Bridging ML and Subseasonal-to-Seasonal Forecasting: Exploring Sources of Predictability of Hydroclimatic Extremes Using Explainable Neural Networks

Hydroclimatic extremes such as droughts and heatwaves can be supported by precipitation and temperature forecasts (White et al. 2022). These predictions can aid the decision-making process across a wide range of industries at the subseasonal-to-seasonal (S2S) timescale (White et al. 2017), which includes lead times spanning two weeks up to a few…