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首页> 外文期刊>Journal of Physical Oceanography >Spatial Variations of Stirring in the Surface Ocean: A Case Study of the Tasman Sea
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Spatial Variations of Stirring in the Surface Ocean: A Case Study of the Tasman Sea

机译:表层海洋中搅拌的空间变化:以塔斯曼海为例

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Stirring in the Tasman Sea is examined using surface geostrophic currents derived from satellite altimeter measurements. Calculations of the distribution of finite-time Lyapunov exponents (FTLEs) indicate that the stirring in this region is not uniform and stretching rates over 15 days vary from less than 0.02 day~(-1) to over 0.3 day~(-1). These variations occur at both small (~10 km) and large (~1000 km) scales and in both cases are linked to dynamical features of the flow. The small-scale variations are related to the characteristics of coherent vortex structures, and there are low FTLEs inside vortices and filaments of high FTLEs in strain-dominated regions surrounding these vortices. Regional variations in the stirring are closely related to variations in mesoscale activity and eddy kinetic energy (EKE). High values of mean FTLE occur in regions of high EKE (highest mean values of around 0.2 day~(-1) occur in the East Australia Current separation region) whereas small values occur in regions with low EKE (mean values around 0.03 day~(-1) in the east Tasman Sea). There is a compact relationship between the mean FTLEs and EKE, raising the possibility of using the easily calculated EKE to estimate the stirring. This possibility is even more intriguing because the FTLE distributions can be approximated, for the time scales considered here, by Weibull distributions with shape parameter equal to 1.6, which can be defined from the mean value alone.
机译:使用从卫星高度计测量得出的地表地转流来检查塔斯曼海的搅拌。有限时间李雅普诺夫指数(FTLE)分布的计算表明,该区域的搅拌不均匀,并且15天的拉伸速率从小于0.02天〜(-1)到超过0.3天〜(-1)不等。这些变化在小(〜10 km)和大(〜1000 km)尺度上都发生,并且在两种情况下都与流动的动力学特征有关。小尺度变化与相干涡结构的特征有关,并且在涡内部有低FTLE,在围绕这些涡的应变主导区域中有高FTLE的细丝。搅拌中的区域变化与中尺度活性和涡动能(EKE)的变化密切相关。平均FTLE值较高的地区发生在EKE较高的地区(最高平均值约为0.2天〜(-1)发生在东澳大利亚洋流隔离区),而较小的数值发生在那些EKE较低的地区(均值约为0.03天〜( -1)在塔斯曼海东部)。平均FTLE和EKE之间存在紧密的关系,从而增加了使用易于计算的EKE估算搅拌的可能性。这种可能性更加引人入胜,因为对于此处考虑的时间尺度,FTLE分布可以通过形状参数等于1.6的Weibull分布进行近似,而Weibull分布可以仅通过平均值进行定义。

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