Review of simulations of climate variability and change with the GFDL R30 coupled climate model

PDF: http://data.dhkim.info/monograph/CD/9XWTD3DPN6WQJ466.pdf

Climate Dynamics
Publisher: Springer-Verlag Heidelberg
ISSN: 0930-7575 (Paper) 1432-0894 (Online)
DOI: 10.1007/s00382-002-0249-5
Issue: Volume 19, Number 7

Date:  September 2002
Pages: 555 - 574  
Review of simulations of climate variability and change with the GFDL R30 coupled climate model


T. Delworth, R. Stouffer, K. Dixon, M. Spelman, T. Knutson, A. Broccoli, P. Kushner, R. Wetherald

A1 GFDL/NOAA, PO Box 308, Princeton University, Princeton, NJ 08542, USA


Abstract:


Abstract.A review is presented of the development and simulation characteristics of the most recent version of a global coupled model for climate variability and change studies at the Geophysical Fluid Dynamics Laboratory, as well as a review of the climate change experiments performed with the model. The atmospheric portion of the coupled model uses a spectral technique with rhomboidal 30 truncation, which corresponds to a transform grid with a resolution of approximately 3.75° longitude by 2.25° latitude. The ocean component has a resolution of approximately 1.875° longitude by 2.25° latitude. Relatively simple formulations of river routing, sea ice, and land surface processes are included. Two primary versions of the coupled model are described, differing in their initialization techniques and in the specification of sub-grid scale oceanic mixing of heat and salt. For each model a stable control integration of near millennial scale duration has been conducted, and the characteristics of both the time-mean and variability are described and compared to observations. A review is presented of a suite of climate change experiments conducted with these models using both idealized and realistic estimates of time-varying radiative forcing. Some experiments include estimates of forcing from past changes in volcanic aerosols and solar irradiance. The experiments performed are described, and some of the central findings are highlighted. In particular, the observed increase in global mean surface temperature is largely contained within the spread of simulated global mean temperatures from an ensemble of experiments using observationally-derived estimates of the changes in radiative forcing from increasing greenhouse gases and sulfate aerosols.