The Community Climate System Model Version 4

Author:

Gent Peter R.1,Danabasoglu Gokhan1,Donner Leo J.2,Holland Marika M.1,Hunke Elizabeth C.3,Jayne Steve R.4,Lawrence David M.1,Neale Richard B.1,Rasch Philip J.5,Vertenstein Mariana1,Worley Patrick H.6,Yang Zong-Liang7,Zhang Minghua8

Affiliation:

1. National Center for Atmospheric Research, Boulder, Colorado

2. Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

3. Los Alamos National Laboratory, Los Alamos, New Mexico

4. Woods Hole Oceanographic Institution, Woods Hole, Massachusetts

5. Pacific Northwest National Laboratory, Richland, Washington

6. Oak Ridge National Laboratory, Oak Ridge, Tennessee

7. University of Texas, Austin, Texas

8. Stony Brook University, Stony Brook, New York

Abstract

The fourth version of the Community Climate System Model (CCSM4) was recently completed and released to the climate community. This paper describes developments to all CCSM components, and documents fully coupled preindustrial control runs compared to the previous version, CCSM3. Using the standard atmosphere and land resolution of 1° results in the sea surface temperature biases in the major upwelling regions being comparable to the 1.4°-resolution CCSM3. Two changes to the deep convection scheme in the atmosphere component result in CCSM4 producing El Niño–Southern Oscillation variability with a much more realistic frequency distribution than in CCSM3, although the amplitude is too large compared to observations. These changes also improve the Madden–Julian oscillation and the frequency distribution of tropical precipitation. A new overflow parameterization in the ocean component leads to an improved simulation of the Gulf Stream path and the North Atlantic Ocean meridional overturning circulation. Changes to the CCSM4 land component lead to a much improved annual cycle of water storage, especially in the tropics. The CCSM4 sea ice component uses much more realistic albedos than CCSM3, and for several reasons the Arctic sea ice concentration is improved in CCSM4. An ensemble of twentieth-century simulations produces a good match to the observed September Arctic sea ice extent from 1979 to 2005. The CCSM4 ensemble mean increase in globally averaged surface temperature between 1850 and 2005 is larger than the observed increase by about 0.4°C. This is consistent with the fact that CCSM4 does not include a representation of the indirect effects of aerosols, although other factors may come into play. The CCSM4 still has significant biases, such as the mean precipitation distribution in the tropical Pacific Ocean, too much low cloud in the Arctic, and the latitudinal distributions of shortwave and longwave cloud forcings.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference48 articles.

1. A monthly and latitudinally varying volcanic forcing dataset in simulations of 20th century climate

2. Modeling Diurnal and Intraseasonal Variability of the Ocean Mixed Layer

3. The NCAR Climate System Model, Version One*

4. Briegleb, B. P., and B. Light, 2007: A delta-Eddington multiple scattering parameterization for solar radiation in the sea ice component of the Community Climate System Model. NCAR Tech. Note 472 + STR, 100 pp.

5. Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850

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