Please note that some of the links to references below may be
behind paywalls (i.e., you may need to pay to read them if you
don't have the right library access).
R code to read and
normalize data
Reference: Hansen, J., R. Ruedy, M. Sato, and K. Lo, 2010: Global
surface temperature change, Rev. Geophys., 48,
RG4004, doi:10.1029/2010RG000345
Latest GISS global mean temperature data
set (txt format)
Rahmstorf 2007 data set
(txt format)
Vermeer and Rahmstorf 2009 data
set (txt format)
References: Domingues, C.M., J.A. Church, N.J. White, P.J.
Gleckler, S.E. Wijffels, P.M. Barker and J.R. Dunn (2008),
Improved estimates of upper-ocean warming and multi-decadal
sea-level rise. Nature, 453,
1090-1094, doi:10.1038/nature07080.
Church, J. A., and N. J. White (2006), A 20th century acceleration in global sea-level rise, Geophys. Res. Lett., 33, L01602, doi:10.1029/2005GL024826.
Latest GMSL data set
(Jan. 1870- Feb. 2011) (csv format)
GMSL
for 1870 to 2001 (used in Rahmstorf
2007 and Vermeer and Rahmstorf 2009) (txt format)
Reference: WCRP Coupled Model Intercomparison Project – Phase 5: Special Issue of the CLIVAR Exchanges Newsletter, No. 56, Vol. 15, No. 2
Data
from 45 models (1850-2300, four RCPs) in NetCDF
format
Reference: NOAA Technical Report NOS CO-OPS 53, Sea
Level Variations of the United States 1854-2006.
Seattle gauge data
(rlrdata format; can be read as txt)
Seattle hourly tides 1996
(txt format)
Budd inlet hourly
tides 1996 (txt format)
Link to our updated R07
analysis code
The following paper is the source for the model we use in our
analysis.
The following paper is a supposed improvement on the Rahmstorf
2007 model. In our analysis we found that this model does not
improve the fit, when taking into account the temporal
dependence structure. The code used for this analysis is also
given.
R code for
Vermeer and Rahmstorf 2009 analysis and our extension to
the time series case.
The following paper is an alternative semi-empirical model to
relate sea level to temperature. Again, our analysis shows it
not to be an improvement over Rahmstorf 2007 (code not given).
Contact: peter (at) stat.washington.edu