Deep learning for earthquake hydrology? Insights from the karst Gran Sasso aquifer in central Italy

•Earthquakes can trigger sudden hydrological alterations in karst aquifers.•Flow modelling in seismic karst areas can benefit from memory-enabled deep learning.•The representativeness of the time series is crucial for model reliability.•The importance of earthquake input data is clearly visible in multiday-ahead predictions.