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Session FR - Atmospheric Dynamics.
ORAL session, Monday morning, November 24
Conference Center A/B, SMH

[FR.001] Oceanic Boundary Layers Driven by Wave Breaking: DNS

Peter P. Sullivan (NCAR, Boulder CO 80307-3000), James C. McWilliams (Atmos. amp; Oceanic Sci. amp; IGPP, UCLA, Los Angeles, CA 90095), W. Kendall Melville (SIO, UCSD, La Jolla, CA 92093-0213)

Laboratory and field data suggest that wave breaking plays a significant role in supporting turbulent fluxes in the surface layers of the oceans. The full DNS of these flows is beyond present computer resources and we seek models that represent only the essential kinematics and dynamics of breaking. Here we report on the DNS of a breaker model and its use as the basic element in a stochastic representation of breaking in surface boundary layers. Breaking is simulated by a Froude-scaled body-force in a self-similar volume of the fluid that evolves in space and time. The DNS shows good agreement with laboratory data for the ensemble-averaged kinetic energy and vorticity due to a single breaker. A comparison of different boundary layers driven by constant current, constant surface stress, or a mixture of surface stress plus breaking, elucidates the importance of breaking. Analysis of the mean velocity profiles shows that breaking may increase the surface roughness, z_o, by more than a factor of 30; here z_o/\lambda \approx 0.04-0.06, where \lambda is the breaking wavelength. Breaking alters the usual balance of production \approx dissipation in the TKE budget, with turbulent and pressure transports and breaker work being important sources and sinks of TKE.

[FR.002] Optimized Sensor Placement for Urban Flow Measurements

Paritosh Mokhasi, Dietmar Rempfer (Illinois Institute of Technology)

We are interested in modeling the transport of contaminants in the atmospheric boundary layer, in complex geometries as in urban flow problems. One of our goals is to predict contaminant dispersion based on flow and concentration measurements using a minimum number of sensors. Since atmospheric flows are almost always turbulent, a direct approach would require a prohibitive number of sensors to resolve the important scales.

The Proper Orthogonal Decomposition (POD) method provides an alternative method to describe a turbulent flow using a minimum amount of information. It allows us to decompose the flow field into temporal coefficients and spatial functions. If the temporal coefficients are obtained at a given instant of time, then, in principle, it is possible to reconstruct the entire three-dimensional flow field exactly. A method has been developed that makes it possible to approximately compute these temporal coefficients from instantaneous velocity data taken at only a few locations simultaneously. Using the information of the spatial functions at the specified locations, a set of simultaneous equations are developed, which can be solved for the temporal coefficients. A quantitative comparison of the computed coefficients and the original coefficients shows that this method provides an accurate approximation of the temporal coefficients. Based on this method it will be possible to develop a practical approach of estimating the three-dimensional turbulent flow field using velocity information from a small number of sensors.

[FR.003] A Laboratory Study of Slope Flows Dynamics

ANDREA CAPRIATI, ANTONIO CENEDESE, PAOLO MONTI (DITS. Universita' degli Studi "La Sapienza". Roma. Italia)

Slope flows currents can contribute significantly in the diurnal circulation and air quality of complex terrain regions (mountains, valleys, etc.). During the daytime, solar heating warms the valley sides, causing up-slope (or anabatic) winds. In contrast, radiative cooling of the valley sides results in cold down-slope (drainage or katabatic) flows, characterized by small vertical extensions (usually 10-200 m) and with the typical features of dense gravity currents. In this paper, some preliminary results on slope flows obtained by means of a series of experiments conducted in the laboratory using a temperature controlled water tank are shown. Rakes of thermocouples are used to determine the temperature structure and particle tracking velocimetry is used for the velocity measurements. A simple slope consisting of a plate in which the temperature is forced via a set of Peltier Cells is used. The analysis is performed considering different slope angles, background thermal stratifications and surface heat fluxes as well. Comparisons with theoretical and empirical laws found in literature are reported.

[FR.004] On the Uniqueness of Lagrangian Stochastic Model in Self-Similar Boundary Layer

Byung-Gu Kim, Changhoon Lee (Yonsei University, Seoul, Korea)

Thomson's well-mixed condition is a well-known criterion to construct Lagrangian stochastic dispersion models. But it cannot prescribe a unique model in larger than one-dimensional problem. Another quantity called spin which represents rotational property of particle trajectory was introduced to partially alleviate this nonuniqueness problem. In order to resolve this we take a totally different path by adopting a Lagrangian turbulence model known as the Generalized Langevin Model. Under the assumption that the Reynolds stresses are homogeneous in neutral turbulent boundary layer, the model constants are expressed in terms of the Kolmogorov constant C_0 and another constant \gamma _5 which controls the spin. Data from directly simulated channel flow is used to determine \gamma _5. More importantly, we found that all models including Thomson's, Borgas', Reynolds', Kurbanmuradov and Sabelfield's and our models are equivalent to each other provided that the spin parameter is adjusted properly in self-similar boundary layer. Some of original versions of their models have wrong sign of the spin.

[FR.005] Spectral Features of Atmospheric Surface Layer Flow Over an Aligned Array of Obstacles

Matthew Nelson, Eric Pardyjak, Joseph Klewicki (University of Utah)

Three component velocity fluctuation measurements were acquired with an array of sonic anemometers in and above the MUST (Mock Urban Setting Test) array. The MUST array consisted of a 10 by 12 aligned array of rectangular obstacles each with the dimensions of 12.2 m x 2.42 m x 2.54 m in Utah’s West Desert. To obtain statistically robust results the data were sorted based on their consistency of wind direction and measures of statistical convergence. To reduce the sensitivity to the specific geometry of the obstacle array, results will focus on oblique wind angles. Two primary large scale influences were explored. The vortex shedding off of the regular array of obstacles imposes length and time scales that are shown to cause a peak in the turbulent energy spectra. Under thermally stable conditions the Brunt-Vaisala frequency is evident as an additional peak in the spectra. Discussion will focus on the relative location of these spectral peaks as well as possible interactions between them.

[FR.006] Structural Stability of Turbulent Jets

Brian Farrell (Harvard University), Petros Ioannou (University of Athens)

Turbulence in fluids is commonly observed to coexist with relatively large spatial and temporal scale coherent jets. These jets may be steady, vacillate with a definite period, or be irregular. A comprehensive theory for this phenomenon is presented based on the mutual interaction between the coherent jet and the turbulent eddies. When a sufficient number of statistically independent realizations of the eddy field participate in organizing the jet a simplified asymptotic dynamics emerges with progression, as an order parameter such as the eddy forcing is increased, from a stable fixed point associated with a steady symmetric zonal jet through a pitchfork bifurcation to a stable asymmetric jet followed by a Hopf bifurcation to a stable limit cycle associated with a regularly vacillating jet and finally a transition to chaos. This underlying asymptotic dynamics emerges when a sufficient number of ensemble members is retained in the stochastic forcing of the jet but qualitative different mean jet dynamics is found when a small number of ensemble members is retained as is appropriate for many physical systems. Example applications of this theory are presented including a model of midlatitude jet vacillation, emergence and maintenance of multiple jets in turbulent flow, a model of rapid reorganization of storm tracks as a threshold in radiative forcing is passed, and a model of the quasi-biennial oscillation. Because the statistically coupled wave/mean flow system discussed is generally globally stable this system also forms the basis for a comprehensive theory for equilibration of unstable jets in turbulent shear flow.

[FR.007] The generation of a zonal-wind oscillation by nonlinear interactions of internal gravity waves

Lucy Campbell (Carleton University, Ottawa, Canada)

Nonlinear interactions of internal gravity waves give rise to numerous large-scale phenomena that are observed in the atmosphere, for example the quasi-biennial oscillation (QBO). This is an oscillation in zonal wind direction which is observed in the equatorial stratosphere; it is characterized by alternating regimes of easterly and westerly shear that descend with time. In the past few decades, a number of theories have been developed to explain the mechanism by which the QBO is generated. These theories are all based on ``quasi-linear'' representations of wave-mean-flow interactions. In this presentation, a fully nonlinear numerical simulation of the QBO is described. A spectrum of gravity waves over a range of phase speeds is forced at the lower boundary of the computational domain and propagates upwards in a density-stratified shear flow. As a result of the absorption and reflection of the waves at their critical levels, regions of large shear develop in the background flow and propagate downwards with time.

[FR.008] Contrail evolution in the atmosphere

Roberto Paoli (Center for Turbulence Research, Stanford University), Karim Shariff, Nagi Mansour (NASA Ames Research Center)

The persistence of condensation trails, "contrails", in the far-field of an aircraft wake is numerically analyzed. Contrails are ice clouds formed by condensation of exhaust water vapor in a cold atmosphere. Their evolution and persistence are controlled by the wake dynamics, atmospheric turbulence, as well as by background water vapor content. Under suitable atmospheric conditions, they may trigger the formation of cirrus clouds, thus having a potential climate impact on regional/global scales. The object of the present study is to reproduce the contrail evolution numerically in intermediate scales (between aircraft- and atmosphere- scales) where exhaust mixing and clouds microphysics are expected to control their dynamics and, eventually, their transition to cirrus clouds. The simulations are carried out using a two-phase approach to deal with both gas and ice phases. Large eddy simulations are used for the gas phase while a Lagrangian particles tracking approach is used for ice crystals. Mass transfer between the two phases is used to account for vapor condensation, by employing available ice microphysics models. Besides the physical description of the phenomenon, the results may be useful for "calibrating" source terms, representative of the environmental impact of aircraft-generated emissions, in global climate codes.

[FR.009] Decay of turbulence during evening transition

Eric Pardyjak (University of Utah), Harindra Fernando (Arizona State University)

The non-stationary turbulent decay processes that occur during the evening transition of the convective boundary layer play an important role in atmospheric dispersion. As part of the Phoenix Airflow Experiment (PAFEX-I), the basic forcing mechanisms, influence of increasing atmospheric stability and turbulent dynamics were studied. Three component velocity measurements were made in the atmospheric surface layer using a sonic anemometer in Glendale, Arizaon along with a host of other standard atmospheric measurements. The decay of various turbulent quantities such as turbulent kinetic energy, surface fluxes, variances, length scales, and time scales were investigated. Based on these measurements, a simple time dependant turbulent kinetic energy model was developed that uses a simple linear function to represent the surface sensible heat flux. The results show good agreement with the turbulent kinetic energy decay field measurements and indicate that simple similarity models that neglect sensible heat flux can be easily improved.

[FR.010] Numerical Simulations of Stratified Turbulence Dominated by Vortical Motion

Michael Waite, Peter Bartello (McGill University)

Observations in the atmosphere and ocean frequently yield vertical wavenumber energy spectra of the form E(k_z) \propto k_z^-3, which are commonly attributed to saturating internal gravity waves. However, stably stratified fluids also support quasi-horizontal vortical motion with potential vorticity (PV). Does PV-dominated turbulence generate a k_z spectrum with a slope of -3? We will present a series of simulations of vortically forced turbulence at different stratifications which suggest that the answer to this question is no. In each of our simulations, the k_z spectrum of vortical energy is found to be flat out to the buoyancy wavenumber. We argue that such spectra are consistent with the limiting equations describing the asymptotic regime of strongly-stratified, PV-dominated turbulence. Finally, we contrast these findings with simulations of wave-dominated turbulence, for which k_z spectral slopes near -3 are more readily obtained.

Part F of program listing