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Processes of 30-90 days sea surface temperature variability in the northern Indian Ocean during boreal summer

机译:北方夏季北印度洋海表温度变化30-90天的过程

摘要

During summer, the northern Indian Ocean exhibits significant atmospheric intraseasonal variability associated with active and break phases of the monsoon in the 30-90 days band. In this paper, we investigate mechanisms of the Sea Surface Temperature (SST) signature of this atmospheric variability, using a combination of observational datasets and Ocean General Circulation Model sensitivity experiments. In addition to the previously-reported intraseasonal SST signature in the Bay of Bengal, observations show clear SST signals in the Arabian Sea related to the active/break cycle of the monsoon. As the atmospheric intraseasonal oscillation moves northward, SST variations appear first at the southern tip of India (day 0), then in the Somali upwelling region (day 10), northern Bay of Bengal (day 19) and finally in the Oman upwelling region (day 23). The Bay of Bengal and Oman signals are most clearly associated with the monsoon active/break index, whereas the relationship with signals near Somali upwelling and the southern tip of India is weaker. In agreement with previous studies, we find that heat flux variations drive most of the intraseasonal SST variability in the Bay of Bengal, both in our model (regression coefficient, 0.9, against similar to 0.25 for wind stress) and in observations (0.8 regression coefficient); similar to 60% of the heat flux variation is due do shortwave radiation and similar to 40% due to latent heat flux. On the other hand, both observations and model results indicate a prominent role of dynamical oceanic processes in the Arabian Sea. Wind-stress variations force about 70-100% of SST intraseasonal variations in the Arabian Sea, through modulation of oceanic processes (entrainment, mixing, Ekman pumping, lateral advection). Our similar to 100 km resolution model suggests that internal oceanic variability (i.e. eddies) contributes substantially to intraseasonal variability at small-scale in the Somali upwelling region, but does not contribute to large-scale intraseasonal SST variability due to its small spatial scale and random phase relation to the active-break monsoon cycle. The effect of oceanic eddies; however, remains to be explored at a higher spatial resolution.
机译:在夏季,印度洋北部在30-90天波段内表现出明显的大气季节内变化,与季风的活跃期和断裂期有关。在本文中,我们结合观测数据集和海洋总环流模型敏感性实验,研究了这种大气变化的海表温度(SST)特征的机制。除了先前在孟加拉湾报告的季节内海表温度信号外,观测还显示阿拉伯海中明显的海表温度信号与季风的活动/中断周期有关。随着大气季节内振荡向北移动,海表温度变化首先出现在印度的南端(第0天),然后出现在索马里上升区(第10天),孟加拉湾北部(第19天),最后出现在阿曼上升区(第23天)。孟加拉湾和阿曼的信号与季风活动/中断指数最明显相关,而与索马里上升流附近和印度南端的信号之间的关系较弱。与先前的研究一致,我们发现在我们的模型(回归系数为0.9,风应力为0.25左右)和观测值(回归系数为0.8)中,热通量变化驱动了孟加拉湾的大部分季节内SST变异性。 );短波辐射引起的热通量变化接近60%,而潜热通量的热变化约40%。另一方面,观测结果和模型结果均表明阿拉伯海动力海洋过程的重要作用。通过调节海洋过程(夹带,混合,埃克曼抽水,横向对流),风应力变化迫使阿拉伯海的海表温度季节内变化约占70-100%。我们类似于100 km的分辨率模型表明,内部海洋变化(即涡旋)对索马里上升区小范围的季节内变化有实质性的贡献,但由于其空间尺度小且随机性,对大规模的季节内SST的变化无贡献主动中断季风周期的相位关系。海洋涡流的影响;但是,仍然需要以更高的空间分辨率进行探索。

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