Literature DB >> 17901317

Comment on "A semi-empirical approach to projecting future sea-level rise".

Torben Schmith1, Søren Johansen, Peter Thejll.   

Abstract

Rahmstorf (Reports, 19 January 2007, p. 368) used the observed relation between rates of change of global surface temperature and sea level to predict future sea-level rise. We revisit the application of the statistical methods used and show that estimation of the regression coefficient is not robust. Methods commonly used within econometrics may be more appropriate for the problem of projected sea-level rise.

Entities:  

Year:  2007        PMID: 17901317     DOI: 10.1126/science.1143286

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  2 in total

1.  Global sea level linked to global temperature.

Authors:  Martin Vermeer; Stefan Rahmstorf
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-07       Impact factor: 11.205

2.  Long-memory and the sea level-temperature relationship: a fractional cointegration approach.

Authors:  Daniel Ventosa-Santaulària; David R Heres; L Catalina Martínez-Hernández
Journal:  PLoS One       Date:  2014-11-26       Impact factor: 3.240

  2 in total

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