1. David N. Whiteman/NASA-GSFC, Belay Demoz/UMBC
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) Error characterization
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. As Distributed (2 min, 60-210 meters)
Night
Day
Water Vapor Mixing Ratio Precision (Dryline May 22, see Demoz et. al.)
Full Resolution (1 minute, 30 meters)
Less than 10% to beyond 2 km.
As Distributed (2 min, 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, (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. Example June 3-4 (See Koch et. al.)
Day
Night
Example June 3-4 (See Koch et. al.)
The full dataset
The June 4 bore

7. June 4, 2002 Bore SRL mixing ratio, FMCW backscatter

8. June 4, 2002 Bore SRL 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. June 19-20, 2002 Thunderstorm outflow case
Storm Motion
Anvil/Cirrus outflow
Density/Bore wave
Falling ice?
Wave propagation?
UT humidification

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

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