Columnar Clouds and Internal Waves

Size: px
Start display at page:

Download "Columnar Clouds and Internal Waves"

Transcription

1 Columnar Clouds and Internal Waves Daniel Ruprecht 1, Andrew Majda 2, Rupert Klein 1 1 Mathematik & Informatik, Freie Universität Berlin 2 Courant Institute, NYU Tropical Meteorology Workshop, Banff April 27 May 1, 2009

2 Thanks to... Oswald Knoth Oliver Bühler (IfT, Leipzig) (Courant Institute, NYU)

3 Multiscale Modelling Framework Scalings and Expansion Scheme Exact Closure for the Small Scales Results Nonlinearity for Weak Undersaturation Conclusions

4 10 km / 20 min g p 1000 km / 2 days Winter (DJF) km / 1 season Scales

5 u t + u u + wu z + π = S u w t + u w + ww z + π z = θ + S w θ t + u θ + wθ z = S θ (ρ 0 u) + (ρ 0 w) z = 0 θ = 1 + ε 4 θ (x, z, t) + o(ε 4 ) Anelastic Boussinesque Model 10 km / 20 min ( τ + u (0) ) q = 0 ( ) q = ζ (0) + Ω 0 βη + Ω 0 ρ (0) ρ (0) z dθ/dz θ(3) ζ (0) = 2 π (3), θ (3) = π(3) z, u(0) = 1 Ω 0 k π (3) Quasi-geostrophic theory Q T + F t T = S T Q q t + F q = S q Ha Ha ( Qϕ = ρ ϕ dz, F ϕ = ρ u ϕ + (u ) ϕ ) + D ϕ dz, ( ϕ {T, q} ) 1000 km / 2 days zs T = Ts(t, x) + Γ(t, x) min(z, HT ) zs ( zs ) (, q = qs(t, x) exp z ) zs Hq ( ρ = ρ exp z ) (, p = p exp γz ) z T + p0(t, x) + gρ h sc h sc T 0 dz u = ug + ua, fρ k ug = xp uα = α p0 V. Petoukhov et al., CLIMBER-2..., Climate Dynamics, 16, (2000) EMIC - equations (CLIMBER-2) km / 1 season Scales

6 Three-dimensional compressible flow equations ρ t + (ρv) = 0 (ρv) t + (ρv v)+ p + Ω ρv = S ρv ρg k (ρe) t + (v [ρe + p]) = S ρe (ρy j ) t + ρy j v = S ρyj (ρe) = p γ ρv2 + ρ N j=1 Q j Y j How are the various reduced models related to this system? Motivation

7 Key ingredients 1. Identification of uniformly valid system scales non-dimensional parameters distinguished limits 2. Specializations of a multiple scales ansatz a = m Ω = / s g = 9.81 m/s 2 p ref = 10 5 kg/ms 2 T ref = 300 K θ = 50 K R = 287 m 2 /s 2 K γ = 1.4 nothingatall Dimensionless Parameters & Distinguished Limits

8 Key ingredients 1. Identification of c ref Ω a 0.5 uniformly valid system scales a Ω 2 g non-dimensional parameters distinguished limits θ T ref c ref = γrt ref 2. Specializations of a multiple scales ansatz nothingatall Dimensionless Parameters & Distinguished Limits

9 Key ingredients 1. Identification of c ref Ω a ε h sc a ε3 uniformly valid system scales non-dimensional parameters θ T ref ε distinguished limits (ε 0) 2. Specializations of a multiple scales ansatz c ref = p ref /ρ ref h sc = p ref /gρ ref nothingatall Dimensionless Parameters & Distinguished Limits

10 Scaled governing equations ρ t + (ρv) = 0 (ρv) t + (ρv v)+ 1 ε 4 p + ε Ω ρv = S ρv 1 ε 4 ρg k (ρe) t + (v [ρe + p]) = S ρe (ρy j ) t + ρy j v = ε µ is ρyj (ρe) = p γ 1 + ε4 2 ρv2 + ρ N j=1 ε ν j Q j Y j Ready for asymptotics in ε Dimensionless Parameters & Distinguished Limits

11 Recovered classical single-scale models: U (i) = U (i) ( t ε, x, z ε ) Linear small scale internal gravity waves U (i) = U (i) (t, x,z) U (i) = U (i) (εt, ε 2 x,z) U (i) = U (i) (ε 2 t, ε 2 x,z) U (i) = U (i) (ε 2 t, ε 2 x,z) U (i) = U (i) (ε 2 t, ε 1 ξ(ε 2 x),z) U (i) = U (i) (ε 3/2 t, ε 5/2 x, ε 5/2 y, z) Anelastic & pseudo-incompressible models Linear large scale internal gravity waves Mid-latitude Quasi-Geostrophic Flow Equatorial Weak Temperature Gradients Semi-geostrophic flow Kelvin, Yanai, Rossby, and gravity Waves Asymptotic Expansions & Classical Results

12 [hsc/uref] 1/ 3 1/ 5/2 PG 1/ 2 QG 1/ 1 inertial waves advection Boussinesq WTG acoustic waves WTG +Coriolis HPE anelastic / pseudo-incompressible internal waves HPE +Coriolis Obukhov scale 1/ 5/2 bulk micro 1 1/ 1/ 2 1/ 3 convective meso synoptic planetary [h sc ] Scaling Regimes

13 Multiscale Modelling Framework Scalings and Expansion Scheme Exact Closure for the Small Scales Results Nonlinearity for Weak Undersaturation Conclusions

14 Scalings Characteristic (inverse) time scales dimensional dimensionless advection : u ref h sc 1 sound : internal waves : N = ghsc h sc g dθ θ dz ghsc u ref ghsc u ref = 1 ε 2 h sc dθ θ dz = 1 h sc ε 2 θ ε2dθ dz Scaling for the equatorial region: h sc θ dθ dz = O(ε2 ) implies t sound εt internal ε 2 t adv Majda & Klein, JAS, (2003)

15 Clouds and internal waves Columnar clouds / internal wave time scales general expansion scheme U(x,z,t; ε) = i ε i U (i) (η, x,z,τ) horizontal velocity scaling u (0) (η, x,z,τ) u(x,z,τ) η = x/ε τ = t/ε εh sc x = x h sc, t = t u ref h sc h sc Klein & Majda, TCFD, 2006

16 Clouds and internal waves Convective scale u τ + x π =0 H(q c ) 0 w τ + π z = θ θ τ + wn 2 = ΓL C p 0 ρ 0 x u +(ρ 0 w) z =0 Cloud column scale ( τ + u η ) w = θ ( τ + u η ) θ + wn 2 = ΓL p 0 C. Moisture coupling H(q c ) 1 C = H(q c ) C d +[1 H(q c )] C ev

17 Clouds and internal waves Saturated Air C d = Cd δq (n ) v q c = ( w + w) dq vs dz ( τ + u η ) q c = H(q c ) C d C cr q r q c ( τ + u η ) q r =0 Undersaturated Air C ev = C ev (q vs (z) q v ) q r 1/2 ( τ + u η ) q v =0 ( τ + u η ) q r =0

18 Multiscale Modelling Framework Scalings and Expansion Scheme Exact Closure for the Small Scales Results Nonlinearity for Weak Undersaturation Conclusions

19 Clouds and internal waves Convective scale (x,z,τ) u τ + x π =0 H(q c ) 0 w τ + π z = θ θ τ + wn 2 = ΓL C p 0 ρ 0 x u + (ρ 0 w) z =0 Cloud column scale (η, x, z, τ) ( τ + u η ) w = θ ( τ + u η ) θ + wn 2 = ΓL p 0 C. Moisture coupling H(q c ) 1 C = H(q c ) C d +[1 H(q c )] C ev

20 Clouds and internal waves Convective scale u τ + x π =0 Analytical microscale closure I C ev = C ev (q vs (z) q v ) q r 1/2 w τ + π z = θ [1 H(q c )] C ev = C(x,z) θ τ + wn 2 = ΓL C p 0 ρ 0 x u +(ρ 0 w) z =0 Cloud column scale ( τ + u η ) w = θ ( τ + u η ) θ + wn 2 = ΓL p 0 C. Moisture coupling C = H(q c ) C d +[1 H(q c )] C ev C d = ( w + w) dq vs dz H(q c ) C d = H(q c ) w + H(q c )w H(q c ) C d = ( w New averaged microscale variables w (x,z,τ) = H(q c ) w σ(x,z) = H(q c ) dqvs dz + σ(x,z) w ) dq vs dz

21 Clouds and internal waves Convective scale u τ + x π =0 Analytical microscale closure I C ev = C ev (q vs (z) q v ) q r 1/2 w τ + π z = θ [1 H(q c )] C ev = C(x,z) θ τ + wn 2 = ΓL C p 0 ρ 0 x u +(ρ 0 w) z =0 Cloud column scale ( τ + u η ) w = θ ( τ + u η ) θ + wn 2 = ΓL p 0 C. Moisture coupling C = H(q c ) C d +[1 H(q c )] C ev C d = ( w + w) dq vs dz H(q c ) C d = H(q c ) w + H(q c )w H(q c ) C d = ( w New averaged microscale variables w (x,z,τ) = H(q c ) w σ(x,z) = H(q c ) dqvs dz + σ(x,z) w ) dq vs dz

22 Clouds and internal waves Convective scale u τ + x π =0 Analytical microscale closure I C ev = C ev (q vs (z) q v ) q r 1/2 w τ + π z = θ [1 H(q c )] C ev = C(x,z) θ τ + wn 2 = ΓL C p 0 ρ 0 x u +(ρ 0 w) z =0 Cloud column scale ( τ + u η ) w = θ ( τ + u η ) θ + wn 2 = ΓL p 0 C. Moisture coupling C = H(q c ) C d +[1 H(q c )] C ev C d = ( w + w) dq vs dz H(q c ) C d = H(q c ) w + H(q c )w H(q c ) C d = ( w New averaged microscale variables w (x,z,τ) = H(q c ) w σ(x,z) = H(q c ) dqvs dz + σ(x,z) w ) dq vs dz

23 Clouds and internal waves Convective scale u τ + x π =0 Analytical microscale closure I C ev = C ev (q vs (z) q v ) q r 1/2 w τ + π z = θ [1 H(q c )] C ev = C(x,z) θ τ + wn 2 = ΓL C p 0 ρ 0 x u +(ρ 0 w) z =0 Cloud column scale ( τ + u η ) w = θ ( τ + u η ) θ + wn 2 = ΓL p 0 C. Moisture coupling C = H(q c ) C d +[1 H(q c )] C ev C d = ( w + w) dq vs dz H(q c ) C d = H(q c ) w + H(q c )w H(q c ) C d = ( w New averaged microscale variables w (x,z,τ) = H(q c ) w σ(x,z) = H(q c ) dqvs dz + σ(x,z) w ) dq vs dz

24 Clouds and internal waves Convective scale u τ + x π =0 Analytical microscale closure I C ev = C ev (q vs (z) q v ) q r 1/2 w τ + π z = θ [1 H(q c )] C ev = C(x,z) θ τ + wn 2 = ΓL C p 0 ρ 0 x u +(ρ 0 w) z =0 Cloud column scale ( τ + u η ) w = θ ( τ + u η ) θ + wn 2 = ΓL p 0 C. Moisture coupling C = H(q c ) C d +[1 H(q c )] C ev C d = ( w + w) dq vs dz H(q c ) C d = H(q c ) w + H(q c )w H(q c ) C d = ( w New averaged microscale variables w (x,z,τ)=h(q c ) w σ(x,z)=h(q c ) dqvs dz + σ(x,z) w ) dq vs dz

25 Clouds and internal waves Convective scale u τ + x π =0 w τ + π z = θ θ τ + wn 2 = ΓL C p 0 ρ 0 x u +(ρ 0 w) z =0 Cloud column scale ( τ + u η ) w = θ Analytical microscale closure II ( τ + u η ) H(q c )=0 ( τ + u η ) H(q c ) w = H(q c ) θ (H(q c ) w) τ = H(q c ) θ w τ = θ analogously θτ + σw N 2 = σ (1 σ)wn 2 + C ( τ + u η ) θ + wn 2 = ΓL p 0 C. Moisture coupling C = H(q c ) C d +[1 H(q c )] C ev where θ (x,z,τ) = H(q c ) θ w (x,z,τ) = H(q c ) w

26 Clouds and internal waves Convective scale u τ + x π =0 w τ + π z = θ θ τ + wn 2 = ΓL C p 0 ρ 0 x u +(ρ 0 w) z =0 Cloud column scale ( τ + u η ) w = θ Analytical microscale closure II ( τ + u η ) H(q c )=0 ( τ + u η ) H(q c ) w = H(q c ) θ (H(q c ) w) τ = H(q c ) θ w τ = θ analogously θτ + σw N 2 = σ (1 σ)wn 2 + C ( τ + u η ) θ + wn 2 = ΓL p 0 C. Moisture coupling C = H(q c ) C d +[1 H(q c )] C ev where θ (x,z,τ)=h(q c ) θ w (x,z,τ)=h(q c ) w

27 Clouds and internal waves Coupled micro-macro dynamics on convective scales (with mean advection) u τ + x π =0 w τ + π z = θ θ τ +(1 σ)wn 2 = w N 2 C ρ 0 x u +(ρ 0 w) z =0 w τ = θ where θ τ + σw N 2 = σ(1 σ)wn 2 + σc. D τ = τ + u x and σ(x,z), C(x,z),N(z) are prescribed

28 Clouds and internal waves Coupled micro-macro dynamics on convective scales (with mean advection) D τ u + x π =0 D τ w + π z = θ D τ θ +(1 σ)wn 2 = w N 2 C ρ 0 x u +(ρ 0 w) z =0 D τ w = θ D τ θ + σw N 2 = σ(1 σ)wn 2 + σc. where D τ = τ + u x and σ(x,z), C(x,z),N(z) are prescribed

29 Multiscale Modelling Framework Scalings and Expansion Scheme Exact Closure for the Small Scales Results Nonlinearity for Weak Undersaturation Conclusions

30 Clouds and internal waves Clouds may narrow the spectrum of lee waves Background Wind Stratified Atmosphere Topography without cloud k up = N u with cloud k up = N u and k low = σ N u

31 Lee waves over sin(x)+sin(2x) topography

32 Cloud meets lee wave Vertical velocity at t = 5.0, U=0.5 z x 0.005

33 Cloud meets lee wave Vertical velocity at t = 10.0, U=

34 Cloud meets lee wave Vertical velocity at t = 15.0, U=

35 Cloud meets lee wave Vertical velocity at t = 17.5, U=

36 Cloud meets lee wave Vertical velocity at t = 20.0, U=

37 Cloud meets lee wave Vertical velocity at t = 22.5, U=

38 Cloud meets lee wave Vertical velocity at t = 5.0, U=0.5 z x 0.005

39 Clouds and internal waves Dry flow over a hill, w ASAM Flow code, courtesy Oswald Knoth, IFT, Leipzig, Germany

40 Clouds and internal waves Moist flow over a hill, q c ASAM Flow code, courtesy Oswald Knoth, IFT, Leipzig, Germany

41 Clouds and internal waves Moist flow over a hill, w ASAM Flow code, courtesy Oswald Knoth, IFT, Leipzig, Germany

42 Multiscale Modelling Framework Scalings and Expansion Scheme Exact Closure for the Small Scales Results Nonlinearity for Weak Undersaturation Conclusions

43 Clouds and nonlinear internal waves Original regime: subsaturation O(1) saturated

44 Clouds and nonlinear internal waves Original regime: subsaturation O(1) saturated

45 Clouds and nonlinear internal waves New regime: subsaturation O(ε) saturated

46 Clouds and nonlinear internal waves New regime: subsaturation O(ε) saturated

47 Clouds and nonlinear internal waves Convective scale u τ + x π =0 Analytical microscale closure I C ev = C ev (q vs (z) q v ) q r 1/2 w τ + π z = θ [1 H(q c )] C ev = C(x,z) θ τ + wn 2 = ΓL C p 0 ρ 0 x u +(ρ 0 w) z =0 Cloud column scale ( τ + u η ) w = θ ( τ + u η ) θ + wn 2 = ΓL p 0 C. Moisture coupling C = H(q c ) C d +[1 H(q c )] C ev C d = ( w + w) dq vs dz H(q c ) C d = H(q c ) w + H(q c )w H(q c ) C d = ( w New averaged microscale variables w (x,z,τ)=h(q c ) w σ(x,z)=h(q c ) dqvs dz + σ(x,z) w ) dq vs dz

48 Clouds and nonlinear internal waves Convective scale u τ + x π =0 w τ + π z = θ θ τ + wn 2 = ΓL C p 0 ρ 0 x u +(ρ 0 w) z =0 Cloud column scale ( τ + u η ) w = θ Analytical microscale closure II ( τ + u η ) H(q c ) = 0 ( τ + u η ) H(q c ) w =?? (H(q c ) w) τ =!! w τ = θ analogously θτ + σw N 2 = σ (1 σ)wn 2 + C ( τ + u η ) θ + wn 2 = ΓL p 0 C. Moisture coupling C = H(q c ) C d +[1 H(q c )] C ev where θ (x,z,τ) = H(q c ) θ w (x,z,τ) = H(q c ) w

49 Clouds and nonlinear internal waves New formulation for the saturation indicator function H(q c ): Total moisture conservation ( τ + u η ) H(q c )q c (1) +(1 H(q c ))q v (1) (0) dq(0) vs + w dz =0 ζ: First-order vertical displacement with ( τ + u η ) ζ = w (0) By choice of initial data: H(q c ) H(ζ) and σ H(ζ) saturated

50 Clouds and nonlinear internal waves H(q c ) w = area-integral of w over saturated domain. As in finite volumes with moving boundary: H(q c ) w = H(q c) θ + τ Observation for undersaturated regions A wv n dσ ( τ + u η ) w = θ ( τ + u η ) θ + wn 2 = C d (τ,x,z) Suggestive assumption: w A w us (τ,x,z)

51 Clouds and nonlinear internal waves Coupled micro-macro dynamics on convective scales (with mean advection) u τ + x π =0 w τ + π z = θ θ τ +(1 σ)wn 2 = w N 2 ρ 0 x u +(ρ 0 w) z =0 θ τ w us, θ us are particular solutions of wτ = θ σ + w us τ + σw N 2 = σ(1 σ)wn 2 + θ σ us τ. σ τ =(w + w us) σ 0 ζ (ζ,x,z) w τ = θ θ τ + wn 2 = σ w dq vs dz

52 Multiscale Modelling Framework Scalings and Expansion Scheme Exact Closure for the Small Scales Results Nonlinearity for Weak Undersaturation Conclusions

On the regime of validity of sound-proof model equations for atmospheric flows

On the regime of validity of sound-proof model equations for atmospheric flows On the regime of validity of sound-proof model equations for atmospheric flows Rupert Klein Mathematik & Informatik, Freie Universität Berlin ECMWF, Non-hydrostatic Modelling Workshop Reading, November

More information

Model equations for planetary and synoptic scale atmospheric motions associated with different background stratification

Model equations for planetary and synoptic scale atmospheric motions associated with different background stratification Model equations for planetary and synoptic scale atmospheric motions associated with different background stratification Stamen Dolaptchiev & Rupert Klein Potsdam Institute for Climate Impact Research

More information

Regime(s) of validity of sound-proof models. Sound-proof for small scales, compressible for large scales via scale-dependent time integration

Regime(s) of validity of sound-proof models. Sound-proof for small scales, compressible for large scales via scale-dependent time integration Regime(s) of validity of sound-proof models Sound-proof for small scales, compressible for large scales via scale-dependent time integration Rupert Klein Mathematik & Informatik, Freie Universität Berlin

More information

Asymptotic models for the planetary and synoptic scales in the atmosphere

Asymptotic models for the planetary and synoptic scales in the atmosphere Asymptotic models for the planetary and synoptic scales in the atmosphere Stamen I. Dolaptchiev Institut für Atmosphäre und Umwelt with Rupert Klein (FU Berlin),,1 Outline 1 Planetary scale atmospheric

More information

Analysis of a Multi-Scale Asymptotic Model for Internal Gravity Waves in a Moist Atmosphere

Analysis of a Multi-Scale Asymptotic Model for Internal Gravity Waves in a Moist Atmosphere Analysis of a Multi-Scale Asymptotic Model for Internal Gravity Waves in a Moist Atmosphere Dissertation zur Erlangung des Grades Doktor der Naturwissenschaften am Fachbereich Mathematik & Informatik der

More information

1/18/2011. Conservation of Momentum Conservation of Mass Conservation of Energy Scaling Analysis ESS227 Prof. Jin-Yi Yu

1/18/2011. Conservation of Momentum Conservation of Mass Conservation of Energy Scaling Analysis ESS227 Prof. Jin-Yi Yu Lecture 2: Basic Conservation Laws Conservation Law of Momentum Newton s 2 nd Law of Momentum = absolute velocity viewed in an inertial system = rate of change of Ua following the motion in an inertial

More information

Gravity Waves. Lecture 5: Waves in Atmosphere. Waves in the Atmosphere and Oceans. Internal Gravity (Buoyancy) Waves 2/9/2017

Gravity Waves. Lecture 5: Waves in Atmosphere. Waves in the Atmosphere and Oceans. Internal Gravity (Buoyancy) Waves 2/9/2017 Lecture 5: Waves in Atmosphere Perturbation Method Properties of Wave Shallow Water Model Gravity Waves Rossby Waves Waves in the Atmosphere and Oceans Restoring Force Conservation of potential temperature

More information

Atmospheric dynamics and meteorology

Atmospheric dynamics and meteorology Atmospheric dynamics and meteorology B. Legras, http://www.lmd.ens.fr/legras III Frontogenesis (pre requisite: quasi-geostrophic equation, baroclinic instability in the Eady and Phillips models ) Recommended

More information

Dry atmosphere asymptotics N. Botta 1 R. Klein 1;2;3 A. Almgren 4 September 6, 1999 Abstract Understanding and computing motions in the atmosphere is

Dry atmosphere asymptotics N. Botta 1 R. Klein 1;2;3 A. Almgren 4 September 6, 1999 Abstract Understanding and computing motions in the atmosphere is Dry atmosphere asymptotics N. Botta 1 R. Klein 1;2;3 A. Almgren 4 September 6, 1999 Abstract Understanding and computing motions in the atmosphere is particularly challenging because of the multitude of

More information

Conservation of Mass Conservation of Energy Scaling Analysis. ESS227 Prof. Jin-Yi Yu

Conservation of Mass Conservation of Energy Scaling Analysis. ESS227 Prof. Jin-Yi Yu Lecture 2: Basic Conservation Laws Conservation of Momentum Conservation of Mass Conservation of Energy Scaling Analysis Conservation Law of Momentum Newton s 2 nd Law of Momentum = absolute velocity viewed

More information

Multiscale Asymptotics Analysis for the Mesoscale Dynamics of. Cloud-Topped Boundary Layers. Antony Z. Owinoh. Bjorn Stevens.

Multiscale Asymptotics Analysis for the Mesoscale Dynamics of. Cloud-Topped Boundary Layers. Antony Z. Owinoh. Bjorn Stevens. Generated using version 3.0 of the official AMS L A TEX template Multiscale Asymptotics Analysis for the Mesoscale Dynamics of Cloud-Topped Boundary Layers Antony Z. Owinoh FB Mathematik und Informatik,

More information

Thermodynamic Consistency of a Pseudoincompressible Approximation for General Equations of State

Thermodynamic Consistency of a Pseudoincompressible Approximation for General Equations of State MARCH 202 K L E I N A N D P A U L U I S 96 Thermodynamic Consistency of a Pseudoincompressible Approximation for General Equations of State RUPERT KLEIN Mathematik und Informatik, Freie Universität Berlin,

More information

On the validation study devoted to stratified atmospheric flow over an isolated hill

On the validation study devoted to stratified atmospheric flow over an isolated hill On the validation study devoted to stratified atmospheric flow over an isolated hill Sládek I. 2/, Kozel K. 1/, Jaňour Z. 2/ 1/ U1211, Faculty of Mechanical Engineering, Czech Technical University in Prague.

More information

Chapter 1. Governing Equations of GFD. 1.1 Mass continuity

Chapter 1. Governing Equations of GFD. 1.1 Mass continuity Chapter 1 Governing Equations of GFD The fluid dynamical governing equations consist of an equation for mass continuity, one for the momentum budget, and one or more additional equations to account for

More information

Project 3 Convection and Atmospheric Thermodynamics

Project 3 Convection and Atmospheric Thermodynamics 12.818 Project 3 Convection and Atmospheric Thermodynamics Lodovica Illari 1 Background The Earth is bathed in radiation from the Sun whose intensity peaks in the visible. In order to maintain energy balance

More information

Chapter 2. Quasi-Geostrophic Theory: Formulation (review) ε =U f o L <<1, β = 2Ω cosθ o R. 2.1 Introduction

Chapter 2. Quasi-Geostrophic Theory: Formulation (review) ε =U f o L <<1, β = 2Ω cosθ o R. 2.1 Introduction Chapter 2. Quasi-Geostrophic Theory: Formulation (review) 2.1 Introduction For most of the course we will be concerned with instabilities that an be analyzed by the quasi-geostrophic equations. These are

More information

1/27/2010. With this method, all filed variables are separated into. from the basic state: Assumptions 1: : the basic state variables must

1/27/2010. With this method, all filed variables are separated into. from the basic state: Assumptions 1: : the basic state variables must Lecture 5: Waves in Atmosphere Perturbation Method With this method, all filed variables are separated into two parts: (a) a basic state part and (b) a deviation from the basic state: Perturbation Method

More information

Contents. Parti Fundamentals. 1. Introduction. 2. The Coriolis Force. Preface Preface of the First Edition

Contents. Parti Fundamentals. 1. Introduction. 2. The Coriolis Force. Preface Preface of the First Edition Foreword Preface Preface of the First Edition xiii xv xvii Parti Fundamentals 1. Introduction 1.1 Objective 3 1.2 Importance of Geophysical Fluid Dynamics 4 1.3 Distinguishing Attributes of Geophysical

More information

ρ x + fv f 'w + F x ρ y fu + F y Fundamental Equation in z coordinate p = ρrt or pα = RT Du uv tanφ Dv Dt + u2 tanφ + vw a a = 1 p Dw Dt u2 + v 2

ρ x + fv f 'w + F x ρ y fu + F y Fundamental Equation in z coordinate p = ρrt or pα = RT Du uv tanφ Dv Dt + u2 tanφ + vw a a = 1 p Dw Dt u2 + v 2 Fundamental Equation in z coordinate p = ρrt or pα = RT Du uv tanφ + uw Dt a a = 1 p ρ x + fv f 'w + F x Dv Dt + u2 tanφ + vw a a = 1 p ρ y fu + F y Dw Dt u2 + v 2 = 1 p a ρ z g + f 'u + F z Dρ Dt + ρ

More information

SAMPLE CHAPTERS UNESCO EOLSS WAVES IN THE OCEANS. Wolfgang Fennel Institut für Ostseeforschung Warnemünde (IOW) an der Universität Rostock,Germany

SAMPLE CHAPTERS UNESCO EOLSS WAVES IN THE OCEANS. Wolfgang Fennel Institut für Ostseeforschung Warnemünde (IOW) an der Universität Rostock,Germany WAVES IN THE OCEANS Wolfgang Fennel Institut für Ostseeforschung Warnemünde (IOW) an der Universität Rostock,Germany Keywords: Wind waves, dispersion, internal waves, inertial oscillations, inertial waves,

More information

Meteorology 6150 Cloud System Modeling

Meteorology 6150 Cloud System Modeling Meteorology 6150 Cloud System Modeling Steve Krueger Spring 2009 1 Fundamental Equations 1.1 The Basic Equations 1.1.1 Equation of motion The movement of air in the atmosphere is governed by Newton s Second

More information

BALANCED FLOW: EXAMPLES (PHH lecture 3) Potential Vorticity in the real atmosphere. Potential temperature θ. Rossby Ertel potential vorticity

BALANCED FLOW: EXAMPLES (PHH lecture 3) Potential Vorticity in the real atmosphere. Potential temperature θ. Rossby Ertel potential vorticity BALANCED FLOW: EXAMPLES (PHH lecture 3) Potential Vorticity in the real atmosphere Need to introduce a new measure of the buoyancy Potential temperature θ In a compressible fluid, the relevant measure

More information

196 7 atmospheric oscillations:

196 7 atmospheric oscillations: 196 7 atmospheric oscillations: 7.4 INTERNAL GRAVITY (BUOYANCY) WAVES We now consider the nature of gravity wave propagation in the atmosphere. Atmospheric gravity waves can only exist when the atmosphere

More information

where p oo is a reference level constant pressure (often 10 5 Pa). Since θ is conserved for adiabatic motions, a prognostic temperature equation is:

where p oo is a reference level constant pressure (often 10 5 Pa). Since θ is conserved for adiabatic motions, a prognostic temperature equation is: 1 Appendix C Useful Equations Purposes: Provide foundation equations and sketch some derivations. These equations are used as starting places for discussions in various parts of the book. C.1. Thermodynamic

More information

Modeling the atmosphere of Jupiter

Modeling the atmosphere of Jupiter Modeling the atmosphere of Jupiter Bruce Turkington UMass Amherst Collaborators: Richard S. Ellis (UMass Professor) Andrew Majda (NYU Professor) Mark DiBattista (NYU Postdoc) Kyle Haven (UMass PhD Student)

More information

Governing Equations and Scaling in the Tropics

Governing Equations and Scaling in the Tropics Governing Equations and Scaling in the Tropics M 1 ( ) e R ε er Tropical v Midlatitude Meteorology Why is the general circulation and synoptic weather systems in the tropics different to the those in the

More information

Q.1 The most abundant gas in the atmosphere among inert gases is (A) Helium (B) Argon (C) Neon (D) Krypton

Q.1 The most abundant gas in the atmosphere among inert gases is (A) Helium (B) Argon (C) Neon (D) Krypton Q. 1 Q. 9 carry one mark each & Q. 10 Q. 22 carry two marks each. Q.1 The most abundant gas in the atmosphere among inert gases is (A) Helium (B) Argon (C) Neon (D) Krypton Q.2 The pair of variables that

More information

1 Introduction to Governing Equations 2 1a Methodology... 2

1 Introduction to Governing Equations 2 1a Methodology... 2 Contents 1 Introduction to Governing Equations 2 1a Methodology............................ 2 2 Equation of State 2 2a Mean and Turbulent Parts...................... 3 2b Reynolds Averaging.........................

More information

Circulation and Vorticity

Circulation and Vorticity Circulation and Vorticity Example: Rotation in the atmosphere water vapor satellite animation Circulation a macroscopic measure of rotation for a finite area of a fluid Vorticity a microscopic measure

More information

Chapter 1. Introduction

Chapter 1. Introduction Chapter 1. Introduction In this class, we will examine atmospheric phenomena that occurs at the mesoscale, including some boundary layer processes, convective storms, and hurricanes. We will emphasize

More information

Rotating stratified turbulence in the Earth s atmosphere

Rotating stratified turbulence in the Earth s atmosphere Rotating stratified turbulence in the Earth s atmosphere Peter Haynes, Centre for Atmospheric Science, DAMTP, University of Cambridge. Outline 1. Introduction 2. Momentum transport in the atmosphere 3.

More information

The semi-geostrophic equations - a model for large-scale atmospheric flows

The semi-geostrophic equations - a model for large-scale atmospheric flows The semi-geostrophic equations - a model for large-scale atmospheric flows Beatrice Pelloni, University of Reading with M. Cullen (Met Office), D. Gilbert, T. Kuna INI - MFE Dec 2013 Introduction - Motivation

More information

Lecture #2 Planetary Wave Models. Charles McLandress (Banff Summer School 7-13 May 2005)

Lecture #2 Planetary Wave Models. Charles McLandress (Banff Summer School 7-13 May 2005) Lecture #2 Planetary Wave Models Charles McLandress (Banff Summer School 7-13 May 2005) 1 Outline of Lecture 1. Observational motivation 2. Forced planetary waves in the stratosphere 3. Traveling planetary

More information

Parameterizing large-scale dynamics using the weak temperature gradient approximation

Parameterizing large-scale dynamics using the weak temperature gradient approximation Parameterizing large-scale dynamics using the weak temperature gradient approximation Adam Sobel Columbia University NCAR IMAGe Workshop, Nov. 3 2005 In the tropics, our picture of the dynamics should

More information

The Shallow Water Equations

The Shallow Water Equations The Shallow Water Equations Clint Dawson and Christopher M. Mirabito Institute for Computational Engineering and Sciences University of Texas at Austin clint@ices.utexas.edu September 29, 2008 The Shallow

More information

Introduction to Finite Volume projection methods. On Interfaces with non-zero mass flux

Introduction to Finite Volume projection methods. On Interfaces with non-zero mass flux Introduction to Finite Volume projection methods On Interfaces with non-zero mass flux Rupert Klein Mathematik & Informatik, Freie Universität Berlin Summerschool SPP 1506 Darmstadt, July 09, 2010 Introduction

More information

Motion and structure of atmospheric. mesoscale baroclinic vortices: dry air and. weak environmental shear

Motion and structure of atmospheric. mesoscale baroclinic vortices: dry air and. weak environmental shear Under consideration for publication in J. Fluid Mech. 1 Motion and structure of atmospheric mesoscale baroclinic vortices: dry air and weak environmental shear EILEEN PÄSCHKE 1, PATRIK MARSCHALIK 2, ANTONY

More information

Supporting Information for A Simple Stochastic Dynamical Model Capturing the Statistical Diversity of El Niño Southern Oscillation

Supporting Information for A Simple Stochastic Dynamical Model Capturing the Statistical Diversity of El Niño Southern Oscillation GEOPHYSICAL RESEARCH LETTERS Supporting Information for A Simple Stochastic Dynamical Model Capturing the Statistical Diversity of El Niño Southern Oscillation Nan Chen 1 and Andrew J. Majda 1,2 Corresponding

More information

Goals of this Chapter

Goals of this Chapter Waves in the Atmosphere and Oceans Restoring Force Conservation of potential temperature in the presence of positive static stability internal gravity waves Conservation of potential vorticity in the presence

More information

Dynamics and Kinematics

Dynamics and Kinematics Geophysics Fluid Dynamics () Syllabus Course Time Lectures: Tu, Th 09:30-10:50 Discussion: 3315 Croul Hall Text Book J. R. Holton, "An introduction to Dynamic Meteorology", Academic Press (Ch. 1, 2, 3,

More information

Geophysics Fluid Dynamics (ESS228)

Geophysics Fluid Dynamics (ESS228) Geophysics Fluid Dynamics (ESS228) Course Time Lectures: Tu, Th 09:30-10:50 Discussion: 3315 Croul Hall Text Book J. R. Holton, "An introduction to Dynamic Meteorology", Academic Press (Ch. 1, 2, 3, 4,

More information

On some singular limits for an atmosphere flow

On some singular limits for an atmosphere flow On some singular limits for an atmosphere flow Donatella Donatelli Dipartimento di Ingegneria e Scienze dell Informazione e Matematica Università degli Studi dell Aquila 67100 L Aquila, Italy donatella.donatelli@univaq.it

More information

2. Conservation laws and basic equations

2. Conservation laws and basic equations 2. Conservation laws and basic equations Equatorial region is mapped well by cylindrical (Mercator) projection: eastward, northward, upward (local Cartesian) coordinates:,, velocity vector:,,,, material

More information

Atmospheric Dynamics: lecture 2

Atmospheric Dynamics: lecture 2 Atmospheric Dynamics: lecture 2 Topics Some aspects of advection and the Coriolis-effect (1.7) Composition of the atmosphere (figure 1.6) Equation of state (1.8&1.9) Water vapour in the atmosphere (1.10)

More information

Chapter 5. Fundamentals of Atmospheric Modeling

Chapter 5. Fundamentals of Atmospheric Modeling Overhead Slides for Chapter 5 of Fundamentals of Atmospheric Modeling by Mark Z. Jacobson Department of Civil & Environmental Engineering Stanford University Stanford, CA 94305-4020 January 30, 2002 Altitude

More information

Lecture 25: Ocean circulation: inferences from geostrophic and thermal wind balance

Lecture 25: Ocean circulation: inferences from geostrophic and thermal wind balance Lecture 25: Ocean circulation: inferences from geostrophic and thermal wind balance November 5, 2003 Today we are going to study vertical sections through the ocean and discuss what we can learn about

More information

6 Two-layer shallow water theory.

6 Two-layer shallow water theory. 6 Two-layer shallow water theory. Wewillnowgoontolookatashallowwatersystemthathastwolayersofdifferent density. This is the next level of complexity and a simple starting point for understanding the behaviour

More information

Dynamics of the Zonal-Mean, Time-Mean Tropical Circulation

Dynamics of the Zonal-Mean, Time-Mean Tropical Circulation Dynamics of the Zonal-Mean, Time-Mean Tropical Circulation First consider a hypothetical planet like Earth, but with no continents and no seasons and for which the only friction acting on the atmosphere

More information

Asymmetric inertial instability

Asymmetric inertial instability Asymmetric inertial instability V. Zeitlin Institut Universitaire de France 2 Laboratory of Dynamical Meteorology, University P. and M. Curie, Paris, France UCL, December 2 Instabilities of jets Motivations,

More information

Introduction to Mesoscale Meteorology

Introduction to Mesoscale Meteorology Introduction to Mesoscale Meteorology Overview Scale Definitions Synoptic Synoptic derived from Greek synoptikos meaning general view of the whole. Also has grown to imply at the same time or simultaneous.

More information

PV Thinking. What is PV thinking?

PV Thinking. What is PV thinking? PV Thinking CH 06 What is PV thinking? Two main approaches to solving fluid flow problems:. We can integrate the momentum, continuity and thermodynamic equations (the primitive equations) directly.. In

More information

Instabilities and Basic Convection

Instabilities and Basic Convection Instabilities and Basic Convection Buoyant Instability (gravity is restoring force) Assume a stationary incompressible fluid (like water), so that ρ = ρ 0 + ρ/ z z and also it is in hydrostatic equilibrium

More information

Nonlinear Balance on an Equatorial Beta Plane

Nonlinear Balance on an Equatorial Beta Plane Nonlinear Balance on an Equatorial Beta Plane David J. Raymond Physics Department and Geophysical Research Center New Mexico Tech Socorro, NM 87801 April 26, 2009 Summary Extension of the nonlinear balance

More information

t tendency advection convergence twisting baroclinicity

t tendency advection convergence twisting baroclinicity RELATIVE VORTICITY EQUATION Newton s law in a rotating frame in z-coordinate (frictionless): U + U U = 2Ω U Φ α p U + U U 2 + ( U) U = 2Ω U Φ α p Applying to both sides, and noting ω U and using identities

More information

8/21/08. Modeling the General Circulation of the Atmosphere. Topic 4: Equatorial Wave Dynamics. Moisture and Equatorial Waves

8/21/08. Modeling the General Circulation of the Atmosphere. Topic 4: Equatorial Wave Dynamics. Moisture and Equatorial Waves Modeling the General Circulation of the Atmosphere. Topic 4: Equatorial Wave Dynamics D A R G A N M. W. F R I E R S O N U N I V E R S I T Y O F W A S H I N G T O N, D E P A R T M E N T O F A T M O S P

More information

Convection-driven dynamos in the limit of rapid rotation

Convection-driven dynamos in the limit of rapid rotation Convection-driven dynamos in the limit of rapid rotation Michael A. Calkins Jonathan M. Aurnou (UCLA), Keith Julien (CU), Louie Long (CU), Philippe Marti (CU), Steven M. Tobias (Leeds) *Department of Physics,

More information

Reynolds Averaging. We separate the dynamical fields into slowly varying mean fields and rapidly varying turbulent components.

Reynolds Averaging. We separate the dynamical fields into slowly varying mean fields and rapidly varying turbulent components. Reynolds Averaging Reynolds Averaging We separate the dynamical fields into sloly varying mean fields and rapidly varying turbulent components. Reynolds Averaging We separate the dynamical fields into

More information

2.5 Shallow water equations, quasigeostrophic filtering, and filtering of inertia-gravity waves

2.5 Shallow water equations, quasigeostrophic filtering, and filtering of inertia-gravity waves Chapter. The continuous equations φ=gh Φ=gH φ s =gh s Fig..5: Schematic of the shallow water model, a hydrostatic, incompressible fluid with a rigid bottom h s (x,y), a free surface h(x,y,t), and horizontal

More information

CHAPTER 4. THE HADLEY CIRCULATION 59 smaller than that in midlatitudes. This is illustrated in Fig. 4.2 which shows the departures from zonal symmetry

CHAPTER 4. THE HADLEY CIRCULATION 59 smaller than that in midlatitudes. This is illustrated in Fig. 4.2 which shows the departures from zonal symmetry Chapter 4 THE HADLEY CIRCULATION The early work on the mean meridional circulation of the tropics was motivated by observations of the trade winds. Halley (1686) and Hadley (1735) concluded that the trade

More information

( ) (9.1.1) Chapter 9. Geostrophy, Quasi-Geostrophy and the Potential Vorticity Equation. 9.1 Geostrophy and scaling.

( ) (9.1.1) Chapter 9. Geostrophy, Quasi-Geostrophy and the Potential Vorticity Equation. 9.1 Geostrophy and scaling. Chapter 9 Geostrophy, Quasi-Geostrophy and the Potential Vorticity Equation 9.1 Geostrophy and scaling. We examined in the last chapter some consequences of the dynamical balances for low frequency, nearly

More information

A Simple Dynamical Model Capturing the Key Features of Central Pacific El Niño (Supporting Information Appendix)

A Simple Dynamical Model Capturing the Key Features of Central Pacific El Niño (Supporting Information Appendix) A Simple Dynamical Model Capturing the Key Features of Central Pacific El Niño (Supporting Information Appendix) Nan Chen and Andrew J. Majda Department of Mathematics, and Center for Atmosphere Ocean

More information

Planetary Atmospheres. Structure Composition Clouds Photochemistry Meteorology Atmospheric Escape

Planetary Atmospheres. Structure Composition Clouds Photochemistry Meteorology Atmospheric Escape Planetary Atmospheres Structure Composition Clouds Photochemistry Meteorology Atmospheric Escape Photochemistry We can characterize chemical reactions in the atmosphere in the following way: 1. Photolysis:

More information

2.1 Effects of a cumulus ensemble upon the large scale temperature and moisture fields by induced subsidence and detrainment

2.1 Effects of a cumulus ensemble upon the large scale temperature and moisture fields by induced subsidence and detrainment Atmospheric Sciences 6150 Cloud System Modeling 2.1 Effects of a cumulus ensemble upon the large scale temperature and moisture fields by induced subsidence and detrainment Arakawa (1969, 1972), W. Gray

More information

Chapter 2. The continuous equations

Chapter 2. The continuous equations Chapter. The continuous equations Fig. 1.: Schematic of a forecast with slowly varying weather-related variations and superimposed high frequency Lamb waves. Note that even though the forecast of the slow

More information

Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2)

Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2) Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2) The ABL, though turbulent, is not homogeneous, and a critical role of turbulence is transport and mixing of air properties, especially in the

More information

Geostrophic and Quasi-Geostrophic Balances

Geostrophic and Quasi-Geostrophic Balances Geostrophic and Quasi-Geostrophic Balances Qiyu Xiao June 19, 2018 1 Introduction Understanding how the atmosphere and ocean behave is important to our everyday lives. Techniques such as weather forecasting

More information

Non-hydrostatic sound-proof equations of motion for gravity-dominated compressible fl ows. Thomas Dubos

Non-hydrostatic sound-proof equations of motion for gravity-dominated compressible fl ows. Thomas Dubos Non-hydrostatic sound-proof of for gravity-dominated compressible fl ows Thomas Dubos Laboratoire de Météorologie Dynamique/IPSL, École Polytechnique, Palaiseau, France Fabrice Voitus Centre National de

More information

Waves in Planetary Atmospheres R. L. Walterscheid

Waves in Planetary Atmospheres R. L. Walterscheid Waves in Planetary Atmospheres R. L. Walterscheid 2008 The Aerospace Corporation The Wave Zoo Lighthill, Comm. Pure Appl. Math., 20, 1967 Wave-Deformed Antarctic Vortex Courtesy of VORCORE Project, Vial

More information

The Structure of Precipitation Fronts for Finite Relaxation Time

The Structure of Precipitation Fronts for Finite Relaxation Time Theoretical and Computational Fluid Dynamics manuscript No. (will be inserted by the editor) Samuel N. Stechmann Andrew J. Majda The Structure of Precipitation Fronts for Finite Relaxation Time This Draft:

More information

Quasi-equilibrium Theory of Small Perturbations to Radiative- Convective Equilibrium States

Quasi-equilibrium Theory of Small Perturbations to Radiative- Convective Equilibrium States Quasi-equilibrium Theory of Small Perturbations to Radiative- Convective Equilibrium States See CalTech 2005 paper on course web site Free troposphere assumed to have moist adiabatic lapse rate (s* does

More information

Part-8c Circulation (Cont)

Part-8c Circulation (Cont) Part-8c Circulation (Cont) Global Circulation Means of Transfering Heat Easterlies /Westerlies Polar Front Planetary Waves Gravity Waves Mars Circulation Giant Planet Atmospheres Zones and Belts Global

More information

Dynamics Rotating Tank

Dynamics Rotating Tank Institute for Atmospheric and Climate Science - IACETH Atmospheric Physics Lab Work Dynamics Rotating Tank Large scale flows on different latitudes of the rotating Earth Abstract The large scale atmospheric

More information

Quick Recapitulation of Fluid Mechanics

Quick Recapitulation of Fluid Mechanics Quick Recapitulation of Fluid Mechanics Amey Joshi 07-Feb-018 1 Equations of ideal fluids onsider a volume element of a fluid of density ρ. If there are no sources or sinks in, the mass in it will change

More information

p = ρrt p = ρr d = T( q v ) dp dz = ρg

p = ρrt p = ρr d = T( q v ) dp dz = ρg Chapter 1: Properties of the Atmosphere What are the major chemical components of the atmosphere? Atmospheric Layers and their major characteristics: Troposphere, Stratosphere Mesosphere, Thermosphere

More information

Effect of Turbulent Enhancemnt of Collision-coalescence on Warm Rain Formation in Maritime Shallow Convection

Effect of Turbulent Enhancemnt of Collision-coalescence on Warm Rain Formation in Maritime Shallow Convection Effect of Turbulent Enhancemnt of Collision-coalescence on Warm Rain Formation in Maritime Shallow Convection A. A. WYSZOGRODZKI 1 W. W. GRABOWSKI 1,, L.-P. WANG 2, AND O. AYALA 2 1 NATIONAL CENTER FOR

More information

Parameterizing large-scale circulations based on the weak temperature gradient approximation

Parameterizing large-scale circulations based on the weak temperature gradient approximation Parameterizing large-scale circulations based on the weak temperature gradient approximation Bob Plant, Chimene Daleu, Steve Woolnough and thanks to GASS WTG project participants Department of Meteorology,

More information

ATMOSPHERIC AND OCEANIC FLUID DYNAMICS

ATMOSPHERIC AND OCEANIC FLUID DYNAMICS ATMOSPHERIC AND OCEANIC FLUID DYNAMICS Fundamentals and Large-scale Circulation G E O F F R E Y K. V A L L I S Princeton University, New Jersey CAMBRIDGE UNIVERSITY PRESS An asterisk indicates more advanced

More information

Atmosphere, Ocean and Climate Dynamics Fall 2008

Atmosphere, Ocean and Climate Dynamics Fall 2008 MIT OpenCourseWare http://ocw.mit.edu 12.003 Atmosphere, Ocean and Climate Dynamics Fall 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Contents

More information

Large-scale atmospheric circulation, semi-geostrophic motion and Lagrangian particle methods

Large-scale atmospheric circulation, semi-geostrophic motion and Lagrangian particle methods Large-scale atmospheric circulation, semi-geostrophic motion and Lagrangian particle methods Colin Cotter (Imperial College London) & Sebastian Reich (Universität Potsdam) Outline 1. Hydrostatic and semi-geostrophic

More information

Q. Deng a, NYU Abu Dhabi G. Hernandez-Duenas b, UNAM A. Majda, Courant S. Stechmann, UW-Madison L.M. Smith, UW-Madison

Q. Deng a, NYU Abu Dhabi G. Hernandez-Duenas b, UNAM A. Majda, Courant S. Stechmann, UW-Madison L.M. Smith, UW-Madison Minimal Models for Precipitating Turbulent Convection Q. Deng a, NYU Abu Dhabi G. Hernandez-Duenas b, UNAM A. Majda, Courant S. Stechmann, UW-Madison L.M. Smith, UW-Madison Contours of rain water in a

More information

Generalizing the Boussinesq Approximation to Stratified Compressible Flow

Generalizing the Boussinesq Approximation to Stratified Compressible Flow Generalizing the Boussinesq Approximation to Stratified Compressible Flow Dale R. Durran a Akio Arakawa b a University of Washington, Seattle, USA b University of California, Los Angeles, USA Abstract

More information

Atmospheric Boundary Layers

Atmospheric Boundary Layers Lecture for International Summer School on the Atmospheric Boundary Layer, Les Houches, France, June 17, 2008 Atmospheric Boundary Layers Bert Holtslag Introducing the latest developments in theoretical

More information

1. The vertical structure of the atmosphere. Temperature profile.

1. The vertical structure of the atmosphere. Temperature profile. Lecture 4. The structure of the atmosphere. Air in motion. Objectives: 1. The vertical structure of the atmosphere. Temperature profile. 2. Temperature in the lower atmosphere: dry adiabatic lapse rate.

More information

Model description of AGCM5 of GFD-Dennou-Club edition. SWAMP project, GFD-Dennou-Club

Model description of AGCM5 of GFD-Dennou-Club edition. SWAMP project, GFD-Dennou-Club Model description of AGCM5 of GFD-Dennou-Club edition SWAMP project, GFD-Dennou-Club Mar 01, 2006 AGCM5 of the GFD-DENNOU CLUB edition is a three-dimensional primitive system on a sphere (Swamp Project,

More information

Hydrostatic Equation and Thermal Wind. Meteorology 411 Iowa State University Week 5 Bill Gallus

Hydrostatic Equation and Thermal Wind. Meteorology 411 Iowa State University Week 5 Bill Gallus Hydrostatic Equation and Thermal Wind Meteorology 411 Iowa State University Week 5 Bill Gallus Hydrostatic Equation In the atmosphere, vertical accelerations (dw/dt) are normally fairly small, and we can

More information

( ) = 1005 J kg 1 K 1 ;

( ) = 1005 J kg 1 K 1 ; Problem Set 3 1. A parcel of water is added to the ocean surface that is denser (heavier) than any of the waters in the ocean. Suppose the parcel sinks to the ocean bottom; estimate the change in temperature

More information

References: Parcel Theory. Vertical Force Balance. ESCI Cloud Physics and Precipitation Processes Lesson 3 - Stability and Buoyancy Dr.

References: Parcel Theory. Vertical Force Balance. ESCI Cloud Physics and Precipitation Processes Lesson 3 - Stability and Buoyancy Dr. References: ESCI 340 - Cloud Physics and Precipitation Processes Lesson 3 - Stability and Buoyancy Dr. DeCaria Glossary of Meteorology, 2nd ed., American Meteorological Society A Short Course in Cloud

More information

Needs work : define boundary conditions and fluxes before, change slides Useful definitions and conservation equations

Needs work : define boundary conditions and fluxes before, change slides Useful definitions and conservation equations Needs work : define boundary conditions and fluxes before, change slides 1-2-3 Useful definitions and conservation equations Turbulent Kinetic energy The fluxes are crucial to define our boundary conditions,

More information

OpenFOAM selected solver

OpenFOAM selected solver OpenFOAM selected solver Roberto Pieri - SCS Italy 16-18 June 2014 Introduction to Navier-Stokes equations and RANS Turbulence modelling Numeric discretization Navier-Stokes equations Convective term {}}{

More information

Mid-Level Vorticity, Moisture, and Gross Moist Stability in the Tropical Atmosphere

Mid-Level Vorticity, Moisture, and Gross Moist Stability in the Tropical Atmosphere Mid-Level Vorticity, Moisture, and Gross Moist Stability in the Tropical Atmosphere David Raymond, Saška Gjorgjievska, Sharon Sessions, Carlos López, Željka Fuchs Physics Department and Geophysical Research

More information

Multiple Equilibria in a Cloud Resolving Model: Using the Weak Temperature Gradient Approximation to Understand Self-Aggregation 1

Multiple Equilibria in a Cloud Resolving Model: Using the Weak Temperature Gradient Approximation to Understand Self-Aggregation 1 Multiple Equilibria in a Cloud Resolving Model: Using the Weak Temperature Gradient Approximation to Understand Self-Aggregation 1 Sharon Sessions, Satomi Sugaya, David Raymond, Adam Sobel New Mexico Tech

More information

Internal boundary layers in the ocean circulation

Internal boundary layers in the ocean circulation Internal boundary layers in the ocean circulation Lecture 9 by Andrew Wells We have so far considered boundary layers adjacent to physical boundaries. However, it is also possible to find boundary layers

More information

Dynamic Meteorology (lecture 9, 2014)

Dynamic Meteorology (lecture 9, 2014) Dynamic Meteorology (lecture 9, 2014) Topics Assessment criteria High frequency waves (no rota5on) Boussinesq approxima/on Normal model analysis of the stability of hydrosta/c balance Buoyancy waves and

More information

Lecture 1. Equations of motion - Newton s second law in three dimensions. Pressure gradient + force force

Lecture 1. Equations of motion - Newton s second law in three dimensions. Pressure gradient + force force Lecture 3 Lecture 1 Basic dynamics Equations of motion - Newton s second law in three dimensions Acceleration = Pressure Coriolis + gravity + friction gradient + force force This set of equations is the

More information

Prototype Instabilities

Prototype Instabilities Prototype Instabilities David Randall Introduction Broadly speaking, a growing atmospheric disturbance can draw its kinetic energy from two possible sources: the kinetic and available potential energies

More information

Introduction to tropical meteorology and deep convection

Introduction to tropical meteorology and deep convection Introduction to tropical meteorology and deep convection Roger K. Smith University of Munich A satpix tour of the tropics The zonal mean circulation (Hadley circulation), Inter- Tropical Convergence Zone

More information

Modeling Large-Scale Atmospheric and Oceanic Flows 2

Modeling Large-Scale Atmospheric and Oceanic Flows 2 Modeling Large-Scale Atmospheric and Oceanic Flows V. Zeitlin known s of the Laboratoire de Météorologie Dynamique, Univ. P. and M. Curie, Paris Mathematics of the Oceans, Fields Institute, Toronto, 3

More information

Uniformly accurate averaging numerical schemes for oscillatory evolution equations

Uniformly accurate averaging numerical schemes for oscillatory evolution equations Uniformly accurate averaging numerical schemes for oscillatory evolution equations Philippe Chartier University of Rennes, INRIA Joint work with M. Lemou (University of Rennes-CNRS), F. Méhats (University

More information

The Evolution of Large-Amplitude Internal Gravity Wavepackets

The Evolution of Large-Amplitude Internal Gravity Wavepackets The Evolution of Large-Amplitude Internal Gravity Wavepackets Sutherland, Bruce R. and Brown, Geoffrey L. University of Alberta Environmental and Industrial Fluid Dynamics Laboratory Edmonton, Alberta,

More information

The Vorticity Equation in a Rotating Stratified Fluid

The Vorticity Equation in a Rotating Stratified Fluid Capter 7 Te Vorticity Equation in a Rotating Stratified Fluid Te vorticity equation for a rotating, stratified, viscous fluid Te vorticity equation in one form or anoter and its interpretation provide

More information