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Access to NCAR’s Historical Upper Air Archive By Joey Comeaux Steve Worley Bob Dattore

Access to NCAR’s Historical Upper Air Archive By Joey Comeaux Steve Worley Bob Dattore Will Spangler Dennis Joseph Roy Jenne DSS/CISL/NCAR AMS - 2010. Objective : Provide access to approximately 80 million upper air soundings archived in NCAR’s Research Data Archive (RDA).

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Access to NCAR’s Historical Upper Air Archive By Joey Comeaux Steve Worley Bob Dattore

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  1. Access to NCAR’s Historical Upper Air Archive By Joey Comeaux Steve Worley Bob Dattore Will Spangler Dennis Joseph Roy Jenne DSS/CISL/NCAR AMS - 2010

  2. Objective : Provide access to approximately 80 million upper air soundings archived in NCAR’s Research Data Archive (RDA)

  3. Content of Upper Air Archive

  4. Content of Upper Air Archive Global Coverage Plots : 1920-1980

  5. Global Coverage of Upper Air Archive Global Coverage of Upper Air Archive

  6. Global Coverage of Upper Air Archive

  7. Global Coverage of Upper Air Archive

  8. Global Coverage of Upper Air Archive

  9. Global Coverage of Upper Air Archive

  10. Global Coverage of Upper Air Archive

  11. Global Coverage of Upper Air Archive

  12. Global Coverage of Upper Air Archive

  13. Global Coverage of Upper Air Archive

  14. Global Coverage of Upper Air Archive

  15. Global Coverage of Upper Air Archive

  16. Global Coverage of Upper Air Archive

  17. Global Coverage of Upper Air Archive

  18. Foundation for Work • RDA U/A data  Several reanalysis projects • Data collected since 1960’s • Much data added in early 1990’s • Some systematic problems fixed

  19. Problems • Varying Units • Multiple Formats • Varying Station ID Metadata • Inconsistent QC • Duplicates • Intersource • Discovery

  20. GOALS • Provide an archive of U/A data that contains homogeneous units, format(s), station metadata and QC • Support usage of data in multiple ways • Output in synoptic or time series • Multiple discovery options • Access various sources and/or merged version • Support both research and reanalysis communities • Ability to track all reports • Easy to Update • New Data • Bias corrected data • Metadata

  21. TD53 TD52 USAF MIT NCEP ADP B3 TD54 Navy • Why Relational DB? • Data Management • Separate sources, yet together • Reproducibility • Tracking • Easily expandable • Users • Multiple access options • Synoptic or by TS • Domain, Region, Country… Relational Database

  22. Current DB Status • ✓Homogeneous units and format(s) • Support usage of data in multiple ways ✓Output in synoptic or time series ✓Multiple discovery options ✓Access various sources • ✓Ability to track allreports • ✓Easy to Update • New Data • ✓Prototype Interface

  23. http://dss.ucar.edu/datasets/ds370.0 • Temporal Range • ~ 1 month lag with real time • Only 2 source, no overlap 1973 2011-01-04

  24. http://dss.ucar.edu/datasets/ds370.0

  25. Request Sent -> You Receive • Email summary right away • Email with link to data when ready

  26. Data File • Single ASCII format • All Units Homogenized • Record and Version tracking

  27. Future Work • Improve Station Meta Data • Improve Interface • Improve QC • Coordination of Efforts with NCDC • Ingest New Sources • Bias Corrections • Include Aircraft Data • More Output Options • NetCDF

  28. Station Metadata Problems • Primarily focusing on IDs • Archive contains WMO, WBAN and other IDs • Multiple sources use varying WMO libraries • Not trivial to access full available POR for a station WMO IDs for Belfast Station Lat Lon 3917 54.65 353.78 3918 54.50 353.66 3920 54.48 353.90 Distance : 15-20KM

  29. WMO IDs for BELFAST

  30. WMO IDs for BELFAST

  31. Summary Where: Contact : joey@ucar.edu http://dss.ucar.edu/datasets/ds370.0

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