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The quality of hydrological modelling is limited due to the restrictedavailability of high resolution temporal and spatial input data such astemperature, global radiation, and precipitation. Radar-based rainmeasurements provide good spatial information. On the other hand, using radardata is accompanied by basic difficulties such as clutter, shielding,variations of Z/R-relationships, beam-resolution and attenuation. Instead ofaccounting for all errors involved separately, a robust Z/R-relationship isestimated in this study for the short range (up to 40 km distance)using inverse hydrological modelling for a continuous period of three monthsin summer 2001. River gauge measurements from catchment sizes around100 km2 are used to estimate areal precipitation and finallyZ/R-relationships using a calibrated hydrological model. The study isperformed in the alpine Ammer catchment with very short reaction times of theriver gauges to rainfall events

Radar rainfall estimates in an alpine environment using inverse hydrological modelling