D. C. Lewellen and W. S. Lewellen West Virginia University, Morgantown, WV.

Similar documents
Baiyun Gong, D. C. Lewellen, and W. S. Lewellen West Virginia University, Morgantown, WV.

D. C. Lewellen West Virginia University, Morgantown, WV.

14.5 EFFECT OF THE LOWER BOUNDARY CONDITION ON TORNADO INTENSITY IN AN AXISYMMETRIC, CONSTANT-VISCOSITY, CLOSED MODEL OF TORNADOGENESIS

D. C. Lewellen West Virginia University, Morgantown, WV.

D. C. Lewellen and M. I. Zimmerman West Virginia University, Morgantown, WV.

Suction vortices and spiral breakdown in numerical simulations of tornado-like vortices

P1.16 ADIABATIC LAPSE RATES IN TORNADIC ENVIRONMENTS

Numerical Simulation of the Evolution Law of Tornado Wind Field Based on Radar Measured Data

1. Introduction. Figure 1: TTUKa-1 and TTUKa-2 at Reese Technology Center near Lubbock, TX

P10.5 TAXONOMY AND ANALYSIS OF SIMULATED TORNADO SURFACE MARKS

P1.25 COMPARISON OF NUMERICAL MODEL AND LABORATORY SIMULATOR TORNADO WIND FIELDS WITH RADAR OBSERVATIONS OF THE SPENCER, SOUTH DAKOTA TORNADO

On the Use of Doppler Radar Derived Wind Fields to Diagnose the Secondary Circulations of Tornadoes

Cloud Structure and Entrainment in Marine Atmospheric Boundary Layers

Tornado Dynamics. Readings:

Genesis mechanism and structure of a supercell tornado in a fine-resolution numerical simulation

Hurricanes are intense vortical (rotational) storms that develop over the tropical oceans in regions of very warm surface water.

Intensely swirling turbulent pipe flow downstream of an orifice: the influence of an outlet contraction

Theories on the Optimal Conditions of Long-Lived Squall Lines

Tropical Cyclone Intensification

Generalized Stability Analyses of Asymmetric Disturbances in One- and Two-Celled Vortices Maintained by Radial Inflow

DEVELOPMENT OF CFD MODEL FOR A SWIRL STABILIZED SPRAY COMBUSTOR

P10.1 TORNADOGENESIS IN A SIMULATED HP SUPERCELL

Chapter 3 Convective Dynamics Part VI. Supercell Storms. Supercell Photos

Flow and heat transfer characteristics of tornado-like vortex flow

Theories on the Optimal Conditions of Long-Lived Squall Lines

Tornadogenesis in Supercells: The Three Main Ingredients. Ted Funk

MET Lecture 26 Tornadoes I

Fluid Dynamics Exercises and questions for the course

Tornado Occurrences. Tornadoes. Tornado Life Cycle 4/12/17

Formation and Long Term Evolution of an Externally Driven Magnetic Island in Rotating Plasmas )

Introduction to Mesoscale Meteorology

PUBLICATIONS. Journal of Advances in Modeling Earth Systems

Evolution and transition mechanisms of internal swirling flows with tangential entry

Heat Transfer Analysis of Machine Tool Main Spindle

Convective Dynamics. Jeremy A. Gibbs. March 10, University of Oklahoma

TOWARDS A BETTER UNDERSTANDING OF AND ABILITY TO FORECAST THE WIND FIELD EXPANSION DURING THE EXTRATROPICAL TRANSITION PROCESS

Liquid-Rocket Transverse Triggered Combustion Instability: Deterministic and Stochastic Analyses

Robert Rogers, Sylvie Lorsolo, Paul Reasor, John Gamache, and Frank Marks Monthly Weather Review January 2012

Global magnetorotational instability with inflow The non-linear regime

Improved Tropical Cyclone Boundary Layer Wind Retrievals. From Airborne Doppler Radar

Tornadoes forecasting, dynamics and genesis. Mteor 417 Iowa State University Week 12 Bill Gallus

Turbulence Laboratory

Structure and Formation of an Annular Hurricane Simulated in a Fully Compressible, Nonhydrostatic Model TCM4*

Severe Thunderstorms

PUBLICATIONS. Journal of Advances in Modeling Earth Systems

Thunderstorms. Ordinary Cell Thunderstorms. Ordinary Cell Thunderstorms. Ordinary Cell Thunderstorms 5/2/11

Tutorial for the supercritical pressure pipe with STAR-CCM+

A mechanistic model study of quasi-stationary wave reflection. D.A. Ortland T.J. Dunkerton NorthWest Research Associates Bellevue WA

Instabilities due a vortex at a density interface: gravitational and centrifugal effects

USING PROGRAM HURRICANE. Download all the files, including the (empty) output subdirectory into a new folder on your machine.

28.2 Classification of Jumps

NOAA S National Weather Service

Tornadoes forecasting, dynamics and genesis. Mteor 417 Iowa State University Week 12 Bill Gallus

How Do Outer Spiral Rainbands Affect Tropical Cyclone Structure and Intensity?*

Tutorial for the heated pipe with constant fluid properties in STAR-CCM+

TOPICS: What are Thunderstorms? Ingredients Stages Types Lightning Downburst and Microburst

FLUID MECHANICS PROF. DR. METİN GÜNER COMPILER

CHARACTERISTICS OF ELLIPTIC CO-AXIAL JETS

Simulation of Aeroelastic System with Aerodynamic Nonlinearity

Vortex Induced Vibrations

Thunderstorms and Severe Weather. (Chapt 15)

On the transient modelling of impinging jets heat transfer. A practical approach

Dynamics of Elevated Vortices

Dynamics of plumes driven by localized heating in a stably stratified ambient

Boundary-Layer Theory

Self-Stratification of Tropical Cyclone Outflow. Part II: Implications for Storm Intensification

Mixing and Combustion in Dense Mixtures by William A. Sirignano and Derek Dunn-Rankin

AMS Copyright Notice

Self-Excited Vibration in Hydraulic Ball Check Valve

Temperature fronts and vortical structures in turbulent stably stratified atmospheric boundary layers

JP1.17 TORNADOES, THOMSON, AND TURBULENCE: AN ANALOGOUS PERSPECTIVE ON TORNADOGENESIS AND ATMOSPHERIC COHERENT STRUCTURE

Principles of Convection

Evolution and Maintenance of the June 2003 Nocturnal Convection

Chapter 14 Thunderstorm Fundamentals

Three-Dimension Numerical Simulation of Discharge Flow in a Scroll Air Compressor

REE Internal Fluid Flow Sheet 2 - Solution Fundamentals of Fluid Mechanics

The Earth System - Atmosphere III Convection

SIMULATION OF PRECESSION IN AXISYMMETRIC SUDDEN EXPANSION FLOWS

Detailed Outline, M E 320 Fluid Flow, Spring Semester 2015

Effective Depth of Ekman Layer.

Chapter 3 Convective Dynamics 3.4. Bright Bands, Bow Echoes and Mesoscale Convective Complexes

Impacts of Turbulence on Hurricane Intensity

1st Tornado Photograph

12.2 MESOVORTICES FORMED WITHIN BOW ECHOES: THEIR GENESIS AND SENSITIVITY TO THE ENVIRONMENT AND SYSTEM COLD POOL

15B.7 RESPONSE OF CONVECTION TO HURRICANE-LIKE HORIZONTAL AND VERTICAL SHEARS

Numerical Studies of Droplet Deformation and Break-up

ΔV /D where D is the distance SIMULATED DOPPLER VELOCITY SIGNATURES OF EVOLVING TORNADO-LIKE VORTICES

Tornadogenesis Resulting from the Transport of Circulation by a Downdraft: Idealized Numerical Simulations

13.6 GROWTH OF CIRCULATION AROUND SUPERCELL UPDRAFTS. Robert Davies-Jones* National Severe Storms Laboratory, NOAA Norman, Oklahoma

Statistical Analysis of the Effect of Small Fluctuations on Final Modes Found in Flows between Rotating Cylinders

Central recirculation zones and instability waves in internal swirling flows with an annular entry

Applied Mathematics and Mechanics (English Edition)

TURBINE BURNERS: Engine Performance Improvements; Mixing, Ignition, and Flame-Holding in High Acceleration Flows

Turbulence Modeling I!

ESCI 344 Tropical Meteorology Lesson 11 Tropical Cyclones: Formation, Maintenance, and Intensification

Super-Parameterization of Boundary Layer Roll Vortices in Tropical Cyclone Models

EVALUATION OF FOUR TURBULENCE MODELS IN THE INTERACTION OF MULTI BURNERS SWIRLING FLOWS

P12.7 MESOCYCLONE AND RFD INDUCED DAMAGING WINDS OBSERVED IN THE 27 MAY 2004 SOUTHWEST OHIO SUPERCELL

Self-Stratification of Tropical Cyclone Outflow. Part I: Implications for Storm Structure

Scaling laws for planetary dynamos driven by helical waves

Transcription:

13.5 ON THE LIMITS TO NEAR-SURFACE INTENSIFICATION OF TORNADO VORTICES D. C. Lewellen and W. S. Lewellen West Virginia University, Morgantown, WV. 1 INTRODUCTION In a tornadic supercell velocities are intensified within a small region of the storm, within a few tens of meters of the surface where they can do the most damage. How large can near-surface tornado velocities become relative to velocities aloft? Determining the maximum possible tornado intensity near the surface, and what conditions produce them, are longstanding goals of severe storm research. Here we summarize results from two of our recent papers addressing this question (Lewellen and Lewellen, 2006a,b). We use both idealized analytic models and numerical large-eddy simulations to concentrate on one aspect of the problem: the near-surface intensification of a vortex due to purely fluid-dynamic effects. The results reinforce one of the themes from our previous studies: that corner flow structure and near-surface intensification are highly sensitive to properties of the near-surface inflow layer (Lewellen et al., 2000a,b; Lewellen and Lewellen, 2002). 2 IDEALIZED CORNER FLOW MODEL There is a physical feedback that tends to limit the magnitude of the near-surface intensification of a vortex: higher swirl velocities and pressure drops near the surface relative to conditions aloft imply a vertical pressure gradient that tends to drive a core downdraft, reducing the intensification. There is also a well known purely fluid-dynamic mechanism that can oppose this feedback: balancing the vertical pressure gradient with core updrafts (either central or annular) that decelerate with height, with the enhanced updraft at low levels supported by a radial overshoot in the vortex corner flow produced by cyclostrophic imbalance in the surface layer. A simple analytical model for a steady supercritical end-wall vortex (Barcilon, 1967; Fiedler and Rotunno, 1986) suggests that the level of intensification that can be supported by this mechanism (as measured by the ratio of peak swirl velocities in the corner flow to peak swirl velocities aloft) is limited by the conservation of mass, angular momentum and ver- Corresponding author address: D. C. Lewellen, MAE Dept. PO Box 6106, WVU, Morgantown, WV, 26506-6106; e-mail: dclewellen@mail.wvu.edu. tical momentum to a factor 2, a result supported by many laboratory and numerical studies. In Lewellen and Lewellen (2006a) this model is generalized to consider corner flows besides the supercritical end-wall vortex, more general angular momentum distributions and time dependence. The model again uses integrated conservation of mass, vertical momentum, and angular momentum to relate pressure and velocity at a lower level in the corner flow to their values well above the corner flow without any more detailed knowledge required of the flow in between, which is expected to be highly turbulent, strongly dissipative, and possibly including a vortex breakdown. The treatment is analogous to the classic treatment of a hydraulic jump. Figure 1: Near-surface intensification of mean swirl velocity and pressure drop relative to conditions aloft versus corner flow swirl ratio. Symbols represent LES results (taken from Lewellen et al. (2000a)); the lines are predictions from the analytic model of Lewellen and Lewellen (2006a). The model predicts the general structure and intensification of quasi-steady vortex corner flows as a function of corner flow swirl ratio in agreement with simulation results. For example, fig. 1 reproduces fig. 8 from Lewellen et al. (2000a), plotting near-surface in-

Figure 2: Azimuthal time averages of angular momentum (a), swirl velocity (b), vertical velocity (c) and pressure (d) for a simulation exhibiting nested inner and outer corner flows on different length scales. Figure 3: As in figure 2, zoomed in to show the central subdomain. tensification as a function of S c for a large set of simulated tornadoes, together with the predicted curve from Lewellen and Lewellen (2006a). The model has some dependence on the assumed swirl distribution in the core; the lines shown are for the simple case of uniform vorticity in the core updraft (corresponding to a Rankine combined vortex for a solid updraft). The model predicts a solid central updraft above the surface for S c below its value for peak intensification, Sc, and an annular updraft for S c > Sc, as observed in the simulated corner flows in Lewellen et al. (2000a). 3 CORNER FLOWS WITH ENHANCED IN- TENSIFICATION The simplest solutions to the idealized corner flow model support the prevailing view that near-surface intensification is generally greatest, with a value 2, given a supercritical end-wall vortex capped by a vortex breakdown just above the surface; however, the model also suggests ways in which even greater intensification levels can be achieved, e.g., by involving more complex Γ distributions or time evolution. Several such scenarios have been realized with LES in Lewellen and Lewellen (2006a,b); two representative examples are presented below. Note that in presenting

results quantities have been nondimensionalized using the angular momentum level in the far field (Γ ) and the domain radius (r d half the lateral domain size) to form length (r d ), time (t s r 2 d /Γ ) and velocity (V s Γ /r d ) scales. Figure 4: Instantaneous contours of normalized perturbation pressure on a central vertical slice of the nested corner flow simulation showing a large-scale spiral vortex breakdown. 3.1 A Quasi-steady Nested Corner Flow Figures 2 and 3 summarize results from a quasisteady simulation where enhanced intensification from the boundary layer interaction is produced essentially by realizing inner and outer corner flows on different spatial scales. To do this, the near-surface inflow at the domain boundary was constructed with varying angular momentum in layers: a thin layer with no swirl just above the surface, a thin layer above it with Γ = Γ /2, a thick no-swirl layer above them, and finally Γ = Γ there-above. The layer thicknesses were adjusted to produce near-critical low-swirl corner flows on both inner (fig 3) and outer (fig 2) corner scales, the former with an abrupt quasi-axisymmetric vortex breakdown, the latter with a spiral-mode vortex breakdown best seen in the instantaneous pressure field (fig 4). Each is accompanied by a significant intensification factor, with the combination producing I v 3.2 and I p 4.2 as measured in the time and azimuthally averaged flow. This measure underestimates the true intensification because the lateral wander of the inner vortex below the first breakdown is non-negligible in comparison to its small core size. A time average of peak values at each time gives instead, I v 5.3 and I p 5.2. The two vortex breakdowns were diagnosed from the observed behavior sharp transitions from states with strong upward axial flows to ones with significantly larger core radii, reduced axial velocities and increased turbulence levels. The presence of a second vortex breakdown following a first might seem inconsistent with the interpretation of a vortex breakdown as the transition from a supercritical flow to a subcritical one (Benjamin, 1962). In the present example, however, two different fluid populations are involved: the small-scale central jet flow can transition from super to subcritical in the inner vortex breakdown while the much larger annular updraft accelerates to supercritical above before undergoing its breakdown. This simulation illustrates two other points stressed in Lewellen et al. (2000a): the inadequacy in some cases of any single parameter (e.g., a swirl ratio) to characterize the interaction of a vortex with the surface, and the extreme sensitivity of the corner flow structure and intensity to the properties of the near-surface inflow. At least three different swirl ratios are relevant in the present case: the domain-scale swirl ratio, and corner flow swirl ratios on inner and outer scales. The sensitivity to the inflow structure has been confirmed by related simulations: the elimination of all the low swirl inflow at the lateral boundaries produces a quasi-steady high-swirl corner flow with multiple secondary vortices, as one would expect from the high domain-scale swirl ratio; eliminating only the lowest thin layer of no-swirl inflow maintains nested corner flows, but now a high-swirl corner inside of a large scale low-swirl corner; most dramatically, eliminating just the thin layer of Γ = Γ /2 inflow produces a very low swirl corner on the large scale, replacing a strong nearsurface intensification with a strong de-intensification. 3.2 Dynamic Corner Flow Collapse Many of the features observed in nested corner flows, and significant additional intensification, can be realized naturally without fine tuning in a class of unsteady evolutions we have previously dubbed corner flow collapse (Lewellen et al., 2000b; Lewellen and Lewellen, 2002). These scenarios, triggered purely by changes in the far-field, near-surface flow, provide an attractive mechanism for naturally achieving an intense near-surface vortex from a much larger less-intense swirling flow. The evolution of the peak velocities and pressure drop from an example simulation of corner flow collapse is summarized in fig. 5, and different vertical profiles at the time of peak intensification in figs. 6 and 7. The initial state is from a quasi-steady simulation in which the domain swirl ratio is large but the corner flow swirl

Figure 5: Non-dimensionalized peak pressure drop (a), swirl velocity (b), vertical velocity (c), and height at which the peak pressure drop occurs (d), versus time during a corner flow collapse; peaks taken from the full 3D field (thin lines) or from an azimuthal average (thick lines). The nearly flat lines in (a) and (b) show peak mean values in the upper core near the domain top. ratio is low, a consequence of a zero-swirl inflow layer above the surface. There is initially a large-scale central updraft, a vortex breakdown at about 2/3 of the domain height, and no large velocities near the surface. The evolution in fig. 5 is triggered by shutting off the near-surface, zero-swirl inflow at the domain boundary. Subsequently the low-swirl fluid in the surface layer is steadily exhausted up the core; its flux through the corner drops in time until S c approaches Sc. At this point the corner flow collapses rapidly to smaller radii, driven both from above (by the inertia in the upper core flow removing low-swirl fluid from the corner) and from below (by the radial overshoot of near-surface flow for S c near Sc ). As a consequence, the peak velocities and pressure drops increase dramatically and drop in height to just above the surface (fig. 5). At the time of peak intensification I v 8.7 and I p 11.9 as measured from the azimuthal averages and I v 15.4 and I p 18.0 taken from the local instantaneous peaks. The analytic model and simulation results suggest that there are three identifiable ingredients in the near-surface intensification produced transiently during corner flow collapse, each contributing (for favorable conditions) approximately a factor of 2 in intensification over conditions aloft: (1) sweeping S c over Sc ; (2) nested corner flows on different scales; and (3) a true unsteady contribution with the total momentum flux through the corner decreasing in time. 4 CONCLUDING REMARKS Given the right conditions in the near-surface inflow layer, purely fluid-dynamic effects can lead even in quasi-steady state to much larger near-surface vortex intensification than had previously been thought possible. It should be noted that other physical effects not included here can either augment this intensification (such as buoyancy in the vortex core) or reduce it (such as large debris loading (Gong et al., 2006)). Lewellen and Lewellen (2006b) includes an analysis of a large set of large-eddy simulations of corner flow collapse designed to determine the basic scaling of the onset, intensification, structure and duration of the phenomenon as a function of the dominant physical parameters involved. Given its robustness and the magnitude of the near-surface intensification achieved, corner flow collapse is an attractive possible mechanism that may sometimes contribute on the tornado scale to tornado variability and on the mesocyclone scale to tornadogensis. 5 ACKNOWLEDGMENTS This work was supported by The National Science Foundation, Grant ATM236667. References Barcilon, A., 1967: Vortex decay above a stationary boundary. J. Fluid Mech., 27, 155 175. Benjamin, T. B., 1962: Theory of the vortex breakdown penomenon. J. Fluid Mech., 14, 593 629. Fiedler, B. H., and R. Rotunno, 1986: A theory for the maximum windspeed in tornado-like vortices. J. Atmos. Sci., 43, 2328 2340. Gong, B., D. C. Lewellen, and W. S. Lewellen, 2006: Effects of fine-scale debris on different tornado corner flows. Preprints, 23nd Conference on Severe Local Storms, AMS, St. Louis, MO, paper P10.3. Lewellen, D. C., and W. S. Lewellen, 2002: Nearsurface intensification during unsteady tornado evolution. Preprints, 21th Conference on Severe Local Storms, AMS, San Antonio, TX, paper 12.8.

Figure 6: Azimuthal averages of angular momentum, swirl velocity, vertical velocity and pressure shown at the time of peak near-surface intensification for a simulation undergoing a dynamic corner flow collapse. Figure 7: As in figure 6, zoomed in to show the central subdomain. Lewellen, D. C., and W. S. Lewellen, 2006a: Near-surface intensification of tornado vortices. J. Atmos. Sci., submitted. Available at http://eiger.mae.wvu.edu/tornado.html. Lewellen, D. C., and W. S. Lewellen, 2006b: Nearsurface vortex intensification through corner flow collapse. J. Atmos. Sci., submitted. Available at http://eiger.mae.wvu.edu/tornado.html. Lewellen, D. C., W. S. Lewellen, and J. Xia, 2000a: The influence of a local swirl ratio on tornado intensification near the surface. J. Atmos. Sci., 57, 527 544. Lewellen, D. C., W. S. Lewellen, and J. Xia, 2000b: Nonaxisymmetric, unsteady tornadic corner flows. Preprints, 20th Conference on Severe Local Storms, AMS, Orlando, FL, 265-268.