Description:

This session is devoted to data sciences and machine learning techniques in weather radar observations and quantitative applications. Topics include but are not limited to weather radar signal and data processing, physical sciences in radar meteorology and hydrology, and radar applications such as precipitation classification, estimation and nowcasting. This session will also feature presentations about combining radar measurements in the context of numerical model assimilation and short-term forecasts, as well as multiscale data fusion and regularization.