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Seasonal prediction of the boreal winter stratosphere
The predictability of the Northern Hemisphere stratosphere and its underlying dynamics are investigated in five state-of-the-art seasonal prediction systems from the Copernicus Climate Change Service (C3S) multi-model database. Special attention is devoted to the connection between the stratospheric...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012732/ https://www.ncbi.nlm.nih.gov/pubmed/35509809 http://dx.doi.org/10.1007/s00382-021-05787-9 |
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author | Portal, Alice Ruggieri, Paolo Palmeiro, Froila M. García-Serrano, Javier Domeisen, Daniela I. V. Gualdi, Silvio |
author_facet | Portal, Alice Ruggieri, Paolo Palmeiro, Froila M. García-Serrano, Javier Domeisen, Daniela I. V. Gualdi, Silvio |
author_sort | Portal, Alice |
collection | PubMed |
description | The predictability of the Northern Hemisphere stratosphere and its underlying dynamics are investigated in five state-of-the-art seasonal prediction systems from the Copernicus Climate Change Service (C3S) multi-model database. Special attention is devoted to the connection between the stratospheric polar vortex (SPV) and lower-stratosphere wave activity (LSWA). We find that in winter (December to February) dynamical forecasts initialised on the first of November are considerably more skilful than empirical forecasts based on October anomalies. Moreover, the coupling of the SPV with mid-latitude LSWA (i.e., meridional eddy heat flux) is generally well reproduced by the forecast systems, allowing for the identification of a robust link between the predictability of wave activity above the tropopause and the SPV skill. Our results highlight the importance of November-to-February LSWA, in particular in the Eurasian sector, for forecasts of the winter stratosphere. Finally, the role of potential sources of seasonal stratospheric predictability is considered: we find that the C3S multi-model overestimates the stratospheric response to El Niño–Southern Oscillation (ENSO) and underestimates the influence of the Quasi–Biennial Oscillation (QBO). SUPPLEMENTARY INFORMATION: The online version supplementary material available at 10.1007/s00382-021-05787-9. |
format | Online Article Text |
id | pubmed-9012732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-90127322022-05-02 Seasonal prediction of the boreal winter stratosphere Portal, Alice Ruggieri, Paolo Palmeiro, Froila M. García-Serrano, Javier Domeisen, Daniela I. V. Gualdi, Silvio Clim Dyn Article The predictability of the Northern Hemisphere stratosphere and its underlying dynamics are investigated in five state-of-the-art seasonal prediction systems from the Copernicus Climate Change Service (C3S) multi-model database. Special attention is devoted to the connection between the stratospheric polar vortex (SPV) and lower-stratosphere wave activity (LSWA). We find that in winter (December to February) dynamical forecasts initialised on the first of November are considerably more skilful than empirical forecasts based on October anomalies. Moreover, the coupling of the SPV with mid-latitude LSWA (i.e., meridional eddy heat flux) is generally well reproduced by the forecast systems, allowing for the identification of a robust link between the predictability of wave activity above the tropopause and the SPV skill. Our results highlight the importance of November-to-February LSWA, in particular in the Eurasian sector, for forecasts of the winter stratosphere. Finally, the role of potential sources of seasonal stratospheric predictability is considered: we find that the C3S multi-model overestimates the stratospheric response to El Niño–Southern Oscillation (ENSO) and underestimates the influence of the Quasi–Biennial Oscillation (QBO). SUPPLEMENTARY INFORMATION: The online version supplementary material available at 10.1007/s00382-021-05787-9. Springer Berlin Heidelberg 2021-05-18 2022 /pmc/articles/PMC9012732/ /pubmed/35509809 http://dx.doi.org/10.1007/s00382-021-05787-9 Text en © The Author(s) 2021 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 Portal, Alice Ruggieri, Paolo Palmeiro, Froila M. García-Serrano, Javier Domeisen, Daniela I. V. Gualdi, Silvio Seasonal prediction of the boreal winter stratosphere |
title | Seasonal prediction of the boreal winter stratosphere |
title_full | Seasonal prediction of the boreal winter stratosphere |
title_fullStr | Seasonal prediction of the boreal winter stratosphere |
title_full_unstemmed | Seasonal prediction of the boreal winter stratosphere |
title_short | Seasonal prediction of the boreal winter stratosphere |
title_sort | seasonal prediction of the boreal winter stratosphere |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012732/ https://www.ncbi.nlm.nih.gov/pubmed/35509809 http://dx.doi.org/10.1007/s00382-021-05787-9 |
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