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METAFOR Common Meta data for Climate Modelling Digital Repositories

Total budget of 2.2M€ (£1.5M, 3M$) Starting in March 2008 Duration 3 years. 11 partners NCAS, UK (Coordinator) BADC, UK CERFACS, France Models and Data, MPI, Germany IPSL, France University of Manchester, UK Met Office, UK Administratia Nationala de Meterologie, Romania

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METAFOR Common Meta data for Climate Modelling Digital Repositories

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  1. Total budget of 2.2M€ (£1.5M, 3M$) Starting in March 2008 Duration 3 years • 11 partners • NCAS, UK (Coordinator) • BADC, UK • CERFACS, France • Models and Data, MPI, Germany • IPSL, France • University of Manchester, UK • Met Office, UK • Administratia Nationala de Meterologie, Romania • Météo France, CNRM, France • CLIMPACT, France • CICS, Princeton University, USA METAFOR Common Metadata for Climate Modelling Digital Repositories EU I3 Infrastructure project - The proposal

  2. Vision ofMETAFOR An Information Model that is common for all stages of both production and the use of climate model data. Tools that populate, create, manipulate, convert and exploit this Common Information Model to allow climate models and climate model data to be inter-comparable and sharable. CIM Common Information Model based on current, emerging and new metadata standards EU I3 Infrastructure project - The proposal

  3. The open standard developed in METAFOR will play a catalytic role in the way next generation climate data repositories, such as IPCC AR5, are organised, preserved and accessed. The diagram below shows the nature of the current 4th assessment of the Intergovernmental Panel on Climate Change (IPCC AR4) data repository and shows the challenge for IPCC AR5 which will be larger, more comprehensive and more complex. EU I3 Infrastructure project - The proposal

  4. METAFOR has 286 person months of effort WP 6 CIM creation tools CIM Common Information Model WP 2 WP 3 Verification WP 4 Data Portals WP 5 CIM exploitation tools

  5. Oct 2007 Oct 2009 Oct 2010 Oct 2011 Oct 2008 Curator METAFOR AR5 Expt design running expts AR5 Portal Metadata Metadata Metadata requirements collection delivery • Timelines are tight • AR5 experiments could be running before metadata standards and tools are available in their final form • Limited effort is available for accommodating modelling groups outside the current European/US METAFOR/Curator discussions

  6. Oct 2007 Oct 2009 Oct 2010 Oct 2011 Oct 2008 Curator METAFOR AR5 • METAFOR for AR5 • CIM based data portals design and implementation • CIM to encompass AR5 • metadata requirements  Access to CIM tools and services • CIM verification  part of AR5 quality control • CIM tools for ingestion  tools made available to modellers • CIM exploitation tools

  7. METAFOR has to work closely with AR5, as this is it’s key use case • definition of metadata requirements • First 3 months of METAFOR metadata gap analysis • Q: what metadata was missing from AR4 that would have enhanced the shareability, the analysis and the understanding of the AR4 data set • logistics of collecting data and metadata • Q: can METAFOR build on Curator experience to enhance the metadata management issues? • sharing of metadata tools and services • In designing tools and services can METAFOR be involved in • Playing a part in AR5 quality control • Taking part in the CMOR re-design? - Delivery of data via the distributed data portals… BADC, WCDC will be CIM compliant data services

  8. CIM Common Information Model based on current, emerging and new metadata standards Key to success will be understanding the metadata need and requirements PRISM NMM FLUME Curator CF Metadata Provenance international standards {ISO} community standards {CF} project standards {NMM} workflow standards {Curator, ESG, FLUME} hand generated {Numsim, DIF} externally imposed {CMOR,CERA} CIM metadata is common but an amalgam of different standards with diverse governance, each evolving and developing at different rates.

  9. METAFOR gap analysis • For the AR5 use case. • - Lessons learnt from AR5, both data providers and data users as well as the data collection agents • What level of quality control on metadata will be required for AR5 and how is this going to be managed? • Is the metadata going to be used for some element of quality control for the AR5 data? • What level of 3rd party involvement will be needed for the AR5 metadata, is it expected to be used by the impacts community?

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