Improved Radar Composites and Enhanced Value of Meteorological Radar Data Using Different Quality Indices

Radar measurements are inherently affected by various meteorological and non-meteorological factors that may lead to a degradation of their quality, the unwanted effects also transferred into composites, i.e., overlapping images from different radars. The paper was aimed at answering research question whether we could create ‘cleaner’ radar composites without disturbing features, if yes, how operational practice take advantage improved results. To achieve these goals, qRad qPrec software packages, based on concept quality indices, were used. package estimates true C-band volume data using indices attempts correct some adverse measurements. uses probabilistic approach estimate precipitation intensity, heterogeneous input quality-based outputs software. advantages which offer benefits, among others, for aviation meteorology. At same time, manifested through quantitative estimation, can be translated hydrological modeling or climatological mapping. Beyond this, developed indirectly contributes sustainability environmental protection—for instance, enabling fuel savings due more effective planning flight routes avoiding runway excursions information increased risk aquaplaning.