131 citations · 349 across the 6 of their papers we have counts for
6 papers
Using Deep Learning to Improve Ensemble Smoother: Applications to Subsurface Characterization
Jiangjiang Zhang, Qiang Zheng, Laosheng Wu +1
Ensemble smoother (ES) has been widely used in various research fields to reduce the uncertainty of the system-of-interest. However, the commonly-adopted ES method that employs the…
Physics-informed semantic inpainting: Application to geostatistical modeling
Qiang Zheng, Lingzao Zeng, Zhendan Cao +1
A fundamental problem in geostatistical modeling is to infer the heterogeneous geological field based on limited measurements and some prior spatial statistics. Semantic inpainting…
Surrogate-Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Approximation Error
Jiangjiang Zhang, Qiang Zheng, Dingjiang Chen +2
Bayesian inverse modeling is important for a better understanding of hydrological processes. However, this approach can be computationally demanding, as it usually requires a large…
Inverse modeling of hydrologic systems with adaptive multi-fidelity Markov chain Monte Carlo simulations
Jiangjiang Zhang, Jun Man, Guang Lin +2
Markov chain Monte Carlo (MCMC) simulation methods are widely used to assess parametric uncertainties of hydrologic models conditioned on measurements of observable state variables…
Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems with a Kalman-Inspired Proposal Distribution
Jiangjiang Zhang, Jasper A. Vrugt, Xiaoqing Shi +3
Bayesian analysis is widely used in science and engineering for real-time forecasting, decision making, and to help unravel the processes that explain the observed data. These data…
An iterative local updating ensemble smoother for estimation and uncertainty assessment of hydrologic model parameters with multimodal distributions
Jiangjiang Zhang, Guang Lin, Weixuan Li +2
Ensemble smoother (ES) has been widely used in inverse modeling of hydrologic systems. However, for problems where the distribution of model parameters is multimodal, using ES dire…