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Aerosol optical thickness retrieval over land and water using SCIAMACHYGOME data

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TNO Physics and Electronics Laboratory. Aerosol optical thickness retrieval ... investigators: Didier Tanr , Brent Holben, Philippe Goloub and Giuseppe Zibordi, ... – PowerPoint PPT presentation

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Title: Aerosol optical thickness retrieval over land and water using SCIAMACHYGOME data


1
Aerosol optical thickness retrieval over land and
waterusing SCIAMACHY/GOME data
  • J. Kusmierczyk-Michulec
  • G. de Leeuw

2
The SCanning Imaging Absorption SpectroMeter for
Atmospheric CHartographY (SCIAMACHY) on board
the ESA Envisat satellite
  • launched in March 2002
  • high-resolution (0.2-0.4 nm) spectrometer
  • wavelength range 240--2380 nm
  • Swath Dim. 960 km (cross track) by
  • 25 km (along track at
    nadir)
  • Nadir scan 4 pixels of 240 km (cross track)
    by 25 km (along track)
  • Limb scan 960 km (cross track) vertical
    tangential step size 3.0 km

http//envisat.esa.int/
3
The Global Ozone Monitoring Experiment (GOME)
  • Launched in April 1995
  • 4-channel grating spectrometer
  • Spectral resolution 0.2-0.4 nm
  • Wavelength range 240 -790 nm
  • One across-track 3 ground pixels 40 km x 320 km

GOME aboard ERS-2 (courtesy of ESA)
4
Aerosol retrieval algorithm for SCIAMACHY/GOME
where ?atm ?R ?a ?aR ?s is the zenith
solar angle ?? is the zenith observation angle
?s -?? is the relative azimuth between the
incident and observation vertical
planes
5
TOA reflectance - example
  • Ra is based on the sunphotometer
  • measurements in Ispra (03.06.98)
  • (Holben et al. 1998)
  • Rtoa - GOME data

6
Spectral reflectances of natural surfaces
-examples
LER-Lambertian Equivalent Reflectance derived
from reflectances measured by GOME (R.
Koelemeijer et al., 2003)
7
Approach over land/water for GOME
Reflectances at TOA measured by GOME (380, 440,
463, 495, 555, 670 nm)
LUT of aerosol/atmospheric/Rayleigh
reflectances for a given satellite and solar
geometry 3 predominantly aerosol
types -maritime, lt-0.1, 0.65gt - continental,
lt0.65, 1,32gt - urban, lt1.32, 2.8gt
Cloud screening FRESCO algorithm (Koelemijer et
al., 2001,2002)
Correction for ozone absorption
The best fit with aerosol model
Surface correction GOME surface reflectances
database
AOD
8

Validation
9

Validation
10

Validation
11

Validation
12

Validation
13

Validation
14

Validation
15

Validation
16

Validation
17
Outline
Aerosol optical thickness, winter 1997
18
Aerosol optical thickness, winter 2000
19
Aerosol optical thickness, summer 1997
20
Aerosol optical thickness, summer 2000
21
Aerosol optical thickness, spring/autumn 1997
22
Aerosol optical thickness, spring/autumn 2000
23
Acknowledgments
  • We thank the PI investigators Didier Tanré,
    Brent Holben, Philippe Goloub and Giuseppe
    Zibordi, and their staff for establishing and
    maintaining the AERONET sites used in this
    investigation.
  • We acknowledge Piet Stammes and Martin de Graaf
    for kindly providing us GOME data and the results
    from FRESCO algorithm.
  • The algorithm was developed as part of the EO-037
    project of the National Data User Support Program
    of the Netherlands Space Research Organization
    (SRON).

24
Illustration of the retrieval process- example 1
25
Illustration of the retrieval process example 2
26
Illustration of the retrieval process example 3
27

Contribution of the surface to TOA reflectance
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