First-order Uncertainty Analysis using Algorithmic Differentiation of Morphodynamic Models
A first-order second moment method (FOSM) is applied to quantify uncertainty This method uses Algorithmic Differentiation (AD) and a Tangent Linear Model (TLM) The method is compared with Monte Carlo analysis in a trench migration test case A TLM of the Telemac-2d/Sisyphe morphodynamic model has been applied The FOSM/AD method is an efficient alternative to Monte Carlo simulations
uncertainty analysis algorithmic differentiation morphodynamics monte carlo simulation process-based modelling sensitivity analysis