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Assessing reliability of regional climate projections: the case of Indian monsoon

Projections of climate change are emerging to play major roles in many applications. However, assessing reliability of climate change projections, especially at regional scales, remains a major challenge. An important question is the degree of progress made since the earlier IPCC simulations (CMIP3)...

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Detalles Bibliográficos
Autores principales: Ramesh, K. V., Goswami, Prashant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3921638/
https://www.ncbi.nlm.nih.gov/pubmed/24518919
http://dx.doi.org/10.1038/srep04071
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author Ramesh, K. V.
Goswami, Prashant
author_facet Ramesh, K. V.
Goswami, Prashant
author_sort Ramesh, K. V.
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description Projections of climate change are emerging to play major roles in many applications. However, assessing reliability of climate change projections, especially at regional scales, remains a major challenge. An important question is the degree of progress made since the earlier IPCC simulations (CMIP3) to the latest, recently completed CMIP5. We consider the continental Indian monsoon as an example and apply a hierarchical approach for assessing reliability, using the accuracy in simulating the historical trend as the primary criterion. While the scope has increased in CMIP5, there is essentially no improvement in skill in projections since CMIP3 in terms of reliability (confidence). Thus, it may be necessary to consider acceptable models for specific assessment rather than simple ensemble. Analysis of climate indices shows that in both CMIP5 and CMIP3 certain common processes at large and regional scales as well as slow timescales are associated with successful simulation of trend and mean.
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spelling pubmed-39216382014-02-14 Assessing reliability of regional climate projections: the case of Indian monsoon Ramesh, K. V. Goswami, Prashant Sci Rep Article Projections of climate change are emerging to play major roles in many applications. However, assessing reliability of climate change projections, especially at regional scales, remains a major challenge. An important question is the degree of progress made since the earlier IPCC simulations (CMIP3) to the latest, recently completed CMIP5. We consider the continental Indian monsoon as an example and apply a hierarchical approach for assessing reliability, using the accuracy in simulating the historical trend as the primary criterion. While the scope has increased in CMIP5, there is essentially no improvement in skill in projections since CMIP3 in terms of reliability (confidence). Thus, it may be necessary to consider acceptable models for specific assessment rather than simple ensemble. Analysis of climate indices shows that in both CMIP5 and CMIP3 certain common processes at large and regional scales as well as slow timescales are associated with successful simulation of trend and mean. Nature Publishing Group 2014-02-12 /pmc/articles/PMC3921638/ /pubmed/24518919 http://dx.doi.org/10.1038/srep04071 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareALike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Article
Ramesh, K. V.
Goswami, Prashant
Assessing reliability of regional climate projections: the case of Indian monsoon
title Assessing reliability of regional climate projections: the case of Indian monsoon
title_full Assessing reliability of regional climate projections: the case of Indian monsoon
title_fullStr Assessing reliability of regional climate projections: the case of Indian monsoon
title_full_unstemmed Assessing reliability of regional climate projections: the case of Indian monsoon
title_short Assessing reliability of regional climate projections: the case of Indian monsoon
title_sort assessing reliability of regional climate projections: the case of indian monsoon
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3921638/
https://www.ncbi.nlm.nih.gov/pubmed/24518919
http://dx.doi.org/10.1038/srep04071
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