 |
| Titel |
The effect of scale on the applicability of Taylor's hypothesis |
| VerfasserIn |
Marc Parlange, Chad Higgins, Martin Froidevaux, Valentin Simeonov |
| Konferenz |
EGU General Assembly 2010
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 12 (2010) |
| Datensatznummer |
250039141
|
|
|
|
|
|
| Zusammenfassung |
| Taylor’s frozen flow hypothesis is a central assumption in most fluid
mechanics experiments with stationary sensors, and many statistical
theories of turbulence where links between the Lagrangian and Eulerian
nature of turbulence are made. In this work we seek to quantify the
effectiveness of Taylor’s hypothesis at the field scale using water
vapor as a passive tracer. A horizontal Raman Lidar is used to
capture the humidity field in space and time above a small lake in
Switzerland. High resolution wind speed and direction measurements
are conducted simultaneously allowing for a direct test of Taylor’s
hypothesis. Through a wavelet decomposition of the data we show that
scale has a strong influence on the applicability of Taylor’s
hypothesis. This effect is explained through the use of dimensional
analysis and turbulent structure functions, which ultimately leads to
the definition of a nondimensional parameter describing the
‘persistency’ of the turbulence. |
|
|
|
|
|
|