Articles | Volume 16, issue 2
https://doi.org/10.5194/esd-16-379-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-16-379-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Mar 2025
Research article |
| 06 Mar 2025
| 06 Mar 2025
Impacts of North American forest cover changes on the North Atlantic Ocean circulation
Victoria M. Bauer
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
Sebastian Schemm
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
Raphael Portmann
Climate and Agriculture, Division of Agroecology and Environment, Agroscope Reckenholz, Zurich, Switzerland
present address: planval, Bern, Switzerland
Jingzhi Zhang
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
Gesa K. Eirund
Institute for Biogeochemistry and Pollutant Dynamics, ETH Zürich, Zurich, Switzerland
Steven J. De Hertog
Department of Water and Climate, Vrije Universiteit Brussel, Brussels, Belgium
Q-ForestLab, Department of Environment, Universiteit Gent, Ghent, Belgium
Jan Zibell
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
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EGUsphere, https://doi.org/10.5194/egusphere-2025-4917, https://doi.org/10.5194/egusphere-2025-4917, 2025
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Jan Zibell, Alejandro Hermoso, Aaron Donohoe, and Sebastian Schemm
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Suqi Guo, Felix Havermann, Steven J. De Hertog, Fei Luo, Iris Manola, Thomas Raddatz, Hongmei Li, Wim Thiery, Quentin Lejeune, Carl-Friedrich Schleussner, David Wårlind, Lars Nieradzik, and Julia Pongratz
Earth Syst. Dynam., 16, 631–666, https://doi.org/10.5194/esd-16-631-2025, https://doi.org/10.5194/esd-16-631-2025, 2025
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Alexander Pietak, Langwen Huang, Luigi Fusco, Michael Sprenger, Sebastian Schemm, and Torsten Hoefler
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Mona Bukenberger, Lena Fasnacht, Stefan Rüdisühli, and Sebastian Schemm
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Sabin I. Taranu, David M. Lawrence, Yoshihide Wada, Ting Tang, Erik Kluzek, Sam Rabin, Yi Yao, Steven J. De Hertog, Inne Vanderkelen, and Wim Thiery
Geosci. Model Dev., 17, 7365–7399, https://doi.org/10.5194/gmd-17-7365-2024, https://doi.org/10.5194/gmd-17-7365-2024, 2024
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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
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Sebastian Schemm and Matthias Röthlisberger
Weather Clim. Dynam., 5, 43–63, https://doi.org/10.5194/wcd-5-43-2024, https://doi.org/10.5194/wcd-5-43-2024, 2024
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Climate change has started to weaken atmospheric circulation during summer in the Northern Hemisphere. However, there is low agreement on the processes underlying changes in, for example, the stationarity of weather patterns or the seasonality of the jet response to warming. This study examines changes during summertime in an idealised setting and confirms some important changes in hemisphere-wide wave and jet characteristics under warming.
Shruti Nath, Lukas Gudmundsson, Jonas Schwaab, Gregory Duveiller, Steven J. De Hertog, Suqi Guo, Felix Havermann, Fei Luo, Iris Manola, Julia Pongratz, Sonia I. Seneviratne, Carl F. Schleussner, Wim Thiery, and Quentin Lejeune
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Tree cover changes play a significant role in climate mitigation and adaptation. Their regional impacts are key in informing national-level decisions and prioritising areas for conservation efforts. We present a first step towards exploring these regional impacts using a simple statistical device, i.e. emulator. The emulator only needs to train on climate model outputs representing the maximal impacts of aff-, re-, and deforestation, from which it explores plausible in-between outcomes itself.
Steven J. De Hertog, Felix Havermann, Inne Vanderkelen, Suqi Guo, Fei Luo, Iris Manola, Dim Coumou, Edouard L. Davin, Gregory Duveiller, Quentin Lejeune, Julia Pongratz, Carl-Friedrich Schleussner, Sonia I. Seneviratne, and Wim Thiery
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Land cover and land management changes are important strategies for future land-based mitigation. We investigate the climate effects of cropland expansion, afforestation, irrigation and wood harvesting using three Earth system models. Results show that these have important implications for surface temperature where the land cover and/or management change occur and in remote areas. Idealized afforestation causes global warming, which might offset the cooling effect from enhanced carbon uptake.
Steven J. De Hertog, Carmen E. Lopez-Fabara, Ruud van der Ent, Jessica Keune, Diego G. Miralles, Raphael Portmann, Sebastian Schemm, Felix Havermann, Suqi Guo, Fei Luo, Iris Manola, Quentin Lejeune, Julia Pongratz, Carl-Friedrich Schleussner, Sonia I. Seneviratne, and Wim Thiery
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Preprint archived
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Land cover and management changes can affect the climate and water availability. In this study we use climate model simulations of extreme global land cover changes (afforestation, deforestation) and land management changes (irrigation) to understand the effects on the global water cycle and local to continental water availability. We show that cropland expansion generally leads to higher evaporation and lower amounts of precipitation and afforestation and irrigation expansion to the opposite.
Steven J. De Hertog, Felix Havermann, Inne Vanderkelen, Suqi Guo, Fei Luo, Iris Manola, Dim Coumou, Edouard L. Davin, Gregory Duveiller, Quentin Lejeune, Julia Pongratz, Carl-Friedrich Schleussner, Sonia I. Seneviratne, and Wim Thiery
Earth Syst. Dynam., 13, 1305–1350, https://doi.org/10.5194/esd-13-1305-2022, https://doi.org/10.5194/esd-13-1305-2022, 2022
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Land cover and land management changes are important strategies for future land-based mitigation. We investigate the climate effects of cropland expansion, afforestation, irrigation, and wood harvesting using three Earth system models. Results show that these have important implications for surface temperature where the land cover and/or management change occurs and in remote areas. Idealized afforestation causes global warming, which might offset the cooling effect from enhanced carbon uptake.
Sebastian Schemm, Lukas Papritz, and Gwendal Rivière
Weather Clim. Dynam., 3, 601–623, https://doi.org/10.5194/wcd-3-601-2022, https://doi.org/10.5194/wcd-3-601-2022, 2022
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Much of the change in our daily weather patterns is due to the development and intensification of extratropical cyclones. The response of these systems to climate change is an important topic of ongoing research. This study is the first to reproduce the changes in the North Atlantic circulation and extratropical cyclone characteristics found in fully coupled Earth system models under high-CO2 scenarios, but in an idealized, reduced-complexity simulation with uniform warming.
Philippe Besson, Luise J. Fischer, Sebastian Schemm, and Michael Sprenger
Weather Clim. Dynam., 2, 991–1009, https://doi.org/10.5194/wcd-2-991-2021, https://doi.org/10.5194/wcd-2-991-2021, 2021
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The strongest cyclone intensification is associated with a strong dry-dynamical forcing. Moreover, strong forcing and strong intensification correspond to a tendency for poleward cyclone propagation, which occurs in distinct regions in the Northern Hemisphere. There is a clear spatial pattern in the occurrence of certain forcing combinations. This implies a fundamental relationship between dry-dynamical processes and the intensification as well as the propagation of extratropical cyclones.
Gabriel Vollenweider, Elisa Spreitzer, and Sebastian Schemm
Weather Clim. Dynam. Discuss., https://doi.org/10.5194/wcd-2021-31, https://doi.org/10.5194/wcd-2021-31, 2021
Publication in WCD not foreseen
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The interactions between the dry and moist components of the atmosphere and the influence of, for example, the phase transition of water on the atmospheric circulation are often studied from the potential vorticity (PV) framework. Changes in the PV due to, for example, condensation can relate to changes in the static stability or vorticity. To better the interaction between these two drivers of PV changes, we explore the usefulness of a novel vorticity-and-stability diagram.
Sebastian Schemm, Heini Wernli, and Hanin Binder
Weather Clim. Dynam., 2, 55–69, https://doi.org/10.5194/wcd-2-55-2021, https://doi.org/10.5194/wcd-2-55-2021, 2021
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North Pacific cyclone intensities are reduced in winter, which is in contrast to North Atlantic cyclones and unexpected from the high available growth potential in winter. We investigate this intensity suppression from a cyclone life-cycle perspective and show that in winter Kuroshio cyclones propagate away from the region where they can grow more quickly, East China Sea cyclones are not relevant before spring, and Kamchatka cyclones grow in a region of reduced growth potential.
Cited articles
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
Asselin, O., Leduc, M., Paquin, D., Di Luca, A., Winger, K., Bukovsky, M., Music, B., and Giguère, M.: On the Intercontinental Transferability of Regional Climate Model Response to Severe Forestation, Climate, 10, 138, https://doi.org/10.3390/CLI10100138, 2022. a, b
Bastin, J. F., Finegold, Y., Garcia, C., Mollicone, D., Rezende, M., Routh, D., Zohner, C. M., and Crowther, T. W.: The global tree restoration potential, Science, 364, 76–79, https://doi.org/10.1126/SCIENCE.AAX0848, 2019. a, b
Bauer, V.: Impacts of North American forest cover changes on the North Atlantic ocean circulation, ETH Zürich [data set], https://doi.org/10.3929/ethz-b-000713483, 2025. a
Bauer, V. M., Zibell, J., Zhang, J., Portmann, R., Eirund, G. K., De Hertog, S. J., and Schemm, S.: Impacts of North American forest cover changes on the North Atlantic ocean circulation, Zenodo [code], https://doi.org/10.5281/zenodo.12665426, 2025. a
Betts, R. A.: Offset of the potential carbon sink from boreal forestation by decreases in surface albedo, Nature, 408, 187–190, https://doi.org/10.1038/35041545, 2000. a, b, c
Bhagtani, D., Hogg, A. M., Holmes, R. M., and Constantinou, N. C.: Surface Heating Steers Planetary-Scale Ocean Circulation, J. Phys. Oceanogr., 53, 2375–2391, https://doi.org/10.1175/JPO-D-23-0016.1, 2023. a
Bonan, G. B.: Forests and climate change: Forcings, feedbacks, and the climate benefits of forests, Science, 320, 1444–1449, https://doi.org/10.1126/SCIENCE.1155121, 2008. a, b
Böning, C. W., Wagner, P., Handmann, P., Schwarzkopf, F. U., Getzlaff, K., and Biastoch, A.: Decadal changes in Atlantic overturning due to the excessive 1990s Labrador Sea convection, Nat. Commun., 14, 4635, https://doi.org/10.1038/s41467-023-40323-9, 2023. a, b
Born, A., Stocker, T. F., and Sandø, A. B.: Transport of salt and freshwater in the Atlantic Subpolar Gyre, Ocean Dynam., 66, 1051–1064, https://doi.org/10.1007/s10236-016-0970-y, 2016. a, b
Boysen, L. R., Brovkin, V., Pongratz, J., Lawrence, D. M., Lawrence, P., Vuichard, N., Peylin, P., Liddicoat, S., Hajima, T., Zhang, Y., Rocher, M., Delire, C., Séférian, R., Arora, V. K., Nieradzik, L., Anthoni, P., Thiery, W., Laguë, M. M., Lawrence, D., and Lo, M.-H.: Global climate response to idealized deforestation in CMIP6 models, Biogeosciences, 17, 5615–5638, https://doi.org/10.5194/bg-17-5615-2020, 2020. a, b, c
Caesar, L., Rahmstorf, S., Robinson, A., Feulner, G., and Saba, V.: Observed fingerprint of a weakening Atlantic Ocean overturning circulation, Nature, 556, 191–196, https://doi.org/10.1038/s41586-018-0006-5, 2018. a, b
Chen, G., Huang, R. X., Peng, Q., and Chu, X.: A Time-Dependent Sverdrup Relation and Its Application to the Indian Ocean, J. Phys. Oceanogr., 52, 1233–1244, https://doi.org/10.1175/JPO-D-21-0223.1, 2022. a
Curtis, P. E. and Fedorov, A. V.: Collapse and slow recovery of the Atlantic Meridional Overturning Circulation (AMOC) under abrupt greenhouse gas forcing, Clim. Dynam., 62, 5949–5970, https://doi.org/10.1007/S00382-024-07185-3, 2024. a
Danabasoglu, G., Lamarque, J. F., Bacmeister, J., Bailey, D. A., DuVivier, A. K., Edwards, J., Emmons, L. K., Fasullo, J., Garcia, R., Gettelman, A., Hannay, C., Holland, M. M., Large, W. G., Lauritzen, P. H., Lawrence, D. M., Lenaerts, J. T., Lindsay, K., Lipscomb, W. H., Mills, M. J., Neale, R., Oleson, K. W., Otto-Bliesner, B., Phillips, A. S., Sacks, W., Tilmes, S., van Kampenhout, L., Vertenstein, M., Bertini, A., Dennis, J., Deser, C., Fischer, C., Fox-Kemper, B., Kay, J. E., Kinnison, D., Kushner, P. J., Larson, V. E., Long, M. C., Mickelson, S., Moore, J. K., Nienhouse, E., Polvani, L., Rasch, P. J., and Strand, W. G.: The Community Earth System Model Version 2 (CESM2), J. Adv. Model. Earth Sy., 12, e2019MS001916, https://doi.org/10.1029/2019MS001916, 2020a. a, b
Danabasoglu, G., Lamarque, J. F., Bacmeister, J., Bailey, D. A., DuVivier, A. K., Edwards, J., Emmons, L. K., Fasullo, J., Garcia, R., Gettelman, A., Hannay, C., Holland, M. M., Large, W. G., Lauritzen, P. H., Lawrence, D. M., Lenaerts, J. T., Lindsay, K., Lipscomb, W. H., Mills, M. J., Neale, R., Oleson, K. W., Otto-Bliesner, B., Phillips, A. S., Sacks, W., Tilmes, S., van Kampenhout, L., Vertenstein, M., Bertini, A., Dennis, J., Deser, C., Fischer, C., Fox-Kemper, B., Kay, J. E., Kinnison, D., Kushner, P. J., Larson, V. E., Long, M. C., Mickelson, S., Moore, J. K., Nienhouse, E., Polvani, L., Rasch, P. J., and Strand, W. G.: CESM-release-cesm2.1.2 (release-cesm2.1.2), Zenodo [code], https://doi.org/10.5281/zenodo.3895328, 2020b. a
Davin, E. L. and de Noblet-Ducoudre, N.: Climatic Impact of Global-Scale Deforestation: Radiative versus Nonradiative Processes, J. Climate, 23, 97–112, https://doi.org/10.1175/2009JCLI3102.1, 2010. a, b, c, d
Davin, E. L., Rechid, D., Breil, M., Cardoso, R. M., Coppola, E., Hoffmann, P., Jach, L. L., Katragkou, E., De Noblet-Ducoudré, N., Radtke, K., Raffa, M., Soares, P. M., Sofiadis, G., Strada, S., Strandberg, G., Tölle, M. H., Warrach-Sagi, K., and Wulfmeyer, V.: Biogeophysical impacts of forestation in Europe: First results from the LUCAS (Land Use and Climate across Scales) regional climate model intercomparison, Earth System Dynamics, 11, 183–200, https://doi.org/10.5194/ESD-11-183-2020, 2020. a, b, c
De Hertog, S. J., Havermann, F., Vanderkelen, I., Guo, S., Luo, F., Manola, I., Coumou, D., Davin, E. L., Duveiller, G., Lejeune, Q., Pongratz, J., Schleussner, C.-F., Seneviratne, S. I., and Thiery, W.: The biogeophysical effects of idealized land cover and land management changes in Earth system models, Earth Syst. Dynam., 14, 629–667, https://doi.org/10.5194/esd-14-629-2023, 2023. a, b, c, d, e
De Hertog, S. J., Lopez-Fabara, C. E., van der Ent, R., Keune, J., Miralles, D. G., Portmann, R., Schemm, S., Havermann, F., Guo, S., Luo, F., Manola, I., Lejeune, Q., Pongratz, J., Schleussner, C.-F., Seneviratne, S. I., and Thiery, W.: Effects of idealized land cover and land management changes on the atmospheric water cycle, Earth Syst. Dynam., 15, 265–291, https://doi.org/10.5194/esd-15-265-2024, 2024. a
Ditlevsen, P. and Ditlevsen, S.: Warning of a forthcoming collapse of the Atlantic meridional overturning circulation, Nat. Commun., 14, 4254, https://doi.org/10.1038/S41467-023-39810-W, 2023. a
Drijfhout, S., van Oldenborgh, G. J., and Cimatoribus, A.: Is a Decline of AMOC Causing the Warming Hole above the North Atlantic in Observed and Modeled Warming Patterns?, J. Climate, 25, 8373–8379, https://doi.org/10.1175/JCLI-D-12-00490.1, 2012. a
Fan, Y., Lu, J., and Li, L.: Mechanism of the Centennial Subpolar North Atlantic Cooling Trend in the FGOALS‐g2 Historical Simulation, J. Geophys. Res.-Oceans, 126, e2021JC017511, https://doi.org/10.1029/2021JC017511, 2021. a
Garcia-Quintana, Y., Courtois, P., Hu, X., Pennelly, C., Kieke, D., and Myers, P. G.: Sensitivity of Labrador Sea Water Formation to Changes in Model Resolution, Atmospheric Forcing, and Freshwater Input, J. Geophys. Res.-Oceans, 124, 2126–2152, https://doi.org/10.1029/2018JC014459, 2019. a, b, c
Gelderloos, R., Straneo, F., and Katsman, C. A.: Mechanisms behind the Temporary Shutdown of Deep Convection in the Labrador Sea: Lessons from the Great Salinity Anomaly Years 1968–71, J. Climate, 25, 6743–6755, https://doi.org/10.1175/JCLI-D-11-00549.1, 2012. a, b, c
Gervais, M., Shaman, J., and Kushnir, Y.: Impacts of the North Atlantic Warming Hole in Future Climate Projections: Mean Atmospheric Circulation and the North Atlantic Jet, J. Climate, 32, 2673–2689, https://doi.org/10.1175/JCLI-D-18-0647.1, 2019. a
Ghosh, R., Putrasahan, D., Manzini, E., Lohmann, K., Keil, P., Hand, R., Bader, J., Matei, D., and Jungclaus, J. H.: Two Distinct Phases of North Atlantic Eastern Subpolar Gyre and Warming Hole Evolution under Global Warming, J. Climate, 36, 1881–1894, https://doi.org/10.1175/JCLI-D-22-0222.1, 2023. a, b, c
Griscom, B. W., Adams, J., Ellis, P. W., Houghton, R. A., Lomax, G., Miteva, D. A., Schlesinger, W. H., Shoch, D., Siikamäki, J. V., Smith, P., Woodbury, P., Zganjar, C., Blackman, A., Campari, J., Conant, R. T., Delgado, C., Elias, P., Gopalakrishna, T., Hamsik, M. R., Herrero, M., Kiesecker, J., Landis, E., Laestadius, L., Leavitt, S. M., Minnemeyer, S., Polasky, S., Potapov, P., Putz, F. E., Sanderman, J., Silvius, M., Wollenberg, E., and Fargione, J.: Natural climate solutions, P. Natl. Acad. Sci. USA, 114, 11645–11650, https://doi.org/10.1073/PNAS.1710465114, 2017. a
Hansen, J., Ruedy, R., Glascoe, J., and Sato, M.: GISS analysis of surface temperature change, J. Geophys. Res.-Atmos., 104, 30997–31022, https://doi.org/10.1029/1999JD900835, 1999. a
Haskins, R. K., Oliver, K. I., Jackson, L. C., Drijfhout, S. S., and Wood, R. A.: Explaining asymmetry between weakening and recovery of the AMOC in a coupled climate model, Clim. Dynam., 53, 67–79, https://doi.org/10.1007/S00382-018-4570-Z, 2019. a
He, C., Clement, A. C., Cane, M. A., Murphy, L. N., Klavans, J. M., and Fenske, T. M.: A North Atlantic Warming Hole Without Ocean Circulation, Geophys. Res. Lett., 49, e2022GL100420, https://doi.org/10.1029/2022GL100420, 2022. a, b, c
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J. N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/QJ.3803, 2020. a
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 monthly averaged data on single levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS), [data set], https://doi.org/10.24381/cds.f17050d7, 2023. a, b
Hogan, E. and Sriver, R. L.: The Effect of Internal Variability on Ocean Temperature Adjustment in a Low-Resolution CESM Initial Condition Ensemble, J. Geophys. Res.-Oceans, 124, 1063–1073, https://doi.org/10.1029/2018JC014535, 2019. a
Hogg, A. M. C. and Gayen, B.: Ocean Gyres Driven by Surface Buoyancy Forcing, Geophys. Res. Lett., 47, e2020GL088539, https://doi.org/10.1029/2020GL088539, 2020. a
Holdsworth, A. M. and Myers, P. G.: The Influence of High-Frequency Atmospheric Forcing on the Circulation and Deep Convection of the Labrador Sea, J. Climate, 28, 4980–4996, https://doi.org/10.1175/JCLI-D-14-00564.1, 2015. a, b, c, d
Hua, W., Zhou, L., Dai, A., Chen, H., and Liu, Y.: Important non-local effects of deforestation on cloud cover changes in CMIP6 models, Environ. Res. Lett., 18, 094047, https://doi.org/10.1088/1748-9326/ACF232, 2023. a, b
IOC, SCOR, and IAPSO: The international thermodynamic equation of seawater – 2010: Calculation and use of thermodynamic properties Intergovernmental Oceanographic Commission. Intergovernmental Oceanographic Commission, Manuals and Guides No. 56, Tech. rep., UNSECO (English), https://unesdoc.unesco.org/ark:/48223/pf0000188170 (last access: 24 February 2025), 2010. a
Jackson, L. C., Roberts, M. J., Hewitt, H. T., Iovino, D., Koenigk, T., Meccia, V. L., Roberts, C. D., Ruprich-Robert, Y., and Wood, R. A.: Impact of ocean resolution and mean state on the rate of AMOC weakening, Clim. Dynam., 55, 1711–1732, https://doi.org/10.1007/s00382-020-05345-9, 2020. a
Jackson, L. C., Alastrué de Asenjo, E., Bellomo, K., Danabasoglu, G., Haak, H., Hu, A., Jungclaus, J., Lee, W., Meccia, V. L., Saenko, O., Shao, A., and Swingedouw, D.: Understanding AMOC stability: the North Atlantic Hosing Model Intercomparison Project, Geosci. Model Dev., 16, 1975–1995, https://doi.org/10.5194/gmd-16-1975-2023, 2023. a
Jayakrishnan, K. U. and Bala, G.: A comparison of the climate and carbon cycle effects of carbon removal by afforestation and an equivalent reduction in fossil fuel emissions, Biogeosciences, 20, 1863–1877, https://doi.org/10.5194/bg-20-1863-2023, 2023. a, b, c
Jiao, T., Williams, C. A., Ghimire, B., Masek, J., Gao, F., and Schaaf, C.: Global climate forcing from albedo change caused by large-scale deforestation and reforestation: Quantification and attribution of geographic variation, Climatic Change, 142, 463–476, https://doi.org/10.1007/s10584-017-1962-8, 2017. a, b
Kim, W. M., Ruprich-Robert, Y., Zhao, A., Yeager, S., and Robson, J.: North Atlantic Response to Observed North Atlantic Oscillation Surface Heat Flux in Three Climate Models, J. Climate, 37, 1777–1796, https://doi.org/10.1175/JCLI-D-23-0301.1, 2024. a
Kostov, Y., Messias, M.-J., Mercier, H., Marshall, D. P., and Johnson, H. L.: Surface factors controlling the volume of accumulated Labrador Sea Water, Ocean Sci., 20, 521–547, https://doi.org/10.5194/os-20-521-2024, 2024. a, b
Kuhlbrodt, T., Titz, S., Feudel, U., and Rahmstorf, S.: A simple model of seasonal open ocean convection – Part II: Labrador Sea stability and stochastic forcing, Ocean Dynam., 52, 36–49, https://doi.org/10.1007/s10236-001-8175-3, 2001. a
Li, Y., Zhao, M., Motesharrei, S., Mu, Q., Kalnay, E., and Li, S.: Local cooling and warming effects of forests based on satellite observations, Nat. Commun., 6, 6603, https://doi.org/10.1038/ncomms7603, 2015. a
Liu, T., Ou, H. W., Liu, X., Qian, Y. K., and Chen, D.: The dependence of upper ocean gyres on wind and buoyancy forcing, Geosci. Lett., 9, 2, https://doi.org/10.1186/S40562-022-00213-2, 2022. a
Liu, W., Fedorov, A., and Sévellec, F.: The Mechanisms of the Atlantic Meridional Overturning Circulation Slowdown Induced by Arctic Sea Ice Decline, J. Climate, 32, 977–996, https://doi.org/10.1175/JCLI-D-18-0231.1, 2019. a, b, c, d
Lohmann, K., Putrasahan, D. A., von Storch, J. S., Gutjahr, O., Jungclaus, J. H., and Haak, H.: Response of Northern North Atlantic and Atlantic Meridional Overturning Circulation to Reduced and Enhanced Wind Stress Forcing, J. Geophys. Res.-Oceans, 126, e2021JC017902, https://doi.org/10.1029/2021JC017902, 2021. a, b, c, d, e, f, g, h, i
Luo, H., Bracco, A., and Zhang, F.: The Seasonality of Convective Events in the Labrador Sea, J. Climate, 27, 6456–6471, https://doi.org/10.1175/JCLI-D-14-00009.1, 2014. a
Mahmood, R., Pielke, R. A., Hubbard, K. G., Niyogi, D., Dirmeyer, P. A., Mcalpine, C., Carleton, A. M., Hale, R., Gameda, S., Beltrán-Przekurat, A., Baker, B., Mcnider, R., Legates, D. R., Shepherd, M., Du, J., Blanken, P. D., Frauenfeld, O. W., Nair, U. S., and Fall, S.: Land cover changes and their biogeophysical effects on climate, Int. J. Climatol., 34, 929–953, https://doi.org/10.1002/joc.3736, 2014. a
Martin, T., Biastoch, A., Lohmann, G., Mikolajewicz, U., and Wang, X.: On Timescales and Reversibility of the Ocean's Response to Enhanced Greenland Ice Sheet Melting in Comprehensive Climate Models, Geophys. Res. Lett., 49, e2021GL097114, https://doi.org/10.1029/2021GL097114, 2022. a, b
McDougall, T. J. and Barker, P. M.: Getting started with TEOS-10 and the Gibbs Seawater (GSW) Oceanographic Toolbox, SCOR/IAPSO WG127, ISBN 978-0-646-55621-5, 2011. a
Menary, M. B. and Wood, R. A.: An anatomy of the projected North Atlantic warming hole in CMIP5 models, Clim. Dynam., 50, 3063–3080, https://doi.org/10.1007/s00382-017-3793-8, 2018. a, b, c
Mo, L., Zohner, C. M., Reich, P. B., Liang, J., de Miguel, S., Nabuurs, G.-J., Renner, S. S., van den Hoogen, J., Araza, A., Herold, M., Mirzagholi, L., Ma, H., Averill, C., Phillips, O. L., Gamarra, J. G. P., Hordijk, I., Routh, D., Abegg, M., Adou Yao, Y. C., Alberti, G., Almeyda Zambrano, A. M., Alvarado, B. V., Alvarez-Dávila, E., Alvarez-Loayza, P., Alves, L. F., Amaral, I., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G. A., Baker, T. R., Bałazy, R., Banki, O., Barroso, J. G., Bastian, M. L., Bastin, J.-F., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P. H. S., Brandl, S., Brearley, F. Q., Brienen, R., Broadbent, E. N., Bruelheide, H., Bussotti, F., Cazzolla Gatti, R., César, R. G., Cesljar, G., Chazdon, R. L., Chen, H. Y. H., Chisholm, C., Cho, H., Cienciala, E., Clark, C., Clark, D., Colletta, G. D., Coomes, D. A., Cornejo Valverde, F., Corral-Rivas, J. J., Crim, P. M., Cumming, J. R., Dayanandan, S., de Gasper, A. L., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Dolezal, J., Dourdain, A., Engone Obiang, N. L., Enquist, B. J., Eyre, T. J., Fandohan, A. B., Fayle, T. M., Feldpausch, T. R., Ferreira, L. V., Finér, L., Fischer, M., Fletcher, C., Frizzera, L., Gianelle, D., Glick, H. B., Harris, D. J., Hector, A., Hemp, A., Hengeveld, G., Hérault, B., Herbohn, J. L., Hillers, A., Honorio Coronado, E. N., Hui, C., Ibanez, T., Imai, N., Jagodziński, A. M., Jaroszewicz, B., Johannsen, V. K., Joly, C. A., Jucker, T., Jung, I., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D. K., Kepfer-Rojas, S., Keppel, G., Khan, M. L., Killeen, T. J., Kim, H. S., Kitayama, K., Köhl, M., Korjus, H., Kraxner, F., Kucher, D., Laarmann, D., Lang, M., Lu, H., Lukina, N. V., Maitner, B. S., Malhi, Y., Marcon, E., Marimon, B. S., Marimon-Junior, B. H., Marshall, A. R., Martin, E. H., Meave, J. A., Melo-Cruz, O., Mendoza, C., Mendoza-Polo, I., Miscicki, S., Merow, C., Monteagudo Mendoza, A., Moreno, V. S., Mukul, S. A., Mundhenk, P., Nava-Miranda, M. G., Neill, D., Neldner, V. J., Nevenic, R. V., Ngugi, M. R., Niklaus, P. A., Oleksyn, J., Ontikov, P., Ortiz-Malavasi, E., Pan, Y., Paquette, A., Parada-Gutierrez, A., Parfenova, E. I., Park, M., Parren, M., Parthasarathy, N., Peri, P. L., Pfautsch, S., Picard, N., Piedade, M. T. F., Piotto, D., Pitman, N. C. A., Poulsen, A. D., Poulsen, J. R., Pretzsch, H., Ramirez Arevalo, F., Restrepo-Correa, Z., Rodeghiero, M., Rolim, S. G., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Salas-Eljatib, C., Saner, P., Schall, P., Schelhaas, M.-J., Schepaschenko, D., Scherer-Lorenzen, M., Schmid, B., Schöngart, J., Searle, E. B., Seben, V., Serra-Diaz, J. M., Sheil, D., Shvidenko, A. Z., Silva-Espejo, J. E., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A. F., Stereńczak, K. J., Svenning, J.-C., Svoboda, M., Swanepoel, B., Targhetta, N., Tchebakova, N., ter Steege, H., Thomas, R., Tikhonova, E., Umunay, P. M., Usoltsev, V. A., Valencia, R., Valladares, F., van der Plas, F., Van Do, T., van Nuland, M. E., Vasquez, R. M., Verbeeck, H., Viana, H., Vibrans, A. C., Vieira, S., von Gadow, K., Wang, H.-F., Watson, J. V., Werner, G. D. A., Wiser, S. K., Wittmann, F., Woell, H., Wortel, V., Zagt, R., Zawiła-Niedźwiecki, T., Zhang, C., Zhao, X., Zhou, M., Zhu, Z.-X., Zo-Bi, I. C., Gann, G. D., and Crowther, T. W.: Integrated global assessment of the natural forest carbon potential, Nature, 624, 92–101, https://doi.org/10.1038/s41586-023-06723-z, 2023. a, b, c
Oldenburg, D., Wills, R. C., Armour, K. C., and Thompson, L. A.: Resolution Dependence of Atmosphere–Ocean Interactions and Water Mass Transformation in the North Atlantic, J. Geophys. Res.-Oceans, 127, e2021JC018102, https://doi.org/10.1029/2021JC018102, 2022. a
Papritz, L. and Grams, C. M.: Linking Low‐Frequency Large‐Scale Circulation Patterns to Cold Air Outbreak Formation in the Northeastern North Atlantic, Geophys. Res. Lett., 45, 2542–2553, https://doi.org/10.1002/2017GL076921, 2018. a, b
Papritz, L. and Spengler, T.: A Lagrangian Climatology of Wintertime Cold Air Outbreaks in the Irminger and Nordic Seas and Their Role in Shaping Air–Sea Heat Fluxes, J. Climate, 30, 2717–2737, https://doi.org/10.1175/JCLI-D-16-0605.1, 2017. a, b, c, d
Papritz, L., Pfahl, S., Sodemann, H., and Wernli, H.: A Climatology of Cold Air Outbreaks and Their Impact on Air–Sea Heat Fluxes in the High-Latitude South Pacific, J. Climate, 28, 342–364, https://doi.org/10.1175/JCLI-D-14-00482.1, 2015. a, b
Parzen, E.: On Estimation of a Probability Density Function and Mode, Ann. Math. Stat., 33, 1065–1076, https://doi.org/10.1214/AOMS/1177704472, 1962. a, b
Pellichero, V., Sallée, J.-B., Chapman, C. C., and Downes, S. M.: The southern ocean meridional overturning in the sea-ice sector is driven by freshwater fluxes, Nat. Commun., 9, 1789, https://doi.org/10.1038/s41467-018-04101-2, 2018. a
Pickart, R. S., Spall, M. A., Ribergaard, M. H., Moore, G. W., 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
Portmann, R., Beyerle, U., Davin, E., Fischer, E. M., De Hertog, S., and Schemm, S.: Global forestation and deforestation affect remote climate via adjusted atmosphere and ocean circulation, Nat. Commun., 13, 5569, https://doi.org/10.1038/s41467-022-33279-9, 2022. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u, v
Putrasahan, D. A., Lohmann, K., von Storch, J., Jungclaus, J. H., Gutjahr, O., and Haak, H.: 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, c, d
Rahmstorf, S.: Ocean circulation and climate during the past 120,000 years, Nature, 419, 207–214, https://doi.org/10.1038/nature01090, 2002. a
Rahmstorf, S.: Is the Atlantic Overturning Circulation Approaching a Tipping Point?, Oceanography, 37, 16–29, https://doi.org/10.5670/OCEANOG.2024.501, 2024. a, b, c
Renfrew, I. A., Huang, J., Semper, S., Barrell, C., Terpstra, A., Pickart, R. S., Våge, K., Elvidge, A. D., Spengler, T., Strehl, A., and Weiss, A.: Coupled atmosphere–ocean observations of a cold‐air outbreak and its impact on the Iceland Sea, Q. J. Roy. Meteorol. Soc., 149, 472–493, https://doi.org/10.1002/qj.4418, 2023. a
Renssen, H., Goosse, H., and Fichefet, T.: On the non‐linear response of the ocean thermohaline circulation to global deforestation, Geophys. Res. Letters, 30, 1061, https://doi.org/10.1029/2002GL016155, 2003. a, b, c
Rohatyn, S., Yakir, D., Rotenberg, E., and Carmel, Y.: Limited climate change mitigation potential through forestation of the vast dryland regions, Science, 377, 1436–1439, https://doi.org/10.1126/science.abm9684, 2022. a, b
Schemm, S.: Regional Trends in Weather Systems Help Explain Antarctic Sea Ice Trends, Geophys. Res. Lett., 45, 7165–7175, https://doi.org/10.1029/2018GL079109, 2018. a
Schemm, S., Ciasto, L. M., Li, C., and Kvamstø, N. G.: Influence of Tropical Pacific Sea Surface Temperature on the Genesis of Gulf Stream Cyclones, J. Atmos. Sci., 73, 4203–4214, https://doi.org/10.1175/JAS-D-16-0072.1, 2016. a
Snyder, P. K.: The influence of tropical deforestation on the Northern Hemisphere climate by atmospheric teleconnections, Earth Interact., 14, 1–34, https://doi.org/10.1175/2010EI280.1, 2010. a
Snyder, P. K., Delire, C., and Foley, J. A.: Evaluating the influence of different vegetation biomes on the global climate, Clim. Dynam., 23, 279–302, https://doi.org/10.1007/S00382-004-0430-0, 2004. a, b
Sprenger, M. and Wernli, H.: The LAGRANTO Lagrangian analysis tool – version 2.0, Geosci. Model Dev., 8, 2569–2586, https://doi.org/10.5194/gmd-8-2569-2015, 2015. a
Stolpe, M. B., Medhaug, I., Sedláček, J., and Knutti, R.: Multidecadal Variability in Global Surface Temperatures Related to the Atlantic Meridional Overturning Circulation, J. Climate, 31, 2889–2906, https://doi.org/10.1175/JCLI-D-17-0444.1, 2018. a
Suckow, M. A., Weisbroth, S. H., and Franklin, C. L.: Chapter 4 – Density and pressure in the oceans, in: Seawater, Butterworth-Heinemann, Oxford, second edition edn., 39–60, ISBN 978-0-7506-3715-2, https://doi.org/10.1016/B978-075063715-2/50005-8, 1995. a, b
Sverdrup, H. U.: Wind-Driven Currents in a Baroclinic Ocean; with Application to the Equatorial Currents of the Eastern Pacific, P. Natl. Acad. Sci. USA, 33, 318–326, https://doi.org/10.1073/pnas.33.11.318, 1947. a
Svingen, K., Brakstad, A., Våge, K., von Appen, W.-J., and Papritz, L.: The Impact of Cold-Air Outbreaks and Oceanic Lateral Fluxes on Dense-Water Formation in the Greenland Sea from a 10-Year Moored Record (1999–2009), J. Phys. Oceanogr., 53, 1499–1517, https://doi.org/10.1175/JPO-D-22-0160.1, 2023. a, b, c, d, e
Swann, A. L. S., Fung, I. Y., and Chiang, J. C. H.: Mid-latitude afforestation shifts general circulation and tropical precipitation, P. Natl. Acad. Sci. USA, 109, 712–716, https://doi.org/10.1073/pnas.1116706108, 2012. a
van Westen, R. M. and Dijkstra, H. A.: Asymmetry of AMOC Hysteresis in a State-Of-The-Art Global Climate Model, Geophys. Res. Lett., 50, e2023GL106088, https://doi.org/10.1029/2023GL106088, 2023. a, b, c
van Westen, R. M. and Dijkstra, H. A.: Persistent climate model biases in the Atlantic Ocean's freshwater transport, Ocean Sci., 20, 549–567, https://doi.org/10.5194/os-20-549-2024, 2024. a
van Westen, R. M. v., Kliphuis, M., and Dijkstra, H. A.: Physics-based early warning signal shows that AMOC is on tipping course, Science Advances, 10, eadk1189, https://doi.org/10.1126/SCIADV.ADK1189, 2024. a, b, c
Wang, Y., Yan, X., and Wang, Z.: The biogeophysical effects of extreme afforestation in modeling future climate, Theor. Appl. Climatol., 118, 511–521, https://doi.org/10.1007/s00704-013-1085-8, 2014. a, b, c
Weber, J., King, J. A., Abraham, N. L., Grosvenor, D. P., Smith, C. J., Shin, Y. M., Lawrence, P., Roe, S., Beerling, D. J., and Martin, M. V.: Chemistry-albedo feedbacks offset up to a third of forestation’s CO2 removal benefits, Science, 383, 860–864, https://doi.org/10.1126/SCIENCE.ADG6196, 2024. a
Wilks, D. S.: Statistical Methods in the Atmospheric Sciences, vol. 100, Academic Press, 3 edn., ISBN 9780123850225, 2011. a
Wilks, D. S.: “The Stippling Shows Statistically Significant Grid Points”: How Research Results are Routinely Overstated and Overinterpreted, and What to Do about It, B. Am. Meteorol. Soc., 97, 2263–2273, https://doi.org/10.1175/BAMS-D-15-00267.1, 2016. a
Winckler, J., Lejeune, Q., Reick, C. H., and Pongratz, J.: Nonlocal Effects Dominate the Global Mean Surface Temperature Response to the Biogeophysical Effects of Deforestation, Geophys. Res. Lett., 46, 745–755, https://doi.org/10.1029/2018GL080211, 2019. a, b
Windisch, M. G., Davin, E. L., and Seneviratne, S. I.: Prioritizing forestation based on biogeochemical and local biogeophysical impacts, Nat. Clim. Change, 11, 867–871, https://doi.org/10.1038/s41558-021-01161-z, 2021. a
Wunsch, C. and Roemmich, D.: Is the North Atlantic in Sverdrup Balance?, J. Phys. Oceanogr., 15, 1876–1880, https://doi.org/10.1175/1520-0485(1985)015<1876:ITNAIS>2.0.CO;2, 1985. a
Yeager, S.: Topographic Coupling of the Atlantic Overturning and Gyre Circulations, J. Phys. Oceanogr., 45, 1258–1284, https://doi.org/10.1175/JPO-D-14-0100.1, 2015. a, b, c
Zhang, R. and Vallis, G. K.: The Role of Bottom Vortex Stretching on the Path of the North Atlantic Western Boundary Current and on the Northern Recirculation Gyre, J. Phys. Oceanogr., 37, 2053–2080, https://doi.org/10.1175/JPO3102.1, 2007. a
Short summary
Past research has shown that the North Atlantic Ocean circulation reacts strongly to global forest cover changes. Using Earth system model simulations featuring idealised forestation and deforestation of North America, this study shows that the North Atlantic Ocean is highly sensitive to upstream land cover changes. Anomalies in air temperature over land propagate downstream and modify ocean-to-atmosphere heat fluxes over the North Atlantic through altering the cold-air outbreak frequency.
Past research has shown that the North Atlantic Ocean circulation reacts strongly to global...
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