A Fast Surrogate-facilitated Data-driven Bayesian Approach to Uncertainty Quantification of a Regional Groundwater Flow Model with Structural Error

Tianfang Xu, Michigan State University, Department of Earth and Environmental Sciences, East Lansing, United States, Albert J Valocchi, University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, Urbana, United States, Ming Ye, Florida State University, Earth, Ocean, and Atmospheric Science, Tallahassee, United States and Feng Liang, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, IL, China
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