Xudong Wang , Jiawei Liu , Renhe Zhang , Ying Zhang , Zhen-Qiang Zhou , Qiuchang Han
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On the interannual timescale, the first two EOF modes are remotely affected by antecedent and concurrent El Niño events, respectively. The ocean mixed layer budget is utilized for examining the formation of different summer MHW patterns. During the preceding spring, the surface heat flux is important for the development of MHWs, while the ocean advections play a secondary role in the South Indian Ocean for the MHW monopole. Once the SST anomaly rises in summer, the ocean advections play a dominant role in maintaining the SST. Last, we assess the prediction skill of summer TIO MHWs by performing a bilinear seasonal statistical prediction model. Our results suggest the frequency of summer MHWs in the TIO could be predicted one season in advance. 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引用次数: 0
摘要
海洋热浪(MHWs)是所有大洋盆地的极端海面温度(SST)事件,对海洋生态系统和社会经济影响深远。本研究探讨了热带印度洋(TIO)夏季 MHWs 的主导模式、趋势和年际变化。MHWs 频率的第一个经验正交函数(EOF)模式在整个海盆中呈现单极模式。该模式与同期印度洋海盆变暖高度相关,表明过去 40 年间印度洋海盆变暖趋势显著。MHW 特性的线性趋势在很大程度上与夏季印度洋平均海温的上升有关。第二个 EOF 模式表现为带状偶极子,MHW 数值在西部增加,在东部减少。在年际时间尺度上,前两个 EOF 模式分别受到前兆厄尔尼诺事件和同期厄尔尼诺事件的远程影响。海洋混合层预算用于研究不同夏季 MHW 模式的形成。在之前的春季,表层热通量对 MHW 的形成非常重要,而海洋平流在南印度洋的 MHW 单极中起次要作用。一旦夏季海温异常上升,海洋平流就会在维持海温方面发挥主导作用。最后,我们通过双线性季节统计预测模型评估了夏季 TIO MHW 的预测能力。我们的研究结果表明,可以提前一个季节预测 TIO 夏季 MHW 的频率。这项研究对了解和预测 TIO 的海洋极端事件具有重要意义。
Trend and interannual variability of summer marine heatwaves in the tropical Indian ocean: Patterns, mixed layer heat budget, and seasonal prediction
Marine heatwaves (MHWs) are extreme sea surface temperature (SST) events in all ocean basins, with far-reaching impacts on marine ecosystems and socio-economy. The leading patterns, trend, and interannual variability of summer MHWs in the tropical Indian Ocean (TIO) are investigated in this study. The first empirical orthogonal function (EOF) mode of frequency of MHWs exhibits a monopole pattern over the entire basin. This mode is highly associated with the concurrent Indian Ocean Basin warming, indicating a remarkable trend over the past four decades. The linear trend in MHW properties largely relates to increased summer Indian Ocean mean SST. The second EOF mode exhibits a zonal dipole with the MHW numbers increasing in the west and decreasing in the east. On the interannual timescale, the first two EOF modes are remotely affected by antecedent and concurrent El Niño events, respectively. The ocean mixed layer budget is utilized for examining the formation of different summer MHW patterns. During the preceding spring, the surface heat flux is important for the development of MHWs, while the ocean advections play a secondary role in the South Indian Ocean for the MHW monopole. Once the SST anomaly rises in summer, the ocean advections play a dominant role in maintaining the SST. Last, we assess the prediction skill of summer TIO MHWs by performing a bilinear seasonal statistical prediction model. Our results suggest the frequency of summer MHWs in the TIO could be predicted one season in advance. This study has great implications for understanding and predicting ocean extreme events in the TIO.
期刊介绍:
Weather and Climate Extremes
Target Audience:
Academics
Decision makers
International development agencies
Non-governmental organizations (NGOs)
Civil society
Focus Areas:
Research in weather and climate extremes
Monitoring and early warning systems
Assessment of vulnerability and impacts
Developing and implementing intervention policies
Effective risk management and adaptation practices
Engagement of local communities in adopting coping strategies
Information and communication strategies tailored to local and regional needs and circumstances