A Driver‐Aware Machine Learning Approach for Predicting the Severity of Decadal‐Scale Extreme Climate Events
The prediction of the decadal‐scale severities of extreme wet and dry events requires long‐term records of data to capture long‐term fluctuations. Recently, purely data‐driven machine learning models have shown excellent performance in modelling precipitation and other water cycle variables when sufficiently long and...