HR: 1340h
AN: A23C-0809 [Abstracts]
TI: MSG Improved Capabilities for Marine Aerosol Characterization
AU: * Moulin, C
EM: cyril.moulin@cea.fr
AF: IPSL/LSCE, CEA-CNRS,, CEA Saclay - Bat.701,, Gif-sur-Yvette, 91191
France
AU: Thieuleux, F
EM: francois.thieuleux@free.fr
AF: IPSL/LSCE, CEA-CNRS,, CEA Saclay - Bat.701,, Gif-sur-Yvette, 91191
France
AU: Breon, F
EM: fmbreon@cea.fr
AF: IPSL/LSCE, CEA-CNRS,, CEA Saclay - Bat.701,, Gif-sur-Yvette, 91191
France
AU: Maignan, F
EM: fabienne.maignan@cea.fr
AF: IPSL/LSCE, CEA-CNRS,, CEA Saclay - Bat.701,, Gif-sur-Yvette, 91191
France
AU: Poitou, J
EM: jean.poitou@cea.fr
AF: IPSL/LSCE, CEA-CNRS,, CEA Saclay - Bat.701,, Gif-sur-Yvette, 91191
France
AU: Tanre, D
EM: tanre@loa.univ-lille1.fr
AF: LOA, CNRS-USTL,, USTL - Bat.P5,, Villeneuve d'Ascq, 59655
France
AB:
Despite their significant contribution to the Earth radiative budget, aerosol spatial and temporal distributions are still
insufficiently quantified at the global scale because of the variability of aerosol sources, particle size distributions and
chemical compositions. Satellite observations are well suited to provide the climate community with the needed aerosol load
distributions, even if most aerosol products suffer from a poor daily coverage. Compared to existing orbiting sensors such as
MODIS or POLDER or to less sophisticated geostationary sensors such as METEOSAT or GOES, MSG multi-spectral measurements in
the visible and near-infrared offer new opportunities to study aerosols at high temporal and spatial resolutions over oceans.
The MSG field-of-view is particularly suitable for the monitoring of aerosol load and transport over the Atlantic and the
Mediterranean, in particular Saharan dust from North Africa, biomass-burning aerosols from subtropical Africa and pollution
plumes from Europe.
We developed an inversion technique that relies on MSG bands at 0.6 and 0.8 æm to estimate both aerosol optical thickness and
Angstr”m coefficient, a parameter characteristic of the particle size distribution. Spectral MSG measurements are compared
to pre-computed values to find the best match. These theoretical values were computed using the 6S radiative transfer model
(Vermote et al., 1997) for a set of aerosol models, which have been extrapolated from the Shettle and Fenn (1979) models to
cover Angstr”m coefficient values between 0 and 2.5. This inversion technique was applied to nine images per day between
09:00 and 16:00 UT for June 2003. A comparison with AERONET in-situ measurements performed in the tropical Atlantic and in
the Mediterranean shows that MSG retrievals have a good accuracy in terms of both optical thickness and Angstr”m coefficient.
Monthly mean maps of both parameters are compared to that of the POLDER sensor for the same period, showing the benefit of
using several images per day instead of one single orbit.
DE: 0305 Aerosols and particles (0345, 4801)
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting