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Retrieval of Aerosol Properties from Space

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Title: Retrieval of Aerosol Properties from Space


1
Retrieval of Aerosol Properties from Space
Gerrit de Leeuw, Cristina Robles Gonzalez,
Jolanta Kusmierczyk-Michulec, Rob Decae
2
Objectives
  • Retrieve aerosol properties using data from
    spectrometers aboard satellites
  • Spatial resolution ? 1 x 1 km2
  • Local, regional or global coverage
  • Aerosol Optical Depth (AOD)
  • Ã…ngström parameter
  • Aerosol types and mixing ratio
  • Assimilation of the results in chemistry
    transport models
  • constrain the models
  • improve the retrieval
  • Applications
  • Climate
  • Weather forecasting
  • Air quality/Chemical weather
  • Atmospheric correction

3
Along Track Scanning Radiometer 2
  • Radiometer on ERS-2
  • Seven Bands, four in VIS/NIR (0.555, 0.659,
    0.865 and 1.6 ?m)
  • Swath Width 500 km
  • Spatial Resolution 1x1 km2
  • Dual-View capability

4
ATSR-2 Dual-View Algorithm
  • Spectral and Directional information of ATSR-2
  • Shape of the BRDF independent of the wavelength
  • Effects of aerosols small at 1.6 µm
  • Bi-modal aerosol model
  • Veefkind et al., GRL vol 25, no. 16, 3135-
    3138, 1998

Accuracy 0.06 0.05 at 0.659?m
Single view algorithm (over water) Accuracy
0.04 0.01
5
Aerosol Optical Depth over Europe
Robles-Gonzalez et al., 2000.
6
ATSR-2 data assimilation in LOTOS
(Builtjes et al., 2000)
7
ATSR-2 algorithmsRecent advancements
  • Automated cloud detection over land following
    criteria of Koelemeijer and Stammes 1999
  • The old algorithm had two aerosol types
  • Marine
  • Contintental
  • Distributed in the vertical following the BL
    structure
  • Other aerosol types were added
  • dust, black carbon, biomass aerosol, organic,
    sulphate, nitrate, sea salt
  • Vertical distribution according to climatology
    and available data
  • Aerosol mixtures, chosen from climatological and
    other data sets
  • LUTs prepared using radiative transport model
    (DAK Stammes et al., 1989)

8
Comparison with AATS data (SAFARI 2000)
Schmid et al., JGR 2002, in press
9
Comparison with AATS data (SAFARI 2000)
Schmid et al., JGR 2002, in press
10
INDOEX 1999Combined dual view (over land) and
single view (over water)
11
INDOEX 1999Comparison with AERONET sun
photometer data
12
INDOEX 1999Comparison with AERONET sun
photometer data
13
INDOEX 1999Ångström parameters
Polluted
Marine
14
INDOEX 1999Mixing ratio sea spray and ind.
polluted mixture
Polluted
Sea Spray
15
ATSR-2 retrievals assimilated in TM3
Verver et al. 2002
16
Initialisation of retrieval using model results
as first estimate for the aerosol type
Verver et al. 2002
17
Instruments used at TNO-FEL
  • ATSR-2 (ESR-2)
  • dual view over land
  • single view over sea
  • GOME (ERS-2)
  • UV method
  • AATSR (ENVISAT)
  • similar to ATSR-2
  • SCIAMACHY (ENVISAT)
  • UV method over land
  • IR over water
  • OMI (AURA)
  • UV method
  • MSG/SEVIRI

18
CONCLUSION
  • Algorithms for several instruments are available,
    for retrieval over water and over land
  • The ATSR-2 algorithm has been extended with
    automated cloud screening over land and more
    aerosol types
  • Comparison with AATS (SAFARI) and AERONET
  • Assimilation in chemistry transport models
  • LOTOS PM2.5
  • TM3 INDOEX area
  • The assimilation in TM3 is a pre-study for the
    application of SCIAMACHY data
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