Abstract
Radar measurements are one of the key data sources for detection and nowcasting of convective storms and accompanying severe phenomena. Radar algorithm estimating probability of hail occurrence was first implemented in the Czech Hydrometeorological Institute (CHMI) in 2004. Development of new radar products estimating probability of severe hail occurrence and their visualization has taken place in the CHMI in recent years. This article describes evaluation of radar products which, combined with temperature sounding measurements, determine probability of hail occurrence and provide estimates of maximum hail size. These products are operationally produced in CHMI and visualized in a new JSMeteoView2 application which serves as the main tool for visualization of radar data and other remote sensing data in combination with detailed geographical layers. The article discusses performance of radar hail products tested on a large set of data and their operational usability when estimating hail presence.
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