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ORIGINAL RESEARCH article

Front. Mar. Sci.
Sec. Physical Oceanography
Volume 11 - 2024 | doi: 10.3389/fmars.2024.1399096

The Spatiotemporal Characteristics and Driving Mechanisms of Subsurface Marine Heatwaves in the Xisha Region Provisionally Accepted

  • 1Zhejiang University, China
  • 2Hainan Institute, Zhejiang University, China
  • 3Ocean University of China, China

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Under the background of global climate change, Subsurface Marine Heatwaves (SSMHWs) have become a 'hot-spot' research due to their significant impacts on marine ecosystems.Temperature data from the ECCO2 for the years 1992 to 2021 is used to research the spatiotemporal characteristics of SSMHWs in the upper 500 m over the Xisha region (110°E to 113°E, 15°N to 18°N). This study indicates that SSMHWs of high intensity occur in the Xisha area, with the vertical maximum intensity at approximately 100 m. These events exhibit significant seasonal variations annually, with the highest intensity occurring in May. The intensity of SSMHW in the analysis region varies interannually. SSMHWs have intensified at a rate of 1.53°C•Days/Year and tend to shift to deeper water over the past three decades. A block-based method for SSMHW identification is proposed, in order to take the vertical extent of the event in consideration. By analyzing the eight most intense events based on spatial cumulative intensity, it suggested that warm mesoscale eddies may play an important role on the spatial distribution of the SSMHWs. Statistical analysis shows that the intensity and coverage of the warm mesoscale eddy in the Xisha zone may influence the intensity and evolution of the SSMHWs. Additionally, only 18.27% of SSMHW events occur with apparent surface marine heatwave signals. These findings are vital for uncovering SSMHW dynamics in the Xisha area, and are important for future monitoring, early warnings and marine conservation.

Keywords: Subsurface Marine heatwave, mesoscale eddy, The xisha islands, Spatiotemporal characteristics, Mechanism analysis

Received: 11 Mar 2024; Accepted: 30 Apr 2024.

Copyright: © 2024 Gao, Liu, Zhai, Song, Li and Gu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Dr. Cong Liu, Hainan Institute, Zhejiang University, Sanya, 572025, Hainan Province, China
Prof. Yanzhen Gu, Zhejiang University, Hangzhou, China