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Evaluation of the Simulated Mean Climate using PCMDI Summary Statistics

PI: Peter Gleckler
Institution: Lawrence Livermore National Laboratory / PCMDI
Abstract:
Evaluation of the Simulated Mean Climate using PCMDI Summary Statistics Evaluation of the control runs in this new simulation data set will provide an important foundation for the analysis of the various scenario simulations. We intend to apply simulation summary statistics developed at PCMDI (including already published and new metrics) to evaluate global and large scale climatological features of the coupled control runs being run for AR4. A diverse collection of observationally-based reference data will be utilized. Taylor and Portrait Plots, both used in the TAR, will be revisited and expanded, comparing models with each other and available observations. These newer simulations will also be compared with those in the CMIP2+ database, and the multi-model mean from both (CMIP2+ and the newer IPCC AR4) will be compared. Virtually all of the monthly mean database for which we have observational estimates will be utilized.
Publications:
  • Gleckler, P.J., K.E. Taylor, and C. Doutriaux, 2008: Performance Metrics for Climate Models. J. Geophys. Res, 113, doi:10.1029/2007JD008972. Abstract. Full Article. Edit.

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