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In a systematic study the quality of the numerical predictions of mean wind fields is evaluated with a focus on the identification of model strengths and limitations.
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It is designed to rapidly generate mean wind field predictions which provide input to atmospheric dispersion models and wind engineering applications.
However, the stress reversals during blade passages through the stagnating and deflected mean wind field in front of the tower also contributes significantly.
The calculated result shows rather good agreement regarding the mean wind field and the turbulent energy spectra in the low frequency.
The two factors which govern the wave propagation direction in the mesopause region are (1) its source location in the lower atmosphere relative to the observer and (2) the background mean wind field in the stratosphere and mesosphere.
The correlated nonstationary fluctuations of the downburst are stochastically simulated by the Hilbert-wavelet scheme based on full-scale data, and then superimposed onto the CFD-based transient mean wind field.
For instance, DW5 has a very short vertical wavelength and is therefore relatively more susceptible to dissipation; in addition, due to its large zonal wavenumber (and therefore slow zonal phase speed), DW5 may also be significantly influenced by the mean wind field.
Diurnal tides interact with the zonal mean zonal wind fields in the MLT (Miyahara 1978; McLandress 2002; Miyoshi et al. 2017).
The simulated time-varying mean wind velocity field of a typical downburst event is validated using available field measurements.
The pentad mean data of wind fields and geopotential heights were calculated using daily data in the same manner as that for rainfall data.
This extremely conservative model, which ignores inhomogeneity in the mean wind and turbulence fields, also predicts possible hazardous concentrations up to several hundred meters downwind from a maximal release.
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