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  Remotely sensing potential climate change tipping points across scales

Lenton, T. M., Abrams, J. F., Bartsch, A., Bathiany, S., Boulton, C. A., Buxton, J. E., et al. (2024). Remotely sensing potential climate change tipping points across scales. Nature Communications, 15(1): 343. doi:10.1038/s41467-023-44609-w.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-618E-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-6192-E
Genre: Journal Article

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Creators

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 Creators:
Lenton, Timothy M., Author
Abrams, Jesse F., Author
Bartsch, Annett, Author
Bathiany, Sebastian, Author
Boulton, Chris A., Author
Buxton, Joshua E., Author
Conversi, Alessandra, Author
Cunliffe, Andrew M., Author
Hebden, Sophie, Author
Lavergne, Thomas, Author
Poulter, Benjamin, Author
Shepherd, Andrew, Author
Smith, Taylor, Author
Swingedouw, Didier, Author
Winkelmann, Ricarda1, Author                 
Boers, Niklas, Author
Affiliations:
1external, Max Planck Institute of Geoanthropology, Max Planck Society, ou_3520819              

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Free keywords: Climate-change impacts, Projection and prediction
 Abstract: 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.

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Language(s): eng - English
 Dates: 2023-09-152023-12-182024-01-06
 Publication Status: Published online
 Pages: 14
 Publishing info: -
 Table of Contents: Policy needs
Remote sensing targets and requirements
Remote sensing opportunities
Detecting different tipping phenomena
Crossing scales.
Macro tipping.
Propagating tipping.
Clustered tipping.
Societal impact tipping.
Resilience monitoring and tipping point early warning
Critical slowing down.
Temporal resilience indicators.
Resilience sensing of vegetation.
Application to other tipping systems.
Noise-induced tipping.
Leveraging spatial data
Space-for-time substitution.
Deriving tipping probabilities.
Spatial early warning indicators.
Spatially patterned systems.
Combining data and models
Designing remote sensing strategies.
Emergent constraints.
Decadal predictions.
Assessing tipping interactions
Current understanding.
Detecting interactions.
Inferring causality.
Outlook
Sensing system
Improving data
Refining methods
Conclusion
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41467-023-44609-w
Other: Win078
 Degree: -

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Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 15 (1) Sequence Number: 343 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723