Dataset for "A reparameterization method based on Info-VAE-GAN for quantifying groundwater model structural uncertainty"

The dataset for “A data-driven method coupling multiple physical constraints for correcting structural errors in groundwater contaminant transport models” contains groundwater head predictions generated using the Info-VAE-GAN reparameterization method and Bayesian Model Averaging (BMA). The data are derived from both a synthetic groundwater flow model and a groundwater flow model of the Dagu River Basin.