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ESG Observational Data Integration Presented by Feiyi Wang Technology Integration Group National Center of Computational Sciences
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Managed by UT-Battelle for the U. S. Department of Energy The Need for ESG: Climate Science Data Sharing
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Managed by UT-Battelle for the U. S. Department of Energy ESG Sponsors Current ESG Sites http://pcmdi3.llnl.gov/esgcet/home.htmhttp://esg.ucar.edu/home.htmhttp://esg2-gw.ccs.ornl.gov/esgcet/home.htm ESG-CET Federation Team ORNL LLNL NCAR NASA
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Managed by UT-Battelle for the U. S. Department of Energy ESG’s Broad Use LLNL CMIP-3 (IPCC AR4) ESG portal – 35 TB of data at one location 83,337 files, model data from 13 countries Generated by a modeling campaign coordinated by the Intergovernmental Panel on Climate Change (IPCC) ORNL (C-LAMP, CCSM Data) ESG portal – 71 TB of data at one location 270,378 files Includes all model data generated by he Carbon Land Model Intercomparison Project (C-LAMP) CDIAC and ARM NCAR CCSM ESG portal – 237 TB of data at four locations (NCAR, LBNL, ORNL, LANL) : 965,551 files Includes the past 7 years of joint DOE/NSF climate modeling experiments Broad Impact Over 2,700 sites 20,000 users 120 countries Over 1 PB downloaded 500 – 800 active users in a given month Over 600 published papers Courtesy: Gary Strand - NCAR Serving a wide range of model data Coupled Model Intercomparison Project, Phase 3 (CMIP-3) Community Climate System Model (CCSM) Parallel Climate Model (PCM) Parallel Ocean Program (POP) The North American Regional Climate Change Assessment Program (NARCCAP) Cloud Feedback Model Intercomparison Project (CFMIP) Carbon-Land Model Intercomparison Project (C-LAMP)
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Managed by UT-Battelle for the U. S. Department of Energy ESG: All About Federation
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Managed by UT-Battelle for the U. S. Department of Energy Carbon-Land Model Inter-comparison Project (C-LAMP) – An Exemplar Allows the scientific community to evaluate the performance of biogeochemical models normally coupled to general circulation models (GCMs). Established metrics to evaluate model performance via observational dataset inter-comparison Courtesy: Jamison Daniel- ORNL Courtesy: Forrest Hoffman- ORNL
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Managed by UT-Battelle for the U. S. Department of Energy Publishing High Impact Observational Data CDIAC – AmeriFlux (L2) – AmeriFlux (L4) – When available – Gridded Fossil Fuels ARM – Climate Modeling Best Estimate Atmospheric Quantities Cloud and Radiation Quantities ARM ArchiveCDIAC SponsorDOE BER Type of data Atmospheric processes, cloud dynamics Atmospheric gases, emissions data, Ameriflux Archive Size> 190 TB~ 400 GB Users/year~1000~350,000 Year Started19911982
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Managed by UT-Battelle for the U. S. Department of Energy ARM – Climate Modeling Best Estimate 1 1 2 2 3 3 Top level project Nested collections & datasets Nested collections & datasets File collection Harvested metadata File collection Harvested metadata
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Managed by UT-Battelle for the U. S. Department of Energy CDIAC – AmeriFlux Level 2
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Managed by UT-Battelle for the U. S. Department of Energy ESG Integration: Next Steps Support search of non CF-compliant variables Spatio-temporal search support – ORNL will lead this effort in the ESG community More flexible data model – In collaboration with NCAR and NASA JPL Enhanced search API and web intelligence – Support both RDF triple store and Next Generation Search Technologies Flexible data publishing workflow – Incremental, continuous, automated agents – In collaboration with LLNL Soliciting feedback on CDIAC user community requirements
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Managed by UT-Battelle for the U. S. Department of Energy Synergistic Activities – UV-CDAT The Ultra-scale Visualization – Climate Data Analysis Tools (UV-CDAT) – An integrated framework for end-to-end data analysis and visualization of climate model and observational datasets – Provenance, Workflow and automated inter-comparison (both model/model and model/observations)
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Managed by UT-Battelle for the U. S. Department of Energy Summary We published several high impact observational datasets and made them available to a broader community We made good progress on identifying the limitations of the current system and identifying areas of improvement We have developed a path forward to fully integrate high-impact Observational Datasets within ESG We developed a collaborative relationship between the ESG and observation dataset community and are playing an active role in extending ESG to support their requirements
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Managed by UT-Battelle for the U. S. Department of Energy ESG Integration Contributors NCCS Technology Integration Group – Galen Shipman (PI), Feiyi Wang, Ross Miller, John Harney Environment Science and Data Management Group – CDIAC: Thomas Boden, Misha Krassovski – ARM: Raymond McCord, Sigurd Christensen – Bruce Wilson, Jerry Pan, Giri Palanisamy CSM – Meili Chen Other contributors – Bob Drach (PCMDI/LLNL) – Luca Cinquini (NASA/JPL) – Eric Neinhouse (NCAR)
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Managed by UT-Battelle for the U. S. Department of Energy Thank You
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