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Predict future climate based on energy policy scenarios, improve climate models, inform national science policy, contribute to DOE science mission.
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Climate Science Computational End Station James B. White III (Trey) Scientific Computing Center for Computational Sciences Warren Washington (Principal Investigator)National Center for Atmospheric Research
Objectives of the Climate Science Computational End Station • Predict future climate • Based on scenarios ofanthropogenic emissions • Resulting from optionsin energy policies • Deliver simulations thatimprove climate models • Scientific basis • Accuracy • Fidelity • Inform national science policy • Thus contribute to DOE science mission
Approach of the Climate Science Computational End Station • Develop, maintain, and support the Community Climate System Model (CCSM) • Execute high-priority simulations at LCF • Outreach to research community • Simulation products • Analysis of model results • CCSM Workshop • Champion and execute research program to deliver CCSM4 in three years • In time for next assessment by the Intergovernmental Panelon Climate Change (IPCC)
CCSM4 Development Objectives • Document, understand, and correct biases and systematic errors • Improve simulation of important quantities, like regional precipitation patterns • Higher resolution in dynamics • Higher fidelity in physical parameterizations • Characterize dominant nonlinear dynamical mechanisms • Climate variability and abrupt transitions • Ice and ocean processes with long timescales but small characteristic length scales • Quantify nature and timing of biogeochemical feedbacks • Atmosphere, ocean, and land • Impacting global carbon cycle
Unique Value of the Climate Computational End Station • Coordination of development and simulations • Priority setting in climate-change research simulations • Sharing of software expertise • Development of scalable solutions
Roles within the Climate Science Computational End Station • National Center for Atmospheric Research • Higher-resolution atmosphere • Improved physical processesthat remove biases • Climate-change studies • Los Alamos NationalLaboratory • Increased resolution of oceanand sea-ice models • High-resolution coupled experiments • Ocean biogeochemistry models • Lawrence LivermoreNational Laboratory • Comparison and validation of new models • Scaled, distributed analysis infrastructure • Development and testing of high-resolution atmosphere models
Roles within the Climate Science Computational End Station • Pacific Northwest National Laboratory • Downscaling to investigate regional water resources • Embedded cloud-resolving models • Physically based replacements forcloud parameterizations • NASA Goddard Space Flight Center • New observations and measurementsto evaluate models • Advanced data-assimilation technologies • Improvements for policy formulation and impact planning • Oak Ridge National Laboratory • Software integration • Coupled carbon-cycle simulation • Biogeochemistry feedbacks • Additional experiments by university partners
2006 Accomplishments of Climate Computational End Station: Phoenix • Allocated 2,000,000 processor hours • First-ever control run of CCSM with finite-volume dynamical core • 400 years of simulation • Highlighted at CCSM Workshop • Production CCSM simulations with natural forcing • Starting new runs with anthropogenic forcing • High-resolution runs of Community Atmosphere Model (CAM) • Spectral dynamical core at T170 and T341 resolution (production runs typically at T85) • Finite-volume dynamical core at half-degree resolution (production runs typically at 2 degrees)
2006 Accomplishments of Climate Computational End Station: Phoenix • Carbon Land Model Inter-comparison Project (C-LAMP) • CN, CASA’, IBIS • Spin-ups complete, control runs starting • WRF downscaling simulation • 15-km resolution over Western US • Driven by NCEP/DOE global reanalysis • Port of NASA GEOS-5 • Port of new CICE 4.0 9 White_NLCFClimateSci_0611
2006 Accomplishments of Climate Computational End Station: Jaguar • Awarded 3,000,000 processor hours • Spin-up of POP 2.1 ocean model at 0.1-degree resolution • Tripole grid • Partial bottom cells • New tracer algorithms • Initial port of new CICE 4.0 model • Tripole grid • Plans for 0.1-degree resolution, coupled to POP • First-ever validation run of single-executable CCSM • Port of new CICE 4.0
Plans for the Climate Computational End Station • 2007 • Studies of model bias using coupled, high-resolution atmosphere and ocean • Simulation of dynamic ecosystem feedback • High-resolution ocean thermohaline circulationand deep-water formation • 2008 • Fully coupled physicalclimate at high resolution • Chemical coupling ofclimate and ecosystems • Climate sensitivity ofhigh-resolution coupled model
Contacts • James B. White III(Trey)Scientific ComputingCenter for Computational Sciencestrey@ornl.gov Warren Washington(Principal Investigator)National Center for Atmospheric Research 12 White_NLCFClimateSci_0611