Statistics – Computation
Scientific paper
May 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007georl..3410702k&link_type=abstract
Geophysical Research Letters, Volume 34, Issue 10, CiteID L10702
Statistics
Computation
11
Computational Geophysics: Model Verification And Validation, Global Change: Global Climate Models (3337, 4928), Global Change: Climate Dynamics (0429, 3309), Global Change: Impacts Of Global Change (1225), Hydrology: Extreme Events
Scientific paper
The performance of five global coupled climate models in simulating temporal trends in annual indices of extremes in surface temperature and precipitation during the second half of the 20th century is examined. The selected models are all represented in the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Linear trend patterns for individual model runs along with single- and multimodel ensemble mean trend patterns are objectively compared against corresponding observed trend fields. Some positive effects of the multimodel ``super-ensemble'' approach were found when there was reasonable skill in contributing members.
Alexander Lisa V.
Caesar John
Collier Mark
Kiktev Dmitry
Shiogama Hideo
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