H. Küchenhoff

Probabilistic Deep Learning for Drought Forecasting: Role of Internal Climate Variability

A deep-learning-based forecasting framework for European drought prediction is proposed and extended with an uncertainty-aware drought bound that explicitly incorporates internal forecast variability from a large climate model ensemble, showing that internal variability should be treated as a forecast quantity in its o...