Remotely sensing potential climate change tipping points across scales

Lenton, TM; Abrams, JF; Bartsch, A; et al.Bathiany, S; Boulton, CA; Buxton, JE; Conversi, A; Cunliffe, AM; Hebden, S; Lavergne, T; Poulter, B; Shepherd, A; Smith, T; Swingedouw, D; Winkelmann, R; Boers, N
Date: 6 January 2024
Journal
Nature Communications
Publisher
Nature Research
Publisher DOI
https://doi.org/10.1038/s41467-023-44609-w
Related links
https://modis.gsfc.nasa.gov/data/
https://www.metoffice.gov.uk/hadobs/
https://www.usgs.gov/centers/eros/science/usgs-eros-archive-avhrr-normalized-difference-vegetation-index-ndvi-composites
https://dataspace.copernicus.eu/explore-data/data-collections/sentinel-data/sentinel-2
https://doi.org/10.24381/cds.adbb2d47
https://www.ncbi.nlm.nih.gov/pubmed/38184618
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 ...
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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Geography

Faculty of Environment, Science and Economy

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Except where otherwise noted, this item's licence is described as © The Author(s) 2024, corrected publication 2024. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/