O AK R IDGE N ATIONAL L ABORATORY U.S. D EPARTMENT OF E NERGY Data Requirements for Climate and Carbon Research John Drake, Climate Dynamics Group Computer.

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O AK R IDGE N ATIONAL L ABORATORY U.S. D EPARTMENT OF E NERGY Data Requirements for Climate and Carbon Research John Drake, Climate Dynamics Group Computer Science and Mathematics Division

O AK R IDGE N ATIONAL L ABORATORY U.S. D EPARTMENT OF E NERGY SciDAC: Collaborative Design and Development of the Community Climate System Model DOE, NSF, NASA-DAO Collaborative Effort Coordination – Malone(LANL), Drake(ORNL), Kiehl(NCAR) Coupler – Bettge (NCAR), Larson (ANL) Community Atmospheric Model – Williamson(NCAR), Drake(ORNL), Lin(NASA), Mirin(LLNL) POP Ocean Model – Malone(LANL), Gent(NCAR) Chemistry and Biogeochemistry – Rotman(LLNL), Erickson(ORNL) Ice model – Hunke(LANL) Common Land Model – Bonan (NCAR) Software Coordination – Craig (NCAR) Performance Evaulation – Bailey(LBNL), Worley (ORNL) Grids and Frameworks: SciDAC/Earth System Grid – Williams(PCMDI), NASA HPC/ Earth System Modeling Framework Other SciDAC projects and the Integrated Software Infrastructure Centers Sponsored by DOE/OASCR and OBER as well as NSF and NASA

O AK R IDGE N ATIONAL L ABORATORY U.S. D EPARTMENT OF E NERGY Global Climate Change Analysis

O AK R IDGE N ATIONAL L ABORATORY U.S. D EPARTMENT OF E NERGY Courtesy Warren Washington

O AK R IDGE N ATIONAL L ABORATORY U.S. D EPARTMENT OF E NERGY Climate Science Enabled Science 13April 2001: “Detection of Anthropogenic Climate Change in the Worlds Oceans,” Barnett, Pierce, Schnur Method: Ensemble simulations of the DOE Parallel Climate Model (PCM) Results: Detection of Anthropogenic Climate Change in the Worlds Oceans Ensembles establish 95% confidence intervals of model predictions Simulated ocean heat storage matches historical record of rising ocean temperatures Enabling Technology: Parallel Climate Model developed in collaborative effort lead by Warren Washington (NCAR) Terascale computing resources Firsts: Ensemble study with US model and computers Coupled model reproducing ocean response Establishing new level of US model quality

O AK R IDGE N ATIONAL L ABORATORY U.S. D EPARTMENT OF E NERGY Teams Using Multiple Centers DOE Supports Analysis and Archiving of Climate Data at PCMDI. NASA DAO PCMDINCAR GFDL LANL ORNL-CCS LANL NERSC NCDC

O AK R IDGE N ATIONAL L ABORATORY U.S. D EPARTMENT OF E NERGY Diagonstic Analysis of Coupled Models Courtesy PCMDI Courtesy CCSM/AMWG

O AK R IDGE N ATIONAL L ABORATORY U.S. D EPARTMENT OF E NERGY Tools

O AK R IDGE N ATIONAL L ABORATORY U.S. D EPARTMENT OF E NERGY Climate Scientific Directions 2000/ /2007 Global Models Current Estimates Configurations: Atmosphere 230kmL18 30km/L60(75x) Ocean 100kmL40 10km/L40(25x) Model years/day 5 100(20x) Sustained(Gflops) (1500x) Storage (TB/century) At current scientific complexity a century/day at 2006 configurations requires a sustained capability of 10Tflops for a single case

O AK R IDGE N ATIONAL L ABORATORY U.S. D EPARTMENT OF E NERGY

O AK R IDGE N ATIONAL L ABORATORY U.S. D EPARTMENT OF E NERGY Challenges Integration with existing tools Extension of existing tools for multiple component climate system models Speed of transfers Parallelism: I/O(NetCDF) and analysis Metadata and Grid databases Analysis of ensembles Advanced statistical methods for analysis of coupled systems.