nisizawa_IGARSS_HSRL_FR2.T07.ppt
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Transcript of nisizawa_IGARSS_HSRL_FR2.T07.ppt
Nishizawa, T., N. Sugimoto, I Matsui, (National Institute for Environmental Studies (NIES), Japan)
IGARSS 2011, 29/Jul/2011
DUAL-WAVELENGTH HIGH-SPECTRAL-RESOLUTION LIDAR
FOR ADVANCED CLASSIFICATION AND RETRIEVAL OF AEROSOLS
FR2T07
NIES Lidar Network
20 observation sites in East-Asia using 2+1 Mie lidar 532nm attenuated Backscatter (532)
532nm total depolarization (532) 1064nm attenuated backscatter (1064)
Measured data
APD(1064nm)
PMTs(532nm)
2+1 Mie lidar
China
Japan
Thai
Mongol
Korea
NIES Lidar network
Lidar at “Hedo” site
The lidars measure aerosols (& clouds) 24-hour-automatically and we provide 2+1 data in semi-real-time (http://www-lidar.nies.go.jp/)
NIES Lidar Network
ObservationCompact 2 (532, 1064nm) + 1 (532nm) Mie lidar
with automatically measurement capability 20 sites ground based network observation in East Asia (2001~) Ship-borne measurements (1999~, vessel “MIRAI” (JAMSTEC))
[Sugimoto et al., 2001; 2005]Data analysis Classify aerosol components and Retrieve their extinctions at each layer
(assuming external mixture of each aerosol component) 1(532)+1 data Dust (nonSpherical) + non-Dust (Spherical)
[Sugimoto et al., 2003; Shimizu et al., 2004]
2 data Air-pollution aerosol*(Small) + Sea-salt or Dust(Large)[Nishizawa et al., 2007; 2008]
2+1 data Air-pollution aerosol* (Spherical / Small) + Sea-salt (Spherical / Large) +Dust (nonSpherical / Large) [Nishizawa et al., 2010]
Polarization
Spectral
Polarization + Spectral
*Air-pollution aerosol is defined as mixture of Sulfate, Nitrate, Organic carbon, and Black carbon
NIES Lidar Network EvolutionIndependent extinction measurement (i.e., HSRL and Raman lidar) is useful
to classify weak/strong light absorption particles [Nishizawa et al., 2008]
Data analysisCombined use of HSRL(532) and 2(532,1064) Mie lidar
1α+2 data SF-NT-OC (Weak / Small) + BC (Strong / Small) +Dust (Weak / Large) [Nishizawa et al., 2008]
Ground-based network measurement 2+1 Mie lidar + 1α N2 Raman (607) channel
with automatically measurement capability [1α+2+1 lidar](6 sites in the NIES Lidar Network) [Xie et al., 2008]
Dual wavelength (355, 532nm) HSRL + 1(1064)+2(1064,532) Mie lidar with automatically measurement capability [2α+3+2 lidar](under development) [Nishizawa et al., 2008,2010]
Light absorption+ Spectral
HSRL techniques
Narrow-band filter
Narrow-band laser: injection-seeded, Nd:YAG laser (1064, 532, 355nm)
Iodine filter (532nm)[Liu et al. 1999]
λ
Etalon (355nm)[Imaki et al. 2005]
Backscattered light spectrum
ParticleMolecule
(Doppler broadening)
λ
2+3+2 HSRL systemWhole picture
Laser
532nm HSRL + 1064nm receiver
Iodine filter
APD(1064nm)
PMT(532nm)
355nm HSRL receiver
EtalonPMT(355nm)
Container
Transmitter
Laser type Nd:YAG, Q-switched, injection-seeded, linearly polarized (Continuum Surelite I)
Wavelength 1064, 532, 355nm
Line width 0.005 cm-1
Pulse energy 100mJ (for each wavelengths)
Repetition rate
10Hz
Divergence 0.1mrad (using a 5x expander)
Receiver
Telescope Cassegrain, D=21cm, F=2.63m
FOV 0.5mrad
Detectors Licel APD for 1064nmLicel PMT for 532, 355nmLicel PMT for 387nm (N2 Raman channel)
Wavelength separators
Optical filter 1nm-FWHM interference filter for each wavelength
532nm HSRL 40cm iodine cell (Rayleigh)
355nm HSRL Fabry-Perot etalon (Finesse=10, FSR=5GHz) (Mie)
Data acquisition
Analog measurement for 1064, 532, 355nm (25MHz, 12bit A/D)Photon counting measurement for 387nm (40MHz, 12bit)
Iodine filter
355nm
532nm1064nm
Laser
Tel
esco
pe
Etalon
To realize automatically, long-term continuous network measurement…..
Automatically tune Laser wavelength to Iodine absorption wavelength,and Automatically tune etalon transmittance wavelength to the tuned
laser wavelength
Tu
ne th
e wavelen
gth
sAutomatically wavelength tuning system
Laser wavelength tuning system
LaserPinhole
PC ADC
Photodiode
AOM
AOM
I2cell(L=10cm)
NDFilter
Wavelength shift [pm]
Tra
nsm
ittan
ce
Pinhole
AOM
I2 cell
Photodiode
Measured Iodine absorption spectrumλo+δλ
λo−δλ
Ratio of P(λo+δλ) to P(λo−δλ)
Center wavelength of Iodine absorption line used in this study ( line number:1111 )
Etalon wavelength tuning system I
Etalon
1m(Focused light dia. =
4mm)
PM
T355,M
ie,ch1
PMT355,Mie,ch2Pinhole mirror(Pinhole dia. = 3mm)
Lens
Finness = 10FSR = 5GHz
Simulated interference fringes
P=+1.6hPa
P=-1.6hPaP=-3.2hPa
P=+3.2hPa
Measured signalsSimulated signals
Maximum transmittance for Mie scatter
Example of observation and analysisHalf day measurement (17LT Aug. 20 ~ 9LT Aug. 21)
at Tsukuba (140.12E, 36.05N), JapanMeasured signals
P532,Mie+Ray
P1064
δ532
Derived particle opt. prop.
Backscatter [/km/sr]
Extinction [/km]
Extinction / Backscatter [sr]
Particle depolarization ratio
Cloud
P532,Ray
S : ~20sr for water-clouds, 30~80sr for aerosols
532
53 210
64
532
Algorithm using 2+3+2 data
Sea-salt
Dust
[Depolarization]
SF-NT-OC
[Bac
ksca
tter
]
[Exti
nctio
n]
BC
355
1064355
● Extinction coefficients for 4 aerosol components at each layer● Mode radii for 3 aerosol components at each layer
(SF-NT-OC, sea-salt, dust)
Assumption:●External mixture of 4 components●Lognormal size distribution●Fix refractive index●Spheroid for dust
Conclusions and future plans● We constructed 532/355nm dual-wavelength HSRL system (2+3+2 Mie-HSRL lidar) and developed automatically wavelength tuning system.=> We conduct continuous measurement by the developed HSRL system=> We conduct more advanced aerosol component classification analysis.
● We are currently constructing 1+2+2 Mie-HSRL lidar for shipborn measurement, applying the developed laser wavelength tuning system to this
lidar.
Optical/microphysical data provided from these observations and aerosol component analysis are useful for validation of satellite measurements and numerical models and assimilation of numerical models, improving our understandings about impacts of aerosols and clouds in global and regional scales.
This work was supported by “Environment Technology Development Fund by the Ministry of the Environment Japan’’ B-0803.
Acknowledgements