IWRA Proceedings

AbstractThe advancements in artificial intelligence models have demonstrated notable progress in the field of hydrological forecasting. However, predictions of extreme climate events are still a challenging task. This work presents the development and testing procedures of several interpretable machine learning techniques for short-term meteorological drought forecasting. These techniques were implemented to forecast multi-temporal drought indices, three-month and six-month standardized precipitation evapotranspiration (SPEI-3 and SPEI-6), at the seven islands that form the Canary Islands...