Cloud microphysical and radiation properties using airborne cloud radarlidar

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Cloud microphysical and radiation properties
using airborne cloud radar/lidar
Cloudnet Meeting 27-28 May 2002

• Claire Tinel

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Scientific Objectives
To characterize the microphysical and radiative
properties of all types of clouds and their
interactions at high temporal resolution

• Cloud Formation / Evolution processes

• Validation / Improvement of cloud
  parameterization
• In models (structure, phase, microphysics)

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Ice or Mixed-phase Clouds Radar-Lidar
In-situ microphysics
Ka N01-b Zb ?c N01-d Kd Wp N01-q Kq
radar-lidar Algorithm
Inverse Model
Instrumental and Cloud Parameters Radar
attenuation K dB.km-1 Lidar extinction a km-1
Ice water content IWC g.m-3 Effective
radius re ?m Number concentration N0 m-4
Presentation Julien Delanoë
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Algorithmic models
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Blind Test
94-GHz reflectivity
Lidar backscatter coefficient
Synthetic profiles of 94-GHz radar reflectivity
and attenuated lidar backscatter coefficient
derived from in-situ microphysical measurements
(R. Hogan) (10 profiles 5 x 2 phase functions)
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Retrieved extinction coefficient (4 models)
? m-1
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Retrieved ice water content (4 models)
IWC g.m-3
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Retrieved effective radius (4 models)
Re µm
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Retrieved N0 (4 models)
log(N0)
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Retrieved phase function k
Models 3 and 4
Model 1
k sr
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Application to Carl 2000
Radar Rasta (3,2 mm)
Lidar Leandre (532 nm)
supercooled layer
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CARL 2000 models 2 (seg.) and 3 (seg. N0 var.)
Z dBZ
? km-1
?km-1.sr-1
?a km-1.sr-1
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CARL 2000 models 2 (seg.) and 3 (seg. N0 var.)
IWC g.m-3
Re ?m
Log10 N0
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Carl2000 in-situ data validation _at_ 4100m
Model 2 (N0 segmentation)
Model 3 (N0 variable)
Aircraft distance lt 4 km
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CLARE 98 (model 2)
IWC
a
re
Log N0
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Algorithm perspectives
In the framework of CLOUD-NET and the existing
datasets Radar-lidar algorithm
Simulations / Validation (under
process) Separation of water / ice in
mixed-phase clouds (under process) Semi-operatio
nal implementation for CLOUD-NET