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NASA/GSFC Scanning Raman Lidar measurements of water vapor and clouds during IHOP

NASA/GSFC Scanning Raman Lidar measurements of water vapor and clouds during IHOP. David N. Whiteman/NASA-GSFC, Belay Demoz/UMBC Paolo Di Girolamo/Univ. of Basilicata, Igor Veselovskii, Joe Comer, Ruei-Fong Lin/UMBC, Gerry McIntire/Raytheon.

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NASA/GSFC Scanning Raman Lidar measurements of water vapor and clouds during IHOP

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  1. NASA/GSFC Scanning Raman Lidar measurements of water vapor and clouds during IHOP David N. Whiteman/NASA-GSFC, Belay Demoz/UMBC Paolo Di Girolamo/Univ. of Basilicata, Igor Veselovskii, Joe Comer, Ruei-Fong Lin/UMBC, Gerry McIntire/Raytheon Acknowledgement: Interdisciplinary Research, Jim Dodge, NASA/HQ

  2. Outline • Scanning Raman Lidar (SRL) • Extensive system modifications prior to IHOP • Error characterization • May 22 dryline event • Measurement example • June 3-4 bore • June 19-20 • Bore case • Cirrus cloud modeling study

  3. Scanning Raman Lidar • Telescopes: 0.76 and 0.25 m • Nd:YAG (9W @ 355 nm) • Windows • 12 channel AD/PC • IHOP Accomplishments • >200 hours • Factor of 10 increase in water vapor signal • High quality daytime measurements • Aerosol depolarization • Cirrus cloud studies • RR Temperature (DiGirolamo et. al.) • Demonstration of eye-safe concept • Liquid water • Cloud droplet retrieval studies

  4. Day Night Water Vapor Mixing Ratio Precision(Dryline May 22, 2002 - see Demoz et. al.) • Full Resolution (1 minute, 30 meters) • Less than 10% to beyond 2 km. • As Distributed (2 min, 60-210 meters) • day <10% in BL • night <2% in BL, <10% to 6km Measurement improvements permit convective processes to be studied throughout the diurnal cycle

  5. Raman Airborne Spectroscopic Lidar (RASL) • Recent ground-based measurements validate the RASL system modeling - Appl Opt., 40, No. 3, 375-390 (2001) • water vapor, aerosol backscatter/extinction/depolarization, cloud liquid water • 10 km flight altitude • 10 second nighttime, 2 minute daytime profiles • <10% random error throughout profile, <5% in BL

  6. Night Day Night The June 4 bore ExampleJune 3-4 (See Koch et. al.) The full dataset

  7. June 4, 2002 BoreSRL mixing ratio, FMCW backscatter

  8. June 4, 2002 BoreSRL mixing ratio, FMCW backscatter

  9. IHOP Analysis Update • Preliminary release of all priority water vapor data • Final release awaiting IHOP specific calibration • Data distributed to 6 km • Higher altitude data awaiting correction for temperature dependence of water vapor spectrum • Aerosol datasets require extra attention • Correction for finite filter width and temperature dependence of rotational Raman scattering • Depolarization calibration

  10. Anvil/Cirrus outflow UT humidification Falling ice? Wave propagation? Storm Motion Density/Bore wave June 19-20, 2002Thunderstorm outflow case

  11. Day Night Evidence of wave action in several locations June 19-20 Bore (See also Flamant et. al.)

  12. Upper Troposphere Humidification and Cirrus Cloud Evolution Theta Sequence of RH with respect to ice up to 12 km Cirrus evolution modeling case. Particle size and ice water content coming…

  13. Comparison of Measurements and Modeling Model inputs: theta, RHi, P, Size Distribution for each grid box and W (uniform vertical wind for the entire air column). Size and IWC estimates from lidar coming…

  14. Conclusions and the Future • Working hypothesis of waves on June 20 • Mechanical lift up to 6 km • Waves in cirrus clouds induced by shear • GLOW and SRL Scorer calculations • Continue cirrus cloud modeling comparison • Extend the time domain of the model • Couple 2-D cloud and mesoscale models • Seeding and source of wave energy for lower cirrus cloud layer • Simulate wave motion and study effects on microphysics • IHOP Data processing • Final release of water vapor data • IHOP specific water vapor calibration • Aerosol and liquid water analysis • SRL • Automated and eye-safe • Repackage in c-tainer

  15. Oscillations in the lower cirrus layer

  16. June 2-4 Clouds

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