Dale Durran

Machine Learning Based Sub-Seasonal Forecasting - Using a Deep Learning Weather Prediction (DLWP) model based on convolutional neural networks (CNNs) to generate data-driven global subseasonal-to-seasonal (S2S) forecasts.

Predictability of Mid-Latitude Cyclones - Assessing the degree to which the original Lorenz systems can be applied to moist mid-latitude cyclones by using a convection-permitting idealized model compared to the growth of synoptic-scale perturbations derived from an adjoint model.