Statistics – Computation
Scientific paper
Jan 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008georl..3502715h&link_type=abstract
Geophysical Research Letters, Volume 35, Issue 2, CiteID L02715
Statistics
Computation
9
Atmospheric Composition And Structure: General Or Miscellaneous, Cryosphere: Glaciers, Biogeosciences: Computational Methods And Data Processing
Scientific paper
The semi-empirical relationship between global surface air temperature and mean sea level first developed by Rahmstorf is here applied to the latest generation of Coupled Global Climate Models (CGCMs) used for the IPCC Fourth Assessment Report (AR4). Our results produce a broader range of sea level rise projections, especially at the higher end, than outlined in IPCC AR4. The range of sea level rise results is CGCM and emissions-scenario dependent, and not sensitive to initial conditions or how the data are filtered temporally. Both the IPCC AR4 and the semi-empirical sea level rise projections described here are likely to underestimate future sea level rise if recent trends in the polar regions accelerate.
Gornitz Vivien
Herweijer Celine
Horton Radley
Liu Jiping
Rosenzweig Cynthia
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