Physics-guided deep learning for rainfall-runoff modeling by considering extreme events and monotonic relationships

•Synthetic samples are added to LSTM by previously undiscussed physical mechanisms.•Using extreme events to improve flood peaks and avoid negative streamflow.•Proposed PHY-LSTM outperforms conventional one both in local and regional models.•Physics-based monotonic relationships are upheld in the PHY-LSTM.