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Eddy-wind interaction in the California Current System effects on - - PowerPoint PPT Presentation

Eddy-wind interaction in the California Current System effects on eddy kinetic energy and Ekman pumping Hyodae Seo Woods Hole Oceanographic Institution KIOST December 19, 2014 Eddy-wind interaction via SST = C D (U a U o ) |U a


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Hyodae Seo

Woods Hole Oceanographic Institution

Eddy-wind interaction in the California Current System

— effects on eddy kinetic energy and Ekman pumping

KIOST December 19, 2014

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d s

Surface temperature and height 2

a b

2 1 1 0.5 –0.5 0.25 –0.25 –1 –2 –2 –1 with contour interval = 0.5 cm da 6 3 –3 –6 2 surface temperature 2 2 1 1 –1 –2 –2 –1

U⊕ D⊖ τ

Dipole Ekman velocity SST and SSH

Ekman pumping anomaly 90° out of phase with SSH → Southward propagation of an eddy (e.g., Dewar and Flierl 1987) Uniform eastward wind over an anticyclonic eddy in the Southern Ocean (Chelton 2013)

Eddy-wind interaction via SST

τ = ρ CD (Ua− Uo) |Ua − Uo|

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Correlation (SST & wind): high-passed Satellite observations: Xie 2004

10m wind Ua= Uab + UaSST

d s

Surface temperature and height 2

a b

2 1 1 0.5 –0.5 0.25 –0.25 –1 –2 –2 –1 with contour interval = 0.5 cm da 6 3 –3 –6 2 surface temperature 2 2 1 1 –1 –2 –2 –1

U⊕ D⊖ τ

Dipole Ekman velocity SST and SSH

Ekman pumping anomaly 90° out of phase with SSH → Southward propagation of an eddy (e.g., Dewar and Flierl 1987) Uniform eastward wind over an anticyclonic eddy in the Southern Ocean (Chelton 2013)

Eddy-wind interaction via SST

τ = ρ CD (Ua− Uo) |Ua − Uo|

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Correlation (SST & wind): high-passed Satellite observations: Xie 2004

10m wind Ua= Uab + UaSST

stronger wind over warmer SST Uab

d s

Surface temperature and height 2

a b

2 1 1 0.5 –0.5 0.25 –0.25 –1 –2 –2 –1 with contour interval = 0.5 cm da 6 3 –3 –6 2 surface temperature 2 2 1 1 –1 –2 –2 –1

U⊕ D⊖ τ

Dipole Ekman velocity SST and SSH

Ekman pumping anomaly 90° out of phase with SSH → Southward propagation of an eddy (e.g., Dewar and Flierl 1987) Uniform eastward wind over an anticyclonic eddy in the Southern Ocean (Chelton 2013)

Eddy-wind interaction via SST

τ = ρ CD (Ua− Uo) |Ua − Uo|

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surface current Uo=Uob + Uoe

surface current We=τ/[ρ(f+ζ)]

d s

Surface temperature and height 2

a b

2 1 1 0.5 –0.5 0.25 –0.25 –1 –2 –2 –1

2 2 1 1 –1 –2 –2 –1

with contour interval = 0.5 cm da 6 3 –3 –6 2

U⊕ τ τ

Eddy-wind interaction via current

SST and SSH Monopole Ekman velocity

with contour interval = 0.5 cm da 6 3 –3 –6 2 surface temperature 2 2 1 1 –1 –2 –2 –1

U⊕ D⊖ τ Dipole Ekman velocity Feedback to ocean would be different! Upwelling at the center of an anti-cyclonic eddy: decaying of an anticyclonic eddy

τ = ρ CD (Ua− Uo) |Ua − Uo|

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surface current Uo=Uob + Uoe resulting wind stress τ ≈ τb + τSST + τcur 10m wind Ua= Uab + UaSST

Eddy-wind interaction: SST and current

τ = ρ CD (Ua− Uo) |Ua − Uo|

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surface current Uo=Uob + Uoe resulting wind stress τ ≈ τb + τSST + τcur 10m wind Ua= Uab + UaSST

Relative effects of τSST and τcur on the ocean?

foci of this study: EKE and Ekman pumping

Eddy-wind interaction: SST and current

τ = ρ CD (Ua− Uo) |Ua − Uo|

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25% reduction of EKE with SST

  • τ coupling

SST

  • τ coupling effect weakens the eddies:

an idealized ocean model by Jin et al. (2009)

  • SST
  • τ coupling reduces the alongshore wind stress, baroclinic

instability and offshore Ekman transport. uncoupled EKE coupled EKE

uncoupled SST coupled SST

Wall Upwelling

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Uo-τ coupling effect also damps the EKE: an OGCM study by Eden and Dietze (2009)

  • 10% reduction in EKE in the mid-latitudes and ~50% in the tropics
  • Primarily due to increased eddy drag (τʹ·uʹ, direct effect)
  • Change in baroclinic and barotropic instability (indirect effect) of

secondary importance

uncoupled EKE coupled EKE

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Result from previous studies and goal of this study

  • Previous studies considered either SST or Uo

in τ formulation in ocean-only models and saw weakened eddy variability.

  • This study examines the relative magnitudes of

SST and usfc effects in a fully coupled regional model.

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Regional coupled model

  • Seo et al. 2007, 2014
  • An input-output based

coupler; portable & flexible

  • 7 km O-A resolutions &

matching mask

  • 6-yr integration (2005-2010)

WRF or bulk physics

τ (Q & FW)

Ocean

6-h NCEP FNL monthly SODA

WRF ROMS

Scripps Coupled Ocean-Atmosphere Regional Model

6-h coupling

Atmosphere

SST & Usfc

Smoothing of mesoscale SST and Uo (Putrasahan et al. 2013) Utot Te Ue Tb Ttot Ub 5° loess smoothing (~3° boxcar smoothing) Similar results with different smoothing (e.g, 3° loess smoothing)

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Experiments Experiments τ τ formulation ation includes es CTL Tb Te Ub Ue noTe Tb Te Ub Ue noUe Tb Te Ub Ue noTeUe Tb Te Ub Ue noUtot Tb Te Ub Ue Ttot = Tb + Te Utot = Ub+ Ue

5° loess filtering (≈ 3° boxcar smoothing)

τ=ρCD(Ua-Uo)|Ua-Uo|

✔ ︎ ✔ ︎ ✔ ︎

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Eddy kinetic energy

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Eddy kinetic energy

  • Te no impact • 25% weaker EKE with Ue • 30% weaker EKE with Ub+Ue

Drifter climatology

Marchesiello et al. 2003

CTL noTe noTeUe noUe noUtot

cm2s-2

JAS 2005-2010

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Eddy kinetic energy

  • Te no impact • 25% weaker EKE with Ue • 30% weaker EKE with Ub+Ue

Drifter climatology

Marchesiello et al. 2003

CTL noTe noTeUe noUe noUtot

cm2s-2

JAS 2005-2010

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Monthly EKE time-series

— CTL = 171 — noTe = 174 — noUe = 231 — noTeUe = 230 — noUtot = 247 25-30% EKE difference

High EKE in summer, low in winter Reduced eddy activity in both seasons!

summer winter

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Eddy kinetic energy budget

Ket + ! U ⋅ ! ∇ ! Ke+ # ! u ⋅ ! ∇ ! Ke+ ! ∇⋅( # ! u # p ) =

−g " ρ " w + ρo(− " ! u ⋅( " ! u ⋅ ! ∇ ! U))+ " ! u ⋅ !" τ +ε

Pe → Ke baroclinic conversion (BC) Km → Ke barotropic conversion (BT) Wind work (P) EKE source if positive Eddy drag and dissipation (ε) if negative

Upper 100 m average H~fL/N, where f=10-4, L=104m, N=10-2 → H=102m

advection by mean and eddy current (offshore)

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BC BT P

u′τx′ v′τy′

Summertime EKE budget in CTL

150 m average

  • v’τy’: Source of EKE
  • v’ is a linear response to nearshore τy’
  • u’τx’: Dissipating EKE
  • Eddies (via u’) “systematically” oppose

τx’ in the upwelling zone v′ τy′ u′ τx′

  • P a primary source of

EKE.

  • BC secondary and

BT negligible

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BC BT P

u′τx′ v′τy′

Summertime EKE budget in CTL

150 m average

  • v’τy’: Source of EKE
  • v’ is a linear response to nearshore τy’
  • u’τx’: Dissipating EKE
  • Eddies (via u’) “systematically” oppose

τx’ in the upwelling zone v′ τy′ u′ τx′

  • P a primary source of

EKE.

  • BC secondary and

BT negligible along-shore mean

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Cross-shore distribution of EKE and key EKE budget terms

  • EKE maximum offshore

at 150km

  • P maximum near the

coast (20-30 km) by

  • ffshore advection
  • No significant change in

BC bet’n CTL noTe

  • Some reduction of

BC in noUe

  • Decreased wind work
  • noUe ➞ CTL: 20%

reduction

1.26 1.33 1.57 50 50 77

P

cross-shore distance (km)

BC EKE

[cm2s-2] [10-5kgs-1m-3]

— CTL — noTe — noUe 0.58 0.58 0.51

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Eddies increase the eddy drag and reduce the momentum input.

42% stronger eddy drag 16% weaker wind work CTL=1.74 noTe=1.86 noUe=1.90 CTL=-0.47 noTe=-0.53 noUe=-0.33

[10-5kgs-1m-3] [10-5kgs-1m-3]

u′τx′ = eddy drag v′τy′= wind work

eddy drag wind work

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Ekman pumping velocity

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˜ Wtot = Wcur + WSST = r ⇥ ˜ τ τ τ ρo (f + ζ) | {z }

˜ Wc

  • 1

ρo (f + ζ)2 ✓ ˜ τ y ∂ζ ∂x ˜ τ x∂ζ ∂y ◆ | {z }

˜ Wζ

+ β˜ τ x ρo (f + ζ)2 | {z }

˜ Wβ

+ r ⇥ τ τ τ 0

SST

ρo (f + ζ) | {z }

WSST

. (10) Wtot = 1 ρo r ⇥ ✓ τ τ τ (f + ζ) ◆ r ⇥ τ τ ⇥ r

Stern 1965

Ekman pumping velocity

background wind stress

Wlin Wζ Wβ WSST

Curl-induced linear Ekman pumping Vorticity gradient-induced nonlinear Ekman pumping β Ekman pumping (negligible) SST induced Ekman pumping

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Chelton et al. 2004

WSST = ∇× # τ SST ρo f +ζ

( )

≈ αc∇cSST ρo f +ζ

( )

▽cTʹ ▽×τ′ αC αC

Positive empirical relationship

Kuroshio Gulf Stream ▽×τ′=αC▽cTʹ

COOL WARM

COOL WARM

τ

ˆ θ

ˆ

▽dT= (▽T·τ)ʹ ▽cT =(▽T×τ)ʹ·k ˆ

▽T

SST

  • induced Ekman pumping velocity
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Wind stress curl and cross-wind SST gradient

WSST = ∇× # τ SST ρo f +ζ

( )

≈ αc∇cSST ρo f +ζ

( )

noTe noUe OBS αc=0.8 αc=0.6

▽cTʹ[°C per 100km]

CTL αc=0.6 αc=0.1

▽×τ′

[Nm-2 per 107m]

JAS 2005-2009; QuikSCAT wind stress and TRMM SST

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Ekman pumping velocity OBS

Wlin Wζ Wsst Wtot Wlin Wζ Wsst Wtot

CTL

JAS 2005-2009

m/day

JAS climatology

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Ekman pumping velocity JAS climatology noTe noUe

Wlin Wζ Wsst Wtot Wlin Wζ Wsst Wtot JAS 2005-2009

m/day

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▽cTʹ Wek Wek vs ▽cTʹ

Wctl-WnoTe

r=-0.06 ζ Wek vs ζ Wek

Wctl-WnoUe

r=-0.3 JAS 2005-2009 CTL Wek CTL-noTe CTL-NoUe

SST

  • induced and current-induced Ekman pumping velocity
  • SST and vorticity induce

the Wek responses of comparable magnitudes but with distinctive spatial pattern.

  • indicative of different

feedback processes

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Summary

  • Surface EKE is weakened almost entirely due to

mesoscale current effect on wind stress.

  • SST has no impact (at odds with some previous

studies)

  • EKE budget: eddies enhance the eddy drag and weaken

the wind work.

  • Thus eddies have both direct and indirect impact.
  • Eddies modify Ekman pumping velocity.
  • SST via a linear relationship between ▽×τ′ and ▽cTʹ.
  • Current via gradient of surface vorticity.
  • Ekman pumping velocities due to SST and current are

comparable in magnitude but different in spatial pattern.

  • Implying different feedback processes
  • Subject of ongoing study.
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Thanks!