Extreme precipitation events have the potential to lead to substantial loss of property and lives. Timely and accurate predictions of these events can potentially mitigate some of these losses. Studies show that, as in the recent past, more intense and more frequent extreme precipitation events are expected in the future as a result of anthropogenic global warming. Precipitation response to human activity is complex due to processes active over a broad range of spatiotemporal scales, lack of reliable global observations, inherent model biases, and low signal-to-noise ratio owing to the large internal variability. In this session we invite contributions that focus on the statistics of precipitation extremes in observations, reanalyses, and regional and global climate models; projected changes in the statistics of extreme precipitation and its indices; process-based understating of precipitation extremes (tropical cyclones, mesoscale elements, thunderstorms etc.); as well as prediction, predictability, detection and attribution of extreme precipitation events.