HR: 15:10h
AN: B33G-07
TI: Preliminary Results from the C4MIP Phase 1 Simulations Using the CCSM3-CLM3-CASA' Coupled Model
AU: * Hoffman, F M
AF: Oak Ridge National Laboratory, Building 5600, Room C221 Mailstop 6016 P.O. Box 2008, Oak Ridge, TN 37831-6016 United States
AU: Fung, I
AF: University of California at Berkeley, Department of Earth and Planetary Science, Berkeley, CA 94720 United States
AU: John, J
AF: University of California at Berkeley, Department of Earth and Planetary Science, Berkeley, CA 94720 United States
AB: The CASA' biosphere model, previously used in the Climate System Model Version 1 (CSM1), was recently coupled to the Community Land Model Version 3 (CLM3) within the NCAR Community Climate System Model Version 3 (CCSM3). CLM3 with CASA' was vectorized and optimized for performance portability on both vector and scalar supercomputer architectures. The resulting coupled model system was used to perform a set of simulations following the Coupled Carbon Cycle Climate Model Intercomparison Project (C4MIP) Phase 1 protocol with active atmosphere and land components on the Cray X1E vector supercomputer at Oak Ridge National Laboratory. Presented will be preliminary results from transient simulations using prescribed land cover, sea surface temperatures (SSTs), ice cover, ocean carbon fluxes, and fossil fuel emissions. The transient simulations all cover the period 1900-2000 under both fixed radiative and fully prognostic CO2 conditions. Also discussed will be the results from a fully coupled biogeochemistry simulation which includes an active ocean component (POP2 with biogeochemistry) and an active sea ice model using the newer finite volume dynamical core in the atmosphere model.
DE: 0322 Constituent sources and sinks
DE: 0325 Evolution of the atmosphere (1610, 8125)
DE: 0414 Biogeochemical cycles, processes, and modeling (0412, 0793, 1615, 4805, 4912)
DE: 0426 Biosphere/atmosphere interactions (0315)
DE: 0428 Carbon cycling (4806)
SC: Biogeosciences [B]
MN: Fall Meeting 2005

Research partially sponsored by the 1) Climate Change Research Division (CCRD) of the Office of Biological and Environmental Research (OBER), and 2) Mathematical, Information, and Computational Sciences (MICS) Division of the Office of Advanced Scientific Computing Research (OASCR) within the U.S. Department of Energy's Office of Science (SC). This research used resources of the National Center for Computational Science (NCCS) at Oak Ridge National Laboratory (ORNL) which is managed by UT-Battelle, LLC, for the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.