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New Developments in AERONET aerosol retrievals

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Inversion of combined AERONET/satellite observations. Oleg Dubovik (Code 614.4) ... any measurements geometry (almucantar, principle plane, etc. ... – PowerPoint PPT presentation

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Title: New Developments in AERONET aerosol retrievals


1
New Developments in AERONET aerosol retrievals
Oleg Dubovik (Code 614.4)
  • Outlines
  • Improving operational retrieval software
  • Aerosol particle non-sphericity
  • Inversion of combined AERONET/satellite
    observations

2
INPUT of Forward Model
Aerosol characterization form AERONET retrievals
Complex Refractive Index at l 0.44 0.67
0.87 1.02 mm
Particle Size Distribution 0.05 mm R (22 bins)
15 mm










Desert Dust
Maritime
Smoke
3
AERONET Inversion 2
  • Flexibility and refinements of the algorithm
  • - any number of spectral channel (from 0.34
    to 1.64 mm)
  • - any measurements geometry (almucantar,
    principle plane, etc.)
  • - dynamic error estimates for all retrieval
    products
  • - improved assumptions about surface
    reflectance (Moody et al. 2005)
  • - utilizing measurements of polarization
    (not operational yet)
  • New products from retrievals
  • - particle non-sphericity
  • - direct aerosol radiative forcing
    computations
  • - degree of polarization, phase function,
    etc.
  • New concepts in the retrieval
  • - non-spherical aerosols
  • - using co-incident satellite observations in
    the retrievals

4
AERONET model of aerosol
AERONET model of aerosol
spherical
Randomly oriented spheroids (Mishchenko et al.,
1997)
5
Single Scattering using spheroids
spheroid kernels data basefor operational
modeling !!!
Input wp (Np 11), V(ri) (Ni 22 -26)
K - pre-computed kernel matrices Input n and k
  • Basic Model by Mishchenko et al. 1997
  • randomly oriented homogeneous spheroids
  • w(e) - size independent shape distribution

Time lt one sec. Accuracy lt 1-3 Range of
applicability 0.15 2pr/l 280 (26 bins) 0.4
e 2.4 (11 bins) 1.33 n 1.6 0.0005 k 0.5
Output t(l), w0(l), F11(Q), F12(Q),F22(Q), F33(Q
),F34(Q),F44(Q)
6
NEW CONCEPT - retrieving degree of non-sphericity
as an additional parameter
The retrieval is possible for aerosols with
pronounced coarse fraction, i. e. desert dust and
maritime (a lt 1.2)
Retrieved aspect ratio
Non- spheres
spheres
7
AERONET-MSP(multispectral polarization)
  • Spectral Percent linear Polarization hourly
  • Standard Products
  • L(nm) 340, 380, 440, 500, 675, 870, 940, 1020,
    1640
  • AERONET testing (Feb. to May 2006)
  • Operational products June 2006

Dual filter wheel, top for polarizers bottom for
IAD filters
B.N. Holben
8
Sensitivity of polarization to particle shape
Coarse aerosol
-P12(Q)/P11 (Q)
-P12(Q)/P11 (Q)
9
e(spheroids) 5 e(spheres) 10
e(spheroids) lt 0.01 e(spheres) 0.05
10
Simultaneous Inversion of intensity and
Polarization measured in principle plane at 5
channels (0.44 0.5 067 0.87 1.02)
Maarco, August 8, 2004
11
Combining of observations satellite,
ground-based and aircraft
CALIPSO
CALIPSO
Retrieved
  • AEROSOL
  • Size Distribution
  • - Real Refractive Index
  • Absorption
  • Vertical variability

concentration
size
altitude
concentration
  • SURFACE
  • Albedo
  • - Bi-directional reflectance

LIDAR
LIDAR
12
Simultaneous fitting
August 9, 2003 t(0.44) 0.3
AERONET
MISR-MODIS
MODIS
13
Comparisons of Surface Retrievals (with improved
vertical profile)
Surface Albedo
Surface BRDF
14
Surface Effect on Retrievals of the fine mode
aerosols (low aerosol loading)
POLDER June 24, 2003 t(0.44) 0.26 , SZA470
15
  • Version 2 operational retrieval
  • More robust, more accurate and better
    characterized results
  • Utilize new types of measurements (polarization,
    principle plane, etc)
  • Provide new retrieval products particle shape,
    forcing, etc.
  • Plans
  • Using co-incident observations of MODIS, MISR and
    POLDER
  • Including Lidar information into retrievals
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