The prediction of intensity and structure of typhoons has been extremely challenging due to numerous factors. Included are lack of understanding the key dynamic and thermodynamic processes, large uncertainties from the complex environments and internal dynamics, multiscale interactions among different physical processes (radiation, planetary boundary layer, microphysics, etc.) and various geophysical components (such as ocean, land and atmosphere), suboptimal assimilation of observations due to approximation and limitation of current analysis techniques (such as variational, ensemble, and hybrid methods), a large gap between the scales that observations and the numerical modeling system might represent or resolve, significant systematic error (e.g., “bias”) in numerical prediction systems, and limited representations of physical processes in numerical models. This session solicits abstracts in studying the key dynamic and thermodynamic processes of typhoon structure and intensity changes and in developing data assimilation algorithms and physical parameterization schemes to improve numerical simulation and prediction of typhoons.