el niño, la niña and enso la niñael niño time mean

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El Niño, La Niña and ENSO La Niña El Niño Time mean

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Page 1: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

El Niño, La Niña and ENSO

La Niña El Niño Time mean

Page 2: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

Correlation coefficient of annual-mean sea-level pressure with pressure at Darwin.

Darwin Tahiti

Page 3: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

ENSO time series and spectrum

year period (years)

Page 4: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

El Niño impacts: Global

Surface temperature (ºC) Precipitation (mm/day)

NCEP/NCAR Reanalysis 1950-2000

Page 5: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

ENSO mechanism: the Bjerknes feedback

Page 6: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

Bjerknes feedback - equatorial sections

El Niño

oce

an

longitude

La Niña

atm

os

longitude

Page 7: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

Southern oscillation index (SOI) = p(Tahiti)-p(Darwin)

Nino 3.4 index (N34) = SST averaged over 120°W-170°W and 5°S- 5°N.

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Year

N3

4 (

oC

)S

OI (h

Pa)

El Niño and Southern oscilation

Page 8: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

Southern Oscillation index (SOI) vs. Nino 3.4 SST (N34)

SOI (hPa)

N3

4 (

degC

)

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Regression line N34 = 28.5 – 0.4 SOIPearson’s corr. coeff c = – 0.83 Variance explained c2 = 0.70

Page 9: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

EOFs in 2 dimensions

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e1

e2

SOI (hPa)

N3

4 (

degC

)

Page 10: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

Teleconnection mapcorrelation of 500 hPa height at base point (20N,160W) with all other

points

base point

Page 11: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

Teleconnectivity map, 500 hPa height

PNANAO

The map is constructed as follows:-for each point in the grid, build a teleconnection map using that point as base point;-assign to that point the maximum (absolute value of) anticorrelation found in the teleconnection map-draw contours of the resulting field, add arrows showing points connected by max anticorrelation

Page 12: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

Pacific/North American pattern (PNA)500mb height, 1-point correlation map, base point 20N,160W

cool, wetwarm

base point

warm

Page 13: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

North Atlantic Oscillation (NAO)

The “NAO index” is defined as the difference in surface pressure measured at Stykkisholmur (Iceland) and Lisbon (Portugal) or Ponta Delgada (Azores): NAO index = pAzores – pIceland. High positive value of the index means pressure is very low over Iceland and very high over the Azores.

The map shows the regression of the the NAO index onto the northern hemisphere surface pressure field.

Page 14: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

NAO impactsTemperature Precipitation

dry wet

Page 15: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

A cartoon of the NAO

High Low

Page 16: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

NAO time series

anthropogenicclimate change?

Page 17: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

NAO index time seriesIndex according to Jones et al. 1997: pGibraltar -pStykkisholmur

or natural variability?

Page 18: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

AO or NAO?

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Leading EOF of northern hemisphere surface pressure Regression of NAO index on surface pressure

The leading EOF of surface pressure shows a pattern which is similar to the NAO in the Atlantic, but is more zonal -- there is a second “center of action” in the Pacific. This pattern has been labeled the “Arctic Oscillation”, to emphasize that it represents a zonally-symmetric oscillation centered on the North Pole. In this view, the NAO is just a locally-enhanced manifestation of the global, zonally-symmetric “annular mode”. However, there is no significant correlation between points in the Atlantic and in the Pacific, I.e no zonal teleconnection between Atlantic and Pacific basins.

no correlation!

Page 19: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

Physics of the AO or “annular mode”

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Climatological zonal-mean wind Regression of leading EOF’s amplitude onto zonal-mean zonal wind

The idea behind the “annular modes” is that:

1. The AO is just the surface signature of a mode that actually fills the whole troposphere

2. Random fluctuations in baroclinic eddy activity in the midlatidude storm tracks lead to random changes in momentum convergence, shifting the jet axis north or south

Page 20: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

Role of zonal asymmetries in creating the NAO

(from recent review paper by Vallis and Gerber, 2007)

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Climatological DJF Eady growth rate, a measure of how baroclinically unstable the atmosphere is. High growth rate favours frequent development of baroclinic storms

Climatological DJF eddy kinetic energy, a measure of how much eddy activity there actually is in the atmosphere

The atmosphere is most unstable on the eastern seaboards of continents, but the biggest eddy activity is somewhat downstream in the middle of the ocean basins. This is because eddies propagate as they develop, reaching maturity further downstream along the storm track.Eddy momentum fluxes are strongest in roughly the same region.

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Climatological DJF eddy meridional momentum flux. Positive values meanmomentum is transported northward.Note the strong momentum convergenceover the center of the Atlantic basin.

1. Observational picture

Page 21: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

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2. Results from numerical model with zonally symmetric statistics

Role of zonal asymmetries in creating the NAO

(from recent review paper by Vallis and Gerber, 2007)

This figure shows the “teleconnection map” for surface pressure in a numerical model where forcing and boundaries are zonally symmetric.The base point is chosen randomly.

According to the “annular modes” viewpoint, we would expect a rather ring-like patter to emerge, but instead we see something that is quite localized and looks surprisingly like the NAO.

The leading EOF of surface pressure in this model is zonally-symmetric,however.

The conclusion is that eddies do transport momentum and cause “wobbles” in the jet position, but the eddy dynamics are quite local and so the jet wobbles are local rather than global. In this model, such wobbles occur randomly at all longitudes, and the EOF represents them as a zonally-uniform “annular mode”.

Page 22: El Niño, La Niña and ENSO La NiñaEl Niño Time mean

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Role of zonal asymmetries in creating the NAO

(from recent review paper by Vallis and Gerber, 2007)

3. Results from numerical model with zonally asymmetric statistics

This shows results from the same model as before, except that:

-a thermal anomaly representing land-ocean heating contrast has been inserted (magenta lines)

-a meridionally elongated mountain range representing the Rockies has been inserted (cyan lines).

These fixed surface asymmetries set up permanent asymmetries in the atmospheric fields, leading to a zonally-confined storm track. The meridional wobbles due to eddy momentum convergence fluctuations still occur at all longitudes, but are stronger in the region of maximum eddy kinetic energy. The leading EOF shows a corresponding region of enhanced variability.

In conclusion, the NAO is due to the same dynamics hypothesized for the annular modes, but these dynamics occur in a region that is zonally confined because of the permanent asymmetries in the atmospheric forcing.