Estimation of Low-Level Turbulence Utilizing the Proper Orthogonal Decomposition and Particle Filter

The proper orthogonal decomposition (POD) and the particle filter (PF) are applied to estimate the low-level turbulence around an airport. POD is introduced to represent a wind velocity field by a reduced-order model. PF is employed to estimate coefficients of POD by using observed velocity components from the broadband radar located at an airport. In this study, a numerical experiment was conducted to investigate the effectiveness of the proposed method by comparing the estimated wind velocity field with the original wind velocity field obtained from large eddy simulation (LES). From the comparison results, the variation of turbulence intensity obtained from the present approach was found similar to the original LES result. The main advantage of the present approach is much lower computational cost compared to LES.