Dynamical systems such as atmosphere and oceans are characterized by variability on a large range of temporal and spatial scales. Consequently, the resolution of models, measurements and retrievals are often insufficient. Downscaling methods, based on dynamical or statistical approaches or their combination, are then needed to generate time series and fields with an appropriate spatial or temporal resolution. This session aims to bring together scientists from all geoscientific disciplines working on downscaling problems. The focus will be on studies addressing methodological questions, introducing new algorithms, as well as research comparing and validating methods and assessing their added value as well as limitations. Also state-of-the-art applications of downscaling methods highlighting these issues are welcome. Contributions are sought both on dynamical and statistical downscaling, including bias correction.