Eric Hillebrand

Data revisions and the statistical relation of global mean sea-level and temperature

Publikation: Working paperForskning


  • rp15_23

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  • Eric Hillebrand
  • Søren Johansen, Københavns Universitet
  • ,
  • Torben Schmith, The Danish Meteorological Institute, Danmark
We study the stability of the estimated statistical relation of global mean temperature and global mean sea-level with regard to data revisions. Using three different model specifications proposed in the literature, we compare coefficient estimates and forecasts using two different vintages of the annual time series. We find that two out of the three models, proposed in [1] and in [2], are very sensitive to the revisions. The magnitude of the estimated coefficient of influence as well as the implied long-term forecasts change drastically between the two data vintages considered. The model proposed in [3], on the other hand, reacts robustly to the revisions.
UdgiverInstitut for Økonomi, Aarhus Universitet
Antal sider12
StatusUdgivet - 19 maj 2015
SerietitelCREATES Research Papers


  • Sea-level, temperature, semi-empirical models, data revisions

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