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20192023
most citedModeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression

1 citations · 1 across the 5 of their papers we have counts for

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physics.geo-ph2023★ 1 cited

Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression

Anshuman Pradhan, Kyra H. Adams, Venkat Chandrasekaran +4

Modeling groundwater levels continuously across California's Central Valley (CV) hydrological system is challenging due to low-quality well data which is sparsely and noisily sampl…

physics.geo-ph2023

Bayesian Geophysical Basin Modeling with Seismic Kinematics Metrics to Quantify Uncertainty for Pore Pressure Prediction

Josue Fonseca, Anshuman Pradhan, Tapan Mukerji

Bayesian geophysical basin modeling (BGBM) methodology is an interdisciplinary workflow that incorporates data, geological expertise, and physical processes through Bayesian infere…