Localized Extreme Event Forecasting

Storms, droughts, fires, floods, and other extreme events are expected to become stronger and more frequent as climate change progresses. Machine learning can be used to refine what are otherwise coarse-grained forecasts (e.g., generated from climate or weather prediction models) of these extreme weather events. These high-resolution forecasts can guide improvements in system robustness and resilience.

ML Application Areas
Flood Prediction: Machine Learning algorithms have shown huge potential to predict floods in both the short and long runs. In fact, Autoregressive Artificial Neural Networks have been demonstrated to outperform conventional statistical methods, such as Autoregressive Moving Average (ARMA), for long-term flood prediction.

Literature Reviews

 * Machine Learning for Flood Prediction