Aircraft observations of boundary layer turbulence: Intermittency and the cascade of energy and passive scalar variance

We analyze boundary layer velocity and temperature measurements acquired by aircraft at 22 Hz. The calculated longitudinal velocity third-order structure function yields approximate agreement with Kolmogorov's four-fifths law for the scale range ∼10–100 m with a downscale energy flux of ∼4×10⁻⁵...

Full description

Bibliographic Details
Main Authors: Cho, John Y. N., Anderson, Bruce E., Barrick, John D. W., Thornhill, K. Lee
Other Authors: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Format: Article
Language:en_US
Published: American Geophysical Union (AGU) 2017
Online Access:http://hdl.handle.net/1721.1/110979
_version_ 1826198379961516032
author Cho, John Y. N.
Anderson, Bruce E.
Barrick, John D. W.
Thornhill, K. Lee
author2 Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
author_facet Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Cho, John Y. N.
Anderson, Bruce E.
Barrick, John D. W.
Thornhill, K. Lee
author_sort Cho, John Y. N.
collection MIT
description We analyze boundary layer velocity and temperature measurements acquired by aircraft at 22 Hz. The calculated longitudinal velocity third-order structure function yields approximate agreement with Kolmogorov's four-fifths law for the scale range ∼10–100 m with a downscale energy flux of ∼4×10⁻⁵ m² s⁻³. For scales greater than ∼10 km the sign is reversed, implying an inverse energy cascade with an estimated flux of ∼10⁻⁵ m⁻² s⁻³ associated with two-dimensional stratified turbulence. The mixed structure function of longitudinal velocity and squared temperature increment follows Yaglom's four-thirds law in the same scale range, yielding an estimated downscale temperature variance flux of ∼5×10⁻⁷ K² s⁻¹. Analysis of higher-order structure functions yields anomalous scaling for both velocity and temperature. The scaling also reveals second-order multifractal phase transitions for both velocity and temperature data. Above the transition moments, asymptotes varying with the number of realizations argue against the log-Poisson model. The log-Levy model is better able to explain the observed characteristics.
first_indexed 2024-09-23T11:03:57Z
format Article
id mit-1721.1/110979
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T11:03:57Z
publishDate 2017
publisher American Geophysical Union (AGU)
record_format dspace
spelling mit-1721.1/1109792022-10-01T00:57:08Z Aircraft observations of boundary layer turbulence: Intermittency and the cascade of energy and passive scalar variance Cho, John Y. N. Anderson, Bruce E. Barrick, John D. W. Thornhill, K. Lee Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Cho, John Y. N. Cho, John Y. N. We analyze boundary layer velocity and temperature measurements acquired by aircraft at 22 Hz. The calculated longitudinal velocity third-order structure function yields approximate agreement with Kolmogorov's four-fifths law for the scale range ∼10–100 m with a downscale energy flux of ∼4×10⁻⁵ m² s⁻³. For scales greater than ∼10 km the sign is reversed, implying an inverse energy cascade with an estimated flux of ∼10⁻⁵ m⁻² s⁻³ associated with two-dimensional stratified turbulence. The mixed structure function of longitudinal velocity and squared temperature increment follows Yaglom's four-thirds law in the same scale range, yielding an estimated downscale temperature variance flux of ∼5×10⁻⁷ K² s⁻¹. Analysis of higher-order structure functions yields anomalous scaling for both velocity and temperature. The scaling also reveals second-order multifractal phase transitions for both velocity and temperature data. Above the transition moments, asymptotes varying with the number of realizations argue against the log-Poisson model. The log-Levy model is better able to explain the observed characteristics. United States. National Aeronautics and Space Administration (Grant NAG1-2173) 2017-08-18T15:20:47Z 2017-08-18T15:20:47Z 2001-12 2000-08 Article http://purl.org/eprint/type/JournalArticle 2169-8996 2169-897X http://hdl.handle.net/1721.1/110979 Cho, John Y. N. et al. “Aircraft Observations of Boundary Layer Turbulence: Intermittency and the Cascade of Energy and Passive Scalar Variance.” Journal of Geophysical Research: Atmospheres 106, D23 (December 2001): 32469–32479 © 2001 American Geophysical Union en_US http://dx.doi.org/10.1029/2001JD900079 Journal of Geophysical Research: Atmospheres Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Geophysical Union (AGU) Cho
spellingShingle Cho, John Y. N.
Anderson, Bruce E.
Barrick, John D. W.
Thornhill, K. Lee
Aircraft observations of boundary layer turbulence: Intermittency and the cascade of energy and passive scalar variance
title Aircraft observations of boundary layer turbulence: Intermittency and the cascade of energy and passive scalar variance
title_full Aircraft observations of boundary layer turbulence: Intermittency and the cascade of energy and passive scalar variance
title_fullStr Aircraft observations of boundary layer turbulence: Intermittency and the cascade of energy and passive scalar variance
title_full_unstemmed Aircraft observations of boundary layer turbulence: Intermittency and the cascade of energy and passive scalar variance
title_short Aircraft observations of boundary layer turbulence: Intermittency and the cascade of energy and passive scalar variance
title_sort aircraft observations of boundary layer turbulence intermittency and the cascade of energy and passive scalar variance
url http://hdl.handle.net/1721.1/110979
work_keys_str_mv AT chojohnyn aircraftobservationsofboundarylayerturbulenceintermittencyandthecascadeofenergyandpassivescalarvariance
AT andersonbrucee aircraftobservationsofboundarylayerturbulenceintermittencyandthecascadeofenergyandpassivescalarvariance
AT barrickjohndw aircraftobservationsofboundarylayerturbulenceintermittencyandthecascadeofenergyandpassivescalarvariance
AT thornhillklee aircraftobservationsofboundarylayerturbulenceintermittencyandthecascadeofenergyandpassivescalarvariance