Engineering Commons^™

Uncertainty Analysis For Land Surface Model Predictions: Application To The Simple Biosphere 3 And Noah Models At Tropical And Semiarid Locations, Joshua K. Roundy

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Uncertainty in model predictions is associated with data, parameters, and model structure. The estimation of these contributions to uncertainty is a critical issue in hydrology. Using a variety of single and multiple criterion methods for sensitivity analysis and inverse modeling, the behaviors of two state-of-the-art land surface models, the Simple Biosphere Model 3 and Noah model, are analyzed. The different algorithms used for sensitivity and inverse modeling are analyzed and compared along with the performance of the land surface models. Generalized sensitivity and variance methods are used for the sensitivity analysis, including the Multi-Objective Generalized Sensitivity Analysis, the Extended Fourier …