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CF Unleashed: Introduction to Cf/Radial

CF Unleashed: Introduction to Cf/Radial. Joe VanAndel National Center for Atmospheric Research vanandel@ucar.edu 2013/1/8. 1. The National Center for Atmospheric Research is sponsored by the National Science Foundation. CF -What is it?. Climate and Forecast Metadata Convention

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CF Unleashed: Introduction to Cf/Radial

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  1. CF Unleashed:Introduction to Cf/Radial Joe VanAndel National Center for Atmospheric Research vanandel@ucar.edu 2013/1/8 1 The National Center for Atmospheric Research is sponsored by the National Science Foundation

  2. CF -What is it? • Climate and Forecast Metadata Convention • Locate data in space–time and as a function of other independent variables, to facilitate processing and graphics • for • model-generated data • observational datasets • originally no support for radial data 2

  3. Motivation • Support radar/lidar community • Provide better interoperability for data providers and tool creators • provide libraries and tools to • read/write datasets • convert from legacy formats • display radial data 3

  4. What is Cf/Radial? • CF extensions for radial radar/lidar data • CF compliant netCDF • netCDF is familiar to many scientists • CF allows assimilating data into forecast models • Details: http://www.ral.ucar.edu/projects/titan/docs/radial_formats 4

  5. What Kind of Instruments? • Scanning • Staring • Vertically Pointing • Mobile or Fixed 5

  6. Stationary Scanning 6

  7. Mobile/Scanning 7

  8. Airborne Scanning Radar 8

  9. Airborne Vertically Pointing 9

  10. Fixed, Staring Profilers 10

  11. Advantages • Readable on Linux, OS X, Windows • Supported by multiple languages: • C/C++ • Fortran • Python • IDL • Matlab 11

  12. Advantages (2) • Byte order independent • Efficient storage: • supports variable gates/beam • native compression 12

  13. Staggered 2-D Storage 13

  14. Transparent Compression • NetCDF4 uses HDF5 as storage layer • NetCDF4/HDF5 supports transparent compression • compressed files can be as small as 20% of the original size (data dependent) 14

  15. Sample Surveillance Data 15

  16. Range Height Radar Data 16

  17. Lidar Data 17

  18. Data Content Overview • data fields (moments) • each moment is a collection of “Rays” • each ray has range gates 18

  19. Metadata • each ray has metadata: • range • elevation • latitude • longitude • altitude • time 19

  20. Metadata(2) • Moving platforms: • heading • roll • pitch • rotation • tilt 20

  21. Coordinate Conventions • Fixed location • Mobile ground-based (truck mounted radars) • Airborne radars/lidars 21

  22. Current tools • Radx C++ library • Conversions: Read/Write • CfRadial • DORADE (legacy binary radar format) • Universal Format (UF) - very old binary format • NEXRAD level 2 archive • Foray1 (EOL netCDF) • SIGMET (writing is not supported) 22

  23. Future work (1) • Incorporating metadata from NODC netCDF templates • Incorporating metadata from NetCdf Attribute Convention for Data Discovery

  24. Future work (2) • convert SOLO (display/editing tool) to read/write CfRadial • Python libraries and tools • Matlab libraries • IDL libraries • Community archive of user contributed libraries and tools. 24

  25. Who is using CfRadial? • NCAR • UNIDATA • DOE/ARM • NOAA/NSSL • EEC (commercial radar vendor) • Pro Sensing (commercial radar vendor) • Various university users 25

  26. Conclusion • Want to encourage more users to adopt CfRadial • We welcome your ideas on how to publicize this format 26 NCAR is supported by the National Science Foundation.

  27. Acknowledgements Co-Authors: Mike Dixon Wen-Chau Lee Bob Rilling Chris Burghart 27

  28. Questions? ? ? ? 28

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