Expanding users’ analysis capabilities with the CMIP Analysis Platform at NCAR

Date and Time: 
Tuesday, April 5th, 2016
Center Green
Dave Hart

Most academic researchers do not have the resources to download, store, and analyze large portions (often tens or hundreds of terabytes) of the 2 PB of data published worldwide from the Coupled Model Intercomparison Project Phase 5 (CMIP5). This limitation will be exacerbated in Phase 6, with data volumes expected to be 10 or 20 times larger. For CMIP6, NCAR alone is projecting the creation of 5 PB of data or more. Even large organizations cannot obtain and curate all of the CMIP holdings, and even if they could, making many copies of the entire CMIP archive would represent a huge duplication of effort and resources. If the barriers to accessing and analyzing CMIP data are not addressed, the US academic community will be left further behind in their ability to do climate change research. To address these barriers, NCAR has created a CMIP Analysis Platform to support analyses on a “lending library” of CMIP5 data. The CMIP Analysis Platform will integrate published CMIP5 data and a suite of human and software support services overlaid on NCAR’s operational analysis and disk storage environment.

Speaker Description: 

David Hart is manager of CISL's User Services Section, where he handles allocations for CISL's high-performance computing systems and oversees the CISL Help Desk and Consulting Services Group. Prior to arriving at NCAR in 2010, David worked for 15 years at the San Diego Supercomputer Center (SDSC) at the University of California, San Diego, in a variety of roles and leadership positions, including allocations, user support, and communications. During his time at SDSC, he also held a number of leadership positions in the TeraGrid program and continues to be involved with the XSEDE program. His professional and research interests include metrics for measuring the performance and impact of cyberinfrastructure systems and activities.

PDF icon CMIP_Analysis_Platform_SEA2016.pdf1.23 MB

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