• Lin, P., , Q. Fu, , S. Solomon, , and J. M. Wallace, 2009: Temperature trend patterns in Southern Hemisphere high latitudes: Novel indicators of stratospheric change. J. Climate, 22 , 63256341.

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    Monthly climatological mean fields in the SH high latitudes for 1979–2007 for the months of July–December. (a)–(f) MSU T4 in units of K; (g)–(l) TOMS total ozone in units of DU.

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    As in Fig. 1, but for the eddy component, which is defined as the original value minus the zonal mean on the corresponding latitude circle.

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    Monthly trend patterns in SH high latitudes for 1979–2007 for July–December. (a)–(f) MSU T4 trend in units of K decade−1; (g)–(l) TOMS total ozone trend in units of DU decade−1.

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    As in Fig. 3, but for the eddy component of the trend pattern, which is defined as the deviation from the zonal mean trend on the same latitude circle. The numbers indicate the fractional contribution of the eddy component to the total trend pattern (see text for the definition).

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    Decadal mean monthly MSU T4 maps for July–December over (a) 1979–88, (b) 1989–98, and (c) 1999–2007.

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    Monthly T4 trend maps for August–November from 1979 to various ending years as indicated on the left.

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    Distribution of magnitudes in the wavenumber-1 trend among 10 000 Monte Carlo simulations, for (a) August, (b) September, (c) October, and (d) November. The vertical red line indicates the observations. The number indicates the probability that the simulated trend is smaller than the observations (i.e., the ratio of the shaded area to the left of the vertical red line to the total shaded area).

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    As in Figs. 3a–f, but for T4 simulated from the NCEP–NCAR reanalysis.

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    (a) Time series of the eddy heat flux index (solid line) and its linear trend (dashed line) in September. (b) Map of September T4 regressed onto the eddy heat flux index in units of K per standard deviation. (c) Time series of the ozone index (solid line) and its linear trend (dashed line) in September. (d) Map of September T4 regressed onto the ozone index in units of K per standard deviation. The trend uncertainty is given at the 95% confidence level (2σ). See text for the definitions for the eddy heat flux index and the ozone index.

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    (a) Observed September T4 trend (same as Fig. 3c). (b) T4 trend attributable to the trend in the BDC as represented by the eddy heat flux index. (c) T4 trend attributable to the trend in ozone. (d) Summation of (b) and (c). (e) Residual trend, i.e., (a) minus (d). All trends are for 1979–2007 in units of K decade−1.

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    As in Fig. 10, but that the BDC is represented by the zonal wind index.

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    (a)–(d) As in Fig. 9, but for October. (e) Time series of the phase index (solid line) and its linear trend (dashed line) in October. (f) Map of October T4 regressed onto the phase index in units of K per standard deviation. The trend uncertainty is given at the 95% confidence level (2σ). See text for the definition for the phase index.

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    (a) Observed October T4 trend (same as Fig. 3d). (b) T4 trend attributable to the trend in the BDC as represented by the eddy heat flux index. (c) T4 trend attributable to the trend in ozone. (d) T4 trend attributable to the trend in phase change of stationary wavenumber 1. (e) Summation of (b),(c), and (d). (f) Residual trend, i.e., (a) minus (e). All trends are for 1979–2007 in units of K decade−1.

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    As in Fig. 13, but that the BDC is represented by the zonal wind index.

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    Monthly trend maps for simulated T4 from IPCC AR4 models for 1979–2007 in units of K decade−1. (a) All model mean, (b) model mean for the simulations that take into account the long-term change in stratospheric ozone, and (c) model mean for the simulations that ignore the long-term change in stratospheric ozone.

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    As in Fig. 15, but for the eddy component.

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    Components of the September T4 trend pattern for 1979–2007 that are linear congruent with the first three EOFs in units of K decade−1. The numbers in the upper-right corner indicate the fraction of the observed trend pattern explained by each mode.

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    As in Fig. A1, but for October.

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CORRIGENDUM

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  • 1 Department of Atmospheric Sciences, University of Washington, Seattle, Washington
  • 2 Chemical Sciences Division, NOAA/Earth System Research Laboratory, Boulder, Colorado
  • 3 Department of Atmospheric Sciences, University of Washington, Seattle, Washington
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Due to communication and production errors, Lin et al. (2009) was mistakenly published with black and white figures throughout, instead of color figures. To correct this the following pages contain the full article as it should have appeared, with the color figures.

The staff of the Journal of Climate regrets any inconvenience these errors may have caused.

REFERENCE

Lin, P., , Q. Fu, , S. Solomon, , and J. M. Wallace, 2009: Temperature trend patterns in Southern Hemisphere high latitudes: Novel indicators of stratospheric change. J. Climate, 22 , 63256341.

  • Search Google Scholar
  • Export Citation
Fig. 1.
Fig. 1.

Monthly climatological mean fields in the SH high latitudes for 1979–2007 for the months of July–December. (a)–(f) MSU T4 in units of K; (g)–(l) TOMS total ozone in units of DU.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 2.
Fig. 2.

As in Fig. 1, but for the eddy component, which is defined as the original value minus the zonal mean on the corresponding latitude circle.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 3.
Fig. 3.

Monthly trend patterns in SH high latitudes for 1979–2007 for July–December. (a)–(f) MSU T4 trend in units of K decade−1; (g)–(l) TOMS total ozone trend in units of DU decade−1.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 4.
Fig. 4.

As in Fig. 3, but for the eddy component of the trend pattern, which is defined as the deviation from the zonal mean trend on the same latitude circle. The numbers indicate the fractional contribution of the eddy component to the total trend pattern (see text for the definition).

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 5.
Fig. 5.

Decadal mean monthly MSU T4 maps for July–December over (a) 1979–88, (b) 1989–98, and (c) 1999–2007.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 6.
Fig. 6.

Monthly T4 trend maps for August–November from 1979 to various ending years as indicated on the left.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 7.
Fig. 7.

Distribution of magnitudes in the wavenumber-1 trend among 10 000 Monte Carlo simulations, for (a) August, (b) September, (c) October, and (d) November. The vertical red line indicates the observations. The number indicates the probability that the simulated trend is smaller than the observations (i.e., the ratio of the shaded area to the left of the vertical red line to the total shaded area).

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 8.
Fig. 8.

As in Figs. 3a–f, but for T4 simulated from the NCEP–NCAR reanalysis.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 9.
Fig. 9.

(a) Time series of the eddy heat flux index (solid line) and its linear trend (dashed line) in September. (b) Map of September T4 regressed onto the eddy heat flux index in units of K per standard deviation. (c) Time series of the ozone index (solid line) and its linear trend (dashed line) in September. (d) Map of September T4 regressed onto the ozone index in units of K per standard deviation. The trend uncertainty is given at the 95% confidence level (2σ). See text for the definitions for the eddy heat flux index and the ozone index.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 10.
Fig. 10.

(a) Observed September T4 trend (same as Fig. 3c). (b) T4 trend attributable to the trend in the BDC as represented by the eddy heat flux index. (c) T4 trend attributable to the trend in ozone. (d) Summation of (b) and (c). (e) Residual trend, i.e., (a) minus (d). All trends are for 1979–2007 in units of K decade−1.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 11.
Fig. 11.

As in Fig. 10, but that the BDC is represented by the zonal wind index.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 12.
Fig. 12.

(a)–(d) As in Fig. 9, but for October. (e) Time series of the phase index (solid line) and its linear trend (dashed line) in October. (f) Map of October T4 regressed onto the phase index in units of K per standard deviation. The trend uncertainty is given at the 95% confidence level (2σ). See text for the definition for the phase index.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 13.
Fig. 13.

(a) Observed October T4 trend (same as Fig. 3d). (b) T4 trend attributable to the trend in the BDC as represented by the eddy heat flux index. (c) T4 trend attributable to the trend in ozone. (d) T4 trend attributable to the trend in phase change of stationary wavenumber 1. (e) Summation of (b),(c), and (d). (f) Residual trend, i.e., (a) minus (e). All trends are for 1979–2007 in units of K decade−1.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 14.
Fig. 14.

As in Fig. 13, but that the BDC is represented by the zonal wind index.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 15.
Fig. 15.

Monthly trend maps for simulated T4 from IPCC AR4 models for 1979–2007 in units of K decade−1. (a) All model mean, (b) model mean for the simulations that take into account the long-term change in stratospheric ozone, and (c) model mean for the simulations that ignore the long-term change in stratospheric ozone.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. 16.
Fig. 16.

As in Fig. 15, but for the eddy component.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. A1.
Fig. A1.

Components of the September T4 trend pattern for 1979–2007 that are linear congruent with the first three EOFs in units of K decade−1. The numbers in the upper-right corner indicate the fraction of the observed trend pattern explained by each mode.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

Fig. A2.
Fig. A2.

As in Fig. A1, but for October.

Citation: Journal of Climate 23, 15; 10.1175/2010JCLI3777.1

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