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author:

Su, Hua (Su, Hua.) [1] (Scholars:苏华) | Wei, Yanan (Wei, Yanan.) [2] | Lu, Wenfang (Lu, Wenfang.) [3] | Yan, Xiao-Hai (Yan, Xiao-Hai.) [4] | Zhang, Hongsheng (Zhang, Hongsheng.) [5]

Indexed by:

EI Scopus SCIE

Abstract:

As the most relevant indicator of global warming, the ocean heat content (OHC) change is tightly linked to the Earth's energy imbalance. Therefore, it is vital to study the OHC and heat absorption and redistribution. Here we analyzed the characteristics of global OHC variations based on a previously reconstructed OHC dataset (named OPEN) with four other gridded OHC datasets from 1993 to 2021. Different from the other four datasets, the OPEN dataset directly obtains OHC through remote sensing, which is reliable and superior in OHC reconstruction, further verified by the Clouds and the Earth's Radiant Energy System (CERES) radiation flux data. We quantitatively analyzed the changes in the upper 2000 m OHC of the oceans over the past three decades from a multisource and multilayer perspective. Meanwhile, we calculated the global ocean heat uptake to quantify and track the global ocean warming rate and combined it with the Oceanic Nino Index to analyze the global evolution of OHC associated with El Nino-Southern Oscillation variability. The results show that different datasets reveal a continuously increasing and non-decaying global ocean warming from multiple perspectives, with more heat being absorbed by the subsurface and deeper ocean over the past 29 years. The global OHC heating trend from 1993 to 2021 is 7.48 +/- 0.17, 7.89 +/- 0.1, 10.11 +/- 0.16, 7.78 +/- 0.17, and 12.8 +/- 0.26 x 10(22) J/decade according to OPEN, IAP, EN4, Ishii, and ORAS5, respectively, which shows that the trends of the OPEN, IAP, and Ishii datasets are generally consistent, while those of EN4 and ORAS5 datasets are much higher. In addition, the ocean warming characteristics revealed by different datasets are somewhat different. The OPEN OHC dataset from remote sensing reconstruction shows a unique remote sensing mapping advantage, presenting a distinctive warming pattern in the East Indian Ocean. Meanwhile, the OPEN dataset had the largest statistically significant area, with 85.6% of the ocean covered by significant positive trends. The significant and continuous increase in global ocean warming over the past three decades, revealed from remote sensing reconstruction, can provide an important reference for projecting ocean warming in the context of global climate change toward the United Nations Sustainable Development Goals.

Keyword:

ENSO global ocean warming Ocean Heat Content (OHC) Ocean Heat Uptake (OHU) remote sensing reconstruction

Community:

  • [ 1 ] [Su, Hua]Fuzhou Univ, Acad Digital China, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350108, Peoples R China
  • [ 2 ] [Wei, Yanan]Fuzhou Univ, Acad Digital China, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350108, Peoples R China
  • [ 3 ] [Lu, Wenfang]Sun Yat Sen Univ, Sch Marine Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China
  • [ 4 ] [Yan, Xiao-Hai]Univ Delaware, Coll Earth Ocean & Environm, Ctr Remote Sensing, Newark, DE 19716 USA
  • [ 5 ] [Zhang, Hongsheng]Univ Hong Kong, Dept Geog, Hong Kong 999077, Peoples R China

Reprint 's Address:

  • [Su, Hua]Fuzhou Univ, Acad Digital China, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350108, Peoples R China;;

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Source :

REMOTE SENSING

ISSN: 2072-4292

Year: 2023

Issue: 3

Volume: 15

4 . 2

JCR@2023

4 . 2 0 0

JCR@2023

ESI Discipline: GEOSCIENCES;

ESI HC Threshold:26

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 7

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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