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Radar-lidar synergy for the retrieval of water cloud parameters

Radar-lidar synergy for the retrieval of water cloud parameters. Herman Russchenberg, Oleg Krasnov. International Research Centre for Telecommunication and Radar. radar. radiometry. lidar. Ground based observations. Are power laws useful?. Dropsize distribution.

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Radar-lidar synergy for the retrieval of water cloud parameters

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  1. Radar-lidar synergy for the retrieval of water cloud parameters Herman Russchenberg, Oleg Krasnov International Research Centre for Telecommunication and Radar

  2. radar radiometry lidar Ground based observations

  3. Are power laws useful? Dropsize distribution Very sensitive to tail of dsd

  4. Common opinion: No, there is too much scatter due to drizzle unless we can identify the drizzle droplets somehow...

  5. drizzle “transition” drizzle A million droplets of 10 micron give the same radar reflection as one droplet of 100 micron! A million droplets of 10 micron contain a thousand times as much water as one one droplet of 100 micron... And so: one drizzle droplet changes the reflectivity significantly without changing the liquid water content non-drizzling

  6. Radar reflection Drizzling Non-drizzling Coarse classification

  7. Radar and lidar observables in relation to microphysics of water clouds Radar-lidar ratio vs effective radius Radar reflectivity vs liquid water content

  8. Example:June 19, 2003, Chilbolton

  9. 65.0 % 27.1 % 7.9 % Statistics of cloud types, Cabauw

  10. 61.4 % 29.3 % 9.3 % Statistics of cloud types, Chilbolton

  11. 63.5 % 27.8 % 8.7 % Statistics of cloud types, Palaiseau

  12. -20 dBZ -35 dBZ 63.5 % 8.7 % 27.8 % Statistics of cloud types, all sites

  13. Climatology or calibration? Site-specific thresholds Averaged CloudNet thresholds

  14. The difference between the radar/lidar LWP retrievals and microwave radiometer After filtration out values of both LWP > 400 g/m^2

  15. The comparative statistic for the Cloudnet LWP datasets

  16. observations

  17. The difference between the Radar/lidar retrievals and ECMWF NWPM LWP After filtration out values of both LWP > 400 g/m^2

  18. Outlook • Refine statistics • Refine thresholds • Application to ARM data • Apply to CloudSat – Calipso • Combine with IPT

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