Recent ENSO evolution and its real-time prediction challenges

The frequent occurrences of the second-year surface cooling condition in the eastern equatorial Pacific, as observed in late 2021, are attributed to decadal changes in the thermocline depth, which determine the relative dominances of local cooling effect in the east and subsurface warming effect rem...

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Detalles Bibliográficos
Autores principales: Zhang, Rong-Hua, Gao, Chuan, Feng, Licheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071065/
https://www.ncbi.nlm.nih.gov/pubmed/35530434
http://dx.doi.org/10.1093/nsr/nwac052
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author Zhang, Rong-Hua
Gao, Chuan
Feng, Licheng
author_facet Zhang, Rong-Hua
Gao, Chuan
Feng, Licheng
author_sort Zhang, Rong-Hua
collection PubMed
description The frequent occurrences of the second-year surface cooling condition in the eastern equatorial Pacific, as observed in late 2021, are attributed to decadal changes in the thermocline depth, which determine the relative dominances of local cooling effect in the east and subsurface warming effect remotely from the west. Coupled models need to adequately represent these processes in a balanced way, thus being able to successfully predict the observed sea surface temperature evolution in late 2021.
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spelling pubmed-90710652022-05-06 Recent ENSO evolution and its real-time prediction challenges Zhang, Rong-Hua Gao, Chuan Feng, Licheng Natl Sci Rev Perspective The frequent occurrences of the second-year surface cooling condition in the eastern equatorial Pacific, as observed in late 2021, are attributed to decadal changes in the thermocline depth, which determine the relative dominances of local cooling effect in the east and subsurface warming effect remotely from the west. Coupled models need to adequately represent these processes in a balanced way, thus being able to successfully predict the observed sea surface temperature evolution in late 2021. Oxford University Press 2022-03-23 /pmc/articles/PMC9071065/ /pubmed/35530434 http://dx.doi.org/10.1093/nsr/nwac052 Text en © The Author(s) 2022. 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 Perspective
Zhang, Rong-Hua
Gao, Chuan
Feng, Licheng
Recent ENSO evolution and its real-time prediction challenges
title Recent ENSO evolution and its real-time prediction challenges
title_full Recent ENSO evolution and its real-time prediction challenges
title_fullStr Recent ENSO evolution and its real-time prediction challenges
title_full_unstemmed Recent ENSO evolution and its real-time prediction challenges
title_short Recent ENSO evolution and its real-time prediction challenges
title_sort recent enso evolution and its real-time prediction challenges
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071065/
https://www.ncbi.nlm.nih.gov/pubmed/35530434
http://dx.doi.org/10.1093/nsr/nwac052
work_keys_str_mv AT zhangronghua recentensoevolutionanditsrealtimepredictionchallenges
AT gaochuan recentensoevolutionanditsrealtimepredictionchallenges
AT fenglicheng recentensoevolutionanditsrealtimepredictionchallenges

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