The compound extremes of hydrometeorological variables might not only
affect as an extreme from a single variable, but might also result due
to their interaction in time and space. This occurrence is called
compound unusual events. A statistical approach based on the data depth
function is being used to identify these occurrences in the multivariate
dataset. To illustrate the methodology, the daily historical series of
precipitation and mean temperature series from several selected
observation stations in Germany will be used. The zero values of
precipitation and the anomalies of mean temperature are used in this
study. This study will help in answering the occurrence of unusual
events for both variables on temporal and spatial scales.