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The Earth System Grid: Turning Climate Datasets into Community Resources

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Title: The Earth System Grid: Turning Climate Datasets into Community Resources


1
The Earth System Grid Turning Climate Datasets
into Community Resources
  • www.earthsystemgrid.org

2
The growing importance of climate simulation data
  • DOE invests broadly in climate change research
  • Development of climate models
  • Climate change simulation
  • Model intercomparisons
  • Observational programs
  • Climate change research is increasingly data
    intensive
  • Analysis and intercomparison of simulation and
    observations from many sources
  • Data used by model developers, impacts analysts,
    policymakers

Results from the Parallel Climate Model (PCM)
depicting wind vectors, surface pressure, sea
surface temperature, and sea ice concentration.
Prepared from data published in the ESG using the
FERRET analysis tool by Gary Strand, NCAR.
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3
Earth System Grid objectives
To support the infrastructural needs of the
national and international climate community, ESG
is providing crucial technology to securely
access, monitor, catalog, transport, and
distribute data in todays Grid computing
environment.
HPChardware running climate models
ESG Portal
ESGSites
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4
ESG facts and figures
5
ESG architecture and underlying technologies
  • Climate data
  • Metadata catalog
  • NcML (metadata schema)
  • OPenDAP-G (aggregation and subsetting)
  • Data management
  • Data Mover Lite
  • Storage Resource Manager
  • Globus toolkit
  • Globus Security Infrastructure
  • GridFTP
  • Monitoring and Discovery Services
  • Replica Location Service
  • Security
  • Access control
  • MyProxy
  • User registration

MSS, HPSS Tertiarydata storage systems
6
Evolving ESG to petascale
ESG Data System Evolution
2006
Early 2009
2011
  • Full data sharing (add to testbed)
  • Synchronized federation
  • metadata, data
  • Full suite of server-sideanalysis
  • Model/observation integration
  • ESG embedded into desktop productivity tools
  • GIS integration
  • Model intercomparison metrics
  • User support, life cycle maintenance
  • Central database
  • Centralized curated data archive
  • Time aggregation
  • Distribution by file transport
  • No ESG responsibility for analysis
  • Shopping-cart-oriented web portal
  • Testbed data sharing
  • Federated metadata
  • Federated portals
  • Unified user interface
  • Selected server-side analysis
  • Location independence
  • Distributed aggregation
  • Manual data sharing
  • Manual publishing

CSSM, IPCC,satellite, In situ biogeochemistry,e
cosystems
CCSMIPCC
ESG Data Archive
Terabytes
Petabytes
7
Architecture of thenext-generation ESG
  • Petascale data archives
  • Broader geographical distribution of archives
  • across the United States
  • around the world
  • Easy federation of sites
  • Increased flexibility and robustness

8
The team sponsors
National Oceanicand AtmosphericAdministration/PM
EL
National Center forAtmospheric Research
Argonne National Laboratory
Lawrence BerkeleyNational Laboratory
Lawrence LivermoreNational Laboratory/PCMDI
Oak RidgeNational Laboratory
USC InformationScience Institute
Los Alamos National Laboratory
9
For more information
  • ORNL booth at SC2006
  • David Bernholdt
  • Other booths at SC2006
  • ANL Ian Foster, Veronika Nefedova
  • Global Grid Forum Ann Chervenak, Carl Kesselman
  • LBNL Arie Shoshani, Alex Sim
  • NCAR Luca Cinquini, Jose Garcia, Don Middleton
  • Internet
  • http//www.earthsystemgrid.org
  • Esg-manage_at_earthsystemgrid.org

9 Bernholdt_ESG_0611
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