Climatology data of IR land spectral emissivity derived from IASI 3-year measurements

Hyperspectrally-resolved surface emissivities are derived with an algorithm utilizing a combined fast radiative transfer model (RTM) with a molecular RTM and a cloud RTM accounting for both atmospheric absorption and cloud absorption/scattering. Clouds are automatically detected and cloud microphysical parameters are retrieved; emissivity is retrieved under clear and optically thin cloud conditions. The retrieval technique separates surface emissivity from skin temperature by representing the emissivity spectrum with eigenvectors derived from a laboratory measured emissivity database. Hyperspectrally-resolved surface emissivities retrieved from IASI are initially validated over the Namib and Kalahari deserts. Presented here is climatology data based on global land surface IR spectral emissivity retrieved from IASI measurements. Seasonal products of global land emissivity (3-year-based weekly mean with a scale of 0.5×0.5 degrees of latitude-longitude) over an annual cycle are used to demonstrate the capability of current operational satellite instruments in monitoring for the Earth’s environment.