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
- Journal of Oceanology and Limnology Vol. 42, Issue 4, Pages: 1037-1047(2024)
- 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：
- DOI：
  CLC：
- Received：17 August 2023，
  
  Online First：27 November 2023，
  
  Published：01 July 2024
- Accepted：
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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：

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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