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Discover the elite CCSM, delving into Earth's climate complexity. Investigate seasonal variability, explore historical climate data, and anticipate future trends. Learn about the latest version and contributions to IPCC reports. Gain insights into model components and computational requirements. Join the quest to understand Earth's climate with CCSM.
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An Introduction to NCAR Community Climate System Model (CCSM) Wanli Wu (wanliwu@ucar.edu) National Center for Atmospheric Research (NCAR)
What is CCSM • Community Climate System Model, one of elite climate models in the world to picture the complexity of the Earth’s climate. • It has been developed by NCAR scientists in collaboration with researchers at Universities, National Laboratories. • The CCSM program is sponsored by US NSF and Dept. of Energy. • It houses at National Center for Atmospheric Research with open source codes, documents for all interested users in the world.
Develop a comprehensive model to study the Earth’s Climate. Investigate seasonal and interannual variability of the climate. Explore the history of the Earth’s climate. Estimate the future of the climate. Release of a new version (CCSM3, June, 2004). Studies linking SST fluctuations, extreme events and extratropic variability. Simulations of paleoclimate. Contributions to IPCC AR4. Special issues: J. Climate (June 1, 2006) and IJHPCA (2005) CCSM Program:Scientific Objectives & Recent Accomplishments
CCSM: components • atm: Atmospheric model (CAM3, T85L26) • lnd: Land model (CLM3, T85) • ocn: Oceanic Model (POP 1.4, x1L40) • ice: Sea ice model (CSIM5, x1) • cpl: Coupler (CPL 6)
CCSM3: Computational Requirements • IBM power 3-5 • SGI Altix & Origin • Cray X1/X1E & XT3 • NEC SX • Xeon & Itanium Linux On IBM power 4: T85x1 1146 CPU hrs/myr T42x1 293 CPU hrs/myr T31x3 62 CPU hrs/myr
The Atmospheric model: CAM • Dynamics: • Spectral • Finite volume • Physics: • Deep & shallow convection • Prognostics condensate & precipitation parameterization • Diagnostic parameterization of cloud fraction • Band-model radiative transfer • Prognostic and diagnostic aerosols
The Ocean model: POP • A Bryan-Cox type and z-coordinate model. • Controlled by primitive equations subject to hydrostatic & Boussinesq approximations. • Conserved global ocean volume • Gent-McWilliam isopycnal mixing • KPP vertical mixing • x1L40 or x3L25 • 1/10 degree
Sea ice model: CSIM • Ice dynamics • Ice thermodynamics • Subgrid scale ice thickness distribution (ITD)
Coupling methodology • The physical component models communicate through the coupler in a completely asynchronous manner (different grid and different time steps). • The coupler • governs the execution and time evolution of the entire system. • provides interface flux conditions and state information to each model. • enforces flux conservation.
Pressing Issues, Challenges & Opportunity • Representation of major variability modes • Pacific double ITCZ • Continental precipitation and temperature biases • Eastern Ocean boundary SST biases • Eastern Pacific semiannual SST cycle • Arctic downward short-wave radiation bias
Work in progress: Chemistry • Atmospheric chemistry • Terrestrial C/N cycle, ecosystems • Marine biogeochemical cycle
Work in progress: Nesting • WRF --> CAM • ROMS --> POP
Work in progress: weather-climate interaction • Crossing-scale interaction • Test climate models as weather models
Work in progress: tropical variability • Reduce tropical biases related to MJO, ENSO
Work in progress: Air quality/pollution vs. climate • Climate model application
CCSM4: Community Earth System Model (CESM, 2009?) • A model of everything • More component model options