Description: Prototype and demonstrate deep neural network architectures that can handle discontinuous observations and spatially correlated streams. Integrate with a current machine learning system for prediction in mission operations and science data.

Benefits: Infusion of these methods will substantially improve prediction and forecasting performance over currently implemented traditional machine learning methods leading to more efficient operations and longer lead warning times for incidents.