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Aerosol retrievals from METEOSAT-8 - CM SAF

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<strong>SAF</strong> on Climate Monitoring Visiting Scientists Report Doc. No: 1.0<br />

Issue : 1.0<br />

Date : 4 October 2006<br />

<strong>retrievals</strong> <strong>from</strong> SEVIRI there was limited time to elaborate a complete and robust algorithm. The<br />

feasibility of MSG/SEVIRI for <strong>retrievals</strong> of aerosol properties over land could be demonstrated, but<br />

with a lot of assumption that could have been avoided if more time would have been available.<br />

We used a simple cloud mask. The algorithm can then be upgraded and improved by using high<br />

performance cloud mask <strong>from</strong> the <strong>CM</strong>-<strong>SAF</strong> or NWC<strong>SAF</strong>. For the reference surface reflectance<br />

map, the cloud mask should include the detection of neighboured cloudy pixels (i.e. cloud free pixel<br />

near cloudy pixels) to exclude effects due to cloud borders. In future algorithm developments it is<br />

preferable to use the official cloud mask and to include a morphological mask that removes<br />

shadowed pixels that have lower reflectances than the surface. In appendix A the results for the<br />

northern part of the disc, as observed by MSG, are given using a more restrictive cloud mask. We<br />

only used one aerosol model: a continental model used in MERIS LUT's. It would be interesting to<br />

use appropriate model just based on simple climatology: desert dust over Africa, maritime model<br />

over ocean and burning biomass over Amazonia. As presented in the next section called “future<br />

improvements”, the use of others channels (0.865 µm and 1.650 µm) should be researched to get<br />

information on the spectral dependence of aerosols and an index of the size distribution which will<br />

be an indicator of the aerosol type.<br />

We used the single scattering assumption to simplify the calculations and to avoid use of LUT's,<br />

which could not be prepared due to the limited time available for this “visiting scientist” activity. Of<br />

course it is a source of uncertainty and systematic bias. Neglecting multiple scattering in the<br />

atmosphere is a strong assumption, especially when large amount of aerosols occurs and in the case<br />

of large solar-viewing zenith angles. This point can be easily solved by using Look Up Tables<br />

computed with an accurate radiative transfer model. The limitation is that a lambertian surface has<br />

to be assumed in those computations. However it is possible to correct for bidirectional effects<br />

when one knows the shape of the BRDF (Vermote et al. 1997, Ramon et al. 2001), which can be<br />

partly measured by SEVIRI. So an iterative approach seems possible here.<br />

7 Conclusions and perspectives<br />

SEVIRI is a powerful instrument for monitoring rapidly changing parameters of the atmosphere,<br />

and tropospheric aerosols fall into this category (see Appendix B for forest fires in Portugal in July<br />

2005). The survey of user requirements showed the need for an aerosol product <strong>from</strong> MSG/SEVIRI<br />

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