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Volumn 275, Issue 5302, 1997, Pages 957-960

Twentieth-century sea surface temperature trends

Author keywords

[No Author keywords available]

Indexed keywords

AIR TEMPERATURE; ARTICLE; ATMOSPHERE; CLIMATE; GREENHOUSE EFFECT; MODEL; PACIFIC OCEAN; PRIORITY JOURNAL; SEA; TROPICS;

EID: 0030621272     PISSN: 00368075     EISSN: None     Source Type: Journal    
DOI: 10.1126/science.275.5302.957     Document Type: Article
Times cited : (442)

References (44)
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    • The thermocline is a region of sharp temperature change separating the warm surface layers from the cold abyssal waters.
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    • G. A.. Meehl and W. M. Washington [Nature 382, 56 (1996)] provide an alternative mechanism for greater east Pacific warming. Following V. Ramanathan and W. D. Collins [ibid. 351, 27 (1991)], they assumed that the albedo of deep convective clouds increases with SST. As the climate warms, this larger albedo reduces the solar radiation absorbed in the west Pacific relative to that in the east. This cirrus cloud thermostat mechanism has been criticized by some [see, for example, R. Fu, A. D. DelGenio, W. B. Rossow, W. T. Liu, ibid. 358, 394 (1992); D. Hartmann and M. Michelson, J. Clim. 6, 2049 (1993); R. T. Pierrehumbert, J. Atmos. Sci. 52, 1784 (1995)].
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    • G. A.. Meehl and W. M. Washington [Nature 382, 56 (1996)] provide an alternative mechanism for greater east Pacific warming. Following V. Ramanathan and W. D. Collins [ibid. 351, 27 (1991)], they assumed that the albedo of deep convective clouds increases with SST. As the climate warms, this larger albedo reduces the solar radiation absorbed in the west Pacific relative to that in the east. This cirrus cloud thermostat mechanism has been criticized by some [see, for example, R. Fu, A. D. DelGenio, W. B. Rossow, W. T. Liu, ibid. 358, 394 (1992); D. Hartmann and M. Michelson, J. Clim. 6, 2049 (1993); R. T. Pierrehumbert, J. Atmos. Sci. 52, 1784 (1995)].
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    • note
    • "Coupling" is used in the ENSO literature to mean a feedback loop wherein a given change in SST causes a change in equatorial wind stress that results in a change in thermocline depth and finally SST. The ratio of the final to initial SST change would be a measure of "coupling" strength. Note that the oceanic changes are dynamical. Thermodynamics enters the loop only through its effect on wind stress.
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    • note
    • A. Kaplan et al. (in preparation) present a global analysis and validation. The method [developed by A. Kaplan, M. A. Cane, Y. Kushnir, and B. Blumenthal (in preparation)] uses empirically derived time and space covariance estimates to obtain an optimally smoothed analysis of Atlantic SSTs from 1856 to 1991. The analysis procedure is similar to so-called "optimal interpolation" in that it uses estimates of spatial covariance to fill gaps in the data. In addition, it makes limited use of temporal covariance estimates in a Kalman Smoother algorithm; the SST data comes from (27).
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    • Although the analysis extends from 1856 to 1991, we went back no further than 1900 because of suspicions that the 19th-century SSTs are systematically in error (1, 20).
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    • The Lamont model has a well-known bias that places the maximum SST anomaly too far east; allowing for this would further increase the resemblance of Fig. 1 to the observed pattern.
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    • note
    • The global pattern correlation between Fig. 3, A and B, is 0.97. We also computed the first empirical orthogonal function of the data with ENSO removed; its principal component is largely trend and correlates with the trend patterns at 0.95 or more.
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    • M. Bottomley, C. K. Folland, J. Hsiung, R. E. Newell, D. E. Parker, Global Ocean Surface Temperature Atlas (GOSTA) (Her Majesty's Stationary Office, London, 1990). This atlas is based on the U.K. Meteorological Office Main Marine Data Bank and includes corrections for systematic measurement errors. The version of the GOSTA data set that was used in (21), MOHSST5 [D. E. Parker et al., in Natural Climate Variability on Decade to Century Timescales (National Academy Press, Washington, DC, 1996), pp. 244-250], incorporates COADS (28) values where GOSTA data are deficient and uses an improved scheme of corrections for instrumental biases [C. K. Folland and D. E. Parker, Q. J. R. Meteorol. Soc. 121, 319 (1995)].
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