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Remote sensing of aerosol from space is a challenging and typically  underdetermined retrieval task, requiring many assumptions to be made  with respect to the aerosol and surface models. Therefore, the quality  of a priori information plays a central role in any retrieval process  (apart from the cloud screening procedure and the forward radiative  transfer model, which to be most accurate should include the treatment  of light polarization and molecular-aerosol coupling). In this paper  the performance of various algorithms with respect to the of spectral aerosol optical thickness determination from optical spaceborne  measurements is studied. The algorithms are based on various types of  measurements (spectral, angular, polarization, or some combination of  these). It is confirmed that multiangular spectropolarimetric  measurements provide more powerful constraints compared to spectral  intensity measurements alone, particularly those acquired at a single  view angle and which rely on a priori assumptions regarding the  particle phase function in the retrieval process

The inter-comparison of major satellite aerosol retrieval algorithms using simulated intensity and polarization characteristics of reflected light