Precipitation estimation and nowcasting in mountainous regions are of large importance due to strong spatial variability and orographic forcing. Currently, Switzerland sets up a new precipitation radar network (Rad4Alp) using dual-polarized Doppler C-band radar with a radial resolution of 83m. We are among the first to analyze these data in a mountainous region, where serious shielding and reflection from non-weather targets have to be considered. An explorative study using the raw data is presented. A median and a finite impulse response (FIR) filter are tested and compared for φDP smoothing and subsequent KDP derivation. A fuzzy logic classification scheme for the distinction of weather, clutter and clear air echo is applied and compared with the operation clutter removal algorithm of MeteoSwiss