Remotely sensing potential climate change tipping points across scales
dc.contributor.author | Lenton, TM | |
dc.contributor.author | Abrams, JF | |
dc.contributor.author | Bartsch, A | |
dc.contributor.author | Bathiany, S | |
dc.contributor.author | Boulton, CA | |
dc.contributor.author | Buxton, JE | |
dc.contributor.author | Conversi, A | |
dc.contributor.author | Cunliffe, AM | |
dc.contributor.author | Hebden, S | |
dc.contributor.author | Lavergne, T | |
dc.contributor.author | Poulter, B | |
dc.contributor.author | Shepherd, A | |
dc.contributor.author | Smith, T | |
dc.contributor.author | Swingedouw, D | |
dc.contributor.author | Winkelmann, R | |
dc.contributor.author | Boers, N | |
dc.date.accessioned | 2024-10-28T10:01:55Z | |
dc.date.issued | 2024-01-06 | |
dc.date.updated | 2024-10-25T08:10:39Z | |
dc.description.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. | en_GB |
dc.identifier.citation | Vol. 15(1), article 343 | en_GB |
dc.identifier.doi | https://doi.org/10.1038/s41467-023-44609-w | |
dc.identifier.uri | http://hdl.handle.net/10871/137794 | |
dc.identifier | ORCID: 0000-0002-6725-7498 (Lenton, Timothy M) | |
dc.identifier | ORCID: 0000-0003-0411-8519 (Abrams, Jesse F) | |
dc.identifier | ORCID: 0000-0001-7836-9391 (Boulton, Chris A) | |
dc.identifier | ORCID: 0000-0002-8346-4278 (Cunliffe, Andrew M) | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.relation.url | https://modis.gsfc.nasa.gov/data/ | en_GB |
dc.relation.url | https://www.metoffice.gov.uk/hadobs/ | en_GB |
dc.relation.url | https://www.usgs.gov/centers/eros/science/usgs-eros-archive-avhrr-normalized-difference-vegetation-index-ndvi-composites | en_GB |
dc.relation.url | https://dataspace.copernicus.eu/explore-data/data-collections/sentinel-data/sentinel-2 | en_GB |
dc.relation.url | https://doi.org/10.24381/cds.adbb2d47 | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/38184618 | en_GB |
dc.rights | © 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/ | en_GB |
dc.title | Remotely sensing potential climate change tipping points across scales | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2024-10-28T10:01:55Z | |
dc.identifier.issn | 2041-1723 | |
exeter.article-number | 343 | |
exeter.place-of-publication | England | |
dc.description | This is the final version. Available on open access from Nature Research via the DOI in this record | en_GB |
dc.description | Data availability: All data used in Fig. 3 are freely available from the following sources: MODIS data from NASA: https://modis.gsfc.nasa.gov/data/. HadISST data from the Met Office: https://www.metoffice.gov.uk/hadobs/. AVHRR NDVI data from USGS: https://www.usgs.gov/centers/eros/science/usgs-eros-archive-avhrr-normalized-difference-vegetation-index-ndvi-composites. Sentinel-2 data from Copernicus: https://dataspace.copernicus.eu/explore-data/data-collections/sentinel-data/sentinel-2. ERA5 precipitation data from Copernicus: https://doi.org/10.24381/cds.adbb2d47. The AMOC SST Index can be found as ‘SST_SG_GM’ in ref. 37. | en_GB |
dc.identifier.eissn | 2041-1723 | |
dc.identifier.journal | Nature Communications | en_GB |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2023-12-18 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2024-01-06 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2024-10-28T09:41:05Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2024-10-28T10:02:42Z | |
refterms.panel | C | en_GB |
refterms.dateFirstOnline | 2024-01-06 |
Files in this item
This item appears in the following Collection(s)
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/