The effect of asymmetric large-scale dissipation on energy and potential enstrophy injection in two-layer quasi-geostrophic turbulence

Similar documents
Energy and potential enstrophy flux constraints in quasi-geostrophic models

Atmospheric turbulence spectrum: competing theories

Locality and stability of the cascades of two-dimensional turbulence.

Energy and potential enstrophy flux constraints in quasi-geostrophic models

NOTES AND CORRESPONDENCE. Comments on The k 3 and k 5/3 Energy Spectrum of Atmospheric Turbulence: Quasigeostrophic Two-Level Model Simulation

Eleftherios Gkioulekas. Department of Applied Mathematics Box University of Washington Seattle, WA, , USA.

ON THE DOUBLE CASCADES OF ENERGY AND ENSTROPHY IN TWO-DIMENSIONAL TURBULENCE. PART 1. THEORETICAL FORMULATION. Eleftherios Gkioulekas.

A note on the numerical representation of surface dynamics in quasigeostrophic turbulence: Application to the nonlinear Eady model

A note on the numerical representation of surface dynamics in quasigeopstrophic turbulence: Application to the nonlinear Eady model

Eddy PV Fluxes in a One Dimensional Model of Quasi-Geostrophic Turbulence

Passive Scalars in Stratified Turbulence

Controlling the dual cascade of two-dimensional turbulence

Coupled systems of two-dimensional turbulence

TURBULENCE IN STRATIFIED ROTATING FLUIDS Joel Sommeria, Coriolis-LEGI Grenoble

IUGG, Perugia July, Energy Spectra from. Entropy Principles. Peter Lynch & Wim Verkely. University College Dublin. Meteorology & Climate Centre

Energy Spectrum of Quasi-Geostrophic Turbulence Peter Constantin

Macroturbulent cascades of energy and enstrophy in models and observations of planetary atmospheres

Scale interactions and scaling laws in rotating flows at moderate Rossby numbers and large Reynolds numbers

system is rapidly rotating and hydrostatic, so that the vertical vorticity equation becomes

Quasigeostrophic turbulence with explicit surface dynamics: Application to the atmospheric energy spectrum

Turbulence in the Atmosphere and Oceans

primitive equation simulation results from a 1/48th degree resolution tell us about geostrophic currents? What would high-resolution altimetry

Rotating stratified turbulence in the Earth s atmosphere

Turbulence and Energy Transfer in Strongly-Stratified Flows

GFD 2012 Lecture 1: Dynamics of Coherent Structures and their Impact on Transport and Predictability

Relation Between Structure Functions and Cascade Rates in Anisotropic Two-Dimensional Turbulence

Direct Numerical Simulations of Laboratory-Scale Stratified Turbulence

Energy spectrum of isotropic magnetohydrodynamic turbulence in the Lagrangian renormalized approximation

Isotropic homogeneous 3D turbulence

arxiv: v1 [physics.flu-dyn] 4 Jul 2015

arxiv: v2 [physics.flu-dyn] 31 May 2014

Academic Editor: Pavel S. Berloff Received: 29 November 2016; Accepted: 3 February 2017; Published: 16 February 2017

LFV in a mid-latitude coupled model:

Lagrangian acceleration in confined 2d turbulent flow

Spectrally condensed turbulence in two dimensions

Passive scalars in stratified turbulence

Turbulent spectra generated by singularities

On Decaying Two-Dimensional Turbulence in a Circular Container

Incompressible MHD simulations

Dynamical Subgrid-scale Parameterizations for Quasigeostrophic Flows using Direct Numerical Simulations

Geostrophic turbulence and the formation of large scale structure

Potential Enstrophy in Stratified Turbulence

Mesoscale Energy Spectra of Moist Baroclinic Waves

Diagnosing Cyclogenesis by Partitioning Energy and Potential Enstrophy in a Linear Quasi-Geostrophic Model

Lecture 2. Turbulent Flow

Geostrophic dynamics at surfaces in the. atmosphere and ocean

On the Global Attractor of 2D Incompressible Turbulence with Random Forcing

STOCHASTIC PARAMETERIZATION FOR LARGE EDDY SIMULATION OF GEOPHYSICAL FLOWS

A New Formulation of the Spectral Energy Budget of the Atmosphere, With Application to Two High-Resolution General Circulation Models

CVS filtering to study turbulent mixing

A Truncated Model for Finite Amplitude Baroclinic Waves in a Channel

MHD turbulence in the solar corona and solar wind

An iterative algorithm for nonlinear wavelet thresholding: Applications to signal and image processing

Decaying 2D Turbulence in Bounded Domains: Influence of the Geometry

Mathematical Concepts & Notation

Energy and enstrophy dissipation in steady state 2d turbulence

Numerical Study of Two-Dimensional Stratified Turbulence

Isotropic homogeneous 3D turbulence

Vortex dynamics in finite temperature two-dimensional superfluid turbulence. Andrew Lucas

Tutorial School on Fluid Dynamics: Aspects of Turbulence Session I: Refresher Material Instructor: James Wallace

Turbulence in Strongly-Stratified Flows

4 Vorticity and Turbulence

Chapter 13 Instability on non-parallel flow Introduction and formulation

Quasi-Normal Scale Elimination (QNSE) theory of anisotropic turbulence and waves in flows with stable stratification

Answers to Homework #9

Nonlinear Balance on an Equatorial Beta Plane

Energy spectrum in the dissipation range of fluid turbulence

Max Planck Institut für Plasmaphysik

PREDICTING EXTREME EVENTS FOR PASSIVE SCALAR TURBULENCE IN TWO-LAYER BAROCLINIC FLOWS THROUGH REDUCED-ORDER STOCHASTIC MODELS

arxiv:chao-dyn/ v1 17 Jan 1996

Chapter 4. Nonlinear Hyperbolic Problems

3 Generation and diffusion of vorticity

Stimulated generation: extraction of energy from balanced flow by near-inertial waves

A simple subgrid-scale model for astrophysical turbulence

ASYMPTOTIC STRUCTURE FOR SOLUTIONS OF THE NAVIER STOKES EQUATIONS. Tian Ma. Shouhong Wang

Spectral reduction for two-dimensional turbulence. Abstract

Turbulence. 2. Reynolds number is an indicator for turbulence in a fluid stream

The Shallow Water Equations

2D Homogeneous Turbulence

The mid-latitude high and low pressure systems visible in weather

Dynamic properties of two-dimensional. and quasi-geostrophic turbulence. Andreas Vallgren

Asymmetric inertial instability

Punctuated Hamiltonian Models of Structured Turbulence

CHAPTER ONE. Basic Ideas About Turbulence

Dynamics of the Coarse-Grained Vorticity

Transformed Eulerian Mean

Kinetic energy backscatter for NWP models and its calibration

Multiscale Computation of Isotropic Homogeneous Turbulent Flow

PAPER 333 FLUID DYNAMICS OF CLIMATE

Wave Turbulence and the Phillips Spectrum

Nonequilibrium Dynamics in Astrophysics and Material Science YITP, Kyoto

6. Renormalized Perturbation Theory

On the (multi)scale nature of fluid turbulence

Eddy Amplitudes in Baroclinic Turbulence Driven by Nonzonal Mean Flow: Shear Dispersion of Potential Vorticity

Mesoscale Predictability of Moist Baroclinic Waves: Variable and Scale-dependent Error Growth

Stability of meridionally-flowing grounded abyssal currents in the ocean

Diffusive Transport Enhanced by Thermal Velocity Fluctuations

UNIVERSITY OF OSLO Department of Geosciences - Meteorology and Oceanography section. A study on atmospheric relative dispersion using the transport mo

Floquet Theory for Internal Gravity Waves in a Density-Stratified Fluid. Yuanxun Bill Bao Senior Supervisor: Professor David J. Muraki August 3, 2012

SQG Vortex Dynamics and Passive Scalar Transport

Transcription:

The effect of asymmetric large-scale dissipation on energy and potential enstrophy injection in two-layer quasi-geostrophic turbulence Eleftherios Gkioulekas (1) and Ka-Kit Tung (2) (1) Department of Mathematics, University of Texas-Pan American (2) Department of Applied Mathematics, University of Washington p.1/22

Publications 1. K.K. Tung and W.T. Welch (2001), J. Atmos. Sci. 58, 2009-2012. 2. K.K. Tung and W.W. Orlando (2003a), J. Atmos. Sci. 60 824-835. 3. K.K. Tung and W.W. Orlando (2003b), Discrete Contin. Dyn. Syst. Ser. B, 3, 145-162. 4. K.K. Tung (2004), J. Atmos. Sci., 61, 943-948. 5. E. Gkioulekas and K.K. Tung (2005), Discrete Contin. Dyn. Syst. Ser. B, 5, 79-102 6. E. Gkioulekas and K.K. Tung (2005), Discrete Contin. Dyn. Syst. Ser. B, 5, 103-124. 7. E. Gkioulekas and K.K. Tung (2006), J. Low Temp. Phys., 145, 25-57 [review] 8. E. Gkioulekas and K.K. Tung (2007), J. Fluid Mech., 576, 173-189. 9. E. Gkioulekas and K.K. Tung (2007), Discrete Contin. Dyn. Syst. Ser. B, 7, 293-314 10. E. Gkioulekas (2010), J. Fluid Mech., submitted. [arxiv:1011.3163v1 [nlin.cd]] p.2/22

Outline Review of 2D turbulence. The Nastrom-Gage spectrum The Tung-Orlando theory of double cascade. The two-layer quasi-geostrophic model. p.3/22

2D Navier-Stokes equations In 2D turbulence, the scalar vorticity ζ(x, y, t) is governed by ζ t + J(ψ, ζ) =d + f, (1) where ψ(x, y, t) is the streamfunction, and ζ(x, y, t) = 2 ψ(x, y, t), and d = [ν( ) κ + ν 1 ( ) m ]ζ (2) The Jacobian term J(ψ, ζ) describes the advection of ζ by ψ, and is defined as J(a, b) = a x b y b x a y. (3) p.4/22

Energy and enstrophy spectrum. I Two conserved quadratic invariants: energy E and enstrophy G defined as E(t) = 1 2 ψ(x, y, t)ζ(x, y, t) dxdy G(t) = 1 2 ζ 2 (x, y, t) dxdy. (4) Let a <k (x) be the field obtained from a(x) by setting to zero, in Fourier space, the components corresponding to wavenumbers with norm greater than k: a <k (x) = = dyp (k x y)a(y) (5) R 2 dx 0 R 2 dk 0 H(k k 0 ) 4π 2 exp(ik 0 (x x 0 ))a(x 0 ) (6) Filtered inner product: a, b k = d dk R 2 dx a <k (x)b <k (x) (7) p.5/22

Energy and enstrophy spectrum. II Energy spectrum: E(k) = ψ, ζ k Enstrophy spectrum G(k) = ζ,ζ k Consider the conservation laws for E(k) and G(k) : E(k) t G(k) t + Π E(k) k + Π E(k) k = D E (k)+f E (k) (8) = D G (k)+f G (k) (9) In two-dimensional turbulence, the energy flux Π E (k) and the enstrophy flux Π G (k) are constrained by k 2 Π E (k) Π G (k) < 0 (10) for all k not in the forcing range. p.6/22

KLB theory. ln E(k) C ir ε 2/3 ir k 5/3 k f = forcing wavenumber k ir = IR dissipation wavenumber k uv = UV dissipation wavenumber ε ir = upscale energy flux η uv = downscale ensrropht flux C uv η 2/3 uv k 3 [χ +ln(kl 0 )] 1/3 k ir k f k uv ln k p.7/22

Nastrom-Gage spectrum schematic ln E(k) k 3 3000km 800km k 5/3 600km 1km k t 700km k R k 3 k 5/3 ln k k t p.8/22

Nastrom-Gage spectrum p.9/22

Interpretation of NG spectrum. The k 3 range is interpretated as downscale enstrophy cascade. The k 5/3 range used to be interpretated as an 2D inverse energy cascade forced at small scales by thunderstorms. This tortured interpretation followed from the perceived need to explain the Nastrom-Gage spectrum in terms of 2D turbulence. Tung and Orlando (formerly: Welch) challenged the Charney QG-2D equivalence: K.K. Tung and W.T. Welch (2001), J. Atmos. Sci. 58, 2009-2012. K.K. Tung and W.W. Orlando (2003a), J. Atmos. Sci. 60 824-835. K.K. Tung and W.W. Orlando (2003b), Discrete Contin. Dyn. Syst. Ser. B, 3, 145-162. New interpretation: A double downscale cascade of enstrophy and energy with enstrophy flux η uv and energy flux ε uv and transition from k 3 scaling to k 5/3 scaling at the transition wavenumber k t η uv /ε uv. p.10/22

Tung and Orlando spectrum p.11/22

More on Tung-Orlando theory Cho-Lindborg: Confirm downscale energy cascade. J.Y.N. Cho and E. Lindborg (2001), J. Geophys. Res. 106 D10, 10,223-10,232. J.Y.N. Cho and E. Lindborg (2001), J. Geophys. Res. 106 D10, 10,232-10,241. Smith-Tung debate: Transition not possible in 2D turbulence K.S. Smith (2004), J. Atmos. Sci. 61, 937-942 K.K. Tung (2004), J. Atmos. Sci., 61, 943-948. Gkioulekas-Tung superposition principle E. Gkioulekas and K.K. Tung (2005), Discr. Cont. Dyn. Syst. Ser. B, 5, 79-102 E. Gkioulekas and K.K. Tung (2005), Discr. Cont. Dyn. Syst. Ser. B, 5, 103-124. Transition may be possible in 2-layer QG with asymmetric dissipation stil open question. E. Gkioulekas and K.K. Tung (2007), Discr. Cont. Dyn. Syst. Ser. B, 7, 293-314 p.12/22

The two-layer model. I The governing equations for the two-layer quasi-geostrophic model are ζ 1 t + J(ψ 1,ζ 1 + f) = 2f h ω + d 1 (11) ζ 2 t + J(ψ 2,ζ 2 + f) =+ 2f h ω + d 2 +2e 2 (12) T t + 1 2 [J(ψ 1,T)+J(ψ 2,T)] = N 2 f ω + Q 0 (13) where ζ 1 = 2 ψ 1 ; ζ 2 = 2 ψ 2 ; T =(2/h)(ψ 1 ψ 2 ). f is the Coriolis term; N the Brunt-Väisälä frequency; Q 0 is the thermal forcing on the temperature equation; d 1, d 2, e 2 the dissipation terms: d 1 =( 1) κ+1 ν 2κ ζ 1 (14) d 2 =( 1) κ+1 ν 2κ ζ 2 (15) e 2 = ν E ζ 2 (16) p.13/22

The two-layer model. II The potential vorticity is defined as with k R 2 2f/(hN) and it satisfies q 1 = 2 ψ 1 + f + k2 R 2 (ψ 2 ψ 1 ) (17) q 2 = 2 ψ 2 + f k2 R 2 (ψ 2 ψ 1 ) (18) with f 2 =(1/4)k 2 R hq 0 and f 2 =(1/4)k 2 R hq 0. q 1 t + J(ψ 1,q 1 )=f 1 + d 1 (19) q 2 t + J(ψ 2,q 2 )=f 2 + d 2 + e 2 (20) p.14/22

The two-layer model. III The two-layer model conserves total energy E and potential layer enstrophies G 1 and G 2 : E = G 1 = G 2 = [ ψ 1 (x, y, t)q 1 (x, y, t) ψ 2 (x, y, t)q 2 (x, y, t)] dxdy (21) q1 2 (x, y, t) dxdy (22) q2 2 (x, y, t) dxdy (23) We define: The energy spectrum E(k) = ψ 1,q 1 k + ψ 2,q 2 k Top-layer potential enstrophy spectrum G 1 (k) = q 1,q 1 k Bottom-layer potential enstrophy spectrum G 2 (k) = q 2,q 2 k Total potential enstrophy spectrum G(k) =G 1 (k)+g 2 (k) p.15/22

The two-layer model. IV Consider the generalized form of an n-layer model: q α t + J(ψ α,q α )= β D αβ ψ β + f α (24) ˆq α (k,t)= β L αβ ( k ) ˆψ β (k,t) (25) The energy spectrum E(k) and the potential enstrophy spectrum G(k) are given by: E(k) = α ψ α,q α k = αβ L αβ (k)c αβ (k) (26) G(k) = α q α,q α k = αβγ L αβ (k)l αγ (k)c βγ (k) (27) with C αβ (k) = ψ α,ψ β k. p.16/22

The two-layer model. V Let φ αβ (k) = f α,ψ β k, and D αβ(k) be the spectrum of the operator D αβ The energy forcing spectrum F E (k) and the potential enstrophy forcing spectrum F G (k) are: F E (k) =2 α φ αα (k) (28) F G (k) =2 αβ L αβ (k)φ αβ (k) (29) The energy dissipation spectrum D E (k) and the potential dissipation enstrophy spectrum D G (k) are related with C αβ (k) = ψ α,ψ β according to: k D E (k) =2 αβ D αβ (k)c αβ (k) (30) D G (k) =2 αβγ L αβ (k)d αγ (k)c βγ (k) (31) p.17/22

Forcing spectrum. I. For antisymmetric forcing f 1 = f and f 2 = f: F E (k) =2(Φ 1 (k) Φ 2 (k)) (32) F G (k) =(k 2 + k 2 R )F E(k) (33) with Φ 1 (k) = f, ψ 1 k and Φ 2 (k) = f, ψ 2 k. It follows that for k f k R : (η/ε) k 2 R. If both are dissipated at small scales, then k t k R. In 2D turbulence Ekman damping dissipates most of injected energy and some of injected enstrophy. Not true in two-layer QG model because the Ekman term appears only on bottom layer. p.18/22

Forcing spectrum. II. For Ekman-damped forcing: f 1 = f and f 2 = f ν E ψ 2, incorporating the damping effect to the forcing spectrum gives: F E (k) =2(Φ 1 (k) Φ 2 (k)) + 2ν E k 2 U 2 (k) (34) F G (k) =(k 2 + k 2 R )F E(k) ν E k 2 k 2 R (U 2(k)+C 12 (k)) (35) with U 1 (k) = ψ 1,ψ 1 k, U 2 (k) = ψ 2,ψ 2 k, and C 12 (k) = ψ 1,ψ 2 k. Note the F E (k) increases, because U 2 (k) > 0. If E K (k) E P (k) = C 12 (k) 0= F G (k) decreases. Thus, the tendency is to decrease k t. Layer interaction makes it non-obvious whether F G (k) increases or decreases. In SQG: E K (k)/e P (k) =1. In stratified 3D: E K (k)/e P (k) 3. (Lindborg (2009)) In full QG: E K (k)/e P (k) 2. (Charney theory Vallgren and Lindborg (2010)) p.19/22

Forcing spectrum. IV. Claim: Suppressing bottom-layer forcing tends to decrease k t. Let f 1 = ϕ and f 2 = µϕ with µ (0, 1) (suppression factor). Assume ϕ is random Gaussian with ϕ(x 1,t 1 )ϕ(x 2,t 2 ) =2Q(x 1, x 2 )δ(t 1 t 2 ) (36) fα (x 1,t 1 )f β (x 2,t 2 ) =2Q αβ (x 1, x 2 )δ(t 1 t 2 ) (37) Define the forcing spectrum: Q(k) = d dk Q αβ (k) = d dk dxdydz P (k x y)p (k x z)q(y, z) (38) dxdydz P (k x y)p (k x z)q αβ (y, z) (39) p.20/22

Forcing spectrum. V. It follows that the streamfunction-forcing spectrum reads: ϕ αβ (k) = f α,ψ β k = γ L 1 βγ (k)q αγ(k) (40) Energy and enstrophy forcing spectrum: F E (k) =2 α F G (k) =2 α ϕ αα (k) = 2Q(k)[2(1 + µ2 )k 2 +(1 µ) 2 k 2 R ] 2k 2 (k 2 + k 2 R ) (41) L αβ (k)ϕ αβ (k) =2(1+µ 2 )Q(k) (42) Consider the forcing range limit: k k R. For µ =1: F G (k) kr 2 F E(k) = k t k R For µ =0: F G (k) 2k 2 F E (k) = k t 2k f Thus: Baroclinically damped forcing contributes to inertial range transition. p.21/22

Conclusion The energy flux constraint prevents a transition from k 3 scaling to k 5/3 scaling in 2D turbulence. The energy flux constraint can be broken in two-layer QG turbulence under asymmetric dissipation. In the two-layer QG model, the rates of enstrophy over energy injection satisfy: (η/ε) =k 2 R Asymmetric Ekman dissipation increases ε and may decrease η, Suppressing the bottom layer forcing directly always decreases the ratio (η/ε). Open question: Can the injected energy and enstrophy be dissipated? p.22/22