Exploiting Output Coordinates for Efficient Global Sensitivity Analysis of Regional Storm Surge Forecasting via Neural Fields
A framework that integrates neural field surrogates into variance-based global sensitivity analysis of high-dimensional spatially distributed outputs, replacing multiple dimensionality-reduction and surrogate-fitting steps with a single unified model enables more reliable identification of the dominant drivers of storm...