gerd-jan van zadelhoff & dave donovan comparing ice-cloud microphysical properties using...

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Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data.

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Page 1: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

Gerd-Jan van Zadelhoff

&

Dave Donovan

Comparing ice-cloud microphysical properties using

Cloudnet & ARM data.

Page 2: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

2 sites: coastal Europe, 1 site: Southern great plains; USA

GOAL :Compare and evaluate microphysical cloud properties at 3 sites

1. Cabauw:

• ECMWF data (T & P)

• 35 GHz Radar

2. Chilbolton:

• ECMWF data (T & P)

• 94 GHz Radar (Galileo)

• 905 nm CT-75 Ceilometer

3. ARM:

• Sonde data (T & P)

• 35 GHz Radar

• 532 nm Micro Pulse Lidar (MPL)

• 905 nm CT-75 Ceilometer

Site Instrument Period

Oct 2001 – March 2002

Oct 2001 – June 2003

Due to problems with Galileo only Z> -20 dB is used

Nov/Dec 1996 June 1997

Jan & July 2000

Page 3: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

Selection of cloud typed

1. Ice clouds2. Visible in both Lidar and Radar

• T < -2 oC• Radar and Lidar top of cloud are roughly the same.• Ice-clouds are optically thin.

Par

ticl

e si

zes

(R’e

ff)

Only Lidar

Both Radar and Lidar Only Radar

24-05-200211-03-2002

Page 4: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

Selection of cloud typed

1. Ice clouds2. Visible in both Lidar and Radar

• T < -2 oC• Radar and Lidar top of cloud are roughly the same.• Ice-clouds are optically thin.

Par

ticl

e si

zes

(R’e

ff)

EXCLUDEDINCLUDED

Page 5: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

(11 year mean of the month June, HIRS data NOAA)Wylie & Menzel (1998)

High Cloud Statistics:Frequency of cumulated IR transmissive clouds above 4 km.

Page 6: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

Comparing vertical cloud statistics at the three sites.

Observed low clouds

ARM

Cabauw

Chilbolton

Shown is the normalized cloud height distribution FOR EACH cloud pixel detected

Page 7: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

Example for an ice-cloud measured at Cabauw.

4 eeff αZR'

shape-

n orientatioRR'

dist. size -

- effeff

Page 8: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

How to deal with the observed cloudsDefine the regions wherein 10, 30, 60, 90 and 99 % of all observed values reside

Calculate the mean in each x-bin (T) and the of the distribution

Plot for every cloud pixel the appropriate values (T vs R’eff)

Page 9: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

ARM vs CABAUW

vs. Z

Doppler velocity vs. R’eff

R’eff vs. T

IWC’ vs Z

Page 10: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

Depth from top of cloud vs. SizeIWC’

distribution

Height vs. Size

ARM vs CABAUW

Height vs.particle size

Reff vs T(complex poly-crystals)

Page 11: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

Need to use data with Z > -20 dBz for comparison withThe GALILEO radar in the 2001-2002 period.

Dependence of the retrieved particle sizes on Z.

Height dist. of the probed clouds(with lower limit to used Z data)

Particle size versus Temperature(with lower limit to used Z data)

Page 12: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

Z > -20 dB

-Cabauw

-ARM

-Chilbolton Depth from top of cloud vs. Size

IWC vs. Z(complex poly-crystals)

Height vs.particle size

R’eff vs. T

Page 13: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

Seasonal influences on the low optical depth ice clouds

WINTERSPRINGSUMMERAUTUMN

HEIGHTR’eff

HEIGHT

Log10(IWC’)

R’eff

Bottom row: ARM

Top row: Cabauw

Log10(IWC’)

Page 14: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

CONCLUSIONS

4. The cabauw site shows no seasonal dependence for the low optical depth ice-clouds studied here. The ARM site shows a small dependence.

1. Cabauw & Chilbolton show very similar results (for Z > -20 dBz)

2. Derived parameter relations depend strongly on the lowest value of Z for Z > -30 dBz

3. The ARM site has higher and thicker ice-clouds the latter results in a larger particle size distribution.

Page 15: Gerd-Jan van Zadelhoff & Dave Donovan Comparing ice-cloud microphysical properties using Cloudnet & ARM data

THANKS DAVE !!!

For questions or comments: ask Dave or contact me: [email protected]

THE END !