  In this paper, we explore the determination of a spectral emissivity profile
that closely matches real data, intended for use as an initial guess and/or
a-priori information in a retrieval code. Our approach employs a Bayesian
method that integrates the CAMEL (Combined ASTER MODIS Emissivity over Land)
emissivity database with a land cover map. The solution is derived as a convex
combination of high-resolution Huang profiles using the Bayesian framework. We
test our method on IASI (Infrared Atmospheric Sounding Interferometer) data and
find that it outperforms the linear spline interpolation of the CAMEL data.
