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Comment
. 2010 Jul 20;107(29):E116-7; author reply E118.
doi: 10.1073/pnas.0914942107. Epub 2010 Jul 13.

Critique of the methods used to project global sea-level rise from global temperature

Comment

Critique of the methods used to project global sea-level rise from global temperature

Fernando González Taboada et al. Proc Natl Acad Sci U S A. .
No abstract available

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Relationships between sea level (Ht) and the cumulated temperature anomaly formula image and between Ht and the temperature anomaly (Tt). The panels present the same relationship between raw (small, light grey points) and smoothed and binned (large, dark grey points) data. The lines and ribbons correspond to linear regression and confidence intervals estimated for smoothed and binned data, and they have been included to illustrate the expected sign of a hypothetical linear relationship between the variables. Note that, in both refs. and , the effect of these variables on sea level was the opposite sign than that shown here.

Comment on

  • Global sea level linked to global temperature.
    Vermeer M, Rahmstorf S. Vermeer M, et al. Proc Natl Acad Sci U S A. 2009 Dec 22;106(51):21527-32. doi: 10.1073/pnas.0907765106. Epub 2009 Dec 7. Proc Natl Acad Sci U S A. 2009. PMID: 19995972 Free PMC article.

References

    1. Rahmstorf S. A semi-empirical approach to projecting future sea-level rise. Science. 2007;315:368–370. - PubMed
    1. Vermeer M, Rahmstorf S. Global sea level linked to global temperature. Proc Natl Acad Sci USA. 2009;106:21527–21532. - PMC - PubMed
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    1. Solomon S, et al., editors. The Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press; 2007. Intergovernmental Panel on Climate Change.

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