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Although the effects of volcanism are primarily manifested in the summer hemisphere, these changes map into mean annual temperature variations at a reduced level, and the EBM is tuned to simulate mean annual temperatures. The reliability of this approach is supported by good agreement between the EBM and recent GCM studies (P. Stott et al., Clim. Dyn., in press) of a decadally averaged cooling effect from volcanism during the late 20th century. The EBM predicts a 0.2°C cooling; the GCM predicts a 0.3°C cooling. Given the facts that the ensemble GCM run has noise in it and that the GCM has a sensitivity greater than the EBM, the EBM-GCM results are not considered to be significantly different.
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An alternate approach using 8-point smoothing followed by 5-point smoothing yields virtually identical correlations (such sequential smoothing can substantially improve the filter characteristics of a running average)
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An alternate approach using 8-point smoothing followed by 5-point smoothing yields virtually identical correlations (such sequential smoothing can substantially improve the filter characteristics of a running average).
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68
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0342913841
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data not shown
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T. J. Crowley, data not shown.
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There are a number of uncertainties with respect to the estimate of unforced variability from proxy data. Because proxy reconstructions do not correlate perfectly with temperature, proxy variance may differ from the true variance. Also, residuals may include some component of forced variability due to errors in the forcing or temperature reconstructions. If multi-regression is used to best fit the model to observations, the residuals will also differ slightly
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There are a number of uncertainties with respect to the estimate of unforced variability from proxy data. Because proxy reconstructions do not correlate perfectly with temperature, proxy variance may differ from the true variance. Also, residuals may include some component of forced variability due to errors in the forcing or temperature reconstructions. If multi-regression is used to best fit the model to observations, the residuals will also differ slightly.
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which indicate an average SST for the last interglacial within 0.1°C of the mid-20th-century calibration period
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Despite clear evidence for seasonal and regional temperature changes greater than the present during the last interglacial (120,000 to 130,000 years ago), there are few quantitative estimates of global temperature change for this time. The most comprehensive assessment is based on an analysis of sea surface temperature (SST) variations [W. F. Ruddiman and CLIMAP Members, Quat. Res. 21, 123 (1984)], which indicate an average SST for the last interglacial within 0.1°C of the mid-20th-century calibration period. This result agrees closely with that produced from a coupled ocean-atmosphere simulation [M. Montoya, T. J. Crowley, H. von Storch, Paleoceanography 13, 170 (1998)]. The same model yields global temperatures only 0.3°C warmer than the control run [M. Montoya, H. von Storch, T. J. Crowley, J. Clim. 13, 1057 (2000)]. The reason why regional temperatures greater than at present during the last interglacial do not translate into a large global temperature difference is because winter cooling offsets summer warming in some time series and because there are significant phase offsets between the timing of peak warmth in different regions [T. J. Crowley, J. Clim. 3, 1282 (1990)].
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Despite clear evidence for seasonal and regional temperature changes greater than the present during the last interglacial (120,000 to 130,000 years ago), there are few quantitative estimates of global temperature change for this time. The most comprehensive assessment is based on an analysis of sea surface temperature (SST) variations [W. F. Ruddiman and CLIMAP Members, Quat. Res. 21, 123 (1984)], which indicate an average SST for the last interglacial within 0.1°C of the mid-20th-century calibration period. This result agrees closely with that produced from a coupled ocean-atmosphere simulation [M. Montoya, T. J. Crowley, H. von Storch, Paleoceanography 13, 170 (1998)]. The same model yields global temperatures only 0.3°C warmer than the control run [M. Montoya, H. von Storch, T. J. Crowley, J. Clim. 13, 1057 (2000)]. The reason why regional temperatures greater than at present during the last interglacial do not translate into a large global temperature difference is because winter cooling offsets summer warming in some time series and because there are significant phase offsets between the timing of peak warmth in different regions [T. J. Crowley, J. Clim. 3, 1282 (1990)].
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Preliminary results suggest that a 2.0°C sensitivity slightly overestimates the response (G. C. Hegerl and T. J. Crowley, in preparation), but it is not yet clear whether this result reflects lower best fit sensitivity or errors in forcing and temperature estimates.
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actually yields a very slight warming (0.006°C) over the past 1000 years, because perihelion is now about 2 weeks closer to the Northern Hemisphere summer solstice (it coincided with the winter solstice about 900 years ago)
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Supported by NOAA grant NA96GP0415 and by a separate NOAA/DOE grant through Battelle/Pacific Northwest Laboratories. I thank E. Bard, S. Baum, M. Collins, G. Hegerl, W. Hyde, P. Jones, K.-Y. Kim, J. Lean, T. Lowery, M. MacCracken, M. Mann, G. North, H. Oerlemans, W. F. Ruddiman, M. Stuiver, R. Voss, and the reviewers for comments and/or assistance
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Supported by NOAA grant NA96GP0415 and by a separate NOAA/DOE grant through Battelle/Pacific Northwest Laboratories. I thank E. Bard, S. Baum, M. Collins, G. Hegerl, W. Hyde, P. Jones, K.-Y. Kim, J. Lean, T. Lowery, M. MacCracken, M. Mann, G. North, H. Oerlemans, W. F. Ruddiman, M. Stuiver, R. Voss, and the reviewers for comments and/or assistance.
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