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Decadal climate predictability in the southern Indian Ocean captured by SINTEX-F using a simple SST-nudging scheme
Decadal climate variability in the southern Indian Ocean has great influences on southern African climate through modulation of atmospheric circulation. Although many efforts have been made to understanding physical mechanisms, predictability of the decadal climate variability, in particular, the in...
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/PMC5786087/ https://www.ncbi.nlm.nih.gov/pubmed/29374176 http://dx.doi.org/10.1038/s41598-018-19349-3 |
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author | Morioka, Yushi Doi, Takeshi Behera, Swadhin K. |
author_facet | Morioka, Yushi Doi, Takeshi Behera, Swadhin K. |
author_sort | Morioka, Yushi |
collection | PubMed |
description | Decadal climate variability in the southern Indian Ocean has great influences on southern African climate through modulation of atmospheric circulation. Although many efforts have been made to understanding physical mechanisms, predictability of the decadal climate variability, in particular, the internally generated variability independent from external atmospheric forcing, remains poorly understood. This study investigates predictability of the decadal climate variability in the southern Indian Ocean using a coupled general circulation model, called SINTEX-F. The ensemble members of the decadal reforecast experiments were initialized with a simple sea surface temperature (SST) nudging scheme. The observed positive and negative peaks during late 1990s and late 2000s are well reproduced in the reforecast experiments initiated from 1994 and 1999, respectively. The experiments initiated from 1994 successfully capture warm SST and high sea level pressure anomalies propagating from the South Atlantic to the southern Indian Ocean. Also, the other experiments initiated from 1999 skillfully predict phase change from a positive to negative peak. These results suggest that the SST-nudging initialization has the essence to capture the predictability of the internally generated decadal climate variability in the southern Indian Ocean. |
format | Online Article Text |
id | pubmed-5786087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57860872018-02-07 Decadal climate predictability in the southern Indian Ocean captured by SINTEX-F using a simple SST-nudging scheme Morioka, Yushi Doi, Takeshi Behera, Swadhin K. Sci Rep Article Decadal climate variability in the southern Indian Ocean has great influences on southern African climate through modulation of atmospheric circulation. Although many efforts have been made to understanding physical mechanisms, predictability of the decadal climate variability, in particular, the internally generated variability independent from external atmospheric forcing, remains poorly understood. This study investigates predictability of the decadal climate variability in the southern Indian Ocean using a coupled general circulation model, called SINTEX-F. The ensemble members of the decadal reforecast experiments were initialized with a simple sea surface temperature (SST) nudging scheme. The observed positive and negative peaks during late 1990s and late 2000s are well reproduced in the reforecast experiments initiated from 1994 and 1999, respectively. The experiments initiated from 1994 successfully capture warm SST and high sea level pressure anomalies propagating from the South Atlantic to the southern Indian Ocean. Also, the other experiments initiated from 1999 skillfully predict phase change from a positive to negative peak. These results suggest that the SST-nudging initialization has the essence to capture the predictability of the internally generated decadal climate variability in the southern Indian Ocean. Nature Publishing Group UK 2018-01-26 /pmc/articles/PMC5786087/ /pubmed/29374176 http://dx.doi.org/10.1038/s41598-018-19349-3 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 Morioka, Yushi Doi, Takeshi Behera, Swadhin K. Decadal climate predictability in the southern Indian Ocean captured by SINTEX-F using a simple SST-nudging scheme |
title | Decadal climate predictability in the southern Indian Ocean captured by SINTEX-F using a simple SST-nudging scheme |
title_full | Decadal climate predictability in the southern Indian Ocean captured by SINTEX-F using a simple SST-nudging scheme |
title_fullStr | Decadal climate predictability in the southern Indian Ocean captured by SINTEX-F using a simple SST-nudging scheme |
title_full_unstemmed | Decadal climate predictability in the southern Indian Ocean captured by SINTEX-F using a simple SST-nudging scheme |
title_short | Decadal climate predictability in the southern Indian Ocean captured by SINTEX-F using a simple SST-nudging scheme |
title_sort | decadal climate predictability in the southern indian ocean captured by sintex-f using a simple sst-nudging scheme |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5786087/ https://www.ncbi.nlm.nih.gov/pubmed/29374176 http://dx.doi.org/10.1038/s41598-018-19349-3 |
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