dimensionality-reduction

Fighting the Curse of Dimensionality in Uncertainty Quantification

Talk

Improving the Quasi-Biennial Oscillation via a Surrogate-Accelerated Multi-Objective Optimization

Abstract Accurate simulation of the quasi-biennial oscillation (QBO) is challenging due to uncertainties in representing convectively generated gravity waves. We develop an end-to-end uncertainty quantification workflow that calibrates these gravity …

Polynomial Chaos Surrogate Construction for Random Fields with Parametric Uncertainty

Engineering and applied science rely on computational experiments to rigorously study physical systems. The mathematical models used to probe these systems are highly complex, and sampling-intensive studies often require prohibitively many …

Spatio-Temporal Surrogate Construction and Calibration of E3SM Land Model

Talk

Reduced-Dimensional Neural Network Surrogate Construction for the E3SM Land Model

Talk

Uncertainty Quantification and Calibration of E3SM Land Model

Poster

Reduced-Dimensional Neural Network Surrogate Construction for the E3SM Land Model

Talk

Reduced-Dimensional Neural Network Surrogate Construction and Calibration of the E3SM Land Model

Talk

Reduced-Dimensional Neural Network Surrogate Construction and Calibration of the E3SM Land Model

Talk

Uncertainty Quantification and Parameter Calibration for High-Dimensional Output Fields of Earth System Models

Poster