Tellus000, 000–000 (0000) Printed 20 September 2012 (Tellus LATEX style file v2.2)
How well do state-of-the-art Atmosphere-Ocean general circulation models reproduce atmospheric teleconnection patterns?
Supplementary Material
By D¨orthe Handorf
1, Klaus Dethloff
1,
1Alfred Wegener Institute for Polar and Marine Research, Research Department Potsdam, Telegrafenberg A43, D-14471 Potsdam, German
20 September 2012
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0.5 0.6
0.7
0.8
0.9
0.95
0.99
1 0
5 10 15
Standard deviation
l at i o n Coe
ff i ci e
nt
CNRM GFDL1 GISSer IAP INMCM3 IPSL CCCT63 CCCT47 UKMOcm BCCR CSIRO0 CSIRO5 GFDL0 GISSaom GISSeh INGV
0.5 0.6
0.7
0.8
0.9
0.95
0.99
1 0
5 10 15
Standard Deviation
l at i o n Coe
ff i ci e
nt
MIROm MIROh MRI CNRM GFDL1 GISSer IAP INMCM3 IPSL
REANA AMIP CMIP
Figure 1.Taylor plots for EA/WR of fields ofZ500 CMIP3/AMIP3 model runs and NCEP/NCAR and ERA40 reanalysis, DJF. (a) CMIP from 1958-1999, (b) CMIP/AMIP from 1979-1999.
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ATMOSPHERIC TELECONNECTION PATTERNS
3
(a) (b)
0 0.1 0.2 0.3
0.4 0.5
0.6 0.7
0.8
0.9
0.95
0.99
1 0
5 10 15 20 25
Standard deviation
Co rr e l at i o
n Coe ff
i ci e nt
ERA40 NCEP MPI NCARcc NCARpcm UKMOgem MIROm MIROh MRI CNRM GFDL1 GISSer IAP INMCM3 IPSL CCCT63 CCCT47 UKMOcm BCCR CSIRO0 CSIRO5 GFDL0 GISSaom GISSeh INGV
0 0.1 0.2 0.3
0.4 0.5
0.6 0.7
0.8
0.9
0.95
0.99
1 0
5 10 15 20 25
Standard Deviation
Co rr e l at i o
n Coe ff
i ci e nt
ERA40 NCEP MPI NCARcc NCARpcm UKMOgem MIROm MIROh MRI CNRM GFDL1 GISSer IAP INMCM3 IPSL
REANA AMIP CMIP
Figure 2.Taylor plots for SCAN of fields ofZ500CMIP3/AMIP3 model runs and NCEP/NCAR and ERA40 reanalysis, DJF. (a) CMIP from 1958-1999, (b) CMIP/AMIP from 1979-1999.
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0.5 0.6
0.7
0.8
0.9
0.95
0.99
1 0
5 10 15 20
Standard deviation
l at i o n Coe
ff i ci e
nt
CNRM GFDL1 GISSer IAP INMCM3 IPSL CCCT63 CCCT47 UKMOcm BCCR CSIRO0 CSIRO5 GFDL0 GISSaom GISSeh INGV
0.5 0.6
0.7
0.8
0.9
0.95
0.99
1 0
5 10 15 20
Standard Deviation
l at i o n Coe
ff i ci e
nt
MIROm MIROh MRI CNRM GFDL1 GISSer IAP INMCM3 IPSL
REANA AMIP CMIP
Figure 3.Taylor plots for EP/NP of fields ofZ500 CMIP3/AMIP3 model runs and NCEP/NCAR and ERA40 reanalysis, DJF. (a) CMIP from 1958-1999, (b) CMIP/AMIP from 1979-1999.
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ATMOSPHERIC TELECONNECTION PATTERNS
5
(a) (b)
0 0.1 0.2 0.3
0.4 0.5
0.6 0.7
0.8
0.9
0.95
0.99
1 0
5 10 15 20 25
Standard deviation
Co rr e l at i o
n Coe ff
i ci e nt
ERA40 NCEP MPI NCARcc NCARpcm UKMOgem MIROm MIROh MRI CNRM GFDL1 GISSer IAP INMCM3 IPSL CCCT63 CCCT47 UKMOcm BCCR CSIRO0 CSIRO5 GFDL0 GISSaom GISSeh INGV
0 0.1 0.2 0.3
0.4 0.5
0.6 0.7
0.8
0.9
0.95
0.99
1 0
5 10 15 20 25
Standard Deviation
Co rr e l at i o
n Coe ff
i ci e nt
ERA40 NCEP MPI NCARcc NCARpcm UKMOgem MIROm MIROh MRI CNRM GFDL1 GISSer IAP INMCM3 IPSL
REANA AMIP CMIP
Figure 4.Taylor plots for POL of fields ofZ500CMIP3/AMIP3 model runs and NCEP/NCAR and ERA40 reanalysis, DJF. (a) CMIP from 1958-1999, (b) CMIP/AMIP from 1979-1999.
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0.5 0.6
0.7
0.8
0.9
0.95
0.99
1 0
5 10 15
Standard deviation
l at i o n Coe
ff i ci e
nt
CNRM GFDL1 GISSer IAP INMCM3 IPSL CCCT63 CCCT47 UKMOcm BCCR CSIRO0 CSIRO5 GFDL0 GISSaom GISSeh INGV
0.5 0.6
0.7
0.8
0.9
0.95
0.99
1 0
5 10 15
Standard Deviation
l at i o n Coe
ff i ci e
nt
MIROm MIROh MRI CNRM GFDL1 GISSer IAP INMCM3 IPSL
REANA AMIP CMIP
Figure 5.Taylor plots for TNH of fields ofZ500CMIP3/AMIP3 model runs and NCEP/NCAR and ERA40 reanalysis, DJF. (a) CMIP from 1958-1999, (b) CMIP/AMIP from 1979-1999.
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ATMOSPHERIC TELECONNECTION PATTERNS
7
(a) (b)
0 0.1 0.2 0.3
0.4 0.5
0.6 0.7
0.8
0.9
0.95
0.99
1
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
0 5 10 15 20 25
Standard deviation
Co rr e l at i o
n Coe ff
i ci e nt
ERA40 NCEP MPI NCARcc NCARpcm UKMOgem MIROm MIROh MRI CNRM GFDL1 GISSer IAP INMCM3 IPSL CCCT63 CCCT47 UKMOcm BCCR CSIRO0 CSIRO5 GFDL0 GISSaom GISSeh INGV
0 0.1 0.2 0.3
0.4 0.5
0.6 0.7
0.8
0.9
0.95
0.99
1
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
0 5 10 15 20 25
Standard Deviation
Co rr e l at i o
n Coe ff
i ci e nt
ERA40 NCEP MPI NCARcc NCARpcm UKMOgem MIROm MIROh MRI CNRM GFDL1 GISSer IAP INMCM3 IPSL
REANA AMIP CMIP
Figure 6.Taylor plots for NAO of fields ofZ500CMIP3/AMIP3 model runs and NCEP/NCAR and ERA40 reanalysis, DJF. (a) CMIP3 from 1958-1999, (b) CMIP3/AMIP3 from 1979-1999. The red lines are the skill score isolines defined by Eq. 2 withR0 = 0.96 (see Table 3.
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0.5 0.6
0.7
0.8
0.9
0.95
0.99
1 0
0.25 0.5 0.75
1 1.2
Standard deviation
l at i o n Coe
ff i ci e
nt
CNRM GFDL1 GISSer IAP INMCM3 IPSL CCCT63 CCCT47 UKMOcm BCCR CSIRO0 CSIRO5 GFDL0 GISSaom GISSeh INGV
0.5 0.6
0.7
0.8
0.9
0.95
0.99
1 0
0.25 0.5 0.75
1 1.2
Standard Deviation
l at i o n Coe
ff i ci e
nt
MIROm MIROh MRI CNRM GFDL1 GISSer IAP INMCM3 IPSL
Daten AMIP CMIP
Figure 7.Taylor plots for unfiltered time-series of NAO of fields ofZ500, CMIP3 model runs and NCEP/NCAR and ERA40 reanalysis, DJF. (a) CMIP from 1958-1999, (b) CMIP from 1979-1999, AMIP from 1979-1999.
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ATMOSPHERIC TELECONNECTION PATTERNS
9
(a) (b)
0 0.1 0.2 0.3
0.4 0.5
0.6 0.7
0.8
0.9
0.95
0.99
1 0
0.25 0.5 0.75
1 1.2 1.5
Standard deviation
Co rr e l at i o
n Coe ff
i ci e nt
ERA40 NCEP MPI NCARcc NCARpcm UKMOgem MIROm MIROh MRI CNRM GFDL1 GISSer IAP INMCM3 IPSL CCCT63 CCCT47 UKMOcm BCCR CSIRO0 CSIRO5 GFDL0 GISSaom GISSeh INGV
0 0.1 0.2 0.3
0.4 0.5
0.6 0.7
0.8
0.9
0.95
0.99
1 0
0.25 0.5 0.75
1 1.2 1.5
Standard Deviation
Co rr e l at i o
n Coe ff
i ci e nt
ERA40 NCEP MPI NCARcc NCARpcm UKMOgem MIROm MIROh MRI CNRM GFDL1 GISSer IAP INMCM3 IPSL
Daten AMIP CMIP
Figure 8.Taylor plots for unfiltered time-series of PNA of fields ofZ500, CMIP3 model runs and NCEP/NCAR and ERA40 reanalysis, DJF. (a) CMIP from 1958-1999, (b) CMIP from 1979-1999, AMIP from 1979-1999.
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0˚ 30˚
60˚
90˚270˚
300˚
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-100 -60 -45 -30 -15 15 30 45 60 100 [gpm]
0˚ 30˚
60˚
90˚270˚
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0.0 0.2 0.4 0.6 0.8
1000 500 200 100
Expl. Var.
p [hPa]
(e) (f) (g) (h)
30˚
60˚
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0˚
-100 -60 -45 -30 -15 15 30 45 60 100 [gpm]
30˚
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180˚ 150˚
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0˚
0.0 0.2 0.4 0.6 0.8
1000 500 200 100 50
Expl. Var.
p [hPa]
UKMO_HADGEM1/, explained variance with NAO
u−PC1 u−PC2
(i) (j) (k) (l)
0˚ 30˚
60˚
90˚
120˚
180˚ 150˚
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-100 -60 -45 -30 -15 15 30 45 60 100 [gpm]
0˚ 30˚
60˚
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120˚
180˚ 150˚
210˚
240˚
270˚
300˚
330˚
0.0 0.2 0.4 0.6 0.8
1000 500 200 100 50
Expl. Var.
p [hPa]
CCCMA_CGCM3_1/, explained variance with NAO
u−PC1 u−PC2
Figure 9. Summary of the NAO patterns and their relation to ATL-u-EOF1 for ERA40 reanalysis (a-d), UKMO HadGEM1 (e-h), CCCma CGCM3.1 (T47) (i-l). DJF-data from 1958-1999. From left to right: the NAO pattern (a,e,i); the regression pattern of the global geopotential height field at 500hPa onto ATL-u-PC1 at 250hPa (b,f,j); the regression pattern of the global zonal wind field at 250hPa onto ATL-u-PC1 at 250hPa (colours with overlaid Atlantic mean jet) (c,g,k); the vertical profile of explained variance between the NAO-index and the sectoral ATL-u-PC1 at each height (d,h,l).
c 0000 Tellus,000, 000–000
ATMOSPHERIC TELECONNECTION PATTERNS
11
(a) (b) (c) (d)
0˚ 30˚
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-100 -60 -45 -30 -15 15 30 45 60 100 [gpm]
0˚ 30˚
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0.0 0.2 0.4 0.6 0.8
1000 500 200 100 50
Expl. Var.
p [hPa]
ERA40/, explained variance with EA
u−PC1 u−PC2
(e) (f) (g) (h)
30˚
60˚
90˚
120˚
180˚ 150˚
210˚
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270˚
300˚
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0˚
-100 -60 -45 -30 -15 15 30 45 60 100 [gpm]
30˚
60˚
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180˚ 150˚
210˚
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0˚
0.0 0.2 0.4 0.6 0.8
1000 500 200 100 50
Expl. Var.
p [hPa]
UKMO_HADGEM1/, explained variance with EA
u−PC1 u−PC2
(i) (j) (k) (l)
0˚ 30˚
60˚
90˚
120˚
180˚ 150˚
210˚
240˚
270˚
300˚
330˚
-100 -60 -45 -30 -15 15 30 45 60 100 [gpm]
0˚ 30˚
60˚
90˚
120˚
180˚ 150˚
210˚
240˚
270˚
300˚
330˚
0.0 0.2 0.4 0.6 0.8
1000 500 200 100 50
Expl. Var.
p [hPa]
CCCMA_CGCM3_1/, explained variance with EA
u−PC1 u−PC2
Figure 10.Summary of the EA patterns and their relation to ATL-u-EOF2 for ERA40 reanalysis (a-d), UKMO HadGEM1 (e-h), CCCma CGCM3.1 (T47) (i-l). DJF-data from 1958-1999. From left to right: the EA pattern (a,e,i); the regression pattern of the global geopotential height field at 500hPa onto ATL-u-PC2 at 250hPa (b,f,j); the regression pattern of the global zonal wind field at 250hPa onto ATL-u-PC2 at 250hPa (colours with overlaid Atlantic mean jet) (c,g,k); the vertical profile of explained variance between the EA-index and the sectoral ATL-u-PC2 at each height (d,h,l).
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0˚ 30˚
60˚
90˚270˚
300˚
330˚
-100 -60 -45 -30 -15 15 30 45 60 100 [gpm]
0˚ 30˚
60˚
90˚270˚
300˚
330˚
0.0 0.2 0.4 0.6 0.8
1000 500 200 100
Expl. Var.
p [hPa]
(e) (f) (g) (h)
0˚ 30˚
60˚
90˚
120˚
180˚ 150˚
210˚
240˚
270˚
300˚
330˚
-100 -60 -45 -30 -15 15 30 45 60 100 [gpm]
0˚ 30˚
60˚
90˚
120˚
180˚ 150˚
210˚
240˚
270˚
300˚
330˚
0.0 0.2 0.4 0.6 0.8
1000 500 200 100 50
Expl. Var.
p [hPa]
MIROC3_2_hires/, explained variance with PNA
u−PC1 u−PC2
(i) (j) (k) (l)
0˚ 30˚
60˚
90˚
120˚
180˚ 150˚
210˚
240˚
270˚
300˚
330˚
-100 -60 -45 -30 -15 15 30 45 60 100 [gpm]
0˚ 30˚
60˚
90˚
120˚
180˚ 150˚
210˚
240˚
270˚
300˚
330˚
0.0 0.2 0.4 0.6 0.8
1000 500 200 100 50
Expl. Var.
p [hPa]
CNRM_CM3/, explained variance with PNA
u−PC1 u−PC2
Figure 11.Summary of the PNA patterns and their relation to PAC-u-EOF1 for ERA40 reanalysis (a-d), MIROC3.2(hires) (e-h), CNRM-CM3 (i-l). DJF-data from 1958-1999. From left to right: the PNA pattern (a,e,i); the regression pattern of the global geopotential height field at 500hPa onto PAC-u-PC1 at 250hPa (b,f,j); the regression pattern of the global zonal wind field at 250hPa onto PAC-u-PC1 at 250hPa (colours with overlaid Pacific mean jet) (c,g,k); the vertical profile of explained variance between the PNA-index and the sectoral PAC-u-PC1 at each height (d,h,l).
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ATMOSPHERIC TELECONNECTION PATTERNS
13
(a) (b) (c) (d)
0˚ 30˚
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180˚ 150˚
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-100 -60 -45 -30 -15 15 30 45 60 100 [gpm]
0˚ 30˚
60˚
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180˚ 150˚
210˚
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270˚
300˚
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0.0 0.2 0.4 0.6 0.8
1000 500 200 100 50
Expl. Var.
p [hPa]
ERA40/, explained variance with WP
u−PC1 u−PC2
(e) (f) (g) (h)
0˚ 30˚
60˚
90˚
120˚
180˚ 150˚
210˚
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270˚
300˚
330˚
-100 -60 -45 -30 -15 15 30 45 60 100 [gpm]
0˚ 30˚
60˚
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180˚ 150˚
210˚
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0.0 0.2 0.4 0.6 0.8
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Expl. Var.
p [hPa]
MIROC3_2_hires/, explained variance with WP
u−PC1 u−PC2
(i) (j) (k) (l)
0˚ 30˚
60˚
90˚
120˚
180˚ 150˚
210˚
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-100 -60 -45 -30 -15 15 30 45 60 100 [gpm]
0˚ 30˚
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180˚ 150˚
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0.0 0.2 0.4 0.6 0.8
1000 500 200 100 50
Expl. Var.
p [hPa]
CNRM_CM3/, explained variance with WP
u−PC1 u−PC2
Figure 12.Summary of the WP patterns and their relation to PAC-u-EOF2 for ERA40 reanalysis (a-d), MIROC3.2(hires) (e-h), CNRM- CM3 (i-l). DJF-data from 1958-1999. From left to right: the WP pattern (a,e,i); the regression pattern of the global geopotential height field at 500hPa onto PAC-u-PC2 at 250hPa (b,f,j); the regression pattern of the global zonal wind field at 250hPa onto PAC-u-PC2 at 250hPa (colours with overlaid Pacific mean jet) (c,g,k); the vertical profile of explained variance between the WP-index and the sectoral PAC-u-PC2 at each height (d,h,l).
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