determination of aerosol components from multiwavelength/depolarization measurements
DESCRIPTION
GALION WS, 20-23 Sep 2010, Geneva. Determination of aerosol components from multiwavelength/depolarization measurements. Nobuo SUGIMOTO, Tomoaki Nishizawa, and Atsushi Shimizu National Institute for Environmental Studies [email protected]. Which parameter shall we compare with models?. - PowerPoint PPT PresentationTRANSCRIPT
Determination of aerosol components from multiwavelength/depolarization
measurements
Nobuo SUGIMOTO,Tomoaki Nishizawa, and Atsushi Shimizu
National Institute for Environmental [email protected]
GALION WS, 20-23 Sep 2010, Geneva
Lidar
Chemical Transport Model
signal intensity (depolarization)
Which parameter shall we compare with models?
dust extinction coefficient
extinction coefficient
dust density
S1
assumption on external mixing
mass/extinctionconversion factor
distribution and characteristics of other aerosols
optical characteristics of dust
Method for estimating contributions of dust and air pollution
€
R=δ2'+δa(1−δ2')(δ2'−δ1')(δa+1)=(δa−δ2)(1+δ1)(1+δa)(δ1−δ2)
The mixing ratio of dust, R, can be estimated from the observed aerosol depolarization ratio, a.
where 1 and 2 are depolarization ratio of dust and other aerosols. We used 1~0.35 and 2~0.05 empirically determined from the histogram of observed aerosol depolarization ratio.
[Sugimote et al. 2003; Shimizu et al. 2004]
Dust
Spherical aerosols
March 21-31, 2004 Beijing
Method for estimating the extinction coefficients of dust and spherical aerosols using the depolarization ratio
Dust
Air pollution
Lidar dust and spherical extinction coefficients & OPC
0.3-1 m1-22-33-44-5> 5
OPC data
Volume concentrationSize
http://sprintars.riam.kyushu-u.ac.jp/indexe.html
BC, OM, sulfate, sea salt, soil dust
Development of data analysis methods
1β+1δ method to estimate dust and spherical aerosols (Sugimoto et al., 2003; Shimizu et al., 2004)
2β+1δ(switch) method to estimate dust (or sea-salt) and water soluble* (Nishizawa et al., 2007)
2β+1δ method (using spheroid model) to estimate dust, sea-salt and water soluble (Nishizawa et al.)
1α+2β+1δ(switch) method to estimate (dust or sea-salt), water soluble and black carbon (Nishizawa et al., 2008)
1α+2β+1δ to estimate dust, water soluble, black carbon or sea-salt (for EarthCARE ATLID, Nishizawa et al.)
2α+3β+2δ method to estimate dust, sea-salt, water soluble, black carbon and particle size of water soluble (being developed)
*Water-soluble aerosol: a mixture of sulfate, nitrate, and organic carbon
The algorithm consider external mixing of aerosol components and prescribe the optical properties for each component
NIES aerosol classification algorithms using 2+1 Mie lidar
532,||
532,
Spherical
DS
Spherical + DustSugimoto et al. [2003]
1 + 1
532
1064
SSWS
DS
2
Water-soluble + Dust (>0.1)or
Water-soluble + Sea-salt (<0.1)Nishizawa et al. [2007]
WS: water-soluble particlesSS: Sea-saltDS: Dust
532,||
1064
532,
SSWS
DS
Water-soluble + Dust + Sea-salt
WS: water-soluble particlesSS: Sea-saltDS: Dust
WS SS DS
rm 0.13 3.0 2.0
S 55 20 48
0 0 0.3
Assumptions・ Log-normal size distribution・ Mode radius, standard deviation, refractive indexes are prescribed・ Spheroid particles for dust
2+1 algorithm
Spheroid model
Axis Ratio = a/b
ab
Lidar ratio
[Mishchenko et al. 1997]
Depolarization ratio
€
λ = Cλ (r,ε,m)dV (r)
d ln r
dn(ε)
d lnεr
∫ d ln rd lnεε
∫
[Dubovik et al. 2006]
1 + 2 algorithm
532
532
1064
BC
WS
DS
Water-soluble + Dust + BC
1(532) + 2(532,1064)
rm
[um]
m (532nm) S (532nm)
[sr]
WS 0.18 1.44 3×10-3i 58
DS 3.0 1.53 6×10-3i 50
BC 0.05 1.75 0.4i 101
Assumptions・ Log-normal size distribution・ Mode radius, standard deviation, refractive indexes are prescribed
Set S=50sr to consider the non-sphericity of dust
Comparison with Skyradiometer
2
Water-soluble
Dust
Sea-salt
Total
AOT (532) Angstrom
60% overestimation
Water-soluble
Dust
Sea-salt
Total
AOT (532) Angstrom
Agreement within 5%
2+1
Algorithm for ATLID
*Water-soluble aerosol: a mixture of sulfate, nitrate, and organic carbon
The algorithm consider external mixing of aerosol componentsand prescribe the optical properties for each component
1+1+ 1 algorithm: Absorption + Depolarization Water-soluble* + Dust + Black carbon Water-soluble* + Dust + Sea-salt
Depolarization / absorption
properties
NIES 1 + 1 + 1 algorithm
Over Land
355
355,||
355,
BCWS
DS
Water-soluble + Dust + Black carbon
Over Sea
355
355,||
355,
SS
WS
DS
Water-soluble + Dust + Sea-salt
S < Sth
S > Sth
1+2 algorithmWater-soluble
Dust
Soot
Demonstration of 1 + 1 + 1 algorithm
Water-soluble
Dust
Soot
1+1+1 algorithm
• 1(532)+2(532,1064)+1(532) data measured with HSRL and MSL on Apr. 8 2005
were used in the analysis. • The aerosol properties at 532 nm used in 2+1 algorithm were used in the analysis using 1+1+1 algorithm