ABSTRACT The goal of the present study was to exploit the volumetric data from the W ideumont weather radar to estimate the occurrence and severity of hail over a period of 10 years (2003–2012). The radar is located in the southeastern part of B elgium and its domain covers B elgium, L uxembourg and some parts of G ermany, F rance and T he N etherlands. Two hail detection algorithms were used for detecting hail falls in the volumetric radar data. The algorithms provide an empirical estimation of the probability of hail ( POH ) and the probability of severe hail ( POSH ). The study shows that post‐processing of probabilities by means of the advection correction significantly influences the statistical results about hail occurrence. The advection correction is very effective in reducing the ‘fishbone effect’ due to a temporal sampling of the radar data that is too low, which has an impact on the geographical distribution of the hail fall frequencies over the study domain. The post‐processed POH and POSH datasets are verified against hail reports at the ground. The statistics obtained show that the diurnal cycle of hail falls has a pronounced peak in the 1500–1600 UTC (local solar time + 1 h) time interval with 28% of all hail events occurring in J uly and 30% of severe hail events occurring in M ay. Nevertheless, severe hail events have a low occurrence in absolute terms and longer time series of observations are required to obtain a more reliable severe hail climatology.