Land-atmosphere interactions in an high resolution atmosphericsimulation coupled with a surface data assimilation scheme

Abstract. A valid tool for the retrieving of the turbulent fluxes that characterize the surface energy budget is consti- tuted by the remote sensing of land surface states. In this study sequences of satellite-derived observations (from SE- VIRI sensors aboard the Meteosat Second Generation) of Land Surface Temperature have been used as input in a data assimilation scheme in order to retrieve parameters that de- scribe energy balance at the ground surface in the Tuscany region, in central Italy, during summer 2005. A parsimo- nious 1-D multiscale variational assimilation procedure has been followed, that requires also near surface meteorolog- ical observations. A simplified model of the surface energy balance that includes such assimilation scheme has been cou- pled with the limited area atmospheric model RAMS, in or- der to improve in the latter the accuracy of the energy budget at the surface. The coupling has been realized replacing the assimilation scheme products, in terms of surface turbulent fluxes and temperature and humidity states during the mete- orological simulation. Comparisons between meteorological model results with and without coupling with the assimila- tion scheme are discussed, both in terms of reconstruction of surface variables and of vertical characterization of the lower atmosphere. In particular, the effects of the coupling on the moisture feedback between surface and atmosphere are con- sidered and estimates of the precipitation recycling ratio are provided. The results of the coupling experiment showed im- provements in the reconstruction of the surface states by the atmospheric model and considerable influence on the atmo- spheric dynamics.