In the recent years much effort was devoted to the improvement of the data assimilation schemes (with the introduction of DATA assimilation in time), to the refinement of the cloud microphysics schemes and of the representation of the surface-atmosphere exchanges (in particular the land surface).

One of the most relevant results is the increased accuracy of the quantitative precipitation forecasts at both point and area level and in time, which has led to the operational coupling of flood and hydrological forecasts model with RAMS.
The forecastsf the low level winds have equally gained in accuracy after the refinement of the surface exchange schemes.

The Meteorology and Climatology subsystem of LaMMA, in cooperation with the Remote Sensing subsystem of LaMMA and the Mission Research Corporation, *Aster Division, made RAMS operational after more than two years of application, in particular:

• accurately reconstructing the surface conditions, both at the sea surface (sea surface temperatures updated every week or less) and the land surface (soil types, land use, seasonal dependence), making extensive use of satellite imagery;
• configuring the model to get the best quantitative precipitation and low level circulation forecasts;
• developing the procedures to assimilate the initial and boundary data produced by ECMWF - European Centre for Medium range Weather Forecasts;
• developing the control procedures to manage the executions and the graphical rendering (automation of the graphical package VIS5D).

The two areas are nest in a two-ways mode, thus the fields are always consistent and at equilibrium.