierrehumbert, R. T., and Plattner, G.-K.: Consequences of twenty-first-century policy for multi-millennial climate and sea-level change, Nat. Clim. Change, 6, 360–369, https://doi.org/10.1038/nclimate2923, 2016. a
Cologna, V. and Siegrist, M.: The role of trust for climate change mitigation and adaptation behaviour: A meta-analysis, J. Environ. Psychol., 69, 101428, https://doi.org/10.1016/j.jenvp.2020.101428, 2020. a, b
Corral-Verdugo, V., Caso-Niebla, J., Tapia-Fonllem, C., and Frías-Armenta, M.: Consideration of immediate and future consequences in accepting and responding to anthropogenic climate change, Psychology, 8, 1519–1531, 2017. a
Covi, M. P. and Kain, D. J.: Sea-level rise risk communication: Public understanding, risk perception, and attitudes about information, Environ. Commun., 10, 612–633, 2016. a
Dall, J. and Christensen, M.: Random geometric graphs, Phys. Rev. E, 66, 016121, https://doi.org/10.1103/PhysRevE.66.016121, 2002. a
DeConto, R. M., Pollard, D., Alley, R. B., Velicogna, I., Gasson, E., Gomez, N., Sadai, S., Condron, A., Gilford, D. M., Ashe, E. L., and Kopp, R. E.: The Paris Climate Agreement and future sea-level rise from Antarctica, Nature, 593, 83–89, 2021. a
De Marchi, S. and Page, S. E.: Agent-based models, Annu. Rev. Polit. Sci., 17, 1–20, 2014. a
Demski, C., Capstick, S., Pidgeon, N., Sposato, R. G., and Spence, A.: Experience of extreme weather affects climate change mitigation and adaptation responses, Climatic Change, 140, 149–164, https://doi.org/10.1007/s10584-016-1837-4, 2017. a, b
Diekmann, A. and Preisendörfer, P.: Green and Greenback: The Behavioral Effects of Environmental Attitudes in Low-Cost and High-Cost Situations, Ration. Soc., 15, 441–472, https://doi.org/10.1177/1043463103154002, 2003. a
Dodds, P. S. and Watts, D. J.: Universal behavior in a generalized model of contagion, Phys. Rev. Lett., 92, 218701, https://doi.org/10.1103/PhysRevLett.92.218701, 2004. a, b
Donges, J. F., Winkelmann, R., Lucht, W., Cornell, S. E., Dyke, J. G., Rockström, J., Heitzig, J., and Schellnhuber, H. J.: Closing the loop: Reconnecting human dynamics to Earth System science, The Anthropocene Review, 4, 151–157, 2017. a
Donges, J. F., Heitzig, J., Barfuss, W., Wiedermann, M., Kassel, J. A., Kittel, T., Kolb, J. J., Kolster, T., Müller-Hansen, F., Otto, I. M., Zimmerer, K. B., and Lucht, W.: Earth system modeling with endogenous and dynamic human societies: the copan:CORE open World–Earth modeling framework, Earth Syst. Dynam., 11, 395–413, https://doi.org/10.5194/esd-11-395-2020, 2020. a
Erdős, P. and Rényi, A.: On the evolution of random graphs, Publ. Math. Inst. Hung. Acad. Sci., 5, 17–61, https://doi.org/10.1515/9781400841356.38, 1960. a
European Bank for Reconstruction and Development: https://www.ebrd.com/what-we-do/economic-research-and-data/data/lits.html, last access: 14 April 2025.
European Commission, Brussels: Eurobarometer 91.3 (2019), GESIS Data Archive, Cologne, ZA7572 Data file Version 1.0.0, [data set], https://doi.org/10.4232/1.13372, 2019.
European Commission and European Parliament, Brussels: Eurobarometer 87.1 (2017), GESIS Data Archive, Cologne, ZA6861 Data file Version 2.0.0, [data set], https://doi.org/10.4232/1.13738, 2021.
European Social Survey European Research Infrastructure (ESS ERIC): ESS round 8 – 2016, Welfare attitudes, Attitudes to climate change, Sikt – Norwegian Agency for Shared Services in Education and Research, https://doi.org/10.21338/NSD-ESS8-2016, 2023.
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., and Seal, D.: The shuttle radar topography mission, Rev. Geophys., 45, 1–33, https://doi.org/10.1029/2005RG000183, 2007. a, b
Fesenfeld, L. P., Schmid, N., Finger, R., Mathys, A., and Schmidt, T. S.: The politics of enabling tipping points for sustainable development, One Earth, 5, 1100–1108, 2022. a
Frederick, S., Loewenstein, G., and O'Donoghue, T.: Time Discounting and Time Preference: A Critical Review, J. Econ. Lit., 40, 351–401, 2002. a
Geels, F. W.: Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study, Res. Policy, 31, 1257–1274, 2002. a
Golledge, N. R.: Long-term projections of sea-level rise from ice sheets, WIRes Clim. Change, 11, e634, https://doi.org/10.1002/wcc.634, 2020. a
Gross, T. and Sayama, H. (Eds.): Adaptive networks, Springer, https://doi.org/10.1007/978-3-642-01284-6 1, 2009. a
Guilbeault, D. and Centola, D.: Topological measures for identifying and predicting the spread of complex contagions, Nat. Commun., 12, 1–9, 2021. a
Hinkel, J., Lincke, D., Vafeidis, A. T., Perrette, M., Nicholls, R. J., Tol, R. S., Marzeion, B., Fettweis, X., Ionescu, C., and Levermann, A.: Coastal flood damage and adaptation costs under 21st century sea-level rise, P. Natl. Acad. Sci. USA, 111, 3292–3297, 2014. a
Hinkel, J., Mangalagiu, D., Bisaro, A., and Tàbara, J. D.: Transformative narratives for climate action, Climatic Change, 160, 495–506, https://doi.org/10.1007/s10584-020-02761-y, 2020. a
Hodbod, J., Milkoreit, M., Baggio, J., Mathias, J.-D., and Schoon, M.: Principles for a case study approach to social tipping points, in: Positive Tipping Points Towards Sustainability: Understanding the Conditions and Strategies for Fast Decarbonization in Regions, 79–99, Springer International Publishing Cham, https://doi.org/10.1007/978-3-031-50762-5, 2024. a
Hoffmann, R., Muttarak, R., Peisker, J., and Stanig, P.: Climate change experiences raise environmental concerns and promote Green voting, Nat. Clim. Change, 12, 148–155, 2022. a
Hofstede, G. and Bond, M. H.: Hofstede's culture dimensions: An independent validation using Rokeach's value survey, J. Cross Cult. Psychol., 15, 417–433, 1984. a
Howe, P. D., Marlon, J. R., Mildenberger, M., and Shield, B. S.: How will climate change shape climate opinion?, Environ. Res. Lett., 14, 113001, https://doi.org/10.1088/1748-9326/ab466a, 2019. a
Hurlstone, M. J., Price, A., Wang, S., Leviston, Z., and Walker, I.: Activating the legacy motive mitigates intergenerational discounting in the climate game, Global Environ. Change, 60, 102008, https://doi.org/10.1016/j.gloenvcha.2019.102008, 2020. a, b
Iacopini, I., Petri, G., Barrat, A., and Latora, V.: Simplicial models of social contagion, Nat. Commun., 10, 1–9, 2019. a
IEA (International Energy Agency): CO2 Emissions from Fuel Combustion, IEA, 2020. a
IPCC: IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, edited by: Pörtner, H.-O., Roberts, D. C., Masson-Delmotte, V., Zhai, P., Tignor, M., Poloczanska, E., Mintenbeck, K., Alegría, A., Nicolai, M., Okem, A., Petzold, J., Rama, B., and Weyer, N. M.: Cambridge University Press. https://doi.org/10.1017/9781009157964, 2019. a
Ioris, A. A.: Socioecological economics of water development in the Brazilian Amazon: Elements for a critical reflection, Ecol. Econ., 173, https://doi.org/10.1016/j.ecolecon.2020.106654, 2020. a
ISSP Research Group: International Social Survey Programme: Environment IV – ISSP 2020, GESIS, Cologne, ZA7650 Data file Version 2.0.0, https://doi.org/10.4232/1.14153, 2023.
Jusup, M., Holme, P., Kanazawa, K., Takayasu, M., Romić, I., Wang, Z., Geček, S., Lipić, T., Podobnik, B., Wang, L., and Luo, W.: Social physics, Phys. Rep., 948,1–148, https://doi.org/10.1016/j.physrep.2021.10.005, 2022. a
Kaaronen, R. O. and Strelkovskii, N.: Cultural evolution of sustainable behaviors: Pro-environmental tipping points in an agent-based model, One Earth, 2, 85–97, 2020. a
Karsai, M., Iñiguez, G., Kikas, R., Kaski, K., and Kertész, J.: Local cascades induced global contagion: How heterogeneous thresholds, exogenous effects, and unconcerned behaviour govern online adoption spreading, Sci. Rep., 6, 1–10, 2016. a
Kollmuss, A. and Agyeman, J.: Mind the Gap: Why do people act environmentally and what are the barriers to pro-environmental behavior?, Environ. Educ. Res., 8, 239–260, https://doi.org/10.1080/13504620220145401, 2002. a, b
Konisky, D. M., Hughes, L., and Kaylor, C. H.: Extreme weather events and climate change concern, Climatic Change, 134, 533–547, https://doi.org/10.1007/s10584-015-1555-3, 2016. a, b
Kopp, R. E., Gilmore, E. A., Shwom, R. L., Adams, H., Adler, C., Oppenheimer, M., Patwardhan, A., Russill, C., Schmidt, D. N., and York, R.: “Tipping points” confuse and can distract from urgent climate action, Nat. Clim. Change, 15, 29–36, 2025. a
Lehmann, S. and Ahn, Y.-Y.: Complex spreading phenomena in social systems, Springer, https://doi.org/10.1007/978-3-319-77332-2, 2018. a
Leiserowitz, A., Carman, J., Buttermore, N., Neyens, L., Rosenthal, S., Marlon, J., Schneider, J., and Mulcahy, K.: International Public Opinion on Climate Change, 2022, New Haven, CT: Yale Program on Climate Change Communication and Data for Good at Meta, https://climatecommunication.yale.edu/publications/international-public-opinion-on-climate-change-2022/ (last access: 14 April 2025), 2022.
Lemoine, D. and Traeger, C. P.: Economics of tipping the climate dominoes, Nat. Clim. Change, 6, 514–519, 2016. a
Lenton, T. M.: Tipping positive change, Philos. T. R. Soc. B, 375, 20190123, https://doi.org/10.1098/rstb.2019.0123, 2020. a, b, c
Lenton, T. M. and Williams, H. T.: On the origin of planetary-scale tipping points, Trend. Ecol. Evol., 28, 380–382, 2013. a
Lenton, T. M., Benson, S., Smith, T., Ewer, T., Lanel, V., Petykowski, E., Powell, T. W., Abrams, J. F., Blomsma, F., and Sharpe, S.: Operationalising positive tipping points towards global sustainability, Global Sustainability, 5, e1, https://doi.org/10.1017/sus.2021.30, 2022. a, b, c, d
Lenton, T. M., Armstrong McKay, D. I., Loriani, S., Abrams, J. F., Lade, S. J., Donges, J. F., Milkoreit, M., Powell, T., Smith, S. R., Zimm, C., Buxton, J. E., Laybourn, L., Ghadiali, A., and Dyke, J. G.: The Global Tipping Points Report 2023, University of Exeter, Exeter, UK, https://report-2023.global-tipping-points.org/ (last access: 9 April 2025), 2023. a
Levin, S., Xepapadeas, T., Crépin, A.-S., Norberg, J., De Zeeuw, A., Folke, C., Hughes, T., Arrow, K., Barrett, S., Daily, G., and Ehrlich, P.: Social-ecological systems as complex adaptive systems: modeling and policy implications, Environ. Dev. Econ., 18, 111–132, 2013. a
Maiella, R., La Malva, P., Marchetti, D., Pomarico, E., Di Crosta, A., Palumbo, R., Cetara, L., Di Domenico, A., and Verrocchio, M. C.: The psychological distance and climate change: A systematic review on the mitigation and adaptation behaviors, Front. Psychol., 11, 2459, https://doi.org/10.3389/fpsyg.2020.568899, 2020. a
Marquart-Pyatt, S. T., Qian, H., Houser, M. K., and McCright, A. M.: Climate change views, energy policy preferences, and intended actions across welfare state regimes: Evidence from the European Social Survey, Int. J. Sociol., 49, 1–26, 2019. a
Marzeion, B. and Levermann, A.: Loss of cultural world heritage and currently inhabited places to sea-level rise, Environ. Res. Lett., 9, 034001, https://doi.org/10.1088/1748-9326/9/3/034001, 2014. a, b, c
Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J., Maycock, T., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B.: IPCC, 2021: Summary for Policymakers, in: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, https://doi.org/10.1017/9781009157896.001, 2021. a, b
Mayer, A. and Smith, E. K.: Unstoppable climate change? The influence of fatalistic beliefs about climate change on behavioural change and willingness to pay cross-nationally, Clim. Policy, 19, 511–523, 2019. a
McAdam, D.: Social Movement Theory and the Prospects for Climate Change Activism in the United States, Annu. Rev. Polit. Sci., 20, 189–208, https://doi.org/10.1146/annurev-polisci-052615-025801, 2017. a
Menck, P. J., Heitzig, J., Marwan, N., and Kurths, J.: How basin stability complements the linear-stability paradigm, Nat. Phys., 9, 89–92, 2013. a
Mengel, M., Nauels, A., Rogelj, J., and Schleussner, C.-F.: Committed sea-level rise under the Paris Agreement and the legacy of delayed mitigation action, Nat. Commun., 9, 601, https://doi.org/10.1038/s41467-018-02985-8, 2018. a
Milfont, T. L., Wilson, J., and Diniz, P.: Time perspective and environmental engagement: A meta-analysis, Int. J. Psychol., 47, 325–334, 2012. a
Milkoreit, M.: Social tipping points everywhere? – Patterns and risks of overuse, WIRes Clim. Change, 14, e813, https://doi.org/10.1002/wcc.813, 2023. a
Milkoreit, M., Hodbod, J., Baggio, J., Benessaiah, K., Calderón-Contreras, R., Donges, J. F., Mathias, J.-D., Rocha, J. C., Schoon, M., and Werners, S. E.: Defining tipping points for social-ecological systems scholarship – an interdisciplinary literature review, Environ. Res. Lett., 13, 033005, https://doi.org/10.1088/1748-9326/aaaa75, 2018. a, b, c
Moser, S. C. and Dilling, L.: Toward the social tipping point: creating a climate for change, 491–516, Cambridge University Press, https://doi.org/10.1017/CBO9780511535871.035, 2007. a
Muis, S., Verlaan, M., Winsemius, H. C., Aerts, J. C., and Ward, P. J.: A global reanalysis of storm surges and extreme sea levels, Nat. Commun., 7, 1–12, 2016. a
Müller, P. M., Heitzig, J., Kurths, J., Lüdge, K., and Wiedermann, M.: Anticipation-induced social tipping: can the environment be stabilised by social dynamics?, Eur. Phys. J.-Spec. Top., 230, 3189–3199, https://doi.org/10.1140/epjs/s11734-021-00011-5, 2021. a, b, c
Müller-Hansen, F., Schlüter, M., Mäs, M., Donges, J. F., Kolb, J. J., Thonicke, K., and Heitzig, J.: Towards representing human behavior and decision making in Earth system models – an overview of techniques and approaches, Earth Syst. Dynam., 8, 977–1007, https://doi.org/10.5194/esd-8-977-2017, 2017. a, b
NASA Shuttle Radar Topography Mission (SRTM): Shuttle Radar Topography Mission (SRTM) Global, Distributed by OpenTopography, https://dds.cr.usgs.gov/srtm/version2_1/SRTM30/ (last access: 14 April 2025), 2013.
Nauels, A., Meinshausen, M., Mengel, M., Lorbacher, K., and Wigley, T. M. L.: Synthesizing long-term sea level rise projections – the MAGICC sea level model v2.0, Geosci. Model Dev., 10, 2495–2524, https://doi.org/10.5194/gmd-10-2495-2017, 2017a. a, b, c
Nauels, A., Meinshausen, M., Mengel, M., Lorbacher, K., and Wigley, T. M. L.: Source code for “Synthesizing long-term sea level rise projections – the MAGICC sea level model v2.0”, Zenodo [code], https://doi.org/10.5281/zenodo.572395, 2017b. a
Nauels, A., Meinshausen, M., Mengel, M., Lorbacher, K., and Wigley, T. M. L.: Supporting data for “Synthesizing long-term sea level rise projections – the MAGICC sea level model v2.0”, Zenodo [data set], https://doi.org/10.5281/zenodo.572398, 2017c. a
Newman, M.: Networks, Oxford university press, https://doi.org/10.1093/oso/9780198805090.001.0001, 2018. a
Nicholls, R. J. and Cazenave, A.: Sea-Level Rise and Its Impact on Coastal Zones, Science, 328, 1517–1520, https://doi.org/10.1126/science.1185782, 2010. a
Nicholls, R. J., Lincke, D., Hinkel, J., Brown, S., Vafeidis, A. T., Meyssignac, B., Hanson, S. E., Merkens, J.-L., and Fang, J.: A global analysis of subsidence, relative sea-level change and coastal flood exposure, Nat. Clim. Change, 11, 338–342, https://doi.org/10.1038/s41558-021-00993-z, 2021. a
Nielsen, K. S., Cologna, V., Bauer, J. M., Berger, S., Brick, C., Dietz, T., Hahnel, U. J., Henn, L., Lange, F., Stern, P. C., et al.: Realizing the full potential of behavioural science for climate change mitigation, Nat. Clim. Change, 14, 322–330, https://doi.org/10.1038/s41558-024-01951-1, 2024. a
Nyborg, K., Anderies, J. M., Dannenberg, A., Lindahl, T., Schill, C., Schlüter, M., Adger, W. N., Arrow, K. J., Barrett, S., Carpenter, S., Chapin, F. S., III, Crépin, A.-S., Daily, G., Ehrlich, P., Folke, C., Jager, W., Kautsky, N., Levin, S. A., Madsen, O. J., Polasky, S., Scheffer, M., Walker, B., Weber, E. U., Wilen, J., Xepapadeas, A., and de Zeeuw, A.: Social norms as solutions, Science, 354, 42–43, 2016. a, b, c
Olsson, P. and Moore, M.-L.: Transformations, agency and positive tipping points: A resilience-based approach, in: Positive Tipping Points Towards Sustainability: Understanding the Conditions and Strategies for Fast Decarbonization in Regions, 59–77, Springer International Publishing Cham, https://doi.org/10.1007/978-3-031-50762-5_4, 2024. a, b, c
Olsson, P., Galaz, V., and Boonstra, W. J.: Sustainability transformations: a resilience perspective, Ecol. Soc., 19, https://doi.org/10.5751/ES-06799-190401, 2014. a
Oppenheimer, M., Glavovic, B., Hinkel, J., van de Wal, R., Magnan, A. K., Abd-Elgawad, A., Cai, R., Cifuentes-Jara, M., Deconto, R. M., Ghosh, T., Hay, J., Isla, F., Marzeion, B., Meyssignac, B., and Sebesvari, Z.: Sea level rise and implications for low lying islands, coasts and communities, 321–445, Cambridge University Press, https://doi.org/10.1017/9781009157964.006, 2019. a
Otto, I. M., Donges, J. F., Cremades, R., Bhowmik, A., Hewitt, R. J., Lucht, W., Rockström, J., Allerberger, F., McCaffrey, M., Doe, S. S., Lenferna, A., Morán, N., van Vuuren, D. P., and Schellnhuber, H. J.: Social tipping dynamics for stabilizing Earth's climate by 2050, P. Natl. Acad. Sci. USA, 117, 2354–2365, 2020a. a, b, c, d, e, f, g
Otto, I. M., Wiedermann, M., Cremades, R., Donges, J. F., Auer, C., and Lucht, W.: Human agency in the Anthropocene, Ecol. Econ., 167, 106463, https://doi.org/10.1016/j.ecolecon.2019.106463, 2020b. a
Pahl, S., Sheppard, S., Boomsma, C., and Groves, C.: Perceptions of time in relation to climate change, WIRes Clim. Change, 5, 375–388, 2014. a
Patt, A. and Lilliestam, J.: The case against carbon prices, Joule, 2, 2494–2498, 2018. a
Perrette, M., Landerer, F., Riva, R., Frieler, K., and Meinshausen, M.: A scaling approach to project regional sea level rise and its uncertainties, Earth Syst. Dynam., 4, 11–29, https://doi.org/10.5194/esd-4-11-2013, 2013. a
Pew Research Center: https://www.pewresearch.org/global/2015/06/23/spring-2015-survey/, last access: 14 April 2025.
Priestley, R. K., Heine, Z., and Milfont, T. L.: Public understanding of climate change-related sea-level rise, PLoS One, 16, e0254348, https://doi.org/10.1371/journal.pone.0254348, 2021. a
Quoß, F. and Rudolph, L.: Operationalisation matters: Weather extremes as noisy natural experiment show no influence on political attitudes, OSF [preprint], https://doi.org/10.1007/s10584-024-03842-y, 2022. a
Riahi, K., Krey, V., Rao, S., Chirkov, V., Fischer, G., Kolp, P., Kindermann, G., Nakicenovic, N., and Rafai, P.: RCP-8.5: Exploring the consequence of high emission trajectories, Climatic Change, 10, 33–57, https://doi.org/10.1007/s10584-011-0149-y, 2011. a
Rocha, J. C., Peterson, G., Bodin, Ö., and Levin, S.: Cascading regime shifts within and across scales, Science, 362, 1379–1383, 2018. a
Rockström, J., Gupta, J., Qin, D., Lade, S. J., Abrams, J. F., Andersen, L. S., McKay, D. I. A., Bai, X., Bala, G., Bunn, S. E., Ciobanu, D., DeClerck, F., Ebi, K., Gifford, L., Gordon, C., Hasan, S., Kanie, N., Lenton, T. M., Loriani, S., Liverman, D. M., Mohamed, A., Nakicenovic, N., Obura, D., Ospina, D., Prodani, K., Rammelt, C., Sakschewski, B., Scholtens, J., Stewart-Koster, B., Tharammal, T., van Vuuren, D., Verburg, P. H., Winkelmann, R., Zimm, C., Bennett, E. M., Bringezu, S., Broadgate, W., Green, P. A., Huang, L., Jacobson, L., Ndehedehe, C., Pedde, S., Rocha, J., Scheffer, M., Schulte-Uebbing, L., de Vries, W., Xiao, C., Xu, C., Xu, X., Zafra-Calvo, N., and Zhang, X.: Safe and just Earth system boundaries, Nature, 619, 102–111, https://doi.org/10.1038/s41586-023-06083-8, 2023. a
Schelling, T. C.: Dynamic models of segregation, J. Math. Sociol., 1, 143–186, 1971. a
Schill, C., Anderies, J. M., Lindahl, T., Folke, C., Polasky, S., Cárdenas, J. C., Crépin, A.-S., Janssen, M. A., Norberg, J., and Schlüter, M.: A more dynamic understanding of human behaviour for the Anthropocene, Nature Sustainability, 2, 1075–1082, 2019. a
Sharpe, S. and Lenton, T. M.: Upward-scaling tipping cascades to meet climate goals: plausible grounds for hope, Clim. Policy, 21, 421–433, https://doi.org/10.1080/14693062.2020.1870097, 2021. a
Singh, A. S., Zwickle, A., Bruskotter, J. T., and Wilson, R.: The perceived psychological distance of climate change impacts and its influence on support for adaptation policy, Environ. Sci. Policy, 73, 93–99, 2017. a
Singh, P., Sreenivasan, S., Szymanski, B. K., and Korniss, G.: Threshold-limited spreading in social networks with multiple initiators, Sci. Rep., 3, 1–7, 2013. a
Sisco, M. R.: The effects of weather experiences on climate change attitudes and behaviors, Curr. Opin. Env. Sust., 52, 111–117, 2021. a
Smith, E. K. and Mayer, A.: A social trap for the climate? Collective action, trust and climate change risk perception in 35 countries, Global Environ. Change, 49, 140–153, 2018. a
Smith, E. K. and Mayer, A.: Anomalous Anglophones? Contours of free market ideology, political polarization, and climate change attitudes in English-speaking countries, Western European and post-Communist states, Climatic Change, 152, 17–34, 2019. a
Smith, E. K., Eder, C., and Katsanidou, A.: On thinning ice: understanding the knowledge, concerns and behaviors towards polar ice loss in Germany, Polar Geography, 43, 243–258, https://doi.org/10.1080/1088937X.2020.1755904, 2020. a
Smith, E. K., Eder, C., Donges, J., Heitzig, J., Katsanidou, A., Wiedermann, M., and Winkelmann, R.: Domino Effects in the Earth System – The role of wanted social tipping points, OSF [preprint], https://doi.org/10.31219/osf.io/d8scb, 2022. a, b, c
Smith, S. R.: Enabling a political tipping point for rapid decarbonisation in the United Kingdom, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1674, 2023. a
Spence, A., Poortinga, W., and Pidgeon, N.: The Psychological Distance of Climate Change, Risk Anal., 32, 957–972, https://doi.org/10.1111/j.1539-6924.2011.01695.x, 2012. a, b
Stadelmann-Steffen, I., Eder, C., Harring, N., Spilker, G., and Katsanidou, A.: A framework for social tipping in climate change mitigation: What we can learn about social tipping dynamics from the chlorofluorocarbons phase-out, Energy Research & Social Science, 82, 102307, https://doi.org/10.1016/j.erss.2021.102307, 2021. a
State, B. and Adamic, L.: The diffusion of support in an online social movement: Evidence from the adoption of equal-sign profile pictures, in: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 1741–1750, https://doi.org/10.1145/2675133.2675290, 2015. a
Steffen, W., Rockström, J., Richardson, K., Lenton, T. M., Folke, C., Liverman, D., Summerhayes, C. P., Barnosky, A. D., Cornell, S. E., Crucifix, M., Donges, J. F., Fetzer, I., Lade, S. J., Scheffer, M., Winkelmann, R., and Schellnhuber, H. J.: Trajectories of the Earth System in the Anthropocene, P. Natl. Acad. Sci. USA, 115, 8252–8259, 2018. a
Steg, L. and Vlek, C.: Encouraging pro-environmental behaviour: An integrative review and research agenda, J. Environ. Psychol., 29, 309–317, 2009. a
Tebaldi, C., Strauss, B. H., and Zervas, C. E.: Modelling sea level rise impacts on storm surges along US coasts, Environ. Res. Lett., 7, 014032, https://doi.org/10.1088/1748-9326/7/1/014032, 2012. a
Thomas, M., Pidgeon, N., Whitmarsh, L., and Ballinger, R.: Mental models of sea-level change: A mixed methods analysis on the Severn Estuary, UK, Global Environ. Change, 33, 71–82, 2015. a
Tobler, C., Visschers, V. H., and Siegrist, M.: Addressing climate change: Determinants of consumers' willingness to act and to support policy measures, J. Environ. Psychol., 32, 197–207, 2012. a
Tonn, B., Hemrick, A., and Conrad, F.: Cognitive representations of the future: Survey results, Futures, 38, 810–829, 2006. a
Traag, V. A., Quax, R., and Sloot, P. M.: Modelling the distance impedance of protest attendance, Physica A, 468, 171–182, 2017. a
Van Ginkel, K. C., Botzen, W. W., Haasnoot, M., Bachner, G., Steininger, K. W., Hinkel, J., Watkiss, P., Boere, E., Jeuken, A., De Murieta, E. S., and and Bosello, F.: Climate change induced socio-economic tipping points: review and stakeholder consultation for policy relevant research, Environ. Res. Lett., 15, 023001, https://doi.org/10.1088/1748-9326/ab6395, 2020. a
Većkalov, B., Zarzeczna, N., Niehoff, E., McPhetres, J., and Rutjens, B. T.: A matter of time… consideration of future consequences and temporal distance contribute to the ideology gap in climate change scepticism, J. Environ. Psychol., 78, 101703, https://doi.org/10.1016/j.jenvp.2021.101703, 2021. a
Watts, D. J. and Strogatz, S. H.: Collective dynamics of “small-world” networks, Nature, 393, 440–442, https://doi.org/10.1038/30918, 1998. a
Weible, C. and Sabatier, P. A.: Theories of the Policy Process, Westview Press, New York, https://doi.org/10.4324/9780429494284, 2017. a
Winkelmann, R., Donges, J. F., Smith, E. K., Milkoreit, M., Eder, C., Heitzig, J., Katsanidou, A., Wiedermann, M., Wunderling, N., and Lenton, T. M.: Social tipping processes towards climate action: a conceptual framework, Ecol. Econ., 192, 107242, https://doi.org/10.1016/j.ecolecon.2021.107242, 2022. a, b, c, d, e, f, g, h
Wunderling, N., Donges, J. F., Kurths, J., and Winkelmann, R.: Interacting tipping elements increase risk of climate domino effects under global warming, Earth Syst. Dynam., 12, 601–619, https://doi.org/10.5194/esd-12-601-2021, 2021 a
Short summary
Social tipping dynamics have received recent attention as a potential mechanism for effective climate actions – yet how such tipping dynamics could unfold remains largely unquantified. We explore how social tipping processes can develop by enabling necessary conditions (exemplified by climate change concern) and increased perceptions of localized impacts (sea level rise). The likelihood of social tipping varies regionally, mostly along areas with the highest exposure to persistent risks.
Social tipping dynamics have received recent attention as a potential mechanism for effective...
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