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11.7: Frozen - The Taylor Hypothesis

  • Page ID
    3421
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    We would like to be able to take snapshots of the eddies in three dimensions and measure all their sizes each instant. Unfortunately, we do not have a good way to do this. Instead, we can simply measure the fluctuations of a variable such as wind speed, specific humidity, or temperature with a sensor at one location for a period of time. In this way, we watch the eddies drift by the sensor. But the eddies could be changing size and shape as they drift by the sensor. Let’s put this physical concept in the context of the total derivative.

    Take a variable like temperature, T. We know that the change in T with time at any location (such as where a sensor might be placed) is the sum of the total derivative and the temperature advection:

    \[\frac{\partial T}{\partial t}=\frac{D T}{D t}-\vec{U} \cdot \vec{\nabla} T\]

    The temperature advection is the change in temperature at the sensor due to the advection of warmer or colder air past the sensor. The total derivative is the change in temperature of an air parcel moving past the sensor. Such a temperature change may be caused by any number of processes, such as the absorption or emission of radiation, condensation or evaporation (latent heating or cooling), or compression and expansion. Taylor’s hypothesis says that we can assume that the turbulent eddies (which we can think of as large air parcels) are frozen as they advect past the sensor and thus the change in temperature within each eddy is negligible:

    \[\frac{D T}{D t} \sim 0\]

    so that:

    \[\frac{\partial T}{\partial t}=-\vec{U} \cdot \vec{\nabla} T\]

    Local temperature gradients, which might be present from one side of an eddy to another, are advected across the sensor by the mean wind without the eddy changing.

    When is this condition valid? Experiments suggest that this hypothesis is valid when the variation of the wind speed due to turbulence is less than ½ of the mean wind speed.

    We start this study with methods to separate wind motion driven by larger scale processes, such as gradient flow or geostrophic flow, from turbulence.

    屏幕快照 2019-10-18 下午7.57.56.png
    Anemometers. A cup anemometer and wind vane are on the left. A sonic anemometer, which uses sound to measure vertical as well as horizontal winds more than ten times a second, is on the right. You may have seen sonic anemometers at state weather stations along highways. Sonic anemometers are so fast that they are great for measuring turbulence and turbulent transport. Credit: Department of Energy Atmospheric Radiation Measurement Carbon Program

    This page titled 11.7: Frozen - The Taylor Hypothesis is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by William Brune (John A. Dutton: e-Education Institute) via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.