Eddy Diffusivities for Momentum and Heat in the Upper Troposphere and Lower Stratosphere Measured by MU Radar and RASS, and a Comparison of Turbulence Model Predictions

Author:

Ueda Hiromasa1,Fukui Tetsuo2,Kajino Mizuo3,Horiguchi Mitsuaki4,Hashiguchi Hiroyuki5,Fukao Shoichiro5

Affiliation:

1. Department of Environmental and Life Engineering, Toyohashi Institute of Technology, Toyohashi, Japan

2. Institute of Behavioral Sciences, Shinjuku, Tokyo, Japan

3. Meteorological Research Institute, Tsukuba, Ibaraki, Japan

4. Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan

5. Research Institute for Sustainable Humanosphere, Kyoto University, Kyoto, Japan

Abstract

Abstract Recently, middle- and upper-atmosphere Doppler radar (MU radar) has enabled the measurement of middle-atmosphere turbulence from radar backscatter Doppler spectra. In this work, eddy diffusivities for momentum Km in the upper troposphere and lower stratosphere during clear-air conditions were derived from direct measurements of the Reynolds stress and vertical gradient of mean wind velocity measured by MU radar. Eddy diffusivity for heat Kh below 8 km was determined from measurements of temperature fluctuations by the Radio Acoustic Sounding System (RASS) attached to the MU radar. The eddy diffusivity for momentum was on the order of 10 m2 s−1 in the upper troposphere and decreased gradually in the stratosphere by an order of magnitude or more. The eddy diffusivity for heat was almost of the same order of magnitude as Km. Estimates of eddy diffusivity from the radar echo power spectral width give fairly good values compared with the direct measurement of Km. Applicability of three turbulence models—the spectral width method, the k–ɛ model modified for stratified flows, and the algebraic stress model—were also examined, using radar observation values of turbulent kinetic energy k and turbulent energy dissipation rate ɛ together with atmospheric stability observations from rawinsonde data. It is concluded that the algebraic stress model shows the best fit with the direct measurement of Km, even in the free atmosphere above the atmospheric boundary layer once k and ɛ values are obtained from observations or a model.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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