Long-term ocean temperature trend and marine heatwaves

Min ZHANG; Yangyan CHENG; Gang WANG; Qi SHU; Chang ZHAO; Yuanling ZHANG; Fangli QIAO

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Long-term ocean temperature trend and marine heatwaves

Physics | Updated：2024-10-11

- Long-term ocean temperature trend and marine heatwaves
- Long-term ocean temperature trend and marine heatwaves
- 海洋湖沼学报(英文) 2024年42卷第4期页码：1037-1047
- Affiliations：
  
  1.First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
  2.Key Laboratory of Marine Sciences and Numerical Modelling, Ministry of Natural Resources, Qingdao 266061, China
  3.Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China
- Author bio：
  
  qiaofl@fio.org.cn
- Funds：
  
  the National Natural Science Foundation of China(41821004;42276025);the Natural Science Foundation of Shandong Province(ZR2021MD027);the National Key Research and Development Program of China(2022YFE0140500);the Project of “Development of China-ASEAN blue partnership” started in 2021. This work is a contribution to the UN Decade of Ocean Science for Sustainable Development (2021‍‍‍–‍2030) through both the Decade Collaborative Centre on Ocean-Climate nexus and Coordination amongst decade implementing partners in China (DCC-OCC) and the approved Ocean to Climate Seamless Forecasting System Program (OSF)
- DOI：
  中图分类号：
- 收稿：2023-08-17，
  
  网络首发：2023-11-27，
  
  纸质出版：2024-07-01
- Accepted：
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Long-term ocean temperature trend and marine heatwaves[J]. 海洋湖沼学报(英文), 2024,42(4):1037-1047.

ZHANG Min,CHENG Yangyan,WANG Gang,et al.Long-term ocean temperature trend and marine heatwaves[J].Journal of Oceanology and Limnology,2024,42(04):1037-1047.
Long-term ocean temperature trend and marine heatwaves[J]. 海洋湖沼学报(英文), 2024,42(4):1037-1047. DOI：

ZHANG Min,CHENG Yangyan,WANG Gang,et al.Long-term ocean temperature trend and marine heatwaves[J].Journal of Oceanology and Limnology,2024,42(04):1037-1047. DOI：

摘要

Abstract

Marine heatwaves (MHWs) can cause irreversible damage to marine ecosystems and livelihoods. Appropriate MHW characterization remains difficult

because the choice of a sea surface temperature (SST) temporal baseline strongly influences MHW identification. Following a recent work suggesting that there should be a communicating baseline for long-term ocean temperature trends (LTT) and MHWs

we provided an effective and quantitative solution to calculate LTT and MHWs simultaneously by using the ensemble empirical mode decomposition (EEMD) method. The long-term nonlinear trend of SST obtained by EEMD shows superiority over the traditional linear trend in that the data extension does not alter prior results. The MHWs identified from the detrended SST data exhibited low sensitivity to the baseline choice

demonstrating the robustness of our method. We also derived the total heat exposure (THE) by combining LTT and MHWs. The THE was sensitive to the fixed-period baseline choice

with a response to increasing SST that depended on the onset time of a perpetual MHW state (identified MHW days equal to the year length). Subtropical areas

the Indian Ocean

and part of the Southern Ocean were most sensitive to the long-term global warming trend.

关键词

Keywords

references

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