Ryan Torn's current research focuses on trying to understand atmospheric predictability by determining the source and growth of uncertainty within numerical models across a number of timescales using ensemble forecasts. This includes employing sensitivity analysis, which can be used to identify locations where to take observations that could improve the forecast.  He is an expert in both hurricane and atmospheric river forecasting.