Spatial Wind Field Simulation Based on Wavelet Method

Abstract:

To overcome inadequacy of timevarying models based on adaptive filters and windowed estimation for short time series,a wavelet decomposition method is employed to present a new method for simulating fluctuating wind field,combined with vector AR model of linear filter method.Wavelet expansion is performed for autoregressive coefficients of AR model in adequate space,adopting least square method to estimate the above autoregressive coefficients.Simulating procedure for spatial wind field based on the method is given.The method is applied to simulating the fluctuating wind field of a spatial structure.And comparison between the simulating results and target values,results obtained from vector AR model are made.The results show that the proposed method diminishes information loss in frequency domain,and can accurately simulate short time series with a fairly high calculating efficiency.

Key words:wavelet decomposition; spatial fluctuating wind field simulating; vector autoregressive model; least square method