Multi-scale variability features of global sea surface temperature over the past century

Understanding the multi-scale variabilities of global sea surface temperature (GSST) is extremely critical for deepening the comprehension of surface climate change. Great efforts have been made to study the multi-scale features of GSST, however, aiming to fully reveal the local features, here we pr...

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Published in:Frontiers in Marine Science
Main Authors: Xu, Zhenhao, Huang, Gang, Ji, Fei, Liu, Bo
Format: Article in Journal/Newspaper
Language:unknown
Published: Frontiers Media SA 2023
Subjects:
Online Access:http://dx.doi.org/10.3389/fmars.2023.1238320
https://www.frontiersin.org/articles/10.3389/fmars.2023.1238320/full
id crfrontiers:10.3389/fmars.2023.1238320
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spelling crfrontiers:10.3389/fmars.2023.1238320 2024-02-11T10:06:40+01:00 Multi-scale variability features of global sea surface temperature over the past century Xu, Zhenhao Huang, Gang Ji, Fei Liu, Bo 2023 http://dx.doi.org/10.3389/fmars.2023.1238320 https://www.frontiersin.org/articles/10.3389/fmars.2023.1238320/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Marine Science volume 10 ISSN 2296-7745 Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography journal-article 2023 crfrontiers https://doi.org/10.3389/fmars.2023.1238320 2024-01-26T09:59:59Z Understanding the multi-scale variabilities of global sea surface temperature (GSST) is extremely critical for deepening the comprehension of surface climate change. Great efforts have been made to study the multi-scale features of GSST, however, aiming to fully reveal the local features, here we propose a combined approach, incorporating an adaptive method named Ensemble Empirical Mode Decomposition (EEMD), and Pairwise-Rotated EOF (REOF), to separate signals on various frequency bands and eliminate the confounded EOF signatures. The results show that the explained variance of high-frequency components (HFC) in the equatorial central-eastern and south mid-latitude Pacific could reach more than 60%. The grid points where the variance contributions of low-frequency components (LFC) are greater than 40% are mainly concentrated in the subpolar North Atlantic and the Southern Ocean in both Pacific and Atlantic sectors, while that for secular trend (ST) hitting beyond 60% are displayed in the North Indian Ocean, the Southern Ocean from the tip of southwest Africa expanded to the southern side of Australia, Indo-western Pacific, east of the continents in both hemispheres and tropical Atlantic. By applying the EOF/REOF analysis, the leading modes of the HFC, LFC, and ST are then yielded. It is found that the patterns of the HFC are associated with El Niño-South Oscillation (ENSO) diversity, inferring the dominance and independence of the Eastern Pacific (EP) and Central Pacific (CP) El Niño. Meanwhile, Atlantic Multidecadal Oscillation (AMO) and Pacific Decadal Oscillation (PDO) emerge in the rotated modes of the LFC, with the former exhibiting an Atlantic-Pacific coupling. Article in Journal/Newspaper North Atlantic Southern Ocean Frontiers (Publisher) Indian Pacific Southern Ocean Frontiers in Marine Science 10
institution Open Polar
collection Frontiers (Publisher)
op_collection_id crfrontiers
language unknown
topic Ocean Engineering
Water Science and Technology
Aquatic Science
Global and Planetary Change
Oceanography
spellingShingle Ocean Engineering
Water Science and Technology
Aquatic Science
Global and Planetary Change
Oceanography
Xu, Zhenhao
Huang, Gang
Ji, Fei
Liu, Bo
Multi-scale variability features of global sea surface temperature over the past century
topic_facet Ocean Engineering
Water Science and Technology
Aquatic Science
Global and Planetary Change
Oceanography
description Understanding the multi-scale variabilities of global sea surface temperature (GSST) is extremely critical for deepening the comprehension of surface climate change. Great efforts have been made to study the multi-scale features of GSST, however, aiming to fully reveal the local features, here we propose a combined approach, incorporating an adaptive method named Ensemble Empirical Mode Decomposition (EEMD), and Pairwise-Rotated EOF (REOF), to separate signals on various frequency bands and eliminate the confounded EOF signatures. The results show that the explained variance of high-frequency components (HFC) in the equatorial central-eastern and south mid-latitude Pacific could reach more than 60%. The grid points where the variance contributions of low-frequency components (LFC) are greater than 40% are mainly concentrated in the subpolar North Atlantic and the Southern Ocean in both Pacific and Atlantic sectors, while that for secular trend (ST) hitting beyond 60% are displayed in the North Indian Ocean, the Southern Ocean from the tip of southwest Africa expanded to the southern side of Australia, Indo-western Pacific, east of the continents in both hemispheres and tropical Atlantic. By applying the EOF/REOF analysis, the leading modes of the HFC, LFC, and ST are then yielded. It is found that the patterns of the HFC are associated with El Niño-South Oscillation (ENSO) diversity, inferring the dominance and independence of the Eastern Pacific (EP) and Central Pacific (CP) El Niño. Meanwhile, Atlantic Multidecadal Oscillation (AMO) and Pacific Decadal Oscillation (PDO) emerge in the rotated modes of the LFC, with the former exhibiting an Atlantic-Pacific coupling.
format Article in Journal/Newspaper
author Xu, Zhenhao
Huang, Gang
Ji, Fei
Liu, Bo
author_facet Xu, Zhenhao
Huang, Gang
Ji, Fei
Liu, Bo
author_sort Xu, Zhenhao
title Multi-scale variability features of global sea surface temperature over the past century
title_short Multi-scale variability features of global sea surface temperature over the past century
title_full Multi-scale variability features of global sea surface temperature over the past century
title_fullStr Multi-scale variability features of global sea surface temperature over the past century
title_full_unstemmed Multi-scale variability features of global sea surface temperature over the past century
title_sort multi-scale variability features of global sea surface temperature over the past century
publisher Frontiers Media SA
publishDate 2023
url http://dx.doi.org/10.3389/fmars.2023.1238320
https://www.frontiersin.org/articles/10.3389/fmars.2023.1238320/full
geographic Indian
Pacific
Southern Ocean
geographic_facet Indian
Pacific
Southern Ocean
genre North Atlantic
Southern Ocean
genre_facet North Atlantic
Southern Ocean
op_source Frontiers in Marine Science
volume 10
ISSN 2296-7745
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3389/fmars.2023.1238320
container_title Frontiers in Marine Science
container_volume 10
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