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Remotely sensing potential climate change tipping points across scales

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

*Corresponding author for this work

    Research output: Contribution to journal › Article › peer-review

    114 Citations (Scopus)
    55 Downloads (Pure)

    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.

    Original languageEnglish
    Article number343
    Number of pages15
    JournalNature Communications
    Volume15
    Issue number1
    DOIs
    Publication statusPublished - 6 Jan 2024

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 13 - Climate Action
      SDG 13 Climate Action

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