Storm track response to ocean fronts in a global high resolution climate model
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Department of Energy. Storm track response to Ocean Fronts in a global high-resolution climate model. R. Justin Small, Frank Bryan and Bob Tomas NCAR Young-Oh Kwon WHOI + 2 anonymous reviewers. Aims. Investigate influence of ocean fronts on atmospheric storm track in winter

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Storm track response to Ocean Fronts in a global high-resolution climate model

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Storm track response to ocean fronts in a global high resolution climate model

Department of Energy

Storm track response to Ocean Fronts in a global high-resolution climate model

R. Justin Small, Frank Bryan and Bob Tomas

NCAR

Young-Oh Kwon

WHOI

+ 2 anonymous reviewers


Storm track response to ocean fronts in a global high resolution climate model

Aims

  • Investigate influence of ocean fronts on atmospheric storm track in winter

    • Surface storm track

    • Free-troposphere storm track

  • What are the key storm track statistics that are affected?

  • What affects baroclinicity?

  • Using a global atmospheric climate model

    • 1. North Atlantic

    • 2. Southern Ocean

    • 3. North Pacific


Experiments

Experiments

  • Community Atmosphere Model version 4

    • Developed at NCAR, Department of Energy, US labs

    • Hydrostatic, sigma-coordinate global model

    • ½ deg. grid spacing, 27 levels (<6 in lowest 1000m).

  • Twin experiments, atmosphere-only.

    • 1. Control has realistic SST in region (e.g. N. Atlantic)

    • 2. Smooth Global SST experiment

    • SST is a climatology based on satellite/in situ data (1/4deg., Reynolds et al 2007).

  • Each run for 60 years to gain some statistical significance.


Storm track response to ocean fronts in a global high resolution climate model

Methods and Data

  • We use a high pass filter

    • V’=V-<V>

    • where <V> is 5-day mean at surface, seasonal mean or monthly mean in free troposphere

  • Compute climatological mean of quantities such as <V’V’> , <V’T’>

  • Apply smoothing to SST fields as boundary condition for AGCM.

  • 1

    • 4000 passes of 1-4-1 filter

    • 1

  • Comparisons are made with ERA-INTERIM data 1979-2009 (ERA-I) and OAFLUX, QSCAT


Storm track response to ocean fronts in a global high resolution climate model

(b)

(a)

SMOOTH SST EXPERIMENT

SST FOR CONTROL

(c)

(d)

SST gradient difference

SST DIFF

SST difference

C /100km

North Atlantic case, Boreal winter (DJF).


Frequency distribution of strong sst gradients

Frequency distribution of strong SST gradients

Low-res coupled model

High-res coupled model

Reynolds OI SST 1/4deg.

Histograms of occurrence of binned SST gradients within 1deg. C/100km contour in North Atlantic including Gulf Stream. Uses data from DJF climatology. Units deg.C per 100km.

Light smoothing of Reynolds OI SST 1/4deg.

Heavy smoothing of Reynolds OI SST 1/4deg.


What storm track quantities are significantly affected by ocean front and what quantities are not

What storm track quantities are significantly affected by ocean front and what quantities are not?


Storm track response to ocean fronts in a global high resolution climate model

(a)

(b)

Relative vorticity variability

SMTH

10-6s-1

OAFLUX obs- Joyce and Kwon 2009

Std.dev(’) Smooth

(c)

(d)

10-5s-1

control

30%

10-6s-1

10-6s-1

Std.dev(’) Control

Diff in Std.dev(’) +SST anomaly

Standard deviation of near –surface transient eddy vorticity variability. Filtered to retain only timescales less than 5 days. Note that differences (control-smooth, bottom right panel) of std. dev (’) overly SST anomalies, and reach up to 30% of smooth value.


Storm track response to ocean fronts in a global high resolution climate model

SMOOTH

CONTROL

hPa

hPa

Add significance

DIFFERENCE

hPa

hPa

SEA LEVEL PRESSURE VARIABILITTY. SLP sub-5day variability and differences


Storm track response to ocean fronts in a global high resolution climate model

SMOOTH

CONTROL

10-6s-1

10-6s-1

GEOSTROPHIC VORTICITY variability.

DERIVED JUST FROM SLP.

Surface geostrophic vorticity sub-5day

variability

and differences

25-30%

DIFFERENCE

10-6s-1


Atlantic djf meridional heat flux

Atlantic DJF: Meridional Heat Flux

30%

V’T’ ERA-I

V’T’ Control

V’T’ Diffn.

Control-Smooth

V’T’ ERA-I

ms-1K

ms-1K

ms-1K

Transient eddy meridional heat flux 850hPa

25%

Control-Smooth

V’T’ ERA-I

V’T’ Control

V’T’

ms-1C

ms-1K

ms-1K

ms-1K

Transient eddy meridional heat flux 500hPa

In the right panel only differences significant at 95% are shown, and contours show SST differences of +/- 2C from Fig. 1c. The number shown is the approx. ratio of the amplitude of the difference to the amplitude of the maximum in the smooth case, expressed as a percentage.


Atlantic djf meridional wind variance

Atlantic DJF: Meridional wind variance

15%

7% std. dev

V’V’ ERA-I

V’V’ ERA-I

V’V’ Control

V’V’

Control-Smooth

m2s-2

m2s-2

m2s-2

Transient eddy meridional wind variance 850hpa

10%

V’V’ ERA-I

Control-Smooth

V’V’ Control

V’V’

m2s-2

m2s-2

m2s-2

m2s-2

Transient eddy meridional wind variance 500hpa

Low-light– CAM wind variance (& heat-flux) is too high compared to ERA-I and MERRA . Therefore adding the ocean front worsens the comparison.


Storm track response to ocean fronts in a global high resolution climate model

BAROCLINICITY

  • WHAT COUNTERS THE EFFECT OF EDDIES IN REMOVING TEMPERATURE GRADIENT?

  • Latent heat release over western boundary currents helps maintain baroclinicity (Hoskins Valdes 1990,JAS)

  • Sensible heating maintains baroclinicity and anchors storm track (Nakamura et al 2008 GRL, Nonaka et al 2009, Sampe and Nakamura 2010 JCLIM, Ogawa et al 2012, Hotta and Nakamura 2011)


Storm track response to ocean fronts in a global high resolution climate model

Baroclinicity

(a)

(b)

(c)

SMTH

950hPa

ATL

50%

(d)

(e)

(f)

Baroclinicity

SMTH

850hPa

ATL

30%

Eady (1949)- growth rate of most unstable mode

Differences reduce to 7% at 500hPa


Storm track response to ocean fronts in a global high resolution climate model

BOUNDARY LAYER HEAT BUDGET –

HOR. ADVECTION

VER. ADVECTION

-d/dy V’T’

-d/dz W’T’

Thermodynamic potential temperature budget at 950hPa. Units degC./day.

DJF climatology mean (from 10 years)

sensible Heating

Condensational Heating


Storm track response to ocean fronts in a global high resolution climate model

FREE TROPOSPHERE HEAT BUDGET –

Heat budget at 850hPa

HOR. ADVECTION

VER. ADVECTION

-d/dy V’T’

-d/dz W’T’

Thermodynamic potential temperature budget at 850hPa. Units degC./day.

DJF climatology mean (from 10 years)

Condensational Heating

sensible Heating


Storm track response to ocean fronts in a global high resolution climate model

TRANSIENT EDDY HEAT FLUX DIVERGENCE – CONTROL BY OCEAN FRONT

(a)

(b)

SMTH

ATL

(c)

Vertically integrated total eddy heat flux divergence (color), for a) the SMTH case, b), ATL case and c) their difference. The corresponding climatological SST is shown as contours in a, b) and SST difference in c).

SEE KWON AND JOYCE PRESENTATION


A few results from southern ocean focusing on south indian ocean

A few results from Southern Ocean focusing on South Indian Ocean.


Storm track response to ocean fronts in a global high resolution climate model

(b)

(a)

V’T’ 850 DIFF

SST DIFFERENCE

25%/83%

ms-1K

(c)

(f)

SST GRAD DIFF

(SMOOTH)

33%

BAROCLINICITY DIFF

C /100km

SOUTHERN OCEAN CASE, JJA. Relationship of transient eddy heat flux to SST gradient.


Storm track response to ocean fronts in a global high resolution climate model

(a)

SMTH CASE

10-5m2s-1

(b)

CONTROL CASE

10-5m2s-1

SOUTHERN OCEAN CASE. Effective eddy diffusivity- eddy heat flux divided by mean temperature gradient


Mean circulation response and interannual variability

Mean circulation response and interannual variability


Storm track response to ocean fronts in a global high resolution climate model

(a)

(b)

U950 MEAN

SEA LEVL PRESSURE

DIFF

ms-1

hPa

(c)

(d)

U950DIFF

Z500 DIFF

20% reduction of zonal wind

ms-1

gpm

gpm

Fig. 1. Circulation response in the North Atlantic in DJF. a, c, d) show diffeernce between the ATL and SMTH runs for a) The sea level pressure, c) the 950hPa zonal wind and d) 500hPa geopotential height. Here stipling denotes 95% significance according to the t-test. b) shows the climatological mean zonal wind at 950hPa in the SMTH case.


Storm track response to ocean fronts in a global high resolution climate model

(a)

U250 MEAN

ms-1

(b)

DIFF IN U250 INTERANNUAL STANDARD DEVIATION

30%

ms-1

Fig. 2. a) The climatological mean 250hpa zonal wind (U250) in the SMTH case for DJF over the North Atlantic. B) the difference in standard deviation of U250 between ATL and SMTH run. Stipling in b) denotes 95% significance according to the f-test.


Storm track response to ocean fronts in a global high resolution climate model

Conclusions

  • Ocean fronts induce large (~30%) changes in heat flux, moisture flux (~40%), and precip. in winter

    • Reaching well above the boundary layer – to > 500hPa

    • vorticity variance at surface (~30%)

  • Smaller influence on wind (~10%) and sea level pressure (few% locally) variance

  • Baroclinicity and eddy heat flux

    • Maintained by sensible heating in boundary layer

    • Condensational heating above that

    • In Southern ocean v’T’~ dT/dy

  • Results may be (very) model-dependent


Storm track response to ocean fronts in a global high resolution climate model

Heat budget at 950hPa – diff unsmoothed minus smoothed


Storm track response to ocean fronts in a global high resolution climate model

Heat budget at 850hPa – diff unsmoothed minus smoothed

HOR. ADVECTION

VER. ADVECTION

-d/dy V’T’

-d/dz W’T’

sensible Heating

Condensational Heating


Storm track response to ocean fronts in a global high resolution climate model

(a)

(b)

(b)

(c)

Sens. Ht.

dT/dt 950hPa

T 950hPa

Kday-1

Wm-2

(f)

(d)

(e)

T850 diff.

Lat. Ht.

dT/dt 850hPa

T 850hPa

Wm-2

Kday-1

(h)

(i)

(g)

dT/dt 500hPa

T 500hPa

Total Prec.

mmday-1

Kday-1

Fig. 14. Surface heating and tropospheric temperature differences between ATL and SMTH run. a, d, g) show surface sensible heating, surface latent heating, and precipitation respectively. b), e, and h) show temperature tendency at 950hPa (from sensible heat), and 850hPa and 500hPa (from condensational heating.) c), f), and I) show the corresponding air potential temperature. In right panels the corresponding SST anomalies of +2C(-2C) are shown as thick (thin) solid lines.


Methods

Methods

ERA-INTERIM “heat flux” V’T’ for DJF for different frequency bands

ERA, 5 day

ERA, 30 day

ERA, 90 day

ms-1K

ms-1K

ms-1K


Frequency response

Frequency response

25deg.


Discussion

Discussion

  • Results get slightly shaky from here on…


Storm track response to ocean fronts in a global high resolution climate model

(a)

To-2

(b)

To-

Strong baroclinicity

Weak baroclinicity

T’=4

T’=2

To+2

To+

Noting that v’T’ ~ baroclinicity (T) leads to possible:

Mechanism 1. Mixing length.

Figure 17. Schematic showing scenarios for increases to v’T’ due to an ocean front. The solid lines are hypothetical isotherms deliniating a kink in a baroclinic zone (developing into a cold and warm front.) In a), b) there is no notable change to the displacement of the isotherm (no change to v’)


Storm track response to ocean fronts in a global high resolution climate model

Strong baroclinicity

(c)

t=t1

t=t2

t=t0

(d)

Weak baroclinicity

t=t0

t=t2

t=t1

Eady growth rate would suggest…

Mechanism 2. growth rate ~ T

Figure 17. Schematic showing possible scenarios for increases to v’T’ due to an ocean front. The solid lines are hypothetical isotherms deliniating a kink in a baroclinic zone (developing into a cold and warm front.) In c), d) there is a notable change to the displacement of the isotherm (change to v’). In c, d) a stronger baroclinicity leads to larger growth rate and displacements leads to larger changes in v’T’, particularly later in wave development.


A note on dynamical fields

A note on dynamical fields


Storm track response to ocean fronts in a global high resolution climate model

SMTH

ATL

ATL

hPa

hPa

Add significance

hPa

hPa

Sea Level Pressure sub-5day variability and differences


Storm track response to ocean fronts in a global high resolution climate model

11%

ms-1

ALL GEOSTROPHIC

Surface geostrophic V sub-5day differences

30%

10-5s-1

Surface geostrophic vorticity sub-5day differences


Storm track response to ocean fronts in a global high resolution climate model

Comparison with Aquaplanet

C per 100km

Nakumura, Sampe et al. 2008, Sampe et al. 2010.

Maximum SST gradient changed by factor ~6 in zonal mean.

SST anomalies 5C or more (all one-sign) in zonal mean.

SMOOTH

CONTROL

C /100km

C /100km

Maximum SST gradient changed by factor ~3 locally (smaller in zonal mean).

SST anomalies up to 5C locally, more typically 2C or less and have both signs.


Conclusions

Conclusions

  • Ocean fronts induce large (~30%) changes in heat flux, moisture flux (~40%), vorticity variance, and precipitation in winter

    • Reaching well above the boundary layer – to > 500hPa

  • Smaller influence on wind (~10%) and sea level pressure (few% locally) variance

  • Comparison with reanalysis:

    • Model Heat flux agrees well with ERA-I and MERRA in Atlantic, is too high in Southern Ocean

    • Model wind variance is too high in both regions

  • Results may be (very) model-dependent


Way ahead

Way ahead

Moving to CAM-5, high-resolution

  • Improved convection schemes etc.

  • ¼ deg, 30 levels

  • maybe 1/8deg, more vertical levels

    Coupled simulations

  • ocean model 1/10th deg. Parallel Ocean Program (POP)

  • 40+ years so far

    Spatial filtering on-line in model coupler (for SST, fluxes etc.)

    Show animation (if audience still awake)


Storm track response to ocean fronts in a global high resolution climate model

Do ocean fronts influence storm tracks?

  • Strong influence

    • Latent heat release over western boundary currents helps maintain baroclinicity (Hoskins Valdes 1990)

    • Ocean fronts essential to eddy variability associated with polar front jet (Nakamura et al 2008)

  • Moderate Influence

    • Ocean dynamics shifts location of storm track (Wilson et al. 2009, Brayshaw et al. 2011)

  • No influence

    • Self-maintenance, eddies and mean jet, no role of ocean (Robinson 2006)


Cam model

CAM model

Courtesy Joe Tribbia, NCAR


Storm track response to ocean fronts in a global high resolution climate model

Gulf Stream and atmospheric convection

CCSM. From Bryan et al 2010. FIG. 4. Laplacian of sea level pressure (color, 1029 Pa m22) and horizontal convergence of lowest model level wind

(contours, interval 2 3 1026 s21, negative values dashed) for the winter season (Nov-Feb) in the Gulf Stream region: high-res CCSM4.

From Minobe et al 2008. Low level convergence proportional to Laplacian of sea level pressure and to Laplacian of SST.


Storm track response to ocean fronts in a global high resolution climate model

Vertically integrated total eddy heat flux divergence

Meridional component only i.e. d/dy v’T’ etc


Atlantic djf 850hpa

Atlantic DJF: 850hPa

Transient eddy “heat flux”

30%

V’T’ ERA-I

V’T’ Control

V’T’ Diffn.

V’T’ ERA-I

Control-Smooth

ms-1K

ms-1K

ms-1K

Transient eddy meridional wind variance

15%

7% std. dev

V’V’ ERA-I

V’V’ ERA-I

V’V’ Control

V’V’

Control-Smooth

m2s-2

m2s-2

m2s-2

In the right panel only differences significant at 95% are shown, and contours show SST differences of +/- 2C from Fig. 1c. The number shown is the approx. ratio of the amplitude of the difference to the amplitude of the maximum in the smooth case, expressed as a percentage.


Atlantic djf 500hpa

Atlantic DJF: 500hPa

Transient eddy “heat flux”

25%

Control-Smooth

V’T’ ERA-I

V’T’ Control

V’T’

ms-1C

ms-1K

ms-1K

ms-1K

Transient eddy meridional wind variance

10%

V’V’ ERA-I

Control-Smooth

V’V’ Control

V’V’

m2s-2

m2s-2

m2s-2

m2s-2

Low-light– CAM wind variance (& heat-flux) is too high compared to ERA-I and MERRA . Therefore adding the ocean front worsens the comparison.


Storm track response to ocean fronts in a global high resolution climate model

Indian Ocean JJA: 850hPa

Transient eddy “heat flux”

V’T’ ERA-I

V’T’ Control

V’T’ Diffn.

30%

ms-1K

ms-1K

ms-1K

ms-1K

ms-1K

Transient eddy meridional wind variance

V’V’ ERA-I

V’V’ Diff’n

V’V’ Control

14%

m2s-2

m2s-2

m2s-2

In the right panel only differences significant at 95% are shown, and contours show SST differences of +/- 2C from Fig. 1c. The number shown is the approx. ratio of the amplitude of the difference to the amplitude of the maximum in the smooth case, expressed as a percentage. Low-light– CAM wind variance (& heat-flux) is too high compared to ERA-I and MERRA . Therefore adding the ocean front worsens the comparison.


Storm track response to ocean fronts in a global high resolution climate model

Indian Ocean JJA: 500hPa

Transient eddy “heat flux”

V’T’ ERA-I

V’T’ Control

V’T’ ERA-I

25%

ms-1K

ms-1K

ms-1K

Transient eddy meridional wind variance

V’V’ ERA-I

V’V’ Diff’n

V’V’ Control

15%

m2s-2

m2s-2

m2s-2

In the right panel only differences significant at 95% are shown, and contours show SST differences of +/- 2C from Fig. 1c. The number shown is the approx. ratio of the amplitude of the difference to the amplitude of the maximum in the smooth case, expressed as a percentage.


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