Cargando…
Over-projected Pacific warming and extreme El Niño frequency due to CMIP5 common biases
Extreme El Niño events severely disrupt the global climate, causing pronounced socio-economic losses. A prevailing view is that extreme El Niño events, defined by total precipitation or convection in the Niño3 area, will increase 2-fold in the future. However, this projected change was drawn without...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566187/ https://www.ncbi.nlm.nih.gov/pubmed/34858609 http://dx.doi.org/10.1093/nsr/nwab056 |
_version_ | 1784593964411650048 |
---|---|
author | Tang, Tao Luo, Jing-Jia Peng, Ke Qi, Li Tang, Shaolei |
author_facet | Tang, Tao Luo, Jing-Jia Peng, Ke Qi, Li Tang, Shaolei |
author_sort | Tang, Tao |
collection | PubMed |
description | Extreme El Niño events severely disrupt the global climate, causing pronounced socio-economic losses. A prevailing view is that extreme El Niño events, defined by total precipitation or convection in the Niño3 area, will increase 2-fold in the future. However, this projected change was drawn without removing the potential impacts of Coupled Model Intercomparison Project phase 5 (CMIP5) models’ common biases. Here, we find that the models’ systematic biases in simulating tropical climate change over the past century can reduce the reliability of the projected change in the Pacific sea surface temperature (SST) and its related extreme El Niño frequency. The projected Pacific SST change, after removing the impacts of 13 common biases, displays a ‘La Niña-like’ rather than ‘El Niño-like’ change. Consequently, the extreme El Niño frequency, which is highly linked to the zonal distribution of the Pacific SST change, would remain mostly unchanged under CMIP5 warming scenarios. This finding increases confidence in coping with climate risks associated with global warming. |
format | Online Article Text |
id | pubmed-8566187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-85661872021-12-01 Over-projected Pacific warming and extreme El Niño frequency due to CMIP5 common biases Tang, Tao Luo, Jing-Jia Peng, Ke Qi, Li Tang, Shaolei Natl Sci Rev Earth Sciences Extreme El Niño events severely disrupt the global climate, causing pronounced socio-economic losses. A prevailing view is that extreme El Niño events, defined by total precipitation or convection in the Niño3 area, will increase 2-fold in the future. However, this projected change was drawn without removing the potential impacts of Coupled Model Intercomparison Project phase 5 (CMIP5) models’ common biases. Here, we find that the models’ systematic biases in simulating tropical climate change over the past century can reduce the reliability of the projected change in the Pacific sea surface temperature (SST) and its related extreme El Niño frequency. The projected Pacific SST change, after removing the impacts of 13 common biases, displays a ‘La Niña-like’ rather than ‘El Niño-like’ change. Consequently, the extreme El Niño frequency, which is highly linked to the zonal distribution of the Pacific SST change, would remain mostly unchanged under CMIP5 warming scenarios. This finding increases confidence in coping with climate risks associated with global warming. Oxford University Press 2021-04-06 /pmc/articles/PMC8566187/ /pubmed/34858609 http://dx.doi.org/10.1093/nsr/nwab056 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Earth Sciences Tang, Tao Luo, Jing-Jia Peng, Ke Qi, Li Tang, Shaolei Over-projected Pacific warming and extreme El Niño frequency due to CMIP5 common biases |
title | Over-projected Pacific warming and extreme El Niño frequency due to CMIP5 common biases |
title_full | Over-projected Pacific warming and extreme El Niño frequency due to CMIP5 common biases |
title_fullStr | Over-projected Pacific warming and extreme El Niño frequency due to CMIP5 common biases |
title_full_unstemmed | Over-projected Pacific warming and extreme El Niño frequency due to CMIP5 common biases |
title_short | Over-projected Pacific warming and extreme El Niño frequency due to CMIP5 common biases |
title_sort | over-projected pacific warming and extreme el niño frequency due to cmip5 common biases |
topic | Earth Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566187/ https://www.ncbi.nlm.nih.gov/pubmed/34858609 http://dx.doi.org/10.1093/nsr/nwab056 |
work_keys_str_mv | AT tangtao overprojectedpacificwarmingandextremeelninofrequencyduetocmip5commonbiases AT luojingjia overprojectedpacificwarmingandextremeelninofrequencyduetocmip5commonbiases AT pengke overprojectedpacificwarmingandextremeelninofrequencyduetocmip5commonbiases AT qili overprojectedpacificwarmingandextremeelninofrequencyduetocmip5commonbiases AT tangshaolei overprojectedpacificwarmingandextremeelninofrequencyduetocmip5commonbiases |