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A theory for gravity wave generation from jets, fronts and convection - Derivation of a three-part formula and their validation with moist baroclinic life cycle simulations - Christoph Zülicke Leibniz Institute of Atmospheric Physics, Kühlungsborn, Germany Motivation: • GWs: dynamic link between lower and middle atmosphere • GCMs need them parameterized, empirical formulations still contain tuning constants • Unified theoretical approach is needed, in particular for nonorographic GWs • Mesoscale model simulations of moist baroclinic life cycles are used for validation
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A theory for gravity wave generation from jets, fronts and ...

Jun 09, 2022

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Page 1: A theory for gravity wave generation from jets, fronts and ...

A theory for gravity wave generation from jets, fronts and convection

- Derivation of a three-part formula and their validation with moist baroclinic life

cycle simulations -

Christoph Zülicke Leibniz Institute of Atmospheric Physics, Kühlungsborn, Germany

Motivation: • GWs: dynamic link between lower and middle atmosphere • GCMs need them parameterized, empirical formulations still contain tuning constants • Unified theoretical approach is needed, in particular for nonorographic GWs • Mesoscale model simulations of moist baroclinic life cycles are used for validation

Page 2: A theory for gravity wave generation from jets, fronts and ...

Introduction

Inertia-gravity wave (IGW) parameterizations: • orographic: well-established (Lott & Miller, 1997)

• fronts and convection: empirical formulae available (Charron & Manzini, 2002; Chun & Baik, 1998)

• jet streaks: suggested empirical formula (Zülicke & Peters, 2006 and 2008) Develop a unified theoretical approach for non-orographic IGW generation.

Relation between cross-stream ageostrophic wind (left) and wave action (right) from Zülicke & Peters (2008), built on ideas of Uccelini & Koch (1987), Koch & Dorian (1988)…

16 May 2016 Zülicke: Theory for gravity wave generation 2

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16 May 2016 Zülicke: Theory for gravity wave generation 3

Theory balanced flow imbalances intrinsic time scales Lagrangian ageo. Rossby number Hypothesis: All too-fast “slaved” flow is radiated away with

Vg large-scale flow

Va „slaved“ flow

Vi radiated waves

ag fV

dtV

∝gd

QGT Quasi-Geostrophic Theory

FTF Faster-than-f condition

fLV

h

aa >= πω 2

π21

>=h

aa fL

VRo

2

2

=>=

πh

thaifLVVE

aWz

Q∂∂

∝ 0θLA Linear Approximation

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16 May 2016 Zülicke: Theory for gravity wave generation 4

Jet streaks Horizontal motion jet streak exit (Langrangean tangential deceleration) “slaved flow” threshold ~ 4 m/s energy

agg

agg

fudtvd

fvdtud

−=

=

( ) 2/122ggg

jeta

jetgg

vuV

fVDdtVd

+=

−=−=

π2

jethjet

thfLV =

dtVd

fV ggjet

a1

−=

( )2jetth

jeta

jeti VVE −=

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16 May 2016 Zülicke: Theory for gravity wave generation 5

Frontal genesis Frontal evolution Cross-frontal circulation (frontogenesis function) “slaved flow” threshold ~ 0.2 K / 100 km / h energy

agg

agg

wNdtbd

fudtvd

2−=

−=

frontfrontz

front

frontfrontfront

FLfg

Fgz

fx

N

2

20

02

22

2

22 2

θψ

θψψ

∝⇒

=∂

∂+

∂∂

gNfFfront

th

20

21 θπ

=frontfrontz

fronta FL

fgu 20θ

( )22

20

frontth

frontfrontzfront

i FFf

gLE −

=

θ

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16 May 2016 Zülicke: Theory for gravity wave generation 6

Convection cells Latent heating Convection cells (latent heating in linear approximation) “slaved flow” threshold ~ 0.5 K / h energy

QgwNzt

yfu

tv

xfv

tu

aa

aa

a

aa

a

0

2

θφ

φ

φ

+−=∂∂

∂∂

∂∂

−−=∂∂

∂∂

−=∂∂

fL

zQ

convzconv

th ∂∂

= 0

21 θπz

QLLu

conv

convz

convxconv

a ∂∂∝

( )22

0

1 convth

convconvx

convzconv

i QQLL

zE −

∂∂

zQL

xQg

zf

xN

convconvx

conv

convconvconv

∂∂∝⇒

∂∂

=∂

∂+

∂∂

0

02

22

2

22

θψ

θψψ

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16 May 2016 Zülicke: Theory for gravity wave generation 7

Initial meridional cross section with zonal wind (green), EPV contour (bold) and potential temperature (magenta)

Summary of six 50-day-long simulations with the NCAR Weather Research & Forecasting (WRF) model in a f-plane channel of 4000 km x 10000 km x 26 km size

Run codes RH = 0 % RH = 40 % RH = 55 % ∆h = 50 km LOW ∆h = 25 km DRY MOIST HUMID ∆h = 12.5 km HIDRY HIGH

Simulations

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16 May 2016 Zülicke: Theory for gravity wave generation 8

Maps (left) and sections (right) from the MOIST run showing the baroclinic wave with the wind speed (green),

potential temperature (magenta) and the 3-PVU Ertel potential vorticity, …

the gravity waves with the horizontal divergence (red/blue) and the 3-PVU line, …

and the related forcing functions with the cross-stream ageostrophic wind (cyan), the dry quasi-geostrophic

frontogenesis function (orange) and the latent heating (violet).

Structures During the baroclinic wave life cycle, a variety of gravity waves appeared in accord with intensifying jet and front systems including convective activity.

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16 May 2016 Zülicke: Theory for gravity wave generation 9

Energy The height-integrated gravity wave energy (EIGW) was estimated from a three-dimensional harmonic analysis of the horizontal divergence (Zülicke & Peters, 2006). The ratio of eddy-to-gravity wave energy increased from DRY to MOIST. 2 days delay between tropospheric and stratospheric EIGW is likely due to vertical propagation.

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16 May 2016 Zülicke: Theory for gravity wave generation 10

Parameterization Theoretical results are used to construct a parameterized GW energy : Described IGW radiation from several flow regimes with a unified approach and only one dimensionless parameter (generation prefactor Cgen).

The propagation from the troposphere into the stratosphere is included with the other dimensionless parameter (propagation prefactor Cprop) depending on the mean wind and temperature. Characteristic horizontal and vertical scales have been visually estimated and were kept constant for all simulations. The forcing intensities (wind deceleration, frontogenesis function and latent heating) have been taken after 500-km-smoothing.

( )convtropoIGW

fronttropoIGW

jettropoIGWgenprop

parastratoIGW EEECCE ,,,, ++=

Parameterization function for the energy of stratospheric IGWs from tropospheric forces. It consists of dimensionless prefactors (for generation and propagation), and source functions in the jet streak (Lagrangean deceleration), front (fontogenesis function) and convection (latent heating), calculated of 500-km horizonally

smoothed fields.

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16 May 2016 Zülicke: Theory for gravity wave generation 11

Time series Compare the diagnosed stratospheric gravity wave energy with the parameterization, constructed from tropospheric forcing functions. The time series showed high energies in gravity waves and source during the overturn phase.

Time evolution of the stratospheric IGW energy for the (a) DRY and (b) MOIST model runs. (Solid: diagnosed IGW energy EIGW,strato; dashed: parameterized IGW energy (EIGW, strato

para = EIGW, stratojet +

EIGW, stratofront + EIGW, strato

conv ); thin dash-dotted: front-and-jet part; thin dash-dot-dotted: jet part only).

Page 12: A theory for gravity wave generation from jets, fronts and ...

The new non-orographic gravity-wave energy parameterization performed with 93 % explained variance.

16 May 2016 Zülicke: Theory for gravity wave generation 12

Scatter plot of diagnosed versus parameterized mean stratospheric gravity-wave energy for the six model runs. The propagation prefactor (Cprop) is estimated with a simplified WKB model to be about 0.01 which rounds up to the empirically chosen prefactor (Cpara) of 0.012.

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16 May 2016 Zülicke: Theory for gravity wave generation 13

Summary

The generation of gravity waves was related to large-scale faster-than-f modes of the „slaved“ ageostrophic flow covering situations with a jet, front and moist convection. In six WRF simulations, most gravity waves appeared during the overturn phase of the baroclinic wave. The suggested parameterization of gravity wave energy explained about 93 % of the variance. Conclusion A theoretical framework was shown to guide the systematic construction of a new non-orographic gravity-wave source parameterization without tuning constants. Its performance to deal with space-and-time-dependent flows was demonstrated with simulations of an idealized baroclinic wave. Studies of straight and curved jets are planned in a new project „Spontaneous Imbalance“ which is part of the research unit

Publication Mirzaei, M., C. Zülicke, A. R. Mohebalhojeh, F. Ahmadi-Givi & R. Plougonven, 2014: J. Atmos. Sci. 71: 2390 - 2414. doi:10.1175/JAS-D-13-075.1.

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IAP-SI: Project work to complete an explicit IGW parameterization…

Theory Extend to include wavenumbers and the radial deceleration - WP-IAP1 (Student preparation and diagnostics) ↔ SI(GUF,BTU) - WP-IAP2 (Theoretical studies for parameterization) ↔ SI(GUF)

Validation Simulate a variety of flow regimes with straight and curved jets - WP-IAP3 (Idealized WRF simulations) - WP-IAP5 (Validation of parameterization with WRF simulations)

E , k, l, m, ω Energy, wavenumbers and frequency as

elements of the parameterization

Idealized straight and curved jets to be simulated for validation

02 Jul 2015 IAP-SI 14

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IAP-SI: … and its application Applications

Use the parameterization for the diagnosis of SI sources - WP-IAP4 (Validation with rotating annulus experiment) ↔ SI(GUF,BTU) - WP-IAP6 (Application in a global context) ↔ SV(FZJ), GWING(MPI,DWD) and, in the second project phase, for the prediction of gravity wave traces.

Laboratory experiments with the rotating annulus by

SI(BTU, GUF)

Global satellite observations & ray tracing experiments by SV(FZJ)

Global simulations with MA-ICON by

GWING(MPI,DWD)

02 Jul 2015 IAP-SI 15