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Lidar investigations of Lidar investigations of aerosol and cloud fields aerosol and cloud fields in the troposphere using in the troposphere using the LOSA the LOSA-
- S lidar
Lidar investigations of Lidar investigations of aerosol and cloud - - PowerPoint PPT Presentation
Lidar investigations of Lidar investigations of aerosol and cloud - - PowerPoint PPT Presentation
Lidar investigations of Lidar investigations of aerosol and cloud fields aerosol and cloud fields in the troposphere using in the troposphere using the LOSA- -S lidar S lidar the LOSA Balin Yu.S Yu.S., ., Kaul Kaul B.V., B.V.,
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Lidar Lidar networks at the Eurasian networks at the Eurasian continent continent
CIS-LiNet stations:
- Stationary lidar stations in Minsk, Moscow, Surgut, Tomsk, Vladivostok
- Alpine stationary lidar station in Teplokluchenka in Central Asia, Kyrgyz Republic
- Seasonal lidar station on the base of a mobile lidar at the Lake Baikal
- Shipboard lidar in Vladivostok
CIS CIS-
- LiNet
LiNet AD AD-
- Net
Net EARLINET EARLINET
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LOSA LOSA-
- S
S
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Lidar Lidar “ “LOSA LOSA-
- S
S” ”
Optical diagram of lidar Optical diagram of lidar . .
The peculiarity of the optical The peculiarity of the optical diagram of the lidar is that all lidar diagram of the lidar is that all lidar signals pass through the same signals pass through the same
- ptical path and have the same
- ptical path and have the same
geometrical function. geometrical function.
Optical & Particle Optical & Particle Parameters Parameters
- Mean radius (0.1~1 m
Mean radius (0.1~1 m-
- 6)
6)
- Number concentration
Number concentration (100 (100-
- 1000 cm
1000 cm-
- 3)
3)
- Volume concentration
Volume concentration
- Backscatter 355/532/1064
Backscatter 355/532/1064
- Extinction 355/532
Extinction 355/532
- Lidar ratio 355/532
Lidar ratio 355/532
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1 2 3 4 5 2 4 6
Mixing Ratio, g/kg Height, km
LOSA-S (407nm/387nm, 13.11.06, 20:28) Meteo (Novosibirsk, 12.11.06, 12:00)
Lidar signals at daytime and nighttime.
Raman and Analog Signals Analog Signals
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Aerosol upward transportation Aerosol upward transportation June 19, 2004 June 19, 2004
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Aerosol upward transportation Aerosol upward transportation June 16, 2005 June 16, 2005
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Daily dynamic of the boundary layer Daily dynamic of the boundary layer
08:00
10:00 13:00 17:00 21:00
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Aerosol profiles Aerosol profiles
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Season dynamic of the boundary Season dynamic of the boundary layer layer
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TERRA TERRA-
- MODIS Composite
MODIS Composite Images Images
Томск Томск Томск
HYSPLIT Back Trajectories HYSPLIT Back Trajectories
MODIS_060714_0715UTC MODIS_060719_0715UTC MODIS_060721_0715UTC
Fires and smoke in Siberia (July 2006 ) Fires and smoke in Siberia (July 2006 )
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CALIPSO Browse Images CALIPSO Browse Images
- CALIPSO - Cloud-Aerosol Lidar and Infrared Pathfinder
Satellite Observations (NASA/ CNE S): 28-04-2006 -
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2006-07-17 21:10:54 2006-07-19 20:58:30 2006-07-21 20:02:53
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AERONET Aerosol Optical Thickness
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BackScattering BackScattering AOT Extinction AOT Extinction
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Height , km Lidar Ratio, sr Aerosol backscatter coefficient, m-1sr-1 Рис. Динамика изменения аэрозольной структуры тропосферы в период Сибирских лесных пожаров над г.Томском в июле 2006 года.
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Backscattering phase matrix Backscattering phase matrix
- f cirrus clouds
- f cirrus clouds
Experimentally obtained reduced aerosol backscattering matrix
B.V.Kaul, S.N.Volkov, I.V.Samokhvalov.
- Atmos. Ocean Opt., v. 16, 325-332 (2003)
<a12> = -0.22 <a14> = 0±0.04
|| 12 22
2 1 1 I I I a a D + = + − =
⊥ ⊥
depolarization ratio
ϕ 2 cos
12 12
a a ′ =
Stokes vector
a12 depends on the lidar reference plane
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M M44
44 distribution in cirrus clouds
distribution in cirrus clouds
weakly expressed
- rientation
pronounced horizontal orientation
S.N.Volkov, B.V.Kaul, I.V.Samokhvalov.
- Atmos. Ocean Opt., v. 18, 91-95 (2005)
Particle orientation due to aerodynamic forces
M44 M44
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Polarization attachment for LOZA Polarization attachment for LOZA-
- S
S
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M M44
44 sensing with the circularly
sensing with the circularly polarized radiation polarized radiation
( ) ( )
11 12 13 1 4 21 22 23 24 11 14 41 4 4 31 32 33 3 4 41 42 43 44 11 12 13 1 4 21 22 23 2 4 11 14 4 1 31 32 33 3 4 41 42 43 4 4
1 1 1 0 0 1 2 1 1 1 1 0 0 1 2 1
x y
M M M M M M M M I M M M M M M M M M M M M M M M M M M M M I M M M M M M M M M M M = − = + − − = = + + +
4 4
M 44 14 14
1
x y x y
I I m m I I m − + = − + +
<a14> = 0±0.04 Wollaston + λ/ 4
λ/ 4
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Cirrus clouds Cirrus clouds
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