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The present paper introduces the first steps done towards the development of a land data assimilation system for snow, based on the assimilation of passive microwave brightness temperature (TB) observation. It introduces the coupling of a land surface model (JMA-SiB) used by the Japanese Meteorological Agency (JMA) and a radiative transfer model for snow.In a first step JMA-SiB was extended to consider the change of the snow grain during the winter season, which have a significant impact on the TB observation and the radiative transfer in snow. The model results indicate, that the new version is capable to predict the snow grain size. Furthermore a first version of the coupled system was applied to data observed during the Cold Land Processes Field Experiment (CLPX) in Boulder Colorado (2003), to assimilate the TB change at 89 GHz after snowfall events and the results are in agreement with the observed change of the snow water equivalent at the site.

TOWARDS THE DEVELOPMENT OF A LAND DATA ASSIMILATION SYSTEM FOR SNOW