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Impact of evolving greenhouse gas forcing on the warming signal in regional climate model experiments
Variations in the atmospheric concentrations of greenhouse gases (GHG) may not be included as external forcing when running regional climate models (RCMs); at least, this is a non-regulated, non-documented practice. Here we investigate the so far unexplored impact of considering the rising evolution...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880811/ https://www.ncbi.nlm.nih.gov/pubmed/29610459 http://dx.doi.org/10.1038/s41467-018-03527-y |
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author | Jerez, S. López-Romero, J. M. Turco, M. Jiménez-Guerrero, P. Vautard, R. Montávez, J. P. |
author_facet | Jerez, S. López-Romero, J. M. Turco, M. Jiménez-Guerrero, P. Vautard, R. Montávez, J. P. |
author_sort | Jerez, S. |
collection | PubMed |
description | Variations in the atmospheric concentrations of greenhouse gases (GHG) may not be included as external forcing when running regional climate models (RCMs); at least, this is a non-regulated, non-documented practice. Here we investigate the so far unexplored impact of considering the rising evolution of the CO(2), CH(4), and N(2)O atmospheric concentrations on near-surface air temperature (TAS) trends, for both the recent past and the near future, as simulated by a state-of-the-art RCM over Europe. The results show that the TAS trends are significantly affected by 1–2 K century(−1), which under 1.5 °C global warming translates into a non-negligible impact of up to 1 K in the regional projections of TAS, similarly affecting projections for maximum and minimum temperatures. In some cases, these differences involve a doubling signal, laying further claim to careful reconsideration of the RCM setups with regard to the inclusion of GHG concentrations as an evolving external forcing which, for the sake of research reproducibility and reliability, should be clearly documented in the literature. |
format | Online Article Text |
id | pubmed-5880811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58808112018-04-04 Impact of evolving greenhouse gas forcing on the warming signal in regional climate model experiments Jerez, S. López-Romero, J. M. Turco, M. Jiménez-Guerrero, P. Vautard, R. Montávez, J. P. Nat Commun Article Variations in the atmospheric concentrations of greenhouse gases (GHG) may not be included as external forcing when running regional climate models (RCMs); at least, this is a non-regulated, non-documented practice. Here we investigate the so far unexplored impact of considering the rising evolution of the CO(2), CH(4), and N(2)O atmospheric concentrations on near-surface air temperature (TAS) trends, for both the recent past and the near future, as simulated by a state-of-the-art RCM over Europe. The results show that the TAS trends are significantly affected by 1–2 K century(−1), which under 1.5 °C global warming translates into a non-negligible impact of up to 1 K in the regional projections of TAS, similarly affecting projections for maximum and minimum temperatures. In some cases, these differences involve a doubling signal, laying further claim to careful reconsideration of the RCM setups with regard to the inclusion of GHG concentrations as an evolving external forcing which, for the sake of research reproducibility and reliability, should be clearly documented in the literature. Nature Publishing Group UK 2018-04-03 /pmc/articles/PMC5880811/ /pubmed/29610459 http://dx.doi.org/10.1038/s41467-018-03527-y Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jerez, S. López-Romero, J. M. Turco, M. Jiménez-Guerrero, P. Vautard, R. Montávez, J. P. Impact of evolving greenhouse gas forcing on the warming signal in regional climate model experiments |
title | Impact of evolving greenhouse gas forcing on the warming signal in regional climate model experiments |
title_full | Impact of evolving greenhouse gas forcing on the warming signal in regional climate model experiments |
title_fullStr | Impact of evolving greenhouse gas forcing on the warming signal in regional climate model experiments |
title_full_unstemmed | Impact of evolving greenhouse gas forcing on the warming signal in regional climate model experiments |
title_short | Impact of evolving greenhouse gas forcing on the warming signal in regional climate model experiments |
title_sort | impact of evolving greenhouse gas forcing on the warming signal in regional climate model experiments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880811/ https://www.ncbi.nlm.nih.gov/pubmed/29610459 http://dx.doi.org/10.1038/s41467-018-03527-y |
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