Multiwavelength aerosol lidar and vertical-wind lidar observations during COPS Dietrich Althausen,...
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Transcript of Multiwavelength aerosol lidar and vertical-wind lidar observations during COPS Dietrich Althausen,...
Multiwavelength aerosol lidar and vertical-wind lidar observations during COPS
Dietrich Althausen, Detlef Müller, Ronny Engelmann, Matthias Tesche, Patric Seifert, Julia Fruntke, Christina Herold, Luise Hentschel, (Albert Ansmann)
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Aerosol and vertical–velocity profiling and cloud glaciation observations during COPSApplicant: Albert Ansmann
Contribution to ACM and SPP 1167 (2 year period)
• Aerosol characterization • Obtaining geometrical, optical, and microphysical properties of aerosols and clouds Derivation of microphysical properties such as aerosol number
concentration
• Vertical Wind in the upper PBL (at cloud base)
• Studies of heterogeneous ice formation • Investigating the effect of aerosol particles and meteorological conditions on cloud glaciation Many Saharan dust cases and forest fire cases observed
DF
G p
ropo
sal
3 months of data, 400-500 hours
Backscatter Extinction lidar-Ratio Temperature Humditiy profiling Apparatus
Wind Lidar
0
1000
2000
3000
4000
0 2 4 6 8 10
355 nm 400 nm 532 nm 710 nm 800 nm 1064 nm
BACKSC. COEF. (Mm-1 sr-1)
HE
IGH
T (
m)
0 200 400 600 800
25 MARCH 1999: Optical Parameters mean of 3600 s, 1330 - 1500 UTC
EXTINCTION COEF. (Mm-1)
355 nm 532 nm
INDOEX,Maldives1999-2000
SAMUM I, Morocco, May-Jun 2006COPS, Black F., Jun-Aug 2007SAMUM II, Cape Verde, Jan/Feb+May/Jun 2008
6 x beta 2 x sigma
Inversion algorithm
Input: – 6 backscatter coefficients – 2 extinction coefficients
Output:– volume size distribution– effective radius– total volume concentration– total surface-area concentration– mean complex refractive index– single-scattering albedo
COPS: β(532nm) ~ n (particle number conc.)
VALIDATION OF INVERSION RESULTS WITH AIRBORNE IN-SITU MEASUREMENTS
LACE 98: Biomass Burning From NW CanadaMeasurement : 9 August 1998
3500-4000 m 3400-3900 m inversion in-situ
IfT IMP (r > 50 nm)
eff. radius ( m)
v ( m /cm ) 3 3
s ( m /cm ) 2 3
n (1/cm ) 3
real part
imag.
single-scat.albedo (532nm)
part
0.27
13
142
295
1 .62
0 .047
0 .81
0 .04
2
7
64
0 .08
0 .013
0 .03
0.24
11
136
506
1 .66
0 .79
0 .053
0 .01
1
5
131
0 .02
0 .01
0.004
0 .25 0 .07
8 5
95 55
271 74
(1.56)
(0.07)
0.79 0 .02
9 August 1998, 2200-2400 U TC
COPS: we may only get the order of magnitude of the particle number conc. (100 cm-3, 1000 cm-3, 10000 cm-3)
DLR Falcon
Aerosol type: finger prints
Aerosol type Lidar ratio (sr) Depol. ratio (%) Maritime S355=S532 (low) <5% (low)
Urban S355>=S532 (high) <5% (low) Forest fire smoke S355<S532 (high) <10-15% (med) Desert Dust S355>=S532 (high) 25-35% (high)
355 nm versus 532 nm
COPS: Some measurement examples
PBL+CU
Vertical wind
P B L d e v e l o p m e n t
in terms of vertical wind
profile of horiz. wind speed and direction
Deep cumulus tower
Spectacular event
Heterogenous ice formation
melting layer
uncalibrated depol. ratio (710nm)
AC
ICE
terminal velocities
CI
Bertha + Wili
Topic 1 Topic 2PBL heterog. ice form.
Influence of Saharan dust and biomass burning smoke on cloud glaciationover the northern tropical Atlantic Ocean (Cape Verde) during SAMUM II
Published February 2008
SAMUM II: 15 Jan – 14 Feb 2008, Praia, Cabo Verde (15oN, 23.5oW)
Our work on heterogenous ice formation
…upcoming
Next future (beginning in March 2008):
Diploma student working on WiLi data (wind fields)
Diploma student working on Raman lidar data(water vapor and temperature)
BERTHA, Heselbach, 532nm backscatter signal
PBL, sunny day dust
BERTHA, water vapor Raman lidar, Heselbach
SONDE
LIDAR, 20 min, 60m smoothing LIDAR, 1 min, 240 m smoothing
LIDAR
LIDAR
532 nm backscatter signal
g/kg
COPS:
Bertha(Raman lidar)
water vapor
nighttime,
1 min res.,60 m height res.