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Smooth velocity fields for tracking climate change
Describing the spatial velocity of climate change is essential to assessing the challenge of natural and human systems to follow its pace by adapting or migrating sufficiently fast. We propose a fully-determined approach, “MATCH”, to calculate a realistic and continuous velocity field of any climate...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863831/ https://www.ncbi.nlm.nih.gov/pubmed/35194131 http://dx.doi.org/10.1038/s41598-022-07056-z |
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author | Gaponenko, Iaroslav Rohat, Guillaume Goyette, Stéphane Paruch, Patrycja Kasparian, Jérôme |
author_facet | Gaponenko, Iaroslav Rohat, Guillaume Goyette, Stéphane Paruch, Patrycja Kasparian, Jérôme |
author_sort | Gaponenko, Iaroslav |
collection | PubMed |
description | Describing the spatial velocity of climate change is essential to assessing the challenge of natural and human systems to follow its pace by adapting or migrating sufficiently fast. We propose a fully-determined approach, “MATCH”, to calculate a realistic and continuous velocity field of any climate parameter, without the need for ad hoc assumptions. We apply this approach to the displacement of isotherms predicted by global and regional climate models between 1950 and 2100 under the IPCC-AR5 RCP 8.5 emission scenario, and show that it provides detailed velocity patterns especially at the regional scale. This method thus favors comparisons between models as well as the analysis of regional or local features. Furthermore, the trajectories obtained using the MATCH approach are less sensitive to inter-annual fluctuations and therefore allow us to introduce a trajectory regularity index, offering a quantitative perspective on the discussion of climate sinks and sources. |
format | Online Article Text |
id | pubmed-8863831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88638312022-02-23 Smooth velocity fields for tracking climate change Gaponenko, Iaroslav Rohat, Guillaume Goyette, Stéphane Paruch, Patrycja Kasparian, Jérôme Sci Rep Article Describing the spatial velocity of climate change is essential to assessing the challenge of natural and human systems to follow its pace by adapting or migrating sufficiently fast. We propose a fully-determined approach, “MATCH”, to calculate a realistic and continuous velocity field of any climate parameter, without the need for ad hoc assumptions. We apply this approach to the displacement of isotherms predicted by global and regional climate models between 1950 and 2100 under the IPCC-AR5 RCP 8.5 emission scenario, and show that it provides detailed velocity patterns especially at the regional scale. This method thus favors comparisons between models as well as the analysis of regional or local features. Furthermore, the trajectories obtained using the MATCH approach are less sensitive to inter-annual fluctuations and therefore allow us to introduce a trajectory regularity index, offering a quantitative perspective on the discussion of climate sinks and sources. Nature Publishing Group UK 2022-02-22 /pmc/articles/PMC8863831/ /pubmed/35194131 http://dx.doi.org/10.1038/s41598-022-07056-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Gaponenko, Iaroslav Rohat, Guillaume Goyette, Stéphane Paruch, Patrycja Kasparian, Jérôme Smooth velocity fields for tracking climate change |
title | Smooth velocity fields for tracking climate change |
title_full | Smooth velocity fields for tracking climate change |
title_fullStr | Smooth velocity fields for tracking climate change |
title_full_unstemmed | Smooth velocity fields for tracking climate change |
title_short | Smooth velocity fields for tracking climate change |
title_sort | smooth velocity fields for tracking climate change |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863831/ https://www.ncbi.nlm.nih.gov/pubmed/35194131 http://dx.doi.org/10.1038/s41598-022-07056-z |
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