131 citations · 137 across the 4 of their papers we have counts for
4 papers
Trimmed Ensemble Kalman Filter for Nonlinear and Non-Gaussian Data Assimilation Problems
Weixuan Li, W. Steven Rosenthal, Guang Lin
We study the ensemble Kalman filter (EnKF) algorithm for sequential data assimilation in a general situation, that is, for nonlinear forecast and measurement models with non-additi…
Sliced-Inverse-Regression-Aided Rotated Compressive Sensing Method for Uncertainty Quantification
Xiu Yang, Weixuan Li, Alexandre Tartakovsky
Compressive-sensing-based uncertainty quantification methods have become a pow- erful tool for problems with limited data. In this work, we use the sliced inverse regression (SIR)…
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…
An Inverse Gaussian Process Monte Carlo algorithm for estimation and uncertainty assessment of hydrologic model parameters
Jiangjiang Zhang, Weixuan Li
Solving hydrologic inverse problems usually requires repetitive forward simulations. One approach to mitigate the computational cost is to build a surrogate model, i.e., an approxi…