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Legacy Data Rescue for Climate Science Research

The 2011 EOL Science Review Team Report highlights the importance of digitizing historical field data stored in outdated formats for long-term research. Prioritize easy access to current and past field data for climate science. Learn from previous data lessons for processing observational and model data with metadata and quality control parameters. Implement legacy data activities including rescuing data, project documentation, digitization, and media format migration. Two pilot projects, Sounding Legacy Project and T-28 Facility Archive, reflect a step towards preserving invaluable climate research data from 1974.

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Legacy Data Rescue for Climate Science Research

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  1. Legacy Data

  2. From the 2011 EOL Science Review Team Report “The EOL effort to rescue and digitally archive historical field data that are presently stored in older paper, chart, and tape formats will be an extremely valuable information asset for research requiring long-term records.” “Continue progress toward and maintain a priority for making current and historical field data easily accessible”

  3. Climate Science 1.0: Observational data is very similar to model data (2003!) Data Lessons Learned Engineering Units Metadata QC Parameter Metadata QC Derived Parameter Metadata QC Obs data Integrated Parameter Climate Science 2.0: Observational data is very different from model data Value Model data Time

  4. Legacy Data Activities, 1st proposed in Spring 2010 (FY11 Annual Budget Review) • Data and Metadata Rescue • Project Documentation • Collect, digitize and webify • Improve documentation • Digitize Aircraft Videos • Media and Format Migration • (e.g. GENPro to NetCDF) • NCAR Iron Mountain Archives • Embarked on two pilot projects: • Sounding Legacy Project (CSU) • T-28 Facility Archive (SDSMT) 1974

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