Wind and Air Flow StudiesMeteorological Phenomena and SimulationsProbabilistic and Robust Engineering Design

Quantifying Parametric Uncertainty in Turbulence Model for the Numerical Simulation of Atmospheric Boundary Layer Flows Using Dimensionality Reduction and Bayesian Regression

Haoyan Li, R. Amaduzzi, G. Mosca, Sampath Kumar Raghunathan Srikumar, Alessandro Gambale, A. Parente

2026.5.1JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

DOI: 10.1016/j.jweia.2026.106397

Abstract

Abstract is not available.

Citation format

LI, Haoyan, et al. Quantifying parametric uncertainty in turbulence model for the numerical simulation of atmospheric boundary layer flows using dimensionality reduction and bayesian regression. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2026, 272: 106397.