Unexpected turbulence encounters by commercial aircraft is the main cause of aircraft incidents involving injuries to passengers and flight crew. Improving the detection, prediction and dissemination of turbulence information will be key to reducing the number of turbulence incidents. Topics describing progress in the explicit prediction of turbulence, diagnosis of turbulence from operational numerical weather prediction models and methods for quantifying uncertainties of turbulence predictions are also relevant. Topics may focus on specific turbulence-generating mechanisms such as clear air, mountain wave or convection. Topics can also span the range of spatial scales from estimating turbulence structures within an urban landscape to predicting the likelihood for turbulence at the global scale.