GLM Detection Efficiency and Climatology Analysis

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Explore the detection efficiency and climatology analysis of GLM lightning data in comparison to other systems over an 8-month period. Detailed maps and charts illustrate the findings from Jan-Aug 2018.

  • Lightning Detection
  • GLM Analysis
  • Climatology Study
  • Lightning Mapping
  • Weather Systems

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Presentation Transcript


  1. Preliminary GLM Detection Efficiency and Climatology Monte Bateman GLM Cal/Val Team

  2. Sources Compare GLM against ENTLN + WWLLN and GLD360 Two systems whose domains most closely match the FOV of GLM

  3. Technique Calculate DE in 1 x 1 bins Over 8 months, Jan-Aug 2018 If a GLM flash is within 0.5s and a range of 50km of a gnd system detect, increment bin DE fraction = coinc / total Single number average DE over whole FOV

  4. Stoplight Chart: Color Code If > 0.7, green If >= 0.50, darkgreen If >= 0.25, light gray If > 0.0, dark gray If GLM detect with no gnd detect, yellow If gnd detect with no GLM, red

  5. DE Map, Jan 2018

  6. DE Map, Feb 2018

  7. DE Map, Mar 2018

  8. DE Map, Apr 2018

  9. DE Map, May 2018

  10. DE Map, Jun 2018

  11. DE Map, Jul 2018

  12. DE Map, Aug 2018

  13. DE Map, Jan-Aug 2018

  14. Climatology Jan-Aug 2018 GLM and ENTLN + WWLLN

  15. Climatology Jan-Aug 2018 GLM and GLD360

  16. DE Map, Jan-Aug 2018

  17. Avg DE Time Series, Jan-Aug 2018

  18. Summary GLM shows good DE everywhere except NW CONUS In NW CONUS, comparison with GLD360 seems more favorable than with ENTLN + WWLLN Over whole GLM FOV, DE > 0.70 every day this year Some days as high as 0.90

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