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Session 2: Spatial/temporal turbulence

机译:第二部分:时空湍流

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摘要

Several recent tests with HF radars, closely packed drifters, and closely spaced ADCPs, have revealed a sub grid-scale spatial variability near the surface that disappears with depth. This impacts interpretation and measurement of instrument accuracy. For example, RMS difference of velocity between two sensors is not simply a measure of instrument error. Can such measurements of spatial turbulence be extended to temporal? What are the spatial and temporal scales? How do these vary with location, and with known physical processes? Are these measurements useful in their own right, in addition to defining better how to assess sensor accuracy?
机译:最近对HF雷达,紧密排列的漂移器和紧密间隔的ADCP进行的几项测试表明,地表附近的亚网格尺度空间变异性随深度而消失。这会影响仪器精度的解释和测量。例如,两个传感器之间的RMS速度差不仅仅是测量仪器误差的方法。这样的空间湍流测量可以扩展到时间上吗?什么是时空尺度?这些随位置和已知物理过程如何变化?除了更好地定义如何评估传感器准确性之外,这些测量本身是否有用?

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