Rosinski, 2008: A new sea surface temperature and sea ice boundary dataset for the community atmosphere model. R., and Coauthors, 2011: The community climate system model version 4. Wang, 2012: Preliminary evaluation of the cloud fraction simulations by GAMIL2 using COSP. Science, 317, 935–937.ĭeser, C., and Coauthors, 2012: ENSO and Pacific decadal variability in community climate system model version 4. A., and Coauthors, 2007: Temporal variability of the Atlantic meridional overturning circulation at 26.5°N. In ternational Journal of High Performance Computing Applications, 19, 309–327.Ĭunningham, S. He, 2005: Cpl6: The new extensible, high-performance parallel coupler for the community climate system model. D., and Coauthors, 2003: Description of the NCAR community atmospheric model (CAM2). Ocean Modelling, 15, 274–298.Ĭionni, I., and Coauthors, 2011: Ozone database in support of CMIP5 simulations: Results and corresponding radiative forcing. Masina, 2006: Spatial and temporal structure of tropical Pacific interannual variability in 20th century climate simulations. Part II: Vertical diffusivities of momentum, heat, salt, mass, and passive scalars. Part I: Onepoint closure model-Momentum and heat vertical diffusivities. Jones, 2006: Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850. The sea ice salinity simulation is one of the unique characteristics of FGOALS-g2, although it is somehow inconsistent with empirical observations in the Antarctic.īodas-Salcedo, A., and Coauthors, 2011: COSP: Satellite simulation software for model assessment. The annual cycle of sea surface temperature along the equator in the Pacific is significantly improved in the new version. For example,FGOALS-g2 better simulates the frequency of tropical land precipitation, East Asian Monsoon precipitation and its seasonal cycle, MJO and ENSO, which are closely related to the updated cumulus parameterization scheme, as well as the alleviation of uncertainties in some key parameters in shallow and deep convection schemes, cloud fraction, cloud macro/microphysical processes and the boundary layer scheme in its atmospheric model. The results suggest that many obvious improvements have been achieved by the FGOALS-g2 compared with the previous version,FGOALS-g1, including its climatological mean states, climate variability, and 20th century surface temperature evolution. This study mainly introduces the development of the Flexible Global Ocean-Atmosphere-Land System Model: Grid-point Version 2 (FGOALS-g2) and the preliminary evaluations of its performances based on results from the pre-industrial control run and four members of historical runs according to the fifth phase of the Coupled Model Intercomparison Project (CMIP5) experiment design.
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