Scale dependence of tracer microstructure: PDFs, intermittency and the dissipation scale

Thestatisticsoftracervariabilityonsmallscales (< 200 km) is investigated using high resolution aircraft measurements of ozone in the northern winter middle/high latitudes. Conditioning based on potential temperature is used to isolate the statistics of lamentation on isentropic surfacesfromspuriousvariabilityduetocross-isentropicmo- tion of the platform. The distribution of isentropic incre- ments r in the tracer eld across a horizontal scale r have non-Gaussian tails and are consistent with stretched exponential functions of the form P(r)exp(-ajrj p ), where a is a scale-dependent parameter and the exponent p increases overall with r. A scale break in the second order structure function suggests a dissipation scale rd 20 km during northern winter 91-92, but the scale break is closer to 100 km during northern winter 88-89. Possible reasons for this are discussed.

[1]  F. Anselmet,et al.  Statistics of temperature increments in fully developed turbulence, part II: experiments , 1995 .

[2]  J. Bacmeister,et al.  Stratospheric horizontal wavenumber spectra of winds, potential temperature, and atmospheric tracers observed by high-altitude aircraft , 1996 .

[3]  E. Ching,et al.  Passive scalar conditional statistics in a model of random advection , 1997 .

[4]  Theodore G. Shepherd,et al.  Comments on some recent measurements of anomalously steep N2O and O3tracer spectra in the stratospheric surf zone , 1997 .

[5]  P. Haynes,et al.  The Vertical-Scale Cascade in Atmospheric Tracers due to Large-Scale Differential Advection , 1997 .

[6]  Darryn W. Waugh,et al.  Contour Advection with Surgery: A Technique for Investigating Finescale Structure in Tracer Transport , 1994 .

[7]  P. Haynes,et al.  Quantification of lower stratospheric mixing processes using aircraft data , 1997 .

[8]  Anthony B. Davis,et al.  Multifractal characterizations of nonstationarity and intermittency in geophysical fields: Observed, retrieved, or simulated , 1994 .

[9]  S. W. Bowen,et al.  Comparisons of the NASA ER-2 Meteorological Measurement System with Radar Tracking and Radiosonde Data , 1992 .

[10]  D. Cariolle,et al.  Filamentation and layering of an idealized tracer by observed winds in the lower stratosphere , 1995 .

[11]  Raymond T. Pierrehumbert Lattice models of advection-diffusion. , 2000, Chaos.

[12]  G. Vaughan,et al.  Lamination in ozone profiles in the lower stratosphere , 1991 .

[13]  J. Bronski,et al.  Rigorous Estimates of the Tails of the Probability Distribution Function for the Random Linear Shear Model , 1999 .

[14]  Adrian F. Tuck,et al.  Fractal behavior of ozone, wind and temperature in the lower stratosphere , 1999 .

[15]  D. Murphy Time offsets and power spectra of the ER-2 data set from the 1987 Airborne Antarctic Ozone Experiment , 1989 .

[16]  F. Anselmet,et al.  Statistics of temperature increments in fully developed turbulence, part I.: theory , 1994 .

[17]  Julio T. Bacmeister,et al.  Analysis of Intermittency in Aircraft Measurements of Velocity, Temperature and Atmospheric Tracers using Wavelet Transforms , 1997 .

[18]  R. Pierrehumbert,et al.  The advection-diffusion problem for stratospheric flow , 2000 .

[19]  A. Majda,et al.  SIMPLIFIED MODELS FOR TURBULENT DIFFUSION : THEORY, NUMERICAL MODELLING, AND PHYSICAL PHENOMENA , 1999 .

[20]  John Thuburn,et al.  A parameterization of mixdown time for atmospheric chemicals , 1997 .

[21]  A. Jaffe,et al.  Global Impact of the Antarctic Ozone Hole: Chemical Propagation , 1990 .