Convectively Coupled Kelvin Waves Multi-Scale Study Over Africa in 2011 Matthew Janiga.
Relationships between Convectively Coupled Kelvin Waves and Extratropical Wave Activity
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Transcript of Relationships between Convectively Coupled Kelvin Waves and Extratropical Wave Activity
Relationships between Convectively Coupled Kelvin Waves and Extratropical Wave Activity
Relationships between Convectively Coupled Kelvin Waves and Extratropical Wave Activity
George N. KiladisKlaus WeickmannBrant Liebmann
NOAA, Physical Sciences DivisionEarth System Research Laboratory
CIRES, University of Colorado
George N. KiladisKlaus WeickmannBrant Liebmann
NOAA, Physical Sciences DivisionEarth System Research Laboratory
CIRES, University of Colorado
Or:Some (as yet only partially explained)
observations of Kelvin Waves and Associated Extratropical Disturbances
Or:Some (as yet only partially explained)
observations of Kelvin Waves and Associated Extratropical Disturbances
Data SourcesCloud Archive User Services (CLAUS) Brightness Temperature
8 times daily, .5 resolution July 1983-September 2005
NCEP-NCAR Reanalysis products 4 times daily, 17 pressure levels, 2.5 resolution
Key Papers:Lindzen, R. D., 1967: Planetary waves on beta-planes. Mon. Wea. Rev.
Hoskins, B. J. and T. Ambrizzi 1993: Rossby wave propagation on a realistic longitudinally varying flow. J. Atmos. Sci.
Zhang, C. and P. J. Webster, 1989: Effects of zonal flows on equatorially-trapped waves. J. Atmos. Sci.
Zhang, C. and P. J. Webster, 1992: Laterally forced equatorial perturbations in a linear model. J. Atmos. Sci.
Yang, G. –Y. and B. J. Hoskins 1996: Propagation of Rossby waves of non-zero frequency. J. Atmos. Sci.
Hoskins, B. J., and G. –Y. Yang, G. –Y. 2000: The equatorial response to higher latitude forcing. J. Atmos. Sci.
Roundy, P. E., 2008: Analysis of convectively coupled Kelvin waves in the Indian Ocean MJO. J. Atmos. Sci.
Dias, J. and O. Pauluis, 2009: Convectively coupled Kelvin waves propagating along an ITCZ. J. Atmos. Sci.
Ferguson, J., B. Khouider, M. Namazi, 2009: Two-way interactions between equatorially-trapped waves and the barotropic flow. Chinese Ann. Math.
Theoretical Considerations:Effects of Meridional Shear in the Zonal Wind
Differential advection leads to straining and deformation: Affects shape and group velocity
Wave-guiding: Trapping of Rossby wave energy along jets, extratropical waves are guided towards low latitudes in certain regions
Non-Doppler Effect: Meridional shear modifies the -effect, leading to differences in equivalent depths and equatorial trapping
Critical Line: Where the zonal phase speed of a Rossby Wave equals that of the background zonal wind (waves are absorbed or perhaps reflected here).
200 hPa Climatological Zonal Wind, Dec.-Feb. 1979-2004
Contour interval 5 m s-1
200 hPa Climatological Zonal Wind, June-Aug. 1979-2004
Contour interval 5 m s-1
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 10N, 150W for Dec.-Feb. 1979-2004
Day 0
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blueKiladis, 1998
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 10N, 150W for Dec.-Feb. 1979-2004
Day-5
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 10N, 150W for Dec.-Feb. 1979-2004
Day-4
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 10N, 150W for Dec.-Feb. 1979-2004
Day-3
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 10N, 150W for Dec.-Feb. 1979-2004
Day-2
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 10N, 150W for Dec.-Feb. 1979-2004
Day-1
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 10N, 150W for Dec.-Feb. 1979-2004
Day 0
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 10N, 150W for Dec.-Feb. 1979-2004
Day+1
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 10N, 150W for Dec.-Feb. 1979-2004
Day+2
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 7.5N, 30W for Dec.-Feb. 1979-2004
Day-2
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blueKiladis and Weickmann, 1997
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 7.5N, 30W for Dec.-Feb. 1979-2004
Day-1
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 7.5N, 30W for Dec.-Feb. 1979-2004
Day 0
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 7.5N, 30W for Dec.-Feb. 1979-2004
Day+1
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 7.5N, 30W for Dec.-Feb. 1979-2004
Day+2
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OBSERVATIONS OF KELVIN AND INERTIO-GRAVITY WAVESCLAUS Brightness Temperature (2.5S–7.5N), April-May 1987
OBSERVATIONS OF KELVIN AND INERTIO-GRAVITY WAVESCLAUS Brightness Temperature (2.5S–7.5N), April-May 1987
28 m s-1
OLR and 850 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day+1
Geopotential Height (contours .5 m)Wind (vectors, largest around 5 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blueStraub and Kiladis, 1997
Kelvin Wave Theoretical Structure
Wind, Pressure (contours), Divergence, blue negative
OLR and 850 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day+1
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day+1
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day-6
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day-5
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day-4
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day-3
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day-2
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day-1
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day 0
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day+1
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day+2
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day+3
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day+4
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day-10
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day-9
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day-8
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day-7
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 7.5N, 172.5W for June-Aug. 1983-2005
Day-6
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at Eq., 90E for June-Aug. 1983-2005
Day 0
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at Eq., 90E for March-May 1983-2005
Day 0
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at Eq., 90E for Dec.-Jan. 1983-2005
Day 0
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against <30 day filtered OLR (scaled -20 W m2) at 7.5N, 30W for Dec.-Feb. 1979-2004
Day 0
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 10 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 2.5N, 0.0 for March-May 1983-2005
Day-1
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at 2.5N, 0.0 for March-May 1983-2005
Day+1
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
Mechanisms?
Local Dynamic and Thermodynamic fields associated with initial Kelvin wave development are very weak
One possibility: “Direct projection” of extratropical forcing onto equatorially-trapped waves, exciting a resonant response
Hoskins and Yang, 2000
1987 CLAUS Brightness Temperature 5ºS-5º N
1998 CLAUS Brightness Temperature 5ºS-5º N
1993 CLAUS Brightness Temperature 5ºS-5º N
1989 CLAUS Brightness Temperature 5ºS-5º N
1999 CLAUS Brightness Temperature 5ºS-5º N
1984 CLAUS Brightness Temperature 5ºS-5º N
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day 0
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 5 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day-4
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 5 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day-3
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 5 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day-2
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 5 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day-1
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 5 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day 0
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 5 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day+1
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 5 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day+2
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 5 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day+3
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 5 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day+4
Streamfunction (contours 5 X 105 m2 s-1)Wind (vectors, largest around 5 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
Geopotential Height (contours 1 m)Wind (vectors, largest around 3 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 1000 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day-4
Geopotential Height (contours 1 m)Wind (vectors, largest around 3 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 1000 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day-3
Geopotential Height (contours 1 m)Wind (vectors, largest around 3 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 1000 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day-2
Geopotential Height (contours 1 m)Wind (vectors, largest around 3 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 1000 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day-1
Geopotential Height (contours 1 m)Wind (vectors, largest around 3 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue
OLR and 1000 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at eq, 60W for January-June 1979-2004
Day 0
The dates are then separated by additional criteria before compositing:
“Pacific” cases: 3 days before key date Kelvin-filteredOLR more than 16 Wm-2 below mean at 95W, 2.5N
“South America” cases: 3 days before key date, 30-day high-pass filtered OLR more than 50 Wm-2 below mean at 60W, 20S.
53 Pacific cases48 South America cases
4 common cases
Dates are found with a 1.5 standard deviationsnegative OLR anomalies at 60W, Eq.
Base point: Kelvin-filteredOLR, 1.5 STD anomaly
(plus constraint at 95W, 2.5N)Fields: 30-day high-pass OLR 200 mb wind and streamfunction
Wm-2
Pacific events
Base point: Kelvin-filteredOLR, 1.5 STD anomaly
(plus constraint at 95W, 2.5N)Fields: 30-day high-pass OLR 200 mb wind and streamfunction
Wm-2
Pacific events
Contrast with “South America” example(note different latitude range)
30-day High-pass OLR, 200 mb wind and stream function
Fields lead base point by 5 days
200 850 1000Blue contours indicate positive height anomalies
200 mbHeights and OLR
850 mb Heights and Rain
1000 mb Heights and Unfiltered rain
Fields lead base point by 4 days
200 850 1000
Fields lead base point by 3 days
200 850 1000
Fields lead base point by 2 days
200 850 1000
Fields lead base point by 1 day
200 850 1000
Fields simultaneous with base point
200 850 1000
Fields lag base point by 1 day
200 850 1000
Conclusions
• There are at least two mechanisms that force Kelvin waves over South America
a) at upper levels from the Pacific b) at lower levels from southern South America
(e.g., Garreaud and Wallace 1998; Garreaud 2000)
• Not all South American (cold) events force Kelvin waves
• Some Kelvin waves may be initiated in-situ
Conclusions
Convectively coupled Kelvin waves have many “non-Kelvin” features, including off-equatorial gyres presumably forced in part by heating
There are strong associations between Kelvin wave activity and extratropical Rossby wave activity
In some cases it is clear that Kelvin waves are forced by the extratropics
Kelvin convection is associated with subtropical anticyclonic vorticity, unlike other cases of tropical-extratropical interaction
Subtropical “pressure surges” are also seen to be involved in forcing of some Kelvin activity over South America
These results do not rule out “spontaneous” generation of Kelvin waves by equatorial convection or local dynamical forcing
€
E = (v'2 −u'2,−u'v',f
Θz
v'θ ')
€
v'2 −u'2
€
−u'v'
E Vectors (assumption of quasi-geostrophy)
where: is a measure of anisotropy
is minus the northward flux of westerly momentumand
Approximate direction of group velocity:
from Hoskins, James and White (1983)
200 hPa Climatological < 30 Day E Vectors and OLR December-February 1979-2004
E Vectors, largest around 200 m-2 s-2
OLR shading starts at 250 W s-2 at 10 W s-2 intervals
€
K s =β*
u
⎛
⎝ ⎜
⎞
⎠ ⎟
1/2
€
* = β −∂ 2u
∂y2
Stationary Wavenumber Ks
where:is the meridional gradient
of absolute vorticity
Ks is the total wavenumber (k2+l2)1/2 at which a barotropic Rossby Wave is stationary in a given background Zonal Flow
According to WKB theory, Rossby Wave Energy should be refracted toward higher values of Ks
see Hoskins and Ambrizzi (1993)
200 hPa Climatological < 30 Day E Vectors and OLR December-February 1979-2004
E Vectors, largest around 200 m-2 s-2
OLR shading starts at 250 W s-2 at 10 W s-2 intervals
200 hPa Climatological < 30 Day E Vectors, Ks and OLR December-February 1979-2004
E Vectors, largest around 200 m-2 s-2
Ks (contours) by total wavenumberOLR shading starts at 250 W s-2 at 10 W s-2 intervals
Lead and Lag Regressions
Base point: Kelvin-filtered OLR at 60W, Eq.
Fields: 30-day high-pass filtered OLR, 200 mb winds and stream function
Conclusions
• There are at least two mechanisms that force Kelvin waves over South America a) at upper levels from the Pacific b) at lower levels from southern South America
(e.g., Garreaud and Wallace 1998; Garreaud 2000)
• Not all South American (cold) events force Kelvin waves
Fields lead base point by 3 days
Kelvin-filtered base point 30-day high pass base point
OLR, 200 mb winds and heights
Fields simultaneous with base point
Kelvin-filtered base point 30-day high pass base point
OLR, 200 mb winds and heights
Fields lag base point by 1 day
Kelvin-filtered base point 30-day high pass base point
OLR, 200 mb winds and heights
Fields lag base point by 2 days
Kelvin-filtered base point 30-day high pass base point
OLR, 200 mb winds and heights
OLR and 200 hPa Flow Regressed against Kelvin-filtered OLR (scaled -20 W m2) at Eq., 90E for Dec.-Jan. 1983-2005
Day-2
Streamfunction (contours 2 X 105 m2 s-1)Wind (vectors, largest around 2 m s-1)
OLR (shading starts at +/- 6 W s-2), negative blue