We propose a coupled clustering approach to support groundwater level predictions.
The spatial clusters of regional groundwater piezometers are derived through SOM.
Stepwise cluster inference models are developed to perform multisite predictions.
The approach is well demonstrated in an irrigation area of the China Hexi Corridor.
Such post-processor as the AR error model helps to improve the prediction accuracy.