Estimates of Ocean Macroturbulence: Structure Function and Spectral Slope from Argo Profiling Floats
Estimates of Ocean Macroturbulence: Structure Function and Spectral Slope from Argo Profiling Floats
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DOI：
10.1175/jpo-d-14-0023.1
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发表时间：
2015-07
影响因子：
3.5
通讯作者：
K. McCaffrey;B. Fox‐Kemper;G. Forget
中科院分区：
文献类型：
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作者：
K. McCaffrey;B. Fox‐Kemper;G. Forget
Argo剖面浮标网络多次对世界海洋的大部分区域进行采样。本研究利用Argo温盐资料建立了大尺度（10-1000 km、中尺度及以上）海洋变率的示踪结构函数。在这里，二阶温度和盐度结构函数的水平分离计算沿沿着压力或潜在的密度表面，这使得主动和被动示踪剂结构功能的分析。使用Argo数据，根据气候平均值和每个数据创建全球方差图。当湍流是均匀的，结构函数的斜率从Argo可以相关的波数谱斜率在海洋温度或盐度的变化。Argo数据的结构函数技术的这第一个应用程序给出了物理上有意义的结果的基础上自举的置信区间，显示地理结构函数的依赖性，平均斜率接近100，独立于深度。
AbstractThe Argo profiling float network has repeatedly sampled much of the World Ocean. This study uses Argo temperature and salinity data to form the tracer structure function of ocean variability at the macroscale (10–1000 km, mesoscale and above). Here, second-order temperature and salinity structure functions over horizontal separations are calculated along either pressure or potential density surfaces, which allows analysis of both active and passive tracer structure functions. Using Argo data, a map of global variance is created from the climatological average and each datum. When turbulence is homogeneous, the structure function slope from Argo can be related to the wavenumber spectrum slope in ocean temperature or salinity variability. This first application of structure function techniques to Argo data gives physically meaningful results based on bootstrapped confidence intervals, showing geographical dependence of the structure functions with slopes near ⅔ on average, independent of depth.