Geohazards typically involve patterns characterized by strong variability and spanning a wide range of scales in space and in time. An effective characterization of their scaling aspects is often essential for our better understanding of the processes involved, supporting risk analysis, hazard prediction, assessment, and recovery. This session is dedicated to the sharing of the latest results of research on scaling aspects in natural hazards, the physics behind the patterns, and the methodological implications for the study of natural hazard processes. This includes – but is not limited to – scaling properties leading to the characterization of patterns and pattern change in time series, in physical fields in the atmosphere and the oceans, in higher-dimensional datasets, etc. Contributions focusing on observations, models, and practical applications concerning all types of natural hazards are welcome.