Remotely sensing potential climate change tipping points across scales

Lenton, Timothy M.; Abrams, Jesse F.; Bartsch, Annett; Bathiany, Sebastian; Boulton, Chris A.; Buxton, Joshua E.; Conversi, Alessandra; Cunliffe, Andrew M.; Hebden, Sophie; Lavergne, Thomas; Poulter, Benjamin; Shepherd, Andrew; Smith, Taylor; Swingedouw, Didier; Winkelmann, Ricarda; Boers, Niklas

doi:10.1038/s41467-023-44609-w

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Remotely sensing potential climate change tipping points across scales

Urheber*innen

Lenton, Timothy M.
External Organizations;

Abrams, Jesse F.
External Organizations;

Bartsch, Annett
External Organizations;

/persons/resource/sebastian.bathiany

Bathiany, Sebastian
Potsdam Institute for Climate Impact Research;

Boulton, Chris A.
External Organizations;

Buxton, Joshua E.
External Organizations;

Conversi, Alessandra
External Organizations;

Cunliffe, Andrew M.
External Organizations;

Hebden, Sophie
External Organizations;

Lavergne, Thomas
External Organizations;

Poulter, Benjamin
External Organizations;

Shepherd, Andrew
External Organizations;

Smith, Taylor
External Organizations;

Swingedouw, Didier
External Organizations;

/persons/resource/Ricarda.Winkelmann

Winkelmann, Ricarda
Potsdam Institute for Climate Impact Research;

/persons/resource/Niklas.Boers

Boers, Niklas
Potsdam Institute for Climate Impact Research;

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Zitation

Lenton, T. M., Abrams, J. F., Bartsch, A., Bathiany, S., Boulton, C. A., Buxton, J. E., Conversi, A., Cunliffe, A. M., Hebden, S., Lavergne, T., Poulter, B., Shepherd, A., Smith, T., Swingedouw, D., Winkelmann, R., Boers, N. (2024): Remotely sensing potential climate change tipping points across scales. - Nature Communications, 15, 343.
https://doi.org/10.1038/s41467-023-44609-w

Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_29364

Zusammenfassung

Potential climate tipping points pose a growing risk for societies, and policy is calling for improved anticipation of them. Satellite remote sensing can play a unique role in identifying and anticipating tipping phenomena across scales. Where satellite records are too short for temporal early warning of tipping points, complementary spatial indicators can leverage the exceptional spatial-temporal coverage of remotely sensed data to detect changing resilience of vulnerable systems. Combining Earth observation with Earth system models can improve process-based understanding of tipping points, their interactions, and potential tipping cascades. Such fine-resolution sensing can support climate tipping point risk management across scales.