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Prediction of Indian Summer-Monsoon Onset Variability: A Season in Advance
Monsoon onset is an inherent transient phenomenon of Indian Summer Monsoon and it was never envisaged that this transience can be predicted at long lead times. Though onset is precipitous, its variability exhibits strong teleconnections with large scale forcing such as ENSO and IOD and hence may be...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660256/ https://www.ncbi.nlm.nih.gov/pubmed/29079764 http://dx.doi.org/10.1038/s41598-017-12594-y |
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author | Pradhan, Maheswar Rao, A. Suryachandra Srivastava, Ankur Dakate, Ashish Salunke, Kiran Shameera, K. S. |
author_facet | Pradhan, Maheswar Rao, A. Suryachandra Srivastava, Ankur Dakate, Ashish Salunke, Kiran Shameera, K. S. |
author_sort | Pradhan, Maheswar |
collection | PubMed |
description | Monsoon onset is an inherent transient phenomenon of Indian Summer Monsoon and it was never envisaged that this transience can be predicted at long lead times. Though onset is precipitous, its variability exhibits strong teleconnections with large scale forcing such as ENSO and IOD and hence may be predictable. Despite of the tremendous skill achieved by the state-of-the-art models in predicting such large scale processes, the prediction of monsoon onset variability by the models is still limited to just 2–3 weeks in advance. Using an objective definition of onset in a global coupled ocean-atmosphere model, it is shown that the skillful prediction of onset variability is feasible under seasonal prediction framework. The better representations/simulations of not only the large scale processes but also the synoptic and intraseasonal features during the evolution of monsoon onset are the comprehensions behind skillful simulation of monsoon onset variability. The changes observed in convection, tropospheric circulation and moisture availability prior to and after the onset are evidenced in model simulations, which resulted in high hit rate of early/delay in monsoon onset in the high resolution model. |
format | Online Article Text |
id | pubmed-5660256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56602562017-11-01 Prediction of Indian Summer-Monsoon Onset Variability: A Season in Advance Pradhan, Maheswar Rao, A. Suryachandra Srivastava, Ankur Dakate, Ashish Salunke, Kiran Shameera, K. S. Sci Rep Article Monsoon onset is an inherent transient phenomenon of Indian Summer Monsoon and it was never envisaged that this transience can be predicted at long lead times. Though onset is precipitous, its variability exhibits strong teleconnections with large scale forcing such as ENSO and IOD and hence may be predictable. Despite of the tremendous skill achieved by the state-of-the-art models in predicting such large scale processes, the prediction of monsoon onset variability by the models is still limited to just 2–3 weeks in advance. Using an objective definition of onset in a global coupled ocean-atmosphere model, it is shown that the skillful prediction of onset variability is feasible under seasonal prediction framework. The better representations/simulations of not only the large scale processes but also the synoptic and intraseasonal features during the evolution of monsoon onset are the comprehensions behind skillful simulation of monsoon onset variability. The changes observed in convection, tropospheric circulation and moisture availability prior to and after the onset are evidenced in model simulations, which resulted in high hit rate of early/delay in monsoon onset in the high resolution model. Nature Publishing Group UK 2017-10-27 /pmc/articles/PMC5660256/ /pubmed/29079764 http://dx.doi.org/10.1038/s41598-017-12594-y Text en © The Author(s) 2017 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 Pradhan, Maheswar Rao, A. Suryachandra Srivastava, Ankur Dakate, Ashish Salunke, Kiran Shameera, K. S. Prediction of Indian Summer-Monsoon Onset Variability: A Season in Advance |
title | Prediction of Indian Summer-Monsoon Onset Variability: A Season in Advance |
title_full | Prediction of Indian Summer-Monsoon Onset Variability: A Season in Advance |
title_fullStr | Prediction of Indian Summer-Monsoon Onset Variability: A Season in Advance |
title_full_unstemmed | Prediction of Indian Summer-Monsoon Onset Variability: A Season in Advance |
title_short | Prediction of Indian Summer-Monsoon Onset Variability: A Season in Advance |
title_sort | prediction of indian summer-monsoon onset variability: a season in advance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660256/ https://www.ncbi.nlm.nih.gov/pubmed/29079764 http://dx.doi.org/10.1038/s41598-017-12594-y |
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