Estimation of Gravity Wave Momentum and Drag from High...

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Estimation of Gravity Wave Momentum and Drag from High-Resolution Idealized Baroclinic Wave Simulations Junhong Wei, Fuqing Zhang Department of Meteorology The Pennsylvania State University Friday 15 th August, 2014

Transcript of Estimation of Gravity Wave Momentum and Drag from High...

Page 1: Estimation of Gravity Wave Momentum and Drag from High ...hfip.psu.edu/Groupmeeting/20140814/JWEI_groupmeeting_2014081… · 2014-08-14  · Discussion The 12-km ρu0w0is mostly dominated

Estimation of Gravity Wave Momentum andDrag from High-Resolution Idealized Baroclinic

Wave Simulations

Junhong Wei, Fuqing Zhang

Department of MeteorologyThe Pennsylvania State University

Friday 15th August, 2014

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Part I: Gravity Wave Overview

Generation Mechanisms

TopographyJet imbalanceFrontogenesisConvectionShear InstabilityDensity Current

Impacts of Gravity Waves

Momentum and Energy TransportInduce Clear-Air TurbulenceInitiation and Modulation of Convection

Kim et al. (Atmosphere-Ocean, 2003)

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Part I: Shutts and Vosper (2011)

Observation

NWP models

The overall patterns generally match each other.

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Part I: Wei and Zhang (2014, JAS)

More moisture in the initial condition suggests more energeticgravity wave field at later stage.

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Part I: Motivation

Motivated by Shutts and Vosper (2011), we seek tounderstand the distribution of momentum flux/drag inhigh-resolution idealized baroclinic wave simulations of Weiand Zhang (2014, JAS)

The impact of gravity wave effects on the general circulation

Potential application of gravity wave parameterizations inglobal models

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Part II: Methodology

How to obtain the wave-induced wind perturbation (e.g., u’,w’)?

A high-pass filter is applied to extract wind perturbations withwavelength below 600 km.

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Part II: Methodology

How to calculate momentum flux?

ρEPxz = ρu′w ′ + fN2 v ′b′

The second term in the RHS is ignored in the current study.The bar represents the average over one period/wavelength. Inthe currenty study, the bar is the spatial averaging (11-pointrunning mean along x, then do it again along y).

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Part II: Methodology

How to calculate momentum drag?

The wave-induced forcing of the zonal mean flow is describedby the divergence of the flux vector, namelyDuDt − f v ∗ = −1

ρ∂ραx −

1ρ5 · (ρEPx )

EPx = (EPxx ,EPxy ,EPxz)

In the current study, we only investigate −1ρ∂EPxz∂z

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Part III: 12-km ρu′w ′ (hrz)

The dominance negative values in 12-km ρu′w ′

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Part III: 12-km −1ρ∂EPxz∂z (hrz)

Wave-like structure in 12-km −1ρ∂EPxz∂z

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Part III: ρu′w ′ (crs)

Consistencies among all the experiments

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Part III: −1ρ∂EPxz∂z (crs)

Consistencies among all the experiments

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Discussion

The relationship between energy flux and momentum flux isconstrained by the above relationships.

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Discussion

The breaking levels depends on the source and thebackground wind, which both have seasonal variabilities.(Figure from Kim et al. 2003)

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DiscussionThe 12-km ρu′w ′ is mostly dominated by negative values.Experiments with more initial moisture content suggest largerarea of positive values.

Compared to ρu′w ′ , the 12-km −1ρ∂EPxz∂z looks noisy, and it

has wave-like structure.

After taking averaging over one Baroclinic wavelength, thereare more consistencies between ρu′w ′ and −1

ρ∂EPxz∂z . There

are also consistencies among all the moist runs.

The signs of flux/drag is associated with the wave source andbackground flow, which both may have large seasonalvariabilities.

ρu′w ′ is comparable to ρv ′w ′. Therefore, it is a 2D problem,instead 1D problem.