The spatiotemporal characteristics and driving mechanisms of subsurface marine heatwaves in the Xisha Region DOI Creative Commons
Feng Gao, Cong Liu, Fangguo Zhai

et al.

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11

Published: May 23, 2024

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

Language: Английский

Global Variability and Future Projections of Marine Heatwave Onset and Decline Rates DOI Creative Commons

Yingping Pan,

Wenjin Sun, Senliang Bao

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1362 - 1362

Published: April 11, 2025

Marine heatwaves (MHWs) can significantly impact marine ecosystems and socio-economic systems, their severity may increase with global warming. Nevertheless, research on the onset decline rates of MHWs remains limited, historical future variations are not yet fully understood. This study, therefore, analyzes spatiotemporal characteristics MHW by using sea surface temperature data from OISSTv2.1 CMIP6. The results indicate that during period 1982 to 2014, were higher in eddy-active mid-latitude current systems western tropical region but lower subtropical gyres. A remarkably high correlation (0.94) exists between rates; regions also tend have rates. Approximately 49.69% ocean exhibits an increasing trend rates, significant increases observed Eastern Equatorial Pacific. Meanwhile, 92.87% oceanic exhibit Looking ahead (2015~2100), both SSP245 SSP585 scenarios display consistent spatial patterns Kuroshio-Oyashio Extension, Gulf Stream, Antarctic Circumpolar Current, Brazil-Malvinas Confluence relatively Under scenario, than those under scenario. indicates as warming intensifies, more extreme likely occur. finding it is necessary pay attention rate when mitigating its potential impacts.

Language: Английский

Citations

0
Future projection of marine heatwaves in a global marine hotspot: case of East/Japan sea DOI

Danushka Deegala,

‪Eun‐Sung Chung

Climate Dynamics, Journal Year: 2025, Volume and Issue: 63(4)

Published: April 1, 2025

Language: Английский

Citations

0
Projected Changes in Southeast Asian Sea Surface Characteristics Using CMIP6 GCMs DOI

Obaidullah Salehie,

Mohamad Hidayat Jamal,

Zulhilmi Ismail

et al.

Earth Systems and Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 3, 2024

Language: Английский

Citations

0
The spatiotemporal characteristics and driving mechanisms of subsurface marine heatwaves in the Xisha Region DOI Creative Commons
Feng Gao, Cong Liu, Fangguo Zhai

et al.

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11

Published: May 23, 2024

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

Language: Английский

Citations

0